Research Article
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Year 2024, Volume: 24 Issue: 4, 687 - 714, 01.11.2024
https://doi.org/10.21121/eab.20240414

Abstract

References

  • Acquah, I. S. K. (2023). Modelling the importance of collaborative culture and its dimensions for supply chain collaboration: A necessary condition analysis. RAUSP Management Journal, 58(2), 125-142.
  • Adomako, S. and Nguyen, N. P. (2023). Digitalization, inter-organizational collaboration, and technology transfer. The Journal of Technology Transfer, 49(4), 1176-1202.
  • Aguinis, H., Gottfredson, R. K. and Joo, H. (2013). Best-practice recommendations for defining, identifying, and handling outliers. Organizational Research Methods, 16(2), 270-301.
  • Ahmad, S. Z. and Khalid, K. (2017). The adoption of M-government services from the user’s perspectives: Empirical evidence from the United Arab Emirates. International Journal of Information Management, 37(5), 367-379.
  • Al-khateeb, B. A. A. (2024). E-collaboration and academic performance of lecturers. International Journal of E-Collaboration, 20(1), 1-15.
  • Al-Khatib, A. W. and Valeri, M. (2022). Can intellectual capital promote the competitive advantage? service innovation and big data analytics capabilities in a moderated mediation model. European Journal of Innovation Management, 27(3), 263-289.
  • Al-Omoush, K. S., de Lucas, A. and del Val, M. T. (2023). The role of e-supply chain collaboration in collaborative innovation and value-co creation. Journal of Business Research, 158, 113647.
  • Alsaad, A., Mohamad, R. and Ismail, N.A. (2014). The moderating role of power exercise in B2B e-commerce adoption decision. Procedia –Social and Behavioral Sciences, 130, 515-523.
  • Alsaad, A., Mohamad, R., Taamneh, A. and Ismail, N.A. (2018). What drives global B2B e-commerce usage: an analysis of the effect of the complexity of trading system and competition pressure. Technology Analysis & Strategic Management, 30(8), 980-992.
  • Adaku, A. A. and Amanor‐Boadu, V. (2022). Typology and performance of inter-organizational relationships among ghanaian farmers. International Food and Agribusiness Management Review, 25(3), 379-392.
  • Ammeter, A., Douglas, C., Ferris, G. and Goka, H. (2004). A social relationship conceptualization of trust and accountability in organisations. Human Resource Management Review, 14(1), 47-65.
  • Ardakani, D. A., Soltanmohammadi, A. and Seuring, S. (2023). The impact of customer and supplier collaboration on green supply chain performance. Benchmarking: An International Journal, 30(7), 2248-2274.
  • Ardyan, E., Nurtantiono, A., Istiyanto, B. and Retnawati, B. B. (2018). The importance role e-collaboration capability and information system maturity on knowledge sharing and SMEs marketing performance. International Journal of e-Collaboration, 14(1), 43-65.
  • Asif, M., Sarim, M., Khan, W., & Khan, S. (2023). Ism- and micmac-based modelling of dairy supply chain: a study of enablers in indian economy perspective. British Food Journal, 126(2), 578-594.
  • Avcı, S. (2022). Examining the factors affecting teachers’ use of digital learning resources with utaut2. Malaysian Online Journal of Educational Technology, 10(3), 200-214.
  • Baah, C., Agyeman, D. O., Acquah, I. S. K., Agyabeng-Mensah, Y., Afum, E., Issau, K., Ofori, D. and Faibil, D. (2021). Effect of information sharing in supply chains: understanding the roles of supply chain visibility, agility, collaboration on supply chain performance. Benchmarking: An International Journal, 29 (2), 434-455.
  • Baah, C., Kwasi, I. S. and Ofori, D. (2022). Exploring the influence of supply chain collaboration on supply chain visibility, stakeholder trust, environmental and financial performances: A partial least square approach. Benchmarking: An International Journal, 29(1), 172-193.
  • Banning, M. E. (2016). Shared entanglements – web 2.0, info-liberalism & digital sharing. Information, Communication & Society, 19(4), 489-503.
  • Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120.
  • Barney, J. B. (2012). Purchasing, supply chain management and sustained competitive advantage: The relevance of resource-based theory. Journal of Supply Chain Management, 48(2), 3-6.
  • Barratt, M. (2004). Understanding the meaning of collaboration in the supply chain. Supply Chain Management: An International Journal, 9(1), 30-42.
  • Baumgartner, H. and Homburg, C. (1996). Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing, 13, 139-161.
  • Biswas, S. and Akroyd, C. (2022). Collaborative inter‐organisational relationships and management control change. Accounting and Finance, 62(4), 4569-4586.
  • Bloom, N., Garicano, L., Sadun, R. and van Reenen, J. (2014). The distinct effects of information technology and communication technology on firm organization. Management Science, 60(12), 2859-2885.
  • Boontarig, W., Chutimaskul, W., Chongsuphajaisiddhi, V. and Papasratorn, B. (2012). Factors influencing the Thai elderly intention to use smartphone for e-Health services. IEEE Symposium on Humanties, Science and Engineering Research, 2012, 479-483.
  • Bowersox, D. J. (1990). The strategic benefits of logistics alliances. Harvard Business Review, 68(4), 36-43.
  • Bryman, A. (2006). Integrating quantitative and qualitative research: How is it done? Qualitative Research, 6(1), 97-113.
  • Budidarma, I. G. A. M. (2022). Maintaining the firm’s performance stability of Indonesia’s small to medium enterprises (smes): rbv and csv perspective. East Asian Journal of Multidisciplinary Research, 1(7), 1461-1470.
  • Cai, S., Goh, M., de Souza, R. and Li, G. (2013). Knowledge sharing in collaborative supply chains: Twin effects of trust and power. International Journal of Production Research, 51(7), 2060-2076.
  • Camarinha-Matos, L. M., Rocha, A. D. and Graça, P. (2024). Collaborative approaches in sustainable and resilient manufacturing. Journal of Intelligent Manufacturing, 35, 499–519.
  • Cao, Q. and Niu, X. (2019). Integrating context-awareness and UTAUT to explain Alipay user adoption. International Journal of Industrial Ergonomics, 69, 9-13.
  • Cao, M. and Zhang, Q. (2011). Supply chain collaboration: Impact on collaborative advantage and firm performance. Journal of Operations Management, 29(3), 163-180.
  • Carlini, J., Lehman, K., Dharmesti, M. and Knox, K. (2023). Maximizing value in healthcare partnerships: a case examining an inter‐organizational relationship in the public and non‐profit sectors. Journal of Philanthropy and Marketing, 28(3).
  • Carter, C. R. and Rogers, D. S. (2008). A framework of sustainable supply chain management: Moving toward new theory. International Journal of Physical Distribution and Logistics Management, 38(5), 360-387.
  • Chan, F. T. S., Chong, A. Y. L. and Zhou, L. (2012). An empirical investigation of factors affecting e-collaboration diffusion in SMEs. International Journal of Production Economics, 138, 329-344.
  • Chang, P. Y. (2014). Panel supply chain collaboration using a web-based decision support system to improve product quality and on-time delivery. International Journal of e-Collaboration, 10(2), 40-54.
  • Chao, C. M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10, 1-14.
  • Chauhan, S. and Jaiswal, M. (2016). Determinants of acceptance of ERP software training in business schools: Empirical investigation using UTAUT model. International Journal of Management Education, 14, 248-262.
  • Chen, Q. (2024). Supply chain agility, supplier synergy and information sharing on supplier performance: Basis for supplier relationship management framework. International Journal of Research Studies in Management, 12(1), 21-36.
  • Chen, Y. H., Lin, T. P. and Yen, D. C. (2014). How to facilitate inter-organizational knowledge sharing: The impact of trust. Information & Management, 51, 568-578.
  • Cheng, J. H. (2011). Inter-organizational relationships and information sharing in supply chains. International Journal of Information Management, 31(4), 374–384.
  • Cheng, M. and Edwards, D. (2017). A comparative automated content analysis approach on the review of the sharing economy discourse in tourism and hospitality. Current Issues in Tourism, 22(1), 35-49.
  • Choi, S. and Ko, I. (2012). Leveraging electronic collaboration to promote organisational learning. International Journal of Information Management, 32, 550–559.
  • Chong, A. Y. and Ooi, K. B. (2008). Adoption of interorganizational system standards in supply chains: An empirical analysis of RosettaNet standards. Industrial Management & Data Systems, 108(4), 529-547.
  • Chong, A. Y. L., Ooi, K. B., Lin, B and Tang, S. Y. (2009). Influence of interorganizational relationships on SME’s e-business adoption. Internet Research, 19(3), 313-331.
  • Chu, W. H. J. and Lee, C. C. (2006). Strategic information sharing in a supply chain. European Journal of Operations Research, 174(3), 1567-1579.
  • Cohen, B. and Kietzmann, J. (2014). Ride on! Mobility business models for the sharing economy. Organization & Environment, 27(3), 279-296.
  • Cimperman, M., Brencic, M. M. and Trkman, P. (2016). Analyzing older users’ home telehealth services acceptance behavior—applying an extended UTAUT model. International Journal of Medical Informatics, 90, 22–31.
  • Colicchia, C., Creazza, A., Noe, C. & Strozzi, F. (2018). Information sharing in supply chains: A review of risks and opportunities using the systematic literature network analysis (SLNA). Supply Chain Management: An International Journal, 24(1), 5-21.
  • Connelly, B. L., Crook, T. R., Combs, J. G., Ketchen, D. J., Jr. and Aguinis, H. (2018). Competence-and integrity-based trust in interorganizational relationships: Which matters more? Journal of Management, 44(3), 919-945.
  • Connelly, B. L., Miller, T. and Devers, C. E. (2012). Under a cloud of suspicion: Trust, distrust, and their interactive effect in interorganizational contracting. Strategic Management Journal, 33(7), 820-833.
  • Creswell, J. W. (2015). A concise introduction to mixed methods research. Thousand Oaks, CA: SAGE.
  • Cropper, S., Ebers, M., Huxham, C., and Ring, P. S. (2008). Introducing inter-organizational relations. In S. Cropper, M. Ebers, C. Huxham & P. Ring (Eds.): The Oxford handbook of Inter–organizational Relations (pp. 3–24). Oxford: Oxford University Press.
  • Cuevas, J., Julkunen, S. and Gabrielsson, M. (2015). Power symmetry and the development of trust in interdependent relationships: The mediating role of goal congruence. Industrial Marketing Management, 48, 149-159.
  • Cui, L, Wu, H., Wu, L., Kumar, A. and Tan, K. H. (2023). Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19. Annals of Operations Research, 327, 825–853.
  • Curtis, S. L. and Lehner, M. (2019). Defining the sharing economy for sustainability. Sustainability, 11, 1-25.
  • Çiftçi, S., Gök, R. and Karadağ, E. (2023). Acceptance and use of the distance education systems of Turkish medical educators during covid-19 pandemic: An analysis of contextual factors with the UTAUT2. BMC Medical Education, 23, 36.
  • Dabliz, R., Poon, S. K., Ritchie, A., Burke, R. and Penm, J. (2021). Usability evaluation of an integrated electronic medication management system implemented in an oncology setting using the unified theory of acceptance and use of technology. BMC Medical Informatics and Decision Making, 21, 4.
  • Daunoriene, A., Draksaite, A., Snieska, V. and Valodkiene, G. (2015). Evaluating sustainability of sharing economy business models. Procedia-Social and Behavioral Sciences, 213, 836-841.
  • De Oliveira, G. F. and Rabechini, R. (2019). Stakeholder management influence on trust in a project: A quantitative study. International Journal of Project Management, 37(1), 131-144.
  • Demary, V. (2014). Competition in the sharing economy. IW Policy Paper, 19, 1-27.
  • Dennis, A. R., Minas, R. K. and Bhagwatwar, A. (2013). Sparking creativity: Improving electronic brainstorming with individual cognitive priming. Journal of Management Information Systems, 29(4), 195-215.
  • Doll, W. J., Xia, W. and Torkzadeh, G. (1994). A confirmatory factor analysis of the end-user computing satisfaction instrument. MIS Quarterly, 18(4), 357-369.
  • Eckhardt, G. M., Houston, M. B., Jiang, B., Lamberton, C., Rindfleisch, A. and Zervas, G. (2019). Marketing in the sharing economy. Journal of Marketing, 83(5), 5-27.
  • Engku Hassan Ashari, E. H. M., Engku Ali, E. R. A. and Mat Zin, S. (2023). Behavioral intention on Islamic crowdfunding usage among Malaysian Bumiputera SMEs: Moderating effect of technology readiness. Environment-Behaviour Proceedings Journal, 8(SI14), 167–176.
  • Fawcett, S. E., Fawcett, A. M., Watson, B. J. and Magnan, G. M. (2012a). Peeking inside the black box: Toward an understanding of supply chain collaboration dynamics. Journal of Supply Chain Management, 48(1), 44-72.
  • Fawcett, S. E., Jones, S. L. and Fawcett, A. M. (2012b). Supply chain trust: The catalyst for collaborative innovation. Business Horizons, 55(2), 163-178.
  • Fawcett, S. E., Magnan, G. M. and McCarter, M. W. (2008). Benefits, barriers and bridges to effective supply chain management. Supply Chain Management: An International Journal, 13(1), 35-48.
  • Fawcett, S. E., Wallin, C., Allred, C., Fawcett, A. M. and Magnan, G. M. (2011). Information technology as an enabler of supply chain collaboration: A dynamic-capabilities perspective. Journal of Supply Chain Management, 47(1), 38-59.
  • Fares, N. and Lloret, J. (2023). Barriers to supply chain performance measurement during disruptions such as the covid-19 pandemic. International Journal of Quality & Reliability Management, 40(5), 1316-1342.
  • Ferro-Soto, C., Padín, C., Otero-Neira, C. and Svensson, G. (2024). Modeling partners’ behavior in long-lasting b2b supply chain relationships. Mathematics, 12(3), 399.
  • Frenken, K. and Schor, J. (2017). Putting the sharing economy into perspective. Environmental Innovation and Societal Transitions, 23, 3-10.
  • Gattiker, T. F., Huang, X. and Schwarz, J. L. (2007). Negotiation, email, and internet reverse auctions: How sourcing mechanisms deployed by buyers affect suppliers’ trust. Journal of Operations Management, 25(1), 184-202.
  • Genhua, X. (2023). Enhancing performance in e-agribusiness through the adoption of e-business: a conceptual framework for Beijing, China. Journal of Digitainability, Realism & Mastery (DREAM), 2(05), 72-77.
  • Goffin, K., Lemke, F. and Szwejczewski, M. (2006). An exploratory study of ‘close’ supplier–manufacturer relationships. Journal of Operations Management, 24(2), 189-209.
  • Govindan, K. and Jha, P. (2023). Modelling of barriers in implementing sustainable manufacturer-supplier collaboration and coping strategies. Journal of Cleaner Production, 434, 139635.
  • Guo, B. (2023). The impact of free trade zone construction (ftzs) on food security under the “belt and road” strategy and influencing e-commerce and technological innovation. Journal of Information Systems Engineering and Management, 8(3), 21645.
  • Guo, W. (2023). The impact of blockchain technology on integrated green supply chain management in China: A conceptual study. Journal of Digitainability, Realism & Mastery (DREAM), 2(02), 58-65.
  • Hair, J., Black, W., Babin, B. and Anderson, R. (2010). Multivariate data analysis (7th Ed.). NY: Prentice Hall.
  • Han, W., Huang, Y., Hughes, M. and Zhang, M. (2021). The trade-off between trust and distrust in supply chain collaboration. Industrial Marketing Management, 98, 93-104.
  • Hariram, N. P., Mekha, K. B., Suganthan, V. and Sudhakar, K. (2023). Sustainalism: An integrated socio-economic-environmental model to address sustainable development and sustainability. Sustainability, 15, 10682.
  • Heinrichs, H. (2013). Sharing Economy: A potential new pathway to sustainability. GAIA, 22(4), 228-231.
  • Hoejmose, S., Brammer, S. and Millington, A. (2012). Green supply chain management: The role of trust and top management in B2B and B2C markets. Industrial Marketing Management, 41(4), 609-620.
  • Hoove-Sibanda, P. and Pooe, R. I. D. (2018). Enhancing supply chain performance through supply chain practices. Journal of Transport and Supply Chain Management, 12, 1-13.
  • Hoque, R. and Sorwar, G. (2017). Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. International Journal of Medical Informatics, 101, 75-84.
  • Hoyle, R. H. (1995). The structural equation modeling approach: Basic concepts and fundemantal issues. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 1-15). Thousand Oaks CA: Sage.
  • Högberg, L. and Sköld, B. (2023). Pockets of trust in a landscape of distrust: interorganisational trust and the challenge of conflicting institutional logics. Scandinavian Journal of Public Administration, 27(3), 7-23.
  • Hrouga, M. (2023). Towards a new conceptual digital collaborative supply chain model based on Industry 4.0 technologies: A conceptual framework. International Journal of Quality & Reliability Management 41(2), 628-655.
  • Huang, Y., Han, W. and Macbeth, D. K. (2020). The complexity of collaboration in supply chain networks. Supply Chain Management: An International Journal, 25(3), 393-410.
  • Huo, B., Tian, M., Tian, Y., and Zhang, Q. (2019). The dilemma of inter-organizational relationships. International Journal of Operations & Production Management, 39(1), 2-23.
  • Huong Tran, T. T., Childerhouse, P. and Deakins, E. (2016). Supply chain information sharing: Challenges and risk mitigation strategies. Journal of Manufacturing Technology Management, 27(8), 1102-1126.
  • Jain, G., Kamble, S. S., Ndubisi, N. O., Shrivastava, A., Belhadi, A. and Venkatesh, M. (2022). Antecedents of blockchain enabled e-commerce platforms (BEEP) adoption by customers - A study of second-hand small and medium apparel retailers. Journal of Business Research, 149, 576–588.
  • Jean, R. J. B., Sinkovics, R. R. and Kim, D. (2014). The impact of technological, organizational and environmental characteristics on electronic collaboration and relationship performance in international customer-supplier relationships. Information and Management, 51, 854-864.
  • Jen, C. T., Hu, J., Zheng, J. and Xiao, L. L. (2020). The impacts of corporate governance mechanisms on knowledge sharing and supply chain performance. International Journal of Logistics Research and Applications, 23(4), 337-353.
  • Johnsen, T. E., Lamming R. C. and Harland C. M. (2008). Inter‐organizational relationships, chains, and networks: A supply perspective, in S. Cropper, M. Ebers, C. Huxham and P. Ring (Eds.): The Oxford handbook of Inter–organizational Relations. Oxford: Oxford University Press.
  • Johnson, M. E. and Whang, S. J. (2002). E-business and supply chain management: An overview and framework. Production and Operations Management, 11(4), 413-423.
  • Kamble, S. S.; Gunasekaran, A. and Sharma, R. (2020). Modeling the blockchain enabled traceability in agriculture supply chain. International Journal of Information Management, 52, 101967.
  • Kapnissis, G., Vaggelas, G. K., Leligou, H. C., Panos, A. and Doumi, M. (2022). Blockchain adoption from the Shipping industry: An empirical study. Maritime Transport Research, 3, 100058.
  • Kareem, M. A. and Kummitha, H. V. R. (2020). The impact of supply chain dynamic capabilities on operational performance. Organizacija, 53(4), 319-331.
  • Ke, W., Liu, H., Wei, K. K., Gu, J. and Chen, H. (2009). How do mediated and non-mediated power affect electronic supply chain management system adoption? The mediating effects of trust and institutional pressures. Decision Support Systems, 46(4), 839-851.
  • Khalilzadeh, J., Öztürk, A. B. and Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70, 460-474.
  • Kim, S. and Lee, C. (2024). Study examines role of collaboration-enhancing factors in supply chain. Operations and Supply Chain Management: An International Journal, 17(1), 77-88.
  • Kim, K., Umanath, N. S., Kim, J. Y., Ahrens, F. and Kim, B. (2012). Knowledge complementarity and knowledge exchange in supply channel relationships. International Journal of Information Management, 32(1), 35-49.
  • Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd Ed.). NY: Guilford Publications, Inc.
  • Ko, I., Olfman, L. and Choi, S. (2011). The impacts of electronic collaboration and information exploitation capability on firm performance: Focusing on suppliers using buyer-dominated interorganizational information systems. International Journal of e-Collaboration, 5(2), 1-17.
  • Krczal, E. and Behrens, D. A. (2024). Trust-building in temporary public health partnerships: a qualitative study of the partnership formation process of a covid-19 test, trace and protect service. BMC Health Services Research, 24(1).
  • Kumar, G., Subramanian, N. and Maria Arputham, R. (2018). Missing link between sustainability collaborative strategy and supply chain performance: Role of dynamic capability. International Journal of Production Economics, 203, 96-109.
  • Kumari, S., Jeble, S., Venkatesh, V. G., Nagarajan, C. and Shi, Y. (2023). Antecedents of agriculture supply chain performance during COVID-19: An emerging economy perspective. Operations Management Research, 16, 489-510.
  • Lee, C. and Kim, S. (2023). Impact of information sharing on trust and commitment level in the supply chain: focus on Korea’s three new core industries. Operations and Supply Chain Management: An International Journal, 16(1), 17-25.
  • Li, Z., Yang, C., Yang, Z. and Zhao, Y. (2024). The impact of middle managers’ digital leadership on employee work engagement. Frontiers in Psychology, 15:1368442.
  • Lim, W. M. (2020). The sharing economy: A marketing perspective. Australasian Marketing Journal, 28(3), 4-13.
  • Liu, H., Ke, W., Wei, K. K., Gu, J. and Chen, H. (2010). The role of institutional pressures and organizational culture in the firm’s intention to adopt internet-enabled supply chain management systems. Journal of Operations Management, 28(5), 372-384.
  • Liu, Y., Luo, Y. and Liu, T. (2009). Governing buyer–supplier relationships through transactional and relational mechanisms: Evidence from China. Journal of Operations Management, 27(4), 294-309.
  • Lu, W. and Al-Hakim, L. (2016). The interaction between collaboration, organisational capacity and e-business diffusion and their effect on business performance: Case study on Wenzhou electrical industry. Journal of Electronic Commerce in Organizations, 14(3), 35-56.
  • Lumineau, F. (2017). How contracts influence trust and distrust. Journal of Management, 43(5), 1553-1577.
  • Lusch, R. F. and Nambisan, S. (2015). Service innovation: A service-dominant logic perspective. MIS Quarterly, 39(1), 155-175.
  • Lyu, T., Lyu, X., Chen, H. and Zhao, Q. (2023). Breaking away from servitization paradox to improve manufacturing enterprises’ service innovation performance: The roles of market orientation and service supply chain dynamic capability. Journal of Organizational Change Management, 36(6), 848-874.
  • Markoulis, S. and Neofytou, N. (2016). An empirical analysis of the relationship between oil prices and stock markets. International Journal of Economics and Finance, 8(12), 120-131.
  • Maxwell, J. A. (2013). Qualitative research design: An interactive approach (3rd Ed.). Los Angeles, USA: Sage.
  • McDonald, R. P. and Ho, M. H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7(1), 64-82.
  • Mishra, D., Gunasekaran, A., Papadopoulos, T. and Dubey, R. (2018). Supply chain performance measures and metrics: A bibliometric study. Benchmarking: An International Journal, 25(3), 932-967.
  • Mohaved, A. B., Aliahmadi, A., Parsanejad, M. and Nozari, H. (2023). A systematic review of collaboration in supply chain 4.0 with meta-synthesis method. Supply Chain Analytics, 4, 100052.
  • Moldoveanu, M. C. and Baum, J. A. C. (2011). I think you think I think you’re lying’: The interactive epistemology of trust in social networks. Management Science, 57(2), 393-412.
  • Morgan, R., Doran, D., and Morgan, S. (2018). Strong contracts: the relationship between power and action. International Journal of Operations & Production Management, 38(1), 272-294.
  • Mora-Monge, C., Quesada, G., Gonzalez, M. E. and Davis, J. M. (2019). Trust, power and supply chain integration in Web-enabled supply chains. Supply Chain Management: An International Journal, 24(4), 524-539.
  • Mukhtar, M. A., Nasreen, F. and Khalid, W. (2023). Dynamic capabilities and firm performance: Moderating effect of environmental dynamism. Bulletin of Business and Economics (BBE), 12(4), 597-601.
  • Muthusamy, S. K. and White, M. A. (2005). Learning and knowledge transfer in strategic alliances: A social exchange view. Organization Studies, 26(3), 415-441.
  • Narayanan, S., Jayaraman, V., Luo, Y. and Swaminathan, J. M. (2011). The antecedents of process integration in business process outsourcing and its effect on firm performance. Journal of Operations Management, 29(1), 3-16.
  • Neuman, W. L. (2020). Toplumsal araştırma yöntemleri: Nicel ve nitel yaklaşımlar (8th Ed. Translated by Akkaya, Ö.). Istanbul: Yayın Odası.
  • Nezami, M. R., Bruijne, M. d., Hertogh, M. and Bakker, H. (2023). Inter-organizational collaboration in interconnected infrastructure projects. Sustainability, 15(8), 6721.
  • Oliveira, T., Faria, M., Thomas, M. A. and Popovic, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34(5), 689-703.
  • Oliver, C. (1990). Determinants of interorganizational relationships: Integration and future directions. Academy of Management Review, 15, 245-265.
  • Olorunniwo, F. O. and Li, X. (2010). Information sharing and collaboration practices in reverse logistics. Supply Chain Management: An International Journal, 15(6), 454-462.
  • Ou, C. X., Pavlou, P. A. and Davison, R. M. (2014). Swift guanxi in online marketplaces: The role of computer-mediated communication technologies. MIS Quarterly, 38(1), 209-224.
  • Öberg, C. (2024). Sharing economy models and sustainability: Towards a typology, Journal of Cleaner Production, 447, 141636.
  • Panahifar, F., Byrne, P. J. and Heavey, C. (2015). A hybrid approach to the study of CPFR implementation enablers. Production Planning & Control, 26(13), 1-20.
  • Panahifar, F., Byrne, P. J., Salam, M. A. and Heavey, C. (2018). Supply chain collaboration and firm’s performance: The critical role of information sharing and trust. Journal of Enterprise Information Management, 31(3), 358-379.
  • Panteli, N. and Sockalingam, S. (2005). Trust and conflict within virtual inter-organizational alliances: A framework for facilitating knowledge sharing. Decision Support Systems, 39(4), 599-617.
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y. and Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.
  • Pu, R. and Pathranarakul, P. (2019). Sharing economy as innovative paradigm towards sustainable development: A conceptual review. Journal of Reviews on Global Economics, 8, 387-398.
  • Prajogo, D. and Olhager, J. (2012). Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration. International Journal of Production Economics, 135(1), 514-522.
  • Pramatari, K. (2007). Collaborative supply chain practices and evolving technological approaches. Supply Chain Management: An International Journal, 12(3), 210-220.
  • Qian, C., Seuring, S., Wagner, R. and Dion, P. A. (2020). Personal and organizational level relationships in relational exchanges in supply chains – a bottom-up model. Supply Chain Management, 26(1), 32-47.
  • Qian, X. A. and Papadonikolaki, E. (2021). Shifting trust in construction supply chains through blockchain technology. Engineering, Construction and Architectural Management, 28(2), 584-602.
  • Queiroz, M. M. and Wamba, S. F. (2019). Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA. International Journal of Information Management, 46, 70-82.
  • Reynolds, S. (2024). Investigating the influence of power dynamics on supply chain decision-making processes. Preprints, 2024060561. https://doi.org/10.20944/preprints202406.0561.v1
  • Richey, R. G., Adams, F. G. and Dalela, V. (2012). Technology and flexibility: Enablers of collaboration and time-based logistics quality. Journal of Business Logistics, 33(1), 34-49.
  • Richey, R. G., Tokman, M. and Dalela, V. (2010). Examining collaborative supply chain service technologies: A study of intensity, relationship, and resources. Journal of the Academy of Marketing Science, 38, 71-89.
  • Rigdon, E. E. (1996). CFI versus RMSEA: A comparison of two fit indexes for structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 3(4), 369-379.
  • Rosenzweig, E. D. (2009). A contingent view of e-collaboration and performance in manufacturing. Journal of Operations Management, 27, 462-478.
  • Rossmannek, O. and Chen, M. (2023). Why people use the sharing economy: A meta-analysis. Journal of Cleaner Production, 387(2023), 135824.
  • Rust, R. T. and Espinoza, F. (2006). How technology advances influence business research and marketing strategy. Journal of Business Research, 59(10-11), 1072-1078.
  • Sabi, H. M., Uzoka, F. E., Langmia, K. and Njeh, F. N. (2016). Conceptualizing a model for adoption of cloud computing in education. International Journal of Information Management, 36, 183-191.
  • Scaraboto, D. (2015). Selling, sharing, and everything in between: The hybrid economies of collaborative networks. Journal of Consumer Research, 42(1), 152-176.
  • Schermelleh-Engel, K., Moosbrugger, H. and Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23-74.
  • Schor, J. (2021). After the gig: How the sharing economy got hijacked and how to win it back. California: University of California Press.
  • Schor, J. and Attwood-Charles, W. (2017). The “sharing” economy: Labor, inequality, and social connection on for-profit platforms. Sociology Compass, 11(8), 1-16.
  • Schor, J. B., Walker, E. T., Lee, C. W., Parigi, P. and Cook, K. (2015). On the sharing economy. Contexts, 14, 12-19.
  • Shahadat, M. M. H., Chowdhury, A. H. M. Y., Nathan, R. J. and Fekete-Farkas, M. (2023). Digital technologies for firms’ competitive advantage and improved supply chain performance. Journal of Risk and Financial Management, 16(2), 94.
  • Shaikh, I. M. and Amin, H. (2023). Consumers’ innovativeness and acceptance towards use of financial technology in Pakistan: Extension of the UTAUT model. Information Discovery and Delivery, 52(1), 114-122.
  • Sheu, C., Yen, H. R. and Chae, D. (2006). Determinants of supplier-retailer collaboration: Evidence from an international study. International Journal of Operations and Production Management, 26(1), 24-49.
  • Sheyadi, A. A. and Shaukat, M. R. (2023). Examining the direct and indirect impacts of e-supply chain implementation on performance: A collaborative approach. International Journal of Supply Chain Management, 12(6), 15-25.
  • Shih, S. C., Hsu, S. H. Y., Zhu, Z. and Balasubramanian, S. K. (2012). Knowledge sharing – a key role in the downstream supply chain. Information & Management, 49(2), 70-80.
  • Shmidt, M. (2023). Sharing economy as a field: Revisiting debates and introducing new research avenues. Sociology Compass, 17(10), e13120.
  • Simatupang, M. T. and Sridharan, R. (2005). The collaboration index: A measure for supply chain collaboration. International Journal of Physical Distribution & Logistics Management, 35(1), 44-62.
  • Singh, H., Garg, R. and Sachdeva, A. (2018). Supply chain collaboration: A state-of-the-art literature review. Uncertain Supply Chain Management, 6(2), 149-180.
  • Skinner, D., Dietz, G., and Weibel, A. (2014). The dark side of trust: When trust becomes a ‘poisoned chalice’. Organization, 21(2), 206-224.
  • Skippari, M., Laukkanen, M. and Salo, J. (2017). Cognitive barriers to collaborative innovation generation in supply chain relationships. Industrial Marketing Management, 62, 108-117.
  • Skipworth, H., Godsell, J., Wong, C. Y., Saghiri, S. and Julien, D. (2015). Supply chain alignment for improved business performance: An empirical study. Supply Chain Management: An International Journal, 20(5), 511-533.
  • Soosay, C. A. and Hyland, P. (2015). A decade of supply chain collaboration and directions for future research. Supply Chain Management: An International Journal, 20(6), 613-630.
  • Submitter, C., Kidd, M. P. and Borm, P. (2021). On determining leading coalitions in supply chains: Methodology and application. SSRN Electronic Journal, CentER Discussion Paper Series No. 2021-009.
  • Sugito, E. and Kusrini, E. (2023). Enhancing company productivity through information sharing in supply chain implementation. Jurnal Teknik Industri, 24(2), 109-126.
  • Sumak, B. and Sorgo, A. (2016). The acceptance and use of interactive whiteboards among teachers: Differences in UTAUT determinants between pre and post-adopters. Computers in Human Behavior, 64, 602-620.
  • Sun, Y., Wang, N., Guo, X. and Peng, Z. (2013). Understanding the acceptance of mobile health services: A comparison and integration of alternative models. Journal of Electronic Commerce Research, 14(2), 183-200.
  • Susanto, E., Othman, N., Tjaja, A. I. S., Rahayu, S. T., Gunawan, S. and Saptari, A. (2023). The impact of collaborative networks on supply chain performance: A case study of fresh vegetable commodities in Indonesia. AGRARIS: Journal of Agribusiness and Rural Development Research, 9(1), 79-99.
  • Tabachnick, B. G. and Fidell, L. S. (2012). Using multivariate statistics (6th Ed.). Upper Sadle River: Pearson.
  • Tahir, M. M. (2023). Students’ behavioural intention towards adoption of online education: a study of the extended utaut model. Journal of Learning for Development, 10(3), 392-410.
  • Teddlie, C. and Yu, F. (2007). Mixed methods sampling: A typology with examples. Journal of Mixed Methods Research, 1(1), 77-100.
  • Teece, D. (2012). Dynamic capabilities: Routines versus entrepreneurial action. Journal of Management Studies, 49(8), 1395-1401.
  • Tham, W. K., Lim, W .M. and Vieceli, J. (2023). Foundations of consumption and production in the sharing economy. Electronic Commerce Research, 23, 2979–3002.
  • Thomassen, A. O. (2024). University–industry collaborations as processual inter-organizational learning: Implications of the third context. Journal of Workplace Learning, 36(6), 399-416.
  • Tukamuhabwa, B., Mutebi, H., and Isabirye, D. (2021). Supplier performance in the public healthcare: Internal social capital, logistics capabilities and supply chain risk management capabilities as antecedents in a developing economy. Journal of Business and Socio-Economic Development, 3(1), 50-68.
  • Turkish Exporters Assembly (TIM) (2019). İhracatta ilk 1000 firma 2019. https://www.tim.org.tr/tr/raporlar-ilk-1000-ihracatci-arastirmasi-dosyalar-2019.
  • Turyadi, I., Zulkifli, Tawil, M. R., Ali, H. and Sadikin, A. (2023). The role of digital leadership in organizations to improve employee performance and business success. Jurnal Ekonomi, 12(2), 1671-1677.
  • Trebilcock, B. (2015). How they did it: supplier relationship at raytheon management. Supply Chain Management Review, 19(2), 18-23.
  • Tsanos, C. S. and Zografos, K. G. (2016). The effects of behavioural supply chain relationship antecedents on integration and performance. Supply Chain Management: An International Journal, 21(6), 678-693.
  • Um, K. (2023). The effect of npd complexity on npd performance via inter-organizational collaboration and conflict. Journal of Manufacturing Technology Management, 34(8), 1527-1548.
  • Vachon, S. and Klassen, R. D. (2006). Extending green practices across the supply chain: The impact of upstream and downstream integration. International Journal of Operations and Production Management, 26(7), 795-821.
  • van Oijen, J. C. F., van Dongen-Leunis, A., Postma, J., van Leeuwen, T. and Bal, R. (2024). Achieving research impact in medical research through collaboration across organizational boundaries: Insights from a mixed methods study in the Netherlands. Health Research Policy and Systems, 22(1).
  • VanDerSchaaf, H. P., Daim, T. U. and Basoglu, N. A. (2023). Factors influencing student information technology adoption. IEEE Transactions on Engineering Management, 70(2), 632-643.
  • Venkatesh, V., Morris, M. G., Davis, G. B. and Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
  • Venkatesh, V., Thong, J. Y. L. and Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
  • Venkatesh, V., Thong, J. Y. L. and Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328-376.
  • Villena, V. H., Choi, T. Y. and Revilla, E. (2016). Revisiting interorganizational trust: Is more always better or could more be worse? Journal of Management, 45(2), 752-785.
  • Wang, J. and Schweizer, L. (2023). Chinese cross‐border mergers and acquisitions: how communication practices impact integration outcomes. Thunderbird International Business Review, 66(1), 81-99.
  • Wang, Y., Hu, S., Lee, H. W., Tang, W., Shen, W. and Qiang, M. (2023). To achieve goal alignment by inter-organizational incentives: A case study of a hydropower project. Buildings, 13(9), 2258.
  • Wang, Y., Singgih, M., Wang, J. and Rit, M. (2019). Making sense of blockchain technology: How will it transform supply chains? International Journal of Production Economics, 211, 221-236.
  • Wei, G. (2023). The impact of blockchain technology on integrated green supply chain management in China: A conceptual study. Journal of Digitainability, Realism & Mastery (DREAM), 2(02), 58–65.
  • Wu, F., Yeniyurt, S., Kim, D. and Çavuşgil, S. T. (2006). The impact of information technology on supply chain capabilities and firm performance - a resource-based view. Industrial and Marketing Mangement, 35(4), 493-504.
  • Wu, S. and Ku, E. C. (2024). Aligning restaurants and artificial intelligence computing of food delivery service with product development. Journal of Hospitality and Tourism Technology, 15(3), 379-396.
  • Wuni, I. Y. and Shen, G. Q. (2023). Exploring the critical success determinants for supply chain management in modular integrated construction projects. Smart and Sustainable Built Environment, 12(2), 258-276.
  • Yang, C.-C., Li, C.-L., Yeh, T.-F. and Chang, Y.-C (2022). Assessing older adults’ intentions to use a smartphone: Using the meta–unified theory of the acceptance and use of technology. International Journal of Environmental Research and Public Health, 19, 5403.
  • Yang, J. (2014). Supply chain agility: Securing performance for Chinese manufacturers. International Journal of Production Economics, 15, 104-113.
  • Yang, R. J., Wakefield, R., Yi, X., Lyu, S., Yang, X., Zhang, J. and Zhang, I. (2019). Enhancing stakeholders’ trust in megaproject supply chain through blockchain: An exploratory study. Trust in Major and Mega Projects, otmc-conference.com.
  • Yeung, J. H. Y., Selen, W., Zhang, M. and Huo, B. (2009). The effects of trust and coercive power on supplier integration. International Journal of Production Economics, 120(1), 66-78.
  • Yi, H., Oh, D. and Amenuvor, F. E. (2023). The effect of smes’ dynamic capability on operational capabilities and organisational agility. South African Journal of Business Management, 54(1).
  • Yu, P. (2018). Interfirm coopetition, trust, and opportunism: A mediated moderation model. Review of Managerial Science, 13(5), 1069-1092.
  • Yuen, K. F. and Thai, V. (2017). Barriers to supply chain integration in the Maritime logistics industry. Maritime Economics & Logistics, 19(3), 551-572.
  • Zaman, S. I., Khan, S. A. and Kusi‐Sarpong, S. (2023). Investigating the relationship between supply chain finance and supply chain collaborative factors. Benchmarking: An International Journal, 31(6), 1941-1975.
  • Zeiringer, J. P. and Thalmann, S. (2021). Knowledge sharing and protection in data-centric collaborations: An exploratory stduy. Knowledge Management Research & Practice, 20(3), 436-448.
  • Zeng, X. and Yi, J. (2023). The supply chain information sharing path based on the internet of things. Internet Technology Letters, 7(4).
  • Zhang, P. and Tur, G. (2023). Collaborative e-portfolios use in higher education during the covid-19 pandemic: A co-design strategy. International Journal of Educational Methodology, 9(3), 585-601.
  • Zhang, Q., Khan, S., Khan, S. U. and Khan, I. U. (2023). Understanding blockchain technology adoption in operation and supply chain management of Pakistan: Extending UTAUT model with technology readiness, technology affinity and trust. SAGE Open, 13, 4.
  • Zhang, X., He, X., Du, X., Zhang, A. and Dong, Y. (2023). Supply chain practices, dynamic capabilities, and performance. Journal of Organizational and End User Computing, 35(3), 1-26.
  • Zhang, Y., Weng, Q. and Zhu, N. (2018). The relationships between electronic banking adoption and its antecedents: A meta-analytic study of the role of national culture. International Journal of Information Management, 40, 76-87.
  • Zhou, H. and Benton, W. C. (2007). Supply chain practice and information sharing. Journal of Operations Management, 25(6), 1348-1365.

COLLABORATIVE SUPPLY CHAIN MANAGEMENT IN THE SHARING ECONOMY: AN EMPIRICAL RESEARCH

Year 2024, Volume: 24 Issue: 4, 687 - 714, 01.11.2024
https://doi.org/10.21121/eab.20240414

Abstract

This study examines the impact of the sharing economy on collaborative supply chain management among Turkish international trade firms. The sharing economy, which involves temporary access to underutilized resources via digital platforms, has challenged traditional supply chain models, necessitating resilient and flexible collaborations. The research utilizes the Inter-organizational Relationships (IOR), Unified Theory of Acceptance and Use of Technology (UTAUT), and Resource-Based View (RBV) frameworks, highlighting dynamic capabilities. Through structural equation modeling and expert interviews, the findings reveal that trust and information sharing are essential, but their effects on e-collaboration are complex. Trust negatively correlates with e-collaboration, indicating that electronic platforms may mediate trust in low-trust environments. On the other hand, performance expectancy and facilitating conditions significantly boost e-collaboration adoption. The study identifies e-collaboration as a dynamic capability, improving operational performance, customer/supplier satisfaction, growth, and profitability. This research contributes theoretically by integrating organizational and individual perspectives on e-collaboration and elucidates the intricate relationships between trust, information sharing, and technology in supply chains. Practical recommendations are provided for leveraging technological innovations to enhance trust and information sharing in collaborative supply chains.

References

  • Acquah, I. S. K. (2023). Modelling the importance of collaborative culture and its dimensions for supply chain collaboration: A necessary condition analysis. RAUSP Management Journal, 58(2), 125-142.
  • Adomako, S. and Nguyen, N. P. (2023). Digitalization, inter-organizational collaboration, and technology transfer. The Journal of Technology Transfer, 49(4), 1176-1202.
  • Aguinis, H., Gottfredson, R. K. and Joo, H. (2013). Best-practice recommendations for defining, identifying, and handling outliers. Organizational Research Methods, 16(2), 270-301.
  • Ahmad, S. Z. and Khalid, K. (2017). The adoption of M-government services from the user’s perspectives: Empirical evidence from the United Arab Emirates. International Journal of Information Management, 37(5), 367-379.
  • Al-khateeb, B. A. A. (2024). E-collaboration and academic performance of lecturers. International Journal of E-Collaboration, 20(1), 1-15.
  • Al-Khatib, A. W. and Valeri, M. (2022). Can intellectual capital promote the competitive advantage? service innovation and big data analytics capabilities in a moderated mediation model. European Journal of Innovation Management, 27(3), 263-289.
  • Al-Omoush, K. S., de Lucas, A. and del Val, M. T. (2023). The role of e-supply chain collaboration in collaborative innovation and value-co creation. Journal of Business Research, 158, 113647.
  • Alsaad, A., Mohamad, R. and Ismail, N.A. (2014). The moderating role of power exercise in B2B e-commerce adoption decision. Procedia –Social and Behavioral Sciences, 130, 515-523.
  • Alsaad, A., Mohamad, R., Taamneh, A. and Ismail, N.A. (2018). What drives global B2B e-commerce usage: an analysis of the effect of the complexity of trading system and competition pressure. Technology Analysis & Strategic Management, 30(8), 980-992.
  • Adaku, A. A. and Amanor‐Boadu, V. (2022). Typology and performance of inter-organizational relationships among ghanaian farmers. International Food and Agribusiness Management Review, 25(3), 379-392.
  • Ammeter, A., Douglas, C., Ferris, G. and Goka, H. (2004). A social relationship conceptualization of trust and accountability in organisations. Human Resource Management Review, 14(1), 47-65.
  • Ardakani, D. A., Soltanmohammadi, A. and Seuring, S. (2023). The impact of customer and supplier collaboration on green supply chain performance. Benchmarking: An International Journal, 30(7), 2248-2274.
  • Ardyan, E., Nurtantiono, A., Istiyanto, B. and Retnawati, B. B. (2018). The importance role e-collaboration capability and information system maturity on knowledge sharing and SMEs marketing performance. International Journal of e-Collaboration, 14(1), 43-65.
  • Asif, M., Sarim, M., Khan, W., & Khan, S. (2023). Ism- and micmac-based modelling of dairy supply chain: a study of enablers in indian economy perspective. British Food Journal, 126(2), 578-594.
  • Avcı, S. (2022). Examining the factors affecting teachers’ use of digital learning resources with utaut2. Malaysian Online Journal of Educational Technology, 10(3), 200-214.
  • Baah, C., Agyeman, D. O., Acquah, I. S. K., Agyabeng-Mensah, Y., Afum, E., Issau, K., Ofori, D. and Faibil, D. (2021). Effect of information sharing in supply chains: understanding the roles of supply chain visibility, agility, collaboration on supply chain performance. Benchmarking: An International Journal, 29 (2), 434-455.
  • Baah, C., Kwasi, I. S. and Ofori, D. (2022). Exploring the influence of supply chain collaboration on supply chain visibility, stakeholder trust, environmental and financial performances: A partial least square approach. Benchmarking: An International Journal, 29(1), 172-193.
  • Banning, M. E. (2016). Shared entanglements – web 2.0, info-liberalism & digital sharing. Information, Communication & Society, 19(4), 489-503.
  • Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120.
  • Barney, J. B. (2012). Purchasing, supply chain management and sustained competitive advantage: The relevance of resource-based theory. Journal of Supply Chain Management, 48(2), 3-6.
  • Barratt, M. (2004). Understanding the meaning of collaboration in the supply chain. Supply Chain Management: An International Journal, 9(1), 30-42.
  • Baumgartner, H. and Homburg, C. (1996). Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing, 13, 139-161.
  • Biswas, S. and Akroyd, C. (2022). Collaborative inter‐organisational relationships and management control change. Accounting and Finance, 62(4), 4569-4586.
  • Bloom, N., Garicano, L., Sadun, R. and van Reenen, J. (2014). The distinct effects of information technology and communication technology on firm organization. Management Science, 60(12), 2859-2885.
  • Boontarig, W., Chutimaskul, W., Chongsuphajaisiddhi, V. and Papasratorn, B. (2012). Factors influencing the Thai elderly intention to use smartphone for e-Health services. IEEE Symposium on Humanties, Science and Engineering Research, 2012, 479-483.
  • Bowersox, D. J. (1990). The strategic benefits of logistics alliances. Harvard Business Review, 68(4), 36-43.
  • Bryman, A. (2006). Integrating quantitative and qualitative research: How is it done? Qualitative Research, 6(1), 97-113.
  • Budidarma, I. G. A. M. (2022). Maintaining the firm’s performance stability of Indonesia’s small to medium enterprises (smes): rbv and csv perspective. East Asian Journal of Multidisciplinary Research, 1(7), 1461-1470.
  • Cai, S., Goh, M., de Souza, R. and Li, G. (2013). Knowledge sharing in collaborative supply chains: Twin effects of trust and power. International Journal of Production Research, 51(7), 2060-2076.
  • Camarinha-Matos, L. M., Rocha, A. D. and Graça, P. (2024). Collaborative approaches in sustainable and resilient manufacturing. Journal of Intelligent Manufacturing, 35, 499–519.
  • Cao, Q. and Niu, X. (2019). Integrating context-awareness and UTAUT to explain Alipay user adoption. International Journal of Industrial Ergonomics, 69, 9-13.
  • Cao, M. and Zhang, Q. (2011). Supply chain collaboration: Impact on collaborative advantage and firm performance. Journal of Operations Management, 29(3), 163-180.
  • Carlini, J., Lehman, K., Dharmesti, M. and Knox, K. (2023). Maximizing value in healthcare partnerships: a case examining an inter‐organizational relationship in the public and non‐profit sectors. Journal of Philanthropy and Marketing, 28(3).
  • Carter, C. R. and Rogers, D. S. (2008). A framework of sustainable supply chain management: Moving toward new theory. International Journal of Physical Distribution and Logistics Management, 38(5), 360-387.
  • Chan, F. T. S., Chong, A. Y. L. and Zhou, L. (2012). An empirical investigation of factors affecting e-collaboration diffusion in SMEs. International Journal of Production Economics, 138, 329-344.
  • Chang, P. Y. (2014). Panel supply chain collaboration using a web-based decision support system to improve product quality and on-time delivery. International Journal of e-Collaboration, 10(2), 40-54.
  • Chao, C. M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10, 1-14.
  • Chauhan, S. and Jaiswal, M. (2016). Determinants of acceptance of ERP software training in business schools: Empirical investigation using UTAUT model. International Journal of Management Education, 14, 248-262.
  • Chen, Q. (2024). Supply chain agility, supplier synergy and information sharing on supplier performance: Basis for supplier relationship management framework. International Journal of Research Studies in Management, 12(1), 21-36.
  • Chen, Y. H., Lin, T. P. and Yen, D. C. (2014). How to facilitate inter-organizational knowledge sharing: The impact of trust. Information & Management, 51, 568-578.
  • Cheng, J. H. (2011). Inter-organizational relationships and information sharing in supply chains. International Journal of Information Management, 31(4), 374–384.
  • Cheng, M. and Edwards, D. (2017). A comparative automated content analysis approach on the review of the sharing economy discourse in tourism and hospitality. Current Issues in Tourism, 22(1), 35-49.
  • Choi, S. and Ko, I. (2012). Leveraging electronic collaboration to promote organisational learning. International Journal of Information Management, 32, 550–559.
  • Chong, A. Y. and Ooi, K. B. (2008). Adoption of interorganizational system standards in supply chains: An empirical analysis of RosettaNet standards. Industrial Management & Data Systems, 108(4), 529-547.
  • Chong, A. Y. L., Ooi, K. B., Lin, B and Tang, S. Y. (2009). Influence of interorganizational relationships on SME’s e-business adoption. Internet Research, 19(3), 313-331.
  • Chu, W. H. J. and Lee, C. C. (2006). Strategic information sharing in a supply chain. European Journal of Operations Research, 174(3), 1567-1579.
  • Cohen, B. and Kietzmann, J. (2014). Ride on! Mobility business models for the sharing economy. Organization & Environment, 27(3), 279-296.
  • Cimperman, M., Brencic, M. M. and Trkman, P. (2016). Analyzing older users’ home telehealth services acceptance behavior—applying an extended UTAUT model. International Journal of Medical Informatics, 90, 22–31.
  • Colicchia, C., Creazza, A., Noe, C. & Strozzi, F. (2018). Information sharing in supply chains: A review of risks and opportunities using the systematic literature network analysis (SLNA). Supply Chain Management: An International Journal, 24(1), 5-21.
  • Connelly, B. L., Crook, T. R., Combs, J. G., Ketchen, D. J., Jr. and Aguinis, H. (2018). Competence-and integrity-based trust in interorganizational relationships: Which matters more? Journal of Management, 44(3), 919-945.
  • Connelly, B. L., Miller, T. and Devers, C. E. (2012). Under a cloud of suspicion: Trust, distrust, and their interactive effect in interorganizational contracting. Strategic Management Journal, 33(7), 820-833.
  • Creswell, J. W. (2015). A concise introduction to mixed methods research. Thousand Oaks, CA: SAGE.
  • Cropper, S., Ebers, M., Huxham, C., and Ring, P. S. (2008). Introducing inter-organizational relations. In S. Cropper, M. Ebers, C. Huxham & P. Ring (Eds.): The Oxford handbook of Inter–organizational Relations (pp. 3–24). Oxford: Oxford University Press.
  • Cuevas, J., Julkunen, S. and Gabrielsson, M. (2015). Power symmetry and the development of trust in interdependent relationships: The mediating role of goal congruence. Industrial Marketing Management, 48, 149-159.
  • Cui, L, Wu, H., Wu, L., Kumar, A. and Tan, K. H. (2023). Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19. Annals of Operations Research, 327, 825–853.
  • Curtis, S. L. and Lehner, M. (2019). Defining the sharing economy for sustainability. Sustainability, 11, 1-25.
  • Çiftçi, S., Gök, R. and Karadağ, E. (2023). Acceptance and use of the distance education systems of Turkish medical educators during covid-19 pandemic: An analysis of contextual factors with the UTAUT2. BMC Medical Education, 23, 36.
  • Dabliz, R., Poon, S. K., Ritchie, A., Burke, R. and Penm, J. (2021). Usability evaluation of an integrated electronic medication management system implemented in an oncology setting using the unified theory of acceptance and use of technology. BMC Medical Informatics and Decision Making, 21, 4.
  • Daunoriene, A., Draksaite, A., Snieska, V. and Valodkiene, G. (2015). Evaluating sustainability of sharing economy business models. Procedia-Social and Behavioral Sciences, 213, 836-841.
  • De Oliveira, G. F. and Rabechini, R. (2019). Stakeholder management influence on trust in a project: A quantitative study. International Journal of Project Management, 37(1), 131-144.
  • Demary, V. (2014). Competition in the sharing economy. IW Policy Paper, 19, 1-27.
  • Dennis, A. R., Minas, R. K. and Bhagwatwar, A. (2013). Sparking creativity: Improving electronic brainstorming with individual cognitive priming. Journal of Management Information Systems, 29(4), 195-215.
  • Doll, W. J., Xia, W. and Torkzadeh, G. (1994). A confirmatory factor analysis of the end-user computing satisfaction instrument. MIS Quarterly, 18(4), 357-369.
  • Eckhardt, G. M., Houston, M. B., Jiang, B., Lamberton, C., Rindfleisch, A. and Zervas, G. (2019). Marketing in the sharing economy. Journal of Marketing, 83(5), 5-27.
  • Engku Hassan Ashari, E. H. M., Engku Ali, E. R. A. and Mat Zin, S. (2023). Behavioral intention on Islamic crowdfunding usage among Malaysian Bumiputera SMEs: Moderating effect of technology readiness. Environment-Behaviour Proceedings Journal, 8(SI14), 167–176.
  • Fawcett, S. E., Fawcett, A. M., Watson, B. J. and Magnan, G. M. (2012a). Peeking inside the black box: Toward an understanding of supply chain collaboration dynamics. Journal of Supply Chain Management, 48(1), 44-72.
  • Fawcett, S. E., Jones, S. L. and Fawcett, A. M. (2012b). Supply chain trust: The catalyst for collaborative innovation. Business Horizons, 55(2), 163-178.
  • Fawcett, S. E., Magnan, G. M. and McCarter, M. W. (2008). Benefits, barriers and bridges to effective supply chain management. Supply Chain Management: An International Journal, 13(1), 35-48.
  • Fawcett, S. E., Wallin, C., Allred, C., Fawcett, A. M. and Magnan, G. M. (2011). Information technology as an enabler of supply chain collaboration: A dynamic-capabilities perspective. Journal of Supply Chain Management, 47(1), 38-59.
  • Fares, N. and Lloret, J. (2023). Barriers to supply chain performance measurement during disruptions such as the covid-19 pandemic. International Journal of Quality & Reliability Management, 40(5), 1316-1342.
  • Ferro-Soto, C., Padín, C., Otero-Neira, C. and Svensson, G. (2024). Modeling partners’ behavior in long-lasting b2b supply chain relationships. Mathematics, 12(3), 399.
  • Frenken, K. and Schor, J. (2017). Putting the sharing economy into perspective. Environmental Innovation and Societal Transitions, 23, 3-10.
  • Gattiker, T. F., Huang, X. and Schwarz, J. L. (2007). Negotiation, email, and internet reverse auctions: How sourcing mechanisms deployed by buyers affect suppliers’ trust. Journal of Operations Management, 25(1), 184-202.
  • Genhua, X. (2023). Enhancing performance in e-agribusiness through the adoption of e-business: a conceptual framework for Beijing, China. Journal of Digitainability, Realism & Mastery (DREAM), 2(05), 72-77.
  • Goffin, K., Lemke, F. and Szwejczewski, M. (2006). An exploratory study of ‘close’ supplier–manufacturer relationships. Journal of Operations Management, 24(2), 189-209.
  • Govindan, K. and Jha, P. (2023). Modelling of barriers in implementing sustainable manufacturer-supplier collaboration and coping strategies. Journal of Cleaner Production, 434, 139635.
  • Guo, B. (2023). The impact of free trade zone construction (ftzs) on food security under the “belt and road” strategy and influencing e-commerce and technological innovation. Journal of Information Systems Engineering and Management, 8(3), 21645.
  • Guo, W. (2023). The impact of blockchain technology on integrated green supply chain management in China: A conceptual study. Journal of Digitainability, Realism & Mastery (DREAM), 2(02), 58-65.
  • Hair, J., Black, W., Babin, B. and Anderson, R. (2010). Multivariate data analysis (7th Ed.). NY: Prentice Hall.
  • Han, W., Huang, Y., Hughes, M. and Zhang, M. (2021). The trade-off between trust and distrust in supply chain collaboration. Industrial Marketing Management, 98, 93-104.
  • Hariram, N. P., Mekha, K. B., Suganthan, V. and Sudhakar, K. (2023). Sustainalism: An integrated socio-economic-environmental model to address sustainable development and sustainability. Sustainability, 15, 10682.
  • Heinrichs, H. (2013). Sharing Economy: A potential new pathway to sustainability. GAIA, 22(4), 228-231.
  • Hoejmose, S., Brammer, S. and Millington, A. (2012). Green supply chain management: The role of trust and top management in B2B and B2C markets. Industrial Marketing Management, 41(4), 609-620.
  • Hoove-Sibanda, P. and Pooe, R. I. D. (2018). Enhancing supply chain performance through supply chain practices. Journal of Transport and Supply Chain Management, 12, 1-13.
  • Hoque, R. and Sorwar, G. (2017). Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. International Journal of Medical Informatics, 101, 75-84.
  • Hoyle, R. H. (1995). The structural equation modeling approach: Basic concepts and fundemantal issues. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 1-15). Thousand Oaks CA: Sage.
  • Högberg, L. and Sköld, B. (2023). Pockets of trust in a landscape of distrust: interorganisational trust and the challenge of conflicting institutional logics. Scandinavian Journal of Public Administration, 27(3), 7-23.
  • Hrouga, M. (2023). Towards a new conceptual digital collaborative supply chain model based on Industry 4.0 technologies: A conceptual framework. International Journal of Quality & Reliability Management 41(2), 628-655.
  • Huang, Y., Han, W. and Macbeth, D. K. (2020). The complexity of collaboration in supply chain networks. Supply Chain Management: An International Journal, 25(3), 393-410.
  • Huo, B., Tian, M., Tian, Y., and Zhang, Q. (2019). The dilemma of inter-organizational relationships. International Journal of Operations & Production Management, 39(1), 2-23.
  • Huong Tran, T. T., Childerhouse, P. and Deakins, E. (2016). Supply chain information sharing: Challenges and risk mitigation strategies. Journal of Manufacturing Technology Management, 27(8), 1102-1126.
  • Jain, G., Kamble, S. S., Ndubisi, N. O., Shrivastava, A., Belhadi, A. and Venkatesh, M. (2022). Antecedents of blockchain enabled e-commerce platforms (BEEP) adoption by customers - A study of second-hand small and medium apparel retailers. Journal of Business Research, 149, 576–588.
  • Jean, R. J. B., Sinkovics, R. R. and Kim, D. (2014). The impact of technological, organizational and environmental characteristics on electronic collaboration and relationship performance in international customer-supplier relationships. Information and Management, 51, 854-864.
  • Jen, C. T., Hu, J., Zheng, J. and Xiao, L. L. (2020). The impacts of corporate governance mechanisms on knowledge sharing and supply chain performance. International Journal of Logistics Research and Applications, 23(4), 337-353.
  • Johnsen, T. E., Lamming R. C. and Harland C. M. (2008). Inter‐organizational relationships, chains, and networks: A supply perspective, in S. Cropper, M. Ebers, C. Huxham and P. Ring (Eds.): The Oxford handbook of Inter–organizational Relations. Oxford: Oxford University Press.
  • Johnson, M. E. and Whang, S. J. (2002). E-business and supply chain management: An overview and framework. Production and Operations Management, 11(4), 413-423.
  • Kamble, S. S.; Gunasekaran, A. and Sharma, R. (2020). Modeling the blockchain enabled traceability in agriculture supply chain. International Journal of Information Management, 52, 101967.
  • Kapnissis, G., Vaggelas, G. K., Leligou, H. C., Panos, A. and Doumi, M. (2022). Blockchain adoption from the Shipping industry: An empirical study. Maritime Transport Research, 3, 100058.
  • Kareem, M. A. and Kummitha, H. V. R. (2020). The impact of supply chain dynamic capabilities on operational performance. Organizacija, 53(4), 319-331.
  • Ke, W., Liu, H., Wei, K. K., Gu, J. and Chen, H. (2009). How do mediated and non-mediated power affect electronic supply chain management system adoption? The mediating effects of trust and institutional pressures. Decision Support Systems, 46(4), 839-851.
  • Khalilzadeh, J., Öztürk, A. B. and Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70, 460-474.
  • Kim, S. and Lee, C. (2024). Study examines role of collaboration-enhancing factors in supply chain. Operations and Supply Chain Management: An International Journal, 17(1), 77-88.
  • Kim, K., Umanath, N. S., Kim, J. Y., Ahrens, F. and Kim, B. (2012). Knowledge complementarity and knowledge exchange in supply channel relationships. International Journal of Information Management, 32(1), 35-49.
  • Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd Ed.). NY: Guilford Publications, Inc.
  • Ko, I., Olfman, L. and Choi, S. (2011). The impacts of electronic collaboration and information exploitation capability on firm performance: Focusing on suppliers using buyer-dominated interorganizational information systems. International Journal of e-Collaboration, 5(2), 1-17.
  • Krczal, E. and Behrens, D. A. (2024). Trust-building in temporary public health partnerships: a qualitative study of the partnership formation process of a covid-19 test, trace and protect service. BMC Health Services Research, 24(1).
  • Kumar, G., Subramanian, N. and Maria Arputham, R. (2018). Missing link between sustainability collaborative strategy and supply chain performance: Role of dynamic capability. International Journal of Production Economics, 203, 96-109.
  • Kumari, S., Jeble, S., Venkatesh, V. G., Nagarajan, C. and Shi, Y. (2023). Antecedents of agriculture supply chain performance during COVID-19: An emerging economy perspective. Operations Management Research, 16, 489-510.
  • Lee, C. and Kim, S. (2023). Impact of information sharing on trust and commitment level in the supply chain: focus on Korea’s three new core industries. Operations and Supply Chain Management: An International Journal, 16(1), 17-25.
  • Li, Z., Yang, C., Yang, Z. and Zhao, Y. (2024). The impact of middle managers’ digital leadership on employee work engagement. Frontiers in Psychology, 15:1368442.
  • Lim, W. M. (2020). The sharing economy: A marketing perspective. Australasian Marketing Journal, 28(3), 4-13.
  • Liu, H., Ke, W., Wei, K. K., Gu, J. and Chen, H. (2010). The role of institutional pressures and organizational culture in the firm’s intention to adopt internet-enabled supply chain management systems. Journal of Operations Management, 28(5), 372-384.
  • Liu, Y., Luo, Y. and Liu, T. (2009). Governing buyer–supplier relationships through transactional and relational mechanisms: Evidence from China. Journal of Operations Management, 27(4), 294-309.
  • Lu, W. and Al-Hakim, L. (2016). The interaction between collaboration, organisational capacity and e-business diffusion and their effect on business performance: Case study on Wenzhou electrical industry. Journal of Electronic Commerce in Organizations, 14(3), 35-56.
  • Lumineau, F. (2017). How contracts influence trust and distrust. Journal of Management, 43(5), 1553-1577.
  • Lusch, R. F. and Nambisan, S. (2015). Service innovation: A service-dominant logic perspective. MIS Quarterly, 39(1), 155-175.
  • Lyu, T., Lyu, X., Chen, H. and Zhao, Q. (2023). Breaking away from servitization paradox to improve manufacturing enterprises’ service innovation performance: The roles of market orientation and service supply chain dynamic capability. Journal of Organizational Change Management, 36(6), 848-874.
  • Markoulis, S. and Neofytou, N. (2016). An empirical analysis of the relationship between oil prices and stock markets. International Journal of Economics and Finance, 8(12), 120-131.
  • Maxwell, J. A. (2013). Qualitative research design: An interactive approach (3rd Ed.). Los Angeles, USA: Sage.
  • McDonald, R. P. and Ho, M. H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7(1), 64-82.
  • Mishra, D., Gunasekaran, A., Papadopoulos, T. and Dubey, R. (2018). Supply chain performance measures and metrics: A bibliometric study. Benchmarking: An International Journal, 25(3), 932-967.
  • Mohaved, A. B., Aliahmadi, A., Parsanejad, M. and Nozari, H. (2023). A systematic review of collaboration in supply chain 4.0 with meta-synthesis method. Supply Chain Analytics, 4, 100052.
  • Moldoveanu, M. C. and Baum, J. A. C. (2011). I think you think I think you’re lying’: The interactive epistemology of trust in social networks. Management Science, 57(2), 393-412.
  • Morgan, R., Doran, D., and Morgan, S. (2018). Strong contracts: the relationship between power and action. International Journal of Operations & Production Management, 38(1), 272-294.
  • Mora-Monge, C., Quesada, G., Gonzalez, M. E. and Davis, J. M. (2019). Trust, power and supply chain integration in Web-enabled supply chains. Supply Chain Management: An International Journal, 24(4), 524-539.
  • Mukhtar, M. A., Nasreen, F. and Khalid, W. (2023). Dynamic capabilities and firm performance: Moderating effect of environmental dynamism. Bulletin of Business and Economics (BBE), 12(4), 597-601.
  • Muthusamy, S. K. and White, M. A. (2005). Learning and knowledge transfer in strategic alliances: A social exchange view. Organization Studies, 26(3), 415-441.
  • Narayanan, S., Jayaraman, V., Luo, Y. and Swaminathan, J. M. (2011). The antecedents of process integration in business process outsourcing and its effect on firm performance. Journal of Operations Management, 29(1), 3-16.
  • Neuman, W. L. (2020). Toplumsal araştırma yöntemleri: Nicel ve nitel yaklaşımlar (8th Ed. Translated by Akkaya, Ö.). Istanbul: Yayın Odası.
  • Nezami, M. R., Bruijne, M. d., Hertogh, M. and Bakker, H. (2023). Inter-organizational collaboration in interconnected infrastructure projects. Sustainability, 15(8), 6721.
  • Oliveira, T., Faria, M., Thomas, M. A. and Popovic, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34(5), 689-703.
  • Oliver, C. (1990). Determinants of interorganizational relationships: Integration and future directions. Academy of Management Review, 15, 245-265.
  • Olorunniwo, F. O. and Li, X. (2010). Information sharing and collaboration practices in reverse logistics. Supply Chain Management: An International Journal, 15(6), 454-462.
  • Ou, C. X., Pavlou, P. A. and Davison, R. M. (2014). Swift guanxi in online marketplaces: The role of computer-mediated communication technologies. MIS Quarterly, 38(1), 209-224.
  • Öberg, C. (2024). Sharing economy models and sustainability: Towards a typology, Journal of Cleaner Production, 447, 141636.
  • Panahifar, F., Byrne, P. J. and Heavey, C. (2015). A hybrid approach to the study of CPFR implementation enablers. Production Planning & Control, 26(13), 1-20.
  • Panahifar, F., Byrne, P. J., Salam, M. A. and Heavey, C. (2018). Supply chain collaboration and firm’s performance: The critical role of information sharing and trust. Journal of Enterprise Information Management, 31(3), 358-379.
  • Panteli, N. and Sockalingam, S. (2005). Trust and conflict within virtual inter-organizational alliances: A framework for facilitating knowledge sharing. Decision Support Systems, 39(4), 599-617.
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y. and Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.
  • Pu, R. and Pathranarakul, P. (2019). Sharing economy as innovative paradigm towards sustainable development: A conceptual review. Journal of Reviews on Global Economics, 8, 387-398.
  • Prajogo, D. and Olhager, J. (2012). Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration. International Journal of Production Economics, 135(1), 514-522.
  • Pramatari, K. (2007). Collaborative supply chain practices and evolving technological approaches. Supply Chain Management: An International Journal, 12(3), 210-220.
  • Qian, C., Seuring, S., Wagner, R. and Dion, P. A. (2020). Personal and organizational level relationships in relational exchanges in supply chains – a bottom-up model. Supply Chain Management, 26(1), 32-47.
  • Qian, X. A. and Papadonikolaki, E. (2021). Shifting trust in construction supply chains through blockchain technology. Engineering, Construction and Architectural Management, 28(2), 584-602.
  • Queiroz, M. M. and Wamba, S. F. (2019). Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA. International Journal of Information Management, 46, 70-82.
  • Reynolds, S. (2024). Investigating the influence of power dynamics on supply chain decision-making processes. Preprints, 2024060561. https://doi.org/10.20944/preprints202406.0561.v1
  • Richey, R. G., Adams, F. G. and Dalela, V. (2012). Technology and flexibility: Enablers of collaboration and time-based logistics quality. Journal of Business Logistics, 33(1), 34-49.
  • Richey, R. G., Tokman, M. and Dalela, V. (2010). Examining collaborative supply chain service technologies: A study of intensity, relationship, and resources. Journal of the Academy of Marketing Science, 38, 71-89.
  • Rigdon, E. E. (1996). CFI versus RMSEA: A comparison of two fit indexes for structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 3(4), 369-379.
  • Rosenzweig, E. D. (2009). A contingent view of e-collaboration and performance in manufacturing. Journal of Operations Management, 27, 462-478.
  • Rossmannek, O. and Chen, M. (2023). Why people use the sharing economy: A meta-analysis. Journal of Cleaner Production, 387(2023), 135824.
  • Rust, R. T. and Espinoza, F. (2006). How technology advances influence business research and marketing strategy. Journal of Business Research, 59(10-11), 1072-1078.
  • Sabi, H. M., Uzoka, F. E., Langmia, K. and Njeh, F. N. (2016). Conceptualizing a model for adoption of cloud computing in education. International Journal of Information Management, 36, 183-191.
  • Scaraboto, D. (2015). Selling, sharing, and everything in between: The hybrid economies of collaborative networks. Journal of Consumer Research, 42(1), 152-176.
  • Schermelleh-Engel, K., Moosbrugger, H. and Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23-74.
  • Schor, J. (2021). After the gig: How the sharing economy got hijacked and how to win it back. California: University of California Press.
  • Schor, J. and Attwood-Charles, W. (2017). The “sharing” economy: Labor, inequality, and social connection on for-profit platforms. Sociology Compass, 11(8), 1-16.
  • Schor, J. B., Walker, E. T., Lee, C. W., Parigi, P. and Cook, K. (2015). On the sharing economy. Contexts, 14, 12-19.
  • Shahadat, M. M. H., Chowdhury, A. H. M. Y., Nathan, R. J. and Fekete-Farkas, M. (2023). Digital technologies for firms’ competitive advantage and improved supply chain performance. Journal of Risk and Financial Management, 16(2), 94.
  • Shaikh, I. M. and Amin, H. (2023). Consumers’ innovativeness and acceptance towards use of financial technology in Pakistan: Extension of the UTAUT model. Information Discovery and Delivery, 52(1), 114-122.
  • Sheu, C., Yen, H. R. and Chae, D. (2006). Determinants of supplier-retailer collaboration: Evidence from an international study. International Journal of Operations and Production Management, 26(1), 24-49.
  • Sheyadi, A. A. and Shaukat, M. R. (2023). Examining the direct and indirect impacts of e-supply chain implementation on performance: A collaborative approach. International Journal of Supply Chain Management, 12(6), 15-25.
  • Shih, S. C., Hsu, S. H. Y., Zhu, Z. and Balasubramanian, S. K. (2012). Knowledge sharing – a key role in the downstream supply chain. Information & Management, 49(2), 70-80.
  • Shmidt, M. (2023). Sharing economy as a field: Revisiting debates and introducing new research avenues. Sociology Compass, 17(10), e13120.
  • Simatupang, M. T. and Sridharan, R. (2005). The collaboration index: A measure for supply chain collaboration. International Journal of Physical Distribution & Logistics Management, 35(1), 44-62.
  • Singh, H., Garg, R. and Sachdeva, A. (2018). Supply chain collaboration: A state-of-the-art literature review. Uncertain Supply Chain Management, 6(2), 149-180.
  • Skinner, D., Dietz, G., and Weibel, A. (2014). The dark side of trust: When trust becomes a ‘poisoned chalice’. Organization, 21(2), 206-224.
  • Skippari, M., Laukkanen, M. and Salo, J. (2017). Cognitive barriers to collaborative innovation generation in supply chain relationships. Industrial Marketing Management, 62, 108-117.
  • Skipworth, H., Godsell, J., Wong, C. Y., Saghiri, S. and Julien, D. (2015). Supply chain alignment for improved business performance: An empirical study. Supply Chain Management: An International Journal, 20(5), 511-533.
  • Soosay, C. A. and Hyland, P. (2015). A decade of supply chain collaboration and directions for future research. Supply Chain Management: An International Journal, 20(6), 613-630.
  • Submitter, C., Kidd, M. P. and Borm, P. (2021). On determining leading coalitions in supply chains: Methodology and application. SSRN Electronic Journal, CentER Discussion Paper Series No. 2021-009.
  • Sugito, E. and Kusrini, E. (2023). Enhancing company productivity through information sharing in supply chain implementation. Jurnal Teknik Industri, 24(2), 109-126.
  • Sumak, B. and Sorgo, A. (2016). The acceptance and use of interactive whiteboards among teachers: Differences in UTAUT determinants between pre and post-adopters. Computers in Human Behavior, 64, 602-620.
  • Sun, Y., Wang, N., Guo, X. and Peng, Z. (2013). Understanding the acceptance of mobile health services: A comparison and integration of alternative models. Journal of Electronic Commerce Research, 14(2), 183-200.
  • Susanto, E., Othman, N., Tjaja, A. I. S., Rahayu, S. T., Gunawan, S. and Saptari, A. (2023). The impact of collaborative networks on supply chain performance: A case study of fresh vegetable commodities in Indonesia. AGRARIS: Journal of Agribusiness and Rural Development Research, 9(1), 79-99.
  • Tabachnick, B. G. and Fidell, L. S. (2012). Using multivariate statistics (6th Ed.). Upper Sadle River: Pearson.
  • Tahir, M. M. (2023). Students’ behavioural intention towards adoption of online education: a study of the extended utaut model. Journal of Learning for Development, 10(3), 392-410.
  • Teddlie, C. and Yu, F. (2007). Mixed methods sampling: A typology with examples. Journal of Mixed Methods Research, 1(1), 77-100.
  • Teece, D. (2012). Dynamic capabilities: Routines versus entrepreneurial action. Journal of Management Studies, 49(8), 1395-1401.
  • Tham, W. K., Lim, W .M. and Vieceli, J. (2023). Foundations of consumption and production in the sharing economy. Electronic Commerce Research, 23, 2979–3002.
  • Thomassen, A. O. (2024). University–industry collaborations as processual inter-organizational learning: Implications of the third context. Journal of Workplace Learning, 36(6), 399-416.
  • Tukamuhabwa, B., Mutebi, H., and Isabirye, D. (2021). Supplier performance in the public healthcare: Internal social capital, logistics capabilities and supply chain risk management capabilities as antecedents in a developing economy. Journal of Business and Socio-Economic Development, 3(1), 50-68.
  • Turkish Exporters Assembly (TIM) (2019). İhracatta ilk 1000 firma 2019. https://www.tim.org.tr/tr/raporlar-ilk-1000-ihracatci-arastirmasi-dosyalar-2019.
  • Turyadi, I., Zulkifli, Tawil, M. R., Ali, H. and Sadikin, A. (2023). The role of digital leadership in organizations to improve employee performance and business success. Jurnal Ekonomi, 12(2), 1671-1677.
  • Trebilcock, B. (2015). How they did it: supplier relationship at raytheon management. Supply Chain Management Review, 19(2), 18-23.
  • Tsanos, C. S. and Zografos, K. G. (2016). The effects of behavioural supply chain relationship antecedents on integration and performance. Supply Chain Management: An International Journal, 21(6), 678-693.
  • Um, K. (2023). The effect of npd complexity on npd performance via inter-organizational collaboration and conflict. Journal of Manufacturing Technology Management, 34(8), 1527-1548.
  • Vachon, S. and Klassen, R. D. (2006). Extending green practices across the supply chain: The impact of upstream and downstream integration. International Journal of Operations and Production Management, 26(7), 795-821.
  • van Oijen, J. C. F., van Dongen-Leunis, A., Postma, J., van Leeuwen, T. and Bal, R. (2024). Achieving research impact in medical research through collaboration across organizational boundaries: Insights from a mixed methods study in the Netherlands. Health Research Policy and Systems, 22(1).
  • VanDerSchaaf, H. P., Daim, T. U. and Basoglu, N. A. (2023). Factors influencing student information technology adoption. IEEE Transactions on Engineering Management, 70(2), 632-643.
  • Venkatesh, V., Morris, M. G., Davis, G. B. and Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
  • Venkatesh, V., Thong, J. Y. L. and Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
  • Venkatesh, V., Thong, J. Y. L. and Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328-376.
  • Villena, V. H., Choi, T. Y. and Revilla, E. (2016). Revisiting interorganizational trust: Is more always better or could more be worse? Journal of Management, 45(2), 752-785.
  • Wang, J. and Schweizer, L. (2023). Chinese cross‐border mergers and acquisitions: how communication practices impact integration outcomes. Thunderbird International Business Review, 66(1), 81-99.
  • Wang, Y., Hu, S., Lee, H. W., Tang, W., Shen, W. and Qiang, M. (2023). To achieve goal alignment by inter-organizational incentives: A case study of a hydropower project. Buildings, 13(9), 2258.
  • Wang, Y., Singgih, M., Wang, J. and Rit, M. (2019). Making sense of blockchain technology: How will it transform supply chains? International Journal of Production Economics, 211, 221-236.
  • Wei, G. (2023). The impact of blockchain technology on integrated green supply chain management in China: A conceptual study. Journal of Digitainability, Realism & Mastery (DREAM), 2(02), 58–65.
  • Wu, F., Yeniyurt, S., Kim, D. and Çavuşgil, S. T. (2006). The impact of information technology on supply chain capabilities and firm performance - a resource-based view. Industrial and Marketing Mangement, 35(4), 493-504.
  • Wu, S. and Ku, E. C. (2024). Aligning restaurants and artificial intelligence computing of food delivery service with product development. Journal of Hospitality and Tourism Technology, 15(3), 379-396.
  • Wuni, I. Y. and Shen, G. Q. (2023). Exploring the critical success determinants for supply chain management in modular integrated construction projects. Smart and Sustainable Built Environment, 12(2), 258-276.
  • Yang, C.-C., Li, C.-L., Yeh, T.-F. and Chang, Y.-C (2022). Assessing older adults’ intentions to use a smartphone: Using the meta–unified theory of the acceptance and use of technology. International Journal of Environmental Research and Public Health, 19, 5403.
  • Yang, J. (2014). Supply chain agility: Securing performance for Chinese manufacturers. International Journal of Production Economics, 15, 104-113.
  • Yang, R. J., Wakefield, R., Yi, X., Lyu, S., Yang, X., Zhang, J. and Zhang, I. (2019). Enhancing stakeholders’ trust in megaproject supply chain through blockchain: An exploratory study. Trust in Major and Mega Projects, otmc-conference.com.
  • Yeung, J. H. Y., Selen, W., Zhang, M. and Huo, B. (2009). The effects of trust and coercive power on supplier integration. International Journal of Production Economics, 120(1), 66-78.
  • Yi, H., Oh, D. and Amenuvor, F. E. (2023). The effect of smes’ dynamic capability on operational capabilities and organisational agility. South African Journal of Business Management, 54(1).
  • Yu, P. (2018). Interfirm coopetition, trust, and opportunism: A mediated moderation model. Review of Managerial Science, 13(5), 1069-1092.
  • Yuen, K. F. and Thai, V. (2017). Barriers to supply chain integration in the Maritime logistics industry. Maritime Economics & Logistics, 19(3), 551-572.
  • Zaman, S. I., Khan, S. A. and Kusi‐Sarpong, S. (2023). Investigating the relationship between supply chain finance and supply chain collaborative factors. Benchmarking: An International Journal, 31(6), 1941-1975.
  • Zeiringer, J. P. and Thalmann, S. (2021). Knowledge sharing and protection in data-centric collaborations: An exploratory stduy. Knowledge Management Research & Practice, 20(3), 436-448.
  • Zeng, X. and Yi, J. (2023). The supply chain information sharing path based on the internet of things. Internet Technology Letters, 7(4).
  • Zhang, P. and Tur, G. (2023). Collaborative e-portfolios use in higher education during the covid-19 pandemic: A co-design strategy. International Journal of Educational Methodology, 9(3), 585-601.
  • Zhang, Q., Khan, S., Khan, S. U. and Khan, I. U. (2023). Understanding blockchain technology adoption in operation and supply chain management of Pakistan: Extending UTAUT model with technology readiness, technology affinity and trust. SAGE Open, 13, 4.
  • Zhang, X., He, X., Du, X., Zhang, A. and Dong, Y. (2023). Supply chain practices, dynamic capabilities, and performance. Journal of Organizational and End User Computing, 35(3), 1-26.
  • Zhang, Y., Weng, Q. and Zhu, N. (2018). The relationships between electronic banking adoption and its antecedents: A meta-analytic study of the role of national culture. International Journal of Information Management, 40, 76-87.
  • Zhou, H. and Benton, W. C. (2007). Supply chain practice and information sharing. Journal of Operations Management, 25(6), 1348-1365.
There are 216 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Research Article
Authors

Çağlar Aktepe 0000-0003-4966-7335

Ayla Özhan Dedeoğlu 0000-0002-0179-0644

Early Pub Date October 31, 2024
Publication Date November 1, 2024
Submission Date June 24, 2024
Acceptance Date October 24, 2024
Published in Issue Year 2024 Volume: 24 Issue: 4

Cite

APA Aktepe, Ç., & Özhan Dedeoğlu, A. (2024). COLLABORATIVE SUPPLY CHAIN MANAGEMENT IN THE SHARING ECONOMY: AN EMPIRICAL RESEARCH. Ege Academic Review, 24(4), 687-714. https://doi.org/10.21121/eab.20240414
AMA Aktepe Ç, Özhan Dedeoğlu A. COLLABORATIVE SUPPLY CHAIN MANAGEMENT IN THE SHARING ECONOMY: AN EMPIRICAL RESEARCH. ear. November 2024;24(4):687-714. doi:10.21121/eab.20240414
Chicago Aktepe, Çağlar, and Ayla Özhan Dedeoğlu. “COLLABORATIVE SUPPLY CHAIN MANAGEMENT IN THE SHARING ECONOMY: AN EMPIRICAL RESEARCH”. Ege Academic Review 24, no. 4 (November 2024): 687-714. https://doi.org/10.21121/eab.20240414.
EndNote Aktepe Ç, Özhan Dedeoğlu A (November 1, 2024) COLLABORATIVE SUPPLY CHAIN MANAGEMENT IN THE SHARING ECONOMY: AN EMPIRICAL RESEARCH. Ege Academic Review 24 4 687–714.
IEEE Ç. Aktepe and A. Özhan Dedeoğlu, “COLLABORATIVE SUPPLY CHAIN MANAGEMENT IN THE SHARING ECONOMY: AN EMPIRICAL RESEARCH”, ear, vol. 24, no. 4, pp. 687–714, 2024, doi: 10.21121/eab.20240414.
ISNAD Aktepe, Çağlar - Özhan Dedeoğlu, Ayla. “COLLABORATIVE SUPPLY CHAIN MANAGEMENT IN THE SHARING ECONOMY: AN EMPIRICAL RESEARCH”. Ege Academic Review 24/4 (November 2024), 687-714. https://doi.org/10.21121/eab.20240414.
JAMA Aktepe Ç, Özhan Dedeoğlu A. COLLABORATIVE SUPPLY CHAIN MANAGEMENT IN THE SHARING ECONOMY: AN EMPIRICAL RESEARCH. ear. 2024;24:687–714.
MLA Aktepe, Çağlar and Ayla Özhan Dedeoğlu. “COLLABORATIVE SUPPLY CHAIN MANAGEMENT IN THE SHARING ECONOMY: AN EMPIRICAL RESEARCH”. Ege Academic Review, vol. 24, no. 4, 2024, pp. 687-14, doi:10.21121/eab.20240414.
Vancouver Aktepe Ç, Özhan Dedeoğlu A. COLLABORATIVE SUPPLY CHAIN MANAGEMENT IN THE SHARING ECONOMY: AN EMPIRICAL RESEARCH. ear. 2024;24(4):687-714.