Araştırma Makalesi
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TÜKETİCİ MOBİL ÖZ YETERLİLİĞİNİN VE ÇEVRİMİÇİ TÜKETİCİ YORUMLARININ ÇEVRİMİÇİ SATIN ALMA NİYETİ İLE İLİŞKİSİ

Yıl 2023, Cilt: 24 Sayı: 4, 287 - 309, 27.12.2023
https://doi.org/10.53443/anadoluibfd.1275956

Öz

Bu çalışmanın amacı, tüketici mobil öz yeterliliğinin ve çevrimiçi tüketici yorumlarının çevrimiçi satın alma niyetine olan etkisini belirlemektir. Yapılan bu çalışma ile çevrimiçi tüketici yorumlarının çevrimiçi satın alma niyetine olan etkisinde mobil öz yeterliliğin düzenleyici rolü araştırılmaktadır. Araştırma kapsamında kolayda örneklem yöntemiyle çevrimiçi olarak 450 katılımcıya ulaşılmıştır. Elde edilen verilerin geçerlilik ve güvenilirlikleri, açıklayıcı ve doğrulayıcı faktör analizi yardımıyla test edilmiştir. Araştırma hipotezlerinin test edilebilmesi amacıyla yapısal eşitlik modeli analizi uygulanmıştır. Analizler sonucunda, tüketici mobil öz yeterliliğinin ve çevrimiçi tüketici yorumlarının, çevrimiçi satın alma niyeti üzerindeki anlamlı etkisi ortaya konulmuştur. Buna ek olarak, çevrimiçi tüketici yorumlarına kıyasla, tüketici mobil öz yeterliliğin çevrimiçi satın alma niyeti üzerindeki etkisinin daha fazla olduğu görülmüştür. Çalışmanın bulgularına göre, çevrimiçi tüketici yorumlarının çevrimiçi satın alma niyeti üzerindeki etkisinde, tüketici mobil öz yeterliliğin düzenleyici rolüne ilişkin anlamlı bir etkisinin bulunmadığı tespit edilmiştir. Araştırmadan elde edilen bulguların literatüre katkı sağlayacağı düşünülmektedir.

Kaynakça

  • Ali, İ., & Warraich, N.F. (2020). The relationship between mobile self-efficacy and mobile-based personal information management practices: A systematic review. Library Hi Tech, 39(1), 126-143. doi: 10.1108/LHT-06-2019-0116
  • Baek, H., Ahn, J., & Choi, Y. (2012). Helpfulness of online consumer reviews: Readers' objectives and review cues. International Journal of Electronic Commerce, 17(2), 99-126. doi: 10.2753/JEC1086-4415170204
  • Bandura, A. (1997). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215.
  • Calaguas, N.P., & Consunji, P.M.P. (2021). A structural equation model predicting adults’ online learning self-efficacy. Education and Information Technologies, 27, 6233–6249. doi: 10.1007/s10639-021-10871-y
  • Chang, H.H., Wang, K.H., & Li, S.Y. (2017). Applying push-pull-mooring to investigate channel switching behaviors: M-shopping self-efficacy and switching costs as moderators. Electronic Commerce Research and Applications. doi: 10.1016/j.elerap.2017.06.002
  • Chang, Y.F., Chen, C.S., & Zhou, H. (2009). Smart phone for mobile commerce. Computer Standards & Interfaces, 31, 740–747. doi: 10.1016/j.csi.2008.09.016
  • Chen, M. (2020). Examining the influence of emotional expressions in online consumer reviews on perceived helpfulness. Information Processing and Management, 57. doi: 10.1016/j.ipm.2020.102266
  • Chen, P., Dhanasobhon, S., & Smith, M.D. (2008). All reviews are not created equal: The disaggregate impact of reviews and reviewers at Amazon.com. doi: 10.2139/ssrn.918083
  • Compeau, D. R., & Higgins, C.A. (1995). Computer self-efficacy: Development of a measure and initial test. Management Information Systems Research Center,19(2), 189-211.
  • Cui, G., Lui, H. K., & Guo, X. (2012). The effect of online consumer reviews on new product sales. International Journal of Electronic Commerce, 17(1), 39–57. doi: 10.2753/JEC1086-4415170102
  • Çatı, K., & Küçük, H. İ. (2021). Çevrimiçi satın alma kararına tüketici değerlendirmelerinin etkisi. İşletme Bilimi Dergisi (JOBS), 9(2), 301-332. doi: 10.22139/jobs.924959 2
  • Davis, F. D., Bagozzi, R. P., & Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. doi: 10.1287/mnsc.35.8.982
  • Dewi, D. S., Sudiarno, A., Saputra, H., & Dewi, R. S. (2018). The effect of emotional design and online customer review on customer repeat purchase intention in online stores. International Conference on Industrial and System Engineering, 337. doi:10.1088/1757-899X/337/1/012052
  • Diwanji, V. S., & Cortese, J. (2021). Comparing the impact of presentation format of consumer generated reviews on shoppers’ decisions in an online social commerce environment. Journal of Electronic Commerce Research, 22(1), 22-45.
  • eMarketer, (2021). Worldwide ecommerce will approach $5 trillion this year. https://www.insiderintelligence.com/content/worldwide-ecommerce-will-approach-5-trillion-this-year adresinden erişildi.
  • Elektronik Ticaret Bilgi Sistemi, (2022). 2022 yılı ilk 6 ay e-ticaret bülteni. https://www.eticaret.gov.tr/dnnqthgzvawtdxraybsaacxtymawm/content/FileManager/Dosyalar/Eticaret_Bulteni_2022_Ilk_6_Ay.pdf adresinden erişildi.
  • Elnadi, M., & Gheith, M. H. (2021). Entrepreneurial ecosystem, entrepreneurial self-efficacy, and entrepreneurial intention in higher education: Evidence from Saudi Arabia. The International Journal of Management Education, 19(1). doi: 10.1016/j.ijme.2021.100458
  • Fan, W. (2021). What makes consumer perception of online review helpfulness: Synthesizing the past to guide future research. Hawaii International Conference on System Sciences, 2738-2747.
  • Filieri, R., Galati, F., & Raguseo, E. (2021). The impact of service attributes and category on eWOM helpfulness: An investigation of extremely negative and positive ratings using latent semantic analytics and regression analysis. Computers in Human Behavior, 114. doi: 10.1016/j.chb.2020.106527
  • Furner, C. P., Zinko, R., & Zhu, Z. (2018). Examining the role of mobile self-efficacy in the word-of-mouth / mobile product reviews relationship. International Journal of E-Services and Mobile Applications, 10(4), 40-60. doi: 10.4018/IJESMA.2018100103
  • Furner, C. P., Zinko, R., Zhu, Z., McDowell, W., & Dalton, A. (2014). Online word-of-mouth and mobile product reviews: An experimental investigation of the mediating role of mobile self efficacy. Wuhan International Conference on E-Business-Human Behavior and Social Impacts on E-Business, 66, 300-308.
  • Gürbüz, S., & Şahin, F. (2018). Sosyal bilimlerde araştırma yöntemleri. (5. Baskı). Ankara: Seçkin Yayıncılık.
  • Gürsoy, D. (2018). A critical review of determinants of information search behavior and utilization of online reviews in decision making process. International Journal of Hospitality Management, 76(Part B), 53-60. doi: 10.1016/j.ijhm.2018.06.003
  • Habiboğlu, Ö., Akturan, U., & Pirtini, S. (2021). E-perakendecilerin bilgi yönetimi ve tüketici çevrimiçi güven unsurlarına ilişkin uygulamaları: Ampirik bir çalışma. Journal of Research in Business, 6(2), 303-318. doi: 10.29228/JRB.903789
  • Hair, J. F., Black, W.C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis. (7. Baskı). NewYok: Prentice Hall.
  • Hamdan, K. M., Al-Bashaireh, A. M., Zahran, Z., Al-Daghestani, A., AL-Habashneh, S., & Shaheen, A. M. (2021). University students' interaction, internet self-efficacy, self-regulation and satisfaction with online education during pandemic crises of COVID-19 (SARS-CoV-2). International Journal of Educational Management, 35(3), 713-725. doi: 10.1108/IJEM-11-2020-0513
  • Hammer, M., Scheiter, K., & Stürmer, K. (2021). New technology, new role of parents: How parents' beliefs and behavior affect students’ digital media self-efficacy. Computers in Human Behavior, 116. doi: 10.1016/j.chb.2020.106642
  • Han, S. S. (2020). A factors effecting online social decisions in online consumer behavior. Journal of Distribution Science, 18(3), 67-76. doi: 10.15722/jds.18.3.202003.67
  • Hanham, J., Lee, C. B., & Teo, T. (2021). The influence of technology acceptance, academic self-efficacy, and gender on academic achievement through online tutoring. Computers & Education, 172. doi: 10.1016/j.compedu.2021.104252
  • Hong, I. B., & Cha, H. S. (2013). The mediating role of consumer trust in an online merchant inpredicting purchase intention. International Journal of Information Management, 33, 927-939. doi: 10.1016/j.ijinfomgt.2013.08.007
  • Iconaru, C. (2013). The moderating role of perceived self-efficacy in the context of online buying adoption. Broad Research in Accounting, Negotiation, and Distribution, 4(1), 20-29.
  • İktisadi İşbirliği ve Gelişme Teşkilatı (2019). Understanding online consumer ratings and reviews. https://www.oecd-ilibrary.org/science-and-technology/understanding-online-consumer-ratings-and-reviews_eb018587-en adresinden erişildi.
  • Jaradat, M. R. M., & Faqih, K.M.S. (2014). Investigating the moderating effects of gender and self-efficacy in the context of mobile payment adoption: A developing country perspective. International Journal of Business and Management, 9(11), 147-169.
  • Jondeau, E., & Rockinger, M. (2003). Conditional volatility, skewness, and kurtosis: existence, persistence, and comovements. Journal of Economic Dynamics & Control, 27, 1699 – 1737. doi: 10.1016/S0165-1889(02)00079-9
  • Karataş, İ. A. (2022). Çevrimiçi tüketici ve fenomen yorumlarının çevrimiçi satın alma davranışı üzerine etkisi. Turkish Studies-Economy, 17(3), 693-711. doi: 10.7827/TurkishStudies.63092
  • Keith, M. J., Babb, J. S., Lowry, P. B., Furner, C. P., & Abdullat, A. (2015). The role of mobile-computing self-efficacy in consumer information disclosure. Information Systems Journal, 25, 637–667. doi: 10.1111/isj.12082
  • Lee, J., Park, D., & Han, I. (2008). The effect of negative online consumer reviews on product attitude: An information processing view. Electronic Commerce Research and Applications, 7, 341–352. doi: 10.1016/j.elerap.2007.05.004
  • Lu, H., & Su, P.Y. (2009). Factors affecting purchase intention on mobile shopping web sites. Internet Research, 19(4), 442-458. doi: 10.1108/10662240910981399
  • Mahat, J., Ayub, A.F.M., Luan, S., & Wong (2012). An assessment of students’ mobile self-efficacy, readiness and personal innovativeness towards mobile learning in higher education in Malaysia. Procedia - Social and Behavioral Sciences, 284 – 290. doi: 10.1016/j.sbspro.2012.11.033
  • Makkonen, M., Nyrhinen, J., Frank, L., & Karjaluoto, H. (2022). The effects of general and mobile online shopping skilfulness and multichannel self-efficacy on consumer showrooming behaviour. A. Pucihar, M. Kljajić Borštnar, R. Bons, A. Sheombar, G. Ongena, & D. Vidmar (Eds.), 35th Bled eConference : Digital Restructuring and Human (Re)action içinde (ss. 479-494). University of Maribor. doi: 10.18690/um.fov.4.2022.30
  • Marakas, G. M., Johnson, R. D., & Clay, P. F. (2007). The evolving nature of the computer self-efficacy construct: An empirical investigation of measurement construction, validity, reliability and stability over time. Journal of the Association for Information Systems, 8(1), 16–46. doi: 10.17705/1jais.00112
  • Marakas, G. M., Yi, M. Y., & Johnson, R. D. (1998). The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Information Systems Research, 9(2), 126-163. doi: 10.1287/isre.9.2.126
  • Maslowska, E., Malthouse, E. C., & Viswanathan, V. (2017). Do customer reviews drive purchase decisions? The moderating roles of review exposure and price. Decision Support Systems, 98, 1-9. doi: 10.1016/j.dss.2017.03.010
  • Montgomery, D. C., Peck, E. A., & Vining, G. G. (2012). Introduction to linear regression analysis. (5. Baskı). John Wiley & Sons.
  • Muslimah, N., & Mursid, M. C. (2019). The effect of online consumer Review on the intention of buying products on social commerce. Aptisi Transactions on Management, 3(1), 22-28. doi: 10.33050/atm.v3i1.678
  • Oakley, R. L., & Palvia, P. C. (2012). A study of the impact of mobile self-efficacy and emotional attachment on mobile device infusion. AMCIS 2012 Proceedings, Paper 15, 1-9.
  • Park, C., & Lee, T.M. (2009). Antecedents of online reviews' usage and purchase influence: An empirical comparison of U.S. and korean consumers. Journal of Interactive Marketing, 23, 332–340. doi: 10.1016/j.intmar.2009.07.001
  • Ruiz-Mafe, C., Bigne-Alcaniz, E., & Rafael Curras-Perez. (2020). The effect of emotions, e-wom quality and online review sequence on consumer intention to follow advice obtained from digital services. Journal of Service Management, 31(3), 465-487. doi: 10.1108/JOSM-11-2018-0349
  • Senecal, S., & Nantel, J. (2004). The influence of online product recommendations on consumers’ online choices. Journal of Retailing, 80, 159–169. doi: 10.1016/j.jretai.2004.04.001
  • Statista (2023). Internet usage worldwide- statistics & facts, https://www.statista.com/topics/1145/internet-usage-worldwide/#topicOverview adresinden erişildi.
  • Thakur, R. (2018). The role of self-efficacy and customer satisfaction in driving loyalty to the mobile shopping application. International Journal of Retail & Distribution Management, 46(3), 283-303. doi: 10.1108/IJRDM-11-2016-0214
  • Thevaranjan, D., & Samantha M. S. (2022). Factors affecting consumer intention to adopt m-commerce. Proceedings of the 11th International Conference on Management and Economics, 315-326.
  • Utz, S., Kerkhof, P. & van den Bos, J. (2012). Consumers rule: How consumer reviews influence perceived trustworthiness of online stores. Electronic Commerce Research and Applications, 11, 49-58. doi: 10.1016/j.elerap.2011.07.010
  • Varzaru, A. A., Bocean, C.G., Rotea, C.C., & Budic˘a-Iacob, A.F. (2021). Assessing antecedents of behavioral intention to use mobile technologies in e-commerce. Electronics, 10, 2231. doi: 10.3390/electronics10182231
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
  • Ventre, I., & Kolbe, D. (2020). The impact of perceived usefulness of online reviews, trust and perceived risk on online purchase intention in emerging markets: A Mexican perspective. Journal of International Consumer Marketing, 32(4), 287-299.. doi: 10.1080/08961530.2020.1712293
  • Vidanagama, D. U., Silva, T. P., & Karunananda, A. S. (2019). Deceptive consumer review detection: A survey. Artificial Intelligence Review, 53(2), 1323-1352. doi: 10.1007/s10462-019-09697-5
  • Wang, Y., & Wang, H. (2008). Developing and validating an instrument for measuring mobile computing self-efficacy. Cyber Psychology & Behavior, 11(4). doi: 10.1089/cpb.2007.0061
  • Wu, J., Wu, Y., Sun, J., & Yang, Z. (2013). User reviews and uncertainty assessment: A two stage model of consumers' willingness-to-pay in online markets. Decision Support Systems, 55, 175–185. doi: 10.1016/j.dss.2013.01.017
  • Yaacob, A., Gan, J. L., & Yusuf, S. (2021). The role of online consumer review, social media advertisement and influencer endorsement on purchase intention of fashion apparel during Covid-19. Journal of Content, Community & Communication, 14(7), 17-33. doi: 10.31620/JCCC.12.21/03
  • Yang, K. (2012). Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior. Journal of Retailing and Consumer Services, 19, 484-491. doi: 10.1016/j.jretconser.2012.06.003
  • Zhou, T., Lu, Y., & Wang, B. (2014). Examining online consumers’ initial trust building from an elaboration likelihood model perspective. Information Systems Frontiers, 18, 265-275. doi: 10.1007/s10796-014-9530-5

THE RELATIONSHIP OF CONSUMER MOBILE SELF EFFICACY AND ONLINE CONSUMER REVIEWS WITH ONLINE PURCHASE INTENTION

Yıl 2023, Cilt: 24 Sayı: 4, 287 - 309, 27.12.2023
https://doi.org/10.53443/anadoluibfd.1275956

Öz

The aim of this study is to determine the effect of consumer mobile self-efficacy and online consumer reviews on online purchase intention. With this study, moderator role of mobile self-efficacy in the effect of online consumer reviews on online purchase intention was investigated. For the research, 450 participants were reached with the convenience sampling method. The validity and reliability of the obtained data were tested with explanatory and confirmatory factor analysis. Structural equation model analysis was applied for research hypotheses. The significant effect of mobile self-efficacy and online consumer reviews on purchase intention was revealed. Compared to consumer reviews, the effect of mobile self-efficacy on purchase intention was found to be greater. According to the findings of the study, it was determined that there was no significant effect on the moderating role of consumer mobile self-efficacy in the effect of online consumer reviews on online purchasing intention. The results of the study are considered to contribute to the literature.

Kaynakça

  • Ali, İ., & Warraich, N.F. (2020). The relationship between mobile self-efficacy and mobile-based personal information management practices: A systematic review. Library Hi Tech, 39(1), 126-143. doi: 10.1108/LHT-06-2019-0116
  • Baek, H., Ahn, J., & Choi, Y. (2012). Helpfulness of online consumer reviews: Readers' objectives and review cues. International Journal of Electronic Commerce, 17(2), 99-126. doi: 10.2753/JEC1086-4415170204
  • Bandura, A. (1997). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215.
  • Calaguas, N.P., & Consunji, P.M.P. (2021). A structural equation model predicting adults’ online learning self-efficacy. Education and Information Technologies, 27, 6233–6249. doi: 10.1007/s10639-021-10871-y
  • Chang, H.H., Wang, K.H., & Li, S.Y. (2017). Applying push-pull-mooring to investigate channel switching behaviors: M-shopping self-efficacy and switching costs as moderators. Electronic Commerce Research and Applications. doi: 10.1016/j.elerap.2017.06.002
  • Chang, Y.F., Chen, C.S., & Zhou, H. (2009). Smart phone for mobile commerce. Computer Standards & Interfaces, 31, 740–747. doi: 10.1016/j.csi.2008.09.016
  • Chen, M. (2020). Examining the influence of emotional expressions in online consumer reviews on perceived helpfulness. Information Processing and Management, 57. doi: 10.1016/j.ipm.2020.102266
  • Chen, P., Dhanasobhon, S., & Smith, M.D. (2008). All reviews are not created equal: The disaggregate impact of reviews and reviewers at Amazon.com. doi: 10.2139/ssrn.918083
  • Compeau, D. R., & Higgins, C.A. (1995). Computer self-efficacy: Development of a measure and initial test. Management Information Systems Research Center,19(2), 189-211.
  • Cui, G., Lui, H. K., & Guo, X. (2012). The effect of online consumer reviews on new product sales. International Journal of Electronic Commerce, 17(1), 39–57. doi: 10.2753/JEC1086-4415170102
  • Çatı, K., & Küçük, H. İ. (2021). Çevrimiçi satın alma kararına tüketici değerlendirmelerinin etkisi. İşletme Bilimi Dergisi (JOBS), 9(2), 301-332. doi: 10.22139/jobs.924959 2
  • Davis, F. D., Bagozzi, R. P., & Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. doi: 10.1287/mnsc.35.8.982
  • Dewi, D. S., Sudiarno, A., Saputra, H., & Dewi, R. S. (2018). The effect of emotional design and online customer review on customer repeat purchase intention in online stores. International Conference on Industrial and System Engineering, 337. doi:10.1088/1757-899X/337/1/012052
  • Diwanji, V. S., & Cortese, J. (2021). Comparing the impact of presentation format of consumer generated reviews on shoppers’ decisions in an online social commerce environment. Journal of Electronic Commerce Research, 22(1), 22-45.
  • eMarketer, (2021). Worldwide ecommerce will approach $5 trillion this year. https://www.insiderintelligence.com/content/worldwide-ecommerce-will-approach-5-trillion-this-year adresinden erişildi.
  • Elektronik Ticaret Bilgi Sistemi, (2022). 2022 yılı ilk 6 ay e-ticaret bülteni. https://www.eticaret.gov.tr/dnnqthgzvawtdxraybsaacxtymawm/content/FileManager/Dosyalar/Eticaret_Bulteni_2022_Ilk_6_Ay.pdf adresinden erişildi.
  • Elnadi, M., & Gheith, M. H. (2021). Entrepreneurial ecosystem, entrepreneurial self-efficacy, and entrepreneurial intention in higher education: Evidence from Saudi Arabia. The International Journal of Management Education, 19(1). doi: 10.1016/j.ijme.2021.100458
  • Fan, W. (2021). What makes consumer perception of online review helpfulness: Synthesizing the past to guide future research. Hawaii International Conference on System Sciences, 2738-2747.
  • Filieri, R., Galati, F., & Raguseo, E. (2021). The impact of service attributes and category on eWOM helpfulness: An investigation of extremely negative and positive ratings using latent semantic analytics and regression analysis. Computers in Human Behavior, 114. doi: 10.1016/j.chb.2020.106527
  • Furner, C. P., Zinko, R., & Zhu, Z. (2018). Examining the role of mobile self-efficacy in the word-of-mouth / mobile product reviews relationship. International Journal of E-Services and Mobile Applications, 10(4), 40-60. doi: 10.4018/IJESMA.2018100103
  • Furner, C. P., Zinko, R., Zhu, Z., McDowell, W., & Dalton, A. (2014). Online word-of-mouth and mobile product reviews: An experimental investigation of the mediating role of mobile self efficacy. Wuhan International Conference on E-Business-Human Behavior and Social Impacts on E-Business, 66, 300-308.
  • Gürbüz, S., & Şahin, F. (2018). Sosyal bilimlerde araştırma yöntemleri. (5. Baskı). Ankara: Seçkin Yayıncılık.
  • Gürsoy, D. (2018). A critical review of determinants of information search behavior and utilization of online reviews in decision making process. International Journal of Hospitality Management, 76(Part B), 53-60. doi: 10.1016/j.ijhm.2018.06.003
  • Habiboğlu, Ö., Akturan, U., & Pirtini, S. (2021). E-perakendecilerin bilgi yönetimi ve tüketici çevrimiçi güven unsurlarına ilişkin uygulamaları: Ampirik bir çalışma. Journal of Research in Business, 6(2), 303-318. doi: 10.29228/JRB.903789
  • Hair, J. F., Black, W.C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis. (7. Baskı). NewYok: Prentice Hall.
  • Hamdan, K. M., Al-Bashaireh, A. M., Zahran, Z., Al-Daghestani, A., AL-Habashneh, S., & Shaheen, A. M. (2021). University students' interaction, internet self-efficacy, self-regulation and satisfaction with online education during pandemic crises of COVID-19 (SARS-CoV-2). International Journal of Educational Management, 35(3), 713-725. doi: 10.1108/IJEM-11-2020-0513
  • Hammer, M., Scheiter, K., & Stürmer, K. (2021). New technology, new role of parents: How parents' beliefs and behavior affect students’ digital media self-efficacy. Computers in Human Behavior, 116. doi: 10.1016/j.chb.2020.106642
  • Han, S. S. (2020). A factors effecting online social decisions in online consumer behavior. Journal of Distribution Science, 18(3), 67-76. doi: 10.15722/jds.18.3.202003.67
  • Hanham, J., Lee, C. B., & Teo, T. (2021). The influence of technology acceptance, academic self-efficacy, and gender on academic achievement through online tutoring. Computers & Education, 172. doi: 10.1016/j.compedu.2021.104252
  • Hong, I. B., & Cha, H. S. (2013). The mediating role of consumer trust in an online merchant inpredicting purchase intention. International Journal of Information Management, 33, 927-939. doi: 10.1016/j.ijinfomgt.2013.08.007
  • Iconaru, C. (2013). The moderating role of perceived self-efficacy in the context of online buying adoption. Broad Research in Accounting, Negotiation, and Distribution, 4(1), 20-29.
  • İktisadi İşbirliği ve Gelişme Teşkilatı (2019). Understanding online consumer ratings and reviews. https://www.oecd-ilibrary.org/science-and-technology/understanding-online-consumer-ratings-and-reviews_eb018587-en adresinden erişildi.
  • Jaradat, M. R. M., & Faqih, K.M.S. (2014). Investigating the moderating effects of gender and self-efficacy in the context of mobile payment adoption: A developing country perspective. International Journal of Business and Management, 9(11), 147-169.
  • Jondeau, E., & Rockinger, M. (2003). Conditional volatility, skewness, and kurtosis: existence, persistence, and comovements. Journal of Economic Dynamics & Control, 27, 1699 – 1737. doi: 10.1016/S0165-1889(02)00079-9
  • Karataş, İ. A. (2022). Çevrimiçi tüketici ve fenomen yorumlarının çevrimiçi satın alma davranışı üzerine etkisi. Turkish Studies-Economy, 17(3), 693-711. doi: 10.7827/TurkishStudies.63092
  • Keith, M. J., Babb, J. S., Lowry, P. B., Furner, C. P., & Abdullat, A. (2015). The role of mobile-computing self-efficacy in consumer information disclosure. Information Systems Journal, 25, 637–667. doi: 10.1111/isj.12082
  • Lee, J., Park, D., & Han, I. (2008). The effect of negative online consumer reviews on product attitude: An information processing view. Electronic Commerce Research and Applications, 7, 341–352. doi: 10.1016/j.elerap.2007.05.004
  • Lu, H., & Su, P.Y. (2009). Factors affecting purchase intention on mobile shopping web sites. Internet Research, 19(4), 442-458. doi: 10.1108/10662240910981399
  • Mahat, J., Ayub, A.F.M., Luan, S., & Wong (2012). An assessment of students’ mobile self-efficacy, readiness and personal innovativeness towards mobile learning in higher education in Malaysia. Procedia - Social and Behavioral Sciences, 284 – 290. doi: 10.1016/j.sbspro.2012.11.033
  • Makkonen, M., Nyrhinen, J., Frank, L., & Karjaluoto, H. (2022). The effects of general and mobile online shopping skilfulness and multichannel self-efficacy on consumer showrooming behaviour. A. Pucihar, M. Kljajić Borštnar, R. Bons, A. Sheombar, G. Ongena, & D. Vidmar (Eds.), 35th Bled eConference : Digital Restructuring and Human (Re)action içinde (ss. 479-494). University of Maribor. doi: 10.18690/um.fov.4.2022.30
  • Marakas, G. M., Johnson, R. D., & Clay, P. F. (2007). The evolving nature of the computer self-efficacy construct: An empirical investigation of measurement construction, validity, reliability and stability over time. Journal of the Association for Information Systems, 8(1), 16–46. doi: 10.17705/1jais.00112
  • Marakas, G. M., Yi, M. Y., & Johnson, R. D. (1998). The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Information Systems Research, 9(2), 126-163. doi: 10.1287/isre.9.2.126
  • Maslowska, E., Malthouse, E. C., & Viswanathan, V. (2017). Do customer reviews drive purchase decisions? The moderating roles of review exposure and price. Decision Support Systems, 98, 1-9. doi: 10.1016/j.dss.2017.03.010
  • Montgomery, D. C., Peck, E. A., & Vining, G. G. (2012). Introduction to linear regression analysis. (5. Baskı). John Wiley & Sons.
  • Muslimah, N., & Mursid, M. C. (2019). The effect of online consumer Review on the intention of buying products on social commerce. Aptisi Transactions on Management, 3(1), 22-28. doi: 10.33050/atm.v3i1.678
  • Oakley, R. L., & Palvia, P. C. (2012). A study of the impact of mobile self-efficacy and emotional attachment on mobile device infusion. AMCIS 2012 Proceedings, Paper 15, 1-9.
  • Park, C., & Lee, T.M. (2009). Antecedents of online reviews' usage and purchase influence: An empirical comparison of U.S. and korean consumers. Journal of Interactive Marketing, 23, 332–340. doi: 10.1016/j.intmar.2009.07.001
  • Ruiz-Mafe, C., Bigne-Alcaniz, E., & Rafael Curras-Perez. (2020). The effect of emotions, e-wom quality and online review sequence on consumer intention to follow advice obtained from digital services. Journal of Service Management, 31(3), 465-487. doi: 10.1108/JOSM-11-2018-0349
  • Senecal, S., & Nantel, J. (2004). The influence of online product recommendations on consumers’ online choices. Journal of Retailing, 80, 159–169. doi: 10.1016/j.jretai.2004.04.001
  • Statista (2023). Internet usage worldwide- statistics & facts, https://www.statista.com/topics/1145/internet-usage-worldwide/#topicOverview adresinden erişildi.
  • Thakur, R. (2018). The role of self-efficacy and customer satisfaction in driving loyalty to the mobile shopping application. International Journal of Retail & Distribution Management, 46(3), 283-303. doi: 10.1108/IJRDM-11-2016-0214
  • Thevaranjan, D., & Samantha M. S. (2022). Factors affecting consumer intention to adopt m-commerce. Proceedings of the 11th International Conference on Management and Economics, 315-326.
  • Utz, S., Kerkhof, P. & van den Bos, J. (2012). Consumers rule: How consumer reviews influence perceived trustworthiness of online stores. Electronic Commerce Research and Applications, 11, 49-58. doi: 10.1016/j.elerap.2011.07.010
  • Varzaru, A. A., Bocean, C.G., Rotea, C.C., & Budic˘a-Iacob, A.F. (2021). Assessing antecedents of behavioral intention to use mobile technologies in e-commerce. Electronics, 10, 2231. doi: 10.3390/electronics10182231
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
  • Ventre, I., & Kolbe, D. (2020). The impact of perceived usefulness of online reviews, trust and perceived risk on online purchase intention in emerging markets: A Mexican perspective. Journal of International Consumer Marketing, 32(4), 287-299.. doi: 10.1080/08961530.2020.1712293
  • Vidanagama, D. U., Silva, T. P., & Karunananda, A. S. (2019). Deceptive consumer review detection: A survey. Artificial Intelligence Review, 53(2), 1323-1352. doi: 10.1007/s10462-019-09697-5
  • Wang, Y., & Wang, H. (2008). Developing and validating an instrument for measuring mobile computing self-efficacy. Cyber Psychology & Behavior, 11(4). doi: 10.1089/cpb.2007.0061
  • Wu, J., Wu, Y., Sun, J., & Yang, Z. (2013). User reviews and uncertainty assessment: A two stage model of consumers' willingness-to-pay in online markets. Decision Support Systems, 55, 175–185. doi: 10.1016/j.dss.2013.01.017
  • Yaacob, A., Gan, J. L., & Yusuf, S. (2021). The role of online consumer review, social media advertisement and influencer endorsement on purchase intention of fashion apparel during Covid-19. Journal of Content, Community & Communication, 14(7), 17-33. doi: 10.31620/JCCC.12.21/03
  • Yang, K. (2012). Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior. Journal of Retailing and Consumer Services, 19, 484-491. doi: 10.1016/j.jretconser.2012.06.003
  • Zhou, T., Lu, Y., & Wang, B. (2014). Examining online consumers’ initial trust building from an elaboration likelihood model perspective. Information Systems Frontiers, 18, 265-275. doi: 10.1007/s10796-014-9530-5
Toplam 62 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İşletme
Bölüm Araştırma Makalesileri
Yazarlar

Kevser Ezgi Kaynar 0000-0003-1242-7792

Aslıhan Yavuzalp Marangoz 0000-0002-5119-4330

Yayımlanma Tarihi 27 Aralık 2023
Gönderilme Tarihi 3 Nisan 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 24 Sayı: 4

Kaynak Göster

APA Kaynar, K. E., & Yavuzalp Marangoz, A. (2023). TÜKETİCİ MOBİL ÖZ YETERLİLİĞİNİN VE ÇEVRİMİÇİ TÜKETİCİ YORUMLARININ ÇEVRİMİÇİ SATIN ALMA NİYETİ İLE İLİŞKİSİ. Anadolu Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 24(4), 287-309. https://doi.org/10.53443/anadoluibfd.1275956

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