Research Article
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Year 2024, Volume: 22 Issue: 1, 154 - 170, 28.03.2024
https://doi.org/10.11611/yead.1410770

Abstract

References

  • Ahmed Oussousa F.(2018) “Big Data Technologies: A Survey”, Journal of King Saud University - Computer and Information Sciences; 30(4): 431-448.
  • AishaSiddiqaab, Hashem, I. A., and Yaqoob, İ. (2016) “A Survey of Big Data Management: Taxonomy And State-Of-The-Art”, Journal of Network and Computer Applications;71(1): 151-166.
  • Al-sal, Z. A., Abdullah, R., and Husin, M. H. (2020) “Critical Success Factors For Big Data: A Systematic Literature Review”, IEEE Access, 118940-118957.
  • Anshari, M., Alas, Y. and Lim, S. G. (2016) “Developing Online Learning Resources: Big data, Social Networks, And Cloud Computing To Support Pervasive Knowledge”, Education and Information Technologies , 21 (6): 1663-1677.
  • Arıkan, R. (2018) “Anket Yöntemi Üzerinde Bir Değerlendirme”, Haliç Üniversitesi Sosyal Bilimler Dergisi,1(1): 97-159.
  • Aycı, A. (2022) “Faaliyetlerinde Kullanılabilirliğine Yönelik Bir Araştırma: Türkiye’de Kolay İhracat Platformu ve İşletme Değerlendirme Raporu Örneği”, ÖHD Üniversitesi İ.İ.B.F Dergisi, 15(3):523-537.
  • Bakshi, K. (2012) “Considerations For Big Data: Architecture and Approach”, IEEE , Mountain Village-Colorado.
  • Chen, H., Chian, R. H. and Stor, V. C. (2012) “Business Intelligence and Analytics: From Big Data to Big Impact”, MIS Quarterly, 36(4): 1165-1188.
  • Chmiliar, L. (2013) “Multiple-Case Designs”, Encyclopedia of Case Study Research: Oaks: Sage 582-583. Chuah, M. H. and Thurusamry, R. (2021) “Challenges Of Big Data Adoption In Malaysia Smes Based On Lessig’s Modalities: A Systematic Review”, Cogent Business & Management , 8: 1-8.
  • Coleman, S., Göb, R. and Manco, G. (2008) “How Can SMEs Benefit from Big Data? Challenges and a Path Forward”, Quality and Reliability, 32(6): 2151-2164.
  • Couper, M. P. (2017) “New Developments in Survey Data Collection”, Annual Reviews, 43:121-145.
  • Davenport, T. H. and Dyché, J. (2013) “Big Data in Big Companies”, Portland: Institute, 1-31.
  • Delloite. (2020) “Doing Business In The Digital Age”, https://ec.europa.eu › renditions › native (05.04.2020).
  • Gonzales, R., Wareham, J. and Serida, J. (2015) “Measuring the Impact of Data Warehouse and Business Intelligence on Enterprise Performance in Peru: A Developing Country”, Journal of Global Information Technology Management, 18(3): 162-187.
  • Güven, A., Bozkurt, Ö. and Kalıpsız, O. (2007) “Veri Madenciliğinin Geleceği”, IX. Akademik Bilişim, Dumlupınar Üniversitesi -Kütahya.
  • Harrison, G. (2015) “Next Generation Databases”, New York, Appress.
  • Helena D. and Merceron, A. (2012) “Learning Analytics with Excel Pivot Tables”, Moodle Research Conference, Heraklion-Crete-Greece.
  • Iqbal, M. and Kazmi, S. H. (2018) “A Study of Big Data for Business Growth in SMEs: Opportunities & Challenges”, iCoMET 2018.Sukkur-Pakistan.
  • J.Mazzeia, M., and David Nobleb. (2017) “Big Data Dreams: A Framework For Corporate Strategy”, Business Horizons; 60(3), 405-414.
  • Jin, X., B. W., Cheng, X., and Wang, Y. (2015) “Significance and Challenges of Big Data Research”, Big Data Research; 2(2): 59-64.
  • Kaisler, S., Armour, F., Espinosa, J. A., and Money, W. (2013) “Big Data: Issues and Challenges Moving Forward”, 46th International Conference on System Sciences, IEEE, Hawaii-USA.
  • Karim, S., Al-Tawara, A., Gide, E. and Sandu, R. (2017) “Is Big Data Too Big for SMEs in Jordan?”, 8th International Conference on Information Technology (ICIT), IEEE, Amman.
  • Khan, N., Yaqoob, I., Hashem, I. A., and Inayat, Z. (2018) “Big Data technologies: A survey”, The Scientific World Journal, 30(4): 431-448.
  • Kumar, R., Parashar, B. B. and Gupta, S. (2014) “Apache Hadoop, NoSQL and NewSQL Solutions of Big Data”, IJAFRSE,10(33): 28-37.
  • Laney, D. (2022) “3D Data Management: Controlling Data Volume, Velocity, and Variety”, https://studylib.net/doc/8647594/3d-data-management--controlling-data-volume--velocity--an.
  • Lydia, D., Laxmi, M. V., and Swarup, D. M. (2016) “A Literature Inspection on Big Data Analytics”, IJIREM, 3(5): 422-431.
  • Massa, S. and Testa, S. (2009) “A Knowledge Management Approach To Organizational Competitive Advantage: Evidence From the Food Sector”, ESCP-EAP, 27(2):129-141.
  • McAfee, A. and Brynjolfsson, E. (2022) “Big Data:The Management Revolution”, http://tarjomefa.com:http://tarjomefa.com/wp-content/uploads/2017/04/6539-English-TarjomeFa-1.pdf.
  • McGuire, T. (2013) “Data Analytics: Three Key Challenges”, https://www.mckinsey.com/: https://www.mckinsey.com/~/media/mckinsey/business%20functions/mckinsey%20digital/our%20insights/making%20data%20analytics%20work/advanced%20analytics%20transcripts_final_new.pdf?shouldIndex=false. (2013.10.10).
  • Oracle. (2022) “Top Big Data Analytics Use Cases”, New York, Oracle.
  • Polkowski, Z. and Nycz, M. (2016) “Big Data Applications In SMES”, Scientific Bulletin – Economic Sciences;(15): 1-16.
  • Saatçioğu, Ö. Y. (2020) “Lojistik Bilişim Sistemlerinde Güncel Konular”, Eskişehir, Anadolu Üniversitesi Yayınları.
  • Sagiroglu, S. and Sinanç, D. (2013) “Big Data: A Review”, IEEE ,San Diego.
  • SAS (2022) “Big DATA”, https://www.sas.com/en_th/insights/big-data/what-is-big-data.html (2022, 5 30).
  • Sen, D., Ozturk, M. and Vayvay, O. (2016) “An Overview of Big Data for Growth in SMEs”, Procedia, 235:159-167 Shah, S., Soriano, C. B., and Coutroubis, A. (2017) “Is Big Data for Everyone? The Challenges of Big Data Adoption in SMEs. Is Big Data For Everyone? The Challenges of Big Data Adoption In SMEs”, IEEE: ( 803-808).
  • Singh, A. and Singh, P. (2012) “Synchronous Overloaded System for the Uplink of Cellular CDMA With Unequal Chip Delay Spreading (UCDS)”, 2012 International Conference on Communication, Information & Computing Technology, IEEE, Mumbai-India
  • Sorokaa, A., Liub, Y., Hanc, L. and Haleemc, M. S. (2017) “Big Data Driven Customer Insights for SMEs in Redistributed Manufacturing”, Procedia CIRP, 63: 692 – 697.
  • Subaşı, M. O. (2017) “Bir Araştırma Yöntemi Olarak Durum Çalışması”, Atatürk Üniversitesi SBE Dergisi, 21(2): 419-426.
  • Targio, I. A., VictorChangb, H., BadrulAnuara, N. and KayodeAdewole. (2016) “The Role of Big Data In Smart City”, International Journal of Information Managemen,;36(5) :748-758.
  • Targio, I. A., YaqoobaNor, I. and Anuara, N. B. (2015) “The Rise of “Big Data” on Cloud Computing: Review and Open Research Issues”, Information Systems; 47(1): 98-115.
  • Thompson, P., Williams, R., and Thomas, B. (2014) “Are UK Smes With Active Web Sites More Likely To Achieve Both Innovation and Growth?”, JSBED, 20(4): 934-965.
  • Vaccari, C. (2014) “Big Data in Official Statistics”, PHD Thesis, University of Camrino.
  • Vecchio, P. D., Minin, A. D., and Petruzzelli, A. M. (2018) “Big Data For Open Innovation in SMEs and Large Corporations: Trends, Opportunities and Challenges”, Creativity End Innovation Management, 27(1): 6-22.
  • Wang, S. and Wang, H. (2018) “Big Data For Small and Medium-sized Enterprises (SME): a Knowledge Management Model”, Journal Of Knowledge Management, 24(4): 881-894.
  • Wee, J. C., and Chua, A. Y. (2013) “The Peculiarities Of Knowledge Management Processes in SMEs: The Case of Singapore”, Journal Of Knowledge Management, 17(6): 958-972.
  • Wibowo, S., Suryana, Y., Sari, D., and Kaltum, U. (2021) “Value Creation With Big Data in Marketing: An Empirical Evidence on SMEs”, Asian Journal of Business and Accounting, 14(2): 173-198.
  • Wolff, J. G. (2014) “Big Data and the SP Theory of Intelligence”, IEEE Acesss, 2: 01-316.
  • Xiang, G. and Fang, W. (2017) “The Research of Data Integration and Business Intelligent Based on Drilling Big Data”, ICIME, Barcelona.
  • Yaqooba, I., Hashema, I. A., Gania, A. and Mokhtar, S. (2016) “Big Data: From Beginning to Future”, International Journal of Information Management, 36(6): 1231-1247.
  • Zhou, H. (2021) “Pivot Table Data Analysis”, West Hartford: A press.

SMALL TO MEDIUM‐SIZED ENTERPRISES DATA PERCEPTION AND APPLICATIONS

Year 2024, Volume: 22 Issue: 1, 154 - 170, 28.03.2024
https://doi.org/10.11611/yead.1410770

Abstract

In all sectors where digital elements and tools are becoming more and more widespread, it has contributed to the formation of large volumes of data due to the increase in the data flow rate regarding company processes. These data-related developments have contributed to the fact that small and medium-sized enterprises (SMEs) are seen as an important resource by processing and making sense of data. Data capital can enable SME businesses become aware of things by showing correlations, risks, and opportunities that they weren't aware of before. In this study, it aimed to evaluate the knowledge, technological infrastructure, precautions and data perceptions of SMEs for big data applications in the future. In order to find out the above-mentioned elements, a survey analysis study was carried out comprising the company managers in the scope of the selected samples. By using explanatory and confirmatory statistical criteria, this study presents to companies, particularly SMEs, the business opportunities and policy recommendations hidden amongst big data.

References

  • Ahmed Oussousa F.(2018) “Big Data Technologies: A Survey”, Journal of King Saud University - Computer and Information Sciences; 30(4): 431-448.
  • AishaSiddiqaab, Hashem, I. A., and Yaqoob, İ. (2016) “A Survey of Big Data Management: Taxonomy And State-Of-The-Art”, Journal of Network and Computer Applications;71(1): 151-166.
  • Al-sal, Z. A., Abdullah, R., and Husin, M. H. (2020) “Critical Success Factors For Big Data: A Systematic Literature Review”, IEEE Access, 118940-118957.
  • Anshari, M., Alas, Y. and Lim, S. G. (2016) “Developing Online Learning Resources: Big data, Social Networks, And Cloud Computing To Support Pervasive Knowledge”, Education and Information Technologies , 21 (6): 1663-1677.
  • Arıkan, R. (2018) “Anket Yöntemi Üzerinde Bir Değerlendirme”, Haliç Üniversitesi Sosyal Bilimler Dergisi,1(1): 97-159.
  • Aycı, A. (2022) “Faaliyetlerinde Kullanılabilirliğine Yönelik Bir Araştırma: Türkiye’de Kolay İhracat Platformu ve İşletme Değerlendirme Raporu Örneği”, ÖHD Üniversitesi İ.İ.B.F Dergisi, 15(3):523-537.
  • Bakshi, K. (2012) “Considerations For Big Data: Architecture and Approach”, IEEE , Mountain Village-Colorado.
  • Chen, H., Chian, R. H. and Stor, V. C. (2012) “Business Intelligence and Analytics: From Big Data to Big Impact”, MIS Quarterly, 36(4): 1165-1188.
  • Chmiliar, L. (2013) “Multiple-Case Designs”, Encyclopedia of Case Study Research: Oaks: Sage 582-583. Chuah, M. H. and Thurusamry, R. (2021) “Challenges Of Big Data Adoption In Malaysia Smes Based On Lessig’s Modalities: A Systematic Review”, Cogent Business & Management , 8: 1-8.
  • Coleman, S., Göb, R. and Manco, G. (2008) “How Can SMEs Benefit from Big Data? Challenges and a Path Forward”, Quality and Reliability, 32(6): 2151-2164.
  • Couper, M. P. (2017) “New Developments in Survey Data Collection”, Annual Reviews, 43:121-145.
  • Davenport, T. H. and Dyché, J. (2013) “Big Data in Big Companies”, Portland: Institute, 1-31.
  • Delloite. (2020) “Doing Business In The Digital Age”, https://ec.europa.eu › renditions › native (05.04.2020).
  • Gonzales, R., Wareham, J. and Serida, J. (2015) “Measuring the Impact of Data Warehouse and Business Intelligence on Enterprise Performance in Peru: A Developing Country”, Journal of Global Information Technology Management, 18(3): 162-187.
  • Güven, A., Bozkurt, Ö. and Kalıpsız, O. (2007) “Veri Madenciliğinin Geleceği”, IX. Akademik Bilişim, Dumlupınar Üniversitesi -Kütahya.
  • Harrison, G. (2015) “Next Generation Databases”, New York, Appress.
  • Helena D. and Merceron, A. (2012) “Learning Analytics with Excel Pivot Tables”, Moodle Research Conference, Heraklion-Crete-Greece.
  • Iqbal, M. and Kazmi, S. H. (2018) “A Study of Big Data for Business Growth in SMEs: Opportunities & Challenges”, iCoMET 2018.Sukkur-Pakistan.
  • J.Mazzeia, M., and David Nobleb. (2017) “Big Data Dreams: A Framework For Corporate Strategy”, Business Horizons; 60(3), 405-414.
  • Jin, X., B. W., Cheng, X., and Wang, Y. (2015) “Significance and Challenges of Big Data Research”, Big Data Research; 2(2): 59-64.
  • Kaisler, S., Armour, F., Espinosa, J. A., and Money, W. (2013) “Big Data: Issues and Challenges Moving Forward”, 46th International Conference on System Sciences, IEEE, Hawaii-USA.
  • Karim, S., Al-Tawara, A., Gide, E. and Sandu, R. (2017) “Is Big Data Too Big for SMEs in Jordan?”, 8th International Conference on Information Technology (ICIT), IEEE, Amman.
  • Khan, N., Yaqoob, I., Hashem, I. A., and Inayat, Z. (2018) “Big Data technologies: A survey”, The Scientific World Journal, 30(4): 431-448.
  • Kumar, R., Parashar, B. B. and Gupta, S. (2014) “Apache Hadoop, NoSQL and NewSQL Solutions of Big Data”, IJAFRSE,10(33): 28-37.
  • Laney, D. (2022) “3D Data Management: Controlling Data Volume, Velocity, and Variety”, https://studylib.net/doc/8647594/3d-data-management--controlling-data-volume--velocity--an.
  • Lydia, D., Laxmi, M. V., and Swarup, D. M. (2016) “A Literature Inspection on Big Data Analytics”, IJIREM, 3(5): 422-431.
  • Massa, S. and Testa, S. (2009) “A Knowledge Management Approach To Organizational Competitive Advantage: Evidence From the Food Sector”, ESCP-EAP, 27(2):129-141.
  • McAfee, A. and Brynjolfsson, E. (2022) “Big Data:The Management Revolution”, http://tarjomefa.com:http://tarjomefa.com/wp-content/uploads/2017/04/6539-English-TarjomeFa-1.pdf.
  • McGuire, T. (2013) “Data Analytics: Three Key Challenges”, https://www.mckinsey.com/: https://www.mckinsey.com/~/media/mckinsey/business%20functions/mckinsey%20digital/our%20insights/making%20data%20analytics%20work/advanced%20analytics%20transcripts_final_new.pdf?shouldIndex=false. (2013.10.10).
  • Oracle. (2022) “Top Big Data Analytics Use Cases”, New York, Oracle.
  • Polkowski, Z. and Nycz, M. (2016) “Big Data Applications In SMES”, Scientific Bulletin – Economic Sciences;(15): 1-16.
  • Saatçioğu, Ö. Y. (2020) “Lojistik Bilişim Sistemlerinde Güncel Konular”, Eskişehir, Anadolu Üniversitesi Yayınları.
  • Sagiroglu, S. and Sinanç, D. (2013) “Big Data: A Review”, IEEE ,San Diego.
  • SAS (2022) “Big DATA”, https://www.sas.com/en_th/insights/big-data/what-is-big-data.html (2022, 5 30).
  • Sen, D., Ozturk, M. and Vayvay, O. (2016) “An Overview of Big Data for Growth in SMEs”, Procedia, 235:159-167 Shah, S., Soriano, C. B., and Coutroubis, A. (2017) “Is Big Data for Everyone? The Challenges of Big Data Adoption in SMEs. Is Big Data For Everyone? The Challenges of Big Data Adoption In SMEs”, IEEE: ( 803-808).
  • Singh, A. and Singh, P. (2012) “Synchronous Overloaded System for the Uplink of Cellular CDMA With Unequal Chip Delay Spreading (UCDS)”, 2012 International Conference on Communication, Information & Computing Technology, IEEE, Mumbai-India
  • Sorokaa, A., Liub, Y., Hanc, L. and Haleemc, M. S. (2017) “Big Data Driven Customer Insights for SMEs in Redistributed Manufacturing”, Procedia CIRP, 63: 692 – 697.
  • Subaşı, M. O. (2017) “Bir Araştırma Yöntemi Olarak Durum Çalışması”, Atatürk Üniversitesi SBE Dergisi, 21(2): 419-426.
  • Targio, I. A., VictorChangb, H., BadrulAnuara, N. and KayodeAdewole. (2016) “The Role of Big Data In Smart City”, International Journal of Information Managemen,;36(5) :748-758.
  • Targio, I. A., YaqoobaNor, I. and Anuara, N. B. (2015) “The Rise of “Big Data” on Cloud Computing: Review and Open Research Issues”, Information Systems; 47(1): 98-115.
  • Thompson, P., Williams, R., and Thomas, B. (2014) “Are UK Smes With Active Web Sites More Likely To Achieve Both Innovation and Growth?”, JSBED, 20(4): 934-965.
  • Vaccari, C. (2014) “Big Data in Official Statistics”, PHD Thesis, University of Camrino.
  • Vecchio, P. D., Minin, A. D., and Petruzzelli, A. M. (2018) “Big Data For Open Innovation in SMEs and Large Corporations: Trends, Opportunities and Challenges”, Creativity End Innovation Management, 27(1): 6-22.
  • Wang, S. and Wang, H. (2018) “Big Data For Small and Medium-sized Enterprises (SME): a Knowledge Management Model”, Journal Of Knowledge Management, 24(4): 881-894.
  • Wee, J. C., and Chua, A. Y. (2013) “The Peculiarities Of Knowledge Management Processes in SMEs: The Case of Singapore”, Journal Of Knowledge Management, 17(6): 958-972.
  • Wibowo, S., Suryana, Y., Sari, D., and Kaltum, U. (2021) “Value Creation With Big Data in Marketing: An Empirical Evidence on SMEs”, Asian Journal of Business and Accounting, 14(2): 173-198.
  • Wolff, J. G. (2014) “Big Data and the SP Theory of Intelligence”, IEEE Acesss, 2: 01-316.
  • Xiang, G. and Fang, W. (2017) “The Research of Data Integration and Business Intelligent Based on Drilling Big Data”, ICIME, Barcelona.
  • Yaqooba, I., Hashema, I. A., Gania, A. and Mokhtar, S. (2016) “Big Data: From Beginning to Future”, International Journal of Information Management, 36(6): 1231-1247.
  • Zhou, H. (2021) “Pivot Table Data Analysis”, West Hartford: A press.
There are 50 citations in total.

Details

Primary Language English
Subjects Policy and Administration (Other)
Journal Section Articles
Authors

Cemal Çelik 0000-0002-4027-3789

Early Pub Date March 28, 2024
Publication Date March 28, 2024
Submission Date December 27, 2023
Acceptance Date January 30, 2024
Published in Issue Year 2024 Volume: 22 Issue: 1

Cite

APA Çelik, C. (2024). SMALL TO MEDIUM‐SIZED ENTERPRISES DATA PERCEPTION AND APPLICATIONS. Yönetim Ve Ekonomi Araştırmaları Dergisi, 22(1), 154-170. https://doi.org/10.11611/yead.1410770
AMA Çelik C. SMALL TO MEDIUM‐SIZED ENTERPRISES DATA PERCEPTION AND APPLICATIONS. Yönetim ve Ekonomi Araştırmaları Dergisi. March 2024;22(1):154-170. doi:10.11611/yead.1410770
Chicago Çelik, Cemal. “SMALL TO MEDIUM‐SIZED ENTERPRISES DATA PERCEPTION AND APPLICATIONS”. Yönetim Ve Ekonomi Araştırmaları Dergisi 22, no. 1 (March 2024): 154-70. https://doi.org/10.11611/yead.1410770.
EndNote Çelik C (March 1, 2024) SMALL TO MEDIUM‐SIZED ENTERPRISES DATA PERCEPTION AND APPLICATIONS. Yönetim ve Ekonomi Araştırmaları Dergisi 22 1 154–170.
IEEE C. Çelik, “SMALL TO MEDIUM‐SIZED ENTERPRISES DATA PERCEPTION AND APPLICATIONS”, Yönetim ve Ekonomi Araştırmaları Dergisi, vol. 22, no. 1, pp. 154–170, 2024, doi: 10.11611/yead.1410770.
ISNAD Çelik, Cemal. “SMALL TO MEDIUM‐SIZED ENTERPRISES DATA PERCEPTION AND APPLICATIONS”. Yönetim ve Ekonomi Araştırmaları Dergisi 22/1 (March 2024), 154-170. https://doi.org/10.11611/yead.1410770.
JAMA Çelik C. SMALL TO MEDIUM‐SIZED ENTERPRISES DATA PERCEPTION AND APPLICATIONS. Yönetim ve Ekonomi Araştırmaları Dergisi. 2024;22:154–170.
MLA Çelik, Cemal. “SMALL TO MEDIUM‐SIZED ENTERPRISES DATA PERCEPTION AND APPLICATIONS”. Yönetim Ve Ekonomi Araştırmaları Dergisi, vol. 22, no. 1, 2024, pp. 154-70, doi:10.11611/yead.1410770.
Vancouver Çelik C. SMALL TO MEDIUM‐SIZED ENTERPRISES DATA PERCEPTION AND APPLICATIONS. Yönetim ve Ekonomi Araştırmaları Dergisi. 2024;22(1):154-70.