Citation:

Thi-Mai Le, My Pham Ngoc Ha, Bao-Trung Phan. "Factors Affecting to Manager’s Intention of the Applying Big Data Analytics" International Research Journal of Economics and Management Studies, Vol. 2, No. 2, pp. 231-243, 2023.

Abstract:

The purpose of this study was to identify the variables that influence a manager's decision to look for and implement Big Data Analytics (BDA) into their business model. The information was gathered utilizing questionnaires with a sample size of 100 business managers. Online research and interviews were conducted in addition to the questionnaire. The participants were asked to give their point of view on factors that decide whether they will apply BDA such as (1) Ability, (2) Motivation, (3)Opportunity, (4)Challenge, (5)Behavioral Intention. The research found that motivation, and opportunity are strongly correlated. The challenges factor has a negative correlation with the factors Ability, Motivation, and Opportunity. However, it has been negligible with the Behavior Intention. For the dependent variable (behavioral intention), it also is strongly correlated with the variables A, M, O. Prove that the factors Ability, Motivation, and Opportunity have an influence and impact on the application of Big Data for Business.

References:

[1] Akter, S., & Wamba, S. F. . (2016). Big data analytics in E-commerce: a systematic review and agenda for future research. . Electronic Markets, 26(2), 173-194.
[2] Baranowski, T., Smith, M., Baranowski, J., Wang, D. T., Doyle, C., Lin, L. S., ... & Resnicow, K. . (1997). Low validity of a seven-item fruit and vegetable food frequency questionnaire among third-grade students. Journal of the American Dietetic Association, 97(1), 66-68.
[3] Beal, V. ( https://www.webopedia.com/TERM/B/big_data.html)
[4] Brinkhues, R., Freitas Junior, J. C., & Maçada, A. C. . (2015). Information management capability as competitive imperfection in the strategic factor market of big data.
[5] Columbus, L. (2014). Of Enterprises See Big Data Analytics Changing Their Industries' Competitive Landscapes In The Next Year. In Forbes.
[6] data, T. n. k. ứ. d. c. n. b. (2019). https://ifactory.com.vn/tro-ngai-khi-ung-dung-cong-nghe-big-data/.
[7] Duy, B. (2019). Big Data vital for AI development: MOST. Retrieved 25 April 2020, from https://vietnamnews.vn/economy/534965/big-data-vital-for-aidevelopment-most.html
[8] Esteves, J., & Curto, J. . (2013). A risk and benefits behavioral model to assess intentions to adopt big data. . In Proceedings of the 10th International Conference on Intellectual Capital, Knowledge Management and Organisational Learning.
[9] Featherman, M. S., & Pavlou, P. A. (2003). . (2003). Predicting e-services adoption: a perceived risk facets perspective. International journal of humancomputer studies, 59(4), 451-474.
[10] Galetto, M. (2016). NGDATA | What is Big Data Analytics? Learn About Tools and Trends. https://www.ngdata.com/what-is-big-data-analytics/.
[11] Grossman, R. S., Kevin. . (2014). Organizational Models for Big Data and Analytics. Journal of Organizational Design. 3. 20-25. 10.7146/jod.9799.
[12] Guojun Wang, C. s. I. R. J. M. A. C. S. M. T. (2016.). Security, privacy, and anonymity in computation, communication, and storage.
[13] Hofmann, E., & Rutschmann, E. (2018). . (2018). Big data analytics and demand forecasting in supply chains: a conceptual analysis. The international journal of logistics management.
[14] Izhar, T. A. T., & Shoid, M. M. (2016). A Research Framework on Big Data awareness and Success Factors toward the Implication of Knowledge Management: Critical Review and Theoretical Extension. . nternational Journal of Academic Research in Business and Social Sciences, 6(4), 325-338.
[15] Jetzek, T., Avital, M., & Bjorn-Andersen, N. . (2014). Data-driven innovation through open government data. Journal of theoretical and applied electronic commerce research, 9(2), 100-120.
[16] Johnson, J. S., & Sohi, R. S. . (2017). Getting business-to-business salespeople to implement strategies associated with introducing new products and services. Industrial Marketing Management, 62, 137-149.
[17] Khanh, A. (2019). Vietnam on the verge of digital transformation. Retrieved 25 April 2020, from https://en.nhandan.com.vn/scitech/item/7409402- vietnam-on-the-verge-of-digital-transformation.html.
[18] Kim, H. W., & Kankanhalli, A. (2009). . (2009). Investigating user resistance to information systems implementation: A status quo bias perspective. MIS quarterly, 567-582.
[19] Nunnally, J. C. (1994). Psychometric theory 3E. Tata McGraw-Hill Education.
[20] Palmatier, R. W., & Martin, K. D. (2019). (2019). Understanding and valuing customer data. . In The Intelligent Marketer’s Guide to Data Privacy (pp. 133-151). Palgrave Macmillan, Cham.
[21] Roßmann, B., Canzaniello, A., von der Gracht, H., & Hartmann, E. (2018). . (2018). The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study. Technological Forecasting and Social Change, 130, 135-149.
[22] Sun, Z., Sun, L., & Strang, K. (2018). . (2018). Big data analytics services for enhancing business intelligence. . Journal of Computer Information Systems, 58(2), 162-169.
[23] Tabachnick, B. G., & Fidell, L. S. (1996). Using multivariate statistics. Northridge. Cal.: Harper Collins.
[24] Terho, H., Eggert, A., Ulaga, W., Haas, A., & Böhm, E. . (2017). Selling value in business markets: Individual and organizational factors for turning the idea into action. Industrial Marketing Management, 66, 42-55.
[25] ThØgersen, J. (1995). Understanding of consumer behaviour as a prerequisite for environmental protection. Journal of consumer policy, 18(4), 345-385.
[26] Trà, M. (2020). https://zingnews.vn/doanh-thu-viettel-telecom-tang-them-3-trieu-usdthang-nho-big-data-post1038340.html.
[27] Trần, H. (2019). Kỹ sư dữ liệu FPT: ‘Big Data không phải là công nghệ’. https://chungta.vn/cong-nghe/ky-su-du-lieu-fpt-big-data-khong-phai-la-congnghe-1126369.html.
[28] Venkatesh, V., & Davis, F. D. . (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
[29] Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). . ( 2003). User acceptance of information technology: Toward a unified view. . MIS quarterly, 425-478.
[30] Wamba, S. F., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. . (2015). How ‘big data’can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165, 234-246.
[31] Wang, J., & Zhang, J. (2016). . (2016). Big data analytics for forecasting cycle time in semiconductor wafer fabrication system. International Journal of Production Research, 54(23), 7231-7244.
[32] Watson, H. J. (2019). Update tutorial: Big Data analytics: Concepts, technology, and applications. Communications of the Association for Information Systems, 44(1), 364-379.
[33] Wedel, M., & Kannan, P. K. . (2016). Marketing analytics for data-rich environments. Journal of Marketing, 80(6), 97-121.
[34] Zeithaml, V. A., Berry, L. L., & Parasuraman, A. . (1996). The behavioral consequences of service quality. Journal of marketing, 60(2), 31-46.

Keywords:

Applying BDA, Ability, Motivation, Opportunity, Motivation, Opportunity, Challenge, Behavioral Intention.