Business Analytics and Market Adaptation in the E-Commerce Industry in Nigeria

Authors

  • Ladi Daodu Mr
  • Amiya Bhaumik
  • Akinola Morakinyo

Abstract

The study examined the impact of business analytics on market adaptation in the eCommerce industry in Nigeria. Using purposive sampling and random sampling techniques, a sample of 40 respondents from various eCommerce organizations was taken. The data collected were analyzed using the quantitative approach. Precisely, both correlation and ordinal regression analyses were applied. The result from the study shows that the most important aspect of business analytics that can have a significant impact on market adaptation is the area of data analysis and application of the result to decision-making in the organization. The study recommends the application of business analytics to eCommerce businesses if they want to improve their market adaptation.

References

Akpa, Victoria O., Asikhia, Olalekan U., & Okusanya, Adedoyin, O. (2021). Leadership Styles and Organisational Performance in Nigeria: Qualitative Perspective. International Journal of Engineering and Management Research, 11(1), 46–53. https://doi.org/10.31033/ijemr.11.1.7

Akter, S., Gunasekaran, A., Wamba, S. F., Babu, M. M., & Hani, U. (2020). Reshaping competitive advantages with analytics capabilities in service systems. Technological Forecasting and Social Change, 159(May 2019), 120180. https://doi.org/10.1016/j.techfore.2020.120180

Akter, S., Motamarri, S., Hani, U., Shams, R., Fernando, M., Mohiuddin Babu, M., & Ning Shen, K. (2020). Building dynamic service analytics capabilities for the digital marketplace. Journal of Business Research, 118(May), 177–188. https://doi.org/10.1016/j.jbusres.2020.06.016

Baden-Fuller, C., & Teece, D. J. (2020). Market sensing, dynamic capability, and competitive dynamics. Industrial Marketing Management, 89(November), 105–106. https://doi.org/10.1016/j.indmarman.2019.11.008

Balog, K. (2019). AGILE ORGANIZATIONS AND SUSTAINABILITY. 111–121.

Barlette, Y., & Baillette, P. (2020). Big data analytics in turbulent contexts: towards organizational change for enhanced agility. Production Planning and Control, 0(0), 1–18. https://doi.org/10.1080/09537287.2020.1810755

Bradberry, C., Ray, A., Wayman, M., Dhami, J., Charnock, J., & Pittges, J. (2017). Explaining and Predicting First Year Student Retention via Card Swipe Systems.

Chatterjee, S., Rana, N. P., & Dwivedi, Y. K. (2021). How does business analytics contribute to organisational performance and business value? A resource-based view. Information Technology and People, 0–33. https://doi.org/10.1108/ITP-08-2020-0603

Chaudhuri, R., Chatterjee, S., Vrontis, D., & Thrassou, A. (2021). Adoption of robust business analytics for product innovation and organizational performance: the mediating role of organizational data-driven culture. Annals of Operations Research, January 2022. https://doi.org/10.1007/s10479-021-04407-3

Chen, C. W. D., & Cheng, C. Y. J. (2009). Understanding consumer intention in online shopping: A respecification and validation of the DeLone and McLean model. Behaviour and Information Technology, 28(4), 335–345. https://doi.org/10.1080/01449290701850111

Cirera, X., & Muzi, S. (2020). Measuring innovation using firm-level surveys: Evidence from developing countries✰. Research Policy, 49(3), 103912. https://doi.org/10.1016/j.respol.2019.103912

Côrte-Real, N., Oliveira, T., & Ruivo, P. (2017). Assessing business value of Big Data Analytics in European firms. Journal of Business Research, 70, 379–390. https://doi.org/10.1016/j.jbusres.2016.08.011

De Luca, L. M., Herhausen, D., Troilo, G., & Rossi, A. (2020). How and when do big data investments pay off? The role of marketing affordances and service innovation. Journal of the Academy of Marketing Science. https://doi.org/10.1007/s11747-020-00739-x

Dombrowski, U., Krenkel, P., & Ebentreich, D. (2014). Adaptability within a multi-variant serial production. Procedia CIRP, 17, 124–129. https://doi.org/10.1016/j.procir.2014.01.047

Duan, Y., Cao, G., & Edwards, J. S. (2020). Understanding the impact of business analytics on innovation. In European Journal of Operational Research (Vol. 281, Issue 3). Elsevier B.V. https://doi.org/10.1016/j.ejor.2018.06.021

Dubey, R., Gunasekaran, A., Childe, S. J., Wamba, S. F., & Papadopoulos, T. (2016). The impact of big data on world-class sustainable manufacturing. International Journal of Advanced Manufacturing Technology, 84(1–4), 631–645. https://doi.org/10.1007/s00170-015-7674-1

Ekka, S. (2020). Big Data Analytics Tools and Applications for Modern Business World. Icesc, 587–592.

Enyinna, U. K., & C, N. N. (2020). Transatlantic Journal of Multidisciplinary Research. 2(1), 57–80. https://doi.org/10.5281/zenodo.3948156

Fosso Wamba, S., 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. https://doi.org/10.1016/j.ijpe.2014.12.031

Fosso Wamba, S., Queiroz, M. M., Wu, L., & Sivarajah, U. (2020). Big data analytics-enabled sensing capability and organizational outcomes: assessing the mediating effects of business analytics culture. Annals of Operations Research. https://doi.org/10.1007/s10479-020-03812-4

Gao, Y. (2021). Big Data Analysis on E-commerce Platform. Proceedings of the 2021 International Conference on Economic Development and Business Culture (ICEDBC 2021), 182(Icedbc), 191–195. https://doi.org/10.2991/aebmr.k.210712.031

Gaur, L., Singh, G., Jeyta, & Kumar, S. (2016). GOOGLE ANALYTICS: A Tool to make websites more Robust. ACM International Conference Proceeding Series, 04-05-March-2016(March). https://doi.org/10.1145/2905055.2905251

George, G., & Lin, Y. (2017). Institutional Knowledge at Singapore Management University Analytics , innovation , and organizational adaptation. 16–22.

Helfat, C. E., & Peteraf, M. A. (2009). Understanding dynamic capabilities: Progress along a developmental path. Strategic Organization, 7(1), 91–102. https://doi.org/10.1177/1476127008100133

Hindle, G. A., & Vidgen, R. (2018). Developing a business analytics methodology: A case study in the foodbank sector. European Journal of Operational Research, 268(3), 836–851. https://doi.org/10.1016/j.ejor.2017.06.031

Hindle, G., Kunc, M., Mortensen, M., Oztekin, A., & Vidgen, R. (2020). Business analytics: Defining the field and identifying a research agenda. European Journal of Operational Research, 281(3), 483–490. https://doi.org/10.1016/j.ejor.2019.10.001

Hoang, G. T., Luu, T. T., Nguyen, T. T., Le, L. P., & Pham, N. T. (2021). Entrepreneurial Leadership and Product Innovation in Construction SMEs. Academy of Management Proceedings, 2021(1), 10361.

Işik, Ö., Jones, M. C., & Sidorova, A. (2013). Business intelligence success: The roles of BI capabilities and decision environments. Information and Management, 50(1), 13–23. https://doi.org/10.1016/j.im.2012.12.001

Jahan, S., Alrajawy, I., Abid, S., & Martin, P. (2021). Analysing the Impact of Globalisation on Business Performance: Case of Uae Food Industry. International Journal for Quality Research, 15(2), 665–678. https://doi.org/10.24874/IJQR15.02-19

Jeble, S., Dubey, R., Childe, S. J., Papadopoulos, T., Roubaud, D., & Prakash, A. (2018). Impact of big data and predictive analytics capability on supply chain sustainability. The International Journal of Logistics Management.

Kiron, D., Prentice, P. K., & Ferguson, R. B. (2012). Innovating with analytics. MIT Sloan Management Review, 54(1), 47.

Krishnamoorthi, S., & Mathew, S. K. (2018). Business analytics and business value: A comparative case study. Information and Management, 55(5), 643–666. https://doi.org/10.1016/j.im.2018.01.005

Levinthal, D. A. (1991). Organizational adaptation and environmental selection-interrelated processes of change. Organization science (pp. 2(1), 140-145.).

Motamarri, S., Akter, S., & Yanamandram, V. (2017). Does big data analytics influence frontline employees in services marketing? Business Process Management Journal, 23(3), 623–644. https://doi.org/10.1108/BPMJ-12-2015-0182

Mou, J., Cui, Y., & Kurcz, K. (2020). Trust, risk and alternative website quality in B-buyer acceptance of cross-border e-commerce. Journal of Global Information Management, 28(1), 167–188. https://doi.org/10.4018/JGIM.2020010109

Muthukumar, T. (2020). Business Analytics: Current State & Challenges. Indian Journal of Scientific Research, 10(2), 143. https://doi.org/10.32606/ijsr.v10.i2.00022

Nalchigar, S., & Yu, E. (2020). Designing Business Analytics Solutions. Business & Information Systems Engineering, 62(1), 61–75. https://doi.org/10.1007/s12599-018-0555-z

Newey, L. R., & Zahra, S. A. (2009). The evolving firm: how dynamic and operating capabilities interact to enable entrepreneurship. British Journal of Management, 20, S81–S100.

Odularu, G. (2020). Strategic policy options for bracing Nigeria for the future of trade. In Strategic Policy Options for Bracing Nigeria for the Future of Trade. https://doi.org/10.1007/978-3-030-34552-5

Olagunju, T., Oyebode, O., & Orji, R. (2020). Exploring Key Issues Affecting African Mobile eCommerce Applications Using Sentiment and Thematic Analysis. IEEE Access, 8, 114475–114486. https://doi.org/10.1109/ACCESS.2020.3000093

Pappas, I. O., Mikalef, P., Giannakos, M. N., Krogstie, J., & Lekakos, G. (2018). Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies. Information Systems and E-Business Management, 16(3), 479–491. https://doi.org/10.1007/s10257-018-0377-z

Pollák, F., Konečný, M., & Ščeulovs, D. (2021). Innovations in the Management of E-Commerce: Analysis of Customer Interactions during the COVID-19 Pandemic. Sustainability, 13(14), 7986. https://doi.org/10.3390/su13147986

Quang Trung, D., Yoke Beng, A. N., & Bhaumik, A. (2019). The environmental dynamism, dynamic capabilities and marketing innovation of fertiliser firms in Vietnam. International Journal of Innovation, Creativity and Change, 8(2), 116–128.

Rahmah, M., Ameen, A., Isaac, O., El, A.-E., Abu-Elhassan, S., & Khalifa, G. S. A. (2020). Effect of Organizational Innovation (Product Innovation, Process Innovation, and Administrative Innovation) On Organizational Learning. TEST Engineering & Management, 82(2), 12101–12113.

Rahmasari, A., & Syafitri, W. (2018). TRADITIONAL MARKET ADAPTATION SRATEGY IN ADDRESING. 63–67.

Ramadan, M., Shuqqo, H., Qtaishat, L., Asmar, H., & Salah, B. (2020). Sustainable competitive advantage driven by big data analytics and innovation. Applied Sciences (Switzerland), 10(19). https://doi.org/10.3390/app10196784

Rodgers, S., & Harris, M. A. (2003). Gender and E-commerce: An exploratory study. Journal of Advertising Research, 43(3), 322–329. https://doi.org/10.1017/S0021849903030307

Schaffner, M. (2020). Industry 4.0—Flexibility of Technical Infonomics by Knowledge Management. In German and Chinese Contributions to Digitalization (pp. 39–46). Springer.

Schildt, H. (2017). Big data and organizational design–the brave new world of algorithmic management and computer augmented transparency. Innovation: Management, Policy and Practice, 19(1), 23–30. https://doi.org/10.1080/14479338.2016.1252043

Seetharaman, P. (2020). Business models shifts: Impact of Covid-19. International Journal of Information Management, 54(June), 1–4. https://doi.org/10.1016/j.ijinfomgt.2020.102173

Shamim, S., Zeng, J., Khan, Z., & Zia, N. U. (2020). Big data analytics capability and decision making performance in emerging market firms: The role of contractual and relational governance mechanisms. Technological Forecasting and Social Change, 161(August), 120315. https://doi.org/10.1016/j.techfore.2020.120315

Sharma, N., Chakrabarti, A., & Balas, V. E. (2019). Data management, analytics and innovation. Proceedings of ICDMAI, 1.

Singh, A., & Pawale, M. S. (2020). Redesigning Strategies in a Turbulent Business Environment. Studies in Indian Place Names, 40(74), 1593–1601.

Singh, S., Weeber, M., Birke, K. P., & Sauer, A. (2020). Development and Utilization of a Framework for Data-Driven Life Cycle Management of Battery Cells. Procedia Manufacturing, 43(2019), 431–438. https://doi.org/10.1016/j.promfg.2020.02.191

Srinivas, S., Gill, A. Q., & Roach, T. (2020). Analytics-Enabled Adaptive Business Architecture Modeling. 23, 23–43.

Staegemann, D., Volk, M., Daase, C., & Turowski, K. (2020). Discussing Relations Between Dynamic Business Environments and Big Data Analytics. 23, 58–82.

Sun, Z., Sun, L., & Strang, K. (2018). Big Data Analytics Services for Enhancing Business Intelligence. Journal of Computer Information Systems, 58(2), 162–169. https://doi.org/10.1080/08874417.2016.1220239

Tim, Y., Hallikainen, P., Pan, S. L., & Tamm, T. (2020). Actualizing business analytics for organizational transformation: A case study of Rovio Entertainment. European Journal of Operational Research, 281(3), 642–655. https://doi.org/10.1016/j.ejor.2018.11.074

Van Den Bosch, F. A. J., Volberda, H. W., & De Boer, M. (1999). Coevolution of Firm Absorptive Capacity and Knowledge Environment: Organizational Forms and Combinative Capabilities. Organization Science, 10(5), 551–568. https://doi.org/10.1287/orsc.10.5.551

Vidgen, R., Hindle, G., & Randolph, I. (2020). Exploring the ethical implications of business analytics with a business ethics canvas. European Journal of Operational Research, 281(3), 491–501. https://doi.org/10.1016/j.ejor.2019.04.036

Vitari, C., & Raguseo, E. (2020). Big data analytics business value and firm performance: linking with environmental context. International Journal of Production Research, 58(18), 5456–5476. https://doi.org/10.1080/00207543.2019.1660822

Volkoff, O., & Strong, D. M. (2017). Affordance theory and how to use it in is research. The Routledge Companion to Management Information Systems, 232–246. https://doi.org/10.4324/9781315619361

Wu, L., Liu, H., & Su, K. (2020). Exploring the dual effect of effectuation on new product development speed and quality. Journal of Business Research, 106(135), 82–93. https://doi.org/10.1016/j.jbusres.2019.09.016

Yahya-Imam, M. K., & Aranuwa, F. O. (2020). An Empirical Study on Big Data Analytics: Challenges and Directions. In Intelligent Computing and Innovation on Data Science (pp. 669–677). Springer.

Yin, J., & Fernandez, V. (2020). A systematic review on business analytics. Journal of Industrial Engineering and Management, 13(2), 283–295. https://doi.org/10.3926/jiem.3030

Downloads

Published

2022-12-30

How to Cite

Daodu, L., Bhaumik, A., & Morakinyo, A. (2022). Business Analytics and Market Adaptation in the E-Commerce Industry in Nigeria. Acta Universitatis Danubius. Œconomica, 18(6). Retrieved from https://dj.univ-danubius.ro/index.php/AUDOE/article/view/1943

Issue

Section

Business Administration and Business Economics