Marketing Analytics Capability and ERP Systems Implementation: Theoretical Framework and Case Study
Keywords:
Marketing Analytics Capability Framework (MACF), Marketing analytics, ERP Consultancy, ERP Implementation Projects, Business Analytics, Big Data AnalyticsAbstract
ERP systems implementation through investment in marketing analytics capabilities (MACs) is imperative in Industry 4.0 age. The theoretical framework is developed and utilised for mapping the case study of a nationally well-renowned ERP consultancy strategic business unit (SBU) of FCL. The FCL uses marketing analytics capability for ERP projects’ implementation and consultancy around Pakistan. It is one of the few companies that have complete structure for SAP EPR solutions. The Marketing Analytics Capability Framework (MACF) for this case study is composed of Culture Capability (CC), Technology Capability (TC), and People Capability (PC), along with ERP implementation cycle. The team heads and experts, with notable experience, were interviewed, through operationalisation of non-probability purposive sampling. A holistic view of MACs for ERP implementation, through paradigm lens of big data business analytics (BDBA) is presented.
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Akter, S., Wamba, S. F., Gunasekaran, A., Dubey, R., & Childe, S. J. (2016). How to improve firm performance using big data analytics capability and business strategy alignment?. International Journal of Production Economics, 182, 113-131.
Amankwah-Amoah, J. (2016). Emerging economies, emerging challenges: Mobilising and capturing value from big data. Technological Forecasting and Social Change, 110, 167-174.
Ash, C. G., & Burn, J. M. (2003). A strategic framework for the management of ERP enabled e-business change. European journal of operational research, 146(2), 374-387.
Barker, T., & Frolick, M. N. (2003). ERP implementation failure: A case study. Information systems management, 20(4), 43-49.
Barua, A., Konana, P., Whinston, A. B., & Yin, F. (2004). An empirical investigation of net-enabled business value. MIS quarterly, 28(4), 585-620.
Bean, R. A. N. D. Y., & Kiron, D. (2013). Organizational alignment is key to big data success. MIT Sloan Management Review, 54(3), 1-6.
Bharadwaj, A. S. (2000). A resource-based perspective on information technology capability and firm performance: an empirical investigation. MIS quarterly, 169-196.
Bhatt, G. D., & Grover, V. (2005). Types of information technology capabilities and their role in competitive advantage: An empirical study. Journal of management information systems, 22(2), 253-277.
Bingi, P., Sharma, M. K., & Godla, J. K. (1999). Critical issues affecting an ERP implementation. IS Management, 16(3), 7-14.
Brantley, M. E., & Coleman, C. Y. (2001). Winning the technology talent war: A manager's guide to recruiting and retaining tech workers in a Dot-Com world. McGraw- Hill.
Burns, O. M., Turnipseed, D., & Riggs, W. E. (1991). Critical success factors in manufacturing resource planning implementation. International Journal of Operations & Production Management. 11(4), 5-19.
Cameron, P. D., & Meyer, S. L. (1998). Rapid ERP implementation-a contradiction?. Management Accounting (USA), 80(6), 58-61.
Chen, Y., Wang, Y., Nevo, S., Jin, J., Wang, L., & Chow, W. S. (2014). IT capability and organizational performance: the roles of business process agility and environmental factors. European Journal of Information Systems, 23(3), 326-342.
Cosic, R., Shanks, G., & Maynard, S. B. (2015). A business analytics capability framework. Australasian Journal of Information Systems, 19.
Davenport, T. H., & Harris, J. G. (2007). Competing on Analytics Harvard Business School Publishing Corporation.
Dubey, R., Gunasekaran, A., Childe, S. J., Papadopoulos, T., Luo, Z., Wamba, S. F., & Roubaud, D. (2019). Can big data and predictive analytics improve social and environmental sustainability?. Technological Forecasting and Social Change, 144, 534- 545.
Ducange, P., Pecori, R., & Mezzina, P. (2018). A glimpse on big data analytics in the framework of marketing strategies. Soft Computing, 22(1), 325-342.
Duff Jr, R. J., & Jain, M. (1998). CFO's guide to EDI: How can you control the new paperless environment?. Journal of Corporate Accounting & Finance, 10(1), 107-127.
Earl, M. J. (1994). The new and the old of business process redesign. The Journal of Strategic Information Systems, 3(1), 5-22.
Freeman, C., & Perez, C. (1988). Structural crises of adjustment, business cycles and investment behaviour. Technology, Organizations and Innovation: Theories, concepts and paradigms, 38-66.
Gardiner, S. C., Hanna, J. B., & LaTour, M. S. (2002). ERP and the reengineering of industrial marketing processes: A prescriptive overview for the new-age marketing manager. Industrial Marketing Management, 31(4), 357-365.
Germann, F., Lilien, G. L., Fiedler, L., & Kraus, M. (2014). Do retailers benefit from deploying customer analytics?. Journal of Retailing, 90(4), 587-593.
Guha, S., Grover, V., Kettinger, W. J., & Teng, J. T. (1997). Business process change and organizational performance: exploring an antecedent model. Journal of management information systems, 14(1), 119-154.
Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308-317.
Gupta, A. (2000). Enterprise resource planning: the emerging organizational value systems. Industrial Management & Data Systems, 100(3), 114-118.
Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049-1064.
Hagstrom, M. (2012). High-performance analytics fuels innovation and inclusive growth: Use big data, hyperconnectivity and speed to intelligence to get true value in the digital economy. Journal of Advanced Analytics, 2, 3-4.
Haleem, A. (2021). Big Data Usage Intentionusing Toe Framework: Sri Lankan Context. Journal of Contemporary Issues in Business and Government, 27(1), 454-471.
Harmon, R. R. (2002). Marketing Information Systems. Encyclopedia of Information Systems, 3, 137-151.
Jaffe, B. D., & Holtsnider, B. (2001). IT Manager's Handbook: Getting Your New Job Done. Morgan Kaufman.
Jobs, C. G., Aukers, S. M., & Gilfoil, D. M. (2015). The impact of big data on your firms marketing communications: a framework for understanding the emerging marketing analytics industry. Academy of Marketing Studies Journal, 19(2), 81.
Kardaras, D. K., Karakostas, B., Barbounaki, S. G., & Kaperonis, S. (2019). A Framework for Analyzing the Impact of Data Analytics and the Internet of Things on Digital Marketing. In Techno-Social Systems for Modern Economical and Governmental Infrastructures (pp. 211-240). IGI Global.
Kim, G., Shin, B., & Kwon, O. (2012). Investigating the value of sociomaterialism in conceptualizing IT capability of a firm. Journal of Management Information Systems, 29(3), 327-362.
KNIGHT, K. (1996). Technical Value: Measuring return on investment. BYSINGER, B.; KNIGHT, K. Investing in information technology: a decision-making guide for business and technology managers. New York: Van Nostrand Reinhold, 90-98.
Kohli, A. K., & Jaworski, B. J. (1990). Market orientation: the construct, research propositions, and managerial implications. Journal of marketing, 54(2), 1-18.
Lee, R. C. (2012). A Service Oriented Analytics Framework for Multi-Level Marketing Business. Journal of Software Engineering and Applications, 5(8), 527-535.
Leidner, D. E., & Kayworth, T. (2006). A review of culture in information systems research: Toward a theory of information technology culture conflict. MIS quarterly, 30(2), 357-399.
Li, E. Y., Mcleod Jr, R., & Rogers, J. C. (2001). Marketing information systems in Fortune 500 companies: a longitudinal analysis of 1980, 1990, and 2000. Information & Management, 38(5), 307-322.
Lin, B. W. (2007). Information technology capability and value creation: Evidence from the US banking industry. Technology in Society, 29(1), 93-106.
Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., & Hung Byers,
A. (2011). Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute.
Matthias, O., Fouweather, I., Gregory, I., & Vernon, A. (2017). Making sense of Big Data–can it transform operations management?. International Journal of Operations & Production Management.
McFedries, P. (2013). Excel Data Analysis: Your visual blueprint for analyzing data, charts, and pivotTables. John Wiley & Sons.
Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2018). Big data analytics capabilities: a systematic literature review and research agenda. Information Systems and e-Business Management, 16(3), 547-578.
Motwani, J., Subramanian, R., & Gopalakrishna, P. (2005). Critical factors for successful ERP implementation: Exploratory findings from four case studies. Computers in industry, 56(6), 529-544.
Narver, J. C., & Slater, S. F. (1990). The effect of a market orientation on business profitability. Journal of marketing, 54(4), 20-35.
Negash, S., & Gray, P. (2008). Business intelligence. In Handbook on decision support systems 2 (pp. 175-193). Springer, Berlin, Heidelberg.
Oztekin, A. (2018). Creating a marketing strategy in healthcare industry: a holistic data analytic approach. Annals of Operations Research, 270(1-2), 361-382.
Robinson, P. (2002). ERP (Enterprise Resource Planning) Survival Guide. online at BPIC, The Manufacturing Planning Resource, Available at http://www. bpic.co.uk/erp.html.
Ryu, H. S., & Lee, J. N. (2013). Effect of IT Capability on the Alignment between Business and Service Innovation Strategies. In PACIS (p. 146).
Santhanam, R., & Hartono, E. (2003). Issues in linking information technology capability to firm performance. MIS quarterly, 125-153.
Shanks, G. G., Bekmamedova, N., Adam, F., & Daly, M. (2012, January). Embedding Business Intelligence Systems within Organisations. In DSS (pp. 113-124).
Sharma, R., & Shanks, G. (2011). The role of dynamic capabilities in creating business value from IS assets.
Sharma, R., Reynolds, P., Scheepers, R., Seddon, P. B., & Shanks, G. G. (2010, August). Business Analytics and Competitive Advantage: A Review and a Research Agenda. In DSS (pp. 187-198).
Shollo, A., & Kautz, K. (2010). Towards an understanding of business intelligence. ACIS 2010 Proceedings. 86. Available at http://aisel.aisnet.org/acis2010/86.
Spathis, C., & Constantinides, S. (2003). The usefulness of ERP systems for effective management. Industrial Management & Data Systems, 103(9), 677-685.
Strassmann, P. A. (1990). The business value of computers: an executive's guide. Information Economics Press.
Sun, Z., Strang, K., & Firmin, S. (2017). Business analytics-based enterprise information systems. Journal of Computer Information Systems, 57(2), 169-178.
Teece, D. J. (2007). Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance. Strategic management journal, 28(13), 1319- 1350.
Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic management journal, 18(7), 509-533.
Tweney, D. (2013). Walmart scoops up Inkiru to bolster its „big data‟capabilities online. VentureBeat. Available at https://venturebeat.com/2013/06/10/walmart-scoops- up-inkiru-to-bolster-its-big-data-capabilities-online.
Umble, E. J., & Umble, M. M. (2002). Avoiding ERP implementation failure. Industrial Management, 44(1), 25-25.
Van Der Zee, J. T. M., & De Jong, B. (1999). Alignment is not enough: integrating business and information technology management with the balanced business scorecard. Journal of management information systems, 16(2), 137-158.
Verville, J., & Halingten, A. (2003). A six-stage model of the buying process for ERP software. Industrial Marketing Management, 32(7), 585-594.
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.
Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J. F., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356-365.
Wedel, M., & Kannan, P. K. (2016). Marketing analytics for data-rich environments. Journal of Marketing, 80(6), 97-121.
Yiu, C. (2012). The big data opportunity. Policy exchange, 1, 36.
Zhang, L., Lee, M. K., Zhang, Z., & Banerjee, P. (2003, January). Critical success factors of enterprise resource planning systems implementation success in China. In 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the (pp. 10-pp). IEEE.
Zhou, Z. H., Chawla, N. V., Jin, Y., & Williams, G. J. (2014). Big data opportunities and challenges: Discussions from data analytics perspectives. IEEE Computational intelligence magazine, 9(4), 62-74.
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