OPERATIONALIZATION OF MARKETING CAPABILITIES IN THE CONTEXT OF ANALYTICS TECHNOLOGY ADOPTION
Abstract
The advent of analytics has been considered as a revolution in how firms treat data. However, the implementation of this technology is still an issue for researchers and practitioners. Many business leaders still reluctant to adopt this technology since it is still unclear how analytics adds value on firms. There are limited studies that incorporate analytics and capabilities, particularly in marketing. Moreover, there is also lack of empirical studies that cover the adaptive side of marketing capabilities. This study aims to close the gap by constructing a sound and holistic measurement of firms’ marketing capabilities (MCs) to measure the impact of analytics-related adoption. Integrative literature review was carried out to synthesize previous MCs constructs. Then, analysis was conducted to develop a new construct of MCs measurement. The result of this study proposes a more detailed and comprehensive framework in understanding the impact of marketing analytics (MA) adoption on all dimensions of MCs, including adaptive side of MCs.
Keywords
DOI: http://dx.doi.org/10.19166/imj.v3i1.7007
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Aldayel, M., Ykhlef, M., & Al-Nafjan, A. (2021). Recognition of consumer preference by analysis and classification EEG signals. Frontiers in Human Neuroscience, 14, 1–12. https://doi.org/10.3389/fnhum.2020.604639
Alnawas, I., & Hemsley-Brown, J. (2019). Market orientation and hotel performance: investigating the role of high-order marketing capabilities. International Journal of Contemporary Hospitality Management, 31(4), 1885–1905. https://doi.org/10.1108/IJCHM-07-2018-0564
Alshanty, A. M., & Emeagwali, O. L. (2019). Market-sensing capability, knowledge creation and innovation: The moderating role of entrepreneurial-orientation. Journal of Innovation and Knowledge, 4(3), 171–178. https://doi.org/10.1016/j.jik.2019.02.002
Aziz, A. (2017). Customer segmentation based on behavioural data in e-marketplace. Digitala Vetenskapliga Arkivet. https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1145508&dswid=8093
Balaji, A., Janardhanan, R., Johnston, S., & Kaka, N. (2018). How predictive analytics can boost product development. McKinsey & Company. https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/how-predictive-analytics-can-boost-product-development
Bara, D., & Knezevic, N. (2013). The impact of right-time business intelligence on organizational behavior. Interdisciplinary Management Research, 9, 27–42. https://ideas.repec.org/a/osi/journl/v9y2013p27-42.html
Benoit, D. F., Lessmann, S., & Verbeke, W. (2020). On realizing the utopian potential of big data analytics for maximizing return on marketing investments. Journal of Marketing Management, 36(3-4), 233–247. https://doi.org/10.1080/0267257X.2020.1739446
Carson, G., O'Connor, C. & Simmons, G. (2020), The crucial role of market intelligence in the development of small business marketing capabilities, Journal of Small Business and Enterprise Development, 27(5), 797–816. https://doi.org/10.1108/JSBED-12-2019-0394
Cao, G., Duan, Y., & El Banna, A. (2019). A dynamic capability view of marketing analytics: Evidence from UK firms. Industrial Marketing Management, 76, 72–83. https://doi.org/10.1016/j.indmarman.2018.08.002
Cao, G., Tian, N., & Blankson, C. (2021). Big data, marketing analytics, and firm marketing capabilities. Journal of Computer Information Systems, 62(3), 442–451. https://doi.org/10.1080/08874417.2020.1842270
Chang, R. M., Kauffman, R. J., & Son, I. (2012). Consumer micro-behavior and TV viewership patterns: Data analytics for the two-way set-top box. ACM International Conference Proceeding Series, 272–273. https://doi.org/10.1145/2346536.2346588
Day, G. S. (2011). Closing the marketing capabilities gap. Journal of Marketing, 75(4), 183–195. https://doi.org/10.1509/jmkg.75.4.183
Dremel, C., Herterich, M. M., Wulf, J., & Vom Brocke, J. (2020). Actualizing big data analytics affordances: A revelatory case study. Information & Management, 57(1), 103–121. http://dx.doi.org/10.1016/j.im.2018.10.007
Olavsrud, T. & Edwards, J. (2019). What is predictive analytics? Transforming data into future insights. CIO. https://www.cio.com/article/3273114/what-is-predictive-analytics-transforming-data-into-future-insights.html
Earley, C. E. (2015). Data analytics in auditing: Opportunities and challenges. Business Horizons, 58(5), 493–500. https://doi.org/10.1016/j.bushor.2015.05.002
Fan, W., & Gordon, M. D. (2014). The power of social media analytics. Communications of the ACM, 57(6), 74–81. https://doi.org/10.1145/2602574
Fang, E., & Zou, S. (2009). Antecedents and consequences of marketing dynamic capabilities in international joint ventures. Journal of International Business Studies, 40(5), 742–761. https://doi.org/10.1057/jibs.2008.96
Günther, W. A., Rezazade, M. M. H., Huysman, M., & Feldberg, F. (2017). Debating big data: A literature review on realizing value from big data. The Journal of Strategic Information Systems, 26(3), 191–209. https://doi.org/10.1016/j.jsis.2017.07.003
Guo, H., Xu, H., Tang, C., Liu-Thompkins, Y., Guo, Z., & Dong, B. (2018). Comparing the impact of different marketing capabilities: Empirical evidence from B2B firms in China. Journal of Business Research, 93, 79–89. https://doi.org/10.1016/j.jbusres.2018.04.010
Hendar., Ratnawati, A., Razak, W. M. W. A., & Abdullah, Z. (2020). Market intelligence on business performance: The mediating role of specialized marketing capabilities. Journal of Intelligence Studies in Business, 1(1), 22–85. https://doi.org/10.37380/jisib.v1i1.562
Holsapple, C., Lee-Post, A., & Pakath, R. (2014). A unified foundation for business analytics. Decision Support Systems, 64, 130–141. https://doi.org/10.1016/j.dss.2014.05.013
Hoque, M. T., Ahammad, M. F., Tzokas, N., & Gabay, G. (2020). Dimensions of dynamic marketing capability and export performance. Journal of Knowledge Management, 25(5). https://doi.org/10.1108/JKM-09-2019-0482
Jagtap, S., & Duong, L. N. K. (2019). Improving the new product development using big data: A case study of a food company. British Food Journal, 121(11), 2835–2848. https://doi.org/10.1108/BFJ-02-2019-0097
Kachouie, R., Mavondo, F., & Sands, S. (2018). Dynamic marketing capabilities view on creating market change. European Journal of Marketing, 52(5/6), 1007–1036. https://doi.org/10.1108/EJM-10-2016-0588
Khade, A. A. (2016). Performing customer behavior analysis using big data analytics. Procedia Computer Science, 79, 986–992. https://doi.org/10.1016/j.procs.2016.03.125
Khan, G., & Dillon, S. (2019). What should businesses know about social media analytics?. 30th Australasian Conference on Information Systems. https://acis2019.io/paper/34/
Khatri, V., & Samuel, B. M. (2019). Analytics for managerial work. Communications of the ACM, 62(4), 100–108. https://doi.org/10.1145/3274277
Liang, X., & Gao, Y. (2020). Marketing performance measurement systems and firm performance: Are marketing capabilities the missing links?. European Journal of Marketing, 54(4), 885–907. https://doi.org/10.1108/EJM-05-2018-0302
Likoum, S. W. B., Shamout, M. D., Harazneh, I., & Abubakar, A. M. (2018). Market-sensing capability, innovativeness, brand management systems, market dynamism, competitive intensity, and performance: An integrative review. Journal of the Knowledge Economy, 11(2), 1–21. https://doi.org/10.1007/s13132-018-0561-x
Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020). Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information and Management, 57(2), 103169. https://doi.org/10.1016/j.im.2019.05.004
Morgan, N. A., Feng, H., & Whitler, K. A. (2018). Marketing capabilities in international marketing. Journal of Marketing, 26(1), 61–95. https://doi.org/10.1509/jim.17.0056
Morgan, N. A., Katsikeas, C. S., & Vorhies, D. W. (2012). Export marketing strategy implementation, export marketing capabilities, and export venture performance. Journal of the Academy of Marketing Science, 40(2), 271–289. https://doi.org/10.1007/s11747-011-0275-0
Poornima, S., & Pushpalatha, M. (2020). A survey on various applications of prescriptive analytics. International Journal of Intelligent Networks, 1, 76–84. https://doi.org/10.1016/j.ijin.2020.07.001
Provost, F., & Fawcett, T. (2013). Data science for business. O'Reilly Media, Inc.
Qureshi, M. S., Aziz, N., & Mian, S. A. (2017). How marketing capabilities shape entrepreneurial firm’s performance? Evidence from new technology-based firms in turkey. Journal of Global Entrepreneurship Research, 7(1). https://doi.org/10.1186/s40497-017-0071-5
Raja, B., Pamina, J., Madhavan, P., & Kumar, A. S. (2018). Market behavior analysis using descriptive approach. International Journal of Pure and Applied Mathematics, 118(7), 171–175. https://doi.org/10.2139/ssrn.3330017
Reimann, C., Carvalho, F., & Duarte, M. (2021). The influence of dynamic and adaptive marketing capabilities on the performance of Portuguese SMEs in the B2B international market. Sustainability, 13(2), 1–23. https://doi.org/10.3390/su13020579
Roy, K. K., Jaiswal, P. K., & Sinha, A. (2018). Data analytics for consumer purchasing pattern with behavioral segmentation. SSRN. https://doi.org/10.2139/ssrn.3172771
Sharda, R., Asamoah, D. A., & Ponna, N. (2013). Business analytics: Research and teaching perspectives. Proceedings of the International Conference on Information Technology Interfaces, ITI, January 2017, 19–27. https://doi.org/10.2498/iti.2013.0589
Shen, J., Sha, Z., & Wu, Y. J. (2020). Enterprise adaptive marketing capabilities and sustainable innovation performance: An opportunity-resource integration perspective. Sustainability, 12(2). https://doi.org/10.3390/su12020469
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
Taghikhah, F., Voinov, A., Shukla, N., & Filatova, T. (2021). Shifts in consumer behavior towards organic products: Theory-driven data analytics. Journal of Retailing and Consumer Services, 61. https://doi.org/10.1016/j.jretconser.2021.102516
Tan, K. H., & Zhan, Y. (2017). Improving new product development using big data: A case study of an electronics company. R&D Management, 47(4), 570–582. https://doi.org/10.1111/radm.12242
Teece, D. (2009). Dynamic capabilities and strategic management: Organizing for innovation and growth. OUP Oxford.
Tunowski, R. (2015). Business intelligence in organization. benefits, risks and developments. Przedsiebiorczosc i Zarzadzanie, 16(2), 133–144. https://doi.org/10.1515/eam-2015-0022
Watson, H. J., & Wixom, B. H. (2007). The current state of business intelligence. Computer, 40(9), 96–99. https://doi.org/10.1109/MC.2007.331
Wedel, M., & Kannan, P. K. (2016). Marketing analytics for data-rich environments. Journal of Marketing, 80(6), 97–121. https://doi.org/10.1509/jm.15.0413
Wilder, C. R., & Ozgur, C. O. (2015). Business analytics curriculum for undergraduate majors. INFORMS Transactions on Education, 15(2), 180–187. https://doi.org/10.1287/ited.2014.0134
Zhan, Y., Hua, K., Li, Y., & Kei, Y. (2016). Unlocking the power of big data in new product development. Annals of Operations Research, 270, 577–595. https://doi.org/10.1007/s10479-016-2379-x
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