BUILDING A DATA-DRIVEN FUTURE: A LITERATURE REVIEW ON DATA CULTURE AND BUSINESS ANALYTICS ADAPTION

Authors

  • Mr. Harshal Patil Research Scholar, ATSS’s Institute of Industrial and Computer Management and Research(IICMR) Nigdi, Pune
  • Dr. Abhay Kulkarni Research Guide, ATSS’s Institute of Industrial and Computer Management and Research (IICMR) Nigdi, Pune Affiliated To Savitribai Phule Pune University, Pune

DOI:

https://doi.org/10.29121/shodhkosh.v4.i1.2023.5528

Keywords:

Data Culture, Business Analytics, Organizational Adaption, Digital Transformation, Human Capital

Abstract [English]

The capacity of firms to extract value from data is evolving into a matter of strategic importance in an increasingly digitized world. This paper utilizes a systematic literature review to examine the complex interplay between data culture and the adaption of business analytics, in different contexts of organizations. Although data-driven technologies are nearly ubiquitous, many firms still struggle to develop a cohesive culture to meaningfully integrate analytics. The study's objectives are to (1) bring together the existing literature on data culture and adaption of business analytics, (2) examine the influences of enablers and barriers such as leadership, digital maturity, and data literacy, and (3) establish theoretical frameworks and possible research gaps for future studies.


 In this study, were systematic - examining peer-reviewed journals and conference proceedings and academic databases such as Scopus, IEEE, SSRN, etc. Narrative synthesis and thematic analysis were used to address the influences of organizational, technological, environmental, and human resources and capital factors along established models; Technology-Organization-Environment (TOE), Dynamic Capabilities Theory, and the Diffusion of Innovations (DOI) theory. Research findings support strong leadership support, organizational cross-member collaboration, accessibility to data, and analytics competence will create critical factors in the successful adoption of business analytics. Our findings also indicate that resistance to change, skills deficit, and strategic misalignment are accompanying challenges.


The review identifies a number of gaps in empirical research across specific industries, calling for multidisciplinary, longitudinal research that integrates behavioral and technological component. Actionable strategic implications are made for managers, IT professional, and human resource leaders to assist with cultural change within a data focused organization. Finally, the paper emphasizes that developing a balanced and inclusive data culture will assist organizations in leveraging benefits of business analytics, and creating a competitive advantage in the digital age.

References

Aldossari, S., Mokhtar, U. A., & Abdul Ghani, A. T. (2023). Factor Influencing the Adoption of Big Data Analytics: A Systematic Literature and Experts Review. SAGE Open, 13(4). https://doi.org/10.1177/21582440231217902 (Original work published 2023) DOI: https://doi.org/10.1177/21582440231217902

Al-Sai, Z. A., Abdullah, R., & Husin, M. H. (2020). Critical success factors for big data: A systematic literature review. IEEE Access, 8, 118940–118956. https://doi.org/10.1109/ACCESS.2020.3005461 DOI: https://doi.org/10.1109/ACCESS.2020.3005461

Alsulami, A., Hamid, S., & Ghani, N. A. (2024). Organizational Factors Influencing Data Analytics Adoption in SMEs: A Systematic Review. Journal of Cases on Information Technology (JCIT), 26(1), 1-17. https://doi.org/10.4018/JCIT.356673

Alsulami, A., Hamid, S., & Ghani, N. A. (2024). Organizational Factors Influencing Data Analytics Adoption in SMEs: A Systematic Review. Journal of Cases on Information Technology (JCIT), 26(1), 1-17. https://doi.org/10.4018/JCIT.356673 DOI: https://doi.org/10.4018/JCIT.356673

Anton, E., Oesterreich, T. D., Aptyka, M., & Teuteberg, F. (2023). Beyond digital data and information technology: Conceptualizing data-driven culture. Pacific Asia Journal of the Association for Information Systems, 15(3), Article 1. https://doi.org/10.17705/1pais.15301 DOI: https://doi.org/10.17705/1pais.15301

Atan, M., & Pengurusan, F. (2024). The Moderating Role of Organisation Culture on the Relationship between Technology and Business Analytics Adoption. International Journal of Academic Research in Economics and Management Sciences, 13(4), 575–589. http://dx.doi.org/10.6007/IJAREMS/v13-i4/23350 DOI: https://doi.org/10.6007/IJAREMS/v13-i4/23350

Azoury, N., Subrahmanyam, S., & Sarkis, N. (2024). The influence of a data-driven culture on product development and organizational success through the use of business analytics. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 15(2), 123–134. https://doi.org/10.58346/JOWUA.2024.I2.009 DOI: https://doi.org/10.58346/JOWUA.2024.I2.009

Brynjolfsson, E., Hitt, L. M., & Kim, H. H. (2011, April 22). Strength in numbers: How does data-driven decisionmaking affect firm performance? SSRN. https://doi.org/10.2139/ssrn.1819486 DOI: https://doi.org/10.2139/ssrn.1819486

Cao, G., & Duan, Y. (2015). The Affordances of Business Analytics for Strategic Decision-Making and Their Impact on Organisational Performance. Pacific Asia Conference on Information Systems. https://www.semanticscholar.org/paper/The-Affordances-of-Business-Analytics-for-Strategic-Cao-Duan/363436c3cc72c73fe417bef03bd4bdbbcc064626

Ciasullo, M. V., Montera, R., & Romeo, E. (2021). What about data-driven business models? Mapping the literature and scoping future avenues. International Journal of Business and Management, 16(8), 1–18. https://doi.org/10.5539/ijbm.v16n8p1 DOI: https://doi.org/10.5539/ijbm.v16n8p1

Coolen, P., van den Heuvel, S., Van De Voorde, K., & Paauwe, J. (2023). Understanding the adoption and institutionalization of workforce analytics: A systematic literature review and research agenda. Human Resource Management Review, 33(4), 100985. https://doi.org/10.1016/j.hrmr.2023.100985 DOI: https://doi.org/10.1016/j.hrmr.2023.100985

Dasari, S. R., & Devi, V. R. (2024). Organizational Adoption Factors of HR Analytics: A Practitioner’s Perspective. Management and Labour Studies, 0(0). https://doi.org/10.1177/0258042X241249244 DOI: https://doi.org/10.1177/0258042X241249244

Elrehail, H. (2023). HR analytics and future of work: A systematic literature review. In 2023 International Conference on Business Analytics for Technology and Security (ICBATS) (pp. 1–5). IEEE. https://doi.org/10.1109/ICBATS57792.2023.10111370 DOI: https://doi.org/10.1109/ICBATS57792.2023.10111370

Faiz, M. (2024). DRIVERS & OUTCOMES OF HUMAN CAPITAL ANALYTICS. PEOPLE: International Journal of Social Sciences, 302. https://doi.org/10.20319/icssh.2024.302 DOI: https://doi.org/10.20319/icssh.2024.302

Fernandez, V. and Gallardo-Gallardo, E. (2021), "Tackling the HR digitalization challenge: key factors and barriers to HR analytics adoption", Competitiveness Review, Vol. 31 No. 1, pp. 162-187. https://doi.org/10.1108/CR-12-2019-0163 DOI: https://doi.org/10.1108/CR-12-2019-0163

Hashim, M. A., Che Ibrahim, C. K. I., Jaafar, N. A. L., Kordi, N. E., Haron, A. T., & Umeokafor, N. (2024). Building data driven culture for digital competitiveness in construction industry: a theoretical exploration. International Journal of Construction Management, 25(3), 334–346. https://doi.org/10.1080/15623599.2024.2322237

Hashim, M. A., Che Ibrahim, C. K. I., Jaafar, N. A. L., Kordi, N. E., Haron, A. T., & Umeokafor, N. (2024). Building data driven culture for digital competitiveness in construction industry: a theoretical exploration. International Journal of Construction Management, 25(3), 334–346. https://doi.org/10.1080/15623599.2024.2322237 DOI: https://doi.org/10.1080/15623599.2024.2322237

Horani, O. M., Khatibi, A., AL-Soud, A. R., Tham, J., & Al-Adwan, A. S. (2023). Determining the Factors Influencing Business Analytics Adoption at Organizational Level: A Systematic Literature Review. Big Data and Cognitive Computing, 7(3), 125. https://doi.org/10.3390/bdcc7030125 DOI: https://doi.org/10.3390/bdcc7030125

Javed, B., & Akhlaq, A. (2024). A Systematic Review of Exploring the Multiple Dimensions of Data-Driven Culture. International Journal of Trends and Innovations in Business & Social Sciences, 2(4), 522–536. https://doi.org/10.48112/tibss.v2i4.953

Javed, B., & Akhlaq, A. (2024). A Systematic Review of Exploring the Multiple Dimensions of Data-Driven Culture. International Journal of Trends and Innovations in Business & Social Sciences, 2(4), 522–536. https://doi.org/10.48112/tibss.v2i4.953 DOI: https://doi.org/10.48112/tibss.v2i4.953

Kaluarachchi, Y. (2022). Implementing Data-Driven Smart City Applications for Future Cities. Smart Cities, 5(2), 455-474. https://doi.org/10.3390/smartcities5020025 DOI: https://doi.org/10.3390/smartcities5020025

King, K. G. (2016). Data Analytics in Human Resources: A Case Study and Critical Review. Human Resource Development Review, 15(4), 487-495. https://doi.org/10.1177/1534484316675818 (Original work published 2016) DOI: https://doi.org/10.1177/1534484316675818

Kiron, D., Prentice, P., & Ferguson, R.B. (2014). The analytics mandate. MIT Sloan Management Review, 55, 1-25. https://www.semanticscholar.org/paper/The-analytics-mandate-Kiron-Prentice/46cffbf381022f2e323c8b2c0a0e4f702bc2f47e

Kiu, C.T.T. and Chan, J.H. (2024), "Firm characteristics and the adoption of data analytics in performance management: a critical analysis of EU enterprises", Industrial Management & Data Systems, Vol. 124 No. 2, pp. 820-858. https://doi.org/10.1108/IMDS-07-2023-0430 DOI: https://doi.org/10.1108/IMDS-07-2023-0430

Korherr, P., Kanbach, D. Human-related capabilities in big data analytics: a taxonomy of human factors with impact on firm performance. Rev Manag Sci 17, 1943–1970 (2023). https://doi.org/10.1007/s11846-021-00506-4 DOI: https://doi.org/10.1007/s11846-021-00506-4

Kroll, A. (2015). Drivers of Performance Information Use: Systematic Literature Review and Directions for Future Research. Public Performance & Management Review, 38(3), 459–486. https://doi.org/10.1080/15309576.2015.1006469 DOI: https://doi.org/10.1080/15309576.2015.1006469

Lenz, R.T. (1981), ‘Determinants’ of organizational performance: An interdisciplinary review. Strat. Mgmt. J., 2: 131-154. https://doi.org/10.1002/smj.4250020204 DOI: https://doi.org/10.1002/smj.4250020204

Levenson, A. and Fink, A. (2017), "Human capital analytics: too much data and analysis, not enough models and business insights", Journal of Organizational Effectiveness: People and Performance, Vol. 4 No. 2, pp. 145-156. https://doi.org/10.1108/JOEPP-03-2017-0029 DOI: https://doi.org/10.1108/JOEPP-03-2017-0029

Lunde, T.Å., Sjusdal, A.P., Pappas, I.O. (2019). Organizational Culture Challenges of Adopting Big Data: A Systematic Literature Review. In: Pappas, I.O., Mikalef, P., Dwivedi, Y.K., Jaccheri, L., Krogstie, J., Mäntymäki, M. (eds) Digital Transformation for a Sustainable Society in the 21st Century. I3E 2019. Lecture Notes in Computer Science(), vol 11701. Springer, Cham. https://doi.org/10.1007/978-3-030-29374-1_14 DOI: https://doi.org/10.1007/978-3-030-29374-1_14

Lutfi, A., Alsyouf, A., Almaiah, M. A., Alrawad, M., Abdo, A. A. K., Al-Khasawneh, A. L., Ibrahim, N., & Saad, M. (2022). Factors Influencing the Adoption of Big Data Analytics in the Digital Transformation Era: Case Study of Jordanian SMEs. Sustainability, 14(3), 1802. https://doi.org/10.3390/su14031802 DOI: https://doi.org/10.3390/su14031802

Maroufkhani, P., Wagner, R., Wan Ismail, W. K., Baroto, M. B., & Nourani, M. (2019). Big Data Analytics and Firm Performance: A Systematic Review. Information, 10(7), 226. https://doi.org/10.3390/info10070226 DOI: https://doi.org/10.3390/info10070226

Medeiros, M.M.d. and Maçada, A.C.G. (2022), "Competitive advantage of data-driven analytical capabilities: the role of big data visualization and of organizational agility", Management Decision, Vol. 60 No. 4, pp. 953-975. https://doi.org/10.1108/MD-12-2020-1681 DOI: https://doi.org/10.1108/MD-12-2020-1681

Mikalef, P., & Krogstie, J. (2020). Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities. European Journal of Information Systems, 29(3), 260–287. https://doi.org/10.1080/0960085X.2020.1740618 DOI: https://doi.org/10.1080/0960085X.2020.1740618

Patil, H., & Kulkarni, A. (2022, November). The role of business analytics for enhancing organizational performance. International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), 2(1), 282–287. https://doi.org/10.48175/IJARSCT-7371 DOI: https://doi.org/10.48175/IJARSCT-7371

Ramanathan, R., Philpott, E., Duan, Y., & Cao, G. (2017). Adoption of business analytics and impact on performance: a qualitative study in retail. Production Planning & Control, 28(11–12), 985–998. https://doi.org/10.1080/09537287.2017.1336800 DOI: https://doi.org/10.1080/09537287.2017.1336800

Ratnasari, M. A., & Hasnawati. (2023, July 31). Faktor teknologi terhadap adopsi big data pada era transformasi digital. Jurnal Informasi Perpajakan Akuntansi dan Keuangan Publik, 18(2). https://doi.org/10.25105/jipak.v18i2.17243 DOI: https://doi.org/10.25105/jipak.v18i2.17243

Schüll, A., & Maslan, N. (2018). On the adoption of big data analytics: Interdependencies of contextual factors. In Proceedings of the 20th International Conference on Enterprise Information Systems – Volume 1: ICEIS (pp. 425–431). Funchal, Madeira, Portugal: SCITEPRESS – Science and Technology Publications. https://doi.org/10.5220/0006630504250431 DOI: https://doi.org/10.5220/0006759904250431

Shanks, G.G., Sharma, R., Seddon, P.B., & Reynolds, P. (2010). The Impact of Strategy and Maturity on Business Analytics and Firm Performance: A Review and Research Agenda. ACIS. https://www.semanticscholar.org/paper/The-Impact-of-Strategy-and-Maturity-on-Business-and-Shanks-Sharma/3dca141f38e797fbd77fc1779d420206096959a3

Shortland, S. (2020). Data analytics – building a data driven culture. https://www.semanticscholar.org/paper/Data-analytics-%E2%80%93-building-a-data-driven-culture-Shortland/b594f0289e9823c7c9212ab48cc6f3efbd25eb80

Skyrius, R., Katin, I., Kazimianec, M., Nemitko, S., Rumšas, G., & Žilinskas, R. (2016). Factors driving business intelligence culture. In Proceedings of InSITE 2016 (p. 912). Informing Science Institute. https://doi.org/10.28945/3420 DOI: https://doi.org/10.28945/3420

Storm, M., & Borgman, H. (2020, January 7). Understanding challenges and success factors in creating a data-driven culture. In Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS) (pp. 1–10). University of Hawaiʻi at Mānoa. http://hdl.handle.net/10125/64405

Sun, S., Cegielski, C. G., Jia, L., & Hall, D. J. (2016). Understanding the Factors Affecting the Organizational Adoption of Big Data. Journal of Computer Information Systems, 58(3), 193–203. https://doi.org/10.1080/08874417.2016.1222891 DOI: https://doi.org/10.1080/08874417.2016.1222891

Verma, S. & Chaurasia, S. (2019). Understanding the Determinants of Big Data Analytics Adoption. Information Resources Management Journal (IRMJ), 32(3), 1-26. https://doi.org/10.4018/IRMJ.2019070101 DOI: https://doi.org/10.4018/IRMJ.2019070101

Walker, R., & Brown, I. (2019). Big data analytics adoption: A case study in a large South African telecommunications organisation. South African Journal of Information Management, 21(1), 10 pages. doi:https://doi.org/10.4102/sajim.v21i1.1079 DOI: https://doi.org/10.4102/sajim.v21i1.1079

Wang, S., & Krisch, U. (2019, February 6). A foundation for building a data-driven culture. Applied Marketing Analytics: The Peer-Reviewed Journal, 4(3). https://doi.org/10.69554/JQLJ4548. DOI: https://doi.org/10.69554/JQLJ4548

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Published

2023-06-30

How to Cite

Patil, H., & Kulkarni, A. (2023). BUILDING A DATA-DRIVEN FUTURE: A LITERATURE REVIEW ON DATA CULTURE AND BUSINESS ANALYTICS ADAPTION. ShodhKosh: Journal of Visual and Performing Arts, 4(1), 4454–4464. https://doi.org/10.29121/shodhkosh.v4.i1.2023.5528