922
Views
2
CrossRef citations to date
0
Altmetric
Review

Big data analytics capabilities: a novel integrated fitness framework based on a tool-based content analysis

, &
Article: 1939427 | Received 22 Oct 2020, Accepted 02 Jun 2021, Published online: 11 Jun 2021

References

  • Abbasi, A., S. Sarker, and R. Chiang. 2016. “Big Data Research in Information Systems: Toward an Inclusive Research Agenda.” Journal of the Association for Information Systems 17 (2): 78–112. doi:10.17705/1jais.00423.
  • Adrian, C., R. Abdullah, R. Atan, and Y. Jusoh. 2018. “Conceptual Model Development of Big Data Analytics Implementation Assessment Effect on Decision-Making.” International Journal of Interactive Multimedia and Artificial Intelligence 5 (1): 101. doi:10.9781/ijimai.2018.03.001.
  • Akter, S., S. F. Wamba, A. Gunasekaran, R. Dubey, and S. J. Childe. 2016. “How to Improve Firm Performance Using Big Data Analytics Capability and Business Strategy Alignment?” International Journal of Production Economics 182 (xx): 113–131. doi:10.1016/j.ijpe.2016.08.018.
  • Alter, S. 2016. “Nothing Is More Practical than a Good Conceptual Artifact … Which May Be a Theory, Framework, Model, Metaphor, Paradigm or Perhaps Some Other Abstraction.” Information Systems Journal 27 (5): 671–693. doi:10.1111/isj.12116.
  • Amit, R., and P. J. H. Schoemaker. 1993. “Strategic Assets and Organizational Rent.” Strategic Management Journal 14 (1): 33–46. doi:10.1002/smj.4250140105.
  • Andrew, W. 2019. “Our Top Data and Analytics Predicts for 2019.” Gartner. January 3. https://blogs.gartner.com/andrew_white/2019/01/03/our-top-data-and-analytics-predicts-for-2019/
  • Anthony Jnr, B. 2021. “Managing Digital Transformation of Smart Cities through Enterprise Architecture–a Review and Research Agenda.” In Enterprise Information Systems 15 (3): 299–331. Taylor & Francis. doi: 10.1080/17517575.2020.1812006
  • Anthony Jnr, B., and S. A. Petersen. 2020. “Examining the Digitalisation of Virtual Enterprises Amidst the COVID-19 Pandemic: A Systematic and Meta-Analysis.” Enterprise Information Systems, October. 1–34. doi:10.1080/17517575.2020.1829075.
  • Arunachalam, D., N. Kumar, and J. P. Kawalek. 2018. “Understanding Big Data Analytics Capabilities in Supply Chain Management: Unravelling the Issues, Challenges and Implications for Practice.” Transportation Research Part E: Logistics and Transportation Review 114 (xx): 416–436. doi:10.1016/j.tre.2017.04.001.
  • Ashrafi, A., A. Zare Ravasan, P. Trkman, and S. Afshari. 2019. “The Role of Business Analytics Capabilities in Bolstering Firms’ Agility and Performance.” International Journal of Information Management 47 (xx): 1–15. doi:10.1016/j.ijinfomgt.2018.12.005.
  • Baets, W. 1992. “Aligning Information Systems with Business Strategy.” The Journal of Strategic Information Systems 1 (4): 205–213. doi:10.1016/0963-8687(92)90036-v.
  • Bain. 2013. “Bain_brief_big_data_the_organizational_challenge.pdf.” https://www.bain.com/contentassets/25c167a5149c42168994338f9dc99ffe/bain_brief_big_data_the_organizational_challenge.pdf
  • Bandara, W., E. Furtmueller, E. Gorbacheva, S. Miskon, and J. Beekhuyzen. 2015. “Achieving Rigor in Literature Reviews: Insights from Qualitative Data Analysis and Tool-Support.” Communications of the Association for Information Systems 37. doi:10.17705/1cais.03708.
  • Barney, J. 1991. “Firm Resources and Sustained Competitive Advantage.” Journal of Management 17 (1): 99–120. doi:10.1177/014920639101700108.
  • Bharadwaj, A., O. A. El Sawy, P. A. Pavlou, and N. Venkatraman. 2013. “Digital Business Strategy: Toward a Next Generation of Insights.” MIS Quarterly 37 (2): 471–482. doi:10.25300/misq/2013/37:2.3.
  • Bharadwaj, A. S. 2000. “A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation.” MIS Quarterly 24 (1): 169. doi:10.2307/3250983.
  • Bostrom, R. P., and J. S. Heinen. 1977. “MIS Problems and Failures: A Socio-Technical Perspective. Part I: The Causes.” MIS Quarterly 1 (3): 17. doi:10.2307/248710.
  • Božič, K., and V. Dimovski. 2019. “Business Intelligence and Analytics for Value Creation: The Role of Absorptive Capacity.” International Journal of Information Management 46 (June): 93–103. doi:10.1016/j.ijinfomgt.2018.11.020.
  • Braganza, A., L. Brooks, D. Nepelski, M. Ali, and R. Moro. 2017. “Resource Management in Big Data Initiatives: Processes and Dynamic Capabilities.” Journal of Business Research 70 (xx): 328–337. doi:10.1016/j.jbusres.2016.08.006.
  • Buckl, S., A. M. Ernst, J. Lankes, F. Matthes, and C. M. Schweda. 2009. “State of the Art in Enterprise Architecture Management.” In Software Engineering for Business Information Systems (SEBIS), 1–31, Munich, Germany.
  • Cao, G., Y. Duan, and G. Li. 2015. “Linking Business Analytics to Decision Making Effectiveness: A Path Model Analysis.” IEEE Transactions on Engineering Management 62 (3): 384–395. doi:10.1109/tem.2015.2441875.
  • Chen, D., and G. Doumeingts. 1996. “The GRAI-GIM Reference Model, Architecture and Methodology.” IFIP Advances in Information and Communication Technology 102–126. doi:10.1007/978-0-387-34941-1_7.
  • Chen, L., and R. Nath. 2017. “Business Analytics Maturity of Firms: An Examination of the Relationships between Managerial Perception of IT, Business Analytics Maturity and Success.” Information Systems Management 35 (1): 62–77. doi:10.1080/10580530.2017.1416948.
  • Cohen, W. M., and D. A. Levinthal. 1990. “Absorptive Capacity: A New Perspective on Learning and Innovation.” Administrative Science Quarterly 35 (1): 128. doi:10.2307/2393553.
  • Collis, D. J. 1994. “Research Note: How Valuable Are Organizational Capabilities?” Strategic Management Journal 15 (S1): 143–152. doi:10.1002/smj.4250150910.
  • Côrte-Real, N., T. Oliveira, and P. Ruivo. 2017. “Assessing Business Value of Big Data Analytics in European Firms.” Journal of Business Research 70 (xx): 379–390. doi:10.1016/j.jbusres.2016.08.011.
  • Cosic, R., G. Shanks, and S. B. Maynard. 2015. “A Business Analytics Capability Framework.” Australasian Journal of Information Systems 19 (xx). doi:10.3127/ajis.v19i0.1150.
  • Creswell, J. W., and J. D. Creswell. 2018. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Thousand Oaks, California: Sage Publications.
  • Crossan, M. M., and M. Apaydin. 2009. “A Multi-Dimensional Framework of Organizational Innovation: A Systematic Review of the Literature.” Journal of Management Studies 47 (6): 1154–1191. doi:10.1111/j.1467-6486.2009.00880.x.
  • Cushing, B. E. 1990. “Frameworks, Paradigms and Scientific Research in Management Information Systems.” Journal of Information Systems 4 (2): 38–59.
  • Demchenko, Y., P. Grosso, C. De Laat, and P. Membrey. 2013. “Addressing Big Data Issues in Scientific Data Infrastructure.” In 2013 International Conference on Collaboration Technologies and Systems (CTS), 48–55, San Diego, USA. doi: 10.1109/CTS.2013.6567203.
  • DoDAF. 2010. “DODAF - DOD Architecture Framework Version 2.02 - DOD Deputy Chief Information Officer.” Dodcio.defense.gov. https://dodcio.defense.gov/Library/DoD-Architecture-Framework/
  • Dremel, C., M. M. Herterich, J. Wulf, and J. vom Brocke. 2018. “Actualizing Big Data Analytics Affordances: A Revelatory Case Study.” Information & Management 57 (1): 103121. doi:10.1016/j.im.2018.10.007.
  • Elo, S., M. Kääriäinen, O. Kanste, T. Pölkki, K. Utriainen, and H. Kyngäs. 2014. “Qualitative Content Analysis.” SAGE Open 4 (1): 215824401452263. doi:10.1177/2158244014522633.
  • Ernst, A. M., and A. W. Schneider. 2010. “Roadmaps for Enterprise Architecture Evolution.” Software Engineering 2010 - Workshop Volume (Incl. Doctoral Symposium). Society for Computer Science eV, Paderborn, Germany.
  • European Commission. 2008. “CIMOSA: Open System Architecture for CIM: 2nd, Revised and Extended Edition.” Op.europa.eu. March 20. https://op.europa.eu/en/publication-detail/-/publication/0e48f808-8e46-4280-b0d1-6ddfe4399589
  • Fiedler, F. E. 1967. “A Theory of Leadership Effectiveness. MCGRAW-HILL Series in Management.” ERIC.
  • Gandomi, A., and M. Haider. 2015. “Beyond the Hype: Big Data Concepts, Methods, and Analytics.” International Journal of Information Management 35 (2): 137–144. doi:10.1016/j.ijinfomgt.2014.10.007.
  • Ghasemaghaei, M. 2019. “Are Firms Ready to Use Big Data Analytics to Create Value? The Role of Structural and Psychological Readiness.” Enterprise Information Systems 13 (5): 650–674. doi:10.1080/17517575.2019.1576228.
  • Gibson, J. J. 1978. “The Ecological Approach to the Visual Perception of Pictures.” Leonardo 11 (3): 227. doi:10.2307/1574154.
  • Giddens, A. 1984. ˜theœ Constitution of Society Outline of the Theory of Structuration. Cambridge Malden: Ma Polity Press.
  • Gong, Y., and M. Janssen. 2021. “Roles and Capabilities of Enterprise Architecture in Big Data Analytics Technology Adoption and Implementation.” Journal of Theoretical and Applied Electronic Commerce Research 16 (1): 37–51. doi:10.4067/s0718-18762021000100104.
  • Gopalakrishnan, S., P. Bierly, and E. H. Kessler. 1999. “A Reexamination of Product and Process Innovations Using A Knowledge-Based View.” The Journal of High Technology Management Research 10 (1): 147–166. doi:10.1016/s1047-8310(99)80007-8.
  • Grant, R. M. 1996. “Toward a Knowledge-Based Theory of the Firm.” Strategic Management Journal 17 (S2): 109–122. doi:10.1002/smj.4250171110.
  • Grover, V., R. H. L. Chiang, T.-P. Liang, and D. Zhang. 2018. “Creating Strategic Business Value from Big Data Analytics: A Research Framework.” Journal of Management Information Systems 35 (2): 388–423. doi:10.1080/07421222.2018.1451951.
  • Gunasekaran, A., T. Papadopoulos, R. Dubey, S. F. Wamba, S. J. Childe, B. Hazen, and S. Akter. 2017. “Big Data and Predictive Analytics for Supply Chain and Organizational Performance.” Journal of Business Research 70 (xx): 308–317. doi:10.1016/j.jbusres.2016.08.004.
  • Gupta, M., and J. F. George. 2016. “Toward the Development of a Big Data Analytics Capability.” Information & Management 53 (8): 1049–1064. doi:10.1016/j.im.2016.07.004.
  • Hagan, P. 2004. “Guide to the (Evolving) Enterprise Architecture Body of Knowledge Draft EABOK Not an Official Position of the MITRE Corporation.” https://www.mitre.org/sites/default/files/pdf/04_0104.pdf
  • Helfat, C. E., and M. A. Peteraf. 2009. “Understanding Dynamic Capabilities: Progress along a Developmental Path.” Strategic Organization 7 (1): 91–102. doi:10.1177/1476127008100133.
  • Helfat, C. E., S. Finkelstein, and W. Mitchell. 2010. “Dynamic Capabilities Understanding Strategic Change in Organizations.” Malden, Mass. Blackwell. https://www.wiley.com/en-us/Dynamic+Capabilities%3A+Understanding+Strategic+Change+in+Organizations-p-9781405135757
  • Henderson, J. C., and H. Venkatraman. 1999. “Strategic Alignment: Leveraging Information Technology for Transforming Organizations.” IBM Systems Journal 38 (2.3): 472–484. doi:10.1147/sj.1999.5387096.
  • Huber, G. P. 1991. “Organizational Learning: The Contributing Processes and the Literatures.” Organization Science 2 (1): 88–115. doi:10.1287/orsc.2.1.88.
  • IDC. 2018. “DataAge 2025 - the Digitization of the World | Seagate Canada.” Seagate.com. https://www.seagate.com/our-story/data-age-2025/
  • Isik, O., M. C. Jones, and A. Sidorova. 2011. “BUSINESS INTELLIGENCE (BI) SUCCESS and the ROLE of BI CAPABILITIES.” Intelligent Systems in Accounting, Finance and Management 18 (4): 161–176. doi:10.1002/isaf.329.
  • Jeble, S., R. Dubey, S. J. Childe, T. Papadopoulos, D. Roubaud, and A. Prakash. 2018. “Impact of Big Data and Predictive Analytics Capability on Supply Chain Sustainability.” The International Journal of Logistics Management 29 (2): 513–538. doi:10.1108/ijlm-05-2017-0134.
  • Kaisler, S., and F. Armour. 2017. “15 Years of Enterprise Architecting at HICSS: Revisiting the Critical Problems.” Proceedings of the 50th Hawaii International Conference on System Sciences (2017), Hawaii, USA. doi:10.24251/hicss.2017.585.
  • Kiron, D. 2014. “The Analytics Mandate.” MIT Sloan Management Review. May 13. https://sloanreview.mit.edu/projects/analytics-mandate/
  • Kogut, B., and U. Zander. 1992. “Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology.” Organization Science 3 (3): 383–397. doi:10.1287/orsc.3.3.383.
  • Krishnamoorthi, S., and S. K. Mathew. 2018. “Business Analytics and Business Value: A Comparative Case Study.” Information & Management 55 (5): 643–666. doi:10.1016/j.im.2018.01.005.
  • Kulkarni, U., J. Robles-Flores, and A. Popovič. 2017. “Business Intelligence Capability: The Effect of Top Management and the Mediating Roles of User Participation and Analytical Decision Making Orientation.” Journal of the Association for Information Systems 18 (7): 516–541. doi:10.17705/1jais.00462.
  • Kwon, O., N. Lee, and B. Shin. 2014. “Data Quality Management, Data Usage Experience and Acquisition Intention of Big Data Analytics.” International Journal of Information Management 34 (3): 387–394. doi:10.1016/j.ijinfomgt.2014.02.002.
  • Lai, Y., H. Sun, and J. Ren. 2018. “Understanding the Determinants of Big Data Analytics (BDA) Adoption in Logistics and Supply Chain Management.” The International Journal of Logistics Management 29 (2): 676–703. doi:10.1108/ijlm-06-2017-0153.
  • Lankhorst, M. 2013. Enterprise Architecture at Work: Modelling, Communication and Analysis. Berlin Etc.: Springer, Cop.
  • Liberatore, M. J., B. Pollack-Johnson, and S. H. Clain. 2016. “Analytics Capabilities and the Decision to Invest in Analytics.” Journal of Computer Information Systems 57 (4): 364–373. doi:10.1080/08874417.2016.1232995.
  • Lin, C., and A. Kunnathur. 2019. “Strategic Orientations, Developmental Culture, and Big Data Capability.” Journal of Business Research 105 (December): 49–60. doi:10.1016/j.jbusres.2019.07.016.
  • Malgonde, O., and A. Bhattacherjee. 2014. “Innovating Using Big Data: A Social Capital Perspective Research-In-Progress.” http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1672&context=amcis2014
  • Mandal, S. 2019. “The Influence of Big Data Analytics Management Capabilities on Supply Chain Preparedness, Alertness and Agility.” Information Technology & People 32 (2): 297–318. doi:10.1108/itp-11-2017-0386.
  • Mazzei, M. J., and D. Noble. 2017. “Big Data Dreams: A Framework for Corporate Strategy.” Business Horizons 60 (3): 405–414. doi:10.1016/j.bushor.2017.01.010.
  • Melville, N., K. Kraemer, and V. Gurbaxani. 2004. “Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value.” MIS Quarterly 28 (2): 283–322. Management Information Systems Research Center, University of Minnesota. doi:10.2307/25148636.
  • Mikalef, P., M. Boura, G. Lekakos, and J. Krogstie. 2019. “Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment.” British Journal of Management 30 (2): 272–298. doi:10.1111/1467-8551.12343.
  • Miles, M. B., A. M. Huberman, and J. Saldana. 2014. Qualitative Data Analysis: A Methods Sourcebook. Thousand Oaks, Calif.: Sage.
  • Nahapiet, J., and S. Ghoshal. 1998. “Social Capital, Intellectual Capital, and the Organizational Advantage.” The Academy of Management Review 23 (2): 242–266. Academy of Management. doi:10.2307/259373.
  • Narver, J. C., and S. F. Slater. 1990. “The Effect of a Market Orientation on Business Profitability.” Journal of Marketing 54 (4): 20. doi:10.2307/1251757.
  • Noblet, J., E. Simon, and R. Parent. 2011. “Absorptive Capacity: A Proposed Operationalization.” Knowledge Management Research & Practice 9 (4): 367–377. doi:10.1057/kmrp.2011.26.
  • Olszak, C. M. 2014. “Towards an Understanding Business Intelligence. A Dynamic Capability-Based Framework for Business Intelligence.” Proceedings of the 2014 Federated Conference on Computer Science and Information Systems xx (xx), Warsaw, Poland. doi:10.15439/2014f68.
  • Orlikowski, W. J. 2007. “Sociomaterial Practices: Exploring Technology at Work.” Organization Studies 28 (9): 1435–1448. doi:10.1177/0170840607081138.
  • Peskin, A. 1993. “The Goodness of Qualitative Research.” Educational Researcher 22 (2): 23–29. doi:10.3102/0013189x022002023.
  • Popovič, A., R. Hackney, R. Tassabehji, and M. Castelli. 2016. “The Impact of Big Data Analytics on Firms’ High Value Business Performance.” Information Systems Frontiers 20 (2): 209–222. doi:10.1007/s10796-016-9720-4.
  • Reich, B. H., and I. Benbasat. 1996. “Measuring the Linkage between Business and Information Technology Objectives.” MIS Quarterly 20 (1): 55. doi:10.2307/249542.
  • Richard, L. J., and G. G. Koch. 1977. “The Measurement of Observer Agreement for Categorical Data.” Biometrics 33 (1): 159–174. [Wiley, International Biometric Society]. doi:10.2307/2529310.
  • Rogers, E. M. 2003. Diffusion of Innovations. 5th ed. New York: Free Press.
  • Romero, D., and F. Vernadat. 2016. “Enterprise Information Systems State of the Art: Past, Present and Future Trends.” Computers in Industry 79 (June): 3–13. doi:10.1016/j.compind.2016.03.001.
  • Ross, J. W., P. Weill, and D. Robertson. 2006. Enterprise Architecture as Strategy: Creating a Foundation for Business Execution. Boston, Mass.: Harvard Business School Press.
  • Saggi, M. K., and S. Jain. 2018. “A Survey Towards an Integration of Big Data Analytics to Big Insights for Value-Creation.” Information Processing & Management 54 (5): 758–790. doi:10.1016/j.ipm.2018.01.010.
  • Schekkerman, J. 2004. How to Survive in the Jungle of Enterprise Architecture Frameworks: Creating or Choosing an Enterprise Architecture Framework. Victoria, B.C.: Trafford.
  • Schüll, A., and N. Maslan. 2018. “On the Adoption of Big Data Analytics: Interdependencies of Contextual Factors.” ICEIS.
  • Sebastian, I. M., J. W. Ross, C. Beath, M. Mocker, K. G. Moloney, and N. O. Fonstad. 2017. “How Big Old Companies Navigate Digital Transformation.” MIS Quarterly Execut 16: 197–213.
  • Seddon, J. J. J. M., and W. L. Currie. 2017. “A Model for Unpacking Big Data Analytics in High-Frequency Trading.” Journal of Business Research 70 (January): 300–307. doi:10.1016/j.jbusres.2016.08.003.
  • Seuring, S., and M. Müller. 2008. “From a Literature Review to a Conceptual Framework for Sustainable Supply Chain Management.” Journal of Cleaner Production 16 (15): 1699–1710. doi:10.1016/j.jclepro.2008.04.020.
  • Shuradze, G., and H. Wagner. 2016. “Towards a Conceptualization of Data Analytics Capabilities.” `italicbProceedings of the 49th Hawaii International Conference on System Sciences (HICSS)`/italicb, 2016, pp. 5052–5064. Hawaii, USA. doi: 10.1109/HICSS.2016.626.
  • Simon, D., and C. Schmidt. 2015. Business Architecture Management. Switzerland: Springer.
  • Sivarajah, U., M. M. Kamal, Z. Irani, and V. Weerakkody. 2017. “Critical Analysis of Big Data Challenges and Analytical Methods.” Journal of Business Research 70: 263–286. doi:10.1016/j.jbusres.2016.08.001.
  • Teece, D. J. 2000. “Strategies for Managing Knowledge Assets: The Role of Firm Structure and Industrial Context.” Long Range Planning 33 (1): 35–54. doi:10.1016/s0024-6301(99)00117-x.
  • Teece, D. J. 2007. “Explicating Dynamic Capabilities: The Nature and Microfoundations of (Sustainable) Enterprise Performance.” Strategic Management Journal 28 (13): 1319–1350. doi:10.1002/smj.640.
  • Teece, D. J. 2014. “The Foundations of Enterprise Performance: Dynamic and Ordinary Capabilities in an (Economic) Theory of Firms.” Academy of Management Perspectives 28 (4): 328–352. doi:10.5465/amp.2013.0116.
  • Teece, D. J., G. Pisano, and A. Shuen. 1997. “Dynamic Capabilities and Strategic Management.” Strategic Management Journal 18 (7): 509–533. doi:10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z.
  • The Open Group. 2018. “The TOGAF® Standard, Version 9.2.” Ht tps://P ublicat ions.o pengro up.o rg/. April. https://www.opengroup.org/togaf
  • Tornatzky, L. G., M. Fleischer, and C. K. Alok. 1990. Processes of Technological Innovation. Lexington, KY, USA: Lexington books.
  • Venkatesh, V., S. A. Brown, and H. Bala. 2013. “Bridging the Qualitative-Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information Systems.” MIS Quarterly 37 (1): 21–54. doi:10.25300/misq/2013/37.1.02.
  • Wade, M., and J. Hulland. 2004. “Review: The Resource-Based View and Information Systems Research: Review, Extension, and Suggestions for Future Research.” MIS Quarterly 28 (1): 107. doi:10.2307/25148626.
  • Walsham, G. 2006. “Doing Interpretive Research.” European Journal of Information Systems 15 (3): 320–330. doi:10.1057/palgrave.ejis.3000589.
  • Wamba, S. F., A. Gunasekaran, S. Akter, S. J. Ren, R. Dubey, and S. J. Childe. 2017. “Big Data Analytics and Firm Performance: Effects of Dynamic Capabilities.” Journal of Business Research 70 (xx): 356–365. doi:10.1016/j.jbusres.2016.08.009.
  • Wamba, S. F., S. Akter, and M. D. Bourmont. 2018. “Quality Dominant Logic in Big Data Analytics and Firm Performance.” Business Process Management Journal xx (June). doi:10.1108/bpmj-08-2017-0218.
  • Wang, Y., L. Kung, and T. A. Byrd. 2018. “Big Data Analytics: Understanding Its Capabilities and Potential Benefits for Healthcare Organizations.” Technological Forecasting and Social Change 126 (January): 3–13. doi:10.1016/j.techfore.2015.12.019.
  • Wang, Y., and N. Hajli. 2017. “Exploring the Path to Big Data Analytics Success in Healthcare.” Journal of Business Research 70 (January): 287–299. doi:10.1016/j.jbusres.2016.08.002.
  • Webster, J., and R. T. Watson. 2002. “Analyzing the past to Prepare for the Future: Writing a Literature Review.” MIS Quarterly 26 (2). https://web.njit.edu/~egan/Writing_A_Literature_Review.pdf
  • Wernerfelt, B. 1984. “A Resource-Based View of the Firm.” Strategic Management Journal 5 (2): 171–180. doi:10.1002/smj.4250050207.
  • Wetering, R. V., P. Mikalef, and J. Krogstie. 2019. “Big Data Is Power: Business Value from a Process Oriented Analytics Capability.” Business Information Systems Workshops xx (xx): 468–480. doi:10.1007/978-3-030-04849-5_41.
  • Williams, T. J. 1993. “The Purdue Enterprise Reference Architecture.” IFAC Proceedings Volumes 26 (2): 559–564. doi:10.1016/s1474-6670(17)48532-6.
  • Winter, S. G. 2003. “Understanding Dynamic Capabilities.” Strategic Management Journal 24 (10): 991–995. doi:10.1002/smj.318.
  • Xu, P., and K. Jongwoo. 2014. “Achieving Dynamic Capabilities with Business Intelligence.” Aisnet.org. https://aisel.aisnet.org/pacis2014/330
  • Zachman, J. A. 1987. “A Framework for Information Systems Architecture.” IBM Systems Journal 26 (3): 276–292. doi:10.1147/sj.263.0276.
  • Zahra, S. A., and G. George. 2002. “Absorptive Capacity: A Review, Reconceptualization, and Extension.” The Academy of Management Review 27 (2): 185. doi:10.2307/4134351.
  • Zollo, M., and S. G. Winter. 2002. “Deliberate Learning and the Evolution of Dynamic Capabilities.” Organization Science 13 (3): 339–351. doi:10.1287/orsc.13.3.339.2780.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.