Big Data in Capturing Business Value

References

• Aaltonen, A., & Tempini, N. (2014). Everything counts in large amounts: A critical realist case study on data-based production. Journal of Information Technology, 29(1), 97–110. doi:10.1057/jit.2013.29
   Web of Science ®Google Scholar
• Acharya, A., Singh, S. H., Pereira, V., & Poonam Singh, P. (2018). Big data, knowledge co-creation and decision making in fashion industry. International Journal of Information Management, 42, 90–101. doi:10.1016/j.ijinfomgt.2018.06.008
   Web of Science ®Google Scholar
• Alberti, F. G., & Varon Garrido, M. A. (2017). Can profit and sustainability goals co-exist? New business models for hybrid firms. Journal of Business Strategy, 38(1), 3–13. doi:10.1108/JBS-12-2015-0124
   Google Scholar
• An, Q., Wen, Y., Xiong, B., Yang, M., & Chen, X. (2017). Allocation of carbon dioxide emission permits with the minimum cost for Chinese provinces in big data environment. Journal of Clear Production, 142, 889–893.
   Web of Science ®Google Scholar
• Aral, S., Dellarocas, C., & Godes, D. (2013). Introduction to the special issue – Social media and business transformation: A framework for research. Information Systems Research, 24(1), 3–13. doi:10.1287/isre.1120.0470
   Web of Science ®Google Scholar
• Arora, A., & Nandkumar, A. (2012). Insecure advantage? Markets for technology and the value of resources for entrepreneurial ventures. Strategic Management Journal, 33, 231–251. doi:10.1002/smj.v33.3
   Web of Science ®Google Scholar
• Benthaus, J., Risius, M., & Beck, R. (2016). Social media management strategies for organizational impression management and their effect on public perception. Journal of Strategic Information Systems, 25(2), 127–139. doi:10.1016/j.jsis.2015.12.001
   Web of Science ®Google Scholar
• Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. (2013). Digital business strategy: Toward a next generation of insights. Special Issue: Digital Business Strategy MIS Quarterly, 37(2), 471–482. doi:10.25300/MISQ
   Web of Science ®Google Scholar
• Bhardawaj, A. S. (2000). A resource-based perspective on information technology capability and firm performance: An empirical investigation. MIS Quarterly, 24(1), 169–196. doi:10.2307/3250983
   Web of Science ®Google Scholar
• Bholat, D. (2015). Big data and central banks. Big Data Society, 2(1), 1–6. doi:10.1177/2053951715579469
   Web of Science ®Google Scholar
• Bibri, S., & Krogstie, J. (2017). ICT of the new wave of computing for sustainable urban forms: Their big data and context-aware augmented typologies and design concepts. Sustainable Cities and Society, 32, 449–474. doi:10.1016/j.scs.2017.04.012
   Web of Science ®Google Scholar
• Cech, T. G., Spaulding, T. K., & Cazier, J. A. (2015). Applying business analytic methods to improve organizational performance in the public school system. Proceedings of the Twenty-First Americas Conference on Information Systems, Puerto Rico, August 13 –15.
   Google Scholar
• Chen, C., & Zhang, C. Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on big data. Information Science, 275, 314–347. doi:10.1016/j.ins.2014.01.015
   Web of Science ®Google Scholar
• Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business intelligence and analytics: From Big data to big impact. MIS Quarterly, 36(4), 1–24. doi:10.2307/41703503
   Web of Science ®Google Scholar
• Chen, M., Mao, S., & Liu, Y. (2014). Big data: A survey. Mobile Networks and Applications, 19(2), 171–209. doi:10.1007/s11036-013-0489-0
   Web of Science ®Google Scholar
• D’Adderio, L. (2001). Crafting the virtual prototype how firms integrate knowledge and capabilities cross organizational boundaries. Research Policy, 30(9), 1409–1424. doi:10.1016/S0048-7333(01)00159-7
   Web of Science ®Google Scholar
• Das, T. K., & Kumar, P. M. (2013). Big data analytics: A framework for unstructured data analysis. International Journal of Engineering Science & Technology, 5(1), 153.
   Google Scholar
• The Data Warehousing Institute. (2013). TDWI launches big data maturity model assessment too. Retrieved from. http://tdwi.org/Articles/2013/11/20/TDWI-Launches-Big-Data-Maturity-Model-Assessment-Tool.aspx?Page=2.
   Google Scholar
• Davenport, T., Barth, P., & Bean, R. (2012). How big data is different. MIT Sloan Management Review, 54, 1.
   Web of Science ®Google Scholar
• Davenport, T. H. (2006). Competing on analytics. Harvard Business Review, 84(1), 98–107.
   PubMed Web of Science ®Google Scholar
• Davenport, T. H., & Harris, J. G. (2007). Competing on analytics. The new science on winning. Boston Massachusetts, MA: Harvard Business School Press.
   Google Scholar
• Di Gangi, P. M., Wasko, M. M., & Hooker, R. E. (2010). Getting customers’ idea to work for you: Learning from Dell how to success with online user innovation communities. MIS Quarterly Executive, 9(4), 213–228.
   Web of Science ®Google Scholar
• Dong, J. Q., & Wu, W. (2015). Business value of social media technologies: Evidence from online user innovation communities. Journal of Strategic Information Systems, 24(2), 113–127. doi:10.1016/j.jsis.2015.04.003
   Web of Science ®Google Scholar
• Drucker, P. (2014). Innovation and entrepreneurship. New York NY: Routledge.
   Google Scholar
• Erickson, G., & Rothberg, H. (2013). Competitors, intelligence, and big data. In J. Liebowitz (Ed.), Big data and business analytics (pp. 103–115). Boca Raton, FL: CRC Press, Taylor & Francis Group, LLC.
   Google Scholar
• Erl, T., Khattak, W., & Buhler, P. (2015). Big data fundamentals: Concepts, drivers & techniques. Boston, MA: Prentice Hall.
   Google Scholar
• Feeny, D. F., & Willcocoks, L. P. (1998). Core IS capabilities for exploiting information technology. Sloan Management Review, 39(3), 9–21.
   Google Scholar
• Ferguson, M. (2012). Architecting a big data platform for analytics. IBM, white paper, Retrieved from http://www.ibmbigdatahub.com/whitepaper/architecting-big-data-platform-analytics
   Google Scholar
• Fink, L., Yogew, N., & Even, A. (2017). Business intelligence and organizational learning: An empirical investigation of value creation process. Information & Management, 54, 38–56. doi:10.1016/j.im.2016.03.009
   Web of Science ®Google Scholar
• Gartner IT Glossary. (2015). Retrieved from http://www.gartner.com/it-glossary/big-data.
   Google Scholar
• George, G., Haas, M. R., & Pentland, A. (2014). Big data and management. Academy of Management Journal, 57(2), 321–326. doi:10.5465/amj.2014.4002
   Web of Science ®Google Scholar
• Ghoshal, A., Larson, E. C., Subramanyam, R., & Shaw, M. J. (2014). The impact of business analytics strategy on social, mobile, and cloud computing adoption. Proceedings of the Thirty Fifth International International Conference on Information Systems, Auckland, New Zealand, December 14 –17.
   Google Scholar
• Gillon, K., Aral, S., Lin, C., Mithas, S., & Zozulia, M. (2014). Business analytics: Radical shift or incremental change? Communications of the Association Information Systems, 34(13), 287–296. doi:10.17705/1CAIS.03413
   Google Scholar
• Goes, P. B. (2014). Big data and IS research. MIS Quarterly, 38(3), iii–viii.
   Web of Science ®Google Scholar
• Günther, W. A., Rezazade Mehrizi, M. H., Huysman, M., & Feldberg, F. (2017). Debating big data: A literature review on realizing value from big data. Journal of Strategic Information Systems, 26, 191–209. doi:10.1016/j.jsis.2017.07.003
   Web of Science ®Google Scholar
• Hagen, C., Khan, K., Ciobo, M., Miller, J., Wall, D., Evans, H., & Yadav, A. (2013). Big data and the creative destruction of today’s business models. ATKerney, Retrieved from https://www.atkearney.de/documents/10192/698536/Big+Data+and+the+Creative+Destruction+of+Todays+Business+Models.pdf/f05aed38-6c26-431d-8500-d75a2c384919.
   Google Scholar
• Hannula, M., & Pirttimaki, V. (2003). Business intelligence empirical study on the top 50 Finnish companies. J Am Acad Bus Camb, 2(2), 593–599.
   Google Scholar
• Himmi, K., Arcondara, J., Guan, P., & Zhou, W. (2017). Value oriented Big data strategy: Analysis & case study. Proceedings of 50th Hawaii International Conference on System Sciences, Hawaii,  Big Island.
   Google Scholar
• Hsu, D. H., & Ziedonis, R. H. (2013). Resource as dual sources of advantage: Implications for valuing entrepreneurial – Firm patents. Strategic Management Journal, 34, 761–781. doi:10.1002/smj.2037
   Web of Science ®Google Scholar
• Iafrate, F. (2014). A journey from Big data to smart data. Digital enterprise design & management. Advances in Intelligent Systems and Computing, 261, 25–33.
   Google Scholar
• IBM. (2012). IBM Big data: A collection of Big data client success stories. Retrieved from ftp://ftp.software.ibm.com/software/data/sw-library/big-data/ibm-big-datasuccess.pdf
   Google Scholar
• Ishikawa, A., & Nakagawa, J. (2013). An introduction to knowledge information strategy. From business intelligence to knowledge sciences. London, England: World Scientific.
   Google Scholar
• Jia, L., Hall, D., & Song, J. (2015). The conceptualization of data-driven decision-making capability. Proceedings of the Twenty-First Americas Conference on Information Systems, Puerto Rico, August 13 –15.
   Google Scholar
• Kaisler, S., Aromour, F., Epinosa, A., & Money, W. (2013). Big Data: Issues and challenges moving forward. Proceedings of 46th Hawaii International Conference on System Science, 995–1004, Hawaii, Maui.
   Google Scholar
• Kim, G., Trimi, S., & Chung, J. (2014). Big-data applications in the government sector. Communications of ACM, 57(3), 78–85. doi:10.1145/2500873
   Web of Science ®Google Scholar
• Knabke, T., & Olbrich, S. (2015). Exploring the future shape of business intelligence: Mapping dynamic capabilities of information systems to business intelligence agility. Proceedings of the Twenty-First Americas Conference on Information Systems, Puerto Rico, August 13 –15.
   Google Scholar
• LaValle, S., Lesser, E., Shockley, R., Hopkins, M., & Kruschwitz, N. (2011). Big data, analytics and the path from insigths to value. MIT Sloan Management Review, 52(2), 21–31.
   Web of Science ®Google Scholar
• Lavie, D., Stettner, U., & Tushman, M. L. (2010). Exploration and exploitation within and across organizations. The Academy of Management Annals, 4(1), 109–155. doi:10.1080/19416521003691287
   Web of Science ®Google Scholar
• Leadership (2015). Leadership council for information advantage. Big Data: Big Opportunities to Create Business Value, Retrieved from http://www.emc.com/microsites/cio/articles/big-data-big-opportunities/LCIA-BigData-Opportunities-Value.pdf.
   Google Scholar
• Levinthal, D. A., & March, J. G. (1993). The Myopia of learning. Strategic Management Journal, 14, 95–112. Special Issue doi:10.1002/(ISSN)1097-0266
   Web of Science ®Google Scholar
• Loebbecke, C., & Picot, A. (2015). Reflections on societal and business model transformation and risking from digitalization and big data analytics: A research agenda. Strategic Information Systems, 24(3), 149–157. doi:10.1016/j.jsis.2015.08.002.
   Web of Science ®Google Scholar
• Malgonde, O., & Bhattacherjee, A. (2014). Innovating using big data: A social capital perspective. Proceedings of the Twentieth Americas Conference on Information Systems, Savannah, Georgia, USA, August 7 –9.
   Google Scholar
• Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., & Byers, A. H. (2011). Big data: The next frontier for innovation, competition, and productivity. KY: McKinsey Global Institute.
   Google Scholar
• Markus, M. L., & Topi, H. (2015). Big data, big decisions for science, society, and business: Report on a research agenda setting workshop. ACM Technical Report, Retrieved from http://dl.acm.org/citation.cfm?id=2849516.
   Google Scholar
• McAfee, A., & Brynjolfsson, E. (2012). Big data: The management revolution. Harvard Business Review, October 59–69.
   Web of Science ®Google Scholar
• Microsoft. (2016), Microsoft analytics platform system. Retrieved from https://www.microsoft.com/en-us/server-cloud/products/analytics-platformhttps://www.microsoft.com/en-us/server-cloud/products/analytics-platform-system/overview.aspxsystem/overview.aspx.
   Google Scholar
• Nelson, G. S. (2010). Business Intelligence 2.0: Are we there yet? SAS global forum. Business intelligence/Analytics, Retrieved from http://support.sas.com/resources/papers/proceedings10/040-2010.pdf.
   Google Scholar
• Newell, S., & Marabelli, M. (2015). Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of ’datafication. Journal of Strategic Information Systems, 24(1), 3–14. doi:10.1016/j.jsis.2015.02.001
   Web of Science ®Google Scholar
• Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company. Oxford, England: University Press.
   Google Scholar
• O’Driscoll, T. (2014). Can big Data deliver added value. Training, 51(2), 51.
   Google Scholar
• Olszak, C. M. (2016). Toward better understanding and use of business intelligence in organizations. Information Systems Management, 33(2), 105–123. doi:10.1080/10580530.2016.1155946
   Web of Science ®Google Scholar
• Olszak, C. M., Bartuś, T., & Lorek, P. (2018). A comprehensive framework of information system design to provide organizational creativity support. Information & Management, 55, 94–108. doi:10.1016/j.im.2017.04.004
   Web of Science ®Google Scholar
• Olszak, C. M., & Kisielnicki, J. (2018). A conceptual framework of information systems for organizational creativity support. Lessons from empirical investigations. Information Systems Management, 35(1), 29–48. doi:10.1080/10580530.2017.1416945
   Web of Science ®Google Scholar
• Parise, S., Iyer, B., & Vesset, D. (2012, July). Four strategies to capture and crate value from big data. Ivey Business Journal, 76(4), 1–5. Retrieved from http://iveybusinessjournal.com/publication/four-strategies-to-capture-and-createhttp://iveybusinessjournal.com/publication/four-strategies-to-capture-and-create-value-from-big-data/value-from-big-data/
   Google Scholar
• Peteraf, M. A. (1993). The cornerstones of competitive advantage: A resource-based view. Strategic Management Journal, 14, 179–191. doi:10.1002/(ISSN)1097-0266
   Web of Science ®Google Scholar
• Prahalad, C. K., & Ramaswamy, V. (2004). Co-creation experiences: The next practice in value creation. Journal of Interactive Marketing, 18(3), 5–14. doi:10.1002/dir.20015
   Google Scholar
• Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: Promise and potential. Health Information Society Systems, 2(3), 1–10. doi:10.1186/2047-2501-2-3
   PubMedGoogle Scholar
• Rising, C. J., Kristensen, M., & Tjerrild- Hansen, S. (2014). Is Big data too big for SMEs? Leading trends in information technology. Stanford: Stanford University.
   Google Scholar
• Ross, J., Beath, C. M., & Goodhue, D. L. (1996). Develop long-term competitiveness trough IT assets. Sloan Management Review, 39(1), 31–42.
   Google Scholar
• Sampri, A., Mavragani, A., & Tsagarakis, K. (2016). Evaluating Google trends as a tool for integrating the smart health concept in the smart cities governance in USA. Proccedia Engineering, 162, 585–592. doi:10.1016/j.proeng.2016.11.104
   Google Scholar
• Schick, A., Frolick, M., & Ariyachandra, T. (2011). Competing with BI and analytics at monster worldwide. Proceedings of the 44 Hawaii International Conference on System Sciences, Hawaii.
   Google Scholar
• Schmarzo, B. (2013). Big Data: Understanding how data powers big business. Indianapolis: John Wiley and Sons.
   Google Scholar
• Shang, S., & Seddon, P. B. (2002). Assessing and managing the benefits of enterprise systems: The business manager’s perspective. Information Systems Journal, 12(4), 271–299. doi:10.1046/j.1365-2575.2002.00132.x
   Web of Science ®Google Scholar
• Shollo, A., & Galliers, R. D. (2015). Towards an understanding of the role of business intelligence systems in organizational knowing. Information Systems Journal, 26(4), 339–367. doi:10.1111/isj.120.
   Web of Science ®Google Scholar
• Sirmon, D. G., Hitt, M. A., Ireland, R. D., & Gilbert, B. A. (2011). Resource orchestration to create competitive advantage: Breadth, depth, and life cycle effects. Journal of Management, 37, 1390–1412. doi:10.1177/0149206310385695
   Web of Science ®Google Scholar
• Tan, C., Sun, L., & Liu, K. (2015). Big data architecture for pervasive healthcare: A literature review. Proceedings of the Twenty-Third European Conference on Information Systems, Münster, Germany, May 26 –29.
   Google Scholar
• Technology and Innovation Report. (2018). Harnessing frontier technologies for sustainable development, United Nations Conference on Trade and Development, UNCTAD, United Nations.
   Google Scholar
• Teece, D. J. (2010). Business models, business strategy and innovation. Long Range Planning, 43, 172–194. doi:10.1016/j.lrp.2009.07.003
   Web of Science ®Google Scholar
• Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18, 509–533. doi:10.1002/(ISSN)1097-0266
   Web of Science ®Google Scholar
• Tushman, M. L., & O’Reilly, C. A. (2004). Ambidextrous organization. Harvard Business Review, 82, 74–81. Retrieved from http://hbr.org/product/ambidextrous-organization/an/R0404D-PDF-ENG
   PubMed Web of Science ®Google Scholar
• Tyagi, S. (2003). Using data analytics for greater profits. Journal of Business Strategy, 24(3), 12–14. doi:10.1108/02756660310734938
   Google Scholar
• Ularu, E. G., Apostu, A., Puican, F. C., & Velicanum, M. (2012). Perspectives on Big data and Big data analytics. Database Systems Journal, 3, 4.
   Google Scholar
• Urbinati, A., Bogers, M., Chiesa, V., & Frattini, F. (2018). Creating and capturing value from Big Data: A multiple-case study analysis of provider companies. Technovation, Retrieved from https://www.sciencedirect.com/science/article/pii/S0166497218300361?via%3Dihub.
   Google Scholar
• Vargo, S. L., & Lusch, R. F. (2004). Evolving to a new dominant logic for marketing. Journal of Marketing, 68(1), 1–17. doi:10.1509/jmkg.68.1.1.24036
   Web of Science ®Google Scholar
• Wade, M., & Hulland, J. (2004). Review: The resource-based view and information systems research: Review, extension, and suggestions for future research. MIS Quarterly, 28(1), 107–142. doi:10.2307/25148626
   Web of Science ®Google Scholar
• Wales, W. J., Patel, P. C., & Kreiser, P. M. (2013). Nonlinear effects of entrepreneurial orientation on small firm performance: The moderating role of resource orchestration capabilities. Strategic Entrepreneurship Journal, 7, 93–121. doi:10.1002/sej.1153
   Web of Science ®Google Scholar
• 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. doi:10.1016/j.ijpe.2014.12.031
   Web of Science ®Google Scholar
• Wang, Y., Kung, L., Wang, W. Y. C., & Cegielski, C. C. (2018). An integrated big data analytics-enabled transformation model: Application to health care. Information & Management, 55, 64–79. doi:10.1016/j.im.2017.04.001
   Web of Science ®Google Scholar
• Watson, H. J., & Wixom, B. (2007). Enterprise agility and mature BI capabilities. Business Intelligence Journal, 12(3), 4–6.
   Google Scholar
• Webster, J., & Watson, R. T. (2002). Analyzing the past to prepare for the future: Writing a literature review. MIS Quarterly, 26(2), XIII–XXIII.
   Web of Science ®Google Scholar
• Woerner, S. L., & Wixom, B. H. (2015). Big data: Extending the business strategy toolbox. Journal of Information Technology, 30(1), 60–62. doi:10.1057/jit.2014.31
   Web of Science ®Google Scholar
• Zahra, S. A., Sapienza, H. J., & Davidsson, P. (2006). Entrepreneurship and dynamic capabilities: A review, model, and research agenda. Journal of Management Studies, 43, 917–955. doi:10.1111/joms.2006.43.issue-4
   Web of Science ®Google Scholar