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The Effects of Operational and Financial Performance Failure on BI&A-Enabled Search Behaviors: A Theory of Performance-Driven Search

Author

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  • Abhijith Anand

    (Department of Information Systems, Sam M. Walton College of Business, University of Arkansas, Fayetteville, Arkansas 72701)

  • Rajeev Sharma

    (Waikato Management School, University of Waikato, Hillcrest, Hamilton 3240, New Zealand)

  • Rajiv Kohli

    (Raymond A. Mason School of Business, William & Mary, Williamsburg, Virginia 23187)

Abstract

Business intelligence and analytics (BI&A) systems enable firms to analyze data and search for insights that could potentially lead to improved organizational performance. While there is evidence that BI&A systems can improve performance through search, our theoretical understanding of how and under what conditions firms leverage BI&A systems to conduct search is rather limited. In particular, while problemistic search theory posits that performance failures motivate search, how firms respond to different types of performance failures remains unclear. We draw on and extend problemistic search theory by theorizing that BI&A-enabled search is influenced by complex interactions between failures in financial and operational performance and performance-related aspirations. We refer to this notion as the Theory of Performance-driven Search (TPS) and test it using longitudinal data gathered for a four-year period from seven U.S. hospitals. We find evidence that firms employ BI&A systems to search in a narrow set of circumstances. We find that performance failures are an important antecedent of BI&A-enabled search. In particular, failures in financial performance, failures in operational performance, and their joint failures are important conditions that trigger BI&A-enabled search. We find that historical and social aspiration levels of financial and operational performance influence BI&A-enabled search during failures in operational performance. We also find that only in organizations experiencing a sustained failure in financial performance do operational performance failures trigger BI&A-enabled search and that the latency of search response is dependent on the speed of failure in financial performance. Through our findings, we make two important contributions: we extend the business value of IT literature by identifying the contextual conditions that trigger BI&A use for search and we extend problemistic search theory by theorizing for the differential effects of operational and financial performance failures.

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  • Abhijith Anand & Rajeev Sharma & Rajiv Kohli, 2020. "The Effects of Operational and Financial Performance Failure on BI&A-Enabled Search Behaviors: A Theory of Performance-Driven Search," Information Systems Research, INFORMS, vol. 31(4), pages 1144-1163, December.
    • Handle: RePEc:inm:orisre:v:31:y:2020:i:4:p:1144-1163
    DOI: 10.1287/isre.2020.0936
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    as
    1. Xu, Zhenning & Frankwick, Gary L. & Ramirez, Edward, 2016. "Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective," Journal of Business Research, Elsevier, vol. 69(5), pages 1562-1566.
    2. Andrew Burton-Jones & Detmar W. Straub, 2006. "Reconceptualizing System Usage: An Approach and Empirical Test," Information Systems Research, INFORMS, vol. 17(3), pages 228-246, September.
    3. Ittner, Christopher D. & Larcker, David F. & Randall, Taylor, 2003. "Performance implications of strategic performance measurement in financial services firms," Accounting, Organizations and Society, Elsevier, vol. 28(7-8), pages 715-741.
    4. Bruce Hollingsworth, 2008. "The measurement of efficiency and productivity of health care delivery," Health Economics, John Wiley & Sons, Ltd., vol. 17(10), pages 1107-1128, October.
    5. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    6. Pasi Kuusela & Thomas Keil & Markku Maula, 2017. "Driven by aspirations, but in what direction? Performance shortfalls, slack resources, and resource-consuming vs. resource-freeing organizational change," Strategic Management Journal, Wiley Blackwell, vol. 38(5), pages 1101-1120, May.
    7. Lynn Wu & Lorin Hitt & Bowen Lou, 2020. "Data Analytics, Innovation, and Firm Productivity," Management Science, INFORMS, vol. 66(5), pages 2017-2039, May.
    8. Songcui Hu & Zi-Lin He & Daniela P. Blettner & Richard A. Bettis, 2017. "Conflict inside and outside: Social comparisons and attention shifts in multidivisional firms," Strategic Management Journal, Wiley Blackwell, vol. 38(7), pages 1435-1454, July.
    9. Vibha Gaba & John Joseph, 2013. "Corporate Structure and Performance Feedback: Aspirations and Adaptation in M-Form Firms," Organization Science, INFORMS, vol. 24(4), pages 1102-1119, August.
    10. Eero Vaara & Paulina Junni & Riikka M. Sarala & Mats Ehrnrooth & Alexei Koveshnikov, 2014. "Attributional tendencies in cultural explanations of M&A performance," Strategic Management Journal, Wiley Blackwell, vol. 35(9), pages 1302-1317, September.
    11. Mark Washburn & Philip Bromiley, 2012. "Comparing Aspiration Models: The Role of Selective Attention," Journal of Management Studies, Wiley Blackwell, vol. 49(5), pages 896-917, July.
    12. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
    13. Lori Rosenkopf & Paul Almeida, 2003. "Overcoming Local Search Through Alliances and Mobility," Management Science, INFORMS, vol. 49(6), pages 751-766, June.
    14. Thomas P. Moliterno & Nikolaus Beck & Christine M. Beckman & Mark Meyer, 2014. "Knowing Your Place: Social Performance Feedback in Good Times and Bad Times," Organization Science, INFORMS, vol. 25(6), pages 1684-1702, December.
    15. Eero Vaara & Paulina Junni & Riikka M. Sarala & Mats Ehrnrooth & Alexei Koveshnikov, 2014. "Attributional Tendencies in Cultural Explanations of M&A Performance," Post-Print hal-02313178, HAL.
    16. Wei Yu & Maria Minniti & Robert Nason, 2019. "Underperformance duration and innovative search: Evidence from the high‐tech manufacturing industry," Strategic Management Journal, Wiley Blackwell, vol. 40(5), pages 836-861, May.
    17. Vidgen, Richard & Shaw, Sarah & Grant, David B., 2017. "Management challenges in creating value from business analytics," European Journal of Operational Research, Elsevier, vol. 261(2), pages 626-639.
    18. Sarv Devaraj & Rajiv Kohli, 2003. "Performance Impacts of Information Technology: Is Actual Usage the Missing Link?," Management Science, INFORMS, vol. 49(3), pages 273-289, March.
    19. John Joseph & Ronald Klingebiel & Alex James Wilson, 2016. "Organizational Structure and Performance Feedback: Centralization, Aspirations, and Termination Decisions," Organization Science, INFORMS, vol. 27(5), pages 1065-1083, October.
    20. O'Connor, Neale G. & Deng, Johnny & Luo, Yadong, 2006. "Political constraints, organization design and performance measurement in China's state-owned enterprises," Accounting, Organizations and Society, Elsevier, vol. 31(2), pages 157-177, February.
    21. Klingenberg, Beate & Timberlake, Rachel & Geurts, Tom G. & Brown, Roger J., 2013. "The relationship of operational innovation and financial performance—A critical perspective," International Journal of Production Economics, Elsevier, vol. 142(2), pages 317-323.
    22. Mikalef, Patrick & Boura, Maria & Lekakos, George & Krogstie, John, 2019. "Big data analytics and firm performance: Findings from a mixed-method approach," Journal of Business Research, Elsevier, vol. 98(C), pages 261-276.
    23. Robin L. Dillon & Catherine H. Tinsley, 2008. "How Near-Misses Influence Decision Making Under Risk: A Missed Opportunity for Learning," Management Science, INFORMS, vol. 54(8), pages 1425-1440, August.
    24. Sebastian Raisch & Julian Birkinshaw & Gilbert Probst & Michael L. Tushman, 2009. "Organizational Ambidexterity: Balancing Exploitation and Exploration for Sustained Performance," Organization Science, INFORMS, vol. 20(4), pages 685-695, August.
    25. Mathew L. A. Hayward & Violina P. Rindova & Timothy G. Pollock, 2004. "Believing one's own press: the causes and consequences of CEO celebrity," Strategic Management Journal, Wiley Blackwell, vol. 25(7), pages 637-653, July.
    26. Stephen J. Mezias & Ya-Ru Chen & Patrice R. Murphy, 2002. "Aspiration-Level Adaptation in an American Financial Services Organization: A Field Study," Management Science, INFORMS, vol. 48(10), pages 1285-1300, October.
    27. Juha Uotila & Markku Maula & Thomas Keil & Shaker A. Zahra, 2009. "Exploration, exploitation, and financial performance: analysis of S&P 500 corporations," Strategic Management Journal, Wiley Blackwell, vol. 30(2), pages 221-231, February.
    28. Wei-Ru Chen, 2008. "Determinants of Firms' Backward- and Forward-Looking R&D Search Behavior," Organization Science, INFORMS, vol. 19(4), pages 609-622, August.
    29. Diwas Singh KC & Christian Terwiesch, 2011. "The Effects of Focus on Performance: Evidence from California Hospitals," Management Science, INFORMS, vol. 57(11), pages 1897-1912, November.
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