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Explaining the IT Value Through the Information Support of Decision-Making

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Digitalization of Society, Economics and Management

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 53))

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Abstract

The issue of how IT impact the performance of an organization is still not fully explained. Many researchers believe that this effect is based on the automation of business processes and the replacement of unskilled routine labor. However, this does not explain the expected impact of digital transformation, since it offers completely new models. Relying on the achievements of organization theory, we suggest that the impact of IT on performance is realized through the quality of decision-making. We analyze the role of information processing in decision-making, identify the sources of inefficiency, which can be associated with incorrect assessment, lack or excess of information. Next, we revise the organization’s design strategies and classify the information systems according to their information processing capabilities. The proposed approach can explain the way how IT impact is created and manifested both for traditional enterprise information systems and for new digital technologies.

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References

  1. Dedrick, J., Gurbaxani, V., & Kraemer, K. (2003). Information technology and economic performance: A critical review of the empirical evidence. ACM Computing Surveys (CSUR), 35(1), 1–28.

    Google Scholar 

  2. Bresnahan, T. F., Brynjolfsson, E., & Hitt, L. M. (2002). Information technology, workplace organization, and the demand for skilled labor: Firm-level evidence. The Quarterly Journal of Economics, 117(1), 339–376.

    Google Scholar 

  3. Brynjolfsson, E., & Saunders, A. (2009). Wired for innovation: How information technology is reshaping the economy. MIT Press.

    Google Scholar 

  4. Tambe, P., & Hitt, L. M. (2012). The productivity of information technology investments: new evidence from it labor data. Information Systems Research, 23:3(1), 599–617.

    Google Scholar 

  5. Chae, H. C., Koh, C. E., & Prybutok, V. (2014). Information technology capability and firm performance: Contradictory findings and their possible causes. MIS Quarterly, 38(1), 305–326.

    Google Scholar 

  6. Kohli, R., & Grover, V. (2008). Business value of IT: An essay on expanding research directions to keep up with the times. Journal of the Association for Information System, 9(1), 23–39.

    Google Scholar 

  7. Mithas, S., & Rust, R. (2016). How information technology strategy and investments influence firm performance: Conjecture and empirical evidence. MIS Quarterly, 40(1), 223–245.

    Google Scholar 

  8. Melville, N., Kraemer, K., & Gurbaxani, V. (2004). Review: Information technology and organizational performance: An integrative model of IT business value. MIS Quarterly, 28(2), 283–322.

    Google Scholar 

  9. Prajogo, D., Toy, J., Bhattacharya, A., Oke, A., & Cheng, T. (2018). The relationships between information management, process management and operational performance: Internal and external contexts. International Journal of Production Economics, 199, 95–103.

    Google Scholar 

  10. Saunders, C., & Jones, J. W. (1990). Temporal sequences in information acquisition for decision making: A focus on source and medium. Academy of Management Review, 15(1), 29–46.

    Google Scholar 

  11. Milgrom, P., & Roberts, J. (1992). Economics. Prentice-Hall.

    Google Scholar 

  12. Simon, H. A. (1977). The new science of management decision. Prentice-Hall.

    Google Scholar 

  13. Joseph, J., & Gaba, V. (2020). Organizational structure, information processing, and decision-making: A retrospective and road map for research. Academy of Management Annals, 14(1), 267–302.

    Google Scholar 

  14. Mintzberg, H., Raisinghani, D., & Theoret, A. (1976). The structure of unstructured decision processes. Administrative Science Quarterly, 21(2), 246–275.

    Google Scholar 

  15. Cohen, M. D., & Olsen, J. P. (1972). A garbage can model of organizational choice. Administrative Science Quarterly, 17(1), 1–25.

    Google Scholar 

  16. Galbraith, J. R. (1974). Organizational design: An information processing view. Interfaces, 4(3), 28–36.

    Google Scholar 

  17. David, P. A. (1990). The dynamo and the computer: An historical perspective on the modern productivity paradox. The American Economic Review, 80, 355–361.

    Google Scholar 

  18. Milgrom, P., & Roberts, J. (1990). The economics of modern manufacturing: Technology, strategy, and organization. The American Economic Review, 80, 511–528.

    Google Scholar 

  19. Sabherwal, R., & Jeyaraj, A. (2015). Information technology impacts on firm performance: An extension of kohli and devaraj (2003). MIS Quarterly, 39(4), 809–836.

    Google Scholar 

  20. Mithas, S., Ramasubbu, N., & Sambamurthy, V. (2011). How information management capability influences firm performance. MIS Quarterly, 35(1), 237–256.

    Google Scholar 

  21. Nunamaker, Jr, J. F., & Briggs, R. O. (2011). Toward a broader vision for information systems. ACM Transactions on Management Information System, 2:4(20).

    Google Scholar 

  22. Liu, H., Ke, W., Wei, K. K., & Hua, Z. (2013). The impact of IT capabilities on firm performance: The mediating roles of absorptive capacity and supply chain agility. Decision Support Systems, 54(3), 1452–1462.

    Google Scholar 

  23. Devece, C., Palacios, D., & Martinez-Simarro, D. (2017). Effect of information management capability on organizational performance. Service Business, 11, 563–580.

    Google Scholar 

  24. Kathuria, A., Saldanha, T., Khuntia, J., & Rojas, M. (2016). How information management capability affects innovation capability and firm performance under turbulence: Evidence from india. In Proceedings of the ICIS.

    Google Scholar 

  25. Brinkhues, R. A., da Silva, J., da Silva Freitas, J., Maçada, A., & Dolci, P. (2019). IT ambidexterity, organizational agility and information management capability: A brazilian case. In Proceedings of the 25 ACIS.

    Google Scholar 

  26. Bharadwaj, A., El Sawy, O., Pavlou, P., & Venkatraman, N. (2013). Digital business strategy: Toward a next generation of insights. MIS Quarterly, 37(2), 471–482.

    Google Scholar 

  27. Müller, O., Fay, M., & vom Brocke, J. (2018). The effect of big data and analytics on firm performance: An econometric analysis considering industry characteristics. Journal of Management Information Systems, 35(2), 488–509.

    Google Scholar 

  28. Brynjolfsson, E., & McElheran, K. (2016). The rapid adoption of data-driven decision-making. The American Economic Review, 106(5), 133–139.

    Google Scholar 

  29. Agrawal, A., Gans, J. S., & Goldfarb, A. (2019). Exploring the impact of artificial intelligence: Prediction versus judgment. Information Economics and Policy, 47, 1–6.

    Google Scholar 

  30. Makridakis, S. (2017). The forthcoming artificial intelligence (AI) revolution: Its impact on society and firms. Futures, 90, 46–60.

    Google Scholar 

  31. Lyytinen, K., & Newman, M. (2008). Explaining information systems change: A punctuated socio-technical change model. European Journal of Information Systems, 17(6), 589–613.

    Google Scholar 

  32. Tushman, M., & Nadler, D. (1978). Information processing as an integrating concept in organizational design. The Academy of Management Review, 3(3), 613–624.

    Google Scholar 

  33. Aydiner, A. S., Tatoglu, E., Bayraktar, E., & Zaim, S. (2019). Information system capabilities and firm performance: Opening the black box through decision-making performance and business-process performance. International Journal of Information Management, 47, 168–182.

    Google Scholar 

  34. Davenport, T. H., & Prusak, L. (1998). Working knowledge: How organizations manage that they know. Harvard Business Press.

    Google Scholar 

  35. Choo, C. W. (2006). The knowing organization: How organizations use information to construct meaning. Create Knowledge and Make Decisions. Oxford University Press.

    Google Scholar 

  36. Nonaka, I., & Takeuchi, H. (1995). The knowledge- creating company: How japanese companies create the dynamics of innovation. Oxford University Press.

    Google Scholar 

  37. Alavi, M., & Leidner, D. E. (2001). Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1), 107–136.

    Google Scholar 

  38. Bierman, D. J., Destrebecqz, A., & Cleeremans, A. (2005). Intuitive decision making in complex situations: Somatic markers in an artificial grammar learning task. Cognitive, Affective, and Behavioral Neuroscience, 5(3), 297–305.

    Google Scholar 

  39. Patton, J. R. (2003). Intuition in decisions. Management Decision, 41(10), 989–996.

    Google Scholar 

  40. Huarng, K. H., Mas-Tur, A., & Moreno, F. C. (2018). Innovation, knowledge, judgment, and decision-making as virtuous cycles. Journal of Business Research, 88, 278–281.

    Google Scholar 

  41. Zelenkov, Y. (2018). Agility of enterprise information systems: A conceptual model, design principles and quantitative measurement. Business Informatics, 2, 30–44.

    Google Scholar 

  42. Zelenkov, Y. (2015). Critical regular components of IT strategy: Decision making model and efficiency measurement. Journal of Management Analytics, 2(2), 95–110.

    Google Scholar 

  43. Eppler, M., & Mengis, J. (2004). The concept of information overload: A review of literature from organization science, accounting, marketing, mis, and related disciplines. The Information Society, 20(5), 325–344.

    Google Scholar 

  44. Zelenkov, Y. (2017). Information efficiency, information design and information system of an organization. Business Informatics, 2, 25–32.

    Google Scholar 

  45. Leffingwell, D. (2007). Scaling software agility: Best practices for large enterprises. Addison-Wesley.

    Google Scholar 

  46. Zelenkov, Y. (2015). Business and IT alignment in turbulent business environment. LNBIP. In W. Abramowicz (Ed.), BIS 2015 Workshops (Vol. 228, pp. 101–112). Springer.

    Google Scholar 

  47. Gaviria-Marin, M., Merigó, J. M., & Baier-Fuentes, H. (2019). Knowledge management: A global examination based on bibliometric analysis. Technological Forecasting and Social Change, 140, 194–220.

    Google Scholar 

  48. Nahapiet, J., & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. Academy of Management Review, 23(2), 242–266.

    Google Scholar 

  49. Andreeva, T., & Kianto, A. (2012). Does knowledge management really matter? linking knowledge management practices, competitiveness and economic performance. Journal of Knowledge Management, 16(4), 617–636.

    Google Scholar 

  50. Ragab, M., & Arisha, A. (2013). Knowledge management and measurement: A critical review. Journal of Knowledge Management, 17(6), 873–901.

    Google Scholar 

  51. Hayes, N. (2011). Information technology and the possibilities for knowledge sharing. In M. Easterby-Smith & M. Lyles (Eds.), Handbook of organizational learning and knowledge management, pp. 83--95. Wiley.

    Google Scholar 

  52. Davenport, T. H. (2005). Thinking for a living: How to get better performances and results from knowledge workers. Harvard Business School Press.

    Google Scholar 

  53. Wiig, K. (2004). People-focused knowledge management: How effective decision-making leads to corporate success. Elsevier.

    Google Scholar 

  54. Hwang, Y., Kettinger, W. J., & Mun, Y. Y. (2015). Personal information management effectiveness of knowledge workers: Conceptual development and empirical validation. European Journal of Information Systems, 24(6), 588–606.

    Google Scholar 

  55. Von Krogh, G. (2012). How does social software change knowledge management? toward a strategic research agenda. The Journal of Strategic Information Systems, 21(2), 154–164.

    Google Scholar 

  56. Kuegler, M., Smolnik, S., & Kane, G. (2015). What’s in IT for employees? understanding the relationship between use and performance in enterprise social software. The Journal of Strategic Information Systems 24(2), 90–112.

    Google Scholar 

  57. Leonardi, P. (2015). Ambient awareness and knowledge acquisition: Using social media to learn “who knows what” and “who knows whom.” MIS Quarterly, 39(4), 747–762.

    Google Scholar 

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Zelenkov, Y. (2022). Explaining the IT Value Through the Information Support of Decision-Making. In: Zaramenskikh, E., Fedorova, A. (eds) Digitalization of Society, Economics and Management. Lecture Notes in Information Systems and Organisation, vol 53. Springer, Cham. https://doi.org/10.1007/978-3-030-94252-6_3

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