Publication Cover
Production Planning & Control
The Management of Operations
Volume 35, 2024 - Issue 4
774
Views
4
CrossRef citations to date
0
Altmetric
Research Articles

Performance measurement in data intensive organisations: resources and capabilities for decision-making process

, , ORCID Icon, &
Pages 373-393 | Received 13 May 2020, Accepted 25 May 2022, Published online: 15 Jun 2022

References

  • Akhtar, P., J. G. Frynas, K. Mellahi, and S. Ullah. 2019. “Big Data-Savvy Teams’ Skills, Big Data-Driven Actions and Business Performance.” British Journal of Management 30 (2): 252–271. doi:10.1111/1467-8551.12333.
  • Akhtar, P., Z. Khan, J. G. Frynas, Y. K. Tse, and R. Rao-Nicholson. 2018. “Essential Micro-Foundations for Contemporary Business Operations: Top Management Tangible Competencies, Relationship-Based Business Networks and Environmental Sustainability.” British Journal of Management 29 (1): 43–63. doi:10.1111/1467-8551.12233.
  • Akyuz, A. G., and E. T. Erkan. 2010. “Supply Chain Performance Measurement: A Literature Review.” International Journal of Production Research 48 (17): 5137–5155. doi:10.1080/00207540903089536.
  • Al-Surmi, A., M. Bashiri, and I. Koliousis. 2021. “AI Based Decision Making: Combining Strategies to Improve Operational Performance.” International Journal of Production Research 1–23. (in press). doi:10.1080/00207543.2021.1966540.
  • Altmann, E. 2013. “Using Nvivo Qualitative Research.” In Social Research Methods, edited by Maggie Walter. Oxford: Oxford University Press.
  • Amit, Raphael., and Paul J. H. Schoemaker. 1993. “Strategic Assets and Organizational Rent.” Strategic Management Journal 14 (1): 33–46. doi:10.1002/smj.4250140105.
  • Arnaboldi, M., C. Busco, and S. Cuganesan. 2017. “Accounting, Accountability, Social Media and Big Data: Revolution or Hype?” Accounting, Auditing & Accountability Journal 30 (4): 762–776. doi:10.1108/AAAJ-03-2017-2880.
  • Awan, U., S. Shamim, Z. Khan, N. A. Zia, S. M. Shariq, and M. N. Khan. 2021. “Big Data Analytics Capability and Decision-Making: The Role of Data-Driven Insight on Circular Economy Performance.” Technological Forecasting and Social Change 168: 120766. doi:10.1016/j.techfore.2021.120766.
  • Baesens, Bart, Ravi Bapna, James R. Marsden, Jan Vanthienen, and J. Leon Zhao. 2016. “Transformational Issues of Big Data and Analytics in Networked Business.” MIS Quarterly 40 (4): 807–818. doi:10.25300/MISQ/2016/40:4.03.
  • Barney, J. 1991. “Firm Resources and Sustained Competitive Advantage.” Journal of Management 17 (1): 99–120. doi:10.1016/S0742-3322(00)17018-4.
  • Baum, J. R., and S. Wally. 2003. “Strategic Decision Speed and Firm Performance.” Strategic Management Journal 24 (11): 1107–1129. doi:10.1002/smj.343.
  • Benbasat, I., D. K. Goldstein, and M. Mead. 1987. “The Case Research Strategy in Studies of Information Systems.” MIS Quarterly 11 (3): 369–386. doi:10.4135/9781849209687.n5.
  • Bennett, N., and G. J. Lemoine. 2014. “What VUCA Really Means for You.” Harvard Business Review 92 (1/2): 27.
  • Bharadwaj, 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.
  • Bititci, U. S., K. Mendibil, S. Nudurupati, T. Turner, and P. Garengo. 2006. “Dynamics of Performance Measurement and Organizational Culture.” International Journal of Operations & Production Management 26 (12): 1325–1350. doi:10.1108/01443570610710579.
  • Bititci, U., P. Garengo, V. Dorfler, and S. Nudurupat. 2012. “Performance Measurement: Challenges for Tomorrow.” International Journal of Management Reviews 14 (3): 305–327. doi:10.1111/j.1468-2370.2011.00318.x.
  • Black, J. A., and K. B. Boal. 2007. “Strategic Resources: Traits, Configurations and Paths to Sustainable Competitive Advantage.” Strategic Management Journal 15 (S2): 131–148. doi:10.1002/smj.4250151009.
  • Bobbitt, H. R., and J. D. Ford. 1980. “Decision Maker Choice as a Determinant of Organization Structure.” Academy of Management Review 5 (1): 13–24. doi:10.1002/smj.4250151009.
  • Bourne, M., J. Mills, M. Wilcox, A. Neely, and K. Platts. 2000. “Designing, Implementing and Updating Performance Measurement Systems.” International Journal of Operations & Production Management 20 (7): 754–771. doi:10.1108/01443570010330739.
  • Bower, J. L. 1970. Managing the resource allocation process. Cambridge, MA: Harvard University Press.
  • Braz, F. R., L. F. Scavarda, and R. A. Martins. 2011. “Reviewing and Improving Performance Measurement Systems: An Action Research.” International Journal of Production Economics 133 (2): 751–760. doi:10.1016/j.ijpe.2011.06.003.
  • Cavaye, A. L. M. 1996. “Case Study Research: A Multi-Faceted Research Approach for IS.” Information Systems Journal 6 (3): 227–242. doi:10.4135/9781473915480.n64.
  • Chavez, R., W. Yu, M. A. Jacobs, and M. Feng. 2017. “Data-Driven Supply Chains, Manufacturing Capability and Customer Satisfaction.” Production Planning & Control 28 (11–12): 906–918. doi:10.1080/09537287.2017.1336788.
  • Citroen, C. L. 2011. “The Role of Information in Strategic Decision-Making.” International Journal of Information Management 31 (6): 493–501. doi:10.5465/AMBPP.2017.12438abstract.
  • Constantiou, I. D., and J. Kallinikos. 2015. “New Games, New Rules: Big Data and the Changing Context of Strategy.” Journal of Information Technology 30 (1): 44–57. doi:10.1057/jit.2014.17.
  • Creswell, J. W. 2013. Qualitative inquiry and research design: Choosing among five approaches (3rd ed.). Thousand Oaks, CA: Sage.
  • Csaszar, F. A. 2012. “Organizational Structure as a Determinant of Performance: Evidence from Mutual Funds.” Strategic Management Journal 33 (6): 611–632. doi:10.1002/smj.1969.
  • Dahlbom, P., N. Siikanen, P. Sajasalo, and M. Jarvenpää. 2019. “Big Data and HR Analytics in the Digital Era.” Baltic Journal of Management 15 (1): 120–138. doi:10.1108/BJM-11-2018-0393.
  • Davenport, T. H., and D. J. Patil. 2012. “Data Scientist: The Sexiest Job of the 21st Century.” Harvard Business Review 90 (10): 70–76.
  • Davenport, T. H., P. Barth, and R. Bean. 2012. “How ‘Big Data’ Is Different.” Sloan Management Review 54 (1): 22–24.
  • Davison, J. 2015. “Visualising Accounting: An Interdisciplinary Review and Synthesis.” Accounting and Business Research 45 (2): 121–165. doi:10.1080/00014788.2014.987203.
  • Devi, Y., and K. K. Ganguly. 2021. “Social Media in Operations and Supply Chain Management: A Systematic Literature Review to Explore the Future.” Operations and Supply Chain Management: An International Journal 14 (2): 232–248. doi:10.31387/oscm0450299.
  • Dollah, S., A. Abduh, and R. Rosmaladewi. 2017. “Benefits and Drawbacks of NVivo Qsr Application.” Advances in Social Science, Education and Humanities Research 149: 61–62. doi:10.2991/icest-17.2017.21.
  • Duncan, R. 1979. “What is the Right Structure? Decision Tree Analysis Provides the Answer.” Organizational Dynamics 7 (3): 59–80. doi:10.1016/0090-2616(79)90027-5.
  • Eisenhardt, K. M. 1989a. “Building Theories from Case Study Research.” The Academy of Management Review 14 (4): 532–550. doi:10.4135/9781473915480.n52.
  • Eisenhardt, K. M. 1989b. “Making Fast Strategic Decisions in High-Velocity Environments.” Academy of Management Journal 32 (3): 543–576. doi:10.1017/CBO9780511618925.008.
  • Eisenhardt, K. M., and M. J. Zbaracki. 1992. “Strategic Decision Making.” Strategic Management Journal 13 (S2): 17–37. doi:10.1002/smj.4250130904.
  • Elbanna, S., and J. Child. 2007. “Influences on Strategic Decision Effectiveness: Development and Test of an Integrative Model.” Strategic Management Journal 28 (4): 431–453. doi:10.1002/smj.4250130904.
  • El-Kassar, A., and S. K. Singh. 2018. “Green Innovation and Organizational Performance: The Influence of Big Data and the Moderating Role of Management Commitment and HR Practices.” Technology Forecast and Social Change 144: 483–498. doi:10.1016/j.techfore.2017.12.016.
  • Fatorachian, H., and H. Kazemi. 2018. “A Critical Investigation of Industry 4.0 in Manufacturing: theoretical Operationalisation Framework.” Production Planning & Control 29 (8): 633–644. doi:10.1080/09537287.2018.1424960.
  • Ferraris, A., A. Mazzoleni, A. Devalle, and J. Couturier. 2019. “Big Data Analytics Capabilities and Knowledge Management: impact on Firm Performance.” Management Decision 57 (8): 1923–1936. doi:10.1108/MD-07-2018-0825.
  • Franco-Santos, M., L. Lucianetti, and B. Bourne. 2012. “Contemporary Performance Measurement Systems: A Review of Their Consequences and a Framework for Research.” Management Accounting Research 23 (2): 79–119. doi:10.1016/j.mar.2012.04.001.
  • Frishammar, J. 2003. “Information Use in Strategic Decision Making.” Management Decision 41 (4): 318–326. doi:10.1108/00251740310468090.
  • Garengo, P., and F. Betto. 2022. “The role of organisational culture and leadership style in performance measurement and management: a longitudinal case study.” Production Planning and Control (in press) doi:10.1080/09537287.2022.2058431.
  • Garengo, P., S. Nudurupati, and U. Bititci. 2007. “Understanding the Relationship Between PMS and MIS in SMEs: An Organizational Life Cycle Perspective.” Computers in Industry 58 (7): 677–686. doi:10.1016/j.compind.2007.05.006.
  • Ghasemaghaei, M., K. Hassanein, and O. Turel. 2017. “Increasing Firm Agility Through the Use of Data Analytics: The Role of Fit.” Decision Support Systems 101: 95–105. doi:10.1016/j.dss.2017.06.004.
  • Ghasemaghaei, M. S., Ebrahimi, K, and Hassanein, K. 2018. “Data Analytics Competency for Improving Firm Decision Making Performance.” The Journal of Strategic Information Systems 27 (1): 101–113. doi:10.1016/j.jsis.2017.10.001.
  • Gölzer, P., and A. Fritzsche. 2017. “Data-Driven Operations Management: Organisational Implications of the Digital Transformation in Industrial Practice.” Production Planning & Control 28 (16): 1332–1343. doi:10.1080/09537287.2017.1375148.
  • Grafton, J., A. Lillis, and S. Widener. 2010. “The Role of Performance Measurement and Evaluation in Building Organizational Capabilities and Performance.” Accounting Organizations and Society 35 (7): 689–706. doi:10.1016/j.aos.2010.07.004.
  • Grant, R. M. 1996. “Toward a knowledge-based theory of the firm.” Strategic Management Journal 17 (52): 109–122. doi:10.1002/smj.4250171110.
  • Guest, Greg, Arwen Bunce, and Laura Johnson. 2006. “How Many Interviews Are Enough?: An Experiment With Data Saturation and Variability.” Field Methods 18 (1): 59–82. doi:10.1177/1525822X05279903.
  • Guimaraes, T., and K. Paranjape. 2021. “Assessing the Overall Impact of Data Analytics on Company Decision Making and Innovation.” International Journal of Business Analytics 8 (4): 34–51. doi:10.4018/IJBAN.2021100103.
  • 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: 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.
  • Hallikas, J., M. Immonen, and S. Brax. 2021. “Digitalizing Procurement: The Impact of Data Analytics on Supply Chain Performance.” Supply Chain Management: An International Journal 26 (5): 629–646. doi:10.1108/SCM-05-2020-0201.
  • Hayashi, A. M. 2014. “Thriving in a Big Data World.” Sloan Management Review 55 (2): 35–39.
  • Hazen, B. T., C. A. Boone, J. D. Ezell, and L. A. Jones-Farmer. 2014. “Data Quality for Data Science, Predictive Analytics, and Big Data in Supply Chain Management: An Introduction to the Problem and Suggestions for Research and Applications.” International Journal of Production Economics 154: 72–80. doi:10.1016/j.ijpe.2014.04.018.
  • Helfat, C. E., and M. A. Peteraf. 2003. “The Dynamic Resource-Based View: Capability Lifecycles.” Strategic Management Journal 24 (10): 997–1010. doi:10.1002/smj.332.
  • Helfat, C. E., and M. A. Peteraf. 2015. “Managerial Cognitive Capabilities and the Microfoundations of Dynamic Capabilities.” Strategic Management Journal 36 (6): 831–850. doi:10.1002/smj.2247.
  • Hershey, P. C. 2018. “2Data Analytics Implications.” IEEE Potentials 37 (4): 10–11. doi:10.1109/MPOT.2018.2824361.
  • Hilbert, M., and P. López. 2011. “The World’s Technological Capacity to Store, Communicate, and Compute Information.” Science (New York, N.Y.) 332 (6025): 60–65. doi:10.1126/science.1200970.
  • Hogarth, R. M., and E. Soyer. 2015. “Using Simulated Experience to Make Sense of Big Data.” Sloan Management Review 56 (2): 48–54.
  • Huang, S., A. Potter, and D. Eyers. 2020. “Social Media in Operations and Supply Chain Management: State-of-the-Art and Research Directions.” International Journal of Production Research 58 (6): 1893–1925. doi:10.1080/00207543.2019.1702228.
  • Janssen, M., H. Van der Voort, and A. Wahyudi. 2017. “Factors Influencing Big Data Decision-Making Quality.” Journal of Business Research 70: 338–345. doi:10.1016/j.jbusres.2016.08.007.
  • Jardioui, M., P. Garengo, and S. El Alami. 2020. “How organizational culture influences performance measurement systems in SMEs.” Journal of International Journal of Productivity and Performance Management 69 (2): 217–235. doi:10.1108/IJPPM-10-2018-0363.
  • Jelinek, M. 1977. “Technology, Organizations and Contingency Theory.” The Academy of Management Review 2 (1): 17–26. doi:10.2307/257601.
  • Ji-fan Ren, S. S., Fosso Wamba, S., Akter, R., Dubey S. J, and Childe, S. J. 2017. “Modelling Quality Dynamics, Business Value and Firm Performance in a Big Data Analytics Environment.” International Journal of Production Research 55 (17): 5011–5026. doi:10.1080/00207543.2016.1154209.
  • Kache, F., and S. Seuring. 2017. “Challenges and Opportunities of Digital Information at the Intersection of Big Data Analytics and Supply Chain Management.” International Journal of Operations & Production Management 37 (1): 10–36. doi:10.1108/IJOPM-02-2015-0078.
  • Kamble, S. S., A. Gunasekaran, A. Ghadge, and R. Raut. 2020. “A Performance Measurement System for Industry 4.0 Enabled Smart Manufacturing System in SMEs. A Review and Empirical Investigation.” International Journal of Production Economics 229: 107853. doi:10.1016/j.ijpe.2020.107853.
  • Kamble, S. S., and A. Gunasekaran. 2020. “Big Data-Driven Supply Chain Performance Measurement System: A Review and Framework for Implementation.” International Journal of Production Research 58 (1): 65–86. doi:10.1080/00207543.2019.1630770.
  • Kaplan, A. M., and M. Haenlein. 2010. “Users of the World, Unite! The Challenges and Opportunities of Social Media.” Business Horizons 53 (1): 59–68. doi:10.1016/j.bushor.2009.09.003.
  • Kim, S. H., Z. Dong, H. Xian, B. Upatising, and J. S. Yi. 2012. “Does an Eye Tracker Tell the Truth About Visualizations?: Findings While Investigating Visualizations for Decision Making.” IEEE Transactions on Visualization and Computer graphics 18 (12): 2421–2430. doi:10.1109/TVCG.2012.215.
  • Koufteros, X., A. Verghese, and L. Lucianetti. 2014. “The Effect of Performance Measurement Systems on Firm Performance: A Cross-Sectional and a Longitudinal Study.” Journal of Operations Management 32 (6): 313–336. doi:10.1016/j.jom.2014.06.003.
  • LaValle, S., E. Lesser, R. Shockley, M. S. Hopkins, and N. Kruschwitz. 2011. “Big Data, Analytics and the Path from Insights to Value.” Sloan Management Review 52 (2): 21–31.
  • LeRoux, K., and N. S. Wright. 2010. “Does Performance Measurement Improve Strategic Decision Making? Findings from a National Survey of Nonprofit Social Service Agencies.” Nonprofit and Voluntary Sector Quarterly 39 (4): 571–587. doi:10.1177/0899764009359942.
  • Lohse, Gerald L. 1997. “The Role of Working Memory on Graphical Information Processing.” Behaviour & Information Technology 16 (6): 297–308. doi:10.1080/014492997119707.
  • Luoma, J. 2016. “Model-Based Organizational Decision Making: A Behavioral Lens.” European Journal of Operational Research 249 (3): 816–826. doi:10.1016/j.ejor.2015.08.039.
  • Mani, D., A. Barua, and A. Whinston. 2010. “An Empirical Analysis of the Impact of Information Capabilities Design on Business Process Outsourcing Performance.” MIS Quarterly 34: 39–62. doi:10.2307/20721414.
  • March, J. G., and H. A. Simon. 1958. Organizations. Wiley.
  • Marchand, M., and L. Raymond. 2008. “Researching Performance Measurement Systems – an Information Systems Perspective.” International Journal of Operations & Production Management 28 (7): 663–686. doi:10.1108/01443570810881802.
  • Matthias, O., I. Fouweather, I. Gregory, and A. Vernon. 2017. “Making Sense of Big Data – Can It Transform Operations Management?” International Journal of Operations & Production Management 37 (1): 37–55. doi:10.1108/IJOPM-02-2015-0084.
  • Mello, R., and R. A. Martins. 2019. “Can Big Data Analytics Enhance Performance Measurement Systems?” IEEE Engineering Management Review 47 (1): 52–57. doi:10.1109/EMR.2019.2900645.
  • Melnyk, S. A., U. Bititci, K. Platts, J. Tobias, and B. Andersen. 2014. “Is Performance Measurement and Management Fit for the Future.” Management Accounting Research 25 (2): 173–186. doi:10.1016/j.mar.2013.07.007.
  • Merriam, S. B. 1998. Qualitative research and case study applications in education. San Francisco: Jossey-Bass.
  • Mikalef, P., R. van de Wetering, and J. Krogstie. 2021. “Building Dynamic Capabilities by Leveraging Big Data Analytics: The Role of Organizational Inertia.” Information & Management 58 (6): 103412. doi:10.1016/j.im.2020.103412.
  • Miles, M. B, and A. M. Huberman. 1994. Qualitative Data Analysis: An Expanded Sourcebook. Thousand Oaks, CA: Sage Publications.
  • Minciu, M., F. A. Berar, and R. C. Dobrea. 2020. “New Decision Systems in the VUCA World.” Management and Marketing 15 (2): 236–254. doi:10.2478/mmcks-2020-0015.
  • Mishra, D., A. Gunasekaran, T. Papadopoulos, and R. Dubey. 2018. “Supply Chain Performance Measures and Metrics: A Bibliometric Study.” Benchmarking: An International Journal 25 (3): 932–967. doi:10.1108/BIJ-08-2017-0224.
  • Mitchell, J. R., D. A. Shepherd, and M. P. Sharfman. 2011. “Erratic Strategic Decisions: When and Why Managers Are Inconsistent in Strategic Decision Making.” Strategic Management Journal 32 (7): 683–704. doi:10.1002/smj.905.
  • Moreira, M., and B. Tjahjono. 2016. “Applying Performance Measures to Support Decision-Making in Supply Chain Operations: A Case of Beverage Industry.” International Journal of Production Research 54 (8): 2345–2365. doi:10.1080/00207543.2015.1076944.
  • Mu, R., M. Haershan, and P. Wu. 2022. “What Organizational Conditions, in Combination, Drive Technology Enactment in Government-Led Smart City Projects?” Technological Forecasting and Social Change 174: 121220. doi:10.1016/j.techfore.2021.121220.
  • Müller, O., I. Junglas, J. Vom Brocke, and S. Debortoli. 2016. “Utilizing Big Data Analytics for Information Systems Research: Challenges, Promises and Guidelines.” European Journal of Information Systems 25 (4): 289–302. doi:10.1057/ejis.2016.2.
  • Naeem, H. M., and P. Garengo. 2022. “The interplay between industry 4.0 maturity of manufacturing processes and performance measurement and management in SMEs.” International Journal of Productivity and Performance Management 71 (4): 1034–1058. doi:10.1108/IJPPM-09-2021-0552.
  • Neely, Andy, Chris Adams, and Mike Kennerley. 2002. The Performance Prism: The Scorecard for Measuring and Managing Business Success. London: Pearson Education.
  • Netz, J., M. Svensson, and E. Brundin. 2020. “Business Disruptions and Affective Reactions: A Strategy-as-Practice Perspective on Fast Strategic Decision Making.” Long Range Planning 53 (5): 101910. doi:10.1016/j.lrp.2019.101910.
  • Nudurupati, S. S., P. Garengo, and U. S. Bititci. 2021. “Impact of the Changing Business Environment on Performance Measurement and Management Practices.” International Journal of Production Economics 232: 107942. doi:10.1016/j.ijpe.2020.107942.
  • Nudurupati, S. S., S. Tebboune, and J. Hardman. 2016. “Contemporary Performance Measurement and Management (PMM) in Digital Economies.” Production Planning & Control 27 (3): 226–235. doi:10.1080/09537287.2015.1092611.
  • Nutt, P. C. 2008. “Investigating the Success of Decision-Making Processes.” Journal of Management Studies 45 (2): 425–455. doi:10.1111/j.1467-6486.2007.00756.x.
  • Oliver, D., and J. Roos. 2005. “Decision-Making in High-Velocity Environments: The Importance of Guiding Principles.” Organization Studies 26 (6): 889–913. doi:10.1177/0170840605054609.
  • Papadopoulos, T., A. Gunasekaran, R. Dubey, and S. Fosso Wamba. 2017. “Big Data and Analytics in Operations and Supply Chain Management: Managerial Aspects and Practical Challenges.” Production Planning & Control 28 (11–12): 873–876. doi:10.1080/09537287.2017.1336795.
  • Pavlov, A., and M. Bourne. 2011. “Explaining the Effects of Performance Measurement on Performance: An Organizational Routines Perspective.” International Journal of Operations & Production Management 31 (1): 101–122. doi:10.1108/01443571111098762.
  • Penrose, E. T. 1959. The Theory of the Growth of the Firm. New York: Wiley
  • Peteraf, M. A. 1993. “The Cornerstones of Competitive Advantage: A Resource-Based View.” Strategic Management Journal 14 (3): 179–191. doi:10.1002/smj.4250140303.
  • Quattrone, P. 2017. “Embracing Ambiguity in Management Controls and Decision-Making Processes: On How to Design Data Visualisations to Prompt Wise Judgement.” Accounting and Business Research 47 (5): 588–612. doi:10.1080/00014788.2017.1320842.
  • Raffoni, Anna, Franco Visani, Monica Bartolini, and Riccardo Silvi. 2018. “Business Performance Analytics: exploring the Potential for Performance Management Systems.” Production Planning & Control 29 (1): 51–67. doi:10.1080/09537287.2017.1381887.
  • Rasool, F., M. Greco, and M. Grimaldi. 2022. “Digital Supply Chain Performance Metrics: A Literature Review.” Measuring Business Excellence 26 (1): 23–38. doi:10.1108/MBE-11-2020-0147.
  • Sanusim, I. 2019. “Strengths and Weaknesses of Using NVivo Software in Analyzing Qualitative Data.” Skripsi thesis, UIN AR-RANIRY.
  • Sardi, A., E. Sorano, V. Cantino, and P. Garengo. 2020a. “Big Data and Performance Measurement Research: trends, Evolution and Future Opportunities.” Measuring Business Excellence (in Press). doi:10.1108/MBE-06-2019-0053.
  • Sardi, A., E. Sorano, A. Ferraris, and P. Garengo. 2020b. “Evolutionary paths of performance measurement and management system: the longitudinal case study of a leading SME.” Measuring Business Excellence 24 (4): 495–510. doi:10.1108/MBE-01-2020-0016.
  • Sardi, A., E. Sorano, P. Garengo, and A. Ferraris. 2021. “The Role of HRM in the Innovation of Performance Measurement and Management Systems: A Multiple Case Study in SMEs.” Employee Relations: The International Journal 43 (2): 589–606. doi:10.1108/ER-030101.
  • Sardi, A., P. Garengo, and U. Bititci. 2019. “Measurement and Management of Competences by Enterprise Social Networking.” International Journal of Productivity and Performance Management 68 (1): 109–126. doi:10.1108/IJPPM-04-2018-0139.
  • Sargut, D. K. 2019. “Study on the Effects of Digitisation in Small and Medium-Sized German Companies.” Quality Access to Success 20 (S2): 561–566.
  • Sheng, J., J. Amankwah-Amoah, and X. Wang. 2017. “A Multidisciplinary Perspective of Big Data in Management Research.” International Journal of Production Economics 191 (1): 97–112. doi:10.1016/j.ijpe.2017.06.006.
  • Shepherd, D. A., T. A. Williams, and H. Patzelt. 2015. “Thinking about Entrepreneurial Decision Making: Review and Research Agenda.” Journal of Management 41 (1): 11–46. doi:10.1177/0149206314541153.
  • Shet, S. V., T. Poddar, F. Wamba Samuel, and Y. K. Dwivedi. 2021. “Examining the Determinants of Successful Adoption of Data Analytics in Human Resource Management – A Framework for Implications.” Journal of Business Research 131: 311–326. doi:10.1016/j.jbusres.2021.03.054.
  • Sidorova, Y., M. Arnaboldi, and J. Radaelli. 2016. “Social Media and Performance Measurement Systems: Towards a New Model?” International Journal of Productivity and Performance Management 65 (2): 139–161. doi:10.1108/IJPPM-06-2014-0084.
  • Silvola, R., O. Jaaskelainen, H. Kropsu, and H. H. Vehkapera. 2011. “Managing One Master Data–Challenges and Preconditions.” Industrial Management & Data Systems 111 (1): 146–162. doi:10.1108/02635571111099776.
  • Simon, H. A. 1975. Administrative Behavior, (3rd edn) New York, Free Press.
  • Smith, M., and U. S. Bititci. 2017. “Interplay Between Performance Measurement and Management, Employee Engagement and Performance.” International Journal of Operations & Production Management 37 (9): 1207–1228. doi:10.1108/IJOPM-06-2015-0313.
  • Smith, W. K. 2014. “Dynamic Decision Making: A Model of Senior Leaders Managing Strategic Paradoxes.” Academy of Management Journal 57 (6): 1592–1623. doi:10.5465/amj.2011.0932.
  • Sony, M., and S. Naik. 2020. “Critical Factors for the Successful Implementation of Industry 4.0: A Review and Future Research Direction.” Production Planning & Control 31 (10): 799–815. doi:10.1080/09537287.2019.1691278.
  • Talwar, S., P. Kaur, S. Fosso Wamba, and A. Dhir. 2021. “Big Data in Operations and Supply Chain Management: A Systematic Literature Review and Future Research Agenda.” International Journal of Production Research 59 (11): 3509–3534. doi:10.1080/00207543.2020.1868599.
  • Tan, K. H., G. Ji, C. P. Lim, and M. L. Tseng. 2017. “Using Big Data to Make Better Decisions in the Digital Economy.” International Journal of Production Research 55 (17): 4998–5000. doi:10.1080/00207543.2017.1331051.
  • Tang, M., and H. Liao. 2021. “From Conventional Group Decision Making to Large-Scale Group Decision Making: What Are the Challenges and How to Meet Them in Big Data Era? A State-of-the-Art Survey.” Omega 100: 102141–102159. doi:10.1016/j.omega.2019.102141.
  • 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.
  • Themistocleous, M., and G. Corbitt. 2006. “Is Business Process Integration Feasible?” Journal of Enterprise Information Management 19 (4): 434–449. doi:10.1108/17410390610678340.
  • Tsakonas, Giannis., and Christos. Papatheodorou. 2008. “Exploring Usefulness and Usability in the Evaluation of Open Access Digital Libraries.” Information Processing & Management 44 (3): 1234–1250. doi:10.1016/j.ipm.2007.07.008.
  • Tuptuk, N., and S. Hailes. 2018. “Security of Smart Manufacturing Systems.” Journal of Manufacturing Systems 47: 93–106. doi:10.1016/j.jmsy.2018.04.007.
  • Van Knippenberg, D., L. Dahlander, M. R. Haas, and G. George. 2015. “Information, Attention, and Decision Making.” Academy of Management Journal 58 (3): 649–657. doi:10.5465/amj.2015.4003.
  • Van Veen-Dirks, P. 2010. “Different Uses of Performance Measures: The Evaluation Versus Reward of Production Managers.” Accounting, Organizations and Society 35 (2): 141–164. doi:10.1016/j.aos.2009.02.002.
  • Verma, P., V. Kumar, A. Mittal, B. Rathore, A. Jha, and M. S. Rahman. 2021. “The Role of 3S in Big Data Quality: A Perspective on Operational Performance Indicators Using an Integrated Approach.” The TQM Journal (in Press). doi:10.1108/TQM-02-2021-0062.
  • Wamba, S. F., A. Gunasekaran, S. Akter, J. Ren, R. Dubey, and S. J. Childe. 2017. “Big Data Analytics and Firm Performance: Effects of Dynamic Capabilities.” Journal of Business Research 70: 356–365. doi:10.1016/j.jbusres.2016.08.009.
  • Wamba, S. F., S. Akter, A. Edwards, G. Chopin, and D. Gnanzou. 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.
  • Wernerfelt, B. 1984. “A Resource-Based View of the Firm.” Strategic Management Journal 5 (2): 171–180. doi:10.1002/smj.4250050207.
  • Yin, R. 2018. Case Study Research: Design and Methods. 6th ed. Los Angeles, CA: Sage Publications.

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.