686
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Why are research and practice on operational excellence still far apart? Ecological knowledge management view

, ORCID Icon, , , , , ORCID Icon, , & show all
Pages 606-630 | Received 13 Apr 2022, Accepted 01 Mar 2024, Published online: 26 Mar 2024

References

  • Alavi, M., & Leidner, D. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. Management Information Systems Quarterly, 25(1), 107–136. https://doi.org/10.2307/3250961
  • Alemsan, N., Tortorella, G., Rodriguez, C., Jamkhaneh, H.B., & Lima, R. (2022). Lean and resilience in the healthcare supply chain–a scoping review. International Journal of Lean Six Sigma, 13(5), 1058–1078. https://doi.org/10.1108/IJLSS-07-2021-0129
  • Anand, J., McDermott, G., Mudambi, R., & Narula, R. (2021). Innovation in and from emerging economies: New insights and lessons for international business research. Journal of International Business Studies, 52(4), 545–559. https://doi.org/10.1057/s41267-021-00426-1
  • Asif, M., Fisscher, O., Bruijn, E., & Pagell, M. (2010). Integration of management systems: A methodology for operational excellence and strategic flexibility. Operations Management Research, 3(3-4), 146–160. https://doi.org/10.1007/s12063-010-0037-z
  • Bag, S., Wood, L., Xu, L., Dhamija, P., & Kayikci, Y. (2020). Big data analytics as an operational excellence approach to enhance sustainable supply chain performance. Resources, Conservation and Recycling, 153, 104559. https://doi.org/10.1016/j.resconrec.2019.104559
  • Barratt, M., Choi, T., & Li, M. (2011). Qualitative case studies in operations management: Trends, research outcomes, and future research implications. Journal of Operations Management, 29(4), 329–342. https://doi.org/10.1016/j.jom.2010.06.002
  • Basu, R. (2004). Six-sigma to operational excellence: Role of tools and techniques. International Journal of Six Sigma and Competitive Advantage, 1(1), 44–64. https://doi.org/10.1504/IJSSCA.2004.005277
  • Bigelow, M. (2002). How to achieve operational excellence. Quality Progress, 35(10), 70.
  • Bittencourt, V., Alves, A., & Leão, C. (2021). Industry 4.0 triggered by lean thinking: Insights from a systematic literature review. International Journal of Production Research, 59(5), 1496–1510. https://doi.org/10.1080/00207543.2020.1832274
  • Boddy, C. (2016). Sample size for qualitative research. Qualitative Market Research, 19(4), 426–432. https://doi.org/10.1108/QMR-06-2016-0053
  • Bossert, J.L. (2021). Quality function deployment: A practitioner's approach. CRC Press.
  • Botchie, D., Damoah, I.S., & Tingbani, I. (2021). From preparedness to coordination: Operational excellence in post-disaster supply chain management in Africa. Production Planning & Control, 32(1), 1–18. https://doi.org/10.1080/09537287.2019.1680862
  • Braun, V., & Clarke, V. (2016). (Mis) conceptualising themes, thematic analysis, and other problems with Fugard and Potts’(2015) sample-size tool for thematic analysis. International Journal of Social Research Methodology, 19(6), 739–743. https://doi.org/10.1080/13645579.2016.1195588
  • Bray, D. (2007). SSRN-knowledge ecosystems: A theoretical lens for organizations confronting hyper turbulent environments. Papers. ssrn. com.
  • Burton, H., & Pennotti, M. (2003). The enterprise map: A system for implementing strategy and achieving operational excellence. Engineering Management Journal, 15(3), 15–20. https://doi.org/10.1080/10429247.2003.11415211
  • Carter, N., Bryant-Lukosius, D., DiCenso, A., Blythe, J., & Neville, A. (2014). The use of triangulation in qualitative research. Oncology Nursing Forum, 41(5), 545–547. https://doi.org/10.1188/14.ONF.545-547
  • Carvalho, A., Sampaio, P., Rebentisch, E., Carvalho, J., & Saraiva, P. (2019). Operational excellence, organisational culture and agility: The missing link? Total Quality Management & Business Excellence, 30(13-14), 1495–1514. https://doi.org/10.1080/14783363.2017.1374833
  • Chandra, C., & Kumar, S. (2000). Supply chain management in theory and practice: A passing fad or a fundamental change? Industrial Management & Data Systems, 100(3), 100–114. https://doi.org/10.1108/02635570010286168
  • Chang, V., & Tan, A. (2013). An ecosystem approach to knowledge management. In 7th international conference on knowledge management in organizations: Service and cloud computing (pp. 25–35). Springer.
  • Chen, D., Liang, T., & Lin, B. (2010). An ecological model for organizational knowledge management. Journal of Computer Information Systems, 50(3), 11–22. https://doi.org/10.1080/08874417.2015.11645767
  • Cheng, L., & Leong, S. (2017). Knowledge management ecological approach: A cross-discipline case study. Journal of Knowledge Management, 21(4), 839–856. https://doi.org/10.1108/JKM-11-2016-0492
  • Chiarini, A., & Kumar, M. (2020). Lean six sigma and industry 4.0 integration for operational excellence: Evidence from Italian manufacturing companies. Production Planning & Control, 1–18.
  • Corbin, J., & Strauss, A. (2008). Basics of qualitative research. Sage.
  • Dahlgaard, J., & Dahlgaard-Park, S. (1999). Integrating business excellence and innovation management: Developing a culture for innovation, creativity and learning. Total Quality Management, 10(4-5), 465–472. https://doi.org/10.1080/0954412997415
  • Deloitte. (2021). 2022 Manufacturing industry outlook. Accessed November 22, 2021, from https://www2.deloitte.com/us/en/pages/energy-and-resources/articles/manufacturing-industry-outlook.html
  • Dev, N., Shankar, R., & Qaiser, F. (2020). Industry 4.0 and circular economy: Operational excellence for sustainable reverse supply chain performance. Resources, Conservation and Recycling, 153, 104583. https://doi.org/10.1016/j.resconrec.2019.104583
  • Dieppe, A. (2021). Global productivity: Trends, drivers, and policies. World Bank. https://doi.org/10.1596/978-1-4648-1608-6.
  • Dubé, L., & Paré, G. (2003). Rigor in information systems positivist case research: Current practices, trends and recommendations. MIS Quarterly, 27(4), 597–635. https://doi.org/10.2307/30036550
  • Durst, S., & Zieba, M. (2019). Mapping knowledge risks: Towards a better understanding of knowledge management. Knowledge Management Research & Practice, 17(1), 1–13. https://doi.org/10.1080/14778238.2018.1538603
  • Edgeman, R. (2018). Excellence models as complex management systems: An examination of the Shingo operational excellence model. Business Process Management Journal, 24(6), 1321–1338. https://doi.org/10.1108/BPMJ-02-2018-0049
  • Erro-Garcés, A. (2019). Industry 4.0: Defining the research agenda. Benchmarking: An International Journal, 28(5), 1858–1882. https://doi.org/10.1108/BIJ-12-2018-0444
  • Farooq, R. (2018). Developing a conceptual framework of knowledge management. International Journal of Innovation Science, 11(1), 139–160. https://doi.org/10.1108/IJIS-07-2018-0068
  • Fettermann, A. (2021). 5 Industrial manufacturing trends impacting your operations. Godfrey, Industry and Research. Accessed November 22, 2021, from https://www.godfrey.com/insights/industry-and-research/5-manufacturing-trends-impacting-your-operations
  • Fettermann, D., Cavalcante, C., Almeida, T., & Tortorella, G. (2018). How does industry 4.0 contribute to operations management? Journal of Industrial and Production Engineering, 35(4), 255–268. https://doi.org/10.1080/21681015.2018.1462863
  • Fok-Yew, O., & Ahmad, H. (2014). Management of change and operational excellence in the electrical and electronics industry. International Review of Management and Business Research, 3, 723–739.
  • Foray, D., & Lundvall, B. (1998). The knowledge-based economy: From the economics of knowledge to the learning economy. In The economic impact of knowledge (pp. 115–121).
  • Found, P., Lahy, A., Williams, S., Hu, Q., & Mason, R. (2018). Towards a theory of operational excellence. Total Quality Management & Business Excellence, 29(9-10), 1012–1024. https://doi.org/10.1080/14783363.2018.1486544
  • Found, P., Samuel, D., & Lyons, J. (2017). From lean production to operational excellence. In M. Starr, & S. Gupta (Eds.), The Routledge companion to production and operations management (pp. 234–253). Routledge.
  • Fry, R. (2018). Millennials are the largest generation in the U.S. Labor force. Pew Research Center. Accessed November 26, 2021, from https://www.pewresearch.org/fact-tank/2018/04/11/millennials-largest-generation-us-labor-force/
  • Fugard, A., & Potts, H. (2015). Supporting thinking on sample sizes for thematic analyses: A quantitative tool. International Journal of Social Research Methodology, 18(6), 669–684. https://doi.org/10.1080/13645579.2015.1005453
  • Gerbin, A., & Drnovsek, M. (2020). Knowledge-sharing restrictions in the life sciences: Personal and context-specific factors in academia–industry knowledge transfer. Journal of Knowledge Management, 24(7), 1533–1557. https://doi.org/10.1108/JKM-11-2019-0651
  • Gólcher-Barguil, L., Nadeem, S., & Garza-Reyes, J. (2019). Measuring operational excellence: An operational excellence profitability (OEP) approach. Production Planning & Control, 30(8), 682–698. https://doi.org/10.1080/09537287.2019.1580784
  • Grant, R., Shani, R., & Krishnan, R. (1994). TQM's challenge to management theory and practice. MIT Sloan Management Review, 35, 25.
  • Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18(1), 59–82. https://doi.org/10.1177/1525822X05279903
  • Guest, G., Namey, E., Taylor, J., Eley, N., & McKenna, K. (2017). Comparing focus groups and individual interviews: Findings from a randomized study. International Journal of Social Research Methodology, 20(6), 693–708. https://doi.org/10.1080/13645579.2017.1281601
  • Henríquez-Machado, R., Muñoz-Villamizar, A., & Santos, J. (2021). Sustainability through operational excellence: An emerging country perspective. Sustainability, 13(6), 3165. https://doi.org/10.3390/su13063165
  • Hsieh, H., & Shannon, S. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277–1288. https://doi.org/10.1177/1049732305276687
  • Humphrey, A. (2005). SWOT analysis. Long Range Planning, 30, 46–52.
  • Järvi, K., Almpanopoulou, A., & Ritala, P. (2018). Organization of knowledge ecosystems: Prefigurative and partial forms. Research Policy, 47(8), 1523–1537. https://doi.org/10.1016/j.respol.2018.05.007
  • Ketokivi, M., & Choi, T. (2014). Renaissance of case research as a scientific method. Journal of Operations Management, 32(5), 232–240. https://doi.org/10.1016/j.jom.2014.03.004
  • Lasi, H., Fettke, P., Kemper, H., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239–242. https://doi.org/10.1007/s12599-014-0334-4
  • Latham, J. (2008). Building bridges between researchers and practitioners: A collaborative approach to research in performance excellence. Quality Management Journal, 15(1), 8–26. https://doi.org/10.1080/10686967.2008.11918053
  • Lista, A.P., & Tortorella, G. (2022). Integration of industry 4.0 technologies and knowledge management systems for operational performance improvement. IFAC-PapersOnLine, 55(10), 2042–2047. https://doi.org/10.1016/j.ifacol.2022.10.008
  • Malhotra, Y. (1999). Knowledge management for organizational white waters: An ecological framework. Knowledge Management, 2, 18–21.
  • Malhotra, Y. (2002). Information ecology and knowledge management: Toward knowledge ecology for hyperturbulent organizational environments. In Encyclopedia of life support systems (EOLSS). UNESCO.
  • Mangla, S., Kusi-Sarpong, S., Luthra, S., Bai, C., Jakhar, S., & Khan, S. (2020). Operational excellence for improving sustainable supply chain performance. Resources, Conservation, and Recycling, 162, 105025. https://doi.org/10.1016/j.resconrec.2020.105025
  • Mangla, S., & Luthra, S. (2022). When challenges need an evaluation: For operational excellence and sustainability orientation in humanitarian supply and logistics management. Production Planning & Control, 33(6-7), 539–557. https://doi.org/10.1080/09537287.2020.1834129
  • Marxt, C., & Hacklin, F. (2005). Design, product development, innovation: All the same in the end? A short discussion on terminology. Journal of Engineering Design, 16(4), 413–421. https://doi.org/10.1080/09544820500131169
  • McCarthy, P., & Wienk, P. (2019). Who are the top PhD employers?. Advancing Australia’s knowledge economy. Accessed November 26, 2021, from https://amsi.org.au/wp-content/uploads/2019/04/advancing_australias_knowledge_economy.pdf
  • McDermott, O., Antony, J., & Douglas, J. (2021). Exploring the use of operational excellence methodologies in the era of COVID-19: Perspectives from leading academics and practitioners. The TQM Journal, 33(8), 1647–1665. https://doi.org/10.1108/TQM-01-2021-0016
  • Mercer. (2019). Keys for successful industry-education engagement. Accessed November 26, 2021, https://www.mercer.com.au/content/dam/mercer/attachments/asia-pacific/australia/our-thinking/au-2019-universities-pov-brochure-july-2019.pdf
  • Miles, M., & Huberman, M. (1994). Qualitative data analysis: An expanded sourcebook. Sage.
  • Moktadir, M., Dwivedi, A., Rahman, A., Jabbour, C., Paul, S., Sultana, R., & Madaan, J. (2020). An investigation of key performance indicators for operational excellence towards sustainability in the leather products industry. Business Strategy and the Environment, 29(8), 3331–3351. https://doi.org/10.1002/bse.2575
  • Montgomery, D., & Woodall, W. (2008). An overview of six sigma. International Statistical Review/Revue Internationale de Statistique, 329–346.
  • Narasimhan, R. (2014). Theory development in operations management: Extending the frontiers of a mature discipline via qualitative research. Decision Sciences, 45(2), 209–227. https://doi.org/10.1111/deci.12072
  • Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization Science, 5(1), 14–37. https://doi.org/10.1287/orsc.5.1.14
  • Oakland, J. (2014). Total quality management and operational excellence: Text with cases. Routledge.
  • Ori, M. (2013). The rise of industrial PhDs. University World News. Accessed November 26, 2021, from https://www.universityworldnews.com/post.php?story=20131210130327534
  • Prockl, G. (2005). Supply chain diagnostics to confront theory and practice—Re-questioning the core of supply chain management. In Research methodologies in supply chain management (pp. 397–412). Physica-Verlag HD.
  • PwC. (2020). Industrial manufacturing trends 2020: Succeeding in uncertainty through agility and innovation. Accessed November 22, 2021, from https://www.pwc.com/gx/en/ceo-survey/2020/trends/industrial-manufacturing-trends-2020.pdf
  • Rogers, S. (2016). Top 10 Industries that Hire Research and Development Employees. Interesting Engineering. Accessed November 26, 2021, from https://interestingengineering.com/top-10-research-development
  • Rosenberg, M. (2001). E-Learning: Strategies for delivering knowledge in the digital Age. McGraw-Hill.
  • Roth, N., Deuse, J., & Biedermann, H. (2020). A framework for system excellence assessment of production systems, based on lean thinking, business excellence, and factory physics. International Journal of Production Research, 58(4), 1074–1091. https://doi.org/10.1080/00207543.2019.1612113
  • Sartal, A., & Vázquez, X. (2017). Implementing information technologies and operational excellence: Planning, emergence and randomness in the survival of adaptive manufacturing systems. Journal of Manufacturing Systems, 45, 1–16. https://doi.org/10.1016/j.jmsy.2017.07.007
  • Sawhney, R., Treviño-Martinez, S., de Anda, E., Tortorella, G., & Pourkhalili, O. (2020). A conceptual people-centric framework for sustainable operational excellence. Open Journal of Business and Management, 8(3), 1034–1058. https://doi.org/10.4236/ojbm.2020.83066
  • Shetty, S. (2020). Determining sample size for qualitative research: What is the magical number. InterQ. Accessed January 26, 2021, from https://interq-research.com/determining-sample-size-for-qualitative-research-what-is-the-magical-number/
  • Shingo Institute. (2014). Shingo Institute – Shingo Model. Utah, USA. Retrieved from Shingo Institute – Utah University. https://shingo.org/model
  • Shrivastava, P. (1983). A typology of organizational learning systems. Journal of Management Studies, 20(1), 7–29. https://doi.org/10.1111/j.1467-6486.1983.tb00195.x
  • Shrivastava, P. (1998). Knowledge ecology: Knowledge ecosystems for business education and training. Unpublished, last edited Jan. Accessed November 11, 2021, from https://web.archive.org/web/20170825081451/http://www.facstaff.bucknell.edu/shrivast/KnowledgeEcology.html
  • Slack, N., Lewis, M., & Bates, H. (2004). The two worlds of operations management research and practice: Can they meet, should they meet? International Journal of Operations & Production Management, 24(4), 372–387. https://doi.org/10.1108/01443570410524640
  • Soboh, R., Lansink, A., Giesen, G., & Van Dijk, G. (2009). Performance measurement of the agricultural marketing cooperatives: The gap between theory and practice. Review of Agricultural Economics, 31(3), 446–469. https://doi.org/10.1111/j.1467-9353.2009.01448.x
  • Soltani, E. (2005). Conflict between theory and practice: TQM and performance appraisal. International Journal of Quality & Reliability Management, 22(8), 796–818. https://doi.org/10.1108/02656710510617238
  • Sony, M. (2019). Implementing sustainable operational excellence in organizations: An integrative viewpoint. Production & Manufacturing Research, 7(1), 67–87. https://doi.org/10.1080/21693277.2019.1581674
  • Soto, F. (2017). A better definition of operational excellence. Wilson Perumal & Company. Accessed October 2, 2020, from https://www.wilsonperumal.com/blog/a-better-definition-of-operational-excellence
  • Sriyakul, T., Singsa, A., Sutduean, J., & Jermsittiparsert, K. (2019). Effect of cultural traits, leadership styles and commitment to change on supply chain operational excellence. Journal of Computational and Theoretical Nanoscience, 16(7), 2967–2974. https://doi.org/10.1166/jctn.2019.8203
  • The World Bank. (2019). Research and development expenditure (% of GDP) – China and WEF report published 2019. NOTE data points in the WEF 2019 report were from the GERD % of GDP dataset from the UNESCO Institute of Statistics.
  • The World Bank. (2021). Manufacturing, value added (% of GDP). Accessed November 22, 2021, from https://data.worldbank.org/indicator/NV.IND.MANF.ZS
  • Tortorella, G., Cauchick-Miguel, P., Frazzon, E., Portioli-Staudacher, A., & Kumar, M. (2022b). Teaching and learning of industry 4.0: Expectations, drivers, and barriers from a knowledge management perspective. Knowledge Management Research & Practice, 1–16.
  • Tortorella, G., Cauchick-Miguel, P., Li, W., Staines, J., & McFarlane, D. (2021a). What does operational excellence mean in the fourth industrial revolution era? International Journal of Production Research, forthcoming.
  • Tortorella, G., Fogliatto, F., Vergara, A., Vassolo, R., & Sawhney, R. (2020b). Healthcare 4.0: Trends, challenges and research directions. Production Planning & Control, 31(15), 1245–1260. https://doi.org/10.1080/09537287.2019.1702226
  • Tortorella, G., Miorando, R., Meiriño, M., & Sawhney, R. (2019). Managing practitioners’ experience and generational differences for adopting lean production principles. The TQM Journal, 31(5), 758–771. https://doi.org/10.1108/TQM-02-2019-0041
  • Tortorella, G., Narayanamurthy, G., & Staines, J. (2021b). COVID-19 implications on the relationship between organizational learning and performance. Knowledge Management Research & Practice, 19(4), 551–564. https://doi.org/10.1080/14778238.2021.1909430
  • Tortorella, G., Pradhan, N., Anda, E., Martinez, S., Sawhney, R., & Kumar, M. (2020a). Designing lean value streams in the fourth industrial revolution era: Proposition of technology-integrated guidelines. International Journal of Production Research, 58(16), 5020–5033. https://doi.org/10.1080/00207543.2020.1743893
  • Tortorella, G., Prashar, A., Vassolo, R., Cawley Vergara, A.M., Godinho Filho, M., & Samson, D. (2022a). Boosting the impact of knowledge management on innovation performance through industry 4.0 adoption. Knowledge Management Research & Practice, 1–17.
  • Treacy, M., & Wiersema, F. (1995). The discipline of market leaders: Choose your customers, narrow your focus, dominate your market. Perseus Books.
  • Vasileiou, K., Barnett, J., Thorpe, S., & Young, T. (2018). Characterising and justifying sample size sufficiency in interview-based studies: Systematic analysis of qualitative health research over a 15-year period. BMC Medical Research Methodology, 18(1), 1–18. https://doi.org/10.1186/s12874-018-0594-7
  • Voss, C., Tsikriktsis, N., & Frohlich, M. (2002). Case research in operations management. International Journal of Operations & Production Management, 22(2), 195–219. https://doi.org/10.1108/01443570210414329
  • Womack, J., Jones, D., & Roos, D. (2007). The machine that changed the world: The story of lean production–Toyota's secret weapon in the global car wars that is now revolutionizing world industry. Simon and Schuster.
  • Yang, J., Chae, S., Kwak, W., Kim, S., & Kim, I. (2009). Agent-based approach for revitalization strategy of knowledge ecosystem. Journal of the Physical Society of Japan, 78(3), 034803–034803. https://doi.org/10.1143/JPSJ.78.034803
  • Zanon, L.G., Ulhoa, T.F., & Esposto, K.F. (2021). Performance measurement and lean maturity: Congruence for improvement. Production Planning & Control, 32(9), 760–774. https://doi.org/10.1080/09537287.2020.1762136