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Modeling strategic performance factors for effective strategy execution

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  • Amit Kumar Srivastava
  • Sushil

Abstract

Purpose - The purpose of this study is to develop a model of strategic performance factors for effective strategy execution. Design/methodology/approach - This study uses multiple methods combining both the qualitative and quantitative research routes to unearth a more complete picture of the phenomenon facilitating accurate, generalizable, and practically useful theory. Findings - There is a lack of literature on strategic performance factors and their role in effective strategy execution, which turns out be a barrier to the success of strategy execution. This study not only reviews the SPFs in the context of effective performance management leading to effective strategy execution but also identifies linkages among the SPFs to demonstrate the relative criticality of SPFs and how one SPF leads to another SPF. Interestingly, the situation and actor factors, which were explained in a very limited way in traditional models, have emerged as the most influential strategic performance factors. Research limitations/implications - Although this study attempts to synergize multiple research methods to increase the significance of the findings, a comparatively large sample size would be more useful to test the reliability of the results. Additionally, the SPFs are contextual in nature and, therefore, this study requires extended efforts to test the research propositions in different research settings and reveals the generalized as well as differentiated results. The possible bias in ISM exercise can be improved by having multiple discussions with the respondents. This study extends the theoretical debate on balancing the strategic and operational performance measures for successful strategy execution. The study also fills the gap in the literature by proposing the model of strategic performance factors. Adding methodological value extending triangulation along with the interpretative tool, this study also suggests methodological implication of the research design. Practical implications - The proposed model of SPF could be useful in measuring the right thing in the right way to ensure effective strategy execution. Management of SPFs such as situation and actor is a further value addition to the debate on balancing lead and lag measures or financial and non‐financial measures. The study demonstrates that organizations should go beyond operation measures (both financial and non‐financial) and also focus on strategic factors such as situation and actors, which actually lead to the other SPFs. Originality/value - This study took unique steps to integrate the multiple perspectives of performance measures and develop a model which can facilitate effective strategy execution. It not only fills the gaps in the literature but also provides a strategic perspective of the performance measurement and management systems. The methodological experimentation to not only bring rigor in model building but also use interpretive tools is an innovative attempt to clarify the “what”, “how” as well as “why” aspects of model building.

Suggested Citation

  • Amit Kumar Srivastava & Sushil, 2013. "Modeling strategic performance factors for effective strategy execution," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 62(6), pages 554-582, July.
  • Handle: RePEc:eme:ijppmp:v:62:y:2013:i:6:p:554-582
    DOI: 10.1108/IJPPM-11-2012-0121
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    Citations

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    Cited by:

    1. Agneta Sundström & Zahra Ahmadi, 2019. "The Mediating Role of CSR on the Market Orientation and Strategic Performance Relationship—A Study of the Public Housing Companies in Sweden," Sustainability, MDPI, vol. 11(6), pages 1-18, March.
    2. Sanjay Dhir & Swati Dhir, 2020. "Modeling of strategic thinking enablers: a modified total interpretive structural modeling (TISM) and MICMAC approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(1), pages 175-188, February.
    3. Sushil, 2018. "How to check correctness of total interpretive structural models?," Annals of Operations Research, Springer, vol. 270(1), pages 473-487, November.
    4. Debesh Mishra & Suchismita Satapathy, 2019. "An assessment and analysis of musculoskeletal disorders (MSDs) of Odisha farmers in India," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(4), pages 644-660, August.
    5. Jitendra Narayan Biswal & Kamalakanta Muduli & Suchismita Satapathy & Devendra K. Yadav, 2019. "A TISM based study of SSCM enablers: an Indian coal- fired thermal power plant perspective," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(1), pages 126-141, February.
    6. Shankar, Ravi & Pathak, Devendra Kumar & Choudhary, Devendra, 2019. "Decarbonizing freight transportation: An integrated EFA-TISM approach to model enablers of dedicated freight corridors," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 85-100.
    7. Shekhar & Debadyuti Das, 2023. "Enablers of ‘Creating Shared Value’: A Total Interpretive Structural Modeling–Polarity Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(2), pages 291-318, June.
    8. H. Mahesh Prabhu & Amit Kumar Srivastava, 2023. "CEO Transformational Leadership, Supply Chain Agility and Firm Performance: A TISM Modeling among SMEs," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 51-65, March.
    9. Anshul Yadav & Mahim Sagar, 2021. "Modified Total Interpretive Structural Modeling of Marketing Flexibility Factors for Indian Telecommunications Service Providers," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(4), pages 307-330, December.
    10. Lungu Miruna Florina, 2020. "Factors determining company performance in the IT industry," Management & Marketing, Sciendo, vol. 15(1), pages 59-77, March.
    11. Devendra K. Yadav & Akhilesh Barve, 2016. "Modeling Post-disaster Challenges of Humanitarian Supply Chains: A TISM Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(3), pages 321-340, September.
    12. Silvia Vernizzi & Andrea Beretta Zanoni & Claudio Zuccolotto, 2021. "Strategy Execution: One Size Does Not Fit All: Evidence from Italian Middle Market," International Journal of Business and Management, Canadian Center of Science and Education, vol. 14(11), pages 1-66, July.
    13. Sushil, 2017. "Modified ISM/TISM Process with Simultaneous Transitivity Checks for Reducing Direct Pair Comparisons," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(4), pages 331-351, December.

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