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Using Interpretive Structural Modelling (ISM) to Impose Hierarchy on Critical Issues of Contractual Bargaining: A Study of Construction Industry of Pakistan

Author

Listed:
  • Muhammad Zeeshan Shaukat

    (Hailey College of Commerce, University of the Punjab, Lahore, Pakistan)

  • Madiha Saleem

    (Institute of Business & Management, University of Engineering and Technology, Lahore, Pakistan)

  • Muhammad Usman Ajmal Mirza

    (Institute of Business & Management, University of Engineering and Technology, Lahore, Pakistan)

  • Abdul Basit

    (Lahore Institute of Science & Technology, Lahore, Pakistan)

  • Abdul Aziz Khan Niazi

    (Department of Management Sciences, New Campus, University of Engineering and Technology, Lahore, Pakistan)

Abstract

Purpose of conducting this research is to identify the critical factors of contractual bargaining in the context of construction industry of Pakistan. The design of current study comprises of the review of literature, data collection and analysis. Data collection involves systematic review of the literature, discussion with experts who are well versed with the domain of the study. ISM is applied to recognize, arrange and develop interrelationships among the critical factors of contractual bargaining. In order to validate the findings of ISM, MICMAC is used which verified the ISM findings. MICMAC groups variables in one of four categories; independent, dependent, linkage or autonomous. According to hierarchy imposed through ISM, factors 1, 4, 7, 8, 9 and 13 occupy first level. Factors 10, 11, 12, 17, 19 and 20 occupy second level. Factors 5, 14, 15 and 18 occupy third level. Factors 2 and 6 occupy fourth level. Factor 3 (political risk) and 16 (lack of management control) occupy fifth and sixth level respectively. MICMAC analysis revealed that factors of 2, 3, 6 and 18 are independent variables. Factors 5, 10, 11, 12, 14, 15, 16, 17, 19 and 20 are linkage variables. Factors 1, 4, 7, 8, 9 and 13 are dependent variables and no factor found to be autonomous. Factor 16 (lack of management control) is the most critical factor. The study deals with critical factors of contractual bargaining that are necessary to consider at the time of contract design & negotiation. It intends to create fruitful insights for a wide variety of audience including contractors, project owners, project managers, volunteers, donors, society and economy at large. It distinguishes itself, as there is no such work available in literature that addresses the need of identifying elements necessary to be considered during contracts’ initial design, bargaining, execution, completion and enforcement. Further, it extends to build a structural model of identified factors and develops relationship in order to provide readers understanding about the cause-&-effect relationships among the factors. The results have implications for all the aforementioned stakeholders in construction projects and construction industry.

Suggested Citation

  • Muhammad Zeeshan Shaukat & Madiha Saleem & Muhammad Usman Ajmal Mirza & Abdul Basit & Abdul Aziz Khan Niazi, 2023. "Using Interpretive Structural Modelling (ISM) to Impose Hierarchy on Critical Issues of Contractual Bargaining: A Study of Construction Industry of Pakistan," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(3), pages 69-84.
    • Handle: RePEc:rfh:jprjor:v:9:y:2023:i:3:p:69-84
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    References listed on IDEAS

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    1. Kitamura, Hiroshi & Matsushima, Noriaki & Sato, Misato, 2017. "Exclusive contracts and bargaining power," Economics Letters, Elsevier, vol. 151(C), pages 1-3.
    2. Karabag, Solmaz Filiz, 2019. "Factors impacting firm failure and technological development: A study of three emerging-economy firms," Journal of Business Research, Elsevier, vol. 98(C), pages 462-474.
    3. Ajith Tom James & Girish Kumar & Megha Bhalla & Megha Amar & Prasham Jain, 2020. "Analysis of challenges for automobile service garages in India: a structural modeling approach," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 18(3), pages 392-413, October.
    4. Calvin Keung & Liyin Shen, 2017. "Network strategy for contractors’ business competitiveness," Construction Management and Economics, Taylor & Francis Journals, vol. 35(8-9), pages 482-497, September.
    5. C. Vasanthakumar & S. Vinodh & K. Ramesh, 2016. "Application of interpretive structural modelling for analysis of factors influencing lean remanufacturing practices," International Journal of Production Research, Taylor & Francis Journals, vol. 54(24), pages 7439-7452, December.
    6. Qing, Qiankai & Deng, Tianhu & Wang, Hongwei, 2017. "Capacity allocation under downstream competition and bargaining," European Journal of Operational Research, Elsevier, vol. 261(1), pages 97-107.
    7. Yeniyurt, Sengun & Carnovale, Steven, 2017. "Global supply network embeddedness and power: An analysis of international joint venture formations," International Business Review, Elsevier, vol. 26(2), pages 203-213.
    8. Ajith Tom James & Girish Kumar & Megha Bhalla & Megha Amar & Prasham Jain, 2020. "Analysis of challenges for automobile service garages in India: a structural modeling approach," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 18(3), pages 392-413, October.
    9. Yi Cai & Chunping Xia, 2018. "Interpretive Structural Analysis of Interrelationships among the Elements of Characteristic Agriculture Development in Chinese Rural Poverty Alleviation," Sustainability, MDPI, vol. 10(3), pages 1-19, March.
    10. Wong, Alfred & Wei, Lu & Yang, Jie & Tjosvold, Dean, 2017. "Productivity and participation values for cooperative goals to limit free riding and promote performance in international joint ventures," Journal of World Business, Elsevier, vol. 52(6), pages 819-830.
    11. Wei Tong Chen & Hew Cameron Merrett & Shih Tong Lu & Leonard Mortis, 2019. "Analysis of Key Failure Factors in Construction Partnering—A Case Study of Taiwan," Sustainability, MDPI, vol. 11(14), pages 1-19, July.
    12. Chuang Wang & Evangelos Giouvris, 2020. "Firm Survival between Manufacturing and Non-Manufacturing Industries: Cultural Distance, Country Risk, Entry Mode, Market Size, Firm Age and Location," Chinese Economy, Taylor & Francis Journals, vol. 53(5), pages 412-431, September.
    13. Um, Ki-Hyun & Kim, Sang-Man, 2019. "The effects of supply chain collaboration on performance and transaction cost advantage: The moderation and nonlinear effects of governance mechanisms," International Journal of Production Economics, Elsevier, vol. 217(C), pages 97-111.
    14. Monika Dhochak & Anil Kumar Sharma, 2016. "Using interpretive structural modeling in venture capitalists’ decision-making process," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(1), pages 53-65, March.
    15. Zeinalnezhad, Masoomeh & Chofreh, Abdoulmohammad Gholamzadeh & Goni, Feybi Ariani & Hashemi, Leila Sadat & Klemeš, Jiří Jaromír, 2021. "A hybrid risk analysis model for wind farms using Coloured Petri Nets and interpretive structural modelling," Energy, Elsevier, vol. 229(C).
    16. Latusek, Dominika & Vlaar, Paul W.L., 2018. "Uncertainty in interorganizational collaboration and the dynamics of trust: A qualitative study," European Management Journal, Elsevier, vol. 36(1), pages 12-27.
    17. Sanjay Dhir & Sushil, 2017. "Flexibility in Modification and Termination of Cross-Border Joint Ventures," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(2), pages 139-151, June.
    18. Syed Mithun Ali & Asraf Arafin & Md. Abdul Moktadir & Towfique Rahman & Nuzhat Zahan, 2018. "Barriers to Reverse Logistics in the Computer Supply Chain Using Interpretive Structural Model," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 53-68, March.
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