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An application of interpretative structural modeling of the compliance to food standards

Author

Listed:
  • Silpa Sagheer
  • Surendra S. Yadav
  • S.G. Deshmukh

Abstract

Purpose - The aim of this paper is to identify and analyze critical factors/elements influencing standards compliance and their level of influence in a developing country food industry, with specific reference to India. Design/methodology/approach - A total of 13 critical elements were identified and structured using pair‐wise comparisons. Structural and reachability matrices were formed and iterated to yield levels of hierarchical influence of each element. MICMAC analysis was also performed to determine dependency and driving power of these elements. Findings - The analysis brought out a compelling need for “sensitive and responsive” action by developing country governments while competing globally. Food industries in developing countries tend to detour while complying with standards, owing to costs involved in setting up systems and procedures. While a strong surveillance mechanism is the high point of a good compliant system this has to be preceded by supporting measures such as linking of domestic and international markets, consolidation of institutional structures, strengthening of legal/regulatory systems, etc. Practical implications - Use of interpretative structural modeling (ISM) is inspired by the versatility displayed by this method, as reported by researchers, across a wide spectrum of economic and competitive complexities affecting businesses. Originality/value - The study is a hitherto unexplored attempt, using interpretative structural modeling, to analyze standards compliance in a developing country's food industry.

Suggested Citation

  • Silpa Sagheer & Surendra S. Yadav & S.G. Deshmukh, 2009. "An application of interpretative structural modeling of the compliance to food standards," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 58(2), pages 136-159, January.
    • Handle: RePEc:eme:ijppmp:v:58:y:2009:i:2:p:136-159
    DOI: 10.1108/17410400910928734
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    Citations

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    Cited by:

    1. Mukesh Kumar & Rakesh D. Raut & Mahak Sharma & Vikas Kumar Choubey & Sanjoy Kumar Paul, 2022. "Enablers for resilience and pandemic preparedness in food supply chain," Operations Management Research, Springer, vol. 15(3), pages 1198-1223, December.
    2. M., Balaji & K., Arshinder, 2016. "Modeling the causes of food wastage in Indian perishable food supply chain," Resources, Conservation & Recycling, Elsevier, vol. 114(C), pages 153-167.
    3. Sujan Piya & Ahm Shamsuzzoha & Mohammad Khadem & Nasr Al-Hinai, 2020. "Identification of Critical Factors and Their Interrelationships to Design Agile Supply Chain: Special Focus to Oil and Gas Industries," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(3), pages 263-281, September.
    4. Lin, Ling-Zhong & Yeh, Huery-Ren, 2013. "Analysis of tour values to develop enablers using an interpretive hierarchy-based model in Taiwan," Tourism Management, Elsevier, vol. 34(C), pages 133-144.
    5. Sohrab Abdollahzadeh, 2021. "Sustainable Development of Foodservices under Uncertainty," Sustainability, MDPI, vol. 13(9), pages 1-14, May.
    6. Chen, Xiaoyan & Locatelli, Giorgio & Zhang, Xinyue & Gong, Yunhao & He, Qinghua, 2022. "Firm and project innovation outcome measures in infrastructure megaprojects: An interpretive structural modelling approach," Technovation, Elsevier, vol. 109(C).

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