Abstract
PurposeAgri-food firms face many challenges when assessing and managing their performance. The purpose of this research is to determine important factors for an integrated agri-food supply chain performance measurement system.Design/methodology/approachThis research uses the Peruvian kiwicha supply chain as a meaningful context to examine critical factors affecting agri-food supply chain performance. The research uses interpretative structural modelling (ISM) with fuzzy MICMAC methods to suggest a hierarchical performance measurement model.FindingsThe resulting kiwicha supply chain performance management model provides insights for managers and academic theory regarding managing competing priorities within the agri-food supply chain.Originality/valueThe model developed in this research has been validated by cooperative kiwicha associations based in Puno, Peru, and further refined by experts. Moreover, the results obtained through ISM and fuzzy MICMAC methods could help decision-makers from any agri-food supply chain focus on achieving high operational performance by integrating key performance measurement factors.
Highlights
Industries today seek an effective performance measurement system (PMS) to maximize the bottom line (Govindan et al, 2017; Guersola et al, 2018)
Both metrics are adjusted to internalise food production’s social and environmental externalities and consider the sustainability effects of the stages along the agri-food supply chains The purpose of this paper is to examine the key risk components and their respective thresholds affecting agri-food supply chain operations in Ghana This study provides how agri-food supply chain managers can employ a new analytical framework in conjunction with the SCOR model to understand the complicated performance measurement indicators applied across their relevant agri-food production systems and supply chains
This study aims to investigate how overall food supply chain performance (FSCP) often depends on the performance of partners in a sustainable and energyefficient supply chain The purpose of this document is to examine the concept of perishable food supply chain quality (PFSCQ) and suggest a structural model that accounts for the influence of PFSCQ practices on the sustainable performance of the organization The purpose of this study is to determine the level of sustainability between GMO and non-GMO foods
Summary
Industries today seek an effective performance measurement system (PMS) to maximize the bottom line (Govindan et al, 2017; Guersola et al, 2018). It provides valuable insight from practitioners and industry experts who validate factors that serve as input in the ISM fuzzy MICMAC method and contribute to assuring an integrated approach of metrics for the agri-food system It contributes to the Latin American agri-food industry literature, since previous performance measurement studies focus on large and mid-size corporations or companies with developed technological capabilities that are not available or widely adopted by agri-food supply chain supply chain stakeholders in emerging countries (Bititci et al, 2000; Gunasekaran et al, 2004; Gunasekaran and Kobu, 2007; Mishra et al, 2018). Characteristics (1) Highly fragmented sector (2) Older entrepreneurs (3) Entrepreneurs with little business training (4) Low bargaining power with suppliers and customers (5) Poor knowledge of the industrial market (1) Fragmented industry (small and medium enterprises), but with large national or international food groups (2) Subject to the power of mass distribution (3) Tendency toward concentration (4) Strong competition between firms (1) Concentrated sector (2) High bargaining power with suppliers (3) Intense competition in prices and shorter lead time (4) Implementation of new information technologies (5) Mass distribution does distribute agrifood products (6) The gradual disappearance of many traditional small businesses
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