Models of Regional Factors—Supply Chain Performance (Benefits)

Avelar-Sosa, Liliana; García-Alcaráz, Jorge Luis; Maldonado-Macías, Aidé Aracely

doi:10.1007/978-3-319-93876-9_13

Cited by 1 publication

(1 citation statement)

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“…The present study aims to identify the best agritourism clusters in a developing country. Therefore, designing, modeling, and evaluating such dynamic destination agritourism sites is essentially important (Avelar-Sosa et al, 2019; Beske et al, 2014; Aramyanet et al, 2006; Scott et al, 2008; Vlajic et al, 2012) to measure the performance of various supply chain partners (Kataike et al, 2019; Khan et al, 2019; Sufiyan et al, 2019). Since independence, agriculture along its allied sectors is the largest livelihood generator in India (FAO, 2019).…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Agro-tourism Clusters using AHP–TOPSIS

Joshi

Sharma

Singh

2020

Journal of Operations and Strategic Planning

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The aim of this article is to recognize the key critical success factors (CSFs) that determine the performance of agritourism clusters using combined analytical hierarchy process (AHP)-the technique for order of preference by similarity to ideal solution (TOPSIS) method. The operational performance of agritourism clusters was determined using integrated approach, and 11 CSFs were initially identified through systematic literature review. Furthermore, experts validated and finalized nine CSFs that can determine the sustainable performance of agritourism network. Totally 15 experts (including practitioners and agritourism supply chain partners), were engaged in data collection process. The AHP application exhibits that destination attractiveness (D5) has the highest priority (0.156) among all the dimensions followed by local community contribution and sustainable livelihoods (D9). Furthermore, TOPSIS demonstrates that Pithoragarh (C7) has the ideal best value (0.7705) indicating that this cluster is performing the best among all the clusters followed by Almora (0.7209). The identification of CSFs to evaluate the performance of clusters in Uttarakhand, India can serve as guiding tool for the agritourism practitioners. The examination of pertinent issues with the focus on major support required, bottlenecks in adoption, key benefits of sustainable agritourism activities and most common sustainable practices are expected to provide new understanding about the sustainable agritourism business-based issues in India. The only limitation of this study is the geographic coverage and limited demography of the respondents. This study is one of the first efforts on assessing agritourism supply chain practices in India, with the special reference to Uttarakhand state.

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