Title |
Frugal innovation for supply chain sustainability in SMEs: multi-method research design |
ID_Doc |
76496 |
Authors |
Shibin, KT; Dubey, R; Gunasekaran, A; Luo, ZW; Papadopoulos, T; Roubaud, D |
Title |
Frugal innovation for supply chain sustainability in SMEs: multi-method research design |
Year |
2018 |
Published |
Production Planning & Control, 29, 11 |
DOI |
10.1080/09537287.2018.1493139 |
Abstract |
In this study, we attempt to establish the missing links between supply chain sustainability and frugal innovation. Our study motivations stem from two facets of the emerging markets: first, the institutional barriers and, second, the resource constraints. We argue that there is a synergy in the concepts of frugal innovation and sustainability in supply chains and there is a need to further explore this synergy. Furthermore, we claim that even in the wake of many success stories in the frugal innovative supply chain management practices from emerging markets such as India, there are very few, if any, attempts made to understand the implications of a sustainability oriented frugal innovations in the particular context. To address this gap, we develop a model to establish the linkage between sustainable supply chains and frugal innovations. Our proposed conceptual framework depicts the hierarchy and interlinks of the identified enablers in developing sustainability oriented frugal innovative capabilities in supply chains. Furthermore, we have empirically validated our theoretical framework using survey data. We observed that most of the interpretive links are supported. These findings extend the understanding of frugal innovation for supply chain sustainability using multi-method research design, while also providing theoretically guidance to managers in the development of frugal innovation capability to achieve sustainability in supply chain in resource constrained environment. |
Author Keywords |
Frugal innovation; sustainability; sustainable supply chain; TISM; MICMAC analysis; confirmatory factor analysis (CFA); structural equation modelling (SEM) |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
EID |
WOS:000447514600003 |
WoS Category |
Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science |
Research Area |
Engineering; Operations Research & Management Science |
PDF |
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