2008),"A decision#maker#centred supplier selection approach for critical supplies", Management Decision, Vol. 46 Iss 6 pp. 918-932 http://dx.If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information.
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AbstractPurpose -Supplier selection studies have used a wide variety of supplier evaluation criteria, due to the diversity of the purchasing context. The purpose of this study is to identify the critical supplier selection criteria which are important across industries and across purchasing contexts, and subsequently estimate the importance of these criteria to the procurement practitioners. Design/methodology/approach -First, a Delphi study has been conducted to identify the critical supplier selection criteria across manufacturing industries. Then, data were collected from 188 firms across 12 industries and analysed with fuzzy analytic hierarchy process for group decision making, to estimate the relative importance of these criteria. Findings -Findings indicate that seven criteria are of critical importance to Indian manufacturing industries. Also evaluation criteria like product quality, delivery compliance and price have maximum criticality, while criterion like e-transaction capability is gaining in importance, with the increased adoption of e-procurement platforms.Research limitations/implications -The study has been conducted in India, while focusing on Indian manufacturing industries. Similar study conducted in developed economies may produce different results. Practical implications -Findings will be useful for practitioners for benchmarking supplier selection processes, not only in India, but also in similar emerging economies. Also, the outcome will provide insights for suppliers for developing systemic improvements. Originality/value -There has been no study in recent years which has attempted to estimate the importance of supplier selection criteria, while taking a multi-industry approach. This study identifies the critical evaluation criteria and estimates their relative importance to procurement experts.
Purpose
Artificial intelligence (AI) is deemed to have a significant impact as a value driver for the firms and help them get an operational and competitive advantage. However, there exists a lack of understanding of how to appropriate value from this nascent technology. This paper aims to discuss the approaches toward knowledge and innovation strategies to fill this gap.
Design/methodology/approach
The discussion presents a review of the extant strategy and information systems literature to develop a strategy for organizational learning and value appropriation strategy for AI. A roadmap is drawn from ambidexterity and organizational learning theories.
Findings
This study builds the link between learning and ambidexterity to propose paths for exploration and exploitation of AI. The study presents an ambidextrous approach toward innovation concerning AI and highlights the importance of developing as well as reusing the resources.
Research limitations/implications
This study integrates over three decades of strategy and information systems literature to answer questions about value creation from AI. The study extends the ambidexterity literature with contemporary.
Practical implications
This study could help practitioners in making sense of AI and making use of AI. The roadmap could be used as a guide for the strategy development process.
Originality/value
This study analyzes a time-tested theoretical framework and integrates it with futuristic technology in a way that could reduce the gap between intent and action. It aims to simplify the organizational learning and competency development for an uncertain, confusing and new technology.
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