Niraj Kumar

Bio: Niraj Kumar is an academic researcher from University of Liverpool. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 18, co-authored 38 publications receiving 2526 citations. Previous affiliations of Niraj Kumar include University of Essex & University of Bath.

Global supplier development considering risk factors using fuzzy extended AHP-based approach

Abstract: Global supplier development is a multi-criterion decision problem which includes both qualitative and quantitative factors. The global supplier selection problem is more complex than domestic one and it needs more critical analysis. The aim of this paper is to identify and discuss some of the important and critical decision criteria including risk factors for the development of an efficient system for global supplier selection. Fuzzy extended analytic hierarchy process (FEAHP) based methodology will be discussed to tackle the different decision criteria like cost, quality, service performance and supplier's profile including the risk factors involved in the selection of global supplier in the current business scenario. FEAHP is an efficient tool to handle the fuzziness of the data involved in deciding the preferences of different decision variables. The linguistic level of comparisons produced by the customers and experts for each comparison are tapped in the form triangular fuzzy numbers to construct fuzzy pair-wise comparison matrices. The implementation of the system is demonstrated by a problem having four stages of hierarchy which contains different criteria and attributes at wider perspective. The proposed model can provide not only a framework for the organization to select the global supplier but also has the capability to deploy the organization's strategy to its supplier.

Global supplier selection: a fuzzy-AHP approach

Abstract: Global supplier selection has a critical effect on the competitiveness of the entire supply chain network. Research results indicate that the supplier selection process appears to be the most significant variable in deciding the success of the supply chain. It helps in achieving high quality products at lower cost with higher customer satisfaction. Apart from the common criteria such as cost and quality, this paper also discusses some of the important decision variables which can play a critical role in case of the international sourcing. The importance of the political-economic situation, geographical location, infrastructure, financial background, performance history, risk factors, etc., have also been pointed out in particularly in the case of global supplier selection. Supplier selection problem related to the global sourcing is more complex than the general domestic sourcing and as a result it needs more critical analysis, which could not be found properly in past available literatures. This paper di...

Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice

Abstract: In the era of Big Data, many organisations have successfully leveraged Big Data Analytics (BDA) capabilities to improve their performance However, past literature on BDA have put limited focus on understanding the capabilities required to extract value from big data In this context, this paper aims to provide a systematic literature review of BDA capabilities in supply chain and develop the capabilities maturity model The paper presents the bibliometric and thematic analysis of research papers from 2008 to 2016 This paper contributes in theorizing BDA capabilities in context of supply chain, and provides future direction of research in this field

Exploring the challenges in implementing supplier environmental performance measurement models: a case study

Abstract: This study aims to explore the challenges associated with implementing supplier environmental performance measurement models in context of a global supply chain. After a thorough literature review on the topic, a case study-based research methodology is adopted to investigate the real-life perspective of the issues encountered while evaluating the supplier performance in a sustainable supply chain. An in-depth study of one of the biggest fast-moving consumer goods companies in UK is discussed and analysed in this paper. Findings of this research will pave the way for developing a robust, efficient and usable environmental performance measurement framework in a supply chain.

The Self-Organizing Map

Abstract: An overview of the self-organizing map algorithm, on which the papers in this issue are based, is presented in this article.

The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields (Chinese Translation)

Abstract: What makes organizations so similar? We contend that the engine of rationalization and bureaucratization has moved from the competitive marketplace to the state and the professions. Once a set of organizations emerges as a field, a paradox arises: rational actors make their organizations increasingly similar as they try to change them. We describe three isomorphic processes-coercive, mimetic, and normative—leading to this outcome. We then specify hypotheses about the impact of resource centralization and dependency, goal ambiguity and technical uncertainty, and professionalization and structuration on isomorphic change. Finally, we suggest implications for theories of organizations and social change.

Input Output Analysis Foundations And Extensions

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