Indian Institute of Management Kashipur

About: Indian Institute of Management Kashipur is a education organization based out in Kashipur, India. It is known for research contribution in the topics: Supply chain & Volatility (finance). The organization has 102 authors who have published 203 publications receiving 1357 citations. The organization is also known as: IIM Kashipur.

Performance implications of industry appropriability for manufacturing SMEs : The role of technology orientation

Abstract: Purpose – Industry appropriability – the degree to which firms in an industry can appropriate benefits from their innovations – is a crucial dimension of industry environment. Small and medium manufacturing enterprises (manufacturing SMEs), because of their limited resource base, tend to be especially sensitive to the appropriability conditions in their industry. The purpose of this paper is to understand the influence of industry appropriability on firm outcomes (innovativeness and performance), and posits technology orientation as a dynamic capability that helps firms overcome appropriability barriers in their industry. Design/methodology/approach – Data were collected from 162 manufacturing SMEs in India. Multiple linear regression analysis was used to test the proposed hypotheses. Findings – This study reveals that the perceived level of appropriability of manufacturing SMEs impacts their innovativeness. Further, findings also support technology orientation as a crucial firm-specific characteristic wh...

Adopting IS process innovations in organizations: the role of IS leaders’ individual factors and technology perceptions in decision making

Abstract: While there is a rich body of literature on information system (IS) innovations, there is a limited understanding of the role IS leaders’ individual factors and their appraisals of technological factors play in organizations’ adoption of IS innovations. We address these gaps in the IS literature by focusing on an IS process innovation – namely, computer-aided software engineering (CASE) – which is targeted at the core activities of systems development/maintenance in IS departments. We specifically examine how organizations’ CASE adoption decision is impacted by (1) two individual factors of IS leaders (i.e., leaders’ hierarchical position and job tenure) and (2) their perceptions of technological factors (i.e., relative advantage and technological complexity of CASE). Data were gathered from IS leaders at 350 organizations in the United States using a national cross-sectional survey. The findings suggest that IS leaders’ hierarchical position and their job tenure significantly differentiate CASE adopters from non-adopters. IS leaders at lower levels of the organizational hierarchy and with shorter job tenure made the adoption decisions in adopter organizations, while IS leaders at higher levels of the organizational hierarchy and with longer job tenure made the adoption decisions in non-adopter organizations. The findings also reveal that relative advantage has two dimensions – namely, perceived efficacy advantage and perceived efficiency advantage – and IS leaders’ evaluation of the perceived efficacy advantage of CASE differentiates adopters from non-adopters. The study has important implications for our theoretical and practical understanding of the factors related to IS leaders that are influential in the organizational adoption of IS innovations.

Supply Chain Risk Assessment: a fuzzy AHP approach

Abstract: Managing supply chain risk is a big challenge for any organization. The purpose of the paper is to provide a methodology for assessing supply chain risk using the Fuzzy based Analytic Hierarchy Process (Fuzzy AHP). This study presents a comprehensive study to identify the Risk Factors (RFs) in supply chain and evaluate them. In this paper, sixteen risk factors were identified based on extensive literature survey. To limit the scope of the work, focus was on transaction and infrastructural risk and avoiding the demand risk. The RFs are formulated as hierarchy structure and Fuzzy AHP as a Multi Attribute Decision Making (MADM) tool applied to judge the viable candidates. A revised risk matrix with a continuous scale was proposed to assess the RFs classes. The result classifies the RFs in different categories (Extreme, High, Medium and Low). Based on this result, some management implications and suggestions are proposed. The revised risk matrix with continuous scale for risk assessment in supply chain is a novel