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PurposeThis paper aims to investigate the issue of information technology (IT) adoption and implementation in Indian manufacturing small‐ and medium‐scale enterprise (SMEs) towards enhancing the capabilities of their supply chain.Design/methodology/approachExtracts of recently completed case‐based research for ten SME units are utilized for the identification of IT‐enablers. To support the logical deduction of the factors, diagnostic techniques like force‐field analysis, situation‐actor‐process and learning‐action‐performance are used. Further, key managerial insights were obtained by developing an interpretive structural modeling (ISM) model for the set of factors, specific to Indian context.FindingsISM delivers interrelationships among the factors which were utilized for deriving managerial insights. Further, these factors are classified into four categories, namely, autonomous, driver, dependent, and linkage to understand their relative impact on the implementation of IT in Indian SMEs.Practical implicationsThe advancement in IT presents opportunities for SMEs to harness the benefits of information and communication technologies in an affordable, simple way and to reach new customers and suppliers in global competition and at large to improve their supply chain competencies without a need for any major changes in business practices, manufacturing operations or production facilities. The findings of the present research will help Indian SME managers to enable IT implementation with a strategic orientation.Originality/valueKey issues related to IT implementation in SMEs are discussed and interconnectedness of critical factors for the case of Indian SMEs is understood.

Purpose The purpose of this paper is to investigate the impact of organizational size on adoption of green supply chain management (GSCM) practices for the Indian industry. It also evaluates the impact of GSCM practices on organizational performance. Design/methodology/approach This study aims to empirically test the GSCM model to investigate the present orientation of the Indian industry toward GSCM practices using a pre-tested structured questionnaire. The statistical inferences were drawn using the data provided by 161 Indian firms. This has compared the GSCM practice implementations among small-sized, medium-sized and large-sized organizations. Findings The study reveals that Indian organizations have shown a satisfactory implementation of majority of the environmental practices, except supplier ISO:14001 certification and Tier-II supplier evaluation. Out of 21 practices, medium-sized organizations have adopted GSCM practices at a similar level compared with large organizations, with three exceptions: existing environmental management systems, support from mid-level and top management and supplier evaluation for environmental practice. It was found that GSCM adoption can lead to equal improvements in operational performance for both large-size and medium-size organizations. Originality/value This paper makes two major contributions in the domain of green supply chain practices in India. First, it investigates the adoption of GSCM practices in organizations of different sizes (small, medium and large) and the impact of GSCM practices on the performance of organizations of different sizes. Second, it identifies the key areas for improvement and recommends a set of measures for improving the implementation of GSCM practices in Indian organizations.

The purpose of this research study is to analyze sustainable supply chain (SSC) management practices for Indian automobile industry and to identify the critical factors for its successful implementation. Despite the fact that SSC has been frequently promoted as a means of improving business competitiveness, little empirical evidence exists in the literature validating its positive link with organizational performance. Sustainable supply chain practices (SSCP) not only help in reducing environmental degradation but it also has social and economic implications (as per tipple bottom line approach). For this purpose, empirical data is collected to measure the SSCP prevailing in Indian automobile industry. A structural equation modeling technique is used to build the measurement and structural models. Later, statistical estimates are used to validate the model that has been built. The data analysis helps to determine whether to accept or reject the hypothesis that has been stated based on the structural model. The result shows how SSCP are correlated and help in improving the supply chain performance among the industries being surveyed. It is also observed that environmental and social performance have a positive relationship with economic performance.

PurposeThe paper reports a comprehensive review of supply chain performance measurement systems and raises a set of research issues leading to selected research questions.Design/methodology/approachThe articles which have been published in selected peer‐reviewed international journals in the last ten years were collected by using databases Scopus and ISI Web of Knowledge. The articles were scrutinized based on authors' perspective analysis (using supply chain measures and metrics, and enhancing supply chain performance as the key perspectives). The articles contributing significantly in the domain of supply chain measures and metrics were selected for final review and various issues were identified.FindingsThe paper argues that, despite considerable evidence from the literature in supply chain performance measurement in recent years, there is a large scope for research to address the issues in supply chain performance measurement, including: characteristics of measures and metrics, benchmarking of measures, use of management practices, integration and partnership and socio‐environmental relevance.Research implications/limitationsThe insights deduced in the paper are primarily based on 28 articles selected for critical review and analysis in the domain of supply chain measures and metrics and hence should be interpreted only as key concerns in the area.Originality/valueThe paper reports an evaluation of 28 key articles reported in the domain of supply chain performance measurement and indicates the research opportunities in the area.

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PurposeThe purpose of this paper is to propose an integrated supply chain performance measurement framework for the case of small and medium scale enterprises (SMEs) using set of qualitative and quantitative insights gained during the case study research.Design/methodology/approachThis paper develops the supply chain performance measurement framework using the facts revealed through case study analysis, secondary data specific to various SME clusters in India and detailed contemporary studies reported on supply chain management in SMEs. It integrates the salient features of balanced scorecard (BSC) and supply chain operation reference (SCOR) model to deliver a comprehensive performance measurement framework for SMEs.FindingsThis paper reports set of performance indicators for the supply chain processes like “source,” “make,” and “deliver” in SMEs. It also relates the measures with various supply chain cycles like “procurement,” “manufacturing,” “replenishment,” and “customer order.” As a result, paper delivers an integrated performance measurement framework for supply chain evaluation and planning in SMEs. It also outlines the detailed guideline for the implementation and use of the framework.Practical implicationsThis paper is expected that the developed framework: will help SME managers to improve the visibility of their supply chain amongst interacting partners; and will help SME firms to explain the basis of their decisions to the other supply chain partners and specifically, origingal equipment manufacturer organizations where less bargaining power exist.Originality/valueThis paper integrates the spirit of two well‐known contributions in the field of performance measurement namely BSC and SCOR. The proposed framework is deduced using the findings of real life case study research and hence establishes an adequate platform for its application. It would help the managers or decision makers in SMEs to gain a systematic insight into their supply chain problems and hence undertake the necessary improvements.