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.
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