The purpose of this study is to identify and analyze the impact of critical success factors (CSFs) impacting technology implementation in Consumer Packaged Goods (CPG) supply chain. The study has used existing literature to identify CSFs and then questionnaire-based survey and Ex-ploratory Factor Analysis (EFA) to group CSFs. The paper has revealed that “Inter-Organizational”, “Organizational”, “CPG Sector Specific”, “Human” and “Program Manage-ment” CSFs impact successful technology implementation in CPG supply chain. The paper fills the gap in existing literature by studying the impact of CSFs on successful technology imple-mentation in CPG supply chain and providing guidance to practitioners working in CPG sector.
Due to environmental issues, social concerns, increased pollution and enforced regulations; organizations are focusing to include green practices in their supply chain. This can be accomplished by adoption of green supply chain management (GSCM) practices. Therefore, GSCM is now a proactive approach for firms to increase their ecological performance, corporate image, achieve competitive advantages and sustainable business practices. This study identifies, evaluate and analyze the critical factors (CFs) for successful implementation of GSCM practices. The proposed study uses hybrid Fuzzy DEMATEL model to prioritize the identified critical success factors (CSFs) for GSCM adoption. Fuzzy approach is integrated with DEMATEL to deal with uncertainty arises in decision making process. To demonstrate the application of the proposed approach a case study from electronic industry is considered. This approach investigates the cause and effect relationships among the CFs for successful adoption of GSCM practices in Indian electronic organizations.
The primary objective of this paper is to develop a comprehensive method to learn the effect of knowledge management (KM) practices on organizational performance. The balanced scorecard (BSC) is applied to materialize this comprehensiveness. In order to prevent research dispersion, the selective indicators in KM are oriented to some critical success factors influencing KM implementation. In addition, the mentioned effect is analyzed by path analysis using structural equation modeling (SEM). The results indicate that KM practices maintain some impacts on the overall performance. Finally, KM practices only influence learning and growth among dimensions of BSC, significantly. Likewise, data analysis states other significant impact among performance dimensions in terms of BSC model.
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Over the years, organizations have witnessed a transformational change at global market place. Integration of operations and partnership have become the key success factors for organizations. In order to achieve inclusive growth while operating in a dynamic uncertain environment, organizations irrespective of the scale of business need to stay connected across the entire value chain. The purpose of this paper is to analyze Enterprise Resource Planning (ERP) implementation process for Small and Medium Enterprises (SMEs) in India to identify the key enablers. Exhaustive survey of existing literature as a part of secondary research work, has been conducted in order to identify the critical success factors and usefulness of ERP implementation in different industrial sectors initially and examines the impact of those factors in Indian SMEs. Kernel Principal Component Analysis (KPCA) has been applied on survey response to recognize the key constructs related to Critical Success Factors (CSFs) and tangible benefits of ERP implementation. Intuitionistic Fuzzy set theory based Technique of Order Preference by Similarity to Ideal Solution (TOPSIS) method is then used to rank the respective CSFs by mapping their contribution to the benefits realized through implementing ERP. Overall this work attempts to present a guideline for ERP adoption process in the said sector utilizing the framework built upon KPCA and Intuitionistic Fuzzy TOPSIS. Findings of this work can act as guidelines for monitoring the entire ERP implementation project.