How do Information Technology Resources Facilitate Relational and Contractual Governance in Green Supply Chain Management?

Supply Chain Governance Mechanisms, Green Supply Chain Management, and Organizational Performance

While firms understand that implementing green supply chain management (GSCM) is important, they seem uncertain about how to manage their green initiatives by looking beyond their own facilities. Building a green supply chain requires the participation of all partner firms across the supply chain. However, partner firms are different in size, situation, capabilities, and even industries. Thus, encouraging them to participate in green initiatives is difficult. Many small and medium enterprises (SMEs) hesitate to comply with green initiatives as they require a substantial amount of investment. This study empirically examines the causal relationship between the partnership governance mechanism and the success of GSCM. Based on transaction-cost economics theory (i.e., opportunism) and relational perspectives (i.e., trust) as the theoretical background, this study found that governance mechanisms between suppliers and manufacturers are positively related to GSCM performance. It showed that formal governance is important in the process-management side, while relational governance is critical for sharing knowledge in GSCM. The implications of the study results provide strategic insights on how the choice of governance mechanism affects GSCM performance and thus a firm’s competitiveness.

Realizing the Environmental Benefits of Proactive Environmental Strategy: The Roles of Green Supply Chain Integration and Relational Capability

Although the impact of proactive environmental strategies on corporate performance has been extensively discussed in academia, the path of the impact of proactive environmental strategies on environmental performance remains unclear. In this study, we introduce a strategy–structure–performance (SSP) framework to explore the mechanism through which proactive environmental strategies improve environmental performance by utilizing green supply chain integration. Based on the questionnaire survey data of 252 Chinese manufacturing firms, a structural equation model was established to verify our hypothesis. The results show that firms that implement a proactive environmental strategy tend to promote the green integration of suppliers through internal green integration and thus improve their environmental performance. By distinguishing two kinds of activities of green supplier integration (greening the supplier and environmental collaboration with the supplier), we found that environmental collaboration with the supplier can directly promote the environmental performance of manufacturing enterprises, but supplier greening indirectly enhances the environmental performance of enterprises through supplier environmental collaboration. The boundary conditions of the influence of internal green integration on green supplier integration are discussed, and we found that the relationship cability plays a moderating role in the influence of internal green integration on supplier green integration.

The Impact of Big Data Analytics on Company Performance in Supply Chain Management

Big data analytics can add value and provide a new perspective by improving predictive analysis and modeling practices. This research is centered on supply-chain management and how big data analytics can help Romanian supply-chain companies assess their experience, strategies, and professional capabilities in successfully implementing big data analytics, as well as assessing the tools needed to achieve these goals, including the results of implementation and performance achievement based on them. The research method used in the quantitative study was a sampling survey, using a questionnaire as a data collection tool. It included closed questions, measured with nominal and ordinal scales. A total of 205 managers provided complete and useful answers for this research. The collected data were analyzed with the Statistical Package for the Social Sciences (SPSS) package using frequency tables, contingency tables, and main component analysis. The major contributions of this research highlight the fact that companies are concerned with identifying new statistical methods, tools, and approaches, such as cloud computing and security technologies, that need to be rigorously explored.