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To attain ecological sustainability and transition to sustainable supply chain management (SSCM), effective technological innovation (TI) and solid waste management (SWM), as likely impending resources, are essential components. From 2000 through 2021, a detailed map of SSCMs in the context of TI and systematic history will be created, highlighting the most significant research themes and trends, primary features, development, and possibly relevant areas for future study. Due to utilizing bibliometric analysis, text mining, and content analytics methodologies, the following concerns were addressed: (1) How has SSCM research progressed over time in the TI domain? (2) Which SSCM research areas and trends receive the most attention in the TI domain? Additionally, (3) what are the research directions for SSCM in the context of TI? As a result, bibliometric networks were developed and examined using 983 journal articles from the Scopus database to highlight the substantial body of literature. As a result, SSCM has been divided into five crucial study themes: (i) transition to TI, (ii) SSCM in closed-loop supply chains, (iii) municipal solid waste management (MSWM), (iv) environmental consequences and life-cycle evaluation, and (v) policymakers and practitioners in SSCM can use the SSCM research landscape and its primary highlight patterns to guide and add in the TI. Considering SSCM research as a way to reduce waste, future study directions are also suggested.

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This article seeks to study how the extensive usage of social networking sites (SNSs) and interaction in consumer-to-consumer (C2C) communities influence brand trust. Social networking sites have impacted internet commerce in a technologically advanced era; it connects global users. Social media ads have changed our thinking; new market trends are reshaping the business industry. This study empirically investigates a model based on media richness theory and social capital theory. Using data collected from users who conducted transactions on these sites, a theoretical model was developed to analyze the inspirations behind trust. The results show that Instagram’s media-rich platform enhances social capital and a sense of virtual community between its members, affecting trust. Instagram usage intensity does not immediately affect brand trust, but it has an indirect effect; community trust also positively influences brand trust. This study defines the role of a sense of virtual community (SOVC) and social capital (SC) in C2C communities only. This study delivers insights to managers on how to increase brand trust via SNSs. Prior studies on social commerce do not apply to C2C communities on social media platforms, especially Instagram. This study presents a novel standpoint of social capital and media richness structures as precursors of brand trust in C2C communities.

The transition to a circular economy (CE) and environmental protection highly depends on waste management (WM) and green technology (GT). The purpose of this study is to examine the past two decades of WM and GT research to identify the most significant advancements and potential future research areas. Bibliometrics content analysis and text mining were utilized to resolve the subsequent issues: Has WM and GT research developed over time in the CE industry? Does WM and GT research have a clearly defined purpose? How do you foresee the future of WM and GT research in the context of CE evolving? Consequently, 1149 journal articles from the Scopus database were used to create and evaluate bibliometric networks. Therefore, five significant CE-related issues requiring additional research were identified: The first category is bio-based WM, followed by CE transition, GT, ecological impacts, municipal solid WM and lifecycle assessment, and finally, bio-based WM. Future research topics and a tool for the CE transition may be impacted by the investigation of inclusive WM systems, GT practices and their defining highlight patterns (which aim to minimalize waste generation). Future research goals include reducing waste and implementing WM into the CE framework.