This study supplies contributions to the existing literature with a state-of-the-art bibliometric review of sustainable industrial and operation engineering as the field moves towards Industry 4.0, and guidance for future studies and practical achievements. Although industrial and operation engineering is being promoted forward to sustainability, the systematization of the knowledge that forms firms' manufacturing and operations and encompasses their wide concepts and abundant complementary elements is still absent. This study aims to analyze contemporary sustainable industrial and operations engineering in Industry 4.0 context. The bibliometric analysis and fuzzy Delphi method are proposed. Resulting in a total of 30 indicators that are criticized and clustered into eight study groups, including lean manufacturing in Industry 4.0, cyber-physical production system, big data driven and smart communications, safety and security, artificial intelligence for sustainability, the circular economy in a digital environment, business intelligence and virtual reality, and environmental sustainability.

PurposeSustainable supply chain finance (SSCF) is a fascinated consideration for both academics and practitioners because the indicators are still underdeveloped in achieving SSCF. This study proposes a bibliometric data-driven analysis from the literature to illustrate a clear overall concept of SSCF that reveals hidden indicators for further improvement.Design/methodology/approachA hybrid quantitative and qualitative approach combining data-driven analysis, fuzzy Delphi method (FDM), entropy weight method (EWM) and fuzzy decision-making trial and evaluation laboratory (FDEMATEL) is employed to address the uncertainty in the context.FindingsThe results show that blockchain, cash flow shortage, reverse factoring, risk assessment and triple bottom line (TBL) play significant roles in SSCF. A comparison of the challenges and gaps among different geographic regions is provided in both advanced local perspective and a global state-of-the-art assessment. There are 35 countries/territories being categorized into five geographic regions. Of the five regions, two, Latin America and the Caribbean and Africa, show the needs for more improvement, exclusively in collaboration strategies and financial crisis. Exogenous impacts of wars, natural disasters and disease epidemics are implied as inevitable attributes for enhancing the sustainability.Originality/valueThis study contributes to (1) boundary SSCF foundations by data driven, (2) identifying the critical SSCF indicators and providing the knowledge gaps and directions as references for further examination and (3) addressing the gaps and challenges in different geographic regions to provide advanced assessment from local viewpoint and to diagnose the comprehensive global state of the art of SSCF.

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Distinct from the existing literature, which mainly focuses on the impacts of green building practices on the owners’ benefits, this paper examines capital market participants’ perceptions of green building, specifically, the cost of equity capital. The study uses data regarding the United States Real Estate Investment Trusts (US REITs) from 2000 to 2016, employing a panel regression analysis and adopting a Price Earnings Growth (PEG) ratio model for the cost of equity capital estimation. We find a negative relationship between green building certification and the cost of equity capital. Our results encourage REITs to participate in green building certification and aim for higher green building rankings. In addition, we examine whether corporate governance could affect the intensity of green building practices in REITs. It is found that corporate governance practices implemented to align shareholders’ and managers’ interests, such as higher institutional holdings and a less dispersed ownership structure, positively impact firms’ resource allocation for green initiatives. The results suggest there could be mutual benefits for both economic profits and sustainable buildings.

Circular supply chain management (CSCM) is a promising way to achieve economic and environmental sustainability and address the waste problem. However, developing a fully circular supply chain system is costly and time-consuming, especially for small and medium-sized enterprises (SMEs). SMEs need to achieve better CSCM by implementing waste management practices. This study aims to (1) critically validate the hierarchical structure of CSCM for SMEs; (2) identify the causal interrelationships among the attributes; and (3) determine the practical attributes for SME improvement in Indonesia. An approach consisting of the fuzzy Delphi method (FDM), best worse method (BWM), and fuzzy decision-making trial and evaluation laboratory (FDEMATEL) is designed to fulfill the objectives of this study. The results show the hierarchical structure in CSCM implementation that benefit SMEs through performance improvement gains. Waste management practices and circular product design are causal aspects; in particular, waste management practices support SMEs in building CSCM as an alternative. The criteria to provide practical insights for CSCM in Indonesia are eco-design, sustainable product design, green technology, waste treatment capability, and designing for the environment.