This study emphasizes circular supply chain management (CSCM) implementation model development for Micro, Small, and Medium enterprises (MSMEs) in the context of India by using the Extended Theory of Planned Behavior (ETPB) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) method of decision making. This study identifies seven factors to develop ETPB with the help of experts and literature surveys. The DEMATEL method is used to analyze the prominence of factors, interrelationships, and causal relationships between the identified ETPB factors based on experts' opinions. The results indicate that there are three cause factors and the rest four are effect factors. ‘Social Pressure’, ‘Circular Incentives’, and ‘Pro-environmental Behavior and Responsibility’ are the significant causes. The Inbound Supply Chain is the prominent factor affected by all the six factors of ETPB. The research findings will be beneficial for academicians, policymakers, and practitioners as they provide insights into CSCM model development and help in recognizing significant measures to implement it.

This study investigates whether perception of product quality positively mediates the relationship between interactivity and purchase intention and whether the relationship between interactivity and perception of product quality is moderated by cost such that higher-priced items strengthen the relationship. Differences between those consumers purchasing personally or as a business were considered. Three hundred and forty-nine participants experienced a simulated environment within a real-world retail website they had previously shopped at. Results from a questionnaire were analysed using moderated mediation regression analysis. The hypothesized theoretical model was supported for individual consumers with results indicating that the effect of interactivity on purchase intention is mediated by product quality, and this indirect effect is moderated by cost. No such result was found for business consumers. This research demonstrates a notable difference between purchasing behaviours of business and individual consumers when considering interactivity and perception of product quality.

The Project Management Office (PMO) has different roles, but if it is concluded that the existence of this PMO will be needed by the project. Factors contributing to project performance include support from the PMO. PMO at PT. XYZ will begin to be implemented starting in 2019. From 2019 to 2022 work on 3 project assignments from the local government. In practice, there were problems where 2 of the three projects experienced delays in completion and 1 other project experienced payment delays, where the risks to the project have not been optimally managed. This study aims to identify the role of the project management office (PMO) owned by PT. XYZ, identify risks in PMO management and identify the role of PMO that has the most influence on risk-based project performance at PT. XYZ. The research method used in this study is a survey method for several respondents where the previous questionnaire was validated by experts and a pilot survey was carried out and the results of the questionnaire will be analyzed using the SEM method. This is to be able to provide results if risk control in PMO management is carried out effectively or on target so that it can improve project performance at PT. XYZ.

The paper aims to analyze the Technical Efficiency of 70 Commercial banks from 19 African countries from 2009-2020. Using the Data Envelopment Analysis (DEA) method of the two main approaches, Variable Return to Scale (VRS) and Constant Return to Scale (CRS) technique on a Panel Data. We find that African banks have a higher efficacy assessment with the VRS than the CRS technique, thus, with a Pure Technical Efficiency (PTE) score than Technical Efficiency (TE) . Our findings show that the majority of the banks are operating at very low levels of efficiency (not technically efficient), and inability to optimize the conversion of bank assets and liabilities into loan production for customers. Furthermore, the banks are operating inefficiently in scale, economic, and allocative manner due to mismatches in scale of production. Considering these findings, the implications of these inefficiencies extend to the overall economic development and financial stability of the region.

Carriers providing truckload freight delivery services can find value in having visibility into future demand for their services to deliver shipments (a.k.a. loads). In the extant literature, the predicted value of this visibility is improved profitability for carriers. We extend this literature by showing that profit is not the only criterion for assessing this visibility (termed future load visibility (FLV) herein). Through extensive computational experiments, we model the effects of FLV on carrier profits as well as on three other criteria that matter to other stakeholders in freight transport ecosystems: (i) ecological consequences of freight transport; (ii) customer service for freight consignors/consignees; (iii) prices that consignors pay for freight delivery. In addition to providing a multi-criteria analysis of FLV, another major novelty of our work is in showing that the level of inter-carrier competition factors into how FLV affects the various criteria. A particularly significant insight from our investigation of situations involving such competition is the seemingly paradoxical finding that carriers’ FLV possession can sometimes impede better outcomes on non-profit criteria. This and other findings yield the paper’s central conclusion that while the decision to acquire FLV is more evidently justified on the profit criterion, it is not an unequivocally optimal decision when non-profit criteria are considered.