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The principal research objective entails examining the nexus between green supplier selection and green performance while scrutinizing the moderating role of governance mechanisms, specifically process control and outcome control, in shaping this association.

To assess our hypotheses, this study obtained data from Chinese manufacturing sectors and utilized regression analysis on a dataset consisting of 295 samples.

This study enriches the sustainable supply chain management literature by emphasizing the influence of green supplier selection on a firm’s green performance and the moderating effects of outcome and process control, offering practical insights for industry professionals.

This study enriches the sustainable supply chain management literature by emphasizing the influence of supplier selection on a firm’s environmental performance and the moderating effects of outcome and process control, offering practical insights for industry professionals.

To influence consumer pre-purchase decision-making processes, such as brand selection and perceived brand experience, brands are interested in adopting hyperconnected technological stimuli, such as artificial intelligence, augmented reality (AR), virtual reality, social media and tech devices. However, the understanding of different hyperconnected touchpoints remained shallow and results mixed in previous literature, despite the fact that these touchpoints span different technological interfaces/devices and may influence consumer brand selection. This paper aims to solidify the conceptual underpinnings of the role of online hyperconnected stimuli, which may influence consumer psychological reactions in terms of brand selection and experience.

This paper is conceptual and presents a discussion based on extant literature from various international publishers.

The authors revealed different technological stimuli in the online hyperconnected environment that may influence consumer online hyperconnected brand selection (OHBS), perceived online hyperconnected brand experience (OHBE), perceived well-being and behavioral intention.

The conceptual understanding of OHBS and perceived OHBE was mixed and inconsistent in previous studies. This paper brings together extant literature to establish the conceptual understanding of antecedents and outcomes of OHBS, i.e. perceived OHBE, perceived well-being and behavioral intention, and presents a cohesive conceptual framework.

In this paper, a review of materials selection methods is presented. It initially discusses the importance of materials selection in various fields of scientific study particularly in engineering design. Various tools and methods for the selection of materials are reviewed. These include materials handbook, materials data‐bases, materials selection charts, artificial intelligence systems, and other computeraided materials selection systems.

The main work in this paper covers a methodology, tools and implementation techniques for automation of supplier selection procedures as an e‐commerce application. The work could be divided into two main parts. First, the development of a modeling methodology which can be used for automation of supplier selection procedures. By this modeling methodology, supplier selection procedures are divided into pre‐selection, selection and the post‐selection procedures. The selection procedure is further divided into the following stages: bidder selection, partner selection, and performance evaluation. The second part is about realization of automation. Three modules for automation are identified; they are the data collection system for bidder selection stage, the inference engine for partner selection stage, and the performance evaluation engine for the performance evaluation stage.

The purpose of the current study was to examine university students' knowledge, confidence and experience of popular graduate employer selection tests.

A cross-sectional self-report survey was administered to gather a sufficient number of quantitative responses from undergraduate students. A total of 241 students completed the survey with most of them being psychology students from Swansea University. Four key variables were examined: (1) students' experience, (2) confidence and (3) knowledge of selection tests and (4) their desire for more information about selection tests as part of their degree. An audit of selection tests used by the Times Top 100 graduate employers was also conducted.

Students tended to misjudge how often selection tests were used by employers, and generally lacked experience with these tests. Students' confidence in completing each test varied as a function of the selection test; however, prior experience with these tests positively predicted confidence. Additionally, over 70% of students reported a desire for further information about selection tests as part of their degree.

These novel findings suggest that students could benefit from further information about selection tests as part of their degree programme which would be of benefit to both students and universities.

These findings are, to the authors knowledge, the first to explicitly assess second- and third-year undergraduate students' knowledge, experience and confidence with popular graduate employer selection tests and demonstrate that students would like more information about these tests on their programme.

The study assess the selection ability and market timing skills of mutual fund and unit trust managers in Ghana.

The study uses an improved survivorship bias-free dataset of yearly after-fee returns of all mutual funds and unit trusts operating in Ghana from January 2011 to December 2019, cumulating in nine years of quantitative fund data. The authors assess Mutual funds and Unit trusts that ever existed, “alive” or “dead,” over the sample period in the study. The authors construct factor loadings to enable the application of multifactor models in the analysis. The authors apply the unconditional versions of the Jensen alpha, Fama-French three-factor, and Carhart four-factor models to determine the selection ability and market timing skills of 32 mutual funds and 17 unit trusts. The authors deploy HAC-consistent robust standard errors to the OLS estimations to subdue the effect of heterogeneity and autocorrelation.

The results indicate that, on average, mutual funds and unit trust managers possess market timing skills but no selection ability. When the results are decomposed into fund types, fixed-income and balanced mutual fund managers possess selection ability and market timing skills.

To the authors' best knowledge, this study is the earliest to examine the selection ability and market timing skills of both mutual fund and unit trust managers in Sub-Saharan Africa (SSA). It is also the earliest to construct factor loadings for the Ghana stock market.

Competition among seaports is rapidly increasing due to various factors such as the global recession, resurgence of COVID-19, tight environmental regulations of IMO, sharp rise in ocean freight charges, increasing global uncertainties and growth in ship sizes. It is essential to have precise knowledge of shipping companies' port selection factors to secure the competitive advantage of seaports. This study aims to empirically analyze recent changes in the importance of port selection factors.

By employing a longitudinal study, this study conducted the t-test analysis. The first survey was conducted from January 2005 to April 2005. Then, the second survey was conducted in May 2021.

First, the importance of port facilities (berth length and the number of berths, shed and terminal areas, possession of adequate equipment and maximum berth size) increased significantly. Second, while ship and cargo safety were the critical port service factors in previous studies, speed, flexibility and reliability for handling cargo and berthing schedule were found to be crucial in this study. Third, the importance of ship arrival/departure frequency, route diversity and ship arrival/departure information systems increased when shipping companies selected the port.

This study has academic significance in that it reveals the changing importance of port selection factors in the 2020s and has taken the form of a longitudinal study on the importance of port selection factors from 2005 to 2021, moving beyond the cross-sectional approach. This study can provide valuable insights into and implications for port policymakers and managers when developing and formulating port policies and strategies.

There is sufficient literature on green knowledge regarding supplier selections. Notwithstanding, there are hardly any empirical studies that analyze green knowledge toward supplier selection through the lenses of green intellectual capital (GIC). This paper aims to analyze green knowledge development toward supplier selection through the lenses of GIC.

This study uses an exploratory case study approach involving seven public universities in Ghana. A purposive sampling technique was used in selecting respondents who were interviewed through face-to-face and focus group discussions with a semistructured interview guide. Atlas ti software was used to generate themes for discussion.

The findings of this study attribute the nonapplication of green criteria to supplier selection to low knowledge among practitioners. Training, collaboration, opportunities for further studies and affiliation with professional bodies were identified as means to enhance green knowledge. Green human capital factors that support knowledge enhancement include commitment, capability, skills and ease of understanding.

Green procurement practitioners in public universities in developing countries stand little chance of integrating green criteria into supplier selection if they do not develop their level of knowledge.

Selecting green suppliers is a complex issue for public organizations, particularly universities. This study would therefore help equip managers of public universities and procurement practitioners with the relevant GIC knowledge for the successful integration of green credentials into supplier selection.

This paper highlights the importance of knowledge in green supplier selection. To the best of the authors’ knowledge, analyzing the role of GIC in knowledge development is considered the first of this kind of study.

This study aimed to explore the importance of various factors considered in the bank selection decisions of micro- and small-sized enterprises (MSEs) in Ethiopia.

The study used a structured questionnaire to collect data from 300 MSEs selected through a convenience sampling technique. Descriptive statistics, exploratory factor analysis and linear regression analysis methods are used to identify the most important factors determining bank selection by MSEs.

The results of exploratory factor analysis revealed that the availability of credit at a reasonable interest rate, lower service charges and the availability of better automated teller machine (ATM) services are the priorities of MSEs in their bank selection decisions. In addition, the results of regression analysis indicated that price competitiveness is the most important factor determining bank selection decisions of MSEs.

This study has two major limitations: first, due to resource constraints, the samples included in this study were taken only from the capital city of the country, Addis Ababa. As customer preferences are likely to vary from region to region, future studies could be carried out by including samples from other cities and rural areas of the country. Second, the study relied on a single data collection instrument. The use of additional data collection instruments, such as interviews and focus group discussions, could provide additional insights into the topic.

Commercial banks need to devise a flexible lending policy and set affordable interest rates and collateral requirements to meet the credit needs of MSEs. MSEs, on the other hand, need to improve their bankability by improving their operating and financial reporting practices. Further research can be conducted by covering other cities and the rural parts of the country.

The topic of bank selection has not been explored with a specific reference to MSEs in Ethiopia. The present study addressed this gap by investigating the factors influencing bank selection decisions of MSEs.

Refractory materials are now used in all major industries that demand high-temperature resistance, including petrochemicals, steel, cement and aviation. Businesses must decrease operating costs, enhance product technology, sell well and manage corporate risks in decision-making, notably supplier selection, to be more competitive. The study aims to determine the key criteria and factors of supplier selection and to evaluate the importance of the key factor of the supplier selection criteria for the refractory materials manufacturers in Taiwan.

Analytical hierarchy process (AHP) is used to rank these factors for the decision maker. The AHP method is suitable for verifying refractory supplier selection criteria and providing references. The weighted loss scores for each supplier are then determined using the relative importance as the weights. Supplier selection criteria are ranked using their aggregate weighted loss scores. The provider with the lowest loss score should be chosen.

Product quality is the most significant of the five criteria: product quality, production technology, logistics capacity, service capability and supplier background. Professionalism is the most significant aspect of product quality, whereas equipment and capacity are vital in manufacturing techniques. The studies also show that the delivery rate is essential for logistics and service capabilities.

This research has important implications for refractory suppliers in promptly fine-tuning the production and service to enhance customer satisfaction, which is key to business sustainability.

The application of an AHP technique to a real-world industrial issue is what makes this research unique. This research addressed one of the most critical topics in supply chain operations by offering better judgement for supplier selection via the use of suitable quantitative methodologies.