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The present work investigated the effect of corporate social responsibility and top management support on employee ecological behaviour (EEB) with the mediating role of green culture and green commitment. Social identity theory (SIT) was used to describe the association between green culture, green commitment and EEB. Further, a conceptual model that summarises the interaction between perceived corporate social responsibility, top management support, green commitment, green culture and the adoption of ecological behaviour was developed.

The paper opted for a quantitative design using convenience sampling by collecting the data through a structured questionnaire gathered from 308 academics working in five Malaysian higher education institutions.

Corporate social responsibility and top management support positively influence green culture and commitment. Moreover, green commitment positively influenced EEB and fully mediated the relationship between corporate social responsibility and EEB and between top management support and EEB.

The academic staff of universities was the target population of this research. Nevertheless, universities have a diverse population with complex activities that can affect the implementation of a sustainable workplace within the campus. Future research should also examine non-academic staff, including administrative, technical and operational staff, due to different employees' perceptions.

As far as the authors know, this is the first study to assign the mediator role to green culture in a relationship between top management support and EEB amongst academic staff in the Malaysian context. Future research should consider other intervening variables that influence adopting ecological behaviour.

Free knowledge sharing in the online health community has been widely documented. However, whether free knowledge sharing can help physicians accumulate popularity and further the accumulated popularity can help physicians attract patients remain unclear. To unveil these gaps, this study aims to examine how physicians' popularity are affected by their free knowledge sharing, how the relationship between free knowledge sharing and popularity is moderated by professional capital, and how the popularity finally impacts patients' attraction.

The authors collect a panel dataset from Hepatitis B within an online health community platform with 10,888 observations from April 2020 to August 2020. The authors develop a model that integrates free knowledge sharing, popularity, professional capital, and patients' attraction. The hierarchical regression model is used to for examining the impact of free knowledge sharing on physicians' popularity and further investigating the impact of popularity on patients' attraction.

The authors find that the quantity of articles acted as the heuristic cue and the quality of articles acted as the systematic cue have positive effect on physicians' popularity, and this effect is strengthened by physicians' professional capital. Furthermore, physicians' popularity positively influences their patients' attraction.

This study reveals the aggregation of physicians' popularity and patients' attraction within online health communities and provides practical implications for managers in online health communities.

Studies on developed economies showed that imposing taxes on animal-based foods could effectively reduce agricultural greenhouse gas emissions (AGHGEs), while this taxation may not be appropriate in developing countries due to the complex nutritional status across income classes. Hence, this study aims to explore optimal tax rate levels considering both emission reduction and nutrient intake, and examine the heterogenous effects of taxation across various income classes in urban and rural China.

The authors estimated the Quadratic Almost Ideal Demand System model to calculate the price elasticities for eight food groups, and performed three simulations to explore the relative optimal tax regions via the relationships between effective animal protein intake loss and AGHGE reduction by taxes.

The results showed that the optimal tax rate bands can be found, depending on the reference levels of animal protein intake. Designing taxes on beef, mutton and pork could be a preliminary option for reducing AGHGEs in China, but subsidy policy should be designed for low-income populations at the same time. Generally, urban residents have more potential to reduce AGHGEs than rural residents, and higher income classes reduce more AGHGEs than lower income classes.

This study fills the gap in the literature by developing the methods to design taxes on animal-based foods from the perspectives of both nutrient intake and emission reduction. This methodology can also be applied to analyze food taxes and GHGE issues in other developing countries.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.

This study aims to develop and test an original conceptual framework that examines the role of various factors borrowed from three theories (i.e. Institutional Theory, Resource-Based View and Diffusion of Innovation) in adopting Human Resource Analytics (HRA).

A new conceptual framework (research model) is developed based on previous research and coherent theoretical arguments. Its factors are classified using the Technology–Organization–Environment (TOE) framework. Research hypotheses are tested using primary data collected from 152 managers of Greek organizations. Empirical data are analyzed using the “Structural Equation Modelling” (SEM) technique.

The technological and organizational context proved extremely important in enhancing Organizational Analytics Maturity (OAM) and HRA adoption, while the environmental context did not. Relative advantage and top management support were found to significantly impact the adoption of HRA, while Information Technology (IT) infrastructure, human resource capabilities and top management support are crucial for increasing OAM. Overall, the latter is the most important factor in enhancing HRA adoption.

This study contributes to the limited published research on HRA adoption while at the same time it can be used as a guideline for future research. The novel findings offer insights into the factors impacting OAM and HRA adoption.

This research draws on drive reduction theory and mental accounting theory to understand how the prospect of reselling used items can influence consumer feelings of consumption guilt and impact their willingness to purchase new products.

We conducted two studies with between-subjects designs to explore this relationship. In Study 1, we examined the correlation between consumers' perceived guilt and their willingness to buy a new product, considering their awareness of the product’s resale potential. Study 2 delved into the aspect of reselling a similar old product already owned by the consumer.

The findings suggest three key insights. First, consumers' awareness of resale potential significantly affects their guilt perception and purchasing decisions. Second, the resale reference price (RRP) can decrease guilt perception but increase the intention to buy a new product. Lastly, when consumers are aware of the resale value of a previously owned product that is similar to the desired new product, the effect of the RRP on their purchasing intent is mediated by consumer guilt.

This research fills a theoretical gap by empirically exploring the emotional motivations behind consumer resale behavior. It presents a novel perspective on how resale activities can shape feelings of guilt and impact purchasing decisions. This offers important implications for understanding the dynamics of consumer behavior in the second-hand market.

The study seeks to evaluate the effect of capital adequacy and competition on the liquidity creation of Kenyan commercial banks.

Unbalanced panel data from 36 Kenyan commercial banks with licenses from 2001 to 2020 is used in the study. The generalized method of moments (GMM), a two-step system, is employed in the investigation. To increase the robustness and prevent erroneous findings, serial correlation tests and instrumental validity analyses are used. The methodology developed by Berger and Bouwman (2009) is used to estimate the commercial banks' levels of liquidity creation.

The study supports the financial fragility-crowding out hypothesis by finding a significant negative effect of capital adequacy on the liquidity creation of commercial banks. The research also identifies a significant inverse relationship between competition and liquidity creation, depicting competition's value-destroying effect.

A trade-off exists between capital adequacy and liquidity creation, which must be carefully evaluated as changes in capital requirements are considered. The value-destroying effect of competition on liquidity creation presents a case for policy geared toward consolidating banks' operations through possible mergers and acquisitions.

To the best of the authors' knowledge, this is the first study to empirically offer evidence concurrently on the effect of competition and capital adequacy on the liquidity creation of commercial banks in a developing economy such as Kenya. Additionally, the authors employ a novel measure of competition at the firm level.

This study aims to empirically examine the relationship between Internet use and personal privacy risk perceptions, the mediating effect of trust and the moderating effect of satisfaction on that relationship, which is exactly conducive to the practice of personal information protection.

A moderated mediation model will be employed to test the hypothesized relationships using the 2017 Chinese Society Survey data.

The authors find that Internet use positively relates to citizens' risk perceptions toward privacy security, and trust partially mediates the relationship between Internet use and privacy risk perception. In addition, the analysis of moderating effects showed that satisfaction with social life significantly enhances the negative impact on individuals' privacy risk perceptions of interpersonal trust. The positively moderating effect of satisfaction with local governments' work mainly reveals the relationship between interpersonal trust (or institutional trust) and citizens' privacy risk perception. Moreover, satisfaction with Internet platforms positively moderates the relationship between consumer trust and privacy risk perception.

This article contributes to the social risk amplification framework by applying it to the personal privacy information protection field, which was rarely discussed before. It also enriches privacy research by identifying the internal mechanism of how Internet use influences citizens' risk perceptions towards privacy information leakage.

This study aims to investigate the impact of liquidity creation (LC) on the profitability and stability of banks while considering the moderating role of corruption.

Panel data from 23 conventional banks and five Islamic banks in Pakistan spanning from 2008 to 2021 were used for analysis. The study used fixed effect and random effect models, along with the generalized method of moments estimation to ensure robustness of the results.

The study reveals a negative relationship between LC and banking profitability, but a positive association with banking stability. Additionally, corruption is found to play a moderating role in the relationship between LC, profitability and stability in the banking sector of Pakistan.

The findings have practical implications for bank managers and investors, emphasizing the negative relationship between LC and profitability in Pakistan. Moreover, the study highlights the significant impact of corruption on bank performance, which can guide policymakers in formulating strategies to strengthen the banking sector and prevent financial turmoil in the future.

This study makes a significant contribution to the existing literature by examining the moderating role of corruption in the relationship between LC, profitability and stability in both conventional and Islamic banks.

This study investigates the relationship between bank capital and liquidity creation and further examines the effect that institutional quality has on this relationship in Sub-Saharan Africa (SSA).

The data comprise 41 universal banks in nine SSA countries from 2010 to 2022. The study employs the two-step system generalized methods of moments and further uses alternative estimators such as the fixed-effect and two-stage least squares methods.

The empirical results show that bank capital has a direct positive and significant effect on liquidity creation. In addition, the positive effect of bank capital on liquidity creation is enhanced, particularly in a strong institutional environment. The results imply that nonconstraining capital regulatory policies bolster bank solvency, improve risk-absorption capacity and increase liquidity creation.

This study has several policy implications. First, it provides empirical evidence on the position of banks in SSA on the financial fragility and risk-absorption hypothesis of bank capital and liquidity creation debates. This study shows that the effect of bank capital on liquidity creation in SSA countries is positive and supports the risk-absorption hypothesis. Second, this study highlights that a country's quality institutions can complement bank capital to increase liquidity creation. In addition, this study highlights that nonconstraining capital regulatory policies will bolster bank solvency, improve risk-absorption capacity and increase liquidity creation.

The novelty of this study is that it introduces the country's quality institutional environment into bank capital and liquidity creation links for the first time in SSA.