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Based on the cognitive appraisal theory of emotion and social comparison theory, this study explores the mediating mechanism and boundary conditions of supervisor bottom-line mentality on employee presenteeism.

Using hierarchical regression and bootstrapping, we test the hypothesized relationships with three-stage data from 265 full-time employees in China.

Supervisor bottom-line mentality has a significant positive influence on employee presenteeism. Workplace fear of missing out plays a mediating role between supervisor bottom-line mentality and employee presenteeism. Employees’ status-striving motivation positively moderates the influence of supervisor bottom-line mentality on employees’ workplace fear of missing out and enhances the mediating effect of workplace fear of missing out.

Presenteeism can be detrimental to employees’ health, and ultimately leads to a decrease in organizational productivity. Research conclusions warn companies to be vigilant about supervisors’ bottom-line mentalities and to strengthen employee health management.

This study explains when and how supervisor bottom-line mentality affects employee health, contributing to the literature on the antecedents of presenteeism and enriching the research on supervisor bottom-line mentalities and employee and organizational outcomes. This study clarifies the emotional mechanisms and boundary conditions of supervisor bottom-line mentality affecting presenteeism.

Waiting time, as an important predictor of queue abandonment and patient satisfaction, is important for resource utilization and patient experience management. Medical institutions have given top priority to reforming the appointment system for many years; however, whether the increased information transparency brought about by the appointment scheduling mechanism could improve patient waiting time is not well understood. In this study, the authors examine the effects of information transparency in reducing patient waiting time from an uncertainty perspective.

Leveraging a quasi-natural experiment in a tertiary academic hospital, the authors analyze over one million observational patient visit records and design the propensity score matching plus the difference in difference (PSM-DID) model and hierarchical linear modeling (HLM) to address this issue.

The authors confirm that, on average, improved information transparency significantly reduces the waiting time for patients by approximately 6.43 min, a 4.90% reduction. The authors identify three types of uncertainties (resource, process and outcome uncertainty) in the patient visit process that affect patients' waiting time. Moreover, information transparency moderates the relationship between three sources of uncertainties and waiting time.

The authors’ work not only provides important theoretical explanations for the patient-level factors of in-clinic waiting time and the reasons for information technology (IT)-enabled appointment scheduling by time slot (ITASS) to shorten patient waiting time and improve patient experience but also provides potential solutions for further exploration of measures to reduce patient waiting time.

Existing research has generally viewed that temporal leadership has positive impacts on employees but ignores its potential drawbacks. This study aims to develop a model to explore its possible negative impacts on employees, drawing upon social information processing theory.

This study conducts a multi-wave and multisource survey to test the model, and the authors test the hypotheses with multi-level analysis using Mplus 7.4 and R package for Monte Carlo.

Results suggest that temporal leadership induces employee work alienation, thus leading to employee silence. Furthermore, shared temporal cognitions moderate both the relationship between temporal leadership and work alienation and the indirect effect of temporal leadership on employee silence via work alienation.

Taken together, this study reveals the potential dark side of temporal leadership and provides a more comprehensive and dialectical research perspective for temporal leadership literature.

This study aims to see the variables of customer satisfaction level, attractiveness of alternatives, subjective norms and level of religiosity of conventional bank customers in West Java and their effect on switching intentions.

A causality description technique with a quantitative approach is used in this research. The analytical technique used is partial least square-structural equation modeling with a sample of 320 respondents from conventional bank customers in West Java.

The results revealed that the level of customer satisfaction and subjective norms were in the medium category, whereas the level of alternative attractiveness, religiosity and switching intentions was in high level. The level of customer satisfaction harms switching intentions, whereas the level of alternative attractiveness and religiosity variables have a positive effect on switching intentions. In contrast, the subjective norm variable does not affect switching intentions. Therefore, customer satisfaction, the attractiveness of alternatives and religiosity are essential points to cause someone to have the intention to switch.

For stakeholders, especially the government or the Islamic banking industry, to improve the climate of the Islamic finance industry in Indonesia, in particular, to increase knowledge and insight from the public regarding the intention to switch conventional bank customers to Islamic banks.

The use of the religiosity variable as an independent variable on switching intentions is still rarely done. Hence, the authors combine this variable with customer satisfaction, alternative attractiveness and subjective norms. The update in this study also places conventional bank customers included in the millennial generation and generation Z categories who live in the province of West Java as research subjects.

This study aims to investigate the mechanism of knowledge management within multinationals during the post COVID-19 era, with particular consideration given to the relationship between the cultural intelligence of top managers and knowledge-oriented leadership using fear of COVID-19 as a moderating factor.

Derived from upper echelons’ theory and research on knowledge management success (KMS), a theoretical model and associated hypotheses have been developed and tested. Structural equation modeling was used with statistics collected from 288 top managers and executives of multinational corporations dominated by knowledge-intensive industries through a network investigation.

Results indicate that the levels of executives’ cultural intelligence and knowledge-oriented leadership contribute to KMS, while knowledge-oriented leadership acts as a mediator between them. In addition, the fear of COVID-19 of senior executives negatively affects both the direct and mediated influence of cultural intelligence on KMS.

The current research uses an empirical approach to examine cross-border KMS. Further research is needed to develop more comprehensive measurement tools for KMS and more detailed research by further developing the subdimensions of cultural intelligence. In addition, this paper used cross-sectional research that limits the capability to establish causal relationships over time.

The research explores the “human side” of the key antecedents of KMS, fills the gap in research about the impact of cultural intelligence and knowledge-oriented leadership on the achievement of KMS, paves the way for emerging knowledge-oriented leadership from the initial phase to the mature phase and contributes to the literature on environmental uncertainty and crisis, using the COVID-19 as a representative context.

This paper examines data protection related ex ante transaction costs borne by the private sector in the context of smart city service (SCS) public tendering in the European Union after the introduction of the General Data Protection Regulation. This study aims to establish the determinants of ex ante transaction costs related to data protection as well as to determine their relevance toward (tender) competition.

A statistical analysis of a survey sample of 72 SCS tender bids.

The potential of relationship management to foster more private sector investment in data protection for SCSs is established, i.e. stronger ties between parties lead to higher private sector investment. Furthermore, it is found that investing more in data protection can further boost both internal capabilities and the organizational reputation of tendering organizations. Finally, the analysis exposes a potential problem concerning the market for data protection originating from the dominant approach concerning SCS tender bid evaluation.

SCS tender bid evaluation is not perceived by the evaluated companies as having data protection as a (core) component. As a consequence, there is no strong competition in that specific area. To induce the private sector to structurally develop SCSs that can be expected to safeguard the fundamental rights of citizens, a more thorough evaluation of data protection aspects of bids imposes itself. Such an overhaul is likely to demand additional public sector resources and expertise.

This paper constitutes an early investigation into data protection related ex ante transaction costs borne by private sector actors. Incentives for data protection investment in the context of public procurement procedures are discussed.

The purpose of this study is to provide ideas and theoretical guidance for green, environmentally friendly and efficient “bacteriostasis with bacteria” technology.

In this paper, a beneficial strain of bacteria was extracted and purified from marine mud. Weight-loss test, morphological observation and electrochemical test were used to systematically study the effect of sulfate-reducing bacteria (SRB)-induced corrosion inhibition on X65 steel in simulated offshore oil field production water.

The results showed that a beneficial strain was selected and identified as Vibrio alginolyticus. Under the condition of co-culture of SRB, the average corrosion rate of X65 steel was significantly reduced. In the mixed bacterial system, the surface of X65 steel samples was relatively flat, and the structure of biofilm and corrosion product film was dense. The number of corrosion pits, the average diameter and depth of corrosion pits were significantly reduced. The localized corrosion of X65 steel was significantly inhibited.

The complex and changing marine environment makes the corrosion problem of marine steel increasingly severe, and the microbiologically influenced corrosion (MIC) caused by SRB is particularly serious. The research and development of environmentally friendly corrosion protection technology is a long-term and difficult problem. The use of beneficial microorganisms to control MIC is a green and efficient anticorrosion measure. Compared with terrestrial microorganisms, marine microorganisms can adapt to complex environments, and their metabolites exhibit special biological activities. The use of marine beneficial bacteria can inhibit SRB activity to achieve the corrosion inhibition effect.

Through the study, we identified four effective paths to improve governance performance and also found the key direction for future research on digital twin urban implementation of public crisis governance, i.e. how to find a balance between the cost and the effectiveness of governance.

A total of 22 urban public emergencies were selected based on key influencing factors, and four action paths to improve the performance of public crisis governance in digital twin cities were obtained using a fuzzy set qualitative comparative analysis model.

This paper identified digital twin technologies in urban public crisis governance, analyzed the key factors of public crisis governance in the digital twin city and proposed a path of action to improve the performance of public crisis governance in digital twin cities.

This study focuses on the influencing factors of public crisis governance in digital twin cities and the action paths to promote improved governance performance.

This paper intends to address the decision-making and coordination of green supply chain (GSC) considering risk-averse manufacturers under mixed carbon policy.

This paper focuses on a GSC consisting of a manufacturer and a retailer, in which the manufacturer is risk-averse (R-A). This paper employs Stackelberg game theory and mean variance analysis to assess the pricing decision-making process under various scenarios. Furthermore, cost-sharing contracts are introduced to coordinate the GSC.

The research results suggest that the green level of the product and the profit of the GSC under a centralized scenario are higher than those under a decentralized scenario, while the retail price is lower. Under the decentralized scenario, the green level of product, wholesale price and manufacturer’s profit in the R-A scenario are lower than the values in the risk-neutrality scenario, while retailer's profit is higher. In addition, when a cost-sharing contract is utilized for coordination in the GSC, it can lead to Pareto improvement, regardless of whether the manufacturer makes risk-neutrality or R-A decisions.

This research provides a deeper understanding of GSC decision-making and coordination strategy under mixed carbon policy with consideration of R-A from a theoretical perspective and provides decision support for enterprises to choose strategies in practice.

This study aims to explore the determinants influencing consumer purchase intentions towards electric vehicles (EVs) within the Asian market. It specifically examines how perceived value and perceived risk interact with the moderating effects of environmental, policy, and social factors to shape consumer behaviors towards EV adoption. The purpose is to delineate the intricate mechanisms driving consumer intentions in the context of sustainable mobility solutions.

Adopting a quantitative research design, this investigation collected data via a survey targeting consumers across various Asian countries. The study utilized Structural Equation Modeling (SEM) to analyze the responses, enabling a robust examination of the relationships between perceived value, perceived risk, and the potential moderating roles of external factors on consumer purchase intentions towards EVs.

The analysis revealed that both perceived value and perceived risk significantly influence consumers' intentions to purchase EVs. It was also found that environmental factors effectively moderate the relationship between perceived risk and purchase intentions, while social factors moderate the relationship between perceived risk and purchase intentions, highlighting the complex influence of external elements on consumer decisions. Contrarily, policy factors did not exhibit a significant moderating impact on the relationships examined.

This research enriches the domain of sustainable technology adoption by providing nuanced insights into the factors driving consumer intentions towards EVs in the Asian context. It underscores the critical roles of perceived value and risk, along with the distinct moderating effects of environmental and social factors, offering strategic implications for stakeholders within the EV ecosystem. The study's findings contribute to the broader discourse on consumer behavior in green technology adoption, laying groundwork for future investigations across diverse settings.