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This study aims to provide a comprehensive overview of pro-environmental behavior (PEB) research within higher education institutions (HEIs), highlighting current trends and future challenges.

Using 198 journal articles from the Web of Science, the study conducts co-citation, bibliographic coupling and co-word analyses to map influential publications and forecast trends.

The co-citation analysis revealed three distinct clusters: value-driven environmental behavior, intention-based environmental behavior and green organizational practices and employee PEB. The bibliographic coupling and the co-word analysis revealed more nuanced clusters, holistically identifying academic activities towards PEB. The authors conclude that more strategic and PEB-oriented HEI’s actions are crucial due to the social responsibility of the universities for sustainable development.

This paper provides valuable insights into the expanding area of PEB research and climate leadership empowerment within HEIs. The practical implications of this research are significant for HEIs. It guides the creation of effective policies and interventions to foster sustainable behavior and reduce environmental harm. The study shows the development of educational programs and campaigns promoting sustainable practices among individuals and communities, emphasizing the role of HEIs in cultivating a sustainability-conscious generation.

The capacity of organizations to adapt swiftly and implement innovative approaches has ignited discussions about which human resource management (HRM) practices can foster creativity and innovative work behavior (IWB) among employees. Research suggests that IWB thrives in an environment where HRM acts as the architect, influencer and developer. However, our understanding of the specific HRM practices that promote innovative work behaviors remains limited. Existing studies offer scattered and occasionally conflicting insights, particularly concerning measurements and theoretical frameworks that could enable greater generalizability. Consequently, a comprehensive review of the relationships between HRM, innovation and IWB could provide clearer evidence about how HRM impacts innovation. This research presents a bibliometric analysis of research on the relationship between HRM and IWB. The purpose of this analysis is to provide an in-depth overview of the current state and future prospects of HRM and IWB by examining past and current research trends and predict future research directions.

The study used a bibliometric approach to collect 280 journal articles from the Web of Science database. The study identifies the most influential publications, outlines the knowledge structure and forecasts future trends using co-citation and co-word analysis.

The results of the co-citation and co-word analysis revealed the existence of four clusters. While acknowledging some limitations, this review sheds light on the expanding field of HRM and IWB research.

The study provides a comprehensive understanding of HRM and IWB as well as insights into future advancements in the field.

This is the first study to use bibliometric analysis based on the Web of Science (WOS) database to conduct a quantitative evaluation of the HRM practice and IWB literature.

This paper aims to address the longitudinal control problem for person-following robots (PFRs) for the implementation of this technology.

Nine representative car-following models are analyzed from PFRs application and the linear model and optimal velocity model/full velocity difference model are qualified and selected in the PFR control.

A lab PFR with the bar-laser-perception device is developed and tested in the field, and the results indicate that the proposed models perform well in normal person-following scenarios.

This study fills a gap in the research on PRFs longitudinal control and provides a useful and practical reference on PFRs longitudinal control for the related research.

With multiple-related organizations, worldwide infections, deep economic recession and public disorder, and large consumption amount of anti-epidemic resources, the coronavirus disease 2019 (COVID-19) has been defined as a public health emergency of international concern (PHEIC). Nowadays, Wuhan has recovered from the pandemic disaster and reentered normalization. The purposes of this study are to (1) summarize organization collaboration patterns, successful experience and latent defects under across-stage evolution of Wuhan's cooperation governance mode against the pandemic, and on the basis, (2) reveal how the COVID-19 development trends and organizations' collaborative behaviors affected each other.

Detailed content analysis of online news reports covering COVID-19 prevention and control measures on the website of Wuhan Municipal Government was adopted to identify organizations and their mutual collaborative interrelationships. Four complex network (CN) models of organization collaboration representing the outbreak, preliminary control, recession and normalization stages, respectively, were established then. Time-span-based dynamic parameter analyses of the proposed networks, comprising network cohesiveness analysis and node centrality analysis, were undertaken to indicate changes of global and local characteristics in networks.

First, the definite collaborative status of Wuhan Headquarters for Pandemic Prevention and Control (WHPPC) has persisted throughout the period. Medical institutions and some other administrations were the most crucial participants collaborating with the WHPPC. Construction-industry organizations altered pandemic development trends twice to make the situation controllable. Media, large-scale enterprises, etc. set about underscoring themselves contributions since the third stage. Grassroots cadres and healthcare force, small and medium-sized enterprises (SMEs), financial institutions, etc. were essential collaborated objects. Second, four evolution mechanisms of organization collaboration responding to the COVID-19 in Wuhan has been proposed.

First, universality of Wuhan-style governance experience may be affected. Second, the stage-dividing process may not be the most appropriate. Then, data source was single and link characteristics were not considered when modeling.

This study may offer beneficial action guidelines to governmental agencies, the society force, media, construction-industry organizations and the market in other countries or regions suffering from COVID-19. Other organizations involved could also learn from the concluded organizations' contributions and four evolution mechanisms to find improvement directions.

This study adds to the current theoretical knowledge body by verifying the feasibility and effectiveness of investigating cooperation governance in public emergencies from the perspectives of analyzing the across-stage organization collaboration CNs.

This study aims to investigate the effect of sandwich-generation caregiving (caregiving for elders and children simultaneously) on employed caregivers’ job satisfaction when compared with non-sandwich caregiving patterns of no caregiving, children-only caregiving and elders-only caregiving. This study also aims to explore whether depression mediates this effect and whether three types of caregivers-friendly work time (less work-time length, less nonstandard work-time schedule and more work-time autonomy) buffer these direct and indirect effects.

A sample of 7,571 Chinese employees is chosen from the 2020 China Family Panel Studies through a multistage stratified sampling design.

After controlling for employees’ sociodemographic, work and other caregiving characteristics, this study finds that sandwich-generation caregiving is indeed more likely to negatively affect employees’ job satisfaction when compared with no caregiving and elders-only caregiving, but to the same extent as children-only caregiving. This study also suggests that the effect of sandwich-generation caregiving on job satisfaction is mediated by employees’ depression and that three types of caregiver-friendly work time help to weaken the negative effects on employees’ depression and job satisfaction.

To the best of the authors’ knowledge, this is the first study to explore the negative spillover effect and its mechanisms of caregiving on employees’ job satisfaction through focusing on a special caregivers group: employed sandwich-generation caregivers. These results shed light on the importance of extending caregiver studies to the workplace and provide implications for organization managers and human resources practitioners to design caregiver-friendly workplace policies to maintain employed caregivers’ work-family balance.

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.

The purpose of this paper is to develop and test an empirically grounded comprehensive framework of e-quality that is the composite of the relationship between e-satisfaction and e-loyalty. This study’s objectives were: first, to develop a comprehensive measurement scale of perceived quality from an operations perspective, based on the classic Engel-Kollat-Blackwell (EKB) decision-making process; second, to develop a framework that integrates dimensions of quality and measures perceptions of e-quality during the customer’s decision-making process; and third, to examine the predictive capability of quality attributes in relation to service operations that rely on customer satisfaction and customer loyalty.

Following review of the related literature, focus group protocols were developed and interviews conducted. Based on the focus group input, surveys were developed and administered. Survey data from 717 online customers allowed testing the research hypotheses, and structural equation modeling allowed validation of the research framework.

The study determined that “e-channel quality”, “e-service quality” (including “web site quality” and “transaction quality”), and “product quality” positively influence customer e-satisfaction within an online operation. These constructs, in turn, influence customer e-loyalty in the e-commerce domain. The findings contribute valuable theoretical and managerial implications that can improve e-service operations.

The paper fills a relevant gap in the e-commerce and services operations literature by empirically developing and validating a new and robust quality measurement scale based on the EKB consumer decision-making process. The study also makes an important research contribution by providing empirical evidence that quality is pivotal in gaining customer loyalty and a competitive e-commerce edge.

This study aims to characterize the experiences of health professionals participating in an exploratory randomized controlled trial designed to improve hearing and vision among older adults without dementia receiving the in-home health services provided by Norwegian municipalities.

Semistructured individual and paired interviews were conducted by nine health professionals from five municipalities to explore health professionals’ experiences with the intervention. The data were analyzed using content analysis.

Three main categories of experiences were identified: (1) participating in the intervention, (2) emerging new knowledge and (3) developing in-home health services. The mutual collaboration between health professionals and service recipients during the screening process led to a more-thorough understanding of the service recipients’ needs and resources, enabling personalized advice and guidance.

In-home interventions have the potential to improve the quality of life of older adults with hearing and vision impairments. Given the promising outcomes of such interventions, future research should (1) investigate their effects on changes in behaviors and attitudes, (2) integrate technological advancements and (3) explore environmental modifications to further enhance the quality of life of older adults in various settings.

The health professionals in this study enjoyed assisting the service recipients in receiving in-home health services by screening their hearing, vision and indoor lighting conditions. The trial enabled the health professionals to provide personalized advice, and to motivate and guide the service recipients toward actions to remedy their impairments.

The health professionals recommended hearing, vision and indoor lighting screening to be a routine municipal service because it would safeguard independence, prevent falling and maintain the quality of life of service recipients. However, additional resources are needed to implement these recommendations.

In-home interventions have the potential to improve the quality of life of older adults with hearing and vision impairments.

This paper aims to propose a robust and efficient method for vanishing point detection in unstructured road scenes.

The proposed method includes two main stages: drivable region estimation and vanishing point detection. In drivable region estimation stage, the road image is segmented into a set of patches; then the drivable region is estimated by the patch-wise manifold ranking. In vanishing point detection stage, the LSD method is used to extract the straight lines; then a series of principles are proposed to remove the noise lines. Finally, the vanishing point is detected by a novel voting strategy.

The proposed method is validated on various unstructured road images collected from the real world. It is more robust and more efficient than the state-of-the-art method and the other three recent methods. Experimental results demonstrate that the detected vanishing point is practical for vision-sensor-based navigation in complex unstructured road scenes.

This paper proposes a patch-wise manifold ranking method to estimate the drivable region that contains most of the informative clues for vanishing point detection. Based on the removal of the noise lines through a series of principles, a novel voting strategy is proposed to detect the vanishing point.

In this paper, we empirically investigate how crypto investments in times of economic downturn would affect credit card usage, a widely used payment method that has a significant impact on individual financial well-being.

We carry out an ordinary least squares regression analysis and an instrumental variable design on data from the most recent National Financial Capability Study 2021 (NFCS2021). The NFCS2021 collects information about various demographic and financial backgrounds of US adults.

We find that crypto investments are associated with a significantly higher likelihood of credit card misuse, as indicated by making only the minim um payments, late payments and using credit cards for cash advances. Meanwhile, social media use is a strong predictor of crypto investments. Results from our analysis are robust after accounting for endogeneity concerns using an instrumental variable design.

Our findings provide new insights into the influence of emerging financial instruments on delinquent credit card behaviors, which can further intensify individual and household financial instability during periods of market stress. Furthermore, our findings underscore the necessity of improving individual awareness of the high-risk characteristics of cryptocurrencies, despite their increasing popularity in the financial marketplace in the current financial marketplace.