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There are two main objectives in this study. First, we aim to develop a set of constructs for health task management support (HTMS) features to evaluate which health-related tasks are supported by mobile health application (mHealth app) functions. Second, drawing on innovation resistance theory (IRT), we examine the impacts of the newly developed HTMS dimensions on perceived usefulness, alongside other barrier factors contributing to technology anxiety.

Using a mixed-method research design, this research seeks to develop new measurement scales that reflect how mHealth apps support older adults’ health-related needs based on interviews. Subsequently, data were collected from older adults and exploratory factor analysis was used to confirm the validity of the new scales. Partial least squares structural equation modeling (PLS-SEM) was used to analyze survey data from 602 older adults.

The PLS-SEM results indicated that medical management task support, dietary task support, and exercise task support were positively associated with perceived usefulness, while perceived complexity and dispositional resistance to change were identified as antecedents of technology anxiety. Perceived usefulness and technology anxiety were found to positively and negatively influence adoption intention, respectively.

This study enriches the information systems literature by developing a multidimensional construct that delineates how older adults’ health-related needs can be supported by features of mHealth apps. Drawing on IRT, we complement the existing literature on resistance to innovation by systematically examining the impact of five types of barriers on technology anxiety.

Live streaming commerce has emerged as an essential strategy for vendors to effectively promote their products due to its unique content presentation and real-time interaction. This study aims to investigate the influence of viewer-streamer interaction and viewer-viewer interaction on consumer trust and the subsequent impact of trust on consumers' purchase intention within the live streaming commerce context.

A survey questionnaire was conducted to collect data, and 403 experienced live streaming users in China were recruited. Covariance-based structural equation modeling (CB-SEM) was used for data analysis.

The results indicated that viewer-streamer interaction factors (i.e., personalization and responsiveness) and viewer-viewer interaction factors (i.e., co-viewer involvement and bullet-screen mutuality) significantly influence trust in streamers and co-viewers. Additionally, drawing on trust transfer theory, trust in streamers and co-viewers positively influences trust in products, while trust in co-viewers also positively influences both trust in streamers and products. Furthermore, all three forms of trust positively impact consumers' purchase intentions.

This study enriches the extant literature by investigating interaction-based trust-building mechanisms and uncovering the transfer relationships among three trust targets (streamers, co-viewers and products). Furthermore, this study provides some practical guidelines to the streamers and practitioners for promoting consumers’ trust and purchase intention in live streaming commerce.

Social responsibility (SR) has become critical in facilitating the sustainability of new infrastructure construction (NIC) and is also a nonnegligible aspect in its management. Although studies attempting to explore this issue from various and disparate perspectives have become increasingly popular, no consensus has yet been reached regarding what SR factors affect NIC management. This paper aims to establish an inventory of SR factors for NIC and reveal a comprehensive framework for SR of NIC (NIC-SR) management through an in-depth analysis of the relationships among factors.

This article proposes a mixed-review method that combines the preferred reporting items for systematic reviews and meta-analyses and content analysis methods as a solution.

From 62 chosen publications on NIC-SR published in peer-reviewed journals between 2010 and 2022, a total of 44 SR factors were found. These 44 SR factors were divided into 4 interconnected categories: political, ethics-environmental, legal and economic. Based on the interactions among SR factors and incorporating the impact of the four categories of SR factors on NIC management, an integrated framework from micro to macro was developed.

This paper educates researchers and practitioners about the SR factors that must be considered to improve the sustainability of NIC management and provides practical implications for architectural, engineering and construction (AEC) practices. Furthermore, it serves as an impetus for governments to improve their programs and policies and fulfill social responsibilities.

Modern subway transportation systems need to satisfy increasing safety demands to rapidly evacuate passengers under hazardous emergency circumstances, such as fires, accidents or terrorist attacks, to reduce passenger injuries or life losses. The emergency evacuation capacity (EEC) of a subway station needs to be revised timely, in case passenger demand increases or the evacuation route changes in the future. However, traditional ways of estimating EEC, e.g. fire drills are time- and resource-consuming and are difficult to revise from time to time. The purpose of this study is to establish an intuitive modelling approach to increase the EEC of subway stations in a stepwised manner.

This study develops an approach to combine agent-based evacuation modelling and building information modelling (BIM) technology to estimate the total evacuation time of a subway station.

Evacuation time can be saved (33% in the studied case) from iterative improvements including stopping escalators running against the evacuation flow and modifying the geometry around escalator exits. Such iterative improvements rely on integrating agent-based modelling and BIM.

The agent-based model can provide a more realistic simulation of intelligent individual movements under emergency circumstances and provides precise feedback on locations of evacuation bottlenecks. This study also examined the effectiveness of two rounds of stepwise improvements in terms of operation or design to increase the EEC of the station.

This research explores the complex interplay of multiple social factors with regard to what might encourage or inhibit users to interact with social commerce (SC).

To investigate the phenomenon, we developed a model based on goal-directed behaviour and pluralistic ignorance theory (typically generated by universal behavioural adherence to social norms). Based on the 394 valid responses collected from a survey, partial least squares structural equation modelling (PLS-SEM), PROCESS and ANOVA were employed to examine the research hypotheses.

The results show that pluralistic ignorance and commercial desire positively influence SC intention. More importantly, our results show that the moderating effect of pluralistic ignorance dampens the positive relationship between social subjective norms and commercial desire. The findings also suggest that pluralistic ignorance mediates the relationships between: (1) social identity and SC intentions and (2) fear of isolation and SC intentions.

Consequently, this study reveals that SC intentions result from complex interactions between an individual’s psychology and social phenomena. Theoretical and managerial implications are also discussed to provide for the successful development of strategies regarding SC for researchers and SNSs operators.

This study examines the direct influence of team-member exchange (TMX) on team innovative work behavior (IWB) and the mediating roles of team knowledge sharing and team job crafting.

To test our research model, we collected multilevel, multisource, and multi-wave data from 284 employees and 74 teams in Pakistan.

TMX positively relates to team IWB directly and indirectly via serial mediation of team knowledge sharing and team job crafting.

This is the first study to investigate how TMX promotes team IWB through team knowledge sharing and team job crafting.

The world today is heavily controlled by the content available on the internet, where a one-star rating gain may work wonders for a company and a one-star rating decline can cause huge damage. Online booking platforms provide more freedom, privacy and contact with experienced travelers than physical hotel booking. The study identifies the factors shaping travelers' online hotel booking intention (OHBI).

We utilized structural equation modeling (SEM) to expand the horizons of the technology acceptance model (TAM) and stimulus-organism-response (SOR) framework in the hospitality sector. The results are based on the data collected from 705 travelers who made online hotel reservations.

The findings demonstrate that online reviews, hotel website quality and hotel website convenience quotient favorably shape prospective tourists' perceived trust, magnifying their inclination to book a hotel online. Website convenience quotient and trust partially mediate the association between the constructs. In addition, the linkage between perceived trust and OHBI is strengthened by promotional offers but weakened by perceived risk.

Our findings provide several important implications for hotel managers, prospective travelers, hotel owners, website developers, policymakers, hotel employees, the local community and competitors to expedite the growth of the Indian hotel industry.

The literature reveals that website convenience quotient, perceived trust and promotional offers have not received enough attention in the hospitality industry and warrant attention. Our study strives to broaden the scope of the TAM and SOR models to better understand these constructs in the backdrop of the Indian hospitality sector. The study also examines how promotional offers and perceived risk influence the linkages between the underlying constructs.

Previous studies have proven the significant influence of nostalgia on tourists' perceptions, intentions, and behaviors. While much of the research has focused on nostalgia as a motivator for destination choice in the pre-trip stage, fewer studies have explored the effects of nostalgia experienced during visits on other behavioral intentions beyond revisit intention. This paper aims to fill this gap by examining the impact of nostalgic emotion experienced at tourist destinations on behavioral intentions, specifically pro-sustainable behavioral and word-of-mouth (WOM) intentions through destination image.

This study developed a conceptual model grounded in existing literature and empirical research on nostalgia and consumer behavior. Data were gathered from international tourists via surveys conducted in Hue City, a UNESCO World Heritage Site. The hypotheses were tested using structural equation modeling (SEM) with Amos 23.0.

The research results reveal that nostalgic emotion positively impacts destination image and WOM intention. Destination image correlates positively with both pro-sustainable behavioral intention and WOM intention. Destination image serves as a mediator in the relationship between nostalgic emotion and WOM intention. Theoretical and practical implications are also discussed in the current work.

The findings of this research provide guidance for nostalgic elements to be integrated into tourism experiences and marketing campaigns to enhance tourists' emotional connections, thereby improving the destination’s overall appeal. Additionally, while nostalgia does not directly foster pro-sustainable behavioral intentions, a positive destination image can influence these behaviors, suggesting that sustainable tourism strategies should also focus on strengthening the destination’s image.

This paper contributes to both theoretical advancements and practical applications in the field of tourism psychology and marketing by shifting the focus from nostalgia as a motivator for destination choice in the pre-trip stage to exploring the effects of nostalgic emotions experienced during visits on behavioral intentions beyond revisit intentions.

Integrating balance theory and social identify theory, this paper proposes a multilevel model to explain how abusive supervision climate of team impacts the relationship among team members as well as subordinates’ behavior towards their teammates, especially organizational citizenship behavior (OCB).

A survey was conducted to collect two-wave and multi-source data from 398 employees nested in 106 teams from Chinese high-technology companies. Hierarchical linear modeling was conducted to examine the theoretical model.

The results indicate that there is an inverted U-shape association between abusive supervision climate and subordinates’ OCB towards coworker; team member exchange (TMX) mediates their inverted U-shaped link. Furthermore, we confirm that coworker support plays a vitally moderating role upon the curvilinear link of abusive supervision climate (ASC)–TMX; specifically, when employees perceive low coworker support, negative relations between ASC and TMX will be stronger.

This study identifies team members’ advantageous and adverse relational response to shared threat of ASC and examines coworker support as a moderator of ASC, which provides valuable insights into when and why employees tend to cooperate with their teammates to jointly confront their leader’s abuse and highlights the importance of coworkers, thus enabling organizations to deeply understand the wider influences of ASC on interpersonal relationship between team members.

This paper aims to design a PD controller for an active suspension system to improve the car’s moving smoothness.

The controller parameters are optimized by an in-loop genetic algorithm (iL-GA). Unlike previous studies that only used conventional GAs to tune coefficients for the controller, the iL-GA designed in this paper provides outstanding efficiency when determining the optimal value range for the system. The optimal value range of parameters is determined by the in-loop algorithm based on criteria related to systematic errors. The optimal values are then calculated by the GA based on this range instead of an uncertain one.

Simulation results show that vehicle body acceleration and displacement values are significantly reduced when using the active suspension system compared to the conventional passive suspension system. The phase difference phenomenon does not occur in the iL-GA situation. In addition, the frequency domain investigation also shows the system’s stability when using iL-GA instead of conventional GA.

To the best of the authors’ knowledge, this is a new application that provides positive effects to the suspension controller. This algorithm can be applied to tune coefficients for direct controllers in the future.