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The purpose of this study is to review the literature on the adoption determinants of mobile health (M-health) applications for health behavior change following a systematic methodology.

This review systematically identified 134 peer-reviewed studies out of 10,687 from Scopus, Web of Science, PubMed and the Association for Computing Machinery (ACM) published between 2010 and 2021. This review used a thematic analysis to produce the main themes conceptualizing a holistic framework of the investigated M-health application adoption factors.

Despite the exploration of multifaceted adoption determinants and behaviors, the current publications exhibit limitations. The studies not only show a lack of representation of multiple health behaviors and medical conditions but also fail to involve data from low- and middle-developing countries, where M-health application utilization is crucial. Findings revealed that there is a considerable absence of a solid theoretical foundation that unveils a gap in interpreting the adoption factors effectively. Understanding cultural and demographic variances and exploring financial factors and healthcare provider involvement is essential for tailoring M-health application interventions. Continuous assessment of technological factors and evaluation of the actual impact of M-health application usage on behavioral changes and health outcomes will further enhance the effectiveness and adoption of these technologies.

This review is one of the first comprehensive reviews of determinants of M-health application adoption targeting health behavior change for the general public and patients.

This research aims to investigate the trajectory tracking problem for a four-wheel independent drive autonomous vehicle (4WID) and propose an integrated, coordinated control strategy to address the mutual interference between trajectory tracking and stability control in extreme cases.

The authors establish an adaptive preview model that modifies the preview distance based on vehicle speed. They utilize a three-degrees-of-freedom vehicle model and employ model predictive control to calculate the necessary front wheel angle for trajectory tracking. In terms of longitudinal control, a longitudinal coordinated control mechanism is established to achieve the two conflicting objectives of trajectory tracking accuracy and dynamic stability through early deceleration. A stability controller based on sliding mode control (SMC) is designed, considering tire constraints and tracking the optimal yaw angle and sideslip angle. Furthermore, a lateral coordinated control strategy is developed, considering the weight coefficient of stability control, and the yaw moment is calculated and distributed based on the vehicle torque requirements.

The proposed integrated, coordinated control strategy successfully addresses the mutual interference between trajectory tracking and stability control in extreme cases for the 4WID vehicle. The strategy achieves trajectory tracking accuracy, dynamic stability and reduced energy consumption while taking into account tire constraints.

We have proposed a cooperative control strategy for the trajectory tracking problem of autonomous driving vehicles. This strategy is different from previous methods in that we have taken into account the integrated dynamic control in both longitudinal and lateral directions, balancing the conflicting control requirements and reducing energy consumption, improving trajectory tracking accuracy and vehicle dynamic stability. We have verified the feasibility of this strategy through joint simulation under different driving conditions.

This study aims to investigate the influence of network power on exploratory and exploitative innovation and examines the moderating effects of power distance and procedural justice on these untested relationships.

This study uses survey data collected from firms in China and explores the influential mechanisms of network power, power distance and procedural justice in firm innovation.

This study empirically shows that network power has an inverted U-shaped effect on exploratory and exploitative innovation. Power distance weakens the effect of network power on exploratory and exploitative innovation, and procedural justice enhances the effect of network power on exploratory and exploitative innovation.

This study extends resource dependence theory and contributes to the literature on innovation management. Future studies should use different collection channels or research methods to provide more evidence for model promotion. In addition, the dynamic power game among network members and the roles of other mediators or moderators warrant further consideration.

Managers should exercise power strategies properly and ensure that their innovation income exceeds expenditures. Managers need to pay serious attention to power distance and procedural justice in the network and formulate suitable cooperation strategies based on actual conditions.

This study applies the resource dependence theory to investigate the influence of network power on exploratory and exploitative innovation. In addition, the moderating roles of power distance and procedural justice in the above relationships, which have rarely been discussed in previous studies, were tested.

This study aims to explore how autonomy, competence and relatedness impact work-based learning (WBL) motivation and engagement, contributing to enhanced employability skills. Additionally, it examines whether there are significant differences in these effects between students from STEM and social humanities.

This study employed a correlational design with 284 undergraduate students, collecting cross-sectional data through validated surveys on autonomy, competence, relatedness, WBL and employability skills. The analysis utilized structural equation modeling partial least squares (SEM-PLS) and partial least squares-multi-group analysis (PLS-MGA) to explore WBL’s mediating role in the relationship between SDT components and employability skills, with comparisons across different academic faculties.

The results show that autonomy, competence and relatedness significantly enhance students’ employability skills through WBL. WBL serves as a mediator that strengthens student motivation and engagement, with notable differences in the effects between STEM and social humanities students.

Higher education institutions should integrate SDT principles autonomy, competence and relatedness into WBL programs to enhance employability skills. Moreover, these programs should be tailored to accommodate the distinct needs of students from various academic backgrounds, such as STEM and social humanities.

This study establishes a novel connection between self-determination theory (SDT) and the development of employability skills through WBL. It provides new insights into the mediating role of WBL in the relationship between SDT components and employability, highlighting the differential impacts across academic disciplines, particularly between STEM and social-humanities students.

This study aims to investigate the role of corporate social responsibility (CSR) in reducing employees’ negative emotions. Based on social information processing, a new conceptual framework was developed and tested in the Indian context.

Cross-sectional design was used in the study. A total of 240 managers of financial institutions were surveyed through a self-administered questionnaire, and the responses were collected using a convenience sampling technique.

The findings indicated that CSR induces compassion and reduces employees’ negative emotions. Contrary to expectations, compassion did not emerge as a mediator in the relationship between CSR and negative emotions.

The findings contribute to the literature by scrutinizing the persuading influence of CSR on employees’ negative emotions directly and indirectly through compassion. Furthermore, this study also tested the moderating effects of positive emotion in the relationship between CSR and negative emotions. The linkage between CSR and negative emotions was established by introducing the social information processing mechanism, adding another novelty to the literature.

Powder bed fusion-laser beam (PBF-LB) is a rapidly growing manufacturing technology for producing Al-Si alloys. This technology can be used to produce high-pressure die-casting (HPDC) prototypes. The purpose of this paper is to understand the similarities and differences in the microstructures and properties of PBF-LB and HPDC alloys.

PBF-LB AlSi10Mg and HPDC AlSi10Mn plates with different thicknesses were manufactured. Iso-thermal heat treatment was conducted on PBF-LB bending plates. A detailed meso-micro-nanostructure analysis was performed. Tensile, bending and microhardness tests were conducted on both alloys.

The PBF-LB skin was highly textured and softer than its core, opposite to what is observed in the HPDC alloy. Increasing sample thickness increased the bulk strength for the PBF-LB alloy, contrasting with the decrease for the HPDC alloy. In addition, the tolerance to fracture initiation during bending deformation is greater for the HPDC material, probably due to its stronger skin region.

This knowledge is crucial to understand how geometry of parts may affect the properties of PBF-LB components. In particular, understanding the role of geometry is important when using PBF-LB as a HPDC prototype.

This is the first comprehensive meso-micro-nanostructure comparison of both PBF-LB and HPDC alloys from the millimetre to nanometre scale reported to date that also considers variations in the skin versus core microstructure and mechanical properties.

This paper aims to present an innovative approach to fabricating an electrically responsive shape memory polymer (SMP).

Polymers that change shape over time when a stimulus is applied are known as SMPs. It uses polylactic acid (PLA) as the base material and carbon nanotubes (CNTs) as conductive additives. Instead of blending CNT with PLA, they were coated on the surface of the samples. The coating consisted of a mixture of CNT/ polycaprolactone. The samples were made using fused deposition modeling, an additive manufacturing method and the shape memory properties of the samples were analyzed under various parameters, including infill angle, coating layers and applied voltage. The voltage generates the Joule heating effect and results in the recovery of SMP to the original shape.

The highest conductivity of samples belongs to three coating layers, whose conductivity is equal to 0.51 S/cm. Under different parameter settings, the highest recorded shape recovery ratio reached 71.47% at voltage 60, infill angle 0 / 90 and two coating layers. This value emphasizes the remarkable ability of the developed material to return to its original shape. Furthermore, the maximum shape recovery speed observed was 0.3593 degree/s, providing valuable information about shape recovery speed under optimal conditions.

This paper presents the surface coating method and the effects of process parameters for activating shape memory using electric current. Compared to previous techniques, this method offers higher speed and requires less material, making it suitable for use in various industries.

The purpose of this study is to investigate the relationships between Meta-commerce consumption value, consumer satisfaction and continuous usage intention in light of the moderating effects of involvement and consumer competency.

A survey for hypothesis testing was conducted targeting 200 domestic consumers in South Korea aged 19 years and above with experience in Meta-commerce. In order to examine the data, we used exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling using SPSS and AMOS.

The paper discovered that Meta-commerce consumption value affects consumer satisfaction and continuous usage intention. Specifically, the extrinsic value and the epistemic value of Meta-commerce have a positively significant effect on satisfaction. Additionally, the hedonic value of Meta-commerce has a positively significant effect on continuous usage intention. It also presented the differences in influence between low-involvement/high-involvement groups and low-competency/high-competency groups and examined consumer perceptions in detail.

The paper discovered that Meta-commerce consumption value affects consumer satisfaction and continuous usage intention. Specifically, the extrinsic value and the epistemic value of Meta-commerce have a positively significant effect on satisfaction. Additionally, the hedonic value of Meta-commerce has a positively significant effect on continuous usage intention. It also presented the differences in influence between low-involvement/high-involvement groups and low-competency/high-competency groups and examined consumer perceptions in detail.

The utilization of virtual agents, particularly chatbots, within healthcare and medical contexts is witnessing exponential growth owing to their capacity to provide comprehensive support to patients throughout their healthcare journey, by reshaping the healthcare business processes. Such transformation in healthcare service delivery processes is enabled by those digital entities able to offer a preliminary screening and consultation platform, facilitating patients’ interactions with real medical professionals. However, when redesigning processes through the integration of new technologies, particular attention to the reactions of end users cannot be neglected. Thus, the purpose of this paper is investigating how both chatbots' features and patients' individual differences may shape a redesigned/renewed service in the healthcare sector.

Through two experimental studies (Study 1 and Study 2), we examined the impact of chatbot tone of voice (formal vs unformal) on patients’ behavioral responses, particularly their intention to use.

Our investigation shed light on chatbots’ characteristics in terms of perceived warmth, denoting the friendliness and empathy conveyed by the chatbot, and competence, reflecting its effectiveness in addressing user queries or tasks, when used to reshape the service delivery process; Moreover, we also shed light on the moderating role of emotional receptivity seeking, indicating that the emotionality and non-verbal communication between doctor and patient, cannot be overlooked even in innovative digital environments.

Managers and marketers could leverage insights from this study to tailor chatbot interactions, optimizing tone of voice to enhance patient engagement and satisfaction. By focusing on perceived warmth and competence, they can design more effective digital health solutions. Additionally, recognizing the role of emotional receptivity can guide strategies for integrating chatbots in a way that maintains a human touch in patient communications.

Findings importantly underscore the relevance of chatbot in improving patient care, making digital interactions more empathetic and responsive. This relevance extends to business process management by demonstrating how integrating emotionally intelligent chatbots may contribute to better service delivery on the basis of personalized and effective healthcare experiences.

The originality of this paper is about the relevance of considering chatbots’ and final users’ characteristics to strategically plan healthcare services process redesign. Indeed, it examines chatbots' perceived warmth and competence in reshaping service delivery processes. Additionally, it highlights the moderating role of emotional receptivity seeking, emphasizing the importance of emotional communication in digital healthcare environments.

Fierce competition in the crowdfunding market has resulted in high failure rates. Owing to their dedication and efforts, many founders have relaunched failed campaigns as a second attempt. Despite the need for a better understanding, the success of campaign relaunches has not been well-researched. To fill this research gap, this study first theorizes how founders’ learning may enhance their competencies and influence investors’ attribution of entrepreneurial failure. The study then empirically documents the extent and conditions under which such learning efforts impact campaign relaunch performance.

This study examines 5,798 Kickstarter-relaunched campaigns. The founders’ learning efforts are empirically captured by key changes in campaign design that deviate from past business practices. Word movers’ distances and perceptual hashing algorithms (pHash) are used separately to measure differences in campaign textual descriptions and pictorial designs.

Differences in textual descriptions and pictorial designs during campaign failure–relaunch are positively associated with campaign relaunch success. The impacts are further amplified when the previous failures are more severe.

This study is one of the first to examine the success of a campaign relaunch after an initial failure. This study contributes to a better understanding of founders’ learning in crowdfunding contexts and provides insights into the strategies founders can adopt to reap performance benefits.