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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 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.

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 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.

This study aims to examine the influence of digital financial literacy (DFL) on the financial well-being (FWB) of students in Andhra Pradesh, specifically exploring the factors of impulsivity and self-control. Both DFL and FWB are treated as multi-dimensional constructs in the study. The research delves into the impact of DFL dimensions, viz. digital financial knowledge, digital financial experience and digital financial skills, on both impulsivity and self-control. Subsequently, the study assesses the effects of impulsivity and self-control on financial well-being.

To gather data, a questionnaire-based survey method was employed, reaching 475 university students through purposive sampling. The study utilizes confirmatory factor analysis for scale validation and structural equation modeling for hypothesis testing.

The results reveal a significantly negative influence of digital financial knowledge (DFK), digital financial experience (DFE) and digital financial skills (DFS) on impulsivity, while demonstrating a significantly positive impact on self-control. Additionally, the study finds that impulsivity negatively affects financial well-being, whereas self-control has a positive impact. Focusing on higher education institutions in Andhra Pradesh, the research highlights students’ limited concern for long-term financial planning.

This study underscores the relevance of understanding the crucial role of digital financial literacy in enhancing their financial well-being. The implications of these research findings are substantial and can be utilized to shape educational programs for students in higher education institutions. Such programs can guide institutions in imparting knowledge and skills related to personal finance management, particularly in the context of the increasing digitalization of financial transactions.

The purpose of this study was to examine the factors that influence the information seeking behaviors of ChatGPT users. Specifically, we investigated how ChatGPT self-efficacy, ChatGPT characteristics and ChatGPT utility affect the frequency and duration of information seeking via ChatGPT. We also tested the mediating roles of ChatGPT characteristics and utility in the relationship between ChatGPT self-efficacy and information-seeking behaviors.

This study adopts a quantitative approach and collects data from 403 ChatGPT users using an online questionnaire. The data are analyzed using linear regression and structural equation modeling (SEM).

The linear regression analyses revealed that ChatGPT self-efficacy is positively and significantly related to the information seeking behaviors in ChatGPT. Second, mediation analyses also showed that ChatGPT characteristics and utility significantly mediate the relationship between ChatGPT self-efficacy and information-seeking behaviors in ChatGPT independently and sequentially.

This study is the first to investigate the factors and mechanisms that influence information-seeking behaviors in ChatGPT, a new phenomenon in the media landscape. The findings in this study suggest that ChatGPT self-efficacy acts as an important motivator for information-seeking behaviors in ChatGPT and that ChatGPT characteristics and utility provide information regarding potential mechanisms in the relationship between ChatGPT self-efficacy and information-seeking behaviors in ChatGPT. The study contributes to the literature on information seeking, self-efficacy and generative AI.

The purpose of this study is to empirically examine the relationships between barrier-breakers and customers’ intention to fully adopt digital payment methods (DPMs).

Survey data were analyzed using statistical methods focusing on hypothesis testing with an ordinal regression model and moderation analysis using the PROCESS macro extension. Participants were divided into two groups of customers in Sweden: adopters-accepters, i.e. young bank customers and adopters-resisters, i.e. members of a formally organized group opposed to a cashless society.

The findings revealed that only the credibility barrier-breaker could increase the adopters-accepters’ intention to fully adopt DPMs. Credibility also seemed to be an important barrier-breaker for the adopters-resisters, as were perceived usefulness and social influence. Additional analyses showed that the impersonalization barrier reduces the impact of the barrier-breakers on DPM adoption.

Retail banks and merchants can use these results as a guide to what barrier-breakers might affect various customers’ intention to fully adopt DPMs, and to act accordingly. The impersonalization barrier also merits attention when creating an emotional connection to customers who use DPMs.

This study provides empirically based knowledge of the influence of barrier-breakers on the intention of customers, categorized as adopters-accepters and adopters-resisters, to fully adopt DPMs, and highlights the importance of maintaining a human touch in the post-COVID-19 digital era.

Intellectual experiences focus on users’ information processing and critical thinking toward stimuli. The deployment of humanoid service robots as novel stimuli in tourism and hospitality has influenced users’ perceptions and may affect their intellectual engagement. This paper aims to connect four contemporary theoretical concepts: the service robot acceptance model, technological fear, the uncanny valley theory and the stereotype content model, to investigate users’ perceptions and intellectual experiences toward humanoid service robots.

Scale development procedures were conducted: literature review, checking face and content validity, factorizing items and dimensions, achieving construct and criterion validity and testing predictive validity.

Through literature review and free-response tasks, 43 measurement items were generated. Next, 1,006 samples from two cross-cultural groups refined the scale. Finally, a reliable and valid scale with four dimensions measuring users’ perceptions of humanoid service robots was determined.

Humanoid service robots should be designed to enhance functionality and innovativeness while minimizing stiffness, inflexibility, unsafety and danger to improve users’ intellectual engagement.

This study provides a novel examination of users’ intellectual experiences toward humanoid service robots by connecting four contemporary theories of users’ perceptions. This study enriches human–robot experience through an integrated perspective and presents a rigorous examination of the scale’s psychometric properties. A reliable and valid scale for measuring users’ perceptions toward humanoid service robots fills the gaps and serves as an effective predictor of intellectual experience in human–robot literature.