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This study aims to examine the effects of multidimensional factors of platform features, group effects and emotional attitudes on social media users’ privacy disclosure intention.

This study collected the data from 426 respondents through an online questionnaire survey and conducted two approaches of structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) for theoretical hypothesis testing and configuration analysis of the data.

The results show that social media platform features (rewards of information disclosure, personalized service quality and data transparency), group effects (group similarity, group information interaction and network externality), individual emotional attitudes (trust and privacy concern) and control variable (gender) have a significant impact on privacy disclosure intention, as well as trust and privacy concern play mediating roles. Additionally, the fsQCA method reveals five causal configurations that explain high privacy disclosure intentions. Furthermore, the study reveals that male users pay more attention to platform features, while female users are more inclined to group effects.

This study attempts to construct a comprehensive model to examine the factors that affect users' intention to disclose their privacy on social media platforms. Drawing on the cognition-affect-conation model and multidimensional development theory, the model integrates multidimensional factors of platform features, group effects, trust and privacy concern to complement existing theoretical frameworks and privacy disclosure literature. By understanding the complex dynamics behind privacy disclosure, this study helps platform providers and policymakers develop effective strategies to ensure the vitality and momentum of the social media ecosystem.

Adopting the context, input, process and product (CIPP) evaluation assessment model, this study aims to achieve three objectives: (1) to identify the characteristics of educational activities conducted by the International Table Tennis Federation (ITTF) museum; (2) to explore the key factors that promote and optimize the educational objectives of the ITTF museum and (3) to develop a framework that attempts to unpack the complex and dynamic processes of activities conducted by the ITTF museum.

A qualitative research using in-depth interviews was conducted to explore the functions and activities of the ITTF museum.

The path of educational activities carried out is expressed in four aspects: (1) educational background including philosophy and purpose, advantages possessed and the learning needs and readiness of the audience; (2) the resource input includes resource allocation, venue structure, funding channels and the basis of activity program design; (3) the educational activity process includes external cooperation and exchange, the specific content of the activity programs, the teaching strategies and methods during the activities and the response to the challenges of the epidemic and (4) the results of the activities include the number of audience and population distribution, evaluation and feedback of the activities, ways and means of promoting the activities and difficulties and challenges faced.

In the follow-up studies, quantitative research can be conducted by developing a questionnaire based on the current study’s findings. Evaluation scales can be set to continue to enrich and improve the uncovered research content, which is conducive to promoting the objectives of the ITTF museum and giving full play to the educational function, thus enriching the research of sports museums.

The contributions of this study are as follows. First, it enriches the application of the CIPP assessment model in the context of sports museums. It helps the ITTP museum better perform its educational function and provides a reference for future activities of sports museums.

This study proposes a theoretical model to explain user intention to continue engaging with Social Commerce (SC) from a habit perspective. The research uses social impact theory, user personal traits, and SC quality to explain how user habits are formed in SC, leading to continued usage.

The study collected data from 868 Indonesian respondents using a cross-sectional field design. SEM analysis confirmed the proposed theoretical model, calculating direct, indirect, and moderating effects.

The results showed that the social aspect is the dominant construct influencing users’ habit of using SC. Further, the outcome indicates that habit significantly predicts Continuity usage. Profoundly, subjective norms are the most significant predictors of habit, followed by self-efficacy, content quality, and herd behavior. Meanwhile, Trust and Social Support only indirectly affect Habit through self-efficacy and content quality, respectively, as mediators. Additionally, the moderating effect analysis revealed that age and gender play a role in habit formation.

This study specifically explores the factors affecting the development of habits in SC usage, leading to repeated behaviors. This area has not been thoroughly examined in previous research. Therefore, this study seeks to address this gap by investigating how habits are formed through social interactions on SC platforms. Understanding habit formation provides an alternative way of comprehending the continued use of SC, as it is considered a significant factor that leads to continued intention.

Executive turnover has increased in recent years. Most studies of executive turnover focus on CEO turnover and treat each incident of turnover as an isolated event. This research considers both CEO and CFO turnover and investigates whether the frequency of executive turnover has distinct effects on financial reporting quality.

The authors use a sample of firms extracted from Execucomp from the 1992 to 2021 period and examine three important indicators of firm’s accounting information quality: earning persistence; earnings informativeness; and accrual earnings management.

The authors find that higher frequency of executive turnovers in a 5-year period is associated with lower financial reporting quality. Specifically, the authors find that the frequency of executive turnovers is negatively associated with earnings persistence and positively associated with accrual earnings management, especially income-increasing accrual earnings management. Furthermore, the authors find that the frequencies of CEO-only turnover and combined CEO and CFO turnover, but not CFO-only turnover, are negatively associated with earnings informativeness about future cash flows. In addition, the authors find some evidence that promoting executives internally weakens the negative effect of frequent executive turnover on financial reporting quality.

The results suggest that while change is sometimes inevitable, frequent executive changes can create a short-horizon problem and make the realization of adaptation effects of leadership change difficult, and hence hurt company’s performance. The study suggests that organizations, especially corporate board should have robust and effective change management systems and strategies in place, which can help to mitigate the negative effect of frequent executive changes and align firms’ operations with the new leadership’s vision, maintain operational continuity, and employee engagement during periods of transition.

The study contributes to the management turnover literature by examining the impact of executive turnover frequency on firms’ financial reporting quality. While previous studies primarily rely on binary variables to measure management turnover, this study is among the first that focuses on the frequency of executive turnover, thus capturing more nuanced information beyond the scope of a binary variable. This measure allows the authors to focus on the disruptive effect of executive turnover, and hence better disentangles the distinct effects that multiple executive turnovers have on firm performance, which can differ from the effect of individual turnover. This distinction is crucial because the adaptation effect from executive turnover may not have adequate time to materialize within the context of several short executive tenures. The authors provide evidence that the disruptive effect manifests more strongly in firms with a higher rate of executive turnover and such disruption deteriorates firms’ financial reporting quality.

This study aims to explore the potential role of supply chain digital transformation on collaborative knowledge creation, supply chain innovation, and value co-creation in new norms. It also examines the impact of collaborative knowledge creation and supply chain innovation on value co-creation. Furthermore, the study examines the impact of collaborative knowledge creation on supply chain innovation. Finally, it investigates the possible mediating role of knowledge absorptive capacity and relationship quality in shaping these interactions.

To establish the empirical part of this study, the collection of data involved distributing a questionnaire to 247 managers working in manufacturing companies. The measurement model assessment and hypothesis testing were performed employing the PLS-SEM approach.

The findings indicate that supply chain digital transformation significantly impacts collaborative knowledge creation, supply chain innovation, and value co-creation. This study also confirms the significant impact of collaborative knowledge creation on supply chain innovation and value co-creation. Furthermore, it reveals that knowledge absorptive capacity mediates the impact of supply chain digital transformation on collaborative knowledge creation. It also shows that the impact of collaborative knowledge creation on supply chain innovation and value co-creation is mediated by relationship quality among participants.

The findings of this study make significant contributions to academic theory, existing literature, and the scholarly community within the realms of supply chain management, innovation, knowledge management, and value co-creation. It also offers practical implications for managers to strategically navigate the evolving norms of supply chain management. Companies can use these insights to improve their innovation processes and knowledge management, while policymakers can consider the study's findings when developing supportive frameworks for the manufacturing sector.

This study aims to investigate the factors affecting technological innovation intentions at banks listed in Vietnam, a developing country, to develop business activities and accounting benefits according to the trend of the 4th Industrial Revolution.

To collect and analyze the data for this study, qualitative and quantitative methods were used. Specifically, 20 finance and banking experts and 45 managers in the field of information technology were interviewed in qualitative research over a period of three months. Then, 1,000 questionnaires were sent to banks within six months, with the final sample for quantitative research being 324 respondents. Finally, the structural equation modeling (SEM) was used to check the hypotheses. Regarding the tools used, the qualitative study used a semistructured questionnaire to collect information. Meanwhile, SPSS software was used to analyze quantitative research information, including checking common method bias, nonresponse bias, evaluating scale quality and checking SEM.

The findings show that the usefulness, ease of application, credibility, innovation and efficiency of technology have certain impacts on technological innovation intentions at banks listed in Vietnam. Using the SEM analysis, the results showed that the five factors had a favorable influence on the technological innovation intentions. More specifically, this study proposed adding an efficiency factor, and the results showed that it has the greatest impact on technological innovation intentions.

This study would be considered a continuation of prior studies because it provides empirical evidence for business models at banks listed in developing countries (for example, Vietnam) and so provides useful advice for bank management not only in Vietnam but across Asia. In fact, bank managers should consider introducing new technology as appropriate to make their reports more clear and up-to-date, therefore improving their performance. Banking managers, in particular, should focus on enhancing the bank’s application technology indicators to obtain a competitive edge.

This is a pioneering study that uses a combination of the reasoned action theory, planned behavior theory, transaction cost theory and unified theory of acceptance and use of technology to expand knowledge about technological innovation intentions at listed banks in the context of a developing country. The study also discovered and added the efficiency factor as a key factor affecting the intention to innovate technology at listed banks. These contribute to improving the literature of technological innovation intentions.

Artificial intelligence (AI) in mobile apps is growing rapidly, with features such as image recognition, personalized notifications and prescriptive analytics becoming more common. One such app is the Equalizer AI-powered mobile app, which uses AI to process water invoices, advise customers on fair prices and consumption and allow for online payment and data submission. This study aims to develop a technology adoption model for AI-powered mobile apps in the water sector by extending the value-based adoption model (VAM) to include customer trust.

Primary data was collected from 385 smartphone-using water customers. A stratified sampling approach ensured a representative sample of Palestinian water customers in the West Bank region. The study used a validated tool to measure perceived customer value, trust and adoption intention. It also used structural equation modeling to develop a causal diagram using the AMOS software.

The results confirmed a positive relationship between perceived usefulness, perceived innovation and perceived value and a negative relationship between perceived technical difficulty and perceived value. Contrary to VAM theory, the study showed a positive relationship between perceived fees and perceived value, indicating that users view premium fees as a cue of quality, accuracy, innovation and trustworthiness.

The high adoption intention of these apps holds significant implications for both the government and the water sector. This is because it results in the accumulation of substantial data, which can be used by government authorities and water providers to monitor and sustain the sector effectively.

This research extends existing technology adoption models by integrating customer trust and applying them to the water sector in a developing country. It offers new insights into public service innovations, addressing the unique cultural and sectoral challenges in this context.

The purpose of this study is to propose and test a theoretical model investigating factors that influence travelers’ intention to use travel-related information shared by other travelers through a novel category of travel-focused mobile applications, referred to as travel-tracking mobile applications (TTMAs).

Data collected from mobile app users who traveled for leisure purposes were used to test an extended version of the Unified Theory of Acceptance and Use of Technology 2, adding trust and privacy concerns as new constructs to the existing framework.

The current study found empirical and significant evidence that performance expectancy, effort expectancy, hedonic motivation and trust positively; and system privacy negatively influenced travelers’ intention to adopt TTMA to follow other travelers’ experiences.

Limitations and directions for future research are widely explored in the final section of this study.

Practical implications for tourism, travel and hospitality technology companies, TTMA developers and entrepreneurs of travel-related and/or location-based mobile applications are discussed following the empirical findings of this study.

The current study findings add to the body of knowledge in the field of travel technology acceptance, and provide practical implications, especially for entrepreneurs and tourism technology vendors.

本研究提出并测试了一个理论模型, 以探讨影响旅行者使用由其他旅行者提供的旅行相关信息的意图的因素。该信息通过一种名为“旅行追踪移动应用程序（TTMA）” 的新型旅游应用程序提供。

本研究从休闲目的旅行的移动应用用户处收集数据, 测试了扩展版的“统一技术接受与使用模型 2（UTAUT2）”, 并在现有框架中新增了信任和隐私担忧作为构建要素。

本研究发现的显著证据表明, 绩效预期、努力预期、享乐动机和信任对旅行者采用TTMA跟随其他旅行者体验的意图有正向影响; 而系统隐私对其意图有负面影响。

根据本研究的实证发现, 旅游、旅行和酒店技术公司, TTMA开发者, 以及与旅行或基于位置的移动应用相关的企业家可以从中获得实际应用启示。本研究的结果丰富了旅游技术接受领域的知识体系, 并为企业家和旅游技术供应商, 尤其是旅行科技企业家, 提供了实际应用指导。

Social media provides a convenient way to popularise first aid knowledge amongst the general public. So far, little is known about the factors influencing individuals’ adoption of first aid knowledge on social media. Drawing on the information adoption model (IAM), this study investigates the joint effects of cognitive factors (e.g. perceived information usefulness (PIU)), affective factors (e.g. arousal (AR)) and social factors (e.g. descriptive norms (DN)) on first aid knowledge adoption (KA) and examines their antecedent cues from the perspective of information characteristics.

The data were collected from 375 social media users, and the structural equation model was adopted to analyse the results.

The results indicate that PIU, AR and DN all have positive direct effects on first aid KA. Additionally, the study highlights the positive synergistic effect of AR and PIU. Furthermore, the study suggests that AR is determined by message vividness (MV) and emotional tone (ET), whilst DN are determined by peer endorsement (PEE) and expert endorsement (EXE).

Our research is groundbreaking as it delves into the adoption of first aid knowledge through social media, thus pushing the boundaries of existing information adoption literature. Additionally, our study enhances the IAM by incorporating emotional and social elements and provides valuable insights for promoting the spread of first aid knowledge via social media.

Drawing upon the trust transfer theory and IS success model, this study investigates the transfer mechanism and the antecedents of trust to the platform and trust to a food vendor in the FDA, which subsequently affect users’ behavioral intention.

Data collection was carried out through an online questionnaire via the Prolific platform. Respondents were exclusively selected from Uber Eats users in the US market due to the popularity of this food delivery app and the volume of food delivery transactions in this country.

The findings confirmed the trust transfer between trust in the platform and trust in the food vendor, ultimately contributing to users’ continuance usage intention and purchase intention. Our empirical results also show that system quality and service quality lead to trust-in-platform, while product presentation richness, vendor reputation and social referrals enhance trust in food vendors.

The results offer valuable insights for FDA providers and food vendors to offer better user experiences to foster trust, enhance purchase intention and retain their commitment to the platform.

Unlike past research in an e-commerce context that mainly concentrates on the role of trust in general or trust in the platform, this study expands the understanding of trust-related research by exploring the predictors and consequences of both trust toward the platform and trust toward the vendors in the FDA settings.