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Because the food service industry is more dependent on customer contact and human resources than other industries, it is crucial to understand the factors influencing employee job satisfaction to ensure that employees provide satisfactory service to customers. However, few studies have incorporated employee reviews of job portals into their research. Many job seekers tend to trust company reviews posted by employees on job portals based on the information provided by the company itself. Thus, this study utilized company reviews and job satisfaction ratings from employees in the food service industry on a job portal site, Job Planet, to conduct mixed-method research.

For qualitative research, we applied the Latent Dirichlet Allocation (LDA) model to food service industry company reviews to identify 10 job satisfaction factors considered important by employees. For quantitative research, four algorithms were used to predict job satisfaction ratings: regression tree, multilayer perceptron (MLP), random forest and XGBoost. Thus, we generated predictor variables for six cases using the probability values of topics and job satisfaction ratings on a five-point scale through LDA and used them to build prediction algorithms.

The analysis showed that algorithm accuracy performed differently in each of the six cases, and overall, factors such as work-life balance and work environment have a significant impact on predicting job satisfaction ratings.

This study is significant because its methodology and results suggest a new approach based on data analysis in the field of human resources, which can contribute to the operation and planning of corporate human resources management in the future.

The contribution of this study is two-fold. First, we draw on attribution theory to develop a model for predicting how the knowledge, emotions, and satisfaction that consumers have regarding halal cosmetics can influence their willingness to pay more and recommend the products to others.

Survey data from 278 Indonesian and 163 Malaysian female consumers were analyzed by means of structural equation modeling. Second, we test the moderation role of sign value using metric invariance across the two different source markets.

The results obtained confirm that consumers exhibit positive emotions when they possess knowledge about halal cosmetics and their quality. Testing the double moderation further reveals that consumers with a high sign value behave differently from those with a low sign value.

These findings present practical insights that can be used by retailers and marketers in their strategies to boost the sale of halal cosmetics.

Considering the limited understanding of determinants influencing the adoption of smart mobile tourism app (SMTA) featuring augmented reality (AR) and big data analytics (BDA), privacy concern (PC) and the risk of privacy information disclosure (PI) have threatened SMTA adoption. This study aims to propose an expanded consumer acceptance and use of information technology (UTAUT2) model by including new contextual components, integrated with privacy calculus theory (PCT) model to examine the determinants influencing behavioural intention (BI) to use SMTA.

Personal innovativeness (IN) and privacy information disclosure (PI) are incorporated in UTAUT2 model to determine its effect on SMTA featuring AR and BDA technologies from smart perspective. Both privacy concern (PC) and privacy risk (PR) derived from PCT model are also included to determine its influences on an individual's willingness to disclose privacy information for better-personalised services. We collected responses from 392 targeted participants, resulting in a strong response rate of 84.66%. These responses were analysed statistically using structural equation modeling in both SPSS 22.0 and SmartPLS 3.0.

Findings showed that personal innovativeness (IN), habit (HT) and performance expectancy (PE) significantly affect behavioural intention (BI) while privacy concern (PC) significantly affect privacy information disclosure (PI) to use SMTA. In contrast, effort expectancy (EE), hedonic motivation (HM) and privacy information disclosure (PI) had no significant effects on behavioural intention (BI) while privacy risk (PR) had no significant effects on privacy information disclosure (PI) to use SMTA.

The study findings help tourism practitioners in better comprehending recent trends of SMTA adoption for establishing targeted marketing strategies on apps to improve service quality. In addition, it enables app development companies acquire app users’ preferences to enhance their app development for leading app usage.

The prevalence of independent contractors in the US workforce is growing. This research examines the social environment and career outcomes of labor and employment arbitrators, a unique profession of high-skilled and high-status independent contractors who play a significant role in facilitating organizational justice. Previous research has focused on the employment relationships that independent contractors have with hiring organizations and the characteristics of individuals who become independent contractors; however, little attention has been given to how relational factors influence the career outcomes of high-skilled independent contractors or how such influences differ by gender. Building upon theories of social networks and unequal network returns (UNR), our study investigates the informal social relationships among arbitrators, the association between interpersonal relationship patterns and arbitrators’ career success, and how these associations vary based on gender.

A social network survey is used to collect the social networks, attitudes and fee information of 407 labor and employment arbitrators working in North America. A multi-level regression analysis was used to examine the proposed relationships among social networks, gender and career outcomes of the arbitrators.

We discovered that occupying a central position within advice networks is positively associated with occupational satisfaction. On the other hand, having strong ties is associated with achieving high employment arbitration fees. Notably, we found that the advantages of strong ties for arbitration fees are comparatively weak for female arbitrators relative to their male counterparts.

This research examines the relationship between social networks and career outcomes for independent contractors in the unique context of arbitrators. It further highlights inequalities experienced by female arbitrators in a male-dominated profession where their social networks offer fewer rewards relative to their male counterparts.

This study aims to identify the key characteristics of tourism live streamers (TLSers) that influence target consumers and examine how these characteristics enhance destination brand value by stimulating consumer emotional engagement and value co-creation behaviors.

A questionnaire survey was conducted with 552 respondents who had viewed tourism live streaming in China. The data were analyzed using structural equation modeling.

The results revealed that TLSers’ expertise had the strongest influence on consumers and positively affected their attachment, trust, participation and citizenship behaviors and perceived destination brand value. Attractiveness and trustworthiness exerted positive but weaker effects on these variables.

This study contributes to the theoretical development of live-streaming research by demonstrating the distinct impacts of TLSer characteristics. Furthermore, this study expands the application of the social exchange theory and value co-creation in tourism research.

本研究旨在确定影响目标消费者的旅游直播主（TLSers）的关键特征, 并检验这些特征如何通过激发消费者情感参与和价值共创行为来增强目的地品牌价值。

对在中国观看过旅游直播的552名受访者进行了问卷调查, 采用结构方程建模分析数据。

研究结果显示, TLSers的专业知识对消费者影响最大, 并积极影响他们的情感依恋、信任、参与和公民行为, 以及感知的目的地品牌价值。吸引力和可信度对这些变量的影响较弱但也是积极的。

本研究通过展示TLSer特征的独特影响, 对直播研究的理论发展做出了贡献。此外, 本研究扩展了社会交换理论和价值共创在旅游研究中的应用。

The purpose of this paper is to investigate the effect of reward redemption programs on donation amount, donation percentage and donation intention in the context of a bank credit card.

A 2 × 2 × 3 experiment is implemented with 1,070 consumers accessing a national US-based sample with a small compensation. The authors use general linear model to test the proposed hypotheses.

The findings show the main effects of reward types, limited-time message and value of reward redemptions on the percentage of donations and overall donation intention to charity. The type of reward (cash/points) is found to interact with the limited-time message and with the value of reward redemptions.

No prior studies have addressed the relationship between credit card redemption rewards and scarcity messages in the donation context. The study contributes to the understanding of the effectiveness of credit card redemption rewards with scarcity message in improving a consumer’s donation intention.

Extant research documents the cost benefits of group purchasing organizations (GPOs) to member hospitals, but understudies concerns about the market dominance of a few large GPOs and the relatively weakened buyer power of hospitals in the US healthcare product supply chain. To fill the gap in the literature, this study investigates whether GPO size and a hospital’s relative power to its GPO affect the hospital’s supply expenses, and whether and how system membership moderates the power–performance link.

For this study, we collect the panel data from various secondary sources on GPO–hospital dyads, which include the seven largest GPOs and their 2,590 unique acute care hospital members in 51 states over the period of 2009–2017. To address the endogeneity issue associated with simultaneity, we establish a one-year time lag between dependent and independent variables and analyzed the 15,527 hospital-year observations using the time-series regression with fixed-effect.

We find that a hospital’s relative power to its GPO is the most critical factor to reduce its supply cost while GPO size has no effects. We also find that a nonsystem hospital achieves greater cost savings by leveraging its relative power to its GPO while a system hospital gains no benefits.

To the best of our knowledge, this study is the first to address the paradox of GPO size and a hospital’s relative power and the moderating role of system membership for the hospital’s purchasing efficiency using a large nation-wide dataset of US hospitals–GPO dyads.

This research delves into the dynamic realm of app design by examining the impact of app icon familiarity and authority on image fit, influencing users' app usage intention. Focusing on the distinctive circumstances of Chinese and Korean customers, the study aims to provide insightful information about how application user behavior changes.

Utilizing structural equation modeling, the study employs data from 293 Korean and Chinese consumers. The research design incorporates a thoughtful approach, including parallel translation methods, focus group interviews, and pre-experimental testing to ensure survey accuracy and validity. The study strategically selects stimuli from the Apple App Store rankings, emphasizing icon features and type considerations.

The results provide important new information about the connections between usage intention, image fit, authority, and familiarity with app icons. Notably, app icon familiarity and authority positively influence image fit. Furthermore, app icon image fit emerges as a positive predictor of usage intention, mediating the complex interplay between familiarity, authority, and intention. The study also identifies moderating effects, shedding light on the nuanced role of app icon features and types.

Originating from a comprehensive exploration of icons, this study significantly contributes to the field by exploring icon differences and uncovering the intricate mechanisms guiding users' decisions. The findings offer valuable insights for app designers, marketers, and researchers seeking a deeper understanding of user behavior in diverse cultural contexts, thereby enhancing the theoretical and practical foundations in app usability and consumer behavior.

This paper synthesises international research on effective mentor training, education and development (MTED).

An adaptive theory methodology (Layder, 1998), combining deductive and inductive methods, was deployed in a qualitative meta-synthesis of thematic findings generated in three studies: a systematic review of literature published between January 2010 and July 2020, together with a secondary analysis of studies including evidence on MTED; a subsequent systematic review of literature published between August 2020 and May 2023 and a general inductive analysis (Thomas, 2006) of interviews of leaders of large-scale MTED programmes that had good evidence of impact.

Our meta-synthesis found that effective MTED is evidence-based, refined through ongoing research, tailored both to individual needs and context and includes sustained support. Effective pedagogical approaches in MTED are underpinned by adult learning principles and establish a learning climate that fosters open and trusting relationships. Effective MTED is shaped by the espoused mentoring model or approach, with particular emphasis on understanding, building and sustaining mentoring relationships and incorporating observing, practising, critically reflecting on and receiving feedback on mentoring.

The study will be helpful to practitioners designing, reviewing and evaluating MTED programmes, researchers seeking to enhance the sparse MTED evidence base and programme commissioners.

The original and significant contribution of this study is the identification of key principles relating to the overall design of – as well as specific content, pedagogical approaches and supporting resources within – MTED programmes that have evidenced positive effects on mentors, mentees, mentoring and/or organisations.

The study aims to review how the use of technology enhances the authentic tourist experience. Technology and digitalization have enhanced tourist experiences. However, critiques comment on its ability to over-commercialize activity and lack of authenticity. Thus, there is a need to synthesize knowledge of technology usage to increase authentic tourist experience.

The study carries out a bibliometric review of the studies focusing on the use of technology in enhancing tourist experiences. Two hundred journal articles, published between 1997 and 2023 were retrieved from the Web of Science (WoS) database to carry out descriptive and network analysis using the Gephi, VOSviewer and Science of Science (Sci2) software. The components of authentic tourism experience are identified from the literature through a content analysis.

The findings of the study are broadly classified into two: first, the most frequently used keywords in the study include tourist experience and satisfaction, co-creation, virtual reality, smart tourism, technology, authenticity and heritage tourism. Second, the five major themes studied in the topic include virtual reality and tourist experience; media, tourist experience and encounters; technology, smart tourism and tourist experience; digital transformation, social media and tourist experience; and virtual reality and tourist experience which are still relevant in the literature because of the presence of study gaps.

The findings are used to develop a conceptual framework for the role of technology in enhancing authenticity in tourism typologies where authenticity is critical.