As an emerging e-commerce model, live-streaming commerce has attracted widespread attention from merchants. Since many merchants do not have their own anchors, they need to hire professional anchors, who are called commissioned live-streaming commerce. Merchants can choose either agent anchors or celebrity anchors, that is, a choice between two different live-streaming channels. Choosing celebrity anchors with large fan bases can crank up higher sales for merchants, but comes with higher commission expenses and potential competition from the anchors’ own brand products. Conversely, choosing agent anchors whose popularity is far less than that of celebrity anchors may still bring high profits, as these agents charge lower commissions. Inspired by this interesting phenomenon, the present study examines the challenges faced by merchants in live-streaming channel selection using commissioned live-streaming commerce. The study employs a Cournot model to investigate the issues at hand and analyze the impact of different factors on merchants' channel selection based on simulation. The results show that when the effort cost of a merchant choosing anchors is high and the merchant's brand image advantage is significant, the merchant is more inclined to choose agent anchors; otherwise, the inclination is to choose celebrity anchors. The findings provide support for the decision-making process of different parties involved in live-streaming commerce and thus, promote the sustainable development of the live-streaming commerce industry.

Influencer marketing has been expanding at a great pace. This development has prompted increasing academic interest, as many research scholars are now drawn to the study of the formation and impact of parasocial relationships (PSRs) with social media influencers (SMIs). There has been a surge of studies in this area in recent years, giving rise to the need for a systematic review that can consolidate current knowledge and direct future research. The aim of this study is to review and synthesize the theories and dimensions that have been most frequently applied in PSR–SMI research. By applying the PRISMA framework, the study was able to identify 37 documents indexed in Scopus and these research articles were then analyzed on various dimensions. The findings showed that there has been a steady increase in publications on PSRs with SMIs since 2018, with the United States producing the largest share, and more recent contributions have also been emerging from Asia and Europe. Furthermore, 15 theories and 35 variables were identified, based on which a conceptual model has been proposed. This study contributes to the growing literature on influencer marketing by providing a structured reference for future researchers to test PSR-related variables. Moreover, marketing professionals can use the identified variables to refine their process of influencer selection, and prioritize attributes that strengthen PSRs.

Research to date, has found that organisational justice enhances different kinds of work outcomes in an organisation. However, while most studies have investigated the effect of organisational justice on employees’ outcomes via several mediational pathways, a lack of studies is evident on how organisational justice influences employee health via two different kinds of job stressors, namely challenge and hindrance stressors. Drawing from the notion that working conditions are created by upper-level management, the current study tested the influence of organisational justice via challenge and hindrance stressors. Using a cross-sectional multilevel design, 129 individuals from 25 manufacturing companies from Peninsular Malaysia were involved in the study. Results from a Hierarchical linear modelling (HLM) analysis indicated that all three, the procedural, distributive and interactional sub-dimensions of organisational justice had a positive relationship with challenge stressors but were not related to hindrance stressors. Interestingly, while hindrance stressors are commonly known to have detrimental effects on employee health, the study’s results indicated that these relationships were positive. The study provides evidence that good management practices, mainly via organisational justice, not only boost employees’ interpretation of job stressors as positive, but also improves their health.

The increasing mortality rate of family companies worldwide makes the investigation of the problems of succession one of the priorities that has fascinated the community of researchers recently. This study contributes to the analysis of the succession issue from the successor's point of view, through the investigation of the potential successor selection process and choice of determinants. This study's originality is in its attempt to scrutinize the phenomenon in question through the entrepreneurial and sociocultural lens. Also, this study aims to present some managerial implications that can support the founders of Moroccan family-owned SMEs (Small and Medium sized Enterprises) in setting up a succession process which will enable them to select their potential successors in an effective way. A qualitative approach using semi-structured interviews was conducted with six managers of five Moroccan family-owned SMEs. The research will contribute towards the scholarly debate about the succession issue, which is considered a significant field that deserves a deeper analysis, especially in the context of Moroccan family-owned SMEs. The results of this study also revealed that there is a heterogeneity of issues in the selection of potential successors from one family business to another and from one business family to another. Indeed, the trust between the predecessor and the potential successor, as well as between the latter and the other stakeholders, the business families’ subjective norms (i.e., nepotism, primogeniture, patriarchy), the successor’s involvement, the willingness, the motivation, the level of education, the knowledge and the accumulated experiences, are the main determining factors considered when selecting the potential successor of family SMEs.

Within the context of tourism-related activities, numerous factors may influence a traveller’s choice of destinations. Therefore, it is crucial to understand which factors will mostly influence destination selection. It is common knowledge that in a destination selection process, people are likely to visit sites they believe are worthwhile. The Analytical Hierarchy Process (AHP) was used in the study, and the data were collected from twelve experts, including six academicians of tourism and destination marketing, and six tour guides with more than ten years of experience in the sector. The research aims to determine the priority order of consumption values in determining the preferences of tourists for the destinations they have selected. The results show that "epistemic value" was the most important factor in determining a tourist’s choice of destination. Moreover, it was found that the following dimensions, namely functional value, i.e., "worth the money", emotional value, i.e., "feel secure", social value, i.e., "meet friendly and hospitable people", epistemic value, i.e., "providing novelty experiences", and conditional value, i.e., "personal safety" have also been given priority. By identifying the priorities of a tourist in the destination selection process, it is envisaged that tourism businesses operating in tourist destinations will be able to provide better value-added activities, such as in food and beverage, lodging, entertainment, and travel agencies. In providing theoretical and empirical information for those involved in the sector, a more efficient process is thus ensured. With the help of this knowledge of what is expected of tourists as consumers, it will be easier to develop comprehensive strategies and solutions.

Effective asset management is crucial for organizations that provide high-quality services. However, the management of immovable assets often faces challenges due to time-consuming, tedious, and error-prone paper-based practices. To address these issues, the Malaysian government has introduced MySPATA (Sistem Pengurusan Aset Tak Alih Kerajaan), an electronic-based solution aimed at improving asset management. Despite its implementation, MySPATA has not fully resolved the complications associated with locating and managing assets. This study proposes integrating three-dimensional Geographic Information Systems (3D GIS) into the asset management system to enhance productivity and accuracy. This research focuses on Taman Kobena Hall, which is managed by Majlis Bandaraya Johor Bahru (MBJB), utilizing detailed LiDAR scanning and aerial photogrammetry to create an accurate 3D model of the building. The integration of 3D GIS into the asset management system using ArcGIS software enables efficient asset registration, detailed visualization, and comprehensive data querying. The findings demonstrate that 3D visualization significantly improves asset location tracking and reduces reliance on paper-based processes, thus promoting continuous asset updates. The study also addresses the strengths and limitations of this approach. While the initial creation and maintenance of detailed 3D models require significant time and resources, the benefits of improved accuracy, better decision-making, and enhanced visualization are substantial. This research provides robust proof of the concept of integrating 3D GIS in immovable asset management and offers valuable insights for broader applications in various industries.

This study explored the role of supervisor and colleague autonomy support in relation to psychological, social, and emotional well-being, using the components of work engagement—vigor, devotion, and absorption—as mediators. Grounded in the Job-Demands Resources (JD-R) Model, the research highlights the importance of job resources, such as peer-support, in managing job demands and enhancing employee well-being, particularly within the context of education during the pandemic. A total of 315 participants, including teachers, staff members, and administrators, completed scales assessing work self-efficacy, job engagement, and mental health. The study utilized a cross-sectional and predictive research design, conducting the survey at a single point in time to determine the direct relationships and mediating roles of autonomy support and work engagement in relation to well-being. Data was analyzed using mediation analysis and confirmatory factor analysis, with model fit indices indicating an excellent fit. The findings revealed that supervisor and colleague autonomy support significantly predicted well-being, with work engagement fully mediating these relationships. Consequently, the direct effects of autonomy support on well-being became non-significant when work engagement was accounted for, indicating full mediation. Based on these results, it is recommended that educational institutions promote a supportive social environment, provide growth opportunities, and respect employee autonomy. This study contributes to the literature by elucidating pathways through which supervisor and peer autonomy support influence psychological, emotional, and social well-being through work vigor, dedication, and commitment.

Smart cities have experienced significant improvements in service quality, resident satisfaction, sustainability, and economic development through the application of information and communication technology. With urban populations expected to grow, the adoption of smart city mobile applications (SCMA) can enhance the efficiency and impact of urban regions. This research explores the cognitive factors influencing user engagement and adoption of SCMA, by integrating identified factors with technological adaptation models. The decision of individual users to embrace such as SCMA has garnered attention from both information systems (IS) researchers and industry practitioners. Key factors affecting SCMA user acceptance include perceived enjoyment, innovation, trust, social influence, security, compliance, satisfaction, perceived benefit, ease of use, and intention to use. Data was analyzed using a structural equation model (SEM), with participants responding to questionnaire items on a five-point Likert scale. Out of an initial 1,142 responses, 1,062 valid samples were included in the final analysis after data filtering, achieving a response rate of 67 percent. Enhanced user satisfaction is crucial for the success of SCMA providers. The industry must allocate additional resources toward developing robust and reliable infrastructures and platforms that enhance mobility and service quality. To drive the future of Web 3.0, the industry must also address long-term challenges, such as creating new universal systems and environments. The conclusion of this study is discussed with respect to both theoretical and practical implications.

The price-perceived quality heuristic refers to an individual's predisposition to interpret price as an indicator of product quality and has been shown to be influenced by various personal factors. However, certain variables affecting this tendency has yet to be explored. This study aims to investigate whether two personal factors, namely personal growth and holistic thinking, impact this heuristic. Moreover, the study also examines the mediating roles of prestige sensitivity and risk aversion in these relationships. Data were collected using convenience sampling from 755 participants with diverse occupations across various cities and districts in Türkiye. Using structural equation modelling analyses with SPSS and AMOS software, the analyses revealed that personal growth positively influences the price-perceived quality heuristic, while holistic thinking has a negative effect. Additionally, the results confirmed the significant mediating roles of prestige sensitivity and risk aversion. These findings provide valuable insights for researchers and practitioners seeking to better understand the dynamics that shape the relationship between price and quality perception.

Quality Function Deployment (QFD) is a powerful approach for establishing a strong relationship between a product or service and customer needs. It focuses on capturing the voice of the customer to enhance their satisfaction. In today’s competitive landscape, organizations must meet customer needs to thrive. This research focuses on utility-imparting organizations and aims to enhance customer satisfaction and service efficiency through the development of a correlation matrix. The study proposes an inductive framework and evaluates it using typical QFD techniques. Specifically, the research utilizes the House of Quality (HOQ) to improve organizational efficiency and customer satisfaction. The HOQ identifies key quality indicators by analyzing the relationship between customer needs (WHATs), and technical solutions (HOWs), as well as between different HOWs. The results of the HOQ analysis highlight the most crucial factors for improving service efficiency: effective customer service, a competitive and focused organization, accurate billing meters and methods, precise meter readings and billing, and prioritization of emergency response. The findings provide valuable guidelines for improving the efficiency of utility energy services.