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This study seeks to establish a new framework for categorizing incivility, differentiating between explicit and implicit forms, and to investigate their respective abilities to proliferate and mobilize conversations, along with behavioral outcomes in various social contexts.

Employing computational techniques, this research analyzed 10,145 protest-related threads from the HK Golden Forum, a prominent online discussion board in Hong Kong.

Our analysis revealed divergent effects of explicit and implicit incivility on their diffusion, influences on deliberative discussions, and user participation. Explicit incivility was found to impede deliberative conversations, while implicit incivility tended to provoke more responses. Explicit uncivil expressions encouraged the propagation of incivility but reduced the likelihood of individual involvement. In contrast, implicit incivility had a stronger dampening effect on further uncivil comments and achieved greater thread popularity. The results showed strong associations between uncivil expressions and the contextual norms surrounding social movements.

Theoretically, this research introduced a classification of incivility and underscored the importance of differentiating between implicit and explicit incivility by examining their effects on deliberation and engagement. Although previous studies have extensively covered explicit incivility, this study goes further by analyzing implicit incivility and comparing both forms of uncivil discourse in a less-studied context. Methodologically, the study developed a Cantonese dictionary to differentiate between two types of incivility, providing a practical reference for more nuanced analyses. By revealing how varying movement norms moderate the interplay between deliberative and uncivil expressions, the study drew attention to the highly situational nature of incivility.

This exploratory study aims to integrate both quantitative and qualitative methods to examine the influence of contemporary university dining attributes and practices on student patronage.

First, a review of the extant literature on-campus dining in universities was conducted. Second, innovative practices of on-campus dining facilities of a large public university were identified. Finally, student perceptions of those practices were examined using a mixed method approach.

The review of literature uncovered 49 articles across 35 years on key topics such as food waste, healthy eating, and service evaluation. From site tours and interviews with related personnel, 40 innovative on-campus dining practices were identified.

Importance ratings revealed cleanliness of the environment, fresh fruit and vegetables, and digitally enabled ordering, as the top three highest rated practices. Factor analysis unveiled six factors that students find important: food diversity, good standards, innovativeness, quick options, menu variety, and fish and seafood. The thematic analysis further revealed four overarching themes (convenience, familiarity, food offerings, and value) and 13 subthemes which complemented the quantitative results.

In addition to shedding post-pandemic light on students’ dining needs, it highlights the paucity of theory used to support extant studies and suggests a novel theoretical underpinning.

Self-initiated expatriates (SIEs) literature is characterized by a narrow definition of SIEs and a lack of distinction between SIEs and other groups of international workers. This situation leads to a lack of a clear definition of SIEs. To improve understanding of SIEs, a systematic literature review (SLR) was carried out to identify criteria that are used in SIE literature to define SIEs.

SIEs literature is characterized by a narrow definition of SIEs and a lack of distinction between SIEs and other travelers. This situation leads to a lack of a clear definition of SIEs. To improve understanding of SIEs, a SLR was carried out to identify criteria that are used in SIE literature to define SIEs.

This SLR identified 13 criteria that can be used to define SIEs, but further analysis showed initiative, push factors, possession of skills, motivation, employment terms, period of stay, mobility and legal employment status are the important criteria that can be used to define SIEs and differentiate them from other groups of international workers.

The findings of this SLR need to be interpreted in consideration of limitations. Some studies did not report home or host, while other studies grouped countries into regions. In other studies that used mixed samples of SIEs and other types of expatriates, the home or host countries of SIEs could not be distinguished. Although this SLR and previous works have attempted to clarify the concept of SIEs, there is a need for SLRs to clarify other groups of internationally mobile workers. There have been efforts aimed at bridging this gap, but there is a need for the use of SLR methodology and updating previous efforts.

This SLR has exhaustively reviewed existing literature on SIEs to identify essential criteria that can be used to differentiate and define SIEs. The review has demonstrated that existing criteria used to differentiate international mobile workers either exclude important criteria or include criteria that are not important. These limitations are overcome by developing criteria that differentiate various groups. These criteria are then used to develop a definition of SIEs, which the author believes adequately differentiates them from other groups of international workers.

Theory is an essential prerequisite in the development and maturation of any scholarly discipline. This study offers insight into theory development in reverse logistics (RL) studies, provides a synopsis of the theories employed in RL studies, and presents a comprehensive framework for choosing and applying theories in RL studies.

Using the systematic literature review approach, 265 various RL articles were analysed to discover the trend in using theories in RL studies and classify the individual theories employed. The analysis of the theoretical classification is presented to explain the type and frequency of the usage of theories.

The analysis discovered 52 specific theories from the sample. These theories were categorised under various categories: competitive, inventory, economic, decision, etc. The institutional, stakeholder, transaction cost economies, resource-based view, natural resource-based view, dynamic capability, agency and theory of planned behaviour were some of the key theories discovered. Finally, a comprehensive framework is provided to aid researchers in choosing and utilising theories.

This study gives authors, reviewers and editors perspectives on utilising theories in RL studies. It will give them the impetus to develop theories in RL and limit the borrowing or extension of theories from other disciplines to RL studies.

To the best of the researcher's knowledge, this is the first attempt to comprehensively provide an anatomical perspective into theory usage in RL studies. Besides, this study's proposed framework for selecting and using theories is a novelty in the domain of RL.

This study aims to analyze the effects of microentrepreneurs’ knowledge transfer (KT) on personal improvement (PI) and business improvement (BI).

The study was developed in two stages: a literature review based on KT and the learning process in microenterprises to have managerial competence and PI and BI to acquire the managerial competence that entrepreneurs need. The second stage was constructing a structural model based on 107 questionnaires and bootstrapping of 5,000 replications of microentrepreneurs who went through a training program (quantitative) and a focus group (qualitative). This study had a mixed approach, exploratory scope and experimental design.

The research showed real evidence about the performance level of microentrepreneurs when they passed through the process of KT and its impact on PI and BI. This research considers their managerial competencies, and the findings show a relationship between the theory of individual and organizational learning.

This study considered Peruvian microentrepreneurs who participated in a virtual training program that included several courses related to their current environments and topics of interest. The analyzed period covered the years affected by COVID-19.

The model reveals that KT is relevant to PI and BI. Performance was measured regarding growth, income, innovation, productivity and responsibility before and after the program.

This research analyzed the need for training microentrepreneurs for personal and private reasons under a COVID-19 scenario to foster their businesses and assume financial responsibilities. This study considered Peru’s reality, a country in which 94.9% of companies are microenterprises. The study revealed that microentrepreneurs improved their personal and professional lives and addressed relevant social problems that affect their environments because of the KT effects.

This study bridges the gap in the literature on how the theory of KT can be applied to entrepreneurs. This study revealed significant findings in terms of PI and BIs. The impact of KT indicates the relevance of managerial competencies related to the performance level obtained in terms of growth, income, innovation, productivity and responsibility.

Artificial intelligence (AI) usage improves e-commerce logistics efficiency. However, many actors can play significant roles, such as supply chain consistency (SCC), last-mile logistics (LML) performance and collaboration and coordination among logistics firms. This study aims to assess how SCC and LML performance mediate and collaboration and coordination moderate the relationship between AI usage and logistics efficiency.

A structured questionnaire was used to collect the data. A total of 245 valid responses were received from Indian e-commerce businesses. The data were then analysed using AMOS v25 and structural equational modelling using SPSS for regression, PROCESS macro for mediation and moderated mediation analysis.

The findings show that AI usage independently impacts logistics efficiency, with SCC and last-mile delivery performance as mediating variables. Collaboration and coordination among logistic firms are also critical moderators in enhancing AI’s efficacy in logistic operations. The study findings suggest the integration of AI into logistic operations and provide implications to managers on the urgency of fostering a collaborative and synchronised environment to utilise the full potential of AI in e-commerce businesses.

This study not only contributes to the field of logistics theory by presenting empirical data on the various ramifications of AI but also offers practical guidance for logistics firms, particularly those operating in developing economies, on how to strategically employ AI to enhance operational efficiency and attain a competitive advantage in the era of e-commerce logistics in the digital age.

The integration of big data with artificial intelligence in the field of digital health has brought a new dimension to healthcare service delivery. AI technologies that provide value by using big data obtained in the provision of health services are being added to each passing day. There are also some problems related to the use of AI technologies in health service delivery. In this respect, it is aimed to understand the use of digital health, AI and big data technologies in healthcare services and to analyze the developments and trends in the sector.

In this research, 191 studies published between 2016 and 2023 on digital health, AI and its sub-branches and big data were analyzed using VOSviewer and Rstudio Bibliometrix programs for bibliometric analysis. We summarized the type, year, countries, journals and categories of publications; matched the most cited publications and authors; explored scientific collaborative relationships between authors and determined the evolution of research over the years through keyword analysis and factor analysis of publications. The content of the publications is briefly summarized.

The data obtained showed that significant progress has been made in studies on the use of AI technologies and big data in the field of health, but research in the field is still ongoing and has not yet reached saturation.

Although the bibliometric analysis study conducted has comprehensively covered the literature, a single database has been utilized and limited to some keywords in order to reach the most appropriate publications on the subject.

The analysis has addressed important issues regarding the use of developing digital technologies in health services and is thought to form a basis for future researchers.

In today’s world, where significant developments are taking place in the field of health, it is necessary to closely follow the development of digital technologies in the health sector and analyze the current situation in order to guide both stakeholders and those who will work in this field.

The failure rate of international construction joint venture (ICJV) projects has been noted to be high in developing countries due to the complexity and risky nature of construction projects in the international market. The purpose of this study is to identify and evaluate the risks facing ICJV projects in Ghana.

A risk register was developed through a comprehensive literature review. The identified risks were then used in a questionnaire survey involving local and foreign partners in ICJV projects in Ghana.

From a total of 74 risks identified, categorized into country-level risks, market-level risks and project-level risks, the “top ten” risks found to be the most critical risks facing ICJV projects in Ghana include unstable currency exchange rates, inflation, design changes, high-interest rate, budget overrun, cash flow problems of the client, economy fluctuation, difficulty in obtaining approval of projects from host government authorities/bureaucracy, potential financial distress of JV partner and bribery and corruption.

This study provides a comprehensive list of risks ICJV partners are likely to encounter on their projects in developing countries. Furthermore, this study improves on one of the major limitations of previous ICJV studies by collecting data from both partners of the ICJV, appropriate for cross-cultural examination and comparison.