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Although belief in conspiracy theories has been researched since the 1970s, specific research on conspiratorial thinking in the workplace is scarce. Conspiratorial thinking could be fostered among employees in workplaces because of unequal power relations resulting from the organizational hierarchy. This study examines workplace conspiracy attribution (WCA) as employees’ attribution of problematic events in the workplace as being plotted by powerful actors within their organizations and tests its antecedents and consequences.

A survey dataset collected from employees in South Korea (N = 600) was used. This study tested three variables (i.e. two-way communication, employee–organization relationship quality, and perceived ethical orientation) as antecedent conditions of WCA and two outcome variables (i.e. turnover intention and whistleblowing potential) as consequences.

Perceived ethical orientation mediates the relationship between two-way communication and WCA. WCA was found to be positively associated with turnover intention and whistleblowing potential.

This study adopts a public relations lens to understand the significant roles of WCA in reducing turnover intention and whistleblowing potential. It expands existing knowledge of the significance of power and power disparities in organizations.

This study establishes an ontology-based framework for rework risk identification (RRI) by integrating heterogeneous data from the information flow of the prefabricated construction (PC) process. The main objective is to enhance the automation level of rework management and reduce the degree of reliance on human factors and manual operations.

The proposed framework comprises four levels aimed at managing dispersed rework risk knowledge and integrating heterogeneous data. The functionalities were realised through an integrated ontology that aligned the rework risk ontology with the PC ontology. The ontologies were developed and edited with Protégé. Ultimately, the potential benefit of the framework was validated through a case study and an expert questionnaire survey.

The framework is proven to effectively manage rework risk knowledge and can identify risk objects, clarify risk factors, determine risk events, and retrieve risk measures, thereby enabling the pre-identification of prefabricated rework risk (PRR) and improving the automation level. This study is meaningful and lays the foundation for the application of other computer methods in rework management research and practice in the future.

This research provides insights into the application of ontology to solve rework risk issues in the PC process and introduces a novel risk management method for future prefabricated project research and practice. The findings have significant theoretical value in terms of enriching the methods of risk assessment and control and the information management system of prefabricated projects.

Internal knowledge transfer is crucial for firms to improve their employees’ abilities and improve their work performance. However, there is still a gap in the knowledge management field regarding whether internal knowledge transfer can leverage employee personality traits and service performance in service-oriented organizations. To address this gap, this study aims to validate a multilevel model of the mediating (i.e. internal knowledge transfer as a mediator) and moderating (i.e. task interdependence as a moderator) mechanisms underlying personality traits and employee service performance.

Multilevel structural equation modeling was applied for model validation using an original data set from 45 team leaders and 333 employees working in Chinese hotels.

Internal knowledge transfer mediated the link between extraversion and employee service performance and the link between openness to experience and employee service performance. Task interdependence played a moderating role that strengthened both the impacts of extraversion and openness to experience on internal knowledge transfer.

Through the use of an original data set, this study advances the knowledge management discipline by investigating the mediating impact of internal knowledge transfer between personality traits and employee service performance and revealing the moderating impact of task interdependence that underlies the links between personality traits and internal knowledge transfer.

Due to the rapid growth of digital economy, improving employees’ creativity is becoming essential to optimizing the development of organizations. This study investigates how enterprise social media can enhance employee creativity and develops an integrated model based on communication visibility and social capital theories.

A two-stage questionnaire was conducted on full-time employees with enterprise social media experience. The first round of this study distributed 1,048 questionnaires and collected 639 valid sample data. A month later, the second survey was sent to the first valid respondents, with 421 valid sample data collected within a week.

Results show that visibility has a positive influence on employee creativity, in which expertise recognition and network recognition play a mediating role. The findings also indicate that bridging social capital positively moderates the effect of visibility on expertise recognition, and bonding social capital positively moderates the effect of visibility on network recognition.

This study contributes to a better understanding of the benefits of enterprise social media by uncovering the mechanism and theoretical boundary of the effect of visibility on employee creativity.

This article explores how the social media usage affect team creative performance via transactive memory system, knowledge interaction and expertise coordination.

The study is based on the perspective of transaction memory system and expertise coordination theory. A research model was constructed and tested, involving 289 individuals from 67 distributed agile software development teams.

The results indicate that social media usage is positively correlated with transactive memory system, and social media usage and transactive memory system have positive relations to knowledge interaction and expertise coordination. Moreover, this analysis shows that knowledge interaction has a positive relationship with expertise coordination, and expertise coordination positively affects team creative performance. However, knowledge interaction has no direct relationship on team creative performance, and its indirect impact on team creative performance was fully mediated by expertise coordination. This research shows that social media usage by distributed agile software development teams can support the development of transactive memory system and promote expertise coordination. In addition, knowledge interaction alone is not enough, and expertise coordination must be achieved to increase team creative performance.

First, this paper explores the mechanism of transactive memory system in distributed Agile Software Development teams from the perspective of social media, which is different from the previous information processing theory framework that confined transactive memory system to the cognitive aspects of knowledge coding, storage and retrieval. Second, this research focuses on the knowledge interaction and expertise coordination formed by team members in the process of communication in the context of social media usage, which confirms the crucial roles of social media usage and transactive memory system in team knowledge management and team creative performance. Then, this research also shows that the development of transactive memory system in the team is indeed an important factor to promote knowledge interaction and professional expertise coordination.

The purpose of this paper is to expand and analyze deeply customer emotions, concretize the levels of positive or negative emotions with the aim of using machine learning methods, and build a model to identify customer emotions.

The study proposed a customer emotion detection model and data mining method based on the collected dataset, including 80,593 online reviews on agoda.com and booking.com from 2009 to 2022.

By discerning specific emotions expressed in customers' comments, emotion detection, which refers to the process of identifying users' emotional states, assumes a crucial role in evaluating the brand value of a product. The research capitalizes on the vast and diverse data sources available on hotel booking websites, which, despite their richness, remain largely unexplored and unanalyzed. The outcomes of the model, pertaining to the detection and classification of customer emotions based on ratings and reviews into four distinct emotional states, offer a means to address the challenge of determining customer satisfaction regarding their actual service experiences. These findings hold substantial value for businesses operating in this domain, as the findings facilitate the evaluation and formulation of improvement strategies within their business models. The experimental study reveals that the proposed model attains an exact match ratio, precision, and recall rates of up to 81%, 90% and 90%, respectively.

The study has yet to mine real-time data. Prediction results may be influenced because the amount of data collected from the web is insufficient and preprocessing is not completely suppressed. Furthermore, the model in the study was not tested using all algorithms and multi-label classifiers. Future research should build databases to mine data in real-time and collect more data and enhance the current model.

The study's results suggest that the emotion detection models can be applied to the real world to quickly analyze customer feedback. The proposed models enable the identification of customers' emotions, the discovery of customer demand, the enhancement of service, and the general customer experience. The established models can be used by many service sectors to learn more about customer satisfaction with the offered goods and services from customer reviews.

The research paper helps businesses in the hospitality area analyze customer emotions in each specific aspect to ensure customer satisfaction. In addition, managers can come up with appropriate strategies to bring better products and services to society and people. Subsequently, fostering the growth of the hotel tourism sector within the nation, thereby facilitating sustainable economic development on a national scale.

This study developed a customer emotions detection model for detecting and classifying customer ratings and reviews as 4 specific emotions: happy, angry, depressed and hopeful based on online booking hotel websites agoda.com and booking.com that contains 80,593 reviews in Vietnamese. The research results help businesses check and evaluate the quality of their services, thereby offering appropriate improvement strategies to increase customers' satisfaction and demand more effectively.

Credible influencers play a key role in shaping the views and preferences of social media users. However, many influencers intentionally use disinformation (e.g. false narratives) to deceive users and gain their trust. This can have serious repercussions, not only for the firms that associate with these influencers but also for users. Further, and alarmingly, many influencers who use disinformation can sustain their credibility over time. This research explores how influencers use disinformation to establish long-term credibility on social media.

Drawing on self-presentation theory, we use an in-depth qualitative case study to address our research question, primarily relying on archival data obtained from multiple sources.

Our findings suggest that three stages of self-presentation are required to establish influencer credibility based on disinformation: backstage (preparing to deceive), experimentation (testing deception), and frontstage (launching deceptive ideas on a large scale). We also find that when fraudulent influencers simultaneously weaponise a counterculture and mindfully encase disinformation, users view them as highly credible.

We offer practical suggestions for regulating fraudulent influencers, including enacting fact-checking procedures, using IT artefacts as reliability signals, and building awareness programmes to develop vigilance in social media communities.

We contribute to self-presentation theory by adding experimentation as a critical stage in developing disinformation that works for long periods. We also contribute to the literature at the intersection of social media influencers and disinformation research by revealing why social media users believe in fraudulent influencers.

This paper aims to examine the main factors by which the high-performance work system (HPWS) influences the creativity of faculty members in Jordanian institutions. This work seeks to examine the factors that may influence the relationship between entrepreneurial orientation and faculty members’ creativity. The current study also seeks to fill the gaps and differences in the literature that addressed the subject of the study.

To achieve the main goal, the sample included 230 faculty members working in Jordanian universities in Jordan. After examination and scrutiny, it was found that 11 questionnaires were not suitable for analysis to take appropriate samples, 219 questionnaires were included in the survey.

The results of the paper showed that HPWS improves the entrepreneurial orientation, which in turn improves the creativity of the faculty member. Moreover, the results indicate that entrepreneurship education positively modifies the relationship between the entrepreneurial orientation and creativity of a faculty member.

The results of this study contribute to universities that seek to improve the creativity of their faculty members needing to apply the pioneering approach in the course of the educational process and create innovative creative ideas, and this in turn needs to be implemented HPWS. In addition, universities need to encourage and promote entrepreneurial education, moving away from traditional education. Lastly, this study is considered as one of the recent studies that dealt with a sample of faculty members and their creativity and linked it with HPWS. By developing new educational technologies and methods, the efficiency of knowledge transfer can be improved and access to high-quality education can be enhanced for all.

This study aims to test the relationship between knowledge sharing and employee engagement. In particular, the mediating and moderating roles of competency development and social climate, respectively, are also the focus of this research.

Of self-completed questionnaires collected from luxury hotels in India, 507 are usable for data analysis. The structural equation modelling (SEM) was used to examine the proposed hypotheses.

The structural equation modeling–based results illustrate a positive significant association between knowledge sharing and employee engagement. Also, there is a significant support to establish the mediating effect of competency development and the moderating effect of social climate on this relationship. The expansion of competencies of employees achieved through knowledge sharing leads to higher engagement.

This work is carried out in Indian hospitality sector and may not be generalizable to other cultural settings.

This study’s results add to the knowledge sharing scholarship by envisaging a possible association with an employee attitudinal outcome, i.e. employee engagement.

To the best of the authors’ knowledge, this is one of the first studies to unravel the social processes through which knowledge sharing enhances competency development, and subsequently employee engagement, mainly through the influence of social climate.

Although many health and safety (H&S) studies have widely examined safety risk perception in the construction industry, few studies have explored how this perception influences site workers' risk-taking behaviours during construction. This study aims to examine how construction site workers perceive and judge safety risks in risk-taking behaviours of site workers for intervention safety policy framework that may encourage safe work.

The study employed Pictorial-based Q-Methodology, which documented 63 picture scenarios of risk-taking behaviours from building sites and submitted them for validation from H&S inspectors. In total, 33 pictures emerged as having great potential to cause harm. After using these 33 pictures to elicit data from randomised site workers, the study used Frequency Tabulation, Relative Importance Index (RII) and Kruskal–Wallis Test to analyse the collected data. To fully explain the analysed data for deeper understanding, the study conducted Focus Group Discussions (FGDs) with these site workers to share the thoughts of site workers on these pictures.

Two distinctive pictures emerged from these analyses: one showing risk-taking behaviour likely to contract internal and skin disease and the other likely to fall from height. One of the implications is that construction site workers are unfamiliar with the dangerous contaminants in the materials the site workers use to work, which can potentially harm the site workers' skin and internal organs. Hence, site workers continue engaging in risk-taking behaviours. The other is that site workers are aware of and can mention catastrophic physical injuries attached to site workers' jobs. However, site workers continue engaging in risk-taking behaviours because of site workers' safety plights and rely on the favour and mercies of a supreme being as coping strategies to escape from these physical injuries.

This study is original in that the study uses picture scenarios of risk-taking behaviours to amass an empirical-based understanding of how site workers perceive and respond to H&S risks during construction. This piece of evidence is missing in the numerous research studies in this area. Again, the findings contribute to the state-of-the-art literature regarding risk-taking behaviours on construction sites.