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The authors aim to broaden the understanding of incivility through the lens of bystanders who witness incivility toward women. Integrating attributional ambiguity and emotional contagion theories with the literature on workplace mistreatment, the authors propose that witnessing incivility toward women may negatively impact bystanders.

The authors collected multi-wave data from 324 employees to assess the consequences of witnessing incivility toward women at work for bystanders.

Utilizing a serial mediation model, the authors found evidence that witnessing incivility toward women indirectly increased turnover intentions six weeks later, first through elevated negative affect and then through increased cognitive burnout.

Taken together, this study's findings suggest that the negative effects of incivility toward women can spread to bystanders and highlight the importance of considering individuals who are not directly involved, but simply bear witness to incivility at work.

Entrepreneurship can help tackle economic problems, such as unemployment. It is often promoted through education programs. There is a limited comprehensive and rigorous understanding of how entrepreneurship education programs and their ubiquitous distance delivery affect young people's entrepreneurial self-efficacy and intention, particularly in non-formal settings. The purpose of this study is to address this gap.

Underpinned by the Social Cognitive Theory, this paper investigates the effects of one entrepreneurship education program in a study with 145 young people from five countries aged 18 to 25 years, 62 Intervention and 83 Control participants. The program's impact on the participants' entrepreneurial intention and self-efficacy (across six sub-dimensions) was assessed in a one-off two-week quasi-experiment. Ex-ante and ex-post self-reported data were collected about the participants.

One-way analyses of covariance were performed to assess separately for changes in the Intervention participants' answers, relative to the Control group. The results of this study suggest the program significantly affected all measures.

These findings contribute to the discussions on the education programs’ effectiveness in promoting entrepreneurship. As a result, they may contribute to entrepreneurship education overcoming geographical and socio-economic hurdles (cost, time and entry barriers) to advance the development of industry, economy and community worldwide.

Seekers who visit professional virtual communities (PVCs) are usually motivated by knowledge-seeking, which is a complex cognitive process. How do seekers search for knowledge, and how is their search linked to prior knowledge or PVC situation factors? From the cognitive process and interactional psychology perspectives, this study investigated the three-way interactions between seekers’ expertise, task complexity, and perceptions of PVC features (i.e. knowledge quality and system quality) on knowledge-seeking strategies and resultant outcomes.

A field experiment was conducted with 119 seekers in a PVC using a 2 × 2 factorial design of seekers’ expertise (i.e. expert versus novice) and task complexity (i.e. low versus high).

The study reveals three significant insights: (1) For a high-complexity task, experts adopt an ask-directed searching strategy compared to novices, whereas novices adopt a browsing strategy; (2) For a high-complexity task, experts who perceive a high system quality are more likely than novices to adopt an ask-directed searching strategy; and (3) Task completion time and task quality are associated with the adoption of ask-directed searching strategies, whereas knowledge seekers’ satisfaction is more associated with the adoption of browsing strategy.

We draw on the perspectives of cognitive process and interactional psychology to explore potential two- and three-way interactions of seekers’ expertise, task complexity, and PVC features on the adoption of knowledge-seeking strategies in a PVC context. Our findings provide deep insights into seekers’ behavior in a PVC, given the popularity of the search for knowledge in PVCs.

Cyber-attacks that generate technical disruptions in organisational operations and damage the reputation of organisations have become all too common in the contemporary organisation. This paper explores the reputation repair strategies undertaken by organisations in the event of becoming victims of cyber-attacks.

For developing the authors’ contribution in the context of the Internet service providers' industry, the authors draw on a qualitative case study of TalkTalk, a British telecommunications company providing business to business (B2B) and business to customer (B2C) Internet services, which was a victim of a “significant and sustained” cyber-attack in October 2015. Data for the enquiry is sourced from publicly available archival documents such as newspaper articles, press releases, podcasts and parliamentary hearings on the TalkTalk cyber-attack.

The findings suggest a dynamic interplay of technical and rhetorical responses in dealing with cyber-attacks. This plays out in the form of marshalling communication and mortification techniques, bolstering image and riding on leader reputation, which serially combine to strategically orchestrate reputational repair and stigma erasure in the event of a cyber-attack.

Analysing a prototypical case of an organisation in dire straits following a cyber-attack, the paper provides a systematic characterisation of the setting-in-motion of strategic responses to manage, revamp and ameliorate damaged reputation during cyber-attacks, which tend to negatively shape the evaluative perceptions of the organisation's salient audience.

This study aims to identify the influence exerted by the performance of human resources (HR) through effectiveness and efficiency in the success of business projects in Mexico.

The methodological design was quantitative, explanatory, observational and transversal, where a sample of 502 was used. A structural equation model (SEM) was developed using the statistical software AMOS v25 to test the hypothesis. SPSS v25 was used for data analysis. Regarding the goodness and fit indices of the SEM, χ² = 388.83/df = 143; χ²/df = 2.71; p < 0.001; GFI = 0.92; AGFI = 0.91; CFI = 0.96; TLI = 0.95; NFI = 0.94; IFI = 0.96; RMSEA = 0.05; RMR = 0.04; SRMR = 0.03, which turned out to be acceptable.

Through the results obtained through the SEM, it is shown that there is a positive and significant relationship between the performance of HR through their effectiveness (r = 0.65, p < 0.01) and efficiency (r = 0.64, p < 0.01) with respect to the success of the business projects. Likewise, the effectiveness of HR has a positive and significant influence on the efficiency (ß₂ = 0.46; p < 0.001) and the success of business projects (ß₃ = 0.89; p < 0.001) in Mexico. In the same way, efficiency positively and significantly influences the success of enterprises (ß₄ = 0.35; p < 0.001) in Mexico.

In this research, only the performance of the HR was assessed through efficiency and effectiveness as one of the variables that intervene in the development of the business project, and that is one of the main factors of analysis to achieve the success of the enterprise. In this sense, the results are limited to the extent that the findings can be generalized to business projects that are developed in different entities such as universities, incubators and other instances that promote the development of business projects and thereby guarantee success. In this sense, it is considered to carry out more research regarding these variables and others that can study the phenomenon and generate new scientific research.

HR performance is considered as one of the main factors that allow the success of business projects. However, some practical limitations are determined by the vision, strategies, as well as the orientation that entities such as universities, and incubators, among other organizations, determine to develop the business project and thus guarantee its success. Other practical implications lie in the leadership that the entrepreneur exercises in his/her work team and collaborators to generate synergy between them considering culture and identity, as well as the commitment to the business project.

The findings are relevant and of great value because they support entrepreneurship models, giving an alternative focus in the study to achieve success, specifically in the state of Guanajuato, which represents one of the main states that have with a greater number of ventures focused on the automotive, food, leather and footwear cluster, among other SMEs that promote business projects and is one of the main states of the Mexican Republic that contributes to the economic development of the region as well as the nation. Likewise, the study is relevant because there is currently not enough research focused on the variables analyzed on the success of business projects in the Mexican context.

Taking into consideration the current human need for agricultural produce such as rice that requires water for growth, the optimal consumption of this valuable liquid is important. Unfortunately, the traditional use of water by humans for agricultural purposes contradicts the concept of optimal consumption. Therefore, designing and implementing a mechanized irrigation system is of the highest importance. This system includes hardware equipment such as liquid altimeter sensors, valves and pumps which have a failure phenomenon as an integral part, causing faults in the system. Naturally, these faults occur at probable time intervals, and the probability function with exponential distribution is used to simulate this interval. Thus, before the implementation of such high-cost systems, its evaluation is essential during the design phase.

The proposed approach included two main steps: offline and online. The offline phase included the simulation of the studied system (i.e. the irrigation system of paddy fields) and the acquisition of a data set for training machine learning algorithms such as decision trees to detect, locate (classification) and evaluate faults. In the online phase, C5.0 decision trees trained in the offline phase were used on a stream of data generated by the system.

The proposed approach is a comprehensive online component-oriented method, which is a combination of supervised machine learning methods to investigate system faults. Each of these methods is considered a component determined by the dimensions and complexity of the case study (to discover, classify and evaluate fault tolerance). These components are placed together in the form of a process framework so that the appropriate method for each component is obtained based on comparison with other machine learning methods. As a result, depending on the conditions under study, the most efficient method is selected in the components. Before the system implementation phase, its reliability is checked by evaluating the predicted faults (in the system design phase). Therefore, this approach avoids the construction of a high-risk system. Compared to existing methods, the proposed approach is more comprehensive and has greater flexibility.

By expanding the dimensions of the problem, the model verification space grows exponentially using automata.

Unlike the existing methods that only examine one or two aspects of fault analysis such as fault detection, classification and fault-tolerance evaluation, this paper proposes a comprehensive process-oriented approach that investigates all three aspects of fault analysis concurrently.

Listening is often considered the cornerstone of the communication process, with feedback being a crucial skill for effective management. The primary objective of this article was to investigate the relationship between managers’ listening skills and feedback skills from their subordinates’ perspectives. Moreover, it explores the mediating effect of message-sending skills and the ability to deal with interference in this relationship.

This article deployed a quantitative, descriptive research design. The authors developed and distributed a self-administered questionnaire via non-probability convenience sampling, resulting in 304 useable responses.

The results of the main direct effect test (model 1) indicate that listening is positively associated with feedback. Model 2 established that message-sending skills did not directly mediate that relationship. On the other hand, the ability to deal with interference was found to mediate the relationship. Finally, model 4 showed the multi-mediating effect of message-sending skills and the ability to deal with interference in the relationship between listening and feedback.

As far as the researchers are aware, this paper is the first of its kind to show the ability to deal with interference as a mediating factor in a statistical model. Moreover, this study is the first to present a continuous intermediary role played by message-sending skills and the ability to deal with interference in the relationship between listening and feedback.

This study aims to consider the role of emotions, especially those related to empathy, in promoting a more humane education that enables students to reach out across kinship chasms to promote the development of communities predicated on a shared value on mutual respect. This attention to empathy includes a review of the rational basis for much schooling, introduces skepticism about the façade of rational thinking, reviews the emotionally flat character of classrooms, attends to the emotional dimensions of literacy education, argues on behalf of taking emotions into account in developmental theories and links empathic connections with social justice efforts. The study’s main thrust is that empathy is a key emotional quality that does not come naturally or easily to many, yet is important to cultivate if social justice is a goal of education.

The author clicked Essay and Conceptual Paper. Yet the author required to write the research design.

The author clicked Essay and Conceptual Paper. Yet the author required to write the research design.

The author clicked Essay and Conceptual Paper. Yet the author required to write the research design.

The paper challenges the rational emphasis of schooling and argues for more attention to the ways in which emotions shape thinking.

This exploratory research aims to identify the effect of perceived stress level and self-efficacy on management quality and what practices and theories need to be enhanced to improve management quality under volatility business environments.

The study surveyed 291 working women, using the Perceived Stress Scale and the General Self-Efficacy Scale. Latent class analysis (LCA) for classifications of respondents, using categorical observed variables and MANCOVA, are applied to determine the relationship between stress and self-efficacy on the assigned classes.

The study suggests that in a highly volatile business environment, where stress is high, affecting management quality, managers as individuals fall into one of four classes that describe their techniques of coping with the stress, namely Uncommitted Experimenters, Try Anything, Intrinsically Motivated and Externally Motivated. Techniques of stress management classification are significantly related to the combined perceived stress and self-efficacy measures, with Externally Motivated respondents as the classification with a significant mean difference.

The main limitation of the study at hand refers to the sample size versus the number of potential factors of stress. This limitation highlights the need for further data gathering and research in this area, as stress is a critical factor of performance and often ignored in traditional management theories. Another limitation of this study is the lack of in-depth analysis of the use of meditation; its benefits and how to best use this practice in traditional work settings.

The outcome of the study could have significant implications for quality of management in business, private and social sectors by providing meditation as a tool for employees and stakeholders to handle stress in conflict zones.

Using stress management techniques might prove to be a low-cost tool for better quality management of human assets.

The authors study focuses on women in volatile economic turmoil, natural devastations, conflict areas and politically insecure environments. This socioeconomic segment was rarely scrutinized despite its direct effect on a large number of economies hosting a sizeable portion of the world’s population. Interesting potential results highlight the relationship between the respondents in the Intrinsically Motivated class and stress reduction for the benefit of management quality.

The authors contribute to the literature on leadership by investigating how characteristics of principal investigators (PIs) affect innovation performance, and how collaborative and non-collaborative projects moderate this relationship within the context of inter-organisational research projects.

The authors analysed panel data from the National Science and Technology Information Service on 171 research projects within a biomedical and regenerative medicines programme overseen by the Korea Health Industry Development Institute. The authors used a hierarchical regression model, based on the ordinary least squares method, to examine the relationship between PI characteristics and performance, considering both quantity and quality.

The results show that the characteristics of PIs have diverse effects on the quantity and quality of innovation performance. Gender diversity within PIs negatively affects the quality of innovation performance, while the capacity of PIs positively influences it. Moreover, the degree of PI’s engagement is positively associated with the quantity of innovation performance but does not have a significant relationship with the quality of performance. In terms of moderating effects, collaborative projects with multiple leaders seem less reliant on PI capacity than non-collaborative projects led by a single leader, in terms of innovation performance.

The results contribute significantly to the literature on innovation management by examining the role of leadership in collaborative environments to enhance innovation performance, addressing the need for empirical evidence in this area. Analyses of PI characteristics in government R&D management can lead to improved team performance, more efficient processes and effective resource allocation, ultimately fostering innovation.