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Examines the practical utility of research on managerial behaviour and managerial effectiveness for training and development programmes. Casts doubt on the relevance of models in the literature that tell managers what they should do. Reviews studies of effective managers. Concludes that the design of programmes in particular settings requires a study of who is an effective manager in that setting; that the concepts and methods available in the literature will be used; that such research has potential use for programmes where training is a stepping stone to change.

The purpose of this paper is to examine the perceptions of school principals of the evaluator’s role and to learn about their requirements of school evaluators.

The current study is based on the qualitative paradigm of data collection and analysis. This paradigm provides a profound a description of the phenomenon in the context in which it takes place, based on the respondents’ perceptions and how they interpret their experiences. In the course of the study, the authors used semi-structured in-depth interviews.

Findings indicated that principals had regarded the role of the school evaluator mainly as that of an expert, a managerial partner and an implementer of school evaluation culture.

The interviewers were the teachers who had been trained for the school evaluator’s position.

The “school evaluator” and the principals bear the complex task of evaluation on their shoulders, and their success in fulfilling it depends on their insights about how to delineate and implement the evaluator’s role. The paper outlines some crucial benchmarks for resolving the issue of role definitions between them.

As a relatively new profession, derived from other professions and research areas, evaluation has no solid, historical occupational legacy in schools. This paper broadens the merit of school evaluator as the facilitator of quality assurance.

The increased responsibility placed on schools, the demand of accountability as well as transparency, have obliged the schools to broaden and deepen the internal evaluation activities. This paper reveals the essence of school evaluator’s role and suggests some key points for his/her valuable work.

Crowdsourcing platforms have emerged as an innovative way to generate ideas and solving problems. However, promoting sustained participation among crowdworkers is an ongoing challenge for most crowdsourcing platform providers. Drawing on self-determination theory, this study investigates the impacts of job autonomy on crowdworkers' sustained participation intention.

A survey of 212 crowdworkers from a leading crowdsourcing platform in China was conducted to empirically validate the model.

The empirical results lead to several key findings. First, the taxonomy of job autonomy in crowdsourcing contains three archetypes: work-scheduling autonomy, work-task autonomy, and work-method autonomy. Second, work-scheduling autonomy and work-method autonomy have more significant positive effects on temporal value than work-task autonomy, and this increase in temporal value increases crowdworkers' sustained participation intention. Third, work-task autonomy exerts a stronger influence on hedonic value than work-scheduling autonomy or work-method autonomy, and this increase in hedonic value also increases crowdworkers' sustained participation intention.

This study extends the crowdsourcing literature by examining the formation of crowdworkers' sustained participation and highlighting the role of differential effects of multidimensional job autonomy on crowdworkers' sustained participation. We believe that this study provides actionable insights into measures that promote crowdworkers' sustained participation in the crowdsourcing platform.

We build on the transactional model of stress and coping and the appraisal theory of emotions to theorize how users cognitively and emotionally cope with IT addiction-induced stress, distinguish between the roles of guilt and shame in shaping the coping responses and their effects on one’s psychological well-being.

We test our theory via two complementary empirical studies in the context of social networking sites (SNS). Study 1 (n = 462) adopts a variable-centered approach using structural equation modeling to validate the research model. Study 2 (n = 409) uses Latent Profile Analysis to identify a typology of SNS users based on Study 1’s findings.

This paper provides a model of guilt-vs shame-driven cognitive-emotional coping with IT addiction and its effects on users’ psychological well-being. It also offers a typology of SNS users on this basis.

This paper sheds light on guilt-vs shame-driven coping with IT addiction and its consequences on users’ psychological well-being and identifies distinct classes of users based on their coping choices and their consequences.

Cyberloafing, using technology to idle instead of work, is a particularly concerning issue for many organizations due to its perceived widespread impact on productivity. The purpose of this paper is to meta-analytically examine the growing literature on this construct in order to gain insights into its nomological network and guide future research.

After a systematic literature search, the authors conducted psychometric meta-analyses to estimate the relationships of 39 different correlates with cyberloafing. The meta-analytic database was comprised of 54 independent samples contributing 609 effect sizes.

Results indicate that boredom, engagement, and self-control exhibit strong relationships with cyberloafing, but employees’ attitudes surrounding and opportunities to engage in cyberloafing also proved powerful predictors. Contrary to common stereotypes, age and other demographic variables exhibited negligible effects. Employment variables (e.g. tenure, organization level, and income) were also negligibly related to cyberloafing. Emotional stability, conscientiousness, and agreeableness exhibited modest negative relationships with cyberloafing, whereas self-control demonstrated a strong negative relationship. Although cyberloafing strongly correlated with overall counterproductive work behaviors, the findings suggest it is unrelated to other components of job performance.

Because the cyberloafing literature is in its early stages, the present study drew on a limited number of samples for several of the relationships analyzed. Rather than providing conclusive evidence of the nomological network of cyberloafing, these analyses reinforce the need for empirical investigation into several important relationships.

As the first quantitative review of the emerging cyberloafing literature, this study synthesizes related studies from disparate disciplines, examines the nomological network of cyberloafing, and highlights future directions for research into this phenomenon.

The purpose of this paper is to develop a theoretical model to explain the impact of big data analytics capabilities (BDAC) on company’s supply chain sustainability (CSCS). The secondary objective of the study is to assess the relationship between different dimensions of supply chain sustainability and companies’ BDAC.

This research was carried out by conducting a survey among 234 pharmaceutical companies in Iran (a case study of Iran), using a standard questionnaire of BDAC and United Nations (UN) online self-assessment on supply chain sustainability. However, the respond of managers of 188 companies were usable in this research. Smart PLS3 was used to employ partial least squares method to examine the validity and reliability of the measurement and structural model.

The results of this study demonstrate that BDAC have a strong impact on both pharmaceutical supply chain sustainability, and the dimensions including vision, engage and internal. It is found that the relationships between BDAC and the other dimensions of supply chain sustainability including expect, scope and goals are not significant but positive.

Research on the relationship between BDAC and CSCS, especially in the pharmaceutical supply chain, is scanty, and this gap is highlighted in developing countries and the pharmaceutical supply chain that plays a prominent role in public health. This paper discusses several important barriers to forming a sustainable supply chain and strong BDA capabilities.

This paper could be a guide to managers and consultants who are involved in big data analytics and sustainable development. Since UN urges companies do the online self-assessment, the results of this paper would be attractive and useful for UN global compact specialists.

No study has directly measured the relation between BDAC and CSCS and different dimensions of CSCS, using a comprehensive survey throughout all pharmaceutical companies in Iran. Moreover, this research assesses the different dimensions of BDA capabilities and supply chain sustainability. This paper represents the facts about situation of sustainability of pharmaceutical supply chain and BDAC in these companies, and discloses several related issues that are serious barriers to forming a sustainable supply chain and strong BDAC. In addition, this paper provided academic support for UN questionnaire about CSCS and used it in the survey.

This study aims to examine hotel guests’ acceptance of technology agency – the extent to which they would let artificial intelligence (AI)-based systems make decisions for them when staying in hotels. The examination was conducted through the prism of several antecedents of acceptance of technology agency, including perceived ethics, benefits, risks and convenience orientation.

A thorough literature review provided the foundation of the structural model, which was tested using confirmatory factor analysis, followed by structural equation modeling. Data were collected from 400 US hotel guests.

The most important determinant of acceptance of technology agency was perceived ethics, followed by benefits. Risks of using AI-based systems to make decisions for consumers had a negative impact on acceptance of technology agency. In addition, perceived loss of competence and unpredictability had relatively strong impacts on risks.

The results provide a conceptual foundation for research on systems that make decisions for consumers. As AI is increasingly incorporated in the business models of hotel companies to make decisions, ensuring that the decisions are perceived as ethical and beneficial for consumers is critical to increase the utilization of such systems.

Most research on AI in hospitality is either conceptual or focuses on consumers’ intentions to stay in hotels that may be equipped with AI technologies. Occupying a unique position within the literature, this study discusses the first time AI-based systems that make decisions for consumers. The value of this study stems from the examination of the main concept of technology agency, which was never examined in hospitality.

Despite manager’s investments in facilitating knowledge sharing, such as hiring employees with lots of knowledge, knowledge hiding remains prevalent in organizations. It may stem from that less attention has been paid to the relationship between perceived overqualification and knowledge hiding. Drawing on emotion theory, this study aims to build a mediation framework to examine effects of perceived overqualification on knowledge hiding via negative emotion state and moderating role of team positive affective tone.

The paper uses a two-wave survey study among 398 knowledge workers from 106 teams in knowledge-intensive industries and tests the hypotheses by performing a series of hierarchical linear modeling analyzes.

The results show that a negative emotion state mediates the U-shaped relationship between employees’ perceived overqualification and knowledge hiding behavior. Team positive affective tone moderates the U-shaped relationship between negative emotions and employees’ knowledge hiding behavior.

This study extends current knowledge management literature by introducing perceived overqualification as an individual predictor of employees’ knowledge hiding behavior and revealing the both light and dark sides of perceived overqualification on knowledge hiding, as well as its intervening mechanism. The research findings help practitioners to curb such counterproductive behaviors.

This research investigates the impact of business analytics (BA) on corporate entrepreneurship (CE) and open innovation (OI), considering the moderated mediation analysis in the context of Iran as a developing country. The study was conducted in various industries, including food, chemicals, agriculture, automobile, and service industries, with 207 observations.

Through an in-depth review of the extant literature a conceptual model was developed and the proposed hypotheses were tested using Structural Equation Modeling technique (PLS-SEM).

The results indicate that business analytics has significant effects on corporate entrepreneurship and open innovation. Open innovation has a significant effect on corporate entrepreneurship, with open innovation serving as a suitable mediator. Furthermore, the moderated mediation analysis shows the positive impact of Business Analytics on Open Innovation-Corporate Entrepreneurship relationship.

As this study was conducted in Iran, one of the main limitations can be attributed to the specific characteristics of the country which may affect how and how much the variables influence each other.

The study highlights the importance of promoting Open Innovation in organizations and utilizing Business Analytics to make strategic decisions and foster innovation in entrepreneurial activities.

This study fills the gap in the literature by exploring how BA contributes to corporate entrepreneurship of the Iranian organizations in various industries, given open innovation as a mediator under dynamic market conditions.