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This study aims to reveal the association between task conflict and job satisfaction with the mediating role of incivility and the moderating role of self-esteem. In addition, the data collected from the UK and Turkey were analyzed separately, and the aim was to contribute to the literature in this field by analyzing the research model in a cultural context.

This research focuses on the relationship between managers and subordinates in organizations. In this study, a survey method was applied to 708 subordinates, both UK and Turkish citizens, working in nine different industries. The obtained data were first analyzed in combination; then, the data of both countries were analyzed separately, and the effect of cultural differences on the research model was investigated.>

According to the results obtained, the relationship between task conflict and job satisfaction is negative, and subordinates’ perceptions of incivility play a mediating role in this relationship. In addition, subordinates’ self-esteem level has a moderating role in the effect of task conflict on job satisfaction through incivility. However, there is no evidence of an effect of culture on this model.

This study contributes to the literature by presenting new evidence on the antecedents of job satisfaction. In addition, it is one of the pioneering studies that provides evidence of the impact of the perceptions and personal characteristics of disputants in a task conflict on task conflict outcomes. Furthermore, this study contributes to the limited cross-cultural studies in the conflict and job satisfaction literature.

This study aims to create a more humane and responsible workplace, individuals’ gratitude and meaningfulness seem of utmost importance. This study is an effort to understand the role of gratitude intent of potential managers.

This study examines the psychological characteristic of business students in India. The researchers surveyed 333 Indian students as future managers. The collected data has been analysed with the Smart PLS 3 version to assess the formative-reflective scale by comparing model fit, measurement model and structural modelling.

The results establish that gratitude significantly affects the life satisfaction of future managers. Findings also show that materialism is negatively related to life satisfaction and meaningfulness. The importance–performance map analysis finding suggests that meaningfulness in life is a potential indicator of life satisfaction for the population studied.

Due to the limited research available on the psychological underpinnings in the Indian context, there is a massive value in examining how materialism and gratitude concurrently and distinctively predict meaning in life and the life satisfaction of future managers. This paper gives a formative explanation of the model consisted gratitude, materialism and meaningfulness in life on the life satisfaction of future managers. This study establishes the importance of meaningfulness of life in attaining life satisfaction for young managers.

This study explores how emotional intelligence, customer orientation, deep acting and surface acting influence job satisfaction among middle managers in their interactions with customers, colleagues and business partners. By examining these factors, we aim to provide insights into their collective impact on job satisfaction and interpersonal dynamics within organizational contexts.

By involving 95 middle managers at Indonesian Internet service providers as respondents, this research used a questionnaire to collect data. Next, the data were analyzed using the partial least square-structural equation modeling (PLS-SEM) technique, which evaluated measurement models and structural models. A total of twelve hypotheses were tested in this study.

This study found that customer orientation does not have a significant effect on deep acting, thereby nullifying its indirect effect on job satisfaction. Conversely, it's demonstrated that both deep acting and surface acting serve as partial mediators in the relationship between emotional intelligence and job satisfaction. Furthermore, surface acting emerges as a partial mediator in the connection between customer orientation and job satisfaction.

By exploring the relationship between customer orientation, emotional intelligence and job satisfaction among employees, this study seeks to reveal novel insights. The study examines the impact of these critical elements, which are necessary for middle managers to effectively manage their emotions and cultivate significant connections, on their overall job satisfaction and interpersonal dynamics in their diverse responsibilities.

The pressure to survive in a highly competitive market by using artificial intelligence (AI) has further demonstrated the need for automation in business operations during a crisis, such as COVID-19. Prior research finds managers' mixed perceptions about the use of technology in business, which underscores the need to better understand their perceptions of adopting AI for automation in business operations during COVID-19. Based on social exchange theory, the authors investigated managers' perceptions of using AI in business for effective operations during the COVID-19 pandemic.

This study collected data through a survey conducted in China (N = 429) and ran structural equation modeling to examine the proposed research model and structural relationships using Smart PLS software.

The results show that using AI in supply chain management, inventory management, business models, and budgeting are positively associated with managers' satisfaction. Further, the relationship between managers' satisfaction and effective business operations was found to be positively significant. In addition, the findings suggest that top management support and the working environment have moderating effects on the relationship between managers' satisfaction and effective business operations.

The results of this study can guide firms to adopt an AI usage policy and execution strategy, according to managers' perceptions and psychological responses to AI.

The study can be used to manage the behavior of managers within organizations. This will ultimately improve society's perception of the employment of AI in business operations.

The study's outcomes provide valuable insights into business management and information systems with AI application as a business response to any crisis in the future.

This paper aims to investigate the internal factors of resources and capabilities of five born globals (BGs) from Estonia. It explores quantitatively the internal factors between a medium BG and four small BGs.

The study used a survey questionnaire in collecting information from the CEOs of BGs. The questionnaire consisted of 105 questions relevant to export sales related to differences in internal factors.

The firms’ size and industrial sector play a role in export sales due to differences in internal factors. Small BGs expect financially based rewards, non-financial rewards, the job satisfaction of sales representatives with the export manager, and with work in general, and the representatives’ job satisfaction is higher in the small BGs than in the medium BG. The sales representatives’ job performance, their work performance, sales presentations, technical knowledge, adaptiveness, teamwork, planning, support, the organisational capabilities for business identification, relationship-building and innovation are all higher in medium BGs than in small BGs. Eleven sub-constructs of the model were shown to be important for small BGs.

The current study is focused on BGs from Estonia, i.e. small BGs and medium BGs. The study contributes to the internal factors of resources and capabilities of BGs as well as to the literature review on BGs. It also provides a logical conceptual model, indicating that the export manager’s job satisfaction is the central construct influenced by antecedent factors and is related directly to the export sales performance of the BG.

This investigates the interrelationships between job and career satisfaction and career change intention through the extension of the theory of planned behavior (TPB).

The data for the study is collected from 219 top and middle-level managers and analyzed through partial least squares path structural equation modeling (PLS-SEM).

Findings indicate that job and career satisfaction have a significant and negative impact on personal attitude toward career change and subjective norms, whereas all three constructs of the TPB influence the intention to change career. In addition, the mediation of personal attitude and subjective norm pathways were found to be significant for both job and career satisfaction and career change intention relationships, while no mediation effect was identified for the perceived behavior control construct of the TPB.

The results suggest important theoretical and practical implications. First, a novel model of mediation between job and career satisfaction and the intention to turn away from an existing career is introduced between job and career satisfaction and career change intention associations for testing the full TPB framework.

The findings imply that the impact of cognitive factors, including having a positive opinion about the potential outcomes of switching to a new career, the level of pressure exerted by significant third parties about making a career change, and the self-belief about making this change happen should be closely investigated when examining the determinants of career change intention.

To the best of the authors’ knowledge, this is the first empirical research study that tests the impact of the determinants of TPB on career change intention within a sample of professional managers from an emerging economy context.

This study aims to explore how transformational leaders enhance public service employees’ growth satisfaction in the job and mitigate job stress and burnout, incorporating follower interpersonal communication satisfaction with the leader (IPCSL) as a mediator.

On the basis of the survey data collected from the Indian public service employees, regression analysis, bootstrapping and SOBEL test are used to test the proposed research model.

The findings highlighted a partial mediation of follower interpersonal communication satisfaction with leader between transformational leadership (TL) and public service employees’ growth satisfaction in the job. Although there was no significant direct effect of TL on job stress and burnout, the results underlined a significant indirect effect of follower IPCSL.

By examining the important role of follower IPCSL, this study unravels the precise intervening mechanism between TL and follower affective outcomes like growth satisfaction in job, job stress and burnout among public service employees.

The purpose of this paper is the presentation of a learning model for a manager and employee working collaboratively to make advances in knowledge, skills, work performance and in the quality of their relationship. The model is called reciprocal action learning.

The approach was to examine concepts and research that could be linked to reciprocal learning. Desired, ultimately, was creation of a proposal that put forth an explanation of manager–employee learning and a means for placing the effort into practice. Theories and concepts are identified in support of the learning approach and its functioning. Action or experiential learning was identified as the vehicle for implementation.

Substantive, supportive information was identified in the expression of a practical action plan for a manager to use to spring reciprocal learning to life.

The action plan set forth can serve as a model or template for a manager, particularly those managers with little experience in guiding employee learning. Initial use of the concepts and action plan could be regarded as an experiment and could set the stage for additional, more informed efforts at reciprocal learning.

While much empirical and other research addresses employee learning and management/manager learning, there is very little research or material available regarding how a manager and an employee can directly learn together in working on an issue (problem, change, improvement, etc.) in a collaborative fashion that embraces equality.

This research intends to develop a model for predicting employees at a high-risk attrition and identify the most important factors affecting them.

In this study, using the triangulation technique of a mixed research method, the employee attrition problem is investigated by identifying its affecting factors. For that matter, data related to the human resources department of a pharmaceutical company in Iran are used. And to achieve the intended goal, advanced data mining algorithms and interviews with human resource managers are applied.

A model for predicting employees at a high-risk attrition is presented based on the gradient boosting machine algorithm with 89% accuracy. The use of the mixed research approach shows that qualitative and quantitative methods can be more effective in identifying the factors affecting employee churn or loss of staff. The results also contain a new situation arising out of the COVID-19 pandemic and remote working scenarios having impact on employee attrition. Finally, human resource policies are presented based on variables related to each of the identified factors.

The novel contributions of this study include real data related to a leading pharmaceutical company as well as a combination of two quantitative and qualitative methods. The hybrid approach can identify the reasons for attrition and, consequently, retention policies to benefit from the advantage of both approaches. Data mining can be useful to identify the factors, which are usually not mentioned in termination interviews, such as direct managers. On the other hand, the results obtained from termination interviews can also include features that the authors cannot identify through data mining, which are specifically related to the characteristics of the pharmaceutical industry such as building a more professional career path. From a practical perspective, since this company specializes in pharmaceutical marketing in a new way and is primarily comprised graduates, it is important to note that the churn of specialized people disperses organizational and technological know-how. On the other hand, the pharmacist community in Iran is small, and their attrition might adversely affect not only the reputation of an organization but the employer's brand as well. So, this research would help other similar firms in retaining their valuable human capital.

The purpose of this paper is to explore empirically how the two kinds of strategic orientations including export market orientation (EMO) and technology orientation (TO) predict innovation performance (IP) and export performance (EP), by investigating the mediation effect of IP and the moderation effect of external network (EN).

The statistical population of this research is the food and agricultural products exporting firms which participated in the 26th International Agrofood Exhibition in Tehran, Iran. The sample of 296 managers filled out questionnaires using systematic random sampling methods. Structural equation modeling was used to analyze the data.

Results demonstrate that the increase of EMO and IP is related to a rise in EP. Furthermore, the research finds that IP is a partial mediator in the link between EMO and EP. Finally, the moderation impact of the external networks in an association between TO and IP is supported by the data.

This study is one of the limited number of studies to consider the mediation impact of innovation performance in the relationship between EMO and EP, and it is actually the first study, to the best of the authors’ knowledge, to investigate the moderating impact of EN in the relationship between TO and IP in the context of one developing country.