The Covid 19 epidemic has forced many organizations to move to remote work (RW), and this trend is expected to continue even later in the post-epidemic period. Employees of the organization are at the heart of this transi-tion to RW, so identifying the factors that affect employee satisfaction with RW is very important for organizations to increase employee commitment and motivation. Therefore, the main objective of this study was to identify and prioritize the factors affecting employee satisfaction with RW using an innovative method. Method: In the first phase of this study, a conceptual research model was designed inspired by literature. In the next phase, the proposed conceptual model of this re-search was tested using structural equation modeling (SEM). Then, using the artifi-cial neural network model, the importance of each of the model variables in pre-dicting employee satisfaction with RW was identified. Results: The findings of this article ultimately disclosed that work-life balance, in-stitutional and technological support, job satisfaction, and perceived limited com-munication are, respectively, are elements that affect employee satisfaction with RW. The first three factors are drivers of employee satisfaction and the last factor (i.e., perceived limited communication) is the constraint of employee satisfaction with RW because it had a statistically significant negative effect on employee satis-faction with RW. Conclusion: This study revealed that organizations should focus on the processes and strategies to improve employees’ work-life balance, provide institutional and technological support during remote work, and increase job satisfaction in order to increase the satisfaction level of their employees in the remote work. On the other hand, it was found that perceived limited communication is an effective factor that causes a decrease in the level of satisfaction of employees in remote work.
Background: Organisations in the contemporary workplace lack meaningful work and life, resulting in psychological and physical pain for workers. Employees seek organisations that align their daily work activities with society. Partially limited research exists on the relationship between corporate social responsibility (CSR) and employee work-related attitudes, especially with the mediating mechanism of employee work meaningfulness (EWM) and organisation identification (OID) in developing country contexts such as Pakistan. This study has used Social Learning Theory (SLT) and Social Identification Theory (SIT).
Methods: Data were collected through a sample of 154 employees in two waves from multiple sectors in Karachi, Pakistan, using non-probability, purposive sampling. The PLS-SEM, along with IBM-SPSS, was run for data analysis. Results: The results demonstrated that Corporate social responsibility (CSR) has a significant positive relationship with employee work-related attitudes. CSR affects organisational citizenship behaviour (OCB) and pro-environmental behaviours (PEB) through the mediation mechanism of employee work meaningfulness (EWM) and organisational identification (OID). Conclusion: This study contributes to the nascent literature by establishing that EWM and OID mediate the effect of CSR on OCB and PEB. Furthermore, this study utilizes two primary theoretical lenses and provides a novel contribution to the current literature. Finally, this study provides valuable insights to policymakers, businesses, and society.
Keywords: Work-Related Attitudes, Corporate Social Responsibility (CSR), Employee Work Meaningfulness (EWM), Organisational Citizenship Behaviour (OCB), Pro-Environmental Behaviours (PEB)
Background/Purpose: Quality within a healthcare system does not comprise only actions defined through certificates or required by law, standards and protocols; it is also defined by the well-being of healthcare workers on the one hand and patients on the other. The purpose paper is to analyse the link between the engagement of nurses and factors related to enhancing patient quality and safety. Methods: The research involved 206 nursing employees from Slovenia’s general hospitals. The questionnaire consists of four sections: employee engagement, the measure of self-efficacy, statements referring to various tools and methods that are used in nursing in daily work and that contribute to the quality of work, interpersonal relationships in the workplace between different professional groups within medical treatment, and attitude towards changes. Results: Compared to other professions, nursing employees showed an above-average level of engagement. Younger respondents were more engaged in their work, and their self-efficacy level was higher. The frequency of using tools intended to enhance the quality of nursing correlates statistically typically and positively with self-efficacy, engagement and willingness to accept change. The analysed factors are interdependent. Engagement results from workplace interactions; employees who feel better in their workplace will be more oriented towards the future, be more open to innovation, and use various tools and approaches to enhance the work’s quality. Conclusion: Analysed concepts are closely connected and interdependent. The findings are essential for the successful and efficient management of hospitals and for ensuring patient quality and safety.
Background/Purpose: This study aims to provide a practical perspective on how data mining techniques are used in the home appliance after-sales services. Study investigates on how can a recommendation system help a customer service company that plans to use data mining to improve decision making during its digital transformation process. In addition, study provides a detailed outline on the process for developing and analyzing platforms to improve data analytics for such companies.
Methodology: Case study approach is used for evaluating the usability of recommendation systems based on data mining approach in the context of home appliance after-sales services. We selected the latest platforms based on their relevance to the recommender system and their applicability to the functionality of the data mining system as trends in the system design. Results: Evaluation of the impact on decision making shows how the application of data mining techniques in organizations can increase efficiency. Evaluation of the time taken to resolve the complaint, as a key attribute of service quality that affects customer satisfaction, and the positive results achieved by the recommendation system are presented. Conclusion: This paper increases the understanding of the benefits of the data mining approach in the context of recommender systems. The benefits of data mining, an important component of advanced analytics, lead to an increase in business productivity through predictive analytics. For future research, other attributes or factors useful for the recommender systems can be considered to improve the quality of the results. Acknowledgement: The author Hyrmet Mydyti’s PhD thesis has been extended in this paper.
Keywords: Digital transformation, Data mining, Decision tree algorithm, Decision-making, Home appliances after-sales services
Purpose: The current paper investigates the role of spiritual leadership in increasing employees’ voluntary eco-friendly behavior. This research emphasizes the value of a harmonious green passion (HGP) and connectedness to nature (CTN) as a mediating factor between a spiritual leader (SL) and an employee’s voluntary eco-friendly behavior (VEB). Design/Methodology: The data was provided by a sample of 273 participants who worked as hotel employees in Yogyakarta’s four and five-star hotels. SPSS and AMOS 25 were used as statistical programs to analyze the data. Findings: Based on the discovery, the study presents strong theoretical and managerial implications that hospitality institutions can use to evaluate the importance of spiritual leaders on employees’ eco-friendly behavior among employees. We also discovered that indirect associations between spiritual leadership and employee voluntary eco-friendly behavior exist via connectedness to nature and harmonious green passion. Practical Implication: By shedding further light on how and when a spiritual leader influences employees’ voluntary eco-friendly behavioral intention in hotels, this research added to the body of knowledge on the hospitality industry in South East Asia. Originality: The study offers novelty by emphasizing the function of connectedness to nature and harmonious green passion in the relationship between spiritual leadership and employees’ eco-friendly behavior. Keywords: Spiritual, Leadership, Eco-Friendly, Nature, Harmonious, Passion, Connectedness
