Journal of Information and Organizational Sciences (JIOS)
Not a member yet
    455 research outputs found

    Associating Time Devoted to Online Gaming with Subjective Well-being, Emotional States and Affective Schedules

    No full text
    Online gaming is one of the most popular students’ activities associated with various aspects of their experience and behavior. This paper aims to investigate the frequency of online gaming among students and determine the association among the frequency of online gaming, emotional states, and affective schedules. The sample included 1000 undergraduate and graduate students at the University of Zagreb, studying in different science fields. The average age of the respondents was 23. The self-evaluation of time that students devote to online gaming was conducted in accordance with time categories expressed in hours devoted to online gaming. The subjective well-being was based on the self-assessment of life satisfaction questionnaire, the assessment of the frequency and intensity of unpleasant emotional state on DASS-21 questionnaire and a measure of the assessment of positive and negative affect on PANAS (Positive-PA and Negative-NA affective Schedule. The results confirm that students who are excessively involved in online gaming are less satisfied with their lives, assess unpleasant affective experience more intensively and pleasant affective experience less, compared to students who are less frequently involved in online gaming. Female students assess unpleasant emotional states of anxiety, depression, and stress more intensively than male students. Furthermore, female students assess unpleasant and pleasant affective experience more intensively than male students. These results can be applied to provide suggestions on what optimum time devoted to online gaming compared to other activities would be

    From the Editor

    No full text
    Dear readers, I had the pleasure of preparing the articles published in the Journal of Information and Organizational Sciences in the last four years. This is my issue, and I want to thank all who helped, every one in its way, the Journal to prosper. Firstly, I want to thank the authors who recognized JIOS as a decent journal adequate to publish their paper. Thanks to all the reviewers who helped me to classify received papers and raise the quality of the journal. Many of them were members of the editorial board which I want to address my thanks, too. The advisory board helped me to widen the pull of reviewers. At the end, I want to thank members of the publishing board who invested their time and work to improve the design of the journal and web page, and made it visible through the different journal bases. In the next issue, the function of the editor will be taken by Prof. Igor Balaban. I am sure that the Journal will become much better under his leadership. I wish good luck and pleasant work on our Journal to him and his team. Alen Lovrenči

    Entrepreneur’s strategy leveraged and monitored by the interrelation of ERP and BSC

    No full text
    Nowadays business operates in a turbulent environment, demanding quality products at low cost in short delivery times. Bearing this in mind, entrepreneurs devote special attention to define strategies, monitor entrepreneurial indicators and recruiting qualified employees. In this sense, organizations need to rely on an efficient measurement system with vast and complex information. Considering this need, the Balanced Scorecard (BSC) embraces a short-, medium- and long-term time horizon and guides entrepreneurs in the measurement of their Key Performance Indicators (KPI), as acknowledged by the well-known company like Apple, which is using BSC for planning and performance measurement. Furthermore, as the KPIs need to reflect organisational performance, the interconnection of BSC with SAP Enterprise Resource Planning (ERP) is considered of benefit. By means of this interlinkage, performance is monitored in an integrated way, as the flow of material and information of the whole chain is integrated and interlinked via ERP. Stressing out that several BSC implementations have failed, this research, intends to detail how ERP implementation can leverage the BSC’s features, namely to monitor entrepreneur’s strategy. As several studies have focused their attention in an isolated way and several BSC implementations failed, this research sheds light on entrepreneur’s strategy leveraged and monitored by the interrelation of ERP and BSC

    Cover Pages

    No full text
    Here you can download journal cover pages

    Behavioral Biases in Investment Decisions: An Extensive Literature Review and Pathways for Future Research

    No full text
    In the realm of investment decisions, the influence of behavioral biases has emerged as a captivating area of exploration. This article embarks on a comprehensive journey through the landscape of behavioral biases in investment choices, delving into their profound impact on financial markets. Contrary to traditional finance theories assuming rationality, a multitude of empirical evidence attests to the pervasive effects of cognitive and emotional biases. Through an extensive literature review, this article elucidates the intricacies of key biases such as overconfidence, loss aversion, anchoring, confirmation bias, herding behavior, disposition effect, framing effects, and regret aversion. By examining the distinct ways these biases distort investors' judgment and decision-making processes, we unveil the often unexpected deviations from rationality. Each bias, rooted in human psychology, can lead to suboptimal investment behaviors, portfolio misalignments, and heightened market volatility. However, recognizing the impact of these biases provides opportunities for transformative insights. As investment professionals, policymakers, and individuals alike comprehend the subtle nuances of behavioral biases, tailored interventions, educational initiatives, and adaptive strategies can be devised to mitigate their adverse effects. This article not only synthesizes the prevailing research but also charts a course for future investigations. The implications of understanding and addressing behavioral biases extend beyond financial realms, offering a bridge between finance and psychology. As interdisciplinary collaboration gains momentum, pathways for future research become evident, beckoning scholars to delve deeper into the uncharted territories of human behavior and its intricate relationship with investment decisions. Through the exploration of these biases and their potential remedies, this article illuminates the evolving landscape of investment decision-making in a world where cognitive fallacies intersect with financial choicest

    The Usage of Clouds in Zero-Trust Security Strategy: An Evolving Paradigm

    No full text
    Zero-trust security is a security model that assumes no entity is implicitly trusted, regardless of its origin or scope of access. This approach requires continuous verification of all users, devices, and applications before granting access to resources. Cloud computing is a model for delivering IT resources and applications as a service over the Internet. Cloud computing offers many benefits, including scalability, agility, and cost savings. However, cloud computing also introduces new security challenges. This paper proposes a survey-based research methodology to evaluate the usage of clouds in zero-trust security strategies. The paper identifies different zero-trust security solutions, their key features, and the benefits and challenges of implementing these solutions in the cloud. The paper will also discuss the costs and benefits of different zero-trust security solutions. The findings of this research will be valuable for organizations that are considering implementing a zero-trust security strategy in the cloud. The paper will provide guidance on how to choose the best zero-trust security solution for organizational needs and how to implement it effectively

    Publication Ethics; List of Reviewers; Instructions for Authors

    No full text
    Full text available in PDF

    Blended Learning in the Spotlight of Educational Management - A Scientometric Analysis

    No full text
    The mass adoption of ICT for online delivery of education due to the COVID-19 pandemic has brought many opportunities but also challenges for the education sector. In this paper, we conducted a scientometric analysis to provide insights into research trends and present bibliometric indicators of 5810 publications on blended learning to contribute to the knowledge base on the use of ICT in education management, during and after the COVID-19 pandemic, from 2020 to 2023. The number of citations and publications increased rapidly. Content analysis of the publications and keyword analysis revealed important and emerging topics such as the challenges and experiences of students, teachers and institutions with blended learning, especially in higher education, from implementation and use to digital literacy, attitudes, performance, self-regulation and learning outcomes. The main journals focused on the use of technology in education and health education. Blended learning has likely moved beyond the pandemic and has become an integral part of management in educational organizations

    The Mediating Role of Organizational Trust in the Effect of Social Sustainability on Organizational Resilience: Insights from the Energy Sector

    No full text
    The purpose of this study is to explore the mediating role of organizational trust in the impact of social sustainability on organizational resilience. Using a sample of 441 employees in the energy sector in Istanbul, a structured questionnaire was applied to measure employees' organizational resilience, organizational trust and perceived social sustainability activities. Data analysis was carried out with SPSS and AMOS 24 programs. Factor analysis and structural equation modeling were used in the study. The data analysis based on path modelling confirms the mediating role of organizational trust in the effect of social sustainability on organizational resilience. The findings show that all social sustainability variables significantly affect all organizational trust dimensions, and organizational trust dimensions significantly affect organizational resilience dimensions. Accordingly, organizational trust dimensions and all social sustainability dimensions have a full mediating variable role in the effect of organizational trust dimensions on organizational resilience dimensions. Future research is important to gain a deeper understanding of the relationships between social sustainability, organizational resilience and organizational trust. In particular, studies in specific sectors or cultural contexts can help us better understand how these relationships may vary and how they may shape organizations' strategies

    Fuzzy rules-based Data Analytics and Machine Learning for Prognosis and Early Diagnosis of Coronary Heart Disease

    No full text
    Globally, cardiovascular diseases stand as the primary cause of mortality. In response to the imperative to enhance operational efficiency and reduce expenses, healthcare organizations are currently undergoing a transformation. The incorporation of analytics into their IT strategy is vital for the successful execution of this transition. The approach involves consolidating data from various sources into a data lake, which is then leveraged with analytical models to revolutionize predictive analytics. The deployment of IoT-based predictive systems is aimed at diminishing mortality rates, particularly in the domain of coronary heart disease prognosis. However, the abundant and diverse nature of data across various disciplines poses significant challenges in terms of data analysis, extraction, management, and configuration within these large-scale data technologies and tools. In this context, a multi-level fuzzy rule generation approach is put forward to identify the characteristics necessary for heart disease prediction. These features are subsequently trained using an optimized recurrent neural network. Medical professionals assess and categorize the features into labeled classes based on the perceived risk. This categorization allows for early diagnosis and prompt treatment. In comparison to conventional systems, the proposed method demonstrates superior performance

    0

    full texts

    455

    metadata records
    Updated in last 30 days.
    Journal of Information and Organizational Sciences (JIOS)
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇