SEISENSE Journal of Management 2022-05-21T08:37:35+03:00 Dr. Nadeem Akhtar Open Journal Systems <div style="max-width: 680px;"> <p style="text-align: justify;">SEISENSE Journal of Management (SJOM) publishes research articles in the field of business strategy &amp; policy, Organizational behavior, Human resource management, Organizational theory, Entrepreneurship, Innovation &amp; Technology Management, Tourism Management, and Business Finance</p> <p><strong>Editor in Chief:</strong> Dr. Muhammad Azeem Qureshi<br /><strong>Access policy: </strong>Open access<strong><br />Review Policy: </strong>Double-blind peer review<strong><br />Frequency: </strong>Publish continuously<strong><br />Publication fee: </strong>Free<br /><strong>Google Scholar h5-index:</strong> <a href=";view_op=list_hcore&amp;venue=czJrqWkfKPkJ.2021" target="_blank" rel="noopener">11</a></p> <p><a class="btn btn-outline-primary journal-description-button" href="">More info</a></p> <p><a class="btn btn-outline-primary journal-description-button-submit" href="">Submit paper</a></p> </div> Does Environmental Knowledge Matter? Social Influence and Pro-Environmental Behavior in University Students: An Indirect Effect Model 2022-01-14T09:29:42+03:00 Gabriel Simiyu Valentine Kariuki Mwengei Ombaba Robert Otuya <p>Purpose- This study aims to provide an analytical framework that focuses on environmental knowledge as a mechanism through which social influence enhances pro-environmental behavior among university students.</p> <p>Design/Methodology- The research employed quantitative strategy, cross-sectional survey design, and systematic random sampling techniques to obtain data from a sample of 335 university students using a structured self-administered questionnaire. The study hypotheses were tested using Hayes Process Macro vs. 3.5 (Model 4).</p> <p>Findings- Results indicate that social influence strongly impacts students’ environmental knowledge, and both variables significantly predict pro-environmental behavior. Environmental knowledge was discovered to be the strongest predictor of pro-environmental behavior among students. Finally, results show that environmental knowledge mediates the relationship between social influence and pro-environmental behavior, revealing a complimentary mediation model superior to the direct effect model.</p> <p>Originality- These findings reveal that social influence and students’ environmental knowledge have a strong influence in cultivating students’ pro-environmental behavior. Furthermore, the complementary mediation model, which shows superior results than the direct effect model, contributes to the body of knowledge and offers new insights into theory and practice.</p> <p>Practical Implications- Environmental sustainability may be positioned as a social trend by government and business agencies, such as a promotional campaign, workshops, and training to demonstrate and raise awareness about environmental issues.</p> 2022-01-01T00:00:00+03:00 Copyright (c) 2022 Gabriel Simiyu, Valentine Kariuki, Mwengei Ombaba, Robert Otuya Job Insecurity and Turnover Intentions among Banking Sector Employees: The Moderating Role of Organizational Support and Ethical Leadership 2022-01-14T09:29:39+03:00 Prince Addai Rejoice Mottey Michelle Afrifah Augustine Osei Boakye <p>Purpose - Job insecurity exerts a significant impact on turnover intentions among employees. The association may be partly due to the influence of organizational support and the ethicality of leaders. However, there is a shortage of studies on the ameliorating role of organizational support and ethical leadership in the nexus between job insecurity and turnover intentions. Thus, the purpose of this study is to examine the nexus between job insecurity and turnover intentions among banking sector employees. The moderating role of organizational support and ethical leadership on the underlying relationship was assessed to achieve this.</p> <p>Design/methodology/approach – One hundred and sixty (160) banking sector employees were conveniently selected to participate in the study. The sample consisted of female (n = 92) and male (n = 68) employees, ranging from 23 to 49 years. Standardized measures were used in soliciting respondents' demographic characteristics, perceived job insecurity, ethical leadership, organizational support, and turnover intentions. Data were analyzed using regression analysis.</p> <p>Findings – Results revealed a significant positive correlation between perceived job insecurity and turnover intentions. Organizational support and ethical leadership also moderated the association between job insecurity and turnover intentions. The influence of job insecurity on turnover intentions minimizes when management provides the needed support and favorable climatic conditions.</p> <p>Originality/value – In general, the study highlights the importance of organizational support and ethical leadership in lessening the impact of job insecurity on turnover intentions.</p> 2022-01-01T00:00:00+03:00 Copyright (c) 2022 Prince Addai, Rejoice Mottey, Michelle Afrifah, Augustine Osei Boakye Technostress and Telecommuting in the Context of Covid-19: Evidence from Cambodia’s Higher Education Institutes 2022-05-21T08:37:35+03:00 Romny Ly Bora Ly <p class="14-SJOMAbstractRight">Closures of educational establishments owing to the COVID-19 pandemic have impacted individuals globally. Educational organizations of all levels have been compelled to use online instruction because comprehensive safety precautions have been taken to minimize the spread of disease during the COVID-19 contagion, which has increased technostress. Both public and private organizations utilized these strategies, allowing the individual to work virtually.</p> <p class="14-SJOMAbstractRight">Purpose- This work examines the association between the perceived technostress attributes and instructors in Cambodian academic institutions during the COVID-19 pandemic.</p> <p class="14-SJOMAbstractRight">Design/Methodology- It used a quantitative method and constructed a research instrument to examine (340 participants) of public and private instructors service during the outbreak. Additionally, the data was collected and analyzed using structural equation modeling (SEM).</p> <p class="14-SJOMAbstractRight">Findings- The study revealed that technostress had a substantial effect on the gender, age, and working experience of educators. Hence, given the rapid evolution of ICT trends, it is appropriate to design practical training and wellness programs to alleviate technostress and foster a sense of technological competence and personal relevance.</p> 2022-05-20T00:00:00+03:00 Copyright (c) 2022 Romny Ly, Bora Ly On Exports and Economic Growth: Revisiting Export-Led Growth Hypothesis Including North-South Divide 2022-01-13T09:54:22+03:00 Suraj Sharma <p>Objective: The purpose of the present study is to revisit the export-led growth hypothesis in the wake of globalization. This will help in trade policy decisions and make it possible to standpoint whether the export promotion is a good idea to accelerate economic growth. </p> <p>Design: The ELG hypothesis is examined for 107 countries through panel data analysis using cointegration and panel regression tests from 1990 to 2018. The study finds strong support for the long-run relationship between exports and gross domestic product and the export-led growth hypothesis in a two-variable regression framework.</p> <p>Findings: It is evident from the long-run coefficient of dynamic ordinary least squared that a 1.0 percent increase in real exports increases the real gross domestic product by 0.53 percent. The long-run coefficient of real exports for the Global South (0.55) is found higher than that of the Global North (0.51), which indicates that in the wave of globalization, the evidence of export-led growth hypothesis is stronger for comparatively poor Global South than the richer Global North.</p> <p>Practical Implications: The results indicate implications for export promotion policy in the Global South countries to accelerate economic growth and increase real gross domestic product.</p> <p>Originality: The study is the first to explore the ELG hypothesis using a big pool of 107 countries, including the global north-south divide.</p> 2022-01-13T00:00:00+03:00 Copyright (c) 2022 Dr. Suraj Sharma A Review of Machine Learning Applications for Credit Card Fraud Detection with A Case study 2022-02-17T17:50:56+03:00 Zahra Faraji <p>Purpose - This paper aims to highlight the widely used supervised techniques applied for fraud detection. In addition, this paper aims to apply some techniques to evaluate their performance on real-world data and develop an ensemble model as a potential solution for this problem.</p> <p>Design/Methodology- Different techniques applied in this study for fraud detection purposes are logistic regression, decision tree, random forest, KNN, and XGBoost. The confusion matrix gives information about the assignment of inputs to the different classes. This study uses precision and recall to evaluate the performance, calculated based on the confusion matrix.</p> <p>Findings- XGBoost is the fastest and is expected to have the best performance; however, it is only outperforming the random forest in terms of accuracy, precision, recall, and f1-score. In general, the KNN and logistic regression have better performance, which means they better detect fraudulent transactions.</p> <p>Practical Implications- The new model can be applied to new data instead of the previous techniques.</p> 2022-02-15T00:00:00+03:00 Copyright (c) 2022 Zahra Faraji