Journal of Information and Organizational Sciences (JIOS)
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Towards an Improved Framework for E-Risk Management for Digital Financial Services (DFS) in Ugandan Banks: A Case of Bank of Africa (Uganda) Limited.
No full textOne of the predominant challenges facing banks in low resource countries is the management of Digital Financial Services (DFS) risks. Many banks are making worthwhile efforts to boost the factors that make them come on top of the challenges, unfortunately they have fallen short. This article sought to develop an e-risk management framework for DFS in Ugandan banks. Design Science Research paradigm, a mono-method qualitative research method and a case study research strategy was adopted. Questionnaires, interviews and document review were the main data collection methods. Findings from this study indicate that banks in Uganda use a handful of DFS business models and face a number of DFS risks including; talent for DFS, technology, strategy, governance, product, client acquisition, crime/fraud, regulation, and agent management among others. Notwithstanding, Ugandan banks should carefully balance IT spend across customer expectations, improve cybersecurity and internal process and regularly check its IT security
The Role of Human Resource Policies on Work Life Balance Among Information Technology Sector of Women Professionals
No full textWork life balance is the relationship between, how much time and effort someone spends to work and how much time and effort spend to other elements of their life, such as family, children, friends etc., HR policies are the organization’s continuing guidelines for managing its employees. As in this study, it mainly focuses on what are all roles played by the human resource department on balancing work and life in the Information Technology sector of women professionals. For this research, descriptive research was done with a sample of 200 women professionals from selected IT companies in Chennai using simple random sampling technique. The questionnaire was created using the independent variable of HR policies on work life balance and mediator of continuance commitment with a dependent variable of work life balance. The statistical tools used in this study are CFA, Discriminant validity and Composite reliability with the assistance of SPSS and AMOS software. The research found that, all the item used in the study are reflect a good measure of the variables
Scientific Mapping of Social Accounting using Research Indexed in Scientific Databases
No full textScientometrics is one of the most important scales for evaluating scientific outputs. Co-word and social network analysis (SNA) were used to investigate relationships in the field of social accounting researches indexed on Scopus. The findings of the study indicate that the most frequent topics and vocabulary in this area is economic analysis, economic and social effects. Moreover, the most valuable subject areas were identified: based on closeness, they are water resources, tourism economics and structural adjustment. Based on centrality, economic impact, economic analysis, environmental economics and income distribution. The results of the study indicate that many important social and environmental issues can be assessed through social accounting. Co-authorship analysis revealed that the co-authorship network in this domain was discrete and with low density. By utilizing the co-occurrence map, researchers and policymakers can make policy making more effective through being aware of the research trends and hot topics in social accounting
From the Editor
No full textDear readers,
Journal of Information and Organizational Sciences again brings high-quality scientific papers from the wide scope of topics of information sciences and management, whose authors are from different countries around the world.
This issue brings fourteen papers – twelve original scientific papers, one preliminary communication, and one survey paper. Authors come from Africa, Asia, and Europe.
All this diversity makes, in my opinion, the issue interesting to a wide scope of readers, too. Therefore, I hope that our readers will find interesting ideas and scientific results, and help them in their own research.
Alen LovrenčićEdito
Predicting Customer Churn on OTT Platforms: Customers with Subscription of Multiple Service Providers
No full text No industry can thrive without customers and with customers comes the chances of customer churn. Since customer churn have direct-impact on the revenue, all the industries are focusing in understanding the factors influencing churn and are developing methods to predict the customer churn effectively. Today, never as before, customers have wide variety of options to choose between any service or product. In addition, nowadays customers enjoy multiple subscriptions of service providers across sectors. In this study we aim to identify: i) Factors influencing customer churn on OTT platform, and ii) Predict customer churn on OTT platform. The data for this study is collected from 317 respondents, using questionnaire method, who have multiple OTT platform subscription. The questionnaire data contains 19 items which includes demographic features, usage of OTG platform, and user contentment factors about OTT service. We have identified factors influencing customer churn in Over-The-Top (OTT) platform by combining Recursive Feature Elimination (RFE), Linear Regression, and Ridge Regression feature ranking methods. We have used Hierarchical Logistic Regression, to understand impact of two newly introduced factors namely 'Multiple Subscription' and 'Switching Frequency' on the overall performance of the customer churn prediction. Finally, customer churn prediction is done using Decision Tree, Random Forest, AdaBoost, and Gradient boosting techniques. We found that random forest method gives better prediction results
From the Editor
No full textDear readers,
Again, in this issue we are bringing twelve scientific papers from the wide field of information and communication sciences – four preliminary communications, three survey papers, and five original scientific papers, authors of which are from Europe, Africa, and Asia.
We are trying to keep and improve the high quality of the review process, resulting in the high quality of the papers on different topics of information and communication sciences, making the Journal interesting for a wide range of scientists from the field.
I hope that you will find the papers published in this issue interesting and inspiring for your own research.
Edito
Effects of Customer Experience in Post-purchase Behavior: Evidence From Library Service in Vietnam
No full textVietnamese universities are progressing remarkably in the list of top universities in the world. In order to obtain this achievement, Vietnamese universities have focused on improving lecturers’ capabilities, infrastructure, academic training and research quality… In the context of education in Vietnam, library service is an important factor which contributes to ranking index, attracts new enrollments and differentiates from other institutions. To find the best way to enhance students’ post-purchase behaviours, the study examined students’ experience factors that significantly affect post-purchase behaviours by proposing an analytical framework adopted from EXQ model. Data collected from 570 students studying in Vietnamese universities were analysed through structural equation modelling (SEM). The results show that post-purchase experience has a positive impact on students’ satisfaction, loyalty and word of mouth. By emphasizing the role of student experience, this study provides valuable managerial implications and contributes to the literature by suggesting a new analytical framework for measuring customer experience and post-purchase customer behaviour in the library service
Student Orientation Recommender System using TOPSIS and AHP
No full text The process of traditional school guidance is carried out by specialists. They make a study of the student files based on the marks of the first year and the second year of the baccalaureate. Considering the progressive number of students and also the lack of time to make the decision, as the selection of the specialty has a great effect on the academic course of the students, we have realized a system of specialty recommendation, to computerize the orientation process and save time. But the major problem is that the students do not care about this process and pay no attention to it despite its importance. As well as the software which makes the orientation is chargeable. To order these specialties to take the best specialty. We have arrived at a problem of multi-criteria which makes it impossible to make a decision with these criteria. Because these criteria do not have the same importance and also are notcompatible, as there are criteria that must be maximum and other criteria must be minimal. To solve this problem, two systems of orientation and academic reorientation of students have been implemented. In both systems, the SMOTE method has been used to balance the learning data in the preprocessing phase. Then in the treatment phase, we sorted the specialties using in the first system, a hybridization of TOPSIS method and the information gain to find the weights of the criteria used, and in the second system, we used a hybridization of the AHP method and information gain. The results obtained indicate that before balancing data using the SMOTE method, the total accuracy of TOPSIS (84.20%) is higher than the total accuracy of AHP (83.71%). After applying balancing data using the SMOTE method, the total accuracy has increased. The total accuracy of TOPSIS (91.35%) is also higher than the total accuracy of AHP (90.83%). For the complexity of the two methods, it is related to the number of criteria and the number of alternatives. If thenumber of criteria is more than 10 criteria, the complexity of TOPSIS is less than the complexity of AHP, and vice versa. The complexity of the two methods also depends on the number of alternatives, if the number of alternatives exceeds 10, the TOPSIS method becomes more complex than the AHP method. In general, the system based on TOPSIS method and the information gain is more precise than the system based on the AHP method and the information gain. But the complexity of the AHP method is less than the complexity of the TOPSIS method
Croatian Journals Covered by SCIE/SSCI: the Story from the Periphery
No full textThe study analysed Croatian journals covered by Web of Science (WoS) Science Citation Index Expanded (SCIE) and Social Science Citation Index (SSCI) over three time periods. The first two periods were the periods of inclusion of Croatian journals in SCIE/SSCI, and the third period was the period of exclusion of journals. In 1999, there were 12 Croatian journals indexed, and in 2011, mostly as a result of the WoS Regional Expansion Programme, there were 50 Croatian journals covered by SCIE/SSCI. The IF range of the Croatian journals showed an increase over the years from 1999 to 2011, but most journals remained in the fourth quartile (Q4). Although Croatia is considered as a country from the scientific periphery, in comparison with neighbouring Italy, Hungary, Slovenia, and Serbia in 2005, 2011, and 2018, Croatia had a permanently strong journal representation in JCR
Employing a Time Series Forecasting Model for Tourism Demand Using ANFIS
No full textForecasting the future trends is of utmost importance for managers and decision makers in different sectors. Scholars thus have introduced various techniques to the service industry aiming at employing a prediction model with ultimate accuracy and high efficiency. The literature proves that adaptive neuro-fuzzy inference systems (ANFIS) are the most efficiency models. However, the literature lacks reports on how ANFIS parameters may affect the accuracy of the system. Employing tourist arrival records to Cyprus between 2015 and 2019, this study has developed an ANFIS system to evaluate the accuracy performance of different prediction models with varied number of inputs and number or type of membership functions. Results show that the forecasting accuracy of a model with four inputs and four membership functions when the type of membership functions is Gaussian is relatively better than other models. In other words, it can be concluded that the forecast model with four inputs and four Gaussian membership functions is ultimate with the most accurate prediction record with reference to MAE, RMSE, and MAPE. The results of this study may be significant for senior managers and decision-makers of the tourism industry