Journal of Information and Organizational Sciences (JIOS)
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Integration Model of Academic Information Systems and Learning Management Systems with REST Web Services Using External Databases
No full textICT products like Academic Information Systems (AIS) and LMS are commonly utilized in Indonesian universities. These two ICT tools will be of tremendous use to higher education institutions in managing their academic business procedures. The two systems are still not connected in many higher institutions, nevertheless, for example when it comes to handling academic data. If the management and integration process is carried out conventionally, it will be challenging and inefficient due to the massive volume of data and complexity of these two systems. Observing these issues, the researcher plans to study the two REST-based Web Service systems' connection and make use of the External Database functionality, which will be utilized to synchronize data in real-time from AIS to E-Learning. It is hoped that the integration model resulting from research can be a solution for integration between AIS and LMS and can be implemented in many higher education institutions
Optimization of the results of a multilingual search engine using a fuzzy recommendation approach
No full textSearch engines are now the main source for information retrieval due to the huge expansion of data on the internet over the last ten years. Providing users with the most relevant results for their queries poses a significant challenge for search engines. Semantic search engines, which go beyond traditional keyword-based searches, have appeared as advanced information retrieval systems to address this problem. These search engines produce more precise and pertinent search results because they understand the meanings of words and their relationships. They play a pivotal role in managing the vast amount of internet data, with a primary aim of enhancing search precision and user satisfaction. However, improving search precision remains as an important goal for natural language processing researchers. The main objective of our research is to improve the search engine results. We present a novel approach for measuring the similarity between a user’s query and a list of documents within a search engine. This approach provides a new fuzzy recommendation system using a syntactic and semantic similarity. Our results indicate that our method outperforms several existing approaches from the literature, achieving a high level of accuracy
Measuring Customer Satisfaction Using Multi-Criteria Analysis Model of Customer Satisfaction to Evaluate Product Lines (Case Study: Kaveh Glass Industrial Group)
No full textToday, customer retention and growth is the first goal. Companies have taken a heavy toll on each customer, and competitors are constantly seeking to steal them. Satisfied customers have many benefits for the company, they are less sensitive to prices, will be a customer for a long period of time, and give a favorable view of the company and its products and services to others. Paying attention to the factors that are less important from the customer's point of view and evaluating these factors leads to spending resources in areas that have less impact on customer behavior, so understanding the factors that have the greatest impact on customer satisfaction to the organization to move in this will help. In this study, we intend to use the operational data of the lines and customer satisfaction scales to evaluate the relative efficiency of product lines using the network data envelopment analysis method. In order to achieve this goal and quantify the data obtained from the questionnaire, another linear programming method called multi-criteria satisfaction analysis will be used. Another innovation of this research is the application of customer expectations in the data envelopment analysis mole because most researchers that focus on quality do not consider this component in their evaluation model. The results indicate that the distribution system is the most effective factor and resources and supply is the most effective factor affecting customer satisfaction
The Impact of Transformation in Higher Education: Introductory of New Technology, Is It Good or Bad?
No full textThis study examines the impact of transformation in higher education, in particular on the introduction of new technology to students in Malaysia. This study is unique as it focuses on usage and technology resistance. Another uniqueness of the study is that technology resistance is measured by non-technology and post-technology antecedents, which have yet to be discovered by existing studies. These factors could potentially influence students to refrain from using technology in their studies, as many previous studies only focus on usage. Furthermore, prior research should have classified different types of resistance that cause significant knowledge gaps in technology education. A survey of 156 respondents concluded that antecedents of non-technology usage do lead to resistance. Post-technology usage, similarly, does influence resistance. As expected, the usage of technology influenced students' performances. Finally, resistance to technology did not affect students' performance. This is likely the first study to examine the impact of transformation in education and classify the antecedents of technology resistance into two categories: non-technology usage and post-technology usage. This research will help policymakers understand how students react to educational transformations. Adding technology could improve how well students do in university, but it could also hurt how well they do in university
Towards Detecting Influential Members and Critical Topics from Dark Web Forums: A Data Mining Approach
No full textConventionally, the Internet consists of three parts: Surface, Deep, and Dark Webs. In the last two decades, a massive increase in illicit activities took place on the different platforms of the Dark Web. Moreover, social networks on Dark Web implicate extremism dissemination on a wide scale. In this paper, we propose an approach to generate textual patterns from discussions on Dark Web terrorist forums employing Data Mining techniques. The discovered patterns help identify the influential members and extract critical topics. We describe our system modules that perform data preprocessing, text preprocessing with TF-IDF weighting, outlier detection, clustering evaluation, clustering, and clustering validation, implemented with the RapidMiner tool. We apply K-Means as the Clustering method with different distance metrics, evaluate the clustering process using Elbow and Silhouette methods, and validate it using Davies-Bouldin Index. Furthermore, we investigate the effects of altering the distance metrics for outlier detection on the Clustering results
The Influence of Digital Maturity, Competitive Priorities and Decision-making Styles on the Acceptance of Digital Technologies in Micro and Small Organizations
No full textThe subject of this research is to determine the level of digital technology acceptance in micro and small organizations. There is a lack of research in the existing literature that would move away from existing models and theories and explain the reasons for digital technology acceptance by micro and small organizations. It was noticed that research on the intention to accept digital technologies in micro and small organizations needs to focus on moderating factors, the influence of which has been neglected in existing research.
For this reason, a model for digital technology acceptance by micro and small organizations was created, which explored the effect of moderating factors and encompassed the key characteristics of micro and small organizations. The effect of perceived financial risk, perceived security risk, perceived loss of time, perceived government pressure, and the level of knowledge of decision-makers on the intention to accept digital technologies are examined. As well the relationship between external pressure (market participants' pressure and crisis circumstances) and the level of knowledge of decision-makers in organizations was explored.
The focus of the research is to explore the moderating effect of the organization's digital maturity and competitive priorities on the relationship of factors (perceived security risk, perceived loss of time, perceived government pressure) and intent to accept digital technologies. The moderating effect of the decision-makers decision-making style on the relationship between external pressure (market participants' pressure and crisis circumstances) and the level of knowledge of decision-makers are explored as well
The Fundamentals of Metaverse: A Review on Types, Components and Opportunities
No full textThe word metaverse is resurfacing and becoming viral after Facebook changed its company name to Meta. A lot of opportunities are offered by the rise of metaverse concept. For example, a library can be presented in the form of metaverse so that visitors do not need to come physically. Metaverse means beyond the universe or in this case beyond our universe. Companies around the world including Microsoft, Facebook, Epic Games, Apple, and Nvidia already invested in the metaverse as a business opportunity, and the top 3 business sectors are technology, education, and finance. Most companies also believe there are many benefits of the metaverse that can overcome the current obstacles om this universe, such as removing the physical limitation to do various activities. This paper will give a fundamental understanding of the metaverse and the opportunity of the metaverse in practice and research in the future. The result of this paper can be a guide for any scholars and practitioners to understand the metaverse starting from the definition to the things that are related to the metaverse
Marketing Strategy as Driving Force of Export Performance Small and Medium Enterprises - Case of Kosova
No full textKosovo’s private sector business is led by small and medium enterprises and shows a crucial role in the economic development and promoting the growth of this sector. Due to the lack of studies in Kosova, related to marketing strategy and export performance, the research aims to explore growth determinants of SMEs in Kosovo by emphasizing exports, revealing the importance of marketing strategy related to the performance of SMEs. Since exporting is becoming more important, it is necessary to understand all the factors that are involved in this booming trade. This research analyses explore the literature dealing with small and medium enterprises' performance to inspect the traditional and modern academic standpoints on estimating the impact of export performance, based on secondary data of five hundred small and medium enterprises, as trade, manufacturing, and services sectors in Kosovo. The data were analysed using both descriptive statistics and inferential techniques, such as logistic regression analysis, and probit model using the SPSS software. Results show a significant linkage of marketing strategy and export performance; managers and policymakers can take some action to improve export performance. On the other hand, the results measure the impact of price, production, promotion and place in export performance incorporate expected future performance. It is argued that enterprises in Kosovo must pay more attention to strategies, and attempt to design and implement better strategies that will be beneficial for developing international trade, especially exports, as one way of trading by SMEs
The Role of Internal Human Resource Orchestration on Firm Performance
No full textThe purpose of this research is to measure the mediating role of teamwork and participation (T&P) on the relationship between two human resource (HR) practices – “training and development” (T&D) and “performance appraisal” (PA) – and operational performance (OP). Employing the contingency approach, this study develops a research model that validates the assumption that appropriate internal orchestration of HR practices improves firm performance. Using AMOS, data from 157 manufacturing firms are analyzed through structural equation modeling (SEM). The results show that T&P fully mediates the relationship between T&D and OP, and partially mediates the relationship between PA and OP. This study, which provides empirical support for the importance of OP to firm effectiveness, finds that OP is positively related to financial performance (FP). The study develops a theoretical logic and empirically demonstrates that T&P is an appropriate practice for mediating the impact of T&D and PA on OP. The inclusion of T&P contributes to the theory and shows that appropriate internal orchestration of HR practices can realize effective OP and consequently greater FP of the firm
A Study on Petri Net Supporting Tools for System Modeling and Analysis
No full textWithin this work we analyze and compare ten Petri net supporting tools for system modeling and analysis. A short summary of several available overviews of Petri net tools is performed before the tools analysis itself to evaluate the current state in this field. Principal parts of the paper are focused on analysis and evaluation of the selected tools. We provide detailed and practical description of selection of up to date tools, their evaluation based on various criteria, and recommendations for several use cases