Journal of Information and Organizational Sciences (JIOS)
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The E-Marketing Strategy Process in the Tourism Industry - Case Study Kosovo and Albania
No full textThe E-marketing strategy is developed as a process of several stages that need to be well analyzed and constantly reviewed. The first stage of this process is situational analysis (internal and external factors). The research was focused on identifying internal and external factors. The Delphi technique was used in combination with the AHP method to answer the research questions. The research was conducted in three stages, according to the Delphi technique. In order to process the data in all three phases of the research Excel, SPSS, and the AHP-ON system were used. 36 experts of tourism industry from Kosovo and Albania took part in this study. Ranked based on the signinficance, of all factors and sub-factors the following indicated the highest influence: entrepreneurial attitudes and knowledge, management support, customer and supplier relationships, IT cost, competitor identification, competitor analysis, and innovation. Based on the scientific literature and the primary results, the conclusion and recommendations were drawn and a model was proposed by the author based on the contingency theory and the TEO framework
Application of Fuzzy Set Theory in the Distribution of Information Flows of a Network Information System
No full textThis study's subject represents the processes of functioning of information flows in a network information system through the use of fuzzy sets. It considers the possibilities of fuzzy sets in the information flows distribution problems of the Network Information System by the development of mathematical tools. In the theoretical part of the study, the main issue was the description of the fuzzy approach. In the empirical part of the study, the main concern was finding out the reasons for the fuzzy approach's advantages. The main results of the study: proof of the identity between the functioning of the analytical data; held the solution of the optimization problem based on the formulated analytical models; comparison of the usage of fuzzy logic with a different statistical method; demonstrated the advantage of fuzzy approach in modeling processes network information system. The results can be applied in the field of information systems and technologies
Real Time Web Search Framework for Performing Efficient Retrieval of Data
No full textWith the rapidly growing amount of information on the internet, real-time system is one of the key strategies to cope with the information overload and to help users in finding highly relevant information. Real-time events and domain-specific information are important knowledge base references on the Web that frequently accessed by millions of users. Real-time system is a vital to product and a technique must resolve the context of challenges to be more reliable, e.g. short data life-cycles, heterogeneous user interests, strict time constraints, and context-dependent article relevance. Since real-time data have only a short time to live, real-time models have to be continuously adapted, ensuring that real-time data are always up-to-date. The focal point of this manuscript is for designing a real-time web search approach that aggregates several web search algorithms at query time to tune search results for relevancy. We learn a context-aware delegation algorithm that allows choosing the best real-time algorithms for each query request. The evaluation showed that the proposed approach outperforms the traditional models, in which it allows us to adapt the specific properties of the considered real-time resources. In the experiments, we found that it is highly relevant for most recently searched queries, consistent in its performance, and resilient to the drawbacks faced by other algorithms
Relating Smart Governance as a University Feature to Students’ University Perceptions
No full textFollowing the results of recent studies on the creative use of smart technologies in urban and university settings, there is a growing number of promising research areas under smart university as an umbrella term. Starting from the differentiation between six standard “smart” dimensions in the university, the paper focuses on one smart university feature in particular – it explores the level and the relation of smart governance to the perception of university management, fellow students, and Perceived External Prestige (PEP) as antecedents of university affective commitment. The paper presents the results of a multivariate analysis based on the feedback from over 400 university first-year students. While the effect of Smart governance on the Perception of university management is found to be positive and significant, the effect of Perception of university management on Students' university commitment is low and not significant in the given context
Use of Augmented Reality with Game Elements in Education – Literature Review: Literature Review
No full textThis paper reviews the literature and analyzes the research topics on the use of augmented reality technology in education with possible integration of game elements, in order to obtain a synthesis of previous knowledge related to the topic in the period from 2010 to 2020. Fifty-two papers describing different aspects of augmented reality used in the field of education were selected for the analysis. The main conclusions of the systematization and synthesis were: a) five basic thematic categories were identified; b) 2019 was recognized as the year with the largest publication of papers; c) the use of augmented reality in teaching activities, and especially with game elements, improves student efficiency, stimulates attention and interest, brings improvements in collaboration and perception of fun, improves teaching and learning processes and in general encourages innovation and improvement through educational technology
Inverted Sparse Discriminant Preserving Projection for Face Recognition
No full textImage classification and face recognition has been a popular subject matter for the last several decades. Images are usually handled as transformed as vectors which makes their classification a dimensionality reduction task. Some of the well-known algorithms in the area, such as the Sparsity Preserving Projection (SPP), create new theoretical concepts families, while other successfully modify or combine useful properties of the former ones. Compiled algorithms like Sparse Discriminant Preserving Projections (SDPP) employ the properties of the Sparse Representation (SR) as in their objective functions they include a supervised modification of the sparse weight matrix that considers the intra-class relations. By examining the construction of the SDPP algorithm and by providing some arguments on the supervised SR, in this paper we propose a new subspace learning algorithm, called Inverted Sparse Discriminant Preserving Projection (ISDPP). Likewise SDPP, ISDPP integrates supervised SR with the Fisher’s criterion. In contrast to SDPP, ISDPP incorporates a between-class SR with the Fischer’s within-class scatter matrix. A preliminary round of experiments support the initiative and provide an expectation for possible superior performance of the proposed ISDPP that is confirmed in the next round of empirical examinations
A Complex Adaptive Systems (CAS) Approach to Measuring Organizational Adaptation in Organizations and Investigating its Relationship with R&D Performance
No full textThe aim of this paper is to develop a scale for measuring organizational adaptation and investigating its relationship with R&D performance. For this purpose, the items were developed in accordance with the dimensions of organization design, and the scale was tested first in a pilot study, and after making revisions and modifications, it was employed in the main study on two different samples, one for exploratory factor analysis (EFA), and the other for confirmatory factor analysis (CFA). The final scale consists of 17 items categorized under 4 dimensions labeled as contextual factors, tasks and roles, labor and labor division, and rules and regulations. The results indicate that except for rules and regulations, all dimensions of organizational adaptation bear higher values in high R&D performance cluster. The organizations who enforce adaptation in all the other three dimensions yield more innovation which will help them in their decisions regarding their adaptive responses
Attitudes of Croatian Consumers About Mobile Messenger Chatbots
No full textThis paper aims to investigate Croatian consumers' attitudes about mobile messenger chatbots (MMC) and their propensity to use them. The proposed conceptual model is based on the Technology Acceptance Model (TAM) and Innovation Diffusion Theory (IDT). The research was conducted through an anonymous survey questionnaire available on the social network Facebook. The empirical research results show that perceived usefulness, perceived ease of use, compatibility, and attitude towards mobile advertisements are statistically significantly related to attitude towards mobile messenger chatbots. No negative correlation was found between internet privacy concern and consumer attitudes about mobile messenger chatbots. A positive correlation was found between attitude towards using mobile messenger chatbots and behavioral intention. In addition to the scientific contribution in better predicting chatbots' acceptance as a communication and promotional tool, the research results will also help marketing experts design advertising campaigns via mobile messenger chatbots
From the Editor
No full textDear readers,
The interest in publishing in the Journal of Information and Organizational Sciences increases every year. So, I thank all authors that find our Journal appropriate to submit their papers.
Regardless of the ever-growing number of submitted papers, we are keeping a high level of the review process.
Therefore, I would like to thank our reviewers for the care and expertise they employ in their reviews. This issue contains fourteen scientific papers, eight original scientific papers, four survey papers, and two preliminary communication.
I hope that this issue will not disappoint our readers, for, in my opinion, it contains high-quality and interesting papers from the fields of information science and management
New Synonyms Extraction Model Based on a Novel Terms Weighting Scheme
No full textThe traditional statistical approach in synonyms extraction is time-consuming. It is necessary to develop a new method to improve the efficiency and accuracy. This research presents a new method in synonyms extraction called Noun Based Distinctive Verbs (NBDV) that replaces the traditional tf-idf weighting scheme with a new weighting scheme called the Orbit Weighing Scheme (OWS). The OWS links the nouns to their semantic space by examining the singular verbs in each context. The new method was compared with important models in the field such as the Skip-Gram, the Continuous Bag of Words, and the GloVe model. The NBDV model was manipulated over the Arabic and English languages and the results showed 47% Recall and 51% Precision in the dictionary-based evaluation and 57.5% Precision in the human experts’ evaluation. Comparing with the synonyms extraction based on tf.idf, the NBDV obtained 11% higher recall and 10% higher precision. Regarding the efficiency, we found that on average, the synonyms extraction of a single noun requires the process of 186 verbs and in 63% of the runs; the number of singular verbs was less than 200. It is concluded that the developed method is efficient and processes the single run in linear time