Journal of Information and Organizational Sciences (JIOS)
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Beyond knowledge integration barriers in ERP implementations: An institutional approach
The objective of the article is to go beyond the knowledge integration barriers in ERP implementations by analyzing structural, technological, intellectual and socioemotional barriers that appear during an ERP implementation project. Using an action research methodology, the article provides some hints highlighting the knowledge integration process, and proposing an Institutional Model of ERP Knowledge Integration where ERP “best-practices” affect and are affected by institutional logics through legitimacy and isomorphism mechanisms, showing two processes of institutionalization: (1) processes that challenge knowledge integration barriers by embedding ERP “best-practices” in the expected formal functioning of the organization as well as in the routines and habits of employees; and (2) processes that operate as drivers of evolution and change by embedding the institutional logics and new requirements within ERP “best-practices”
From the Editor
Dear readers and authors,It is the last time I am addressing you as the editor of the Journal. From the next issue the job of the editor will be taken over by Dr. Dijana Oreški. I am sure that the new editor will bring new ideas and new quality to the Journal and that she will keep good praxis that was introduced during my mandate.In four years I tried to increase the quality of articles and reviews. That opened the door of the Web of Science to the Journal as it is now in the Web of Science Emerging Sources. I am sure that, if Journal only keep the same quality, it will in very short time be in other Web of Science databases, but I am sure that new editor will increase further both main quality parameters mentioned afore.At the end of my mandate I want to thank all authors who published their articles in the Journal, all reviewers who employ their knowledge to defend the quality of the Journal with their opinions and remarks. My special thanks go to the people who worked hard with me to keep the quality of the Journal in every aspect, people from the publishing board: Bernarda Kos whose participation was crucial in the including the Journal into different scientific bases, Dr. Goran Hajdin who was in charge of technical review and preparation of the papers for the printing, Dr. Marcel Maretić and Dr. Vladimir Kovšca.In this last issue as the editor I proudly present six original scientific papers from different fields of the information science, and I hope readers will find them interesting and useful to their own research. At the end of this addressing I would like to say to all authors, reviewers and readers that it was an honor to work with you on the promotion of the Journal of Information and Organizational Sciences, and if there were any mistakes in my work I hope you will accept my deep apology
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ERP Implementation and Interoperability Growth as Organization Improvement Agents in Public Administration Further Development
Further public administration development depends on numerous various influences - stakeholders' and public needs, so when planned to be developed, implemented or improved, they have to be carefully considered. ERP and/or other system need to be incorporated according to specific conditions. Interoperability represents strong support for implementation, integration or further development for public administration. This paper aims for contribution to awareness growth and platform for further work. Considering various case studies, ERP implementation, interoperability, critical success factors and contingency approach, paper aims for further development in this area. ERP becomes a platform for further ICT development towards quantum computing
Improving the Results of Google Scholar Engine through Automatic Query Expansion Mechanism and Pseudo Re-ranking using MVRA
In this paper, we address the enhancing of Google Scholar engine, in the context of text retrieval, through two mechanisms related to the interrogation protocol of that query expansion and reformulation. The both schemes are applied with re-ranking results using a pseudo relevance feedback algorithm that we have proposed previously in the context of Content based Image Retrieval (CBIR) namely Majority Voting Re-ranking Algorithm (MVRA). The experiments conducted using ten queries reveal very promising results in terms of effectiveness
From the Editor
Dear readers and authors,
It is my great honor to introduce to you the 2nd issue of the 42. volume of the Journal of Information and Organizational Sciences (JIOS), first where I have the privilege of serving as the editor. I am extremely grateful to the Faculty Council and Faculty Board for placing their trust and confidence in my abilities and giving me this opportunity. I am taking this role with serious responsibility considering it as one of the highlights of my professional career and I am committed to continue successful path established over the years. I wish to extend my thanks to the former editor, professor Alen Lovrenčić for his hard work and commitment in establishing high quality journal as well as for helping me with my first issue. The journal has made great progress in every aspect and I hope to continue his successful track.
I’m proud to present six papers in this issue: three original scientific papers, two preliminary communications and one survey paper. Research topics are spanning from decision making and project scheduling to image retrieval and ERP implementation. I believe that you will enjoy reading articles in this issue and that there is something interesting for everyone. I would also like to invite you all connected with the field of information and organizational sciences to recognize JIOS as a place for presenting your research results.
Dijana OreškiEdito
Key factors of an organization’s environment for the acquisition and assimilation of an innovation
The paper deals with influential factors of an organization’s environment in the initial phase of diffusion of innovations (DOI) within the organization. A qualitative research was carried out with two expert groups: one for the diffusion of e-learning as an innovation in a higher education institution and the other for the diffusion of the Building Information Modelling (BIM) in a Construction Industry. The research disclosed 20 common factors. The internal environment group covers management support, the attitude towards innovation, strategic planning and communication, motivation and expertize of employers, available resources and IT maturity level of an organization. The group of business environment factors consists of competitors, clients and partners, supply and demand balance on the specific market for goods and services. In the social environment group, three factors are recognized on the national level and two on the global levels. The holistic model combines the theory of DOI and the concept of absorption capacity
Emotion-Based Content Personalization in Social Networks
Personalization is the process of customizing social network pages of users according to their needs and personal interests. It can also be used for filtering unwanted information from an individual's page received from other users, in case this information is unpleasant or unacceptable. To avoid unwanted information from a particular user in current social networks, the user needs to be denied accessibility by blocking them. However, instead of blocking the user, it would be preferable to have a mechanism that prevents the undesirable content in a user's social network page. Thus, this paper presents a model that determine the emotions shared in the content of a social network page by the user. The model determines the dominant emotions for a period of time and uses these to filter the content using the user's dominant emotions. Using the developed model, a novel system based on item based collaborative filtering process to personalize the user's social network page has been developed. A user study involving 5000 Twitter messages shows that the developed system performs satisfactory with a correctness in the filtering process of 87%
Business Model Grounds and Links: Towards Enterprise Architecture Perspective
The business model concept emerged in theory and practice without a consensus on the understanding of the concept, but it has become a well accepted and useful construct in fields such as strategy, organization, information systems and technology. This paper aims to provide an overview of the research on the use of business models focusing on outstanding works in this field, extracting main converging findings unburdened of extant lists of specific citations. Following the overview, a comparison of the seven respective conceptual frameworks of the business model research is presented. Finally, after determining grounds, the business model concept is linked to related complex concept – enterprise architecture
An Efficient and Effective Image Retrieval System on the basis of Feature, Matching Measure and sub-space Selection
Since its appearance as a research field, Content-based Image Retrieval (CBIR) system has increasingly received an important attention. Review of literature reveals that the efforts put, up to now, in the field address either effectiveness or efficiency. In this paper, we address both accuracy and efficiencythrough introducing an efficient and an effective image retrieval approach based on feature, matching measure and sub-spaceselection. The selection relies on relevance feedback information injected by the user. The approach is tested on Corel-1Kimages database. The obtained results are very promising