Journal of Information and Organizational Sciences (JIOS)
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From Discord to Concord and Back Again (Managing the Formation, Transformation, and Fission of Organizational Culture)
No full textBy means of theoretical analysis based on the results of previous research, and the relevant historical and factual material, the author outlines a new theory of formation, transformation, and fission of organizational culture. The mechanism that consolidates organizational culture (selection of “right” persons; adjustment to the common cause; and people’s accommodation with each other), the toolkit for renewing it (involvement of the key bearers of the culture to be introduced; elimination of those inconsistent with it; and translation of the proclaimed values to the “pliant mass” ready to get engaged in changes) as well as the nature of cultural ruptures in organizations and the ways out are brought into relief. The paper promotes a better understanding of the dynamics of organizational culture and gives an access to more efficient instruments to manage it
From the Editor
No full textDear readers,
The Journal is improving, not only in the means of number and quality of the papers published, but in the means of the members of the publishing board and the number of reviewers, and the number of countries that they are coming from, as well as the number of scientific databases the Journal is referenced at, also.
This year we are celebrating 45 years of continuous existence. This is an important jubilee for us, that ensures us that we are still on the right course.
The editing board is also changed, in which way we introduce young scientists, possible future editors into the work of publishing a scientific journal.
The increase of the paper that we are proud to publish is increasing, too. That means that authors recognize us as a relevant journal for publishing their papers. We are thankful for that.
In this issue you can find 15 scientific papers, 10 original scientific 3 survey papers, and 2 preliminary communications, spreading from the field of organizing government systems and e-marketing to computer algorithms and artificial intelligence.
Therefore, the Journal should be interesting to readers of a wide range of interests. I hope you will find this issue of our Journal interesting, and that you will stay with us in future issues
Implementation of Feedback as an Important Element of Modern Corporate Websites
No full textThe Internet has become an independent global electronic environment for economic activity, which for many companies has come to the forefront, not only complementing but also replacing the business methods used for decades. Almost any company, linking its activities to the Internet, develops and maintains its representation in the form of a corporate portal or website. Sites become more functional, more beautiful and informative over time, but many managers forget or do not pay due attention to such an important element of the site as feedback from external and internal contractors. This article presents the effectiveness of using feedback on specific examples in a simple and straightforward way, and gives an overview of the different forms of organisation of such communication, with an indication of possible tools for their implementation
Spectral Indexes Evaluation for Satellite Images Classification using CNN
No full textDeep learning approaches are applied for a wide variety of problems, they are being used in the remote sensing field of study and showed high performance. Recent studies have demonstrated the efficiency of using spectral indexes in classification problems, because of accuracy and F1 score increasing in comparison with the usage of only RGB channels. The paper studies the problem of classification satellite images on the EuroSAT dataset using the proposed convolutional neural network. In the research set of the most used spectral indexes have been selected and calculated on the EuroSAT dataset. Then, a novel comparative analysis of spectral indexes was carried out. It has been established that the most significant set of indexes (NDVI, NDWI, GNDVI) increased classification accuracy from 64.72% to 84.19% and F1 score from 63.89% to 84.05%. The biggest improvement was obtained for River, Highway and PermanentCrop classes
A Novel Classification Model for Employees Turnover Using Neural Network to Enhance Job Satisfaction in Organizations
No full textThe most important challenge facing modern organizations is to keep their employees as valuable assists. Employee turnover is one of these challenges. This paper aims to develop a novel model that can help decision-makers to classify the problem of Employee Turnover. The proposed model is based on machine learning algorithms. The model was trained and tested by using a dataset that consists of 1470 records and 25 features. To develop the research model, many experiments had been conducted to find the best one. Based on implementation results, the Neural Network algorithm is selected as the best one with an Accuracy of 84% and AUC (ROC) of 74%. By validation mechanism, the model is acceptable and reliable to help origination decision-makers to manage their employees in a good manner and setting proactive plans to keep them. Besides the model, three important features should be dealt with carefully as Over Time, Job Level, Monthly Income
Hybrid Recommendation Using Temporal Data for Accuracy Improvement in Item Recommendation
No full textRecommender systems have become a vital entity to the business world in form of software tools to make decisions. It estimates the overloaded information and provides the suitable decisions in any kind of business work through online. Especially in the area of e-commerce, recommender systems provide suggestions to users on the items that are likely based upon user’s true interest. Collaborative Filtering and Content Based Filtering are the main techniques of recommender systems. Collaborative Filtering is considered to be the best in all domains and always outperforms Content Based filtering. But, both the techniques have some limitations like data sparsity, cold start, gray sheep and scalability issues. To overcome these limitations, Hybrid Recommender Systems are used by combining Collaborative Filtering and Content Based Filtering. This paper proposes such kind of hybrid system by combining Collaborative Filtering and Content Based Filtering using time variance and machine learning algorithm
Queueing Systems with Random Volume Customers and their Performance Characteristics
No full textIn the paper, we consider non-classical queueing systems with non-homogeneous customers. The non-homogeneity we treat in the following sense: in systems under consideration, we characterize each customer by random capacity (volume) that can have an influence on his service time. We analyze a stochastic process having the sense of the total volume of all customers present in the system at given time instant. Such analysis for different queueing systems with unlimited or limited total volume can be used in designing of nodes of computer and communication networks while determining their buffer space capacity. We discuss basic problems of the theory of these systems and their performance characteristics. We also present some examples and results for systems with random volume customers
Existing Differences Between SMEs That Apply BSC and Those That Do Not
No full textThis paper aims to confirm the importance of BSC (Balanced Scorecard) in SMEs’ organizational performance. To perform the empirical study of this investigation, a field study, namely a qualitative approach, Multi Case Study was selected and developed in two small and medium organizations (SMEs) in the wine sector. One of the organizations, had the Balanced Scorecard (BSC) implemented while the other did not, which made it possible to ascertain the existing differences among SMEs that apply and those that do not apply BSC. The results showed that BSC has impact on business success. SMEs benefit from the implementation of BSC, consequently SMEs were encouraged to adopt it based on the benefits in terms of performance and measurement of strategic objectives. This study reflects that BSC has been a discussion and research topic over the last few years as it leverages business. Managers seek appropriate BSC tools to implement indicators and monitor these in accordance with the global organizational strategy. Besides BSC provides managers with relevant information to take decisions, define action plans and achieve the whole organizational control