Journal of Information and Organizational Sciences

255-269

Authors: Lambodara Parabhoi, Rebecca Susan Dewey, Prem Chand, Ajit Kumar Kainchi, Manoj Kumar Verma

Gender disparity and gender imbalance are globally pervasive in academia. Research into gender disparity characterizing gender differences uses metrics such as publication rates, author contributions, citation rates and research impact. Previous studies are contradictory in their findings and are limited in scope. As such, the current study examines the research contribution of both men and women in Shimla, Himachal Pradesh, India. A Scopus search was used to identify all articles published over a 20-year period (1999-2018). For each article in the final sample of 2,881 publications, the gender the first author was identified. Both the number and the growth rate of publications by women were lower than those by men. Conversely, the growth in citation rate was higher for women in 2009 and 2016. Gender disparity was found to be highest at the Indian Institute of Wheat and Barley Research and less severe at the HP Govt. Dental College.

283-304

Authors: Maria Ali Yari, Mahmoud Modiri, Kaveh Khalili Damghani, Kiamars Fathi Hafshjani

Today, 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.

333-354

Authors: Mohammed Abbas Fadhil Al-Husainy, Hamza A. A. Al-Sewadi, Ahmed M. Sayed

In the digital world, information is exposed anytime, anywhere, to everybody, hence its privacy is a crucial matter. No matter how complicated the encryption algorithm is, it requires a strong and hard-to-break encryption key. Since the three-dimensional protein sequence structures are usually highly conserved, even better than DNA sequences, this work presents an innovative scheme for implementing the protein sequence and structural to build protein data tables that are then used to generate extremely strong encryption-keys. An image-encryption scheme designed to implement such encryption keys is developed and produced compatible security strength with existing encryption schemes. Prototype experiments resulted in an average normalized mean absolute error of 66.84%, an average peak signal to noise ratio of 6.85 dB, and comparable entropy with other cryptosystems. The obtained results make this scheme a promising color image protection technique for various applications.

375-386

Authors: Riad Sahara, Syahid Abdullah, Muhammad Ikhwani Saputra

ICT 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.

401-421

Authors: Virtika Singhal, Anurupa B. Singh, Vandana Ahuja, Rajat Gera

Social media has developed into a symbolic channel that affects consumer behavior due to the remarkable marketing and ecommerce opportunities that the internet has provided. This study is based on segmentation of consumers into different categories in the world of fashion using social media. This paper proposes two conceptual models (the FC-CBR model of consumer brand relationship and the FC-CBP model of consumer brand perception) for exploring further into these constructs and developing a more coherent theoretical framework. The study identifies factors of Consumer Brand Relationship (CBR) and Consumer Brand Perception (CBP) using social media in the fashion world. Subsequently, the manuscript groups fashion consumers into clusters using K-means cluster analysis based on consumer brand relationship and consumer brand perception. The manuscript demonstrates how the clusters can be used in the development of efficient targeting and positioning strategies by practitioners.

445-472

Authors: Nimas Aryany Pratiwi, Siti Fatimah, April Kukuh Susilo

Concerning the human aspect of organizational sustainability, this study aims to comprehensively examine organizational support (OS), employee attitude (EA), psychological empowerment (PE), and innovative work behavior (IWB). This study analyzes the relationship between OS, EA, and IWB in flexible manufacturing systems (FMS) and focuses on PE's role as a mediator between OS and EA. By dividing OS into perceived supervisor support (PSS) and procedural justice (PJ) and dividing EA into a sense of belonging (SB) and sense of awe (SA). A questionnaire was used to survey 341 participants from 23 teams employed in 9 large manufacturing enterprises in Indonesia. Eight Hypotheses were examined with Structural Equation Modeling (SEM). Results demonstrated that OS significantly affects EA and IWB, and PE mediates OS and EA through IWB. In this article, we seek to empirically test the entire belonging dimension of the OS as it relates to EA and IWB. These variables were chosen because they have well-documented pragmatic value for organizations. They also have reliable and valid relationships with various organizational support concepts. Future studies should include more variables for determining OS and EA to provide further context for organizational sustainability studies, particularly in FMS-transitioning industries.

1-20

Authors: Faris Ali, Randa Basheer, Mouhamad Kawas, Bassel Alkhatib

Conventionally, 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.

39-63

Authors: Xhavit Islami, Naim Mustafa

The 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.

83-107

Authors: Ivana Čavar, Luka Bulian, Nikša Dubreta

Working from home and work flexibility have been highly researched academic topics over the past forty years, and their importance was further amplified during the COVID-19 pandemic. Numerous qualitative and quantitative studies were aimed at better understanding this work arrangement, but they often encountered the challenges of limited scope and the inability to generalize their results. The goal of this study was to test the consistency of the instrument used in measuring the experiences of working from home for Croatian engineers, check the presence of its latent dimensions, and finally determine whether these dimensions could predict engineers’ job satisfaction. Three factors were extracted by exploratory factor analysis (productivity and work quality, work-life balance, and organizations’ distrust and control), while the multiple linear regression analysis ran on those factors as predictors proved that, although work-life balance does not influence job satisfaction, productivity and work quality positively predict it, while organizations’ distrust and control do so negatively.

133-151

Authors: Mawloud Mosbah

Query, expressing the user need and requirement, has an important role, in an information retrieval system, for reaching a high accuracy search. In this paper, we present an overview of the different refinement operations that the query may undergo, in the sake to enhance performance of an information retrieval system, such as: automatic query formulation through words prevision, query reformulation, query expansion, and query optimization.

167-177

Authors: Vladislav Tanov

Data-centric is a newly explored concept, where the attention is given to data optimization methodologies and techniques to improve model performance, rather than focusing on machine learning models and hyperparameter tunning. This paper suggests an effective data optimization methodology for optimizing imbalanced small datasets that improves machine learning model performance. This paper is focused on providing an effective solution when the number of observations is not enough to construct a machine learning model with high values of the estimated magnitudes. For example, the majority of the observations are labeled as one class (majority class), and the rest as the other, commonly considered as the class of interest (minority class). The proposed methodology does not depend on the applied classification models, rather it is based on the properties of the data resampling approach to systematically enhance and optimize the training dataset. The paper examines numerical experiments applying the data centric optimization methodology, and compares with previously obtained results by other authors.

189-201

Authors: Rajender Kumar

The term "cloud computing" refers to a variety of tools and applications used by organizations to manage their work processes online. Apart from providing the expected benefits, the gadgets and applications of the cloud are helpful for education. The purpose of this study is not to examine the outcomes of cloud computing in universities, but to examine how students use cloud applications. A survey research design was used to examine how students of Kurukshetra University use cloud computing applications. 200 students from the streams of science, management, social science, and arts were randomly selected to answer a structured questionnaire. A response rate of 95% was achieved by 48 students in Science, 50 in Management, 48 in Social Science, and 44 in Arts who completed and returned the questionnaire on time. The analyzed data is presented in a table that includes the Likert scale mean, standard deviation, and the cross-table Chi-square test. In the study, most students highly preferred G Suite Cloud (57%) and Microsoft (40%) learning applications. It can be seen from the study that WhatsApp (98%), Facebook (96%), and YouTube (97%) are the most preferred cloud-based social media among the students, most students preferred Google Meet (95%) and Zoom (91%) meeting application, and most students preferred Google Drive (68%) and pCloud (67%) for data storage.

223-243

Authors: Melita Draganić

The framework for assessing the company's digital capability includes six key areas that can be individually evaluated to consider the overall maturity of a company's digital capability. According to this framework key areas are innovation capability, transformation capability and IT excellence as digital transformation enablers and customer centricity, effective knowledge worker and operational excellence as digital transformation goals. The focus of this research is the area of operational excellence. The purpose of the paper is to assess how the manufacturing company manages the digital transformation of the operational excellence. In the paper, the digital capability maturity model (DCMM) and its corresponding business transformation management methodology (BTM2) are used for this assessment. The BTM2 includes nine management disciplines and each of them is individually evaluated for the case of the operational excellence. These are the following disciplines: strategy management, value management, risk management, business process management, IT management, change management, training management, project management and meta management. According to the obtained assessment results the maturity of management disciplines for the case of operational excellence within the examined company is mostly reactive (maturity level 2). In order to improve the digital transformation of the company's operational excellence, it is necessary to define digital use cases based on the new technologies and map them to the existing maturity model of operational excellence of the company. It is necessary to consider the requirements of stakeholders regarding the benefits and risks of new digital technologies to improve the operational excellence of the company. Accordingly, the company should to define a new strategic plan and align it with the new IT strategy. For this purpose, COBIT 5 framework is used in the paper. The contribution of this research is in the proposed and described three-step approach to managing the operational excellence of companies and improving the level of digital capabilities of companies.