Journal of Information and Organizational Sciences (JIOS)
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455 research outputs found
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Long Short-Term Memory and Discrete Wavelet Transform based Univariate Stock Market Prediction Model
No full textAnalyzing financial situations in the current scenario is difficult, as it requires understanding the quality and value of investments. This study predicted the movement of stock prices in the Saudi Arabian stock market (Tadawul) over a one-week period using a proposed integrated model of Long Short-Term Memory (LSTM), which combines LSTM, Discrete Wavelet Transform (DWT), and Autoregressive Integrated Moving Average (ARIMA). Historical closing prices of a group of four companies listed on Tadawul were used as input for the proposed LSTM model, which consists of memory units capable of storing long time periods. Once the LSTM model predicted the closing values of stocks in Tadawul, they were further analyzed using the ARIMA model. The prediction accuracy of the proposed LSTM model and the traditional ARIMA model were 97.54% and 96.29% respectively. Therefore, the proposed integrated model of LSTM is considered a useful tool for predicting stock market values. The results emphasize the significance of Deep Learning (DL) and leveraging multiple information sources in predicting stock prices
Publication Ethics; List of Reviewers; Guidelines for Contributors
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Identification and Evaluation of the Design Risks in Iran's Oil, Gas and Petrochemical Industry
No full textProper risk assessment and management are considered important issues in design improvement. This tendency has been due to the continuing uncertainty of the global economy and the advancement of information technology. Despite the most important and valuable benefits, developed design topics are more vulnerable and can expose the organization to higher levels of risk. Achieving sustainability is recognized as a growing and effective strategy to meet today's global design challenges. Design in the oil, gas and petrochemical industry is important due to its characteristics and high risk in different countries, especially Iran, due to its different effects on the environmental dimension. The issue of identifying and evaluating design risks has also been neglected in recent research. Therefore, the purpose of this study is to identify and evaluate design risks in Iran’s oil, gas and petrochemical industry. The present research is descriptive-survey and is qualitative and quantitative in terms of technique and data used. Based on the literature review, 13 risk factors affecting the design were identified, in two stages, in-depth interviews were conducted with the opinions of experts, and by collecting opinions through a questionnaire, and 10 key risk factors were finally confirmed. In the first stage, the validity of the questionnaire was finally confirmed based on the opinions of 5 experts and in the second stage, using the opinions of 8 experts in this industry. Cronbach's alpha coefficient of the risk questionnaire is higher than 0.7, which indicates the reliability of the research tool. According to the research findings, two factors such as weak technology / knowledge sustainability and environmental pollution, compared to other risk factors, have a higher priority in design projects in Iran's oil, gas and petrochemical industry. It is suggested that industry owners take serious and continuous measures in the field of "improving the level of process knowledge"
Bibliometric Mapping of Gender Disparity in Research Publications in India during 1999-2018: A Case Study of Shimla District, Himachal Pradesh
No full textGender 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
Publication Ethics; List of Reviewers; Instructions for Authors
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Consumer Segmentation in the Fashion Industry Using Social Media: An Empirical Analysis
No full textSocial 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
The Impact of Organizational Support and Employee Attitude to Innovative Work Behavior Mediating Role of Psychologic Empowerment
No full textConcerning 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
Exploring Work from Home: Scale Construction and Its Use in Determining Croatian Engineers’ Job Satisfaction
No full textWorking 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
New Information Technologies in the Development of Digital (Electronic) Democracy in Russia
No full textThis study is aimed at solving such a fundamental task as the use of modern information technologies in the development of electronic or digital democracy in Russia, as the main direction of the strategy for supporting democratic institutions and democratic processes and spreading democratic values. E-democracy is the basic foundation of the information society, accumulating a number of traditional and innovative tools that are successfully used in the democratic institutions of the modern state in the regulation of socially significant relations. The development of modern democratic processes is based not so much on public authorities, but on civil society, which is gradually transforming into a digital society. For this reason, the issue of searching for and actively implementing mechanisms that contribute to the development of information technology infrastructures, communication systems, and increasing the information literacy of the population seems to be relevant
Managing the Company's Digital Capability: A Case for Operational Excellence
No full textThe 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