Hybrid journal (It can contain Open Access articles) ISSN (Print) 1756-7017 - ISSN (Online) 1756-7025 Published by Inderscience Publishers[439 journals]
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Authors:Fatemeh Gheitarani, Khaled Nawaser, Haniruzila Hanifah, Ali Vafaei-Zadeh Pages: 233 - 248 Abstract: Research growth in organisational behaviour research, has increased the importance of paying attention to anti-citizenship behaviours. The current research with the aim of quantitative combination, has examined the results of research in effect of underlying factors of organisational anti-citizenship behaviours using meta-analysis method and CMA2 software and 55 articles during the time period of 2000-2020. The results showed a positive significant link between underlying factors of organisational anti-citizenship behaviours and occurrence of these behaviours and this influence was 0.389, 0.338, 0514 and 0.498 (structural, organisational, managerial, employment and professional and socio-economic and cultural factors). The level of connection found relating to each four occurrences is '68 links, 49 links, 93 links and 71 links'. Findings indicate that minute attention has been paid to organisational anti-citizenship behaviours, especially to job and professional factors in research works. Research should be conducted to control and manage these behaviours more purposefully in organisations. Keywords: organisational behaviours; meta-analysis; organisational factor; anti-citizenship behaviours; personal factor Citation: International Journal of Information and Decision Sciences, Vol. 16, No. 3 (2024) pp. 233 - 248 PubDate: 2024-07-29T23:20:50-05:00 DOI: 10.1504/IJIDS.2024.140187 Issue No:Vol. 16, No. 3 (2024)
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Authors:Gurpreet Singh Matharou, Simran Kaur Pages: 249 - 263 Abstract: The Republic of India has witnessed an enormous leap in financial transactions after a sudden demonetisation in 2016. The study represents an in-depth analysis of the factors influencing e-wallets usage post-COVID situation covering the National Capital Region. The scientifically collected data were subjected to Pearson's correlation to recognise the correlation amongst the selected e-wallets. The usage of e-wallets is observed mainly during recharge, UPI payments, and utility payments. Through psychometric response and interaction analysis, six factors were selected and examined for data distribution and stable observation using standard deviation and variance coefficient. The coefficient of variance for six factors was observed ≤ 1. The weight of the factors noted to be secured way (0.184), to take advantage of cashback (0.182), low risk of theft (0.169), fast service (0.1689), ease to use (0.156), and saves time (0.139) using principal component eigenvectors analysis. Freecharge and Tez wallets reveal a maximum 99.2% correlation. Keywords: wallets; correlation; payment; p-value; technology Citation: International Journal of Information and Decision Sciences, Vol. 16, No. 3 (2024) pp. 249 - 263 PubDate: 2024-07-29T23:20:50-05:00 DOI: 10.1504/IJIDS.2024.140189 Issue No:Vol. 16, No. 3 (2024)
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Authors:Siti Wardah, Mohammad Yani, Taufik Djatna, Marimin Marimin Pages: 264 - 283 Abstract: Product innovation has become a crucial part of the sustainability of the coconut agro-industry in Indonesia, covering upstream and downstream sides. To overcome this challenge, it is necessary to create several model stages using a hybrid method that combines machine learning based on multiple criteria decision making and mass balance analysis. The research case study was conducted in Tembilahan district, Riau province, Indonesia, one of the primary coconut producers in Indonesia. The analysis results showed that potential products for domestic customers included coconut milk, coconut cooking oil, coconut chips, coconut jelly, coconut sugar, and virgin coconut oil. Furthermore, considering the experts, the most potential product to be developed was coconut sugar with a weight of 0.26. Prediction of coconut sugar demand reached 13,996,607 tons/year, requiring coconut sap as a raw material up to 97,976,249. Keywords: coconut agro-industry; hybrid of machine learning; mass balance analysis; multiple criteria Citation: International Journal of Information and Decision Sciences, Vol. 16, No. 3 (2024) pp. 264 - 283 PubDate: 2024-07-29T23:20:50-05:00 DOI: 10.1504/IJIDS.2024.140188 Issue No:Vol. 16, No. 3 (2024)
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Authors:Mohammad Mirkazemi Mood, Ali Mohaghar, Yaser Nesari Pages: 284 - 318 Abstract: To capture the complexity and diversity of systems with both technical and social features, modelling methods are needed that similarly provide various tools and concepts. Study of developed methods shows that despite all of their advantages and strengths, there is a need for a method that with a holistic approach integrates perspectives, strengths and tools of the developed methods and models with different aspects of socio-technical systems. The main aim of the current study is to design a method for modelling complex socio-technical systems. To achieve this goal, it is necessary to design a method that is based on creativity and existing knowledge base. Therefore, design science research is used as a research strategy to design proposed method. For the first time, design science research in the field of operations research has been used to design a modelling method. This study also presents new tools and concepts for modelling socio-technical systems. Keywords: socio-technical approach; design science research; soft operations research; problem structuring methods; system thinking; meta-synthesis; modelling methods Citation: International Journal of Information and Decision Sciences, Vol. 16, No. 3 (2024) pp. 284 - 318 PubDate: 2024-07-29T23:20:50-05:00 DOI: 10.1504/IJIDS.2024.140185 Issue No:Vol. 16, No. 3 (2024)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Hybrid journal (It can contain Open Access articles)
[439 journals]
