Hybrid journal (It can contain Open Access articles) ISSN (Print) 1756-7017 - ISSN (Online) 1756-7025 Published by Inderscience Publishers[449 journals]
Authors:Hrishikesh Kulkarni, Manisha Marathe Pages: 211 - 226 Abstract: Selection of team for match, mission or project is always challenging since every mission is different and every match brings new uncertainties. Your best resource may not be the right choice for the given task. It is the context of task, behaviours of individuals and above all constitution of the team in that scenario contribute to the outcome. The context vector convergence (CVC) of behavioural vectors helps in deriving the actual effect of two vectors in overall team performance. The personality vector is used to derive behavioural context while mission vector is used to derive the scenario context. These two vectors are graphically associated in convergence to identify and recommend the best team combinations. While formulating the vector, cultural aspects and behaviours are captured through expressions and interactions. Top three combinations are compared to validate hypotheses. The promising results reinforce the premise to establish further research directions. Keywords: behavioural psychology; machine learning; artificial intelligence; cognitive sciences; computational psychology; context; cultural computing; computational social sciences; mission vector; personality vector; context vector Citation: International Journal of Information and Decision Sciences, Vol. 12, No. 3 (2020) pp. 211 - 226 PubDate: 2020-07-03T23:20:50-05:00 DOI: 10.1504/IJIDS.2020.108143 Issue No:Vol. 12, No. 3 (2020)
Authors:Amir Imran Zainoddin, Azlan Amran, Mohd. Rizaimy Shaharudin Pages: 227 - 245 Abstract: This study aims to determine the influence of social capital on the effectiveness of the farmer's development programme established by a MNC in Malaysia for business-community relations as part of the company's CSR endeavours. The sampling technique employed in this study was census sampling with all of the 400 respondents being included in the study. The results unveiled that the relational and cognitive dimensions were positively and significantly related to the effectiveness of the community development programme. Nevertheless, the structural dimension failed to follow similar inclinations. The finding has contributed to the social capital theory by supporting the relational and cognitive dimensions as the factors that influence the success of the community development programmes. Future study is suggested to measure the effectiveness of community development programmes using financial or non-financial aspects, utilise the stakeholder theory perspectives, as well as validate the inconsistencies in the outcomes of the past studies. Keywords: corporate social responsibility; social capital; effectiveness; community development programmes; farmers Citation: International Journal of Information and Decision Sciences, Vol. 12, No. 3 (2020) pp. 227 - 245 PubDate: 2020-07-03T23:20:50-05:00 DOI: 10.1504/IJIDS.2020.108139 Issue No:Vol. 12, No. 3 (2020)
Authors:Priyanka, Dharmender Kumar Pages: 246 - 269 Abstract: Decision tree classifier (DTC) is one of the well-known methods for data classification. The most significant feature of DTC is its ability to change the complicated decision making problems into simple processes, thus finding a solution which is understandable and easier to interpret. This paper provides a brief review on various algorithms developed in literature for constructing and representing decision trees, splitting criteria for selecting best attribute and pruning methods. The readers will be able to understand why decision trees are more popular among all other methods of classification, what are their uses, limitations and applications in different diverse areas. They will also come to know about a decision tree induction algorithms, splitting criteria, pruning methods, concepts of ensemble methods, fuzzy decision trees, hybridisation of DTCs, etc. These enhancements are found very helpful in solving complex datasets with less computation in very short time period while achieving high accuracy. Keywords: decision tree hybridisation; classification; iterative dichotomiser 3; ID3; CART; ensembles; splitting criteria; pruning methods Citation: International Journal of Information and Decision Sciences, Vol. 12, No. 3 (2020) pp. 246 - 269 PubDate: 2020-07-03T23:20:50-05:00 DOI: 10.1504/IJIDS.2020.108141 Issue No:Vol. 12, No. 3 (2020)
Authors:Vishal A. Bhosale, Ravi Kant, Mark Goh Pages: 270 - 298 Abstract: This paper seeks to investigate the role and impact of supply chain knowledge flow enablers (SCKFEs) in improving the supply chain performance of four luggage manufacturing firms. The paper applies fuzzy analytic hierarchy process (AHP) to obtain the weights of the SCKFEs, and fuzzy multi-objective optimisation by the ratio analysis (MOORA) to rank the firms practicing knowledge flows. A case study of four Indian luggage manufacturers suggests that the better the implementation of the SCKFEs, the better the knowledge flows and hence better supply chain performance. This study reveals how firms practicing knowledge flows influence their supply chain performance. Keywords: knowledge flow; supply chain performance; multi-criteria decision making; MCDM; analytic hierarchy process; AHP; MOORA Citation: International Journal of Information and Decision Sciences, Vol. 12, No. 3 (2020) pp. 270 - 298 PubDate: 2020-07-03T23:20:50-05:00 DOI: 10.1504/IJIDS.2020.108140 Issue No:Vol. 12, No. 3 (2020)
Hybrid journal (It can contain Open Access articles)
[449 journals]
