Sustainability problems are getting more and more critical and increasingly threatening human life day by day. Software, which is developing rapidly and entering into every aspect of our lives, is one of the most fundamental components of the technological society. The widespread use of software applications and limited natural resources has led researchers to focus on research that will ensure sustainability in the software development process. In this study, we conducted a questionnaire study concerning the sustainability factors that affect the software development process. Then the effect of these factors and the level of education, age, and experience of the people involved in the software development process on the software performance were investigated. As a result, it has been determined that the factors affecting the software development process in terms of sustainability and the descriptive attributes of the individual have an effect on software performance.
{"title":"Analysis of the relationship between sustainability and software performance","authors":"Koray Cirak, Hür Bersam Bolat","doi":"10.4018/ijban.298019","DOIUrl":"https://doi.org/10.4018/ijban.298019","url":null,"abstract":"Sustainability problems are getting more and more critical and increasingly threatening human life day by day. Software, which is developing rapidly and entering into every aspect of our lives, is one of the most fundamental components of the technological society. The widespread use of software applications and limited natural resources has led researchers to focus on research that will ensure sustainability in the software development process. In this study, we conducted a questionnaire study concerning the sustainability factors that affect the software development process. Then the effect of these factors and the level of education, age, and experience of the people involved in the software development process on the software performance were investigated. As a result, it has been determined that the factors affecting the software development process in terms of sustainability and the descriptive attributes of the individual have an effect on software performance.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130403923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-24DOI: 10.1504/ijids.2021.118053
T. Padma, S. Shantharajah
The incidence of neck and shoulder pain is recurrent in adolescents, constituting a large socioeconomic challenge and is responsible for substantial personal and social impacts; requiring intensive...
{"title":"Evaluation of risk causing factors for the incidence of neck and shoulder pain in adolescents using fuzzy analytic hierarchy process","authors":"T. Padma, S. Shantharajah","doi":"10.1504/ijids.2021.118053","DOIUrl":"https://doi.org/10.1504/ijids.2021.118053","url":null,"abstract":"The incidence of neck and shoulder pain is recurrent in adolescents, constituting a large socioeconomic challenge and is responsible for substantial personal and social impacts; requiring intensive...","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120994435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-24DOI: 10.1504/ijids.2021.118060
Manoj Mathew, Santosh Kumar Patanwar, Sanjay Gupta, T. Sachdev
Selection of welding process during the manufacturing of pressure vessel is conventionally done by the manufacturer depending upon his/her experience of welding process. This process ignores many c...
在压力容器制造过程中，焊接工艺的选择通常由制造商根据其焊接工艺经验来完成。这个过程忽略了许多c…
{"title":"Performance evaluation of arc welding processes for the manufacturing of pressure vessel using novel hybrid MCDM technique","authors":"Manoj Mathew, Santosh Kumar Patanwar, Sanjay Gupta, T. Sachdev","doi":"10.1504/ijids.2021.118060","DOIUrl":"https://doi.org/10.1504/ijids.2021.118060","url":null,"abstract":"Selection of welding process during the manufacturing of pressure vessel is conventionally done by the manufacturer depending upon his/her experience of welding process. This process ignores many c...","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125615863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-24DOI: 10.1504/ijids.2021.118051
Hsun-Ming Lee, Ju Long, Mayur R. Mehta, Peiqin Zhang
For many years, the US Government has pushed the adoption of health information exchange (HIE), which is a key to spur large-scale innovation in the healthcare delivery. As funding has diminished, ...
{"title":"Health information exchange adoption: influences of public insurance programs","authors":"Hsun-Ming Lee, Ju Long, Mayur R. Mehta, Peiqin Zhang","doi":"10.1504/ijids.2021.118051","DOIUrl":"https://doi.org/10.1504/ijids.2021.118051","url":null,"abstract":"For many years, the US Government has pushed the adoption of health information exchange (HIE), which is a key to spur large-scale innovation in the healthcare delivery. As funding has diminished, ...","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117286202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-24DOI: 10.1504/ijids.2021.118052
V. Madhivanan, Zayaraz Godandapani
Technical debt (TD) is a metaphor that is one of the reasons for software to become obsolete. The process of refactoring can be effectively applied to reduce the technical debt and the improvement ...
技术债务(TD)是一个比喻，它是软件过时的原因之一。重构过程可以有效地应用于减少技术债务和改进…
{"title":"Technical debt reduction using epsilon-Nash equilibrium for the perturbed software refactor game model","authors":"V. Madhivanan, Zayaraz Godandapani","doi":"10.1504/ijids.2021.118052","DOIUrl":"https://doi.org/10.1504/ijids.2021.118052","url":null,"abstract":"Technical debt (TD) is a metaphor that is one of the reasons for software to become obsolete. The process of refactoring can be effectively applied to reduce the technical debt and the improvement ...","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124881631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-22DOI: 10.1504/ijids.2021.116498
N. Prathviraj, Santosh L. Deshpande
In mobile ad hoc network (MANET), providing a guaranteed service for packet delivery has to pass through several hurdles. Providing guaranteed service should address multiple quality of service (QoS) parameters under uncertain network conditions. The QoS parameters should be prioritised in consideration of MANET constraints and applications running on MANET. The QoS aspects of MANET are impacted by the multi-layer stack parameters. An analysis has been conducted to identify the trade-off point for configuring the stack parameters to achieve better QoS in packet delivery. The outcome of analysis is discussed in terms of packet error rate, energy efficiency, goodput and delay with the support of rough set theory (RST). The multi-objective analysis capabilities of RST make it suitable for taking dynamic decision to prioritise the QoS parameter. The rough set derived decision rules are filtered out based on probabilistic properties like strength, certainty and coverage of the decision rules.
{"title":"Rough set-based quality of service optimisation guidelines with stack parameter in MANET","authors":"N. Prathviraj, Santosh L. Deshpande","doi":"10.1504/ijids.2021.116498","DOIUrl":"https://doi.org/10.1504/ijids.2021.116498","url":null,"abstract":"In mobile ad hoc network (MANET), providing a guaranteed service for packet delivery has to pass through several hurdles. Providing guaranteed service should address multiple quality of service (QoS) parameters under uncertain network conditions. The QoS parameters should be prioritised in consideration of MANET constraints and applications running on MANET. The QoS aspects of MANET are impacted by the multi-layer stack parameters. An analysis has been conducted to identify the trade-off point for configuring the stack parameters to achieve better QoS in packet delivery. The outcome of analysis is discussed in terms of packet error rate, energy efficiency, goodput and delay with the support of rough set theory (RST). The multi-objective analysis capabilities of RST make it suitable for taking dynamic decision to prioritise the QoS parameter. The rough set derived decision rules are filtered out based on probabilistic properties like strength, certainty and coverage of the decision rules.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130088476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-09DOI: 10.1504/IJIDS.2021.113597
Debesh Mishra, S. Satapathy
Disruptions in supply chain process could have negative effects on firms' performance and if the highly influential risks factors involved in disruptions of the supply chain are ranked and mitigated properly based on their importance, then those disruptions could be well managed. In order to assist the decision-makers and other managers to take appropriate decision, this study provides the ranking of the risks in agricultural supply chain of Odisha in India using the step-wise weight assessment ratio analysis (SWARA) method based on the four main categories in agricultural sector such as crops, livestock, fishing and forestry and logging. In addition to the above, this study also ranks the risks based on agricultural supply chain related risk considering the important risk variables involved in the supply chain.
{"title":"SWARA approach for ranking of agricultural supply chain risks of Odisha in India","authors":"Debesh Mishra, S. Satapathy","doi":"10.1504/IJIDS.2021.113597","DOIUrl":"https://doi.org/10.1504/IJIDS.2021.113597","url":null,"abstract":"Disruptions in supply chain process could have negative effects on firms' performance and if the highly influential risks factors involved in disruptions of the supply chain are ranked and mitigated properly based on their importance, then those disruptions could be well managed. In order to assist the decision-makers and other managers to take appropriate decision, this study provides the ranking of the risks in agricultural supply chain of Odisha in India using the step-wise weight assessment ratio analysis (SWARA) method based on the four main categories in agricultural sector such as crops, livestock, fishing and forestry and logging. In addition to the above, this study also ranks the risks based on agricultural supply chain related risk considering the important risk variables involved in the supply chain.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128147888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-30DOI: 10.1504/ijids.2020.10029123
Hrishikesh Kulkarni, M. Marathe
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.
{"title":"Context vector convergence of computational behaviour and cultural traits for team selection","authors":"Hrishikesh Kulkarni, M. Marathe","doi":"10.1504/ijids.2020.10029123","DOIUrl":"https://doi.org/10.1504/ijids.2020.10029123","url":null,"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.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114889648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-30DOI: 10.1504/ijids.2020.10029121
V. A. Bhosale, R. Kant, M. Goh
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.
{"title":"Impact of knowledge flows on supply chain performance: an experiment on four Indian luggage manufacturing firms","authors":"V. A. Bhosale, R. Kant, M. Goh","doi":"10.1504/ijids.2020.10029121","DOIUrl":"https://doi.org/10.1504/ijids.2020.10029121","url":null,"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.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114455254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-30DOI: 10.1504/ijids.2020.10029122
Priyanka, Dharmender Kumar
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.
{"title":"Decision tree classifier: a detailed survey","authors":"Priyanka, Dharmender Kumar","doi":"10.1504/ijids.2020.10029122","DOIUrl":"https://doi.org/10.1504/ijids.2020.10029122","url":null,"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.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128360195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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