Pub Date : 2020-01-01DOI: 10.1504/ijmdm.2020.10030490
S. H. Jalali
{"title":"Interplay between Cognition and Design: How Performance of Strategic Alliance with Different Design Affected by Cognitive Capabilities","authors":"S. H. Jalali","doi":"10.1504/ijmdm.2020.10030490","DOIUrl":"https://doi.org/10.1504/ijmdm.2020.10030490","url":null,"abstract":"","PeriodicalId":35475,"journal":{"name":"International Journal of Management and Decision Making","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66702912","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 : 2020-01-01DOI: 10.1504/ijmdm.2020.10025699
F. Junges, A. Klein, C. Gonçalo, C. Sørensen
This article explores how the decision-making processes that occur during mobile work differ from those that occur in fixed workplaces. We explored if the levels of intuition and rationality change in decision-making processes and how the use of mobile ICT influence the individual's perception of information quality. A qualitative research approach was applied combining a group and individual interviews, and a non-participant observation of a decision-making process simulation with 115 participants. The levels of intuition and reasoning in decision-making are not different between fixed and mobile groups. However, there is a perception of lower information quality and difficulties to process information in a mobility context. The time pressure caused by the constant connectivity via mobile devices has potentially adverse consequences for decision-making, increasing individuals' exposure to error. As positive consequences, there is greater agility of decision flows related to the use of mobile ICT, especially regarding low complexity decisions.
{"title":"Mobile Work, Mobile Technology: Consequences for decision-making","authors":"F. Junges, A. Klein, C. Gonçalo, C. Sørensen","doi":"10.1504/ijmdm.2020.10025699","DOIUrl":"https://doi.org/10.1504/ijmdm.2020.10025699","url":null,"abstract":"This article explores how the decision-making processes that occur during mobile work differ from those that occur in fixed workplaces. We explored if the levels of intuition and rationality change in decision-making processes and how the use of mobile ICT influence the individual's perception of information quality. A qualitative research approach was applied combining a group and individual interviews, and a non-participant observation of a decision-making process simulation with 115 participants. The levels of intuition and reasoning in decision-making are not different between fixed and mobile groups. However, there is a perception of lower information quality and difficulties to process information in a mobility context. The time pressure caused by the constant connectivity via mobile devices has potentially adverse consequences for decision-making, increasing individuals' exposure to error. As positive consequences, there is greater agility of decision flows related to the use of mobile ICT, especially regarding low complexity decisions.","PeriodicalId":35475,"journal":{"name":"International Journal of Management and Decision Making","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66702834","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 : 2020-01-01DOI: 10.1504/ijmdm.2020.104183
Sarbeswara Hota, N.A. Kuhoo, Debahuti Mishra, S. Patnaik
{"title":"An empirical net asset value forecasting model based on optimised ANN using elephant herding strategy","authors":"Sarbeswara Hota, N.A. Kuhoo, Debahuti Mishra, S. Patnaik","doi":"10.1504/ijmdm.2020.104183","DOIUrl":"https://doi.org/10.1504/ijmdm.2020.104183","url":null,"abstract":"","PeriodicalId":35475,"journal":{"name":"International Journal of Management and Decision Making","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijmdm.2020.104183","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66702494","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 : 2020-01-01DOI: 10.1504/ijmdm.2020.110886
Alejandra Moreno López, J. Torres
{"title":"The ontological and epistemological turn in organisation studies","authors":"Alejandra Moreno López, J. Torres","doi":"10.1504/ijmdm.2020.110886","DOIUrl":"https://doi.org/10.1504/ijmdm.2020.110886","url":null,"abstract":"","PeriodicalId":35475,"journal":{"name":"International Journal of Management and Decision Making","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66702553","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 : 2020-01-01DOI: 10.1504/ijmdm.2020.10030625
Alejandra Moreno López, J. Torres
{"title":"The ontological and epistemological turn in Organization Studies","authors":"Alejandra Moreno López, J. Torres","doi":"10.1504/ijmdm.2020.10030625","DOIUrl":"https://doi.org/10.1504/ijmdm.2020.10030625","url":null,"abstract":"","PeriodicalId":35475,"journal":{"name":"International Journal of Management and Decision Making","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66702933","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 : 2020-01-01DOI: 10.1504/IJMDM.2020.10022206
Sarbeswara Hota, Kuhoo, Debahuti Mishra, S. Patnaik
Net asset value (NAV) prediction of mutual funds is one of the promising tasks of financial time series data forecasting. It enables the investors to choose the desired mutual fund for investing. Artificial neural network (ANN) is well suited for NAV prediction as the NAV data are nonlinear in nature. This paper proposes the ANN model hybridised with elephant herding optimisation (EHO) algorithm to predict the NAV of different interval days ahead for two of the Indian mutual funds. The prediction performance of ANN-EHO model is compared with ANN, ANN-GA, ANN-PSO and ANN-DE. The results implicate that ANN-EHO model is superior to other four models.
{"title":"An Empirical Net Asset Value Forecasting Model based on Optimized ANN using Elephant Herding Strategy","authors":"Sarbeswara Hota, Kuhoo, Debahuti Mishra, S. Patnaik","doi":"10.1504/IJMDM.2020.10022206","DOIUrl":"https://doi.org/10.1504/IJMDM.2020.10022206","url":null,"abstract":"Net asset value (NAV) prediction of mutual funds is one of the promising tasks of financial time series data forecasting. It enables the investors to choose the desired mutual fund for investing. Artificial neural network (ANN) is well suited for NAV prediction as the NAV data are nonlinear in nature. This paper proposes the ANN model hybridised with elephant herding optimisation (EHO) algorithm to predict the NAV of different interval days ahead for two of the Indian mutual funds. The prediction performance of ANN-EHO model is compared with ANN, ANN-GA, ANN-PSO and ANN-DE. The results implicate that ANN-EHO model is superior to other four models.","PeriodicalId":35475,"journal":{"name":"International Journal of Management and Decision Making","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66702715","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 : 2020-01-01DOI: 10.1504/ijmdm.2020.108204
S. Devi, M. M. Nayak, S. Patnaik
{"title":"Decision-making models and tools: a critical study","authors":"S. Devi, M. M. Nayak, S. Patnaik","doi":"10.1504/ijmdm.2020.108204","DOIUrl":"https://doi.org/10.1504/ijmdm.2020.108204","url":null,"abstract":"","PeriodicalId":35475,"journal":{"name":"International Journal of Management and Decision Making","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijmdm.2020.108204","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66702504","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 : 2020-01-01DOI: 10.1504/ijmdm.2020.108647
Bruno F. Abrantes, M. Preto, N. António
{"title":"SMEs foreign establishment decision-making: a multiple-case research of internationalisation strategies in the metallurgy and metal-mechanic industry","authors":"Bruno F. Abrantes, M. Preto, N. António","doi":"10.1504/ijmdm.2020.108647","DOIUrl":"https://doi.org/10.1504/ijmdm.2020.108647","url":null,"abstract":"","PeriodicalId":35475,"journal":{"name":"International Journal of Management and Decision Making","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijmdm.2020.108647","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66702536","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 : 2020-01-01DOI: 10.1504/IJMDM.2020.10022200
Detcharat Sumrit
Technological innovation capabilities (TICs) are currently one of the essential factors to enhance the competitiveness of enterprises. The measurement of TICs is a complicated decision making process and quite difficult to perform because its assessment involves multi-attribute criteria and the subjective judgements of experts. To solve these problems, this study provides a TICs evaluating model by employing a hybrid multi-criteria decision making (MCDM) technique. This method is an integration of four approaches, consisting of: 1) fuzzy Delphi; 2) fuzzy DEMATEL; 3) analytical network process; 4) technique for order preference by similarity to an ideal solution (TOPSIS). The final results showed the measurement criteria, the interrelationship and the relative important weights among criteria and the ranking of TICs of firms. An empirical study is also illustrated in Thai automotive parts firms as a case study. Furthermore, this study could assist industrial managers to efficiently evaluate TICs and its direction of improvement.
{"title":"A hybrid multi-criteria decision making model for technological innovation capabilities measurement in automotive parts industry","authors":"Detcharat Sumrit","doi":"10.1504/IJMDM.2020.10022200","DOIUrl":"https://doi.org/10.1504/IJMDM.2020.10022200","url":null,"abstract":"Technological innovation capabilities (TICs) are currently one of the essential factors to enhance the competitiveness of enterprises. The measurement of TICs is a complicated decision making process and quite difficult to perform because its assessment involves multi-attribute criteria and the subjective judgements of experts. To solve these problems, this study provides a TICs evaluating model by employing a hybrid multi-criteria decision making (MCDM) technique. This method is an integration of four approaches, consisting of: 1) fuzzy Delphi; 2) fuzzy DEMATEL; 3) analytical network process; 4) technique for order preference by similarity to an ideal solution (TOPSIS). The final results showed the measurement criteria, the interrelationship and the relative important weights among criteria and the ranking of TICs of firms. An empirical study is also illustrated in Thai automotive parts firms as a case study. Furthermore, this study could assist industrial managers to efficiently evaluate TICs and its direction of improvement.","PeriodicalId":35475,"journal":{"name":"International Journal of Management and Decision Making","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66702705","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 : 2020-01-01DOI: 10.1504/ijmdm.2020.10025700
Anjali Singh, Anjana Gupta
In this paper, a new methodology, inspired by the PROMETHEE II method, is proposed to analyse and elucidate the decision making problems under the 2-tuple linguistic framework. The approach primarily gives prominence to decision problems with a large number of alternatives and criteria. The featuring essence of the algorithm is extraneity of the criteria weights, an imperative prerequisite for linguistic PROMETHEE II method. A case study to examine the energy efficiency of eight regions worldwide based on numerous energy efficiency indicators, as reported in World Energy Council (WEC) 8th triennial report on energy efficiency policies, is explored under the 2-tuple linguistic framework to manifest the applicability of the proposed methodology. The validity of the acquired rank of the regions is ascertained from the outlook of rank correlation coefficient. The algorithm evinces high correlation with prominent extant multi-criteria decision making (MCDM) methods to indicate the efficacy and competency of the proposed method.
{"title":"Best criteria selection based PROMETHEE II to aid decision-making under 2-tuple linguistic framework: case-study of the most energy efficient region worldwide","authors":"Anjali Singh, Anjana Gupta","doi":"10.1504/ijmdm.2020.10025700","DOIUrl":"https://doi.org/10.1504/ijmdm.2020.10025700","url":null,"abstract":"In this paper, a new methodology, inspired by the PROMETHEE II method, is proposed to analyse and elucidate the decision making problems under the 2-tuple linguistic framework. The approach primarily gives prominence to decision problems with a large number of alternatives and criteria. The featuring essence of the algorithm is extraneity of the criteria weights, an imperative prerequisite for linguistic PROMETHEE II method. A case study to examine the energy efficiency of eight regions worldwide based on numerous energy efficiency indicators, as reported in World Energy Council (WEC) 8th triennial report on energy efficiency policies, is explored under the 2-tuple linguistic framework to manifest the applicability of the proposed methodology. The validity of the acquired rank of the regions is ascertained from the outlook of rank correlation coefficient. The algorithm evinces high correlation with prominent extant multi-criteria decision making (MCDM) methods to indicate the efficacy and competency of the proposed method.","PeriodicalId":35475,"journal":{"name":"International Journal of Management and Decision Making","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66702856","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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