Exploring the Triple Reciprocity Nature of Organizational Value Cocreation Behavior Using Multicriteria Decision Making Analysis

Chuang, Huan-Ming; Lin, Chyuan-Yuh; Chen, You-Shyang

doi:10.1155/2015/206312

Cited by 13 publications

(4 citation statements)

References 54 publications

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“…The Neuroscience is considered a multidisciplinary approach which can be integrated to several areas of knowledge in order to investigate human behavioural (Glimcher & Rustichini, 2004;Dimoka et al, 2007;Fehr &Camerer, 2007;Morin, 2011;Khushaba 2013;Riedl et al, 2014). Regarding to MCDM/A approach, a few numbers of studies which use neuroscience tools to investigate Decision-Makers (DMs) preferences have been found in literature (Trepel et al, 2005;Özerol & Karasakal, 2008;Barberis & Xiong, 2009;Hunt et al, 2014;Chuang et al, 2015;Nermend, 2017.…”

Section: Developing Methodological Aspects Of Fitradeoff Methods With...mentioning

confidence: 99%

A Summary on Fitradeoff Method With Methodological and Practical Developments and Future Perspectives

et al. 2023

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This paper presents a broad overview of main contributions related to the FITradeoff (Flexible and Interactive Tradeoff) method. FITradeoff is a multicriteria method developed within the scope of the Multiattribute Value Theory (MAVT), considering partial information from the decision maker (DM) in the preference modelling process. Over the last few years, several methodological developments on this method have been published in the literature, as well as practical applications to a wide range of multicriteria decision problems. The most recent methodological advances are related to preference modelling process, which now integrate the two paradigms of elicitation by decomposition and holistic evaluation. Furthermore, contributions from behavioral studies, some of them including decision neuroscience, have enhanced the DSS free available for FITradeoff. In this paper, all previously developed works related to the FITradeoff method are approached, considering both methodological developments and practical applications. A summary on the different modeling approaches for solving different decision problematics (choice, ranking, sorting and portfolio) with FITradeoff is presented. The recently proposed combination of preference modeling paradigms -elicitation by decomposition and holistic evaluation -within the FITradeoff decision process is explained, as well its potential advantages for the elicitation process. Moreover, a brief review on the practical applications of the method in different contexts is presented. In addition, this work also brings a summary on the results of behavioral experiments conducted using neuroscience tools with the FITradeoff method, as well the methodological insights resulted from them, and future perspectives of potential research topics related to the FITradeoff method.

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Section: Developing Methodological Aspects Of Fitradeoff Methods With...mentioning

confidence: 99%

A Summary on Fitradeoff Method With Methodological and Practical Developments and Future Perspectives

et al. 2023

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“…In the MCDM/A context, there are some studies in the literature, such as Nermend (2017), Chuang et al (2015), Özerol andKarasakal (2008), Trepel et al (2005) and Barberis and Xiong (2009). However, according to Hunt et al (2014), the MCDM/A approach is not very integrated with the neuroscience approach, and further in-depth studies on this theme should be undertaken.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the MCDM/A context, there are some studies in the literature, such as Nermend (2017), Chuang et al. (2015), Özerol and Karasakal (2008), Trepel et al. (2005) and Barberis and Xiong (2009).…”

Section: Literature Reviewmentioning

confidence: 99%

The use of the success‐based decision rule to support the holistic evaluation process in FITradeoff

Roselli

Almeida

2021

Int Trans Operational Res

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The flexible and interactive tradeoff (FITradeoff) method is a multi-criteria decision-making/aiding (MCDM/A) method in the context of the multi-attribute value theory. The implementation of the FITradeoff method is supported by a decision support system (DSS), which includes an elicitation procedure for scaling constants with the flexibility of including a holistic evaluation. The holistic evaluation has graphics that can be used to assist decision-makers (DMs) during the FITradeoff decision process. In this context, three neuroscience experiments have been conducted to investigate how a DM uses the graphics to evaluate an MCDM/A problem. Thus, the main contribution of this paper is to propose the success-based decision rule. Based on this rule, recommendations are made concerning the holistic evaluation. The first is that this rule can assist the analyst to advise DMs with information on the visualization's probability of success. Second, this rule suggests improvements that can be made to the design of the FITradeoff DSS.

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“…The mentioned combination of ZOGP, ANP, and DEMATEL is applied for evaluating entrepreneurship policy of a company [170]. The latest applications analyze a variety of problems: measuring enterprises readiness for institutionalization [164], decision support for corporate social responsibility [165], examining organizational value cocreation [166], default prediction [181], and prioritizing risks [182]. In terms of methodology, Hashemkhani Zolfani et al [168] apply a hybrid of two rather novel methods, i.e.…”

Section: Hmcdm Applications In Industrial and Manufacturing Engineerimentioning

confidence: 99%

Hybrid Multiple Criteria Decision Making Methods: A Review of Applications in Engineering

et al. 2016

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Abstract. To support evaluation and selection processes in engineering, formal decisionmaking methods can be used. A great number of works applying diverse Multiple-Criteria Decision-Making (MCDM) techniques for engineering problems have been published recently. A new approach of hybrid MCDM methods has been developed, rapidly, during the past few years. The current paper aims at lling the gap and summarizing publications related to applications of hybrid MCDM for engineering. The study is limited solely to papers referred in Thomson Reuters Web of Science Core Collection academic database. It aims to review how the papers have been distributed by period of publishing and by country; multiple-criteria decision-making methods have been used, most frequently, in developing hybrid approaches and in domains the methods have been applied for. For a more detailed analysis of applications, journal articles from engineering research area were grouped by research domains and further by analyzed issues. Findings of the current review paper con rm that hybrid MCDM approaches, due to their abilities in integrating di erent techniques, can assist in handling miscellaneous information taking into account stakeholders' preferences when making decisions in engineering.

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Exploring the Triple Reciprocity Nature of Organizational Value Cocreation Behavior Using Multicriteria Decision Making Analysis

Cited by 13 publications

References 54 publications

A Summary on Fitradeoff Method With Methodological and Practical Developments and Future Perspectives

A Summary on Fitradeoff Method With Methodological and Practical Developments and Future Perspectives

The use of the success‐based decision rule to support the holistic evaluation process in FITradeoff

Hybrid Multiple Criteria Decision Making Methods: A Review of Applications in Engineering

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