Project investment decision making with fuzzy information: A literature review of methodologies based on taxonomy

2016 ◽  
Vol 30 (6) ◽  
pp. 3239-3252 ◽  
Author(s):  
Ming-Gao Dong ◽  
Shou-Yi Li
2015 ◽  
Vol 2015 ◽  
pp. 1-6
Author(s):  
Qing Miao ◽  
Boyang Cao ◽  
Minghui Jiang

This paper establishes the payoff models of the European option for research and development (R&D) projects with two enterprises in a research joint venture (RJV). The models are used to assess the timing and payoffs of the R&D project investment under quantified uncertainties. After the option game, the two enterprises can make optimal investment decision for the R&D project investment in the RJV.


2015 ◽  
Vol 7 (1) ◽  
pp. 88-108 ◽  
Author(s):  
Satish Kumar ◽  
Nisha Goyal

Purpose – The purpose of this paper is to systematically review the literature published in past 33 years on behavioural biases in investment decision-making. The paper highlights the major gaps in the existing studies on behavioural biases. It also aims to raise specific questions for future research. Design/methodology/approach – We employ systematic literature review (SLR) method in the present study. The prominence of research is assessed by studying the year of publication, journal of publication, country of study, types of statistical method, citation analysis and content analysis on the literature on behavioural biases. The present study is based on 117 selected articles published in peer- review journals between 1980 and 2013. Findings – Much of the existing literature on behavioural biases indicates the limited research in emerging economies in this area, the dominance of secondary data-based empirical research, the lack of empirical research on individuals who exhibit herd behaviour, the focus on equity in home bias, and indecisive empirical findings on herding bias. Research limitations/implications – This study focuses on individuals’ behavioural biases in investment decision-making. Our aim is to analyse the impact of cognitive biases on trading behaviour, volatility, market returns and portfolio selection. Originality/value – The paper covers a considerable period of time (1980-2013). To the best of authors’ knowledge, this study is the first using systematic literature review method in the area of behavioural finance and also the first to examine a combination of four different biases involved in investment decision-making. This paper will be useful to researchers, academicians and those working in the area of behavioural finance in understanding the impact of behavioural biases on investment decision-making.


2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Satish K. Mittal

Purpose This paper developed a theoretical and research framework by identifying the behavioral biases in investment decision and by presenting a review of the available literature in the field of behavior finance-related biases. This paper aims to present a compressive review of the literature available in the public domain in past five decades on behavior finance and biases and its role in investment decision-making process. It also covers insights on the subject for developing a deeper understating of the behavior of investor and related biases. Design/methodology/approach The work follows the comprehensive literature review approach to review the available literatures. The review carried out on different parameters such as year of publication, journal of publication, country, type of research, data type, statistical technique used and biases identified. This is a funnel approach to decrease the number of behavior biases up to six for further research. Findings Most of the existing works have summarized behavior finance as an emerging area in finance. This indicates the limited valuable research in developing economy in this area. This literature review helps in identifying major research gap in this domain. It helps in identifying the behavior biases which work dominantly in investment decision-making. It would be interesting to explore the area of behavior biases and their impact on investment decision of individual investors in India. Originality/value This paper worked on literature prevailing on the subject and available on various online research data source and search engines. It covers a long time frame of almost five decades (1970-2015). This paper is an attempt to look at the impact of behavior finance and biases and its role in investment decision-making process of the investor behavior. This study builds up a strong theoretical framework for researchers and academicians by detailed demonstration of available literature on behavior biases.


Author(s):  
Caichuan Wang ◽  
Jiajun Li

The decision on the investment project is to analyze the feasibility and rationality of the project plan from multiple angles. However, due to the limitations of the actual project investment decision-making, this paper proposes a group decision making method based multifunctional intuitively fuzzy VIKOR interval sets. Firstly, according to the established investment decision-making model, the first round of preliminary candidate project schemes is selected. According to the definition of interval intuitionistic fuzzy sets and the traditional VIKOR method, established the research method of this article, and the project investment decision-making model based on VIKOR interval intuitionistic fuzzy sets is established. Finally, the project schemes are sorted according to the closeness degree of schemes. The results show that when sorting each candidate by Qi value, A4 >  A3 >  A2 >  A1 can be obtained. Because Q4 = 0, Q3 = 0.31, the condition q3-q4 >  0.25 is satisfied. It is concluded that the method can not only meet the needs of actual decision-making, but also has strong operability and practicability. The research results have reference value and guiding significance for project investment decision-making, and can promote the sustainable development of the project.


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