Behavioural biases in investment decision making – a systematic literature review

2015 ◽  
Vol 7 (1) ◽  
pp. 88-108 ◽  
Author(s):  
Satish Kumar ◽  
Nisha Goyal
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Empirical Research ◽  
Systematic Literature Review ◽  
Investment Decision ◽  
Future Research ◽  
Behavioural Finance ◽  
Content Type ◽  
Investment Decision Making ◽  
The Impact

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.

Cognitive biases and decision-making strategies in times of change: a systematic literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chiara Acciarini ◽  
Federica Brunetta ◽  
Paolo Boccardelli
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Cognitive Biases ◽  
Future Research ◽  
Strategic Decisions ◽  
Data Set ◽  
Content Type ◽  
The Impact

PurposeIn a work environment marked by unprecedented complexity, volatility and ambiguity, managers must accomplish their objectives while navigating many challenges. This paper aims to investigate potential interrelations among environmental transformations, cognitive biases and strategic decisions. In particular, the purpose of the study is to crystallize the state of art on the impact of cognitive biases on strategic decisions, in the context of environmental transformations.Design/methodology/approachThe authors have conducted a systematic literature review to identify existing relevant work on this topic and to detect potential avenues for future research.FindingsThe findings highlight how decision-making is influenced and enabled by internal (e.g. perception) and external factors (e.g. digitalization). Specifically, the strategic role of cognitive biases appears to be crucial when investigating the related impact on strategic decisions in times of environmental transformation.Practical implicationsImplications are drawn for scholars and practitioners interested in evaluating the role of specific decision-making determinants for the formation and implementation of strategic decisions. In this sense, we stress that decision-makers need to manage their cognitive biases and select the right information out of a wide data set in order to adapt to environmental transformations.Originality/valueBy systematizing the literature review, potential interrelations among environmental transformations, cognitive biases and strategic decisions are identified. Furthermore, the primary phases that drive the decision-making process are proposed (analysis, decision, onboarding and control).

A systematic review of e-tail product returns and an agenda for future research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kamrul Ahsan ◽  
Shams Rahman
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Research Area ◽  
Future Research ◽  
Product Returns ◽  
Content Type ◽  
People Skills ◽  
New Research ◽  
Returns Management ◽  
The Impact

PurposeThis study conducts a systematic literature review of e-tail product returns research. E-tail product returns are essentially acquisition of products that have been sold through purely online or brick-and-click channels and then returned by consumer to business.Design/methodology/approachUsing a systematic literature review protocol, we identified 75 peer-reviewed articles on e-tail product returns, conducted bibliometric analysis and content analysis of the articles and summarised our findings.FindingsThe findings reveal that the subject of e-tail returns is a new research area; academics have started to investigate several aspects of e-tail returns through different research methodologies and theoretical foundations. Further research is required in leading e-commerce countries and on key areas such as omni-channel returns management, customer satisfaction and service, the impact of resources such as people skills, the benefits of technology and IT systems in managing e-tail returns.Practical implicationsThe study offers a summative account of current e-tail knowledge areas, which can serve as a reference guide for e-tailers to develop strategies for more efficient and competitive product returns.Originality/valueThis study contributes theoretically by developing clusters of key themes or knowledge areas about e-tail returns. It also provides a conceptual framework for e-tail returns management, which can be used as a springboard for further empirical research.

The influence of big data analytics management capabilities on supply chain preparedness, alertness and agility

2019 ◽  
Vol 32 (2) ◽  
pp. 297-318 ◽  
Author(s):  
Santanu Mandal
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Supply Chain ◽  
Data Analytics ◽  
Investment Decision ◽  
Big Data Analytics ◽  
Content Type ◽  
Investment Decision Making ◽  
Management Capabilities ◽  
The Impact

Purpose The importance of big data analytics (BDA) on the development of supply chain (SC) resilience is not clearly understood. To address this, the purpose of this paper is to explore the impact of BDA management capabilities, namely, BDA planning, BDA investment decision making, BDA coordination and BDA control on SC resilience dimensions, namely, SC preparedness, SC alertness and SC agility. Design/methodology/approach The study relied on perceptual measures to test the proposed associations. Using extant measures, the scales for all the constructs were contextualized based on expert feedback. Using online survey, 249 complete responses were collected and were analyzed using partial least squares in SmartPLS 2.0.M3. The study targeted professionals with sufficient experience in analytics in different industry sectors for survey participation. Findings Results indicate BDA planning, BDA coordination and BDA control are critical enablers of SC preparedness, SC alertness and SC agility. BDA investment decision making did not have any prominent influence on any of the SC resilience dimensions. Originality/value The study is important as it addresses the contribution of BDA capabilities on the development of SC resilience, an important gap in the extant literature.

scholarly journals How do emotional intelligence and behavioral biases of investors determine their investment decisions?

2020 ◽  
Vol 14 (1) ◽  
pp. 35-47
Author(s):  
Saloni Raheja ◽  
Babli Dhiman
Keyword(s):  
Decision Making ◽  
Stock Exchange ◽  
Investment Decision ◽  
Sample Selection ◽  
Investment Decisions ◽  
Risk Tolerance ◽  
Content Type ◽  
Behavioral Biases ◽  
Investment Decision Making ◽  
The Impact

Purpose In earlier studies, research has shown that EI is the only element, which influences the ways in which people develop in their lives, jobs and social skills control their emotions and get along with other people. It is EI that dictates the way people deal with one another and understand emotions. The research gap is to explore the impact of behavioral factors and investors psychology on their investment decision-making. Design/methodology/approach The information was gathered from 500 financial specialists. The region of research was the financial specialists who contribute through LSC Securities Ltd. in Punjab State. The purposive testing system was used in this examination. Findings The investigation found that the positive connection between the conduct predispositions of the financial specialists and venture choices of the speculators and positive connection between enthusiastic insight of the financial specialists and their venture choices. Yet, the authors found that the enthusiastic insight better foresees the venture choices of the financial specialists than the conduct predispositions of the speculators. Among the different elements of conduct inclinations of the speculator’s lament and carelessness are identified with the financial specialist’s venture choices. Among the various estimations of eager understanding – care, dealing with emotions, motivation, empathy and social aptitudes are related to the hypothesis decisions of the monetary pros. Research limitations/implications The sample selection was based on purposive sampling, rather than a random probability sample. The sample was area specific, restricted only to Ludhiana Stock Exchange in Punjab state. Therefore, the results of the study cannot be generalized with certainty to all the investors investing through other exchanges in other states. The inferences are based on the assumption that the data provided by the investors are true and correct. The findings may be relevant for other stock exchanges as that of the Ludhiana Stock Exchange. However, the authors do not claim the generalization of the results. Practical implications This study also helps to understand the relationship between investment decision-making and risk tolerance of investors. It will helpful for the financial advisors to know the behavioral biases of investors while making an investment decision, and therefore, they can advise investors properly to mitigate such biases. It may help the investors in understanding the subjective part of their behavior and control their emotions while taking decisions for their investment in stock market options. Social implications This research will help investment advisors and finance professionals to judge investors’ attitudes toward risk in a better way, which leads to better investment decisions. Originality/value This study is my own study and it is original and has not been published anywhere.

scholarly journals Influence of Behavioural Biases on Investment Decision Making in Bhubaneswar Region

2019 ◽  
Vol 8 (3) ◽  
pp. 8297-8301
Keyword(s):  
Decision Making ◽  
Investment Decision ◽  
Descriptive Analysis ◽  
Sampling Technique ◽  
Primary Data ◽  
Behavioural Finance ◽  
Investment Decision Making ◽  
Retail Investors ◽  
The Individual ◽  
The Impact

Behavioural Finance has gained a lot more importance in recent era. In the fast moving world where the standard finance fails to explain the irrational behavior of the investors, behavioural finance tries to identify the cause for such behavior which otherwise called as behavioural anomalies. The purpose of this research paper is to identify such anomalies and also to examine whether the behavioural biases has any influence in the investment decision making by the retail investors. This paper also put an emphasis to find out which among the different biases has the most and least influence on the individual investment decision making process. This study has used primary data for knowing the impact of factors such as gender, age, occupation, income, sector preference, and instruments preferred for investments, source of information, intention behind investment and consideration before investment. Descriptive analysis has been done to check the impact of these factors along with correlation and other. The sampling technique used here is non-probabilistic convenience sampling. The data has been collected through structured questionnaire based on five point Likert scale from the retail investors of Bhubaneswar region. This research shall interest the company, policy makers and the issuers of securities about the interest and preferences of individuals before issuing securities in the market.

Behavior biases and investment decision: theoretical and research framework

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Satish K. Mittal
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Investment Decision ◽  
Research Data ◽  
Decision Making Process ◽  
Content Type ◽  
Research Framework ◽  
Investment Decision Making ◽  
Behavior Finance ◽  
The Subject

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.

The disruption of blockchain in auditing – a systematic literature review and an agenda for future research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rosa Lombardi ◽  
Charl de Villiers ◽  
Nicola Moscariello ◽  
Michele Pizzo
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Empirical Studies ◽  
Theory And Practice ◽  
Future Research ◽  
Content Type ◽  
Main Research ◽  
Research Areas ◽  
The Impact ◽  
Practical Implications

PurposeThis paper presents a systematic literature review, including content and bibliometric analyses, of the impact of blockchain technology (BT) in auditing, to identify trends, research areas and construct an agenda for future research.Design/methodology/approachThe authors include studies from 2010 to 2020 in their structured literature review (SLR), using accounting journals on the Scopus database, which yielded 40 articles with blockchain and auditing at its core.FindingsOne of the contributions of the authors’ analyses is to group the prior research, and therefore also the agenda for future research, into three main research areas: (1) Blockchain as a tool for auditing professionals to improve business information systems to save time and prevent fraud; (2) Smart contracts enabling Audit 4.0 efficiency, reporting, disclosure and transparency; (3) Cryptocurrency and initial coin offerings (ICOs) as a springboard for corporate governance and new venture financing. The authors’ findings have several important implications for practice and theory.Practical implicationsThe results of this study emphasise that (1) the disruption of blockchain in auditing is in a nascent phase and there is a need for compelling empirical studies and potential for the involvement of practitioners; (2) there may be a need to reconsider audit procedures especially suited for digitalisation and BT adoption; (3) standards, guidelines and training are required to pivot towards and confront the challenge BT will represent for auditing; and (4) there are two sides to the BT coin for auditing, enthusiasm about the potential and risk upon implementation. These practical implications can also be seen as a template for future research in a quest to align theory and practice.Originality/valueThe authors’ SLR facilitates the identification of research areas and implications, forming a useful baseline for practitioners, professionals and academics, as they draft the state of the art on the disruption of blockchain in auditing, highlighting how BT is changing auditing activities and traditions.

Organizational adoption of 3D printing technology: a semisystematic literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Desiree Valeria Ukobitz
Keyword(s):  
Decision Making ◽  
3D Printing ◽  
Literature Review ◽  
Strategic Decision ◽  
Future Research ◽  
Managerial Decision ◽  
Organizational Adoption ◽  
Content Type ◽  
Theoretical Concepts ◽  
The Impact

PurposeThree-dimensional (3D) printing (3DP) offers a promising value proposition across multiple manufacturing industries. Despite the variety of production benefits the technology entails, its rate of adoption is still low compared to industry forecasts. In face of this challenge, industry as well as academia requires more information and guidance. This review aims to examine the characteristics of the existing body of research on the organizational adoption of 3DP as well as its underlying theoretical concepts. The most common criteria driving adoption will be derived, such as to facilitate the managerial decision-making process. Pathways for future research will be presented.Design/methodology/approachThis study underlies a bibliometric literature review and additionally applies content analysis to systematically investigate the existing body of research and group decision criteria along the four major pillars of strategic decision-making.FindingsThe contributions of this paper are threefold. First, the bibliometric analysis reveals interesting aspects of the existing body of research. The most prominent characteristics of the contemporary literature are reflected along descriptive indicators, such as industry, method, model, origin, research outlet or adoption drivers, thus granting relevant insights into academia and practice. Second, the most notable adoption models are carefully analyzed on their inherent attributes and their application fit for the context of organizational 3DP adoption. Findings, for instance, revealed the dominance of diffusion of innovation (DOI) across the existing body of research and divulge that this construct is generally applied in combination with user-centered decision frameworks to yield more precise results. Third, an ample range of opportunities for future research are detected and thoroughly explained. Among others, the authors identified a clear lack of information on the impact environmental variables and contingency factors exerted on the organizational adoption of 3DP. Guidance in relation to the sourcing of industry data, usage of adoption frameworks and avenues for future scientific projects is supplied.Originality/valueThis study represents the first semi-systematic literature review on the organizational adoption of 3DP. Thus, it not only offers a valuable evaluation guide for potential adopters but also determines a future research agenda.

Rural health enterprises in the EU context: a systematic literature review and research agenda

2020 ◽  
Vol 14 (4) ◽  
pp. 563-582 ◽  
Author(s):  
Nikolaos Apostolopoulos ◽  
Vanessa Ratten ◽  
Stavros Stavroyiannis ◽  
Ilias Makris ◽  
Sotiris Apostolopoulos ◽  
...  
Keyword(s):  
Literature Review ◽  
Rural Health ◽  
Systematic Literature Review ◽  
Rural Areas ◽  
Future Research ◽  
Health Providers ◽  
Content Type ◽  
Entrepreneurial Activities ◽  
The Impact ◽  
The Eu

Purpose The COVID-19 crisis has brought to the forefront the importance of rural health enterprises (RHEs), the peculiarity, in these terms, of rural areas, and the impact of rurality on health entrepreneurial activities. This paper aims to undertake a literature review regarding RHEs in the EU, identify research gaps and set future research directions. Design/methodology/approach A systematic literature review was conducted and the key aspects coded across four thematic areas – after examining 68 papers. Findings The findings reveal that more intense research should be conducted across four area which emerged; rural health providers vs urban health providers; RHEs and rural development; RHEs and quality of life; and social RHEs. Research limitations/implications Future research avenues were identified and suggestions for further research on RHEs were provided. Practical implications The paper provides insights into how rural areas can attract health enterprises and how health enterprises can operate in rural areas. Originality/value This research expands on the limited existing knowledge of RHEs and sets the foundations for further research.

Social media platforms and sleep problems: a systematic literature review, synthesis and framework for future research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Puneet Kaur ◽  
Amandeep Dhir ◽  
Amal Khalifa Alkhalifa ◽  
Anushree Tandon
Keyword(s):  
Social Media ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Media Use ◽  
Future Research ◽  
Social Media Use ◽  
Content Type ◽  
Research Profile ◽  
Social Media Platforms ◽  
The Impact

PurposeThis study is a systematic literature review (SLR) on prior research examining the impact of the nocturnal use of social media platforms on a user's sleep, its dimensions and its perceptually allied problems. This SLR aims to curate, assimilate and critically examine the empirical research in this domain.Design/methodology/approachForty-five relevant studies identified from the Scopus and Web of Science (WoS) databases were analyzed to develop a comprehensive research profile, identify gaps in the current knowledge and delineate emergent research topics.FindingsPrior research has narrowly focused on investigating the associations between specific aspects of social media use behavior and sleep dimensions. The findings suggest that previous studies are limited by research design and sampling issues. We highlight the imperative need to expand current research boundaries through a comprehensive framework that elucidates potential issues to be addressed in future research.Originality/valueThe findings have significant implications for clinicians, family members and educators concerning promoting appropriate social media use, especially during sleep latency.

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