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1 – 10 of over 54000This paper describes how financial professionals' behavioral biases influence their financial forecast and decision-making process. Most of the earlier studies are focused on…
Abstract
Purpose
This paper describes how financial professionals' behavioral biases influence their financial forecast and decision-making process. Most of the earlier studies are focused on well-developed financial markets, and little is researched about financial professionals, such as institutional investors, portfolio managers, investment advisors, financial analysts, etc., in emerging markets.
Design/methodology/approach
An expert-validated questionnaire measure four prominent behavioral biases and Indian financial professionals' rational decision-making process. The final sample consists of 274 valid responses using the purposive sampling technique. IBM SPSS and AMOS structural equation modeling (SEM) software are used to build measurement and structural models, multivariate analysis including regression, factor analysis, etc.
Findings
The results provide empirical insights into the relationship between behavioral biases and the decision-making process. The results suggest that the structural path model closely fits the sample data. The presence of behavioral biases indicates that financial professionals' forecasting and decision-making is not always rational but bounded rational or irrational due to these factors. Furthermore, these biases (except overconfidence bias) have a markedly significant and positive relationship with irrational decision-making.
Research limitations/implications
It is critical to eradicate these psychological errors, but awareness and attentiveness toward behavioral biases may help financial professionals to make informed decisions. Investors can improve their portfolio decisions and investments by recognizing their judgment errors and focusing on specific investment strategies to mitigate the impact of these biases. It is necessary to incorporate behavioral insights while developing training techniques for financial professionals. Rules of thumb, visual tools, financial coaching and implementing social-cultural elements in training programs enable financial professionals to develop simple, engaging, appealing and customized approaches for their clients.
Originality/value
This novel study is the first of this kind of research that examines the relationship between financial professionals' behavioral biases and rational decision-making process. This study significantly and remarkably provides insights into irrationality in financial professionals' decision-making.
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The overall purpose of the study is to identify the impact of heuristics, prospect theory biases and personality traits on property investment decision-making of rank and file…
Abstract
Purpose
The overall purpose of the study is to identify the impact of heuristics, prospect theory biases and personality traits on property investment decision-making of rank and file individuals in Kosovo, with a concentration in Prishtina, which is the city with the largest number of investors and property transactions in Kosovo.
Design/methodology/approach
The present study used quantitative research with the questionnaire used as a research instrument. The questionnaire survey was conducted with 1,209 rank and file property investors in Prishtina, Kosovo. The sampling method used in this research was stratified random sampling.
Findings
The study finds that heuristics, prospect theory biases and personality traits as a whole model affect investment decision-making in Prishtina, Kosovo. Nevertheless, the study finds that not all dimensions of the constructed research model (heuristics, the prospect theory and personality) affect the property investment decision-making in Prishtina at the same level. Whereas prospect theory biases (regret aversion, framing and self-control) seem to very strongly influence property investment decision-making of rank and file investors in Prishtina, personality traits (conscientiousness, neuroticism and openness to new experiences) seem not to affect the real estate investment decision-making. Finally, heuristics biases also strongly influence the real estate investment decision-making with a strong statistically significant explanatory power but not to the same degree as prospect theory biases.
Practical implications
The present study contributes toward the understanding of the role that is played by heuristics, prospect theory biases and personality traits in Kosovo's property investment industry. More importantly, the implication of the results of the present study is that it goes some way toward enhancing understanding of heuristic and prospect theory-driven biases and their influence on property investment decision-making in a developing economy. The present study paves the way to further analyze why personality traits do not influence property investment decision-making in Kosovo.
Originality/value
The present study is the first quantification of the impact of heuristics, prospect theory biases and personality traits on the investment decision-making of rank and file individuals in Prishtina, Kosovo.
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This work aims to shed light on the cognitive biases that may have an influence on the strategic decision-making process, with a particular focus on those impacting both human…
Abstract
Purpose
This work aims to shed light on the cognitive biases that may have an influence on the strategic decision-making process, with a particular focus on those impacting both human resources (HR) standard activities within organizations and new innovative change management initiatives critical for them to survive.
Design/methodology/approach
This is a conceptual paper based on a literature review on cognitive biases and managerial decision-making. The conceptual approach is employed to outline how subjective cognitive barriers can undermine managerial decisions and, in particular, the objectivity of HR practices and change management initiatives.
Findings
The discussion emphasizes that cognitive biases are ever-present elements in the decision-making process of professionals, and they influence several areas of management including HR and change management.
Research limitations/implications
Limitations of the study concern the method adopted, as it is conceptual. The implications of the paper are relevant for supervisors and employees working in the HR and innovation/R&D departments in order to create awareness within the organizational contexts and limit the negative influence of these cognitive barriers during their daily activities.
Originality/value
The research contributes to the knowledge on HR management and decision-making process by combining literature findings with practical examples and tips suggesting how to avoid biases in the decision-making process regarding HR and change management.
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Maqsood Ahmad, Syed Zulfiqar Ali Shah and Yasar Abbass
This article aims to clarify the mechanism by which heuristic-driven biases influence the entrepreneurial strategic decision-making in an emerging economy.
Abstract
Purpose
This article aims to clarify the mechanism by which heuristic-driven biases influence the entrepreneurial strategic decision-making in an emerging economy.
Design/methodology/approach
Entrepreneurs' heuristic-driven biases have been measured using a questionnaire, comprising numerous items, including indicators of entrepreneurial strategic decision-making. To examine the relationship between heuristic-driven biases and entrepreneurial strategic decision-making process, a 5-point Likert scale questionnaire has been used to collect data from the sample of 169 entrepreneurs who operate in small- and medium-sized enterprises (SMEs). The collected data were analyzed using SPSS and Amos graphics software. Hypotheses were tested using structural equation modeling (SEM) technique.
Findings
The article provides empirical insights into the relationship between heuristic-driven biases and entrepreneurial strategic decision-making. The results suggest that heuristic-driven biases (anchoring and adjustment, representativeness, availability and overconfidence) have a markedly negative influence on the strategic decisions made by entrepreneurs in emerging markets. It means that heuristic-driven biases can impair the quality of the entrepreneurial strategic decision-making process.
Practical implications
The article encourages entrepreneurs to avoid relying on cognitive heuristics or their feelings when making strategic decisions. It provides awareness and understanding of heuristic-driven biases in entrepreneurial strategic decisions, which could be very useful for business actors such as entrepreneurs, managers and entire organizations. Understanding regarding the role of heuristic-driven biases in entrepreneurial strategic decisions may help entrepreneurs to improve the quality of their decision-making. They can improve the quality of their decision-making by recognizing their behavioral biases and errors of judgment, to which we are all prone, resulting in a more appropriate selection of entrepreneurial opportunities.
Originality/value
The current study is the first to focus on links between heuristic-driven bias and the entrepreneurial strategic decision-making in Pakistan—an emerging economy. This article enhanced the understanding of the role that heuristic-driven bias plays in the entrepreneurial strategic decisions and more importantly, it went some way toward enhancing understanding of behavioral aspects and their influence on entrepreneurial strategic decision-making in an emerging market. It also adds to the literature in the area of entrepreneurial management specifically the role of heuristics in entrepreneurial strategic decision-making; this field is in its initial stage, even in developed countries, while, in developing countries, little work has been done.
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The purpose of this conceptual paper is to examine how a focal firm's decision‐making biases at each stage of the alliance life cycle can cause alliance failures such as premature…
Abstract
Purpose
The purpose of this conceptual paper is to examine how a focal firm's decision‐making biases at each stage of the alliance life cycle can cause alliance failures such as premature termination and less‐than‐expected productivity.
Design/methodology/approach
A dyadic decision‐making approach is used to examine the consequences of decision‐making biases in the evolution of alliances. Concrete cases are presented to substantiate the arguments.
Findings
Paying insufficient attention to an alliance partner's behavior causes different judgmental mistakes or decision‐making biases at different stages of the alliance life cycle. These biases can lead to alliance failure.
Research limitations/implications
Dyadic decision making provides a framework to explain persistent but poorly understood dysfunctional behavior in alliances. Although previous authors have acknowledged that safeguards and trust are effective ways to reduce dysfunctional behavior, their mechanisms are still unclear. The paper's arguments suggest that decision‐making biases may serve as crucial mediators of the relationship between governance designs (safeguards or trust) and alliance outcomes. Future work can provide evidence to verify this postulate.
Practical implications
Decision‐making biases emerge in the evolution of alliances and influence alliance performance. Understanding the influence of biases helps to prevent their negative effects and reduces the probability of alliance failure.
Originality/value
Dyadic decision making provides a behavioral framework that complements traditional economic and organizational perspectives in explaining interorganizational decision‐making outcomes in the real world. Three kinds of biases – overconfidence, single outcome calculation, and adjustment and anchoring – are discussed in the paper. The paper addresses how these biases can emerge in the alliance life cycle and lead to various types of dysfunctional behavior, which, in turn, may cause alliance failures such as premature termination and less‐than‐expected productivity.
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Ankita Bhatia, Arti Chandani, Rajiv Divekar, Mita Mehta and Neeraja Vijay
Innovation is the way of life and we see various innovative techniques and methods being introduced in our daily life. This study aims to focus on digital innovation in the wealth…
Abstract
Purpose
Innovation is the way of life and we see various innovative techniques and methods being introduced in our daily life. This study aims to focus on digital innovation in the wealth management domain. This study examines the effect of usage of robo-advisory services in investment decision-making and behavioural biases, i.e. overconfidence and loss aversion. Such studies are more pronounced in developed countries and little has been studied about investor behaviour in association with advisory services in developing countries such as India.
Design/methodology/approach
Overconfidence and loss-aversion biases, investment decision-making and advisory services questions are measured using a five-point Likert scale. The number of respondents was 172 investors. A purposive sampling is used for gathering responses from investors. Structural equation modeling model was run using AMOS 22 version software package.
Findings
The authors found that behavioural biases positively and significantly influence the irrationalities of investment decision-making. The findings of this study also provide empirical evidence that the usage of robo-advisory services, by individual investors, is still incapable of mitigating behavioural biases, such as overconfidence bias and loss-aversion bias.
Research limitations/implications
The sample size of this study could be a limiting factor. This study is limited only to two biases, while other behavioural biases affect the investment decision-making of the investors, which can be considered for future research along with the impact of robo-advisory services in different socio-cultural backgrounds.
Practical implications
This study will assist fintech start-ups, banks, architecture of robo advisors, product owners and wealth management service providers improvise their products, platforms and offerings of these automated advisory services. This could help individual investors to mitigate their behavioural biases in investment decision-making.
Social implications
This study is useful to society as the awareness of robo-advisory services is very less, at present, and there is a need to increase the usage of these services to extend the benefit of this to the lower stratum of society. These services would be useful to all investors who find it difficult to afford financial advisors and help them mitigate their behavioural biases for investment decision-making.
Originality/value
This study is the first of its type that establishes the linkage between behavioural biases, digital innovation in fintech, i.e. robo-advisory services and individual investor’s investment decision-making in individual investor of the Indian stock market.
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Managers must make numerous strategic decisions in order to initiate and implement a business model innovation (BMI). This paper examines how managers perceive the management team…
Abstract
Purpose
Managers must make numerous strategic decisions in order to initiate and implement a business model innovation (BMI). This paper examines how managers perceive the management team interacts when making BMI decisions. The paper also investigates how group biases and board members’ risk willingness affect this process.
Design/methodology/approach
Empirical data were collected through 26 in-depth interviews with German managing directors from 13 companies in four industries (mobility, manufacturing, healthcare and energy) to explore three research questions: (1) What group effects are prevalent in BMI group decision-making? (2) What are the key characteristics of BMI group decisions? And (3) what are the potential relationships between BMI group decision-making and managers' risk willingness? A thematic analysis based on Gioia's guidelines was conducted to identify themes in the comprehensive dataset.
Findings
First, the results show four typical group biases in BMI group decisions: Groupthink, social influence, hidden profile and group polarization. Findings show that the hidden profile paradigm and groupthink theory are essential in the context of BMI decisions. Second, we developed a BMI decision matrix, including the following key characteristics of BMI group decision-making managerial cohesion, conflict readiness and information- and emotion-based decision behavior. Third, in contrast to previous literature, we found that individual risk aversion can improve the quality of BMI decisions.
Practical implications
This paper provides managers with an opportunity to become aware of group biases that may impede their strategic BMI decisions. Specifically, it points out that managers should consider the key cognitive constraints due to their interactions when making BMI decisions. This work also highlights the importance of risk-averse decision-makers on boards.
Originality/value
This qualitative study contributes to the literature on decision-making by revealing key cognitive group biases in strategic decision-making. This study also enriches the behavioral science research stream of the BMI literature by attributing a critical influence on the quality of BMI decisions to managers' group interactions. In addition, this article provides new perspectives on managers' risk aversion in strategic decision-making.
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The purpose of this paper is to investigate the relationship between rational decision-making and behavioural biases among individual investors in India, as well as to examine the…
Abstract
Purpose
The purpose of this paper is to investigate the relationship between rational decision-making and behavioural biases among individual investors in India, as well as to examine the influence of demographic variables on rational decision-making process and how those differences manifest themselves in the form of behavioural biases.
Design/methodology/approach
Using a structured questionnaire, a total of 386 valid responses have been collected from May to October 2015. Statistical techniques like t-test, analysis of variance (ANOVA) and Fisher’s least significant difference (LSD) test have been used in this study. Structural equation modelling (SEM) has been used to analyse the relationship between rational decision-making and behavioural biases.
Findings
The findings show that the structural path model closely fits the sample data, indicating investors follow a rational decision-making process while investing. However, behavioural biases also arise in different stages of the decision-making process. It further explores that gender and income have a significant difference with respect to rational decision-making process. Male investors are more prone to overconfidence and herding bias in India.
Research limitations/implications
The findings of the study have significant implication for the individual investors. It is recommended that if individuals are aware about the biases, they may become alert before taking irrational investment decisions.
Originality/value
To best of the authors’ knowledge, the present study is a first of its kind to investigate the relationship between rational decision-making and behavioural biases among individual investors in India.
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Chiara Acciarini, Federica Brunetta and Paolo Boccardelli
In a work environment marked by unprecedented complexity, volatility and ambiguity, managers must accomplish their objectives while navigating many challenges. This paper aims to…
Abstract
Purpose
In 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/approach
The authors have conducted a systematic literature review to identify existing relevant work on this topic and to detect potential avenues for future research.
Findings
The 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 implications
Implications 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/value
By 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).
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Anthony K. Hunt, Jia Wang, Amin Alizadeh and Maja Pucelj
This paper aims to provide an elucidative and explanatory overview of decision-making theory that human resource management and development (HR) researchers and practitioners can…
Abstract
Purpose
This paper aims to provide an elucidative and explanatory overview of decision-making theory that human resource management and development (HR) researchers and practitioners can use to explore the impact of heuristics and biases on organizational decisions, particularly within HR contexts.
Design/methodology/approach
This paper draws upon three theoretical resources anchored in decision-making research: the theory of bounded rationality, the heuristics and biases program, and cognitive-experiential self-theory (CEST). A selective narrative review approach was adopted to identify, translate, and contextualize research findings that provide immense applicability, connection, and significance to the field and study of HR.
Findings
The authors extract key insights from the theoretical resources surveyed and illustrate the linkages between HR and decision-making research, presenting a theoretical framework to guide future research endeavors.
Practical implications
Decades of decision-making research have been distilled into a digestible and accessible framework that offers both theoretical and practical implications.
Originality/value
Heuristics are mental shortcuts that facilitate quick decisions by simplifying complexity and reducing effort needed to solve problems. Heuristic strategies can yield favorable outcomes, especially amid time and information constraints. However, heuristics can also introduce systematic judgment errors known as biases. Biases are pervasive within organizational settings and can lead to disastrous decisions. This paper provides HR scholars and professionals with a balanced, nuanced, and integrative framework to better understand heuristics and biases and explore their organizational impact. To that end, a forward-looking and direction-setting research agenda is presented.
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