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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 influence of demographic variables on rational decision-making process and how those differences manifest themselves in the form of behavioural biases.

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.

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.

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.

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.

The purpose of this paper is to gain insight into the contingent use of rational, intuitive and political decision-making in R&D.

This research is based on a study in an R&D department of a multinational high-tech firm in the Netherlands. The study consists of a case study design, focusing on four embedded cases, longitudinally studying each case.

The literature distinguishes three dimensions of innovation decision-making processes: rational, intuitive and political. By studying these interwoven dimensions over time, this study finds that the dominant use of each of these dimensions differs across the innovation process. There is an emphasis on intuitive decision-making in an early phase, followed by more emphasis on political decision-making, and moving to more emphasis on rational decision-making in a later phase of the R&D process. Furthermore, the predominant choice in a specific innovation phase for one of the three decision-making dimensions is influenced by the decision-making dimension that is dominantly employed in the preceding phase.

This study contributes to the innovation decision-making literature by developing and applying a model that distinguishes rational, intuitive and political decision-making dimensions, the interactions among these dimensions in innovation decision-making in R&D, and the contingency of these dimensions upon the innovation phase. It calls for further research into the contingent nature of innovation decision-making processes.

For practitioners this study has two relevant insights. First it highlights the importance and usefulness of intuitive and political decision-making in addition to the prevailing emphasis on rational decision-making. Second, practitioners may be more alert to consciously changing their dominant decision-making approach across the phases of the innovation process. Third, companies may adjust their human resource policies to this study’s findings.

The literature on rational, intuitive and political decision-making is quite extensive. However, research has hardly studied how these decision-making dimensions develop in conjunction, and over time. This paper reports on a first study to do so and finds that the dominant use of these dimensions is contingent upon the phase of the R&D process and on the decision-making dimensions used in earlier phases. The study suggests that using a contingency approach can help to further integrate the debate in research and practice.

The purpose of this study is to fill the gap by investigating the relationship between age and other demographics on decision-making and leadership styles of executives in the non-profit sector.

This study is a quantitative research using correlation analysis and analysis of variance. The quantitative approach establishes facts, makes predictions and tests stated hypothesis and used the Pearson correlation coefficient, the ANOVA and the two-way analysis of variance. This study used surveys to collect data.

H1 states that there will be no significant difference in the decision-making models used among non-profit organizational leaders (rational, intuitive, dependent, spontaneous and avoidant) based on demographic variables: gender and age. H2 states that there will be no significant difference in the leadership style used among non-profit organizational executives (selling, telling, delegating and participating) and different dimensions of demographic variables: gender and age.

This study explored the relationship between the demographics, age and gender and the decision-making models (rational, intuitive, dependent, spontaneous and avoidant) and leadership styles (selling, telling, delegating and participating) of executives in non-profit organizations. The age of the executives also showed to be important factors that influenced executive’s leadership styles and decision-making models as well.

Rational decision-making as reflected to in this study has been used by older, possibly more experienced non-profit executives. This model is favorable towards making decisions on complicated issues. The final choice rational decision-makers select will maximize the outcome; it is assumed that the decision-maker will choose the alternative that rates the highest and get the maximum benefits (Robbins and Decenzo, 2003, pp. 141-142). The researcher suggests that non-profit executives, especially the younger executives, should attend management and leadership conferences that focus on rational decision-making models as concerns business strategies and making the best choices based on possible alternatives.

Rational decision-making as reflected to in this study has been used by older, possibly more experienced non-profit executives. This model is favorable towards making decisions on complicated issues. The final choice rational decision-makers select will maximize the outcome; it is assumed that the decision-maker will choose the alternative that rates the highest and get the maximum benefits (Robbins and Decenzo, 2003, pp. 141-142). The researcher suggests that non-profit executives, especially the younger executives, should attend management and leadership conferences that focus on rational decision-making models as concerns business strategies and making the best choices based on possible alternatives.

This is an original piece of research that contributes to the literature on leadership style.

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.

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.

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.

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.

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.

Traditional definitions of decision support systems emphasise their support role in individual decision making and utilise notions of rational choice. By considering decisions as an organisational activity, the interpretation of decision support systems use in organisations can move beyond this technical rational understanding, to include potential political and legitimating roles for these systems. These three possible interpretations are discussed in relation to the implementation of a large decision support system in a local government context described by Dutton (1981). In its technical role, the system was used as part of a rational planning agenda. However, the system was clearly also used politically, to promote particular interests and as a lever in negotiations between various groups. Part of the appeal of the decision support system was the appearance of rationality and technical neutrality that it gave to the planning and decision making process, and the legitimation it provided with external constituents. The paper concludes that an unquestioning acceptance of the technical received view of decision support system use is limiting, and that a more reflective approach to their development, implementation and use is required.

An exciting opportunity that many advanced industrial democracies faced in the late 1990s was the movement from budgetary deficit to surplus. This came after years of persistent deficits. Traditional decisionmaking theories such as budgetary incrementalism failed to explain this longrun relationship, since it has been inherently a short-run theory. This paper uses rational expectations theory to demonstrate its relationship to budgetary decision-making reforms and the deficit (surplus) for Canada, the UK and the United States. The results demonstrated that there was an intertemporal budget constraint in operation in the three countries, and decision-makers at the macro level used rational expectations in the formulation of their annual budget. In the theory, budget actors strived to balance their budget, but did so over the longrun as opposed to the short-run incrementalist interpretation.

The purpose of this paper is to study the leadership style (LS) and decision-making style (DMS) of Indian manufacturing executives, and to explore the association between the LS and DMS.

For this study the sample was drawn from Indian manufacturing organisations’ executives from both public and private sectors. The respondents were lower, middle and senior levels executives involved in leadership and decision-making functions. Correlation, regression and ANOVA were used to pursue the research questions.

Indian manufacturing executives have shown highest rational and least avoidant in their DMSs. Transformational (TFM) leaders are found rational, while the transactional (TSL) leaders are observed to be rational and dependent. Laissez faire style has correlation with avoidant decision making and interactive dependent and avoidant styles.

The study is a cross sectional research with limitations of self-serving bias and common method variance. However, this limitation has been dealt with a statistical test.

The study bears significant implications for Indian executives who are working on LSs and decision making. It also provides the details of decision-making behaviours of the manufacturing executives thereby suggesting the associated benefits and drawbacks of particular styles.

This paper contributes to leadership and decision-making literature. In the recent times, no such study in Indian manufacturing context have been reported. Moreover there are few contrasting and contributing findings in this research.

The purpose of this paper is to explore differences in the decision-making styles between family and nonfamily firms, while assessing how family participation relates to the use of decision-making styles within family firms.

The empirical evidence is provided by a sample of 155 firms, located in the Azores, Portugal, 82 family controlled and 73 nonfamily controlled firms. All firms included in the sample are small-sized privately owned enterprises. Business owners and managers responded to a decision-making styles questionnaire, followed, in the case of family firms, by the report of the number of family members actively involved in the business.

Results show that there are no differences in the use of rational decision making between family and nonfamily firms. However, nonfamily firms show higher levels of experiential decision making than family firms. Results also show that family participation plays a key role in guiding the decisional process, by promoting the use experiential decisions and inhibiting the adoption of a rational decision-making styles in family firms.

From a theoretical perspective, this study opens the door to new research on an under investigated topic in the family business literature. It contributes with initial notions that may help profile the decisional style within small family firms, while revealing how family participation affects it. Thus, creating a fertile ground of discussion that can be an impulse for more research in this area.

From an applied perspective, assessing the influence of family participation in the adoption of a decisional style is potentially valuable for practitioners as well as for owners and managers. Providing them with clues that may help them better understand the basis of their decisions which can benefit their relations with other family members, as with customers, partners and suppliers that play a key role in the firm’s growth, profitability and adaptability.

From a social point of view, showing that family firms tend to be rational in their decisions may help create a more reputable and credible image surrounding these firms that are sometimes perceived as less professional than nonfamily firms. Thus, a more solid reputability can help improve their relationship with important partner institutions (e.g. financial, governmental), becoming more attractive to private and public investment, which can translate into win-win situations.

This study responds to a gap in the literature, by exploring the use of experiential vs rational decision-making styles in small family and nonfamily firms. This study also contributes to the understanding of the decision making within family firms, by assessing the role of family participation in the adoption of a decisional style.

This paper aims to examine the degree to which individual technology transfer officers' heuristics and biases, as well as peer technology transfer institutions' practices, influence the technology commercialization decision‐making process.

A qualitative method was used to gather data from technology transfer officers (TTO) regarding how they make commercialization decisions. Responses were examined in the context of rational choice theory and institutional theory in an attempt to discern whether common decision‐making practices are shared among officers from different institutions.

The subjects shared relatively few common organizational and professional decision‐making practices. The sample was relatively evenly divided by TTO with an individual heuristic bias and those with a rational approach to decision making. Individual heuristics influenced all subjects to varying degrees.

The TTO plays a central role in the technology commercialization process yet the paper found little evidence that professional practice and standards were integrated into decision‐making processes. Further research examining why this is the case, and examining if there is a relationship to outcome success, is warranted.

Managers need to better understand and monitor how decisions are made within individual offices. Technology transfer directors should conduct a process audit to determine the extent decision‐making processes are internally or externally defined, and then implement best practice where appropriate.

Very few studies examine how TTO make commercialization decisions, and fewer examine this phenomenon in the context of both a rational choice and institutional theory framework.

Two studies in the context of English‐French relations in Québec suggest that individuals who strongly identify with a group derive the individual‐level costs and benefits that drive expectancy‐value processes (rational decision‐making) from group‐level costs and benefits. In Study 1, high identifiers linked group‐ and individual‐level outcomes of conflict choices whereas low identifiers did not. Group‐level expectancy‐value processes, in Study 2, mediated the relationship between social identity and perceptions that collective action benefits the individual actor and between social identity and intentions to act. These findings suggest the rational underpinnings of identity‐driven political behavior, a relationship sometimes obscured in intergroup theory that focuses on cognitive processes of self‐stereotyping. But the results also challenge the view that individuals' cost‐benefit analyses are independent of identity processes. The findings suggest the importance of modeling the relationship of group and individual levels of expectancy‐value processes as both hierarchical and contingent on social identity processes.