Search results

This paper aims to examine how fear of missing out (FOMO) and investment intention mediate the relationship between behavioral biases and investment decisions of retail investors in the Indian stock market.

The present research comprises two cross-sectional quantitative studies, where Study A involves data from 405 self-employed and Study B involves 393 salaried investors. Data was attained through questionnaires – the partial least squares structural equation modeling was used for data analysis.

The outcomes show that herding, overconfidence and loss aversion bias significantly impact investment intention and FOMO on both studies. Furthermore, the outcomes also indicate that herding and loss aversion bias significantly influence investment decisions in studies (A and B); however, overconfidence bias insignificantly affects the investment decisions in Study A. Besides, the results also reveal a substantial relationship between FOMO, investment intention and investment decision.

The findings of this paper assist practitioners (financial analysts and retail investors) in considering the various ways of analyzing investment decision outcomes by considering the joint effect of several biases.

This paper is an initial attempt to propose a new theoretical framework and empirically examine the impact of behavioral biases on investment decisions by considering the FOMO and investment intention among self-employed and salaried investors. This study also contributes to the behavioral finance literature; other researchers may find it valuable to attain their goals.

Given the sudden increase in plant investments across the manufacturing sector due to recent disruptions in the global supply chain caused by the COVID pandemic, the Ukraine/Russian war, ocean piracy incidents, and others, there is a need to strategically align the investments decisions with the overall business strategy. This study aims to establish whether strategic alignment enhances the effect of plant investments on operational performance.

Using the fifth version of the Global Manufacturing Research Group (GMRG V) dataset, we employ a structural equation model (SEM) to establish the moderating role of strategic alignment in plant investments-operational performance relationships.

The results suggest that strategic alignment enhances the positive effect of plant investments on operational performance, especially in cost, delivery, flexibility, and innovation. However, we found partial support for the moderating role of strategic alignment on quality performance.

Although the study was based on the GMRG global dataset and numerous papers have been published using the same dataset, the use of a convenience sample on a select group of companies may limit the generalizability of the results. With the increase in new plant investments in computer chip manufacturing, electronics, and electrical in recent years, the findings could help corporate executives maximize the benefits of their investment decisions. Companies should ensure that their plant investment decisions are strategically aligned with their overall business strategy to achieve optimal outcomes.

With the increase in new plant investments in computer chip manufacturing, electronics, and electrical in recent years, the findings could help corporate executives maximize the benefits of their investment decisions. Companies should ensure that their plant investment decisions are strategically aligned with their overall business strategy to achieve optimal outcomes.

The study comprehensively demonstrates that the extent of improvement in operational performance depends on how closely plant investment decisions align with the overall company strategy. Manufacturers should align major investment decisions with competitive priorities driven by market requirements to enhance operational performance.

The purpose of this study is to investigate the impact of behavioral biases on investment decisions through a serial mediation of overconfidence and disposition effects.

The authors assess the behavioral biases affecting the investment decisions of life insurance policyholders through the serial mediation of overconfidence and disposition effects using a structured questionnaire. The study included 501 life insurance policyholders who were selected using a snowball sampling technique.

The results of this study revealed that behavioral biases influence the investment decisions of life insurance policyholders. The results also support the serial mediation model, where behavioral biases influence the investment decisions of life insurance policyholders via overconfidence and disposition effects.

This study makes a theoretical contribution to the field of behavioral finance by exploring the influences of behavioral biases on investment decisions. It also introduces overconfidence and disposition effects as serial mediators between behavioral biases and investment decisions. The study will be helpful for researchers, academicians and policymakers in the development of a more comprehensive model in the area of behavioral finance and in raising awareness regarding those biases among policyholders in order to improve their investment strategy.

This study has extended the ongoing simple mediation model by integrating overconfidence and disposition effects in a serial mediation model between behavioral biases and investment decisions. The study will contribute to the area of behavioral finance, as it is the first time this particular study has been conducted according to the authors’ knowledge.

Augmented Reality (AR) and Virtual Reality (VR) technologies possess the potential to transform the scenario of making real estate investment decisions through the immersive experience they offer. From the literature it was observed that the research in this domain is still emergent and there is a need to identify the latent variables that influence real estate investment decisions. Therefore, by examining the effects of these technologies on investment decision-making, the purpose of the study is to provide valuable insights into how AR and VR could be applied to enhance customers' property buying experiences and assist in their decision-making process.

From an extensive review of the literature four latent variables and their measure were identified, and based on these a survey instrument was developed. The survey was distributed online and received 300 responses from the respondents including home buyers, developers, AEC professionals and real estate agents. To validate the latent variables exploratory factor analysis was used whereas to establish their criticality second-order confirmatory factor analysis was used.

From the results, the four latent constructs were identified based on standard factor loadings (SFL) that is Confident Value Perception (CVP, SFL = 0.70), Innovative Investment Appeal (IIA, SFL = 0.60), Trusted Property Transactions (TPT, SFL = 0.58) and Effortless Property Engagement (EPE, SFL = 0.54), that significantly influence investor decision-making and property purchase experience.

This study contributes to the literature on real estate investment decisions by providing empirical evidence on the role of AR and VR technologies. The identified key variables provided practical guidelines for developers, investors and policymakers in understanding and leveraging the potential of AR and VR technologies in the real estate industry.

Current research in the field of behavioural finance has attempted to discover behavioural biases and their characteristics in individual investors’ irrational decision-making. This study aims to find out how biases in information based on knowledge affect decisions about investments.

In step one, through existing research and consultation with specialists, 13 relevant items covering major aspects of bias were determined. In the second step, multiple linear regression and artificial neural network were used to analyse the data of 337 retail investors.

The investment choice was heavily impacted by regret aversion, followed by loss aversion, overconfidence and the Barnum effect. It was observed that the Barnum effect has a statistically significant negative link with investing choices. The research also found that investors’ fear of making mistakes and their tendency to be too sure of themselves were the most significant factors in their decisions about where to put their money.

This research contributes to the expansion of the knowledge base in behavioural finance theory by highlighting the significance of cognitive psychological traits in how leading investors end up making irrational decisions. Portfolio managers, financial institutions and investors in developing markets may all significantly benefit from the information offered.

This research is a one-of-a-kind study, as it analyses the emotional biases along with the cognitive biases of investor decision-making. Investor decisions generally consider the shadowy side of knowledge management.

This study aims to examine the investor's level of financial literacy and their attitude toward making any investment decision in the Bangladeshi capital market.

To measure the level of financial literacy of an individual investor, three variables have been used – financial knowledge, financial behavior and financial attitude. It also considers investment opportunity as a moderator variable to assess the effect of market-specific characteristics on financial literacy. Data have been collected through a structured questionnaire from 152 retail investors of the Dhaka Stock Exchange and Chittagong Stock Exchange. Smart-PLS 3.3 was used for analyzing the set of hypotheses for examining the relationships in the study.

Results found that financial attitude and financial behavior have a positive and significant relationship with investment decisions. Further evidence shows that investment opportunity moderates the relationship between financial attitude and financial behavior. This indicates that equity investors are suffering from market inefficiency and cannot ensure wealth maximization.

Regulators should focus not only on financial literacy programs but also on market discipline, accountability and performance. This will encourage investors to invest their money wisely and independently.

The study adds value to the capital market literature in two ways. First, it investigates the success of financial literacy programs in Bangladesh to resolve the behavioral bias issue among investors, which used to affect their returns negatively. Second, the study introduces a very new and relevant variable as a moderator in the context of Bangladesh. Investment opportunity is a moderating variable developed from the efficient market hypothesis. Results reveal that investors are somehow financially literate over time, which can be a positive attribute for controlling behavioral bias. However, market inefficiency, corporate corruption, financial crime, insider trading and information asymmetry hamper the regular growth of the market. Hence, equity investors are unable to ensure wealth maximization in Bangladesh, where this kind of problem exists.

The purpose of this study was to leverage agency theory to examine the impact of board attributes on cash flow management in Ghana’s financial institutions.

Data for the study was collected from the annual published financial statements of selected financial institutions, which were obtained from their respective websites. The sampling technique used was purposive, resulting in the selection of 15 financial institutions in Ghana, of which 10 were listed on the Ghana Stock Exchange and 5 were non-listed. The study covered a period of 10 years, ranging from 2011 to 2020. The two-step generalized method of moments estimation was used to determine the relationship between the board attributes and cash flow management.

The study found that board size had a positive and significant influence on net cash flow from operating, investing and financing activities. The study also discovered that the proportion of nonexecutive directors had a positive and significant influence on net cash flow from operating, investing and financing activities. In addition, it was revealed that the proportion of female directors on the board exhibited a positive and significant influence on net cash flow from operating activities but a negative and significant influence on net cash flow from investing and financing activities.

The study recommends increasing female representation on corporate boards to 25%, as women bring valuable skills, knowledge and experience that positively impact the financial institutions’ cash flows.

This study focused on the impact of board attributes on cash flow management within Ghana. It explored how corporate governance affects strategic decisions related to cash flow management, contributing original insights to this field of research.

We analyze the role of trust as a driver of speculative investment decisions in technology firms.

Structural Equation Modeling analysis in the context of blockchain technology supports our hypotheses.

Our findings indicate that a general propensity to trust technology leads to trusting beliefs in a service based on technology and that trusting beliefs in a technological service leads to a higher propensity to invest in any firm associated with that service. In addition, we show that in a non-technological context, there is no evidence for such an effect of trusting beliefs in a service on investment decisions. These results support the notion that trusting beliefs are facilitators of speculative investment in technology firms.

The research advances knowledge about the influence of trust in technology on investment decisions; its findings can help build new theoretical models regarding investment decisions using Fintech.

For investors, it is important to realize the potential bias identified in this study, so they can actively avoid adhering to it, thus avoiding exposure to unnecessary risk. Further, beyond individual investors, investment firms take active measures to avoid biases in their own decision-making. Banks and investment firms can help guide their clients about trust-based bias when building their investment portfolio.

Although trust in information systems has been studied extensively, research on the relationship between trust in technology and decisions to invest in technology-related firms is limited.

Stock markets are considered as the largest and most important units for the development and growth of the economy. The present study attempts to provide a comprehensive view of factors influencing investment decision making process of stock market investors. A multi group analysis of gender is also carried out on the proposed model.

The data of 402 valid responses are collected through structured questionnaires from individual investors of North India. SPSS 23 is used to do the descriptive analysis and AMOS 22 is used to establish the validity of the constructs and for hypotheses testing. For performing multi group analysis, several invariance tests have also been conducted to check the robustness of the model.

The results reveal that all the factors such as firm image, accounting information, neutral information, advocate recommendation and personal financial needs significantly influence investment decision making concluding image of the firm being the most influential factor and advocate recommendation being the least influential factor for investment decisions. No significant differences between males and females were found.

The current study suffers from the limitation of restricted geographical area of North India. Moreover, there is also a scope to incorporate more demographic factors for predicting investment decisions.

This study incorporates a range of factors which covers all the aspects of investment decision making. This study also highlights the notion of signaling theory, thus contributing to the limited literature in Indian context.

Prior work has shown that the board of directors can alleviate market imperfections that lead to capital investment inefficiency. The authors extend previous work by exploring how board characteristics influence the efficiency of human capital investment, a critical production factor that has remained insufficiently examined. Specifically, this study aims to investigate how board activity, size, the presence of a separate chairman, female directors and board independence affect firm labour investment efficiency in the European context.

The sample contains 4,331 firm-year observations traded on the STOXX® Europe 600 index from 2009 through 2022. This paper applies a lagged ordinary least squares (OLS) regression to test the proposed hypotheses. It also uses a dynamic panel generalised method of moments (GMM) regression to tackle potential endogeneity concerns.

The results show that board gender diversity and the level of independent directors are positively linked to labour investment efficiency, whereas board size and meeting frequency are negatively related to labour investment efficiency. Meanwhile, the presence of a separate chairman on the board does not appear to be significantly associated with labour investment efficiency. In additional subgroup analyses, the authors find that board gender diversity mitigates managers’ inclinations towards both overinvestment and underinvestment in labour. The authors also find that the level of independent directors helps greatly in reducing the underinvestment in labour, while it fails to attenuate the overinvestment in labour. Moreover, the authors find board size to be significantly associated with the tendency to make suboptimal labour decisions, manifesting as both overinvestment and underinvestment in labour. Finally, the results show that board meetings are significantly associated with overinvestment problems, while underinvestment problems seem to be unrelated to meeting frequency.

The empirical results have implications for policymakers and market participants in Europe. Firstly, firms may improve the efficiency of their labour investments by increasing directors’ independence and adding more female voices to corporate boards. Secondly, the evidence shows that some board attributes, such as board activity and size, do not necessarily have a beneficial impact on corporate decisions, particularly labour investment decisions. Finally, market participants are likely to benefit from this paper by understanding the role of board attributes in promoting the efficient allocation of firm resources.

This paper makes two significant contributions. Firstly, it extends the literature on the role of boards of directors in shaping corporate decision-making processes, particularly concerning human capital investment decisions within European firms. By doing so, the authors provide new evidence confirming that certain board attributes, such as board size, director independence and board gender diversity, are important for optimising firms’ resource allocation. Secondly, although numerous studies investigate boards’ role in capital investment decisions, relatively few empirical studies exist on the role of boards in labour investment decisions. This paper, therefore, tries to tackle this void in the literature by investigating firms’ decision-making concerning labour investments.