Search results
1 – 10 of over 9000This 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.
Details
Keywords
Shagufta Parveen, Zoya Wajid Satti, Qazi Abdul Subhan, Nishat Riaz, Samreen Fahim Baber and Taqadus Bashir
This study investigates the impact of the COVID-19 pandemic on investors' sentiments, behavioral biases and investment decisions in the Pakistan Stock Exchange (PSX).
Abstract
Purpose
This study investigates the impact of the COVID-19 pandemic on investors' sentiments, behavioral biases and investment decisions in the Pakistan Stock Exchange (PSX).
Design/methodology/approach
The authors have assessed investors' behaviors and sentiments and the stock market overreaction during COVID-19 using a questionnaire and collected data from 401 investors trading in the PSX.
Findings
Results of structural equation modeling revealed that the COVID-19 pandemic affected investors' behaviors, investment decisions and trade volume. It created feelings of fear and uncertainty among market participants. Evidence suggests that behavioral heuristics and biases, including representative heuristic, anchoring heuristic, overconfidence bias and disposition effect, negatively influenced investors' decisions at the PSX.
Research limitations/implications
This study will contribute to behavioral finance literature in the context of developing countries as it has revealed the impact of COVID-19 on the emerging stock market, and its results are generalizable to other emerging stock markets.
Practical implications
The findings of this study will help academicians, researchers and policymakers of developing countries. Academicians can formulate new behavioral models that can depict the solutions of dealing with an uncertain situation like COVID-19. Policymakers like the Securities Exchange Commission and the PSX can formulate crisis management strategies based on behavioral finance concepts to cope with situations like COVID-19 in the future and help lessen investors' losses in the stock markets. The role of the Securities Exchange Commission is crucial as it regulates the financial markets. It can arrange workshops to educate investors to manage their decisions during crisis time and focus on the best use of irrational and rational decision-making at the same time using Lo (2004) adaptive market hypothesis.
Originality/value
The novelty of the paper is that the authors have introduced overconfidence and disposition effect as mediators that create a connection between representative and anchoring heuristics and investment decisions using primary data collected from investors (institutional and retail) to demonstrate the presence of psychological biases during COVID-19, and it has been done for the first time according to authors' knowledge. It is a contribution and addition to the behavioral finance literature in the context of developing countries' stock markets and their efficiency.
Details
Keywords
Sabreena Nawaz Baba, Zubair Ahmad Dada and Reyaz A. Qureshi
This study explores the tourists' behavioral intention toward tasting ethnic food by proposing 'enjoyment’ as an indirect mechanism in improvising the model of Wang. In other…
Abstract
Purpose
This study explores the tourists' behavioral intention toward tasting ethnic food by proposing 'enjoyment’ as an indirect mechanism in improvising the model of Wang. In other words, when affective and cognitive components are triggered positively while reading online gastronomy reviews on social media platforms, enjoyment is aroused, subsequently enhancing the desire to taste ethnic foods displayed online.
Design/methodology/approach
Data from 385 visitors from Kashmir, India, were gathered using a purposive sample technique. The research model was put to the test using PLS-SEM.
Findings
Direct and indirect mechanisms influence Behavioral Intention. Enjoyment acts as a mediator. Overall, the results validated the presence of three direct and full mediation paths.
Practical implications
This study will help tourism practitioners justify their promotional activities on social networking sites, particularly in endorsing regional ethnic dishes. For example, tourism authorities could collaborate with bloggers on social media and offer incentives to promote attractive images of ethnic food. Similarly, ethnic food outlets can improve online exposure and interactivity by encouraging travelers to leave feedback after visits.
Originality/value
Unlike other studies, this research broadens our understanding by focusing on direct and indirect mechanisms. The inclusion of a mediator enhanced the total variance of the dependent variable.
Details
Keywords
P. Padma Sri Lekha, E.P. Abdul Azeez and Ronald R. O'Donnell
Contextual to the recognition of the complex interplay between health and behavioral aspects, integrated behavioral health (IBH) has emerged. Although this model is becoming…
Abstract
Purpose
Contextual to the recognition of the complex interplay between health and behavioral aspects, integrated behavioral health (IBH) has emerged. Although this model is becoming popular in the Western world, its presence in the global context is not promising. This paper aims to explore the need for IBH in India and address its barriers to implementation and possible solutions.
Design/methodology/approach
We analyzed the case of IBH and its potential implications for India using the current evidence base, authors' reflections and experience of implementing similar programs.
Findings
This paper identifies contextual factors, including increased instances of non-communicable diseases and psychosocial and cultural determinants of health, that necessitate the implementation of IBH programs in India. The key features of different IBH models and their applicability are outlined. The current status of IBH and potential challenges in implementation in India in terms of human resources and other factors are delineated. We also discuss the potential models for implementing IBH in India.
Originality/value
Integrating behavioral health in primary care is considered an effective and sustainable model to promote health and well-being across various target populations. Towards this end, this paper is the first to discuss the contextual factors of IBH in India. It is a significant addition to the knowledge base on IBH and its possible implementation barriers and strategies in low- and middle-income countries.
Details
Keywords
Mahpara Naeem, Syed Tehseen Jawaid and Sadaf Mustafa
This paper aims to review and highlight the gaps in the research streams of the technological acceptance model (TAM) associated with e-banking services. The introduction of TAM as…
Abstract
Purpose
This paper aims to review and highlight the gaps in the research streams of the technological acceptance model (TAM) associated with e-banking services. The introduction of TAM as a decision-making process from individual and organizational perspectives is the core purpose of this paper.
Design/methodology/approach
This study is based on concept-centric reviews and synthesizing of previous research. Data are extracted from a systematic literature review published from 1975 to 2021 under the preferred reporting items for systematic review and meta-analyses statement.
Findings
This review explored that theory of reasoned action and theory of planned behavior are the basic theories proceeding to TAM evolution. TAM has been extended to its three versions, which are designed and modified for different contexts and cultures. Previously, the risk-return approach, theory of trust and perceived value were the major constructs or modifications in TAM. Now, TAM has been designed for measuring customers’ perception of any technological advancement.
Research limitations/implications
This review is limited to major additive constructs in modified TAM concerning e-banking services, which can be expanded to different cultures and contexts. This study sketched TAM as a decision-making model associated with the factors influencing any technological advancement. So, the proposed conceptual framework is applicable for the behavioral analysis of technological adoption from individual and organizational perspectives in any field.
Originality/value
This review designed a bi-dimensional conceptual model of TAM as a decision-making process for e-services that has not been identified yet in any study from organizations’ and customers’ perspectives.
Details
Keywords
The main purpose of this study is to propose an Islamic model of human behavioral analysis that can explain the determinants such as Islamic moral values, internal factors (e.g…
Abstract
Purpose
The main purpose of this study is to propose an Islamic model of human behavioral analysis that can explain the determinants such as Islamic moral values, internal factors (e.g. self-efficacy or reasons for and against), external factors (e.g. perceived social support or others from external sources) and empathy (EMP) (humane attitude) to predict niyyah (worshipful intention) toward actual behavior (a’mal) in question.
Design/methodology/approach
With this end in mind, this research uses the theory of Islamic entrepreneurship and behavioral reasoning theory as their theoretical foundations. To validate the model, the study uses empirical data on investors’ intention toward sukuk (Islamic bonds or Shari’ah-compliant bonds) purchase in the context of Bangladesh, where very recently the sukuk were introduced by the Central Bank.
Findings
Findings of the study indicate that Islamic values and internal factors have the highest effects on external factors and EMP, respectively. Internal factors and Islamic values have moderate and almost similar impacts on EMP. Besides, external factors and EMP have somewhat equally moderate effects on niyyah. Islamic moral values and internal factors have the least influence on internal factors and niyyah, respectively. The external factor is also found to be insignificant to influence EMP. The findings also indicate that EMP, internal control factors and external control factors have mediating effects on niyyah toward sukuk purchase.
Research limitations/implications
These results imply that the present research model successfully predicts and explains the determinants of Islamic worshipful intention toward the actual purchase of sukuk.
Practical implications
Sukuk has been an important Islamic financial instrument that has been growing much rapidly in recent times. So, this paper will help to comprehend that pattern empirically.
Social implications
Islamic finance has emerged as a dominant financial tool nowadays. This paper contributes to advance that initiative one step further in terms of social and economic development.
Originality/value
This is a conceptual paper written in the area of Islamic Finance. This model has been validated by collating primary data collected from the selected respondents residing in Bangladesh.
Details
Keywords
Edmund Khoo Chengqin, Suhaiza Zailani, Muhammad Khalilur Rahman, Azmin Azliza Aziz, Miraj Ahmed Bhuiyan and Md. Abu Issa Gazi
This study aims to investigate the determinants of household behavioural intention towards household reducing, reusing and recycling behaviour of food waste management.
Abstract
Purpose
This study aims to investigate the determinants of household behavioural intention towards household reducing, reusing and recycling behaviour of food waste management.
Design/methodology/approach
The data were collected from 670 households in Malaysia and analysed by using the partial least square method.
Findings
The findings reveal that motivation to participate, ability to participate and perceived benefits are the crucial factors that significantly influence households’ attitudes. Household attitude has a significant impact on household behavioural intention, whilst social influence and perceived behavioural control are not associated with it. Government support is positively related to perceived behavioural control. The result also indicates that household behavioural intention has a significant impact on household reducing, reusing and recycling behaviour.
Research limitations/implications
The participants of this study were involved in home planning and food preparation in Malaysia. The individuals in charge of the household might have more awareness of food planning and waste control. Thus, it is recommended to adopt findings from other countries and learn from the experience of the local and international communities.
Practical implications
The households’ behavioural intentions can lead to the reducing, reusing and recycling behaviour of food waste management. The government policy mechanisms and households’ awareness can work effectively against food waste reduction because evaluations of the food waste programme were found to be scarce.
Social implications
Food insecurity is one of the major social problems. Many people are not aware of the food waste impacts and consequences; thus, motivation, knowledge and information should be provided to the consumer through forums and campaigns.
Originality/value
The findings contribute to new insights of household behavioural intention towards food waste reduction management by assessing the determinants of household attitude and government support for food waste reduction management programmes towards household reducing, reusing and recycling behaviours.
Details
Keywords
Amir Zaib Abbasi, Natasha Ayaz, Sana Kanwal, Mousa Albashrawi and Nadine Khair
TikTok social media app has become one of the most popular forms of leisure and entertainment activities, but how hedonic consumption experiences (comprising fantasy, escapism…
Abstract
Purpose
TikTok social media app has become one of the most popular forms of leisure and entertainment activities, but how hedonic consumption experiences (comprising fantasy, escapism, enjoyment, role projection, sensory, arousal and emotional involvement) of the TikTok app determine users' intention to use the app and its resulting impact on the actual usage behavior remains limited in the information systems literature, especially featuring the hedonic consumption perspective in entertainment industry.
Design/methodology/approach
This study employs uses & gratification theory to answer the “why” via predicting the role of hedonic consumption experiences that serve as gratifications to trigger technology acceptance behavior (especially, in form of users' behavioral intention to use the TikTok app and its further impact on usage behavior). This study utilizes the partial least squares-structural equation modeling approach to perform data analyses on 258 TikTok app users.
Findings
Our results provide a strong support such that users' playful consumption experiences (i.e. escapism, role projection, arousal, sensory experience and enjoyment) positively influence their intention to use the TikTok app and its resultant effect on users' actual usage of the app. In contrast, fantasy and emotional involvement fail to influence users' intention to use the TikTok app.
Originality/value
To the best of our knowledge, our investigation is one of the first studies to apply the hedonic consumption experiences as potential gratifications that derive users' intention and its subsequent influence on the actual usage of the TikTok app. Our study results would assist marketing and brand managers to redefine approaches and tactics to create effective strategies that implement essential determinants to increase behavioral intention among entertainment service providers.
Details
Keywords
The purpose of this paper is to establish a microeconomics model of corruption based on the behavioural sciences.
Abstract
Purpose
The purpose of this paper is to establish a microeconomics model of corruption based on the behavioural sciences.
Design/methodology/approach
The methodology is a practical exploration, first in the convergence of the economics of corruption and the behavioural sciences; based on these conclusions, the microeconomic model of corruption is formulated.
Findings
The paper concludes in a model of the microeconomics of corruption.
Research limitations/implications
There are no limitations in the model.
Practical implications
The practical implications are calculating the rent for corruption in the different scenarios.
Social implications
The social implications are knowing the income from corruption.
Originality/value
To the best of the authors’ knowledge, this paper is original, and there is no microeconomics model of corruption formulated in the academic field, only in this work.
Details
Keywords
Yao Tong and Zehui Zhan
The purpose of this study is to set up an evaluation model to predict massive open online courses (MOOC) learning performance by analyzing MOOC learners’ online learning…
Abstract
Purpose
The purpose of this study is to set up an evaluation model to predict massive open online courses (MOOC) learning performance by analyzing MOOC learners’ online learning behaviors, and comparing three algorithms – multiple linear regression (MLR), multilayer perceptron (MLP) and classification and regression tree (CART).
Design/methodology/approach
Through literature review and analysis of data correlation in the original database, a framework of online learning behavior indicators containing 26 behaviors was constructed. The degree of correlation with the final learning performance was analyzed based on learners’ system interaction behavior, resource interaction behavior, social interaction behavior and independent learning behavior. A total of 12 behaviors highly correlated to learning performance were extracted as major indicators, and the MLR method, MLP method and CART method were used as typical algorithms to evaluate learners’ MOOC learning performance.
Findings
The behavioral indicator framework constructed in this study can effectively analyze learners’ learning, and the evaluation model constructed using the MLP method (89.91%) and CART method (90.29%) can better achieve the prediction of MOOC learners’ learning performance than using MLR method (83.64%).
Originality/value
This study explores the patterns and characteristics among different learning behaviors and constructs an effective prediction model for MOOC learners’ learning performance, which can help teachers understand learners’ learning status, locate learners with learning difficulties promptly and provide targeted instructional interventions at the right time to improve teaching quality.
Details