Search results
1 – 10 of 66Qingmei Tan, Muhammad Haroon Rasheed and Muhammad Shahid Rasheed
Despite its devastating nature, the COVID-19 pandemic has also catalyzed a substantial surge in the adoption and integration of technological tools within economies, exerting a…
Abstract
Purpose
Despite its devastating nature, the COVID-19 pandemic has also catalyzed a substantial surge in the adoption and integration of technological tools within economies, exerting a profound influence on the dissemination of information among participants in stock markets. Consequently, this present study delves into the ramifications of post-pandemic dynamics on stock market behavior. It also examines the relationship between investors' sentiments, underlying behavioral drivers and their collective impact on global stock markets.
Design/methodology/approach
Drawing upon data spanning from 2012 to 2023 and encompassing major world indices classified by Morgan Stanley Capital International’s (MSCI) market and regional taxonomy, this study employs a threshold regression model. This model effectively distinguishes the thresholds within these influential factors. To evaluate the statistical significance of variances across these thresholds, a Wald coefficient analysis was applied.
Findings
The empirical results highlighted the substantive role that investors' sentiments and behavioral determinants play in shaping the predictability of returns on a global scale. However, their influence on developed economies and the continents of America appears comparatively lower compared with the Asia–Pacific markets. Similarly, the regions characterized by a more pronounced influence of behavioral factors seem to reduce their reliance on these factors in the post-pandemic landscape and vice versa. Interestingly, the post COVID-19 technological advancements also appear to exert a lesser impact on developed nations.
Originality/value
This study pioneers the investigation of these contextual dissimilarities, thereby charting new avenues for subsequent research studies. These insights shed valuable light on the contextualized nexus between technology, societal dynamics, behavioral biases and their collective impact on stock markets. Furthermore, the study's revelations offer a unique vantage point for addressing market inefficiencies by pinpointing the pivotal factors driving such behavioral patterns.
Details
Keywords
Sharneet Singh Jagirdar and Pradeep Kumar Gupta
The present study reviews the literature on the history and evolution of investment strategies in the stock market for the period from 1900 to 2022. Conflicts and relationships…
Abstract
Purpose
The present study reviews the literature on the history and evolution of investment strategies in the stock market for the period from 1900 to 2022. Conflicts and relationships arising from such diverse seminal studies have been identified to address the research gaps.
Design/methodology/approach
The studies for this review were identified and screened from electronic databases to compile a comprehensive list of 200 relevant studies for inclusion in this review and summarized for the cognizance of researchers.
Findings
The study finds a coherence to complex theoretical documentation of more than a century of evolution on investment strategy in stock markets, capturing the characteristics of time with a chronological study of events.
Research limitations/implications
There were complications in locating unpublished studies leading to biases like publication bias, the reluctance of editors to publish studies, which do not reveal statistically significant differences, and English language bias.
Practical implications
Practitioners can refine investment strategies by incorporating behavioral finance insights and recognizing the influence of psychological biases. Strategies span value, growth, contrarian, or momentum indicators. Mitigating overconfidence bias supports effective risk management. Social media sentiment analysis facilitates real-time decision-making. Adapting to evolving market liquidity curbs volatility risks. Identifying biases guides investor education initiatives.
Originality/value
This paper is an original attempt to pictorially depict the seminal works in stock market investment strategies of more than a hundred years.
Details
Keywords
Tanzina Hossain and Pallabi Siddiqua
Determining the impact of behavioral influences on the stock market has significant implications for investment analysis and portfolio management. Behavioral biases are parameters…
Abstract
Purpose
Determining the impact of behavioral influences on the stock market has significant implications for investment analysis and portfolio management. Behavioral biases are parameters that need to be considered in investment decision-making. The purpose of this study is to inform Bangladeshi investors about behavioral biases that they may encounter when making investment decisions in the prevailing frontier environment.
Design/methodology/approach
Through the chi-square test, one-way ANOVA, paired-samples t-test and descriptive analysis based on the facts collected from 281 respondents of the Dhaka Stock Exchange (DSE), the study has found that individual investors of Bangladesh often make investment decisions emotionally rather than based on theories.
Findings
The result shows that risk aversion and risk perception are the two most influential emotional dimensions that impact investors' decisions. The findings are consistent with the other researchers and highlight the fact that investors hardly act according to the norms recommended in the financial theories.
Research limitations/implications
The findings are grounded on a small portion of investors at DSE on some particular days, which is not sufficient to study individual investors' entire complex decision-making behavior from various angles. Many respondents were reluctant and even confused to disclose their behavioral aspects. These, along with biased and careless answers, may impede the identification of the actual scenario of the behavioral responses in decision-making that demand further study.
Originality/value
The novelty of this study is unique in that it examined investors of the DSE, who are considered to be a representative in a frontier market like Bangladesh. Since this market is not very resilient, small investors need to be aware of the biases of behavioral factors to survive.
Details
Keywords
Stutee Mohanty, B.C.M. Patnaik, Ipseeta Satpathy and Suresh Kumar Sahoo
This paper aims to identify, examine, and present an empirical research design of behavioral finance of potential investors during Covid-19.
Abstract
Purpose
This paper aims to identify, examine, and present an empirical research design of behavioral finance of potential investors during Covid-19.
Design/methodology/approach
A well-structured questionnaire was designed; a survey was conducted among potential investors using convenience sampling, and 200 valid responses were collected. The research work uses multiple regression and discriminant function analysis to evaluate the influence of cognitive factors on the financial decision-making of investors.
Findings
Recency and familiarity bias are proven to have the highest significant impact on the financial decisions of investors followed by confirmation bias. Overconfidence bias had a negligible effect on the decision-making process of the respondents and found insignificant.
Research limitations/implications
Covid-19 is a temporary phase that may lead to changes in financial behavior and investors’ decisions in the near future.
Practical implications
The paper will help academicians, scholars, analysts, practitioners, policymakers and firms dealing with capital markets to execute their job responsibilities with respect to the cognitive bias in terms of taking financial decisions.
Originality/value
The present investigation attempts to fill the gap in the literature on the intended topic because it is evident from literature on the chosen subject that no study has been undertaken to evaluate the impact of cognitive biases on financial behavior of investors during Covid-19.
Details
Keywords
Rafael Ventura, María J. Quero and Sofía Louise Martínez-Martínez
Linkages play a strategic role in improving actor disposition and resource density in university–industry ecosystems. Due to the importance of interconnected ecosystems for the…
Abstract
Purpose
Linkages play a strategic role in improving actor disposition and resource density in university–industry ecosystems. Due to the importance of interconnected ecosystems for the development of engaged universities, applying the service-dominant logic (SDL) perspective, the authors aim at developing theory on linkages that lead to a higher level of actor commitment and in turn result in increased actor disposition and greater resource density.
Design/methodology/approach
Data from semistructured interviews from four in depth case studies, known internationally as successful cases of university linkages development (Columbia Lab-to-Market Accelerator Network, Oxford University Innovation, Auckland Uniservices and the Münster Center for Interdisciplinarity), undergo qualitative analysis according to the Gioia methodology.
Findings
The results represent a contribution to the theory, as they highlight the strategic role of linkages in improving actor disposition and increasing resource density. Due to its shown importance, linkage is an element to be considered on its own in the innovation ecosystems configurations in the context of universities.
Practical implications
The results of the research have implications for university management, since they focus on how resources are mobilized and linked. The interactive roles of actors in ecosystems imply that the locus of value creation moves beyond the borders of the organization toward the linkages. Strategies for managing university–industry linkages (UIL) are presented.
Originality/value
To date there has not been sufficient theoretical or empirical contribution in the university–industry ecosystem context about the role of linkages to improve resource density through increased actor disposition.
Details
Keywords
Diego Monferrer Tirado, Lidia Vidal-Meliá, John Cardiff and Keith Quille
This research aims to determine to what extent corporate social responsibility (CSR) actions developed by bank entities in Spain improve the vulnerable customers' emotions and…
Abstract
Purpose
This research aims to determine to what extent corporate social responsibility (CSR) actions developed by bank entities in Spain improve the vulnerable customers' emotions and quality perception of the banking service. Consequently, this increases the quality of their relationship regarding satisfaction, trust and engagement.
Design/methodology/approach
Data from 734 vulnerable banking customers were analyzed through structural equations modeling (EQS 6.2) to test the relationships of the proposed variables.
Findings
Vulnerable customers' emotional disposition exerts a strong influence on their perceived service quality. The antecedent effect is concentrated primarily on the CSR towards the client, with a residual secondary weight on the CSR towards society. These positive service emotions are determinants of the outcome quality perceived by vulnerable customers, directly in terms of higher satisfaction and trust and indirectly through engagement.
Practical implications
This research contributes to understanding how financial service providers should adapt to the specific characteristics and needs of vulnerable clients by adopting a strategy of approach, personalization and humanization of the service that seems to move away from the actions implemented by the banking industry in recent years.
Originality/value
This study has adopted a theoretical and empirical perspective on the impact of CSR on service emotions and outcome quality of vulnerable banking customers. Moreover, banks can adopt a dual conception of CSR: a macro and external scope toward society and a micro and internal scope toward customers.
Details
Keywords
Miriam Marie Sanders, Julia E. Calabrese, Micayla Gooden and Mary Margaret Capraro
Research has shown that science, technology, engineering and mathematics (STEM) self-beliefs and enjoyment are critical factors for predicting female students’ persistence in STEM…
Abstract
Purpose
Research has shown that science, technology, engineering and mathematics (STEM) self-beliefs and enjoyment are critical factors for predicting female students’ persistence in STEM degrees and careers. Studies have shown the positive effects of informal STEM learning experiences on female students’ self-beliefs. However, with the rise of all-female STEM learning experiences, such as summer camps, considering the potential advantages and disadvantages of co-ed options is important. Further, prior STEM education research has focused on sex differences in students’ self-efficacy and STEM career interests. Our study aims to examine within sex differences in secondary, female students (n = 104) who attend either a co-ed STEM camp or a same-sex STEM camp.
Design/methodology/approach
To examine potential differences, we conducted independent sample t-tests.
Findings
Results of the study include statistically significant differences in mathematics and science self-efficacy as well as STEM career interest after participating in their respective camps.
Originality/value
Further, prior research in STEM education has focused on between sex differences in students’ self-efficacy and STEM career interest.
Details
Keywords
Inma Rodríguez-Ardura, Antoni Meseguer-Artola, Doaa Herzallah and Qian Fu
There is an ongoing challenge to map the efficacy of e-retailing strategies in building both value co-creation opportunities for online customers and customer value for companies…
Abstract
Purpose
There is an ongoing challenge to map the efficacy of e-retailing strategies in building both value co-creation opportunities for online customers and customer value for companies. Based on the service-dominant (S-D) logic, an integrative model is provided that connects the impact of convenience and personalisation strategies (CPSs) on an e-retailer's performance – by offering co-creation opportunities and customer engagement.
Design/methodology/approach
The survey instrument is validated and the model is tested with data from active online customers using a novel methodology that blends artificial neural network (ANN) analysis with partial least squares (PLS) in both the measurement model and the path analysis.
Findings
The findings robustly support the model and yield evidence of the contribution of CPSs in effective value propositions, the interface between the S-D logic and customer engagement, and the direct effect of customer engagement on tangible forms of value for companies.
Originality/value
This study is the first scholarly effort to provide a comprehensive understanding of how and why CPSs can maximise customer value for the e-retailer, while simultaneously testing the customer value/engagement interface with a new blended ANN-PLS method.
Details
Keywords
This paper determines how travel intentions can be predicted using self-disclosure behaviour, trust and intimacy. This case study focuses on Tinder users who utilised the…
Abstract
Purpose
This paper determines how travel intentions can be predicted using self-disclosure behaviour, trust and intimacy. This case study focuses on Tinder users who utilised the application's Passport feature which allowed them to travel virtually and interact with other users around the globe amid global travel restrictions.
Design/methodology/approach
This quantitative research conveniently sampled 294 Tinder users who used the Passport feature during COVID-19 pandemic lockdowns. Data were analysed using PLS-SEM.
Findings
This study revealed that self-disclosure had a significant influence towards future travel intentions. Findings show that the more users self-disclose, the more their intent to travel increase. Trust and intimacy also had significant relationship on travel intentions while intimacy had a mediating effect between self-disclosure and travel intentions.
Practical implications
Tourism-oriented establishments and destination marketers should consider Tinder users as a market segment of future tourists. These users have developed travel intentions through in-app interactions and thus comprise an untapped market of potential tourists seeking for meet-ups and niche experiences in a post-pandemic era.
Originality/value
This study provides novelty in showing the predictive relationship of self-disclosure, trust and intimacy towards travel intentions. A model consisting of these constructs in the context of online interactions was also empirically tested and found adequate to predict travel intentions.
Details
Keywords
This case study sought to investigate the relationship between pre-service teachers’ participation in designing and delivering one-on-one literacy intervention lessons to…
Abstract
Purpose
This case study sought to investigate the relationship between pre-service teachers’ participation in designing and delivering one-on-one literacy intervention lessons to beginning readers and their own evolving self-efficacy in literacy instruction.
Design/methodology/approach
The study was embedded within a 4000-level course in the elementary education major where pre-service teachers learn to administer, analyze and interpret a variety of literacy assessments. Based on the results of these assessments, pre-service teachers designed and implemented literacy lessons (twice a week, 30-min sessions) that addressed the beginning readers' specific instructional needs. Through collecting pre/post data with their first-grade intervention students, and participating in reflective “check-ins” (surveys, a focus group and end-of-course written reflection), a portrait of increased pre-service teacher self-efficacy in literacy instruction comes into focus.
Findings
The data showed, primarily through the thematic analysis of qualitative data, that the experience of conducting a one-on-one intervention with a striving reader impacted pre-service teachers’ self-efficacy positively.
Research limitations/implications
The methodology of this study was limited by the small sample size and the low participant response rate on the quantitative survey measure.
Practical implications
This paper highlights one aspect in which clinically-rich field experiences can make a difference in the literacy instruction self-efficacy of pre-service teachers.
Originality/value
This study adds to the support for authentic instructional applications of course content in educator preparation programs, specifically in Professional Development School (partner school system) contexts. The aspect of observing and measuring intervention student progress was one lens through which pre-service teachers viewed their efficacy. Further investigations focusing on other assessment-instruction cycles could provide additional insights.
Details