Abstract:The current study intends to identify the behavioural antecedents of investors' attitude and investment intention toward mutual funds using a robust SEM‐ANN approach. It focuses on novel factors in the purview of the COVID‐19 pandemic, increasing digitalization and social media usage. The research outcome indicates that attitude (ATB), awareness (AW) and investment decision involvement (IDI) have a significant positive relation with investment intention (BI). In contrast, perceived barrier (PBR) negatively rel… Show more
“…Another hypothesis suggesting a positive relationship between (low) body esteem and FET adoption is also supported by the data in the present research ( H5 ). Social media has become another arena for peer comparisons (Mishra et al , 2023). In line with the self-presentation theory, self-improvement, selfie-editing and selfie-uploading practices are more common in people who are highly concerned with their appearance and how others perceive them (Fastoso et al , 2021).…”
Purpose
As one of the most cutting-edge technologies in the digital age, facial enhancement technology (FET) has greatly enhanced consumer online shopping experience and brought new e-commerce opportunities for cosmetics retailers. The purpose of this paper is to extend the unified theory of acceptance and use of technology (UTAUT) model in the context of FET. In addition to the concepts from the original model, the new FET-UTAUT model features (low) body esteem, social media addiction and FET adoption.
Design/methodology/approach
A purposive sampling of FET users in China via an online questionnaire yields 473 respondents. To analyze the data, this research uses the structural equation modeling method via statistical package for the social sciences and analysis of a moment structures software. A two-step approach, exploratory factor analysis and confirmatory factor analysis, was used to test the hypotheses and generate the findings.
Findings
Performance expectancy, effort expectancy, social influence, facilitating conditions and (low) body esteem have positive relationships with FET adoption. FET adoption has a positive relationship with online purchase intention of branded color cosmetics, and the empirical evidence for the moderating role of social media addiction in the relationship between FET adoption and online purchase intention is inconclusive.
Originality/value
This research extends the traditional UTAUT model by proposing a novel FET-UTAUT model that incorporates additional key concepts such as body esteem, FET adoption and social media addiction. Managerial implications of this research are provided for FET designers and branded color cosmetic retailers.
“…Another hypothesis suggesting a positive relationship between (low) body esteem and FET adoption is also supported by the data in the present research ( H5 ). Social media has become another arena for peer comparisons (Mishra et al , 2023). In line with the self-presentation theory, self-improvement, selfie-editing and selfie-uploading practices are more common in people who are highly concerned with their appearance and how others perceive them (Fastoso et al , 2021).…”
Purpose
As one of the most cutting-edge technologies in the digital age, facial enhancement technology (FET) has greatly enhanced consumer online shopping experience and brought new e-commerce opportunities for cosmetics retailers. The purpose of this paper is to extend the unified theory of acceptance and use of technology (UTAUT) model in the context of FET. In addition to the concepts from the original model, the new FET-UTAUT model features (low) body esteem, social media addiction and FET adoption.
Design/methodology/approach
A purposive sampling of FET users in China via an online questionnaire yields 473 respondents. To analyze the data, this research uses the structural equation modeling method via statistical package for the social sciences and analysis of a moment structures software. A two-step approach, exploratory factor analysis and confirmatory factor analysis, was used to test the hypotheses and generate the findings.
Findings
Performance expectancy, effort expectancy, social influence, facilitating conditions and (low) body esteem have positive relationships with FET adoption. FET adoption has a positive relationship with online purchase intention of branded color cosmetics, and the empirical evidence for the moderating role of social media addiction in the relationship between FET adoption and online purchase intention is inconclusive.
Originality/value
This research extends the traditional UTAUT model by proposing a novel FET-UTAUT model that incorporates additional key concepts such as body esteem, FET adoption and social media addiction. Managerial implications of this research are provided for FET designers and branded color cosmetic retailers.
“…The major products of Bangladesh Capital Market are Shares and bond. Mishra, Bansal, Maurya, Kar, and Bakshi (2023) found out that attitude, knowledge and participation in investment decisions were revealed to be the most influential factors in determining investment intent, followed by self-efficacy, perceived usefulness, subjective norms, felt emergency, as well as perceived risk. Zahera and Bansal (2019) found out that the disposition effect is typically observed among private investors, and its prevalence can be affected by demographic variables including age, gender, experience and financial sophistication.…”
PurposeThis research mainly intends to ascertain the stimulus of investor investment tendencies on the amount of capital investment in the share market.Design/methodology/approachUtilizing a sample of 477 individual investors who actively trade on the Bangladesh capital market, this empirical study was conducted. The objective of this examination is to ascertain the investment trading behavior of retail investors in the Bangladesh capital market using multiple regression, hypothesis testing and correlation analysis.FindingsThe coefficients of market categories, preferred share price ranges and investment source reveal negative predictor correlations; all predictors are statistically significant, with the exception of investment source. Positive predictive correlations exist between investor category, financial literacy degree, investment duration, emotional tolerance level, risk consideration, investment monitoring activities, internal sentiment and correct investment selection. Except for risk consideration and investment monitoring activities, all components have statistically significant predictions. The quantity of capital invested in the stock market is heavily influenced by the investment duration, preferred share price ranges, investor type, emotional toleration level and decision-making accuracy level.Research limitations/implicationsThis investigation was conducted exclusively with Bangladeshi individual stockholders. Therefore, the existing study can be extended to institutional investors and conceivably to other divisions. It is possible to conduct this similar study internationally. And the query can enlarge with more sample size and use a more sophisticated econometric model. Despite that the outcomes of this study help the regulatory authorities to arrange more informative seminars and consciousness programs.Practical implicationsThe conclusions have practical implications since they empower investors to modify their portfolios based on elements including share price ranges, investment horizons and emotional stability. To improve chances of success and reach financial objectives, they stress the significance of bettering financial understanding, active monitoring and risk analysis. Results can also be enhanced by distributing ownership over a number of market sectors and price points. The results highlight the value of patience and giving potential returns enough time.Originality/valueThis study on the trading behavior of investors in Bangladesh is unique and based on field study, and the findings of this study will deliver information to the stakeholders of the capital market regarding the investors’ trading behavior belonging to different categories, financial literacy level, investment duration, emotional tolerance level and internal feeling.
“…Cluster four focuses on other information investors use to invest in mutual funds. For example, investors gathering information about the mutual fund (Mishra et al, 2023), past performance (Corso Kruk and Coppe Pimentel, 2022) and gathering information about fund managers (Andreu and Puetz, 2017) has an impact on investment behavior. Cluster five focuses on how disclosures influence investment behavior (H€ usser andWirth, 2013), andH€ usser (2015) argues that disclosure has a different impact on investors with varying financial knowledge and expertise.…”
Section: Content Analysismentioning
confidence: 99%
“…Eight papers in this cluster were concentrated on the same topic. Mishra et al (2023) suggest that the investor's attitude, awareness and involvement in the decision affect investors' investment intention. Dash (2016) argues that investor sentiment directly affects investor expectations.…”
Section: Mutual Funds Marketingmentioning
confidence: 99%
“…The global mutual fund market has grown expeditiously over the last two decades. Mishra et al (2023) document that the global mutual fund market will reach $100tn by 2027, up from $54.93tn in 2019. Several financial and non-financial factors, such as government regulations, the strong performance of the equity and bond markets, awareness of financial planning among retail investors, and ease of investing, are likely to drive such growth.…”
PurposeThis study examines current dynamics, consolidates current knowledge, elicits trends, identifies and analyzes primary research clusters, and offers future research directions for mutual fund marketing.Design/methodology/approachUsing bibliographic information from the SCOPUS database, this study used sequential bibliometric (143 documents) and content analyses (37 documents). Bibliometric analysis aids descriptive analysis and science mapping, while content analysis facilitates identifying and analyzing research clusters and provides future research directions.FindingsThe study identifies publication trends, the most relevant authors, and journal articles and unveils the knowledge structures of the field. Analysis of bibliographic coupling reveals the following significant clusters: (1) socially responsible investing and investor preferences, (2) investor factors and traits and investment decisions; (3) external factors, mutual funds' performance and proxy information; (4) the role of disclosures and ratings in shaping investment choices, and (5) cognitive biases, information processing errors and investor behavior. Finally, it offers future research directions.Research limitations/implicationsUsing different databases, bibliometric analysis tools, study periods or article screening criteria for the study might yield different results. However, this study's significant findings are robust to such alternatives.Practical implicationsThis study summarizes primary clusters and identifies gaps in the current literature, which helps scholars, practitioners, regulators and policymakers understand the nuances of mutual funds marketing. Future studies may focus on the role of online and offline integration, using neuroscience for data m and contemporary investment behavior models.Originality/valueThis is the first study to apply a two-stage sequential hybrid review of articles published over the last decade in high-quality journals, enabling an analysis of the depth and breadth of mutual funds marketing research.
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