Search results

In this chapter, I will outline the labels of giftedness and underachievement and present the theoretical debates surrounding these labels. A historicist examination of these labels follows, highlighting how the gifted underachievement (GUA) label emerges through the negation of “giftedness.” Subsequently, I explore the concept of GUA and its negative connotations, stemming from the positive valuation inherent in the term “giftedness” and its implications for what is considered “normal.” This chapter also reviews perspectives on shifting the focus away from the individual within the current paradigm of labeling giftedness and explores insights from systemic thinking and symbolic interactionism (SI). The conclusion underscores the necessity of a symbolic interactionist perspective to address the gaps in research on the labeling of giftedness and underachievement. Finally, I propose a generic definition that can be used in GUA research in the light of SI.

The use of digital channels to promote products and services is experimenting with an unprecedented boom in promotion and communication marketing campaigns; airports such as Los Angeles (IATA: LAX) in the United States, Orlando International (IATA: MCO) in the United States, Schiphol Amsterdam (IATA: AMS) in the Netherlands or Changi airport (IATA: SIN) in Singapore are pioneers and recognised experts in marketing communication and technical aspects of promotion campaigns. The brand image of airports is a great opportunity to universalise loyalty marketing and price promotion for airport business portfolios. For this reason, in this chapter, we speak about neuromarketing science, which is a marketing discipline that uses medical techniques to understand how our central nervous system reacts to marketing stimuli. This is helping companies and airports get more consumer insights through digital channels.

Passive investing has established itself as the dominant force in the world of professionally managed assets, surpassing the concept of index funds. Its meteoric rise is fueled by investors’ preference for its dual benefits of strong diversification and low cost. A comprehensive study of the economic model, addressed areas and market structure has not yet been conducted, despite the existence of numerous studies on more specific topics. To address this gap, this paper examines 943 articles on passive investing published between 1998 and 2022 in SCOPUS and Web of Science.

The study utilizes the most pertinent tools for conducting a systematic review by the PRISMA framework. This article is the result of SLR and extensive bibliometric analysis. Contextualized systematic literature review is used to screen and select bibliographic data, which is then subjected to a variety of bibliometric analyses. The study provides a bibliometric overview of works on passive investment research that are indexed in Scopus and Web of Science. Bibliometrix, VoS Viewer and Cite Space are the tools used to conduct content and network analysis, to ascertain the present state of research, as well as its focus and direction.

Our exhaustive analysis yields important findings. One, the previous decade has witnessed a substantial increase in the number of publications and citations; in particular, the inter-disciplinary and international scope of related research has expanded; Second, the top three clusters on “active versus passive funds,” “price discovery and market structures” and “exchange-traded funds (ETFs) as an alternative” account for more than fifty percent of the domain’s knowledge; Third, “Leveraged ETFs (LETFs)” and “environmental, social and governance (ESG)” are the two emerging themes in the passive investing research. Fourth, despite its many benefits, passive investing is not suitable for everyone. To get the most out of what passive investing has to offer, investors, intermediaries and regulators must all exercise sufficient caution. Our study makes a substantial contribution to the field by conducting a comprehensive bibliometric analysis of the existing literature, highlighting key findings and implications, as well as future research directions.

While the study contributes significantly to the field of knowledge, it has several limitations that must be considered when interpreting its findings and implications. With our emphasis on academic journals, the study analyzed only peer-reviewed journal articles, excluding conference papers, reports and technical articles. While we are confident that our approach resulted in a comprehensive and representative database, our reliance on Elsevier Scopus and Web of Science may have resulted in us overlooking relevant work accessible only through other databases. Additionally, specific bibliometric properties may not be time-stable, and certain common distribution patterns of the passive investing literature may still be developing.

With this study, it has been possible to observe and chart the high growth trajectory of passive investing research globally, especially post-US subprime crisis. Despite the widespread adoption of passive investing as an investment strategy, it is not a one-size-fits-all proposition. Market conditions change constantly, and it frequently requires an informed eye to determine when and how much to shift away from active investments and toward passive ones. Currency ETFs enable investors to implement a carry trade strategy in their portfolios; however, as a word of caution, currency stability and liquidity can play a significant role in international ETFs. Similarly, LETFs may be better suited for dynamic strategies and offer less value to a long-term investor. Lastly, the importance of investor education cannot be underestimated in the name of the highly diversified portfolio when using passive alternatives, for which necessary efforts are required by regulators and investors alike.

The inexorable trend to passive investing creates numerous issues for fund management, including fee and revenue pressure, which forces traditional managers to seek new revenue streams, such as illiquid and private assets, which also implies increased portfolio risk. Additionally, the increased transparency and efficiency associated with the ETF market indicates that managers must rethink the entire value chain, beginning with technology and the way investments interact. Passive investments have triggered changes in market structure that are still not fully understood or factored in. Active management and a range of valuation opinions on whether a price is “too low” or “too high” provide much-needed depth to a market as it attempts to strike a delicate balance between demand and supply forces, ensuring liquidity at all price points.

I hereby certify that I am the sole author of this paper and that no part of this manuscript has been published or submitted for publication.

This study aims to examine the variables that influence learners’ acceptance of chat generative pre-trained transformer (ChatGPT) through the theoretical synthesis of variables in the field of behavioral science. It uses the use and gratifications theory in conjunction with variables related to the information system (IS), as proposed by the Delone and McLean IS success model.

This quantitative research collected data from 679 undergraduate students using stratified random sampling. A two-staged structural equation modeling (SEM)-neural network approach was used to analyze the data, with SEM used to study the factors influencing the intention to use ChatGPT. Additionally, an artificial neural network approach was used to confirm the results obtained through SEM.

The two-staged SEM-neural network approach yielded robust and consistent analysis results, indicating that the variable “System quality (SYQ)” has the highest influence, followed by “Cognitive need (CN),” “Information Quality (INQ),” “Social need (SN)” and “Affective need (AN)” in descending order of importance.

The results obtained from integrating the behavioral variables with IS variables will provide guidance to various organizations, such as the Ministry of Education, universities and educators, in the application of artificial intelligence technology in learning. They should prioritize the quality aspect of the system and the technological infrastructure that supports the use of ChatGPT for learning. Additionally, they should prepare learners to be ready in various dimensions, including knowledge, emotions and social aspects.

This study presents challenges in implementing artificial intelligence technology in learning, which educational institutions must embrace to keep up with the global technological trends. The educational sector should integrate artificial intelligence into the curriculum planning, teaching methods and learner assessment processes from the outset.

This study aims to explore both the drivers (performance expectancy and perceived usefulness of ChatGPT) and the barrier (effort expectancy) that Indonesian youth encounter when adopting generative AI technology, such as ChatGPT, as they pursue digital entrepreneurship.

This study utilizes Hayes' Process Model to evaluate the proposed hypotheses through survey data collected from 518 Indonesian youth.

This study's findings highlight a paradoxical relationship that emerges when effort expectancy intersects with performance expectancy and perceived usefulness of ChatGPT. Specifically, we discovered that when young individuals perceive the adoption of generative AI technology as requiring significant effort, their motivation to engage in digital entrepreneurship is significantly enhanced if they also view the tool as highly useful and beneficial to their future business endeavors.

The findings provide valuable insights for educators and policymakers focused on advancing digital entrepreneurship in developing nations through the integration of generative AI technology.

Our study enriches an underexplored niche within the field of entrepreneurship by examining the intersection of Indonesian youth, generative AI technology and digital entrepreneurship. By incorporating the Expectancy-Value Theory, it brings a fresh perspective to the study of paradoxical relationships in contemporary research in this domain.

The recent economic changes in India and the gender discrimination practices of the patriarchal society have forced Indian women to turn to the financial sector as an essential means of generating returns. This study aims to identify the factors influencing investors’ investment frequency in India’s two most recognized metropolitan areas.

The authors applied structural equation modeling to augment Allport’s consumer behavior model and the social influence theory for assessing the frequency of investments made by 690 investors. The direct and indirect linkages in the proposed model were evaluated using moderation and mediation techniques.

The study’s findings show that investors’ perceptions of gender discrimination practices and social influence considerably increase investors’ involvement, magnifying their investment frequency. In addition, access to reliable information reinforces the relationship between investors’ involvement and their frequency of investments, whereas the low-risk tolerance weakens this association.

The findings could help policymakers, investors, financial media outlets, financial experts, educational institutions and society strengthen India’s financial sector by leveraging the linkage between the underlying constructs and investors’ behavior.

The aspects of involvement and gender inequality have not garnered enough attention in the previous studies on behavioral finance. The study delves deeper into investor behavior by establishing a link between the underlying constructs and broadening the horizons of prominent consumer behavior models. It also unfurls the moderating role of access to information and risk tolerance to comprehend the association better.

India is one of the fastest developing economies, but it faces numerous socioeconomic problems, such as hunger, poverty, under- and unemployment, gender inequity and illiteracy. Corporate social responsibility (CSR) funding at the corporate level could tackle these socioeconomic problems, providing support to the nation’s overall development. Mandated CSR expenditures, in alignment with the achievement of the sustainable development goals (SDGs) of the United Nations, would support the nation’s contributions to building a sustainable future. Several questions, however, remain. Thus, this study aims to explore relationships between a company’s gross and net profits and its expenditures for CSR; and mapped the specific CSR activities used to address each of the 17 UN SDGs and then draw implications for human resource development (HRD).

The data were gathered from published annual reports (2019–23) of 60 Fortune 500 Indian companies. A zero-order correlation was used to find the relationship between CSR expenditure and gross, as well as net, profits. Furthermore, the CSR activities of the sample were mapped with the UN SDGs.

There was a positive, moderate to strong correlation between CSR expenditures and gross profit (r = 0.82, p < 0.01), but for net profit, the correlation was strong (r = 0.85, p < 0.01). All CSR activities mapped to at least one of the SDGs.

The alignment of CSR activities and SDGs based on Fortune 500 Indian companies has not yet been explored. Also, no study to date discusses the gaps in the CSR expenditures for specific UN SDGs.

Specifically, this study aims to examine residents’ perceptions regarding the following: the sociocultural, environmental and economic impacts generated by the presence of Airbnb and the irritability caused by the presence of Airbnb based on Doxey’s Doxey (1975) irritation index (i.e. index).

Twenty-one semistructured in-depth interviews were conducted between February and March 2021 with residents of three condominiums in the Huancaro residential complex. Data were analyzed using the qualitative data analysis software ATLAS.ti 8.

Results showed that participants perceived negative economic impacts regarding investments, jobs, real estate prices and overall cost of living; negative sociocultural impacts regarding criminality, social conflicts and cultural exchange; and negative environmental impacts regarding sanitation in the context of the pandemic and the state of the Airbnb apartments. Further, it was found that participants related to the following three of the four stages of irritability: euphoria, apathy and annoyance.

It is necessary to complement the information with the perceptions of the residents about the city’s authorities and managers in the hotel business before the stage of the COVID-19 pandemic and the current stage.

The study identifies improve Airbnb operations like establishing health paraments and defining cohabitation rules at the condominiums.

The residents consider that visitors’ returns produce positive and negative impacts on the quality of life being important for understanding their perceptions.

Short-term rental companies, such as Airbnb, generate a range of impacts on urban residents, particularly when travelers encroach on areas of the city beyond the traditional “tourist bubbles.” This study explored the perceptions of Airbnb’s impacts on activities among residents of Huancaro, a residential section of Cusco-Peru, in the context of tourism reopening after a year of an almost complete halt in tourism activities because of the COVID-19 pandemic. The study also highlighted the heterogenetic responses to Airbnb within the community.

Social interaction in comment sections has become a key factor for backers' decision making in crowdfunding platforms. However, current research on the two-way social interaction in crowdfunding is insufficient, and there exist inconsistent conclusions. This study focuses on the social interaction between creators and backers and explores its influence on the successful exit of crowdfunding projects.

The extended Cox model is used for the empirical analysis of 1,988 crowdfunding projects on the Modian (www.modian.com) platform, a crowdfunding platform for cultural and creative projects in China. The two-way social interaction is reflected in comment quantity and sentiment, as well as reply rate.

Results reveal an inverted U-shaped relationship between comment quantity/sentiment and the successful exit of crowdfunding projects. This relationship is strengthened by high reply rate.

This study focuses on comment quantity and sentiment. The inverted U-shaped results reconcile previous conclusions. Replies from creators are regarded as a separate factor, and their moderating role is explained. The study research proves the importance of social interaction in crowdfunding platforms and provides suggestions for backers, creators and platform managers.