Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning.

The advancement of artificial intelligence (AI) and the ubiquity of social media have become transformative agents in contemporary educational ecosystems. The spotlight of this inquiry focuses on the nexus between AI and social media usage in relation to academic performance and mental well-being, and the role of smart learning in facilitating these relationships. Using partial least squares-structural equation modeling (PLS-SEM) on a sample of 401 Chinese university students. The study results reveal that both AI and social media have a positive impact on academic performance and mental well-being among university students. Furthermore, smart learning serves as a positive mediating variable, amplifying the beneficial effects of AI and social media on both academic performance and mental well-being. These revelations contribute to the discourse on technology-enhanced education, showing that embracing AI and social media can have a positive impact on student performance and well-being.

Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis.

Artificial intelligence (AI) and blockchain are the two disruptive technologies emerging from the Fourth Industrial Revolution (IR4.0) that have introduced radical shifts in the industry. The amalgamation of AI and blockchain holds tremendous potential to create new business models enabled through digitalization. Although research on the application and convergence of AI and blockchain exists, our understanding of the utility of its integration for business remains fragmented. To address this gap, this study aims to characterize the applications and benefits of integrated AI and blockchain platforms across different verticals of business. Using bibliometric analysis, this study reveals the most influential articles on the subject based on their publications, citations, and importance in the intellectual network. Using content analysis, this study sheds light on the subject's intellectual structure, which is underpinned by four major thematic clusters focusing on supply chains, healthcare, secure transactions, and finance and accounting. The study concludes with 10 application areas in business that can benefit from these technologies.

Mapping the venture capital and private equity research: a bibliometric review and future research agenda.

The fields of venture capital and private equity are rooted in financing research on capital budgeting and initial public offering (IPO). Both fields have grown considerably in recent times with a heterogenous set of themes being explored. This review presents an analysis of research in both fields. Using a large corpus from the Web of Science, this study used bibliometric analysis to present a comprehensive encapsulation of the fields' geographical focus, methodological choices, prominent themes, and future research directions. Noteworthily, the foundational themes in venture capital research are venture capital adoption and financing processes, venture capital roles in business, venture capital governance, venture capital syndication, and venture capital and creation of public organizations. In private equity research, style drift into venture capital emerges as a key theme alongside buyouts and privatization, and valuation and performance of private equity investment.

Financing is an important aspect of business that creates opportunities for investors and invested entities. Venture capital and private equity are two major vehicles of financing a business. While venture capital manifests as small investments that support the business operations of a large number of promising firms (more risky) in the early stage (startup), private equity transpires as large investments that support the business expansion of a small number of stable firms (less risky) in the later stage (scaleup). This study presents state-of-the-art insights into the current trends and future directions of venture capital and private equity using a bibliometric analysis of high-quality research on these forms of financing.

The patient as a prosumer of healthcare: insights from a bibliometric-interpretive review.

PURPOSE: Healthcare policies around the globe are aimed at achieving patient-centeredness. The patient is understood as a prosumer of healthcare, wherein healthcare service co-production and value co-creation take center stage. The article endeavors to unpack the state of the literature on the innovations promoting the transition toward patient-centeredness, informing policy and management interventions fostering the reconceptualization of the patient as a prosumer of healthcare services. DESIGN/METHODOLOGY/APPROACH: A hybrid review methodology consisting of a bibliometric-interpretive review following the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol is used. The bibliometric component enabled us to objectively map the extant scientific knowledge into research streams, whereas the interpretive component facilitated the critical analysis of research streams. FINDINGS: Patient-centeredness relies on a bundle of innovations that are enacted through a cycle of patients' activation, empowerment, involvement and engagement, wherein the omission of any steps arrests the transition toward service co-production and value co-creation. Institutional, organizational and cognitive barriers should be overcome to boost the transition of patients from consumers to prosumers in a patient-centered model of healthcare. ORIGINALITY/VALUE: The article delivers the state of the art of the scientific literature in the field of innovations aimed at sustaining the transition toward patient-centeredness and provides some food for thoughts to scholars and practitioners who wish to push forward service co-production and value co-creation in healthcare.

Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research.

Sustainable finance is a rich field of research. Yet, existing reviews remain limited due to the piecemeal insights offered through a sub-set rather than the entire corpus of sustainable finance. To address this gap, this study aims to conduct a large-scale review that would provide a state-of-the-art overview of the performance and intellectual structure of sustainable finance. To do so, this study engages in a review of sustainable finance research using big data analytics through machine learning of scholarly research. In doing so, this study unpacks the most influential articles and top contributing journals, authors, institutions, and countries, as well as the methodological choices and research contexts for sustainable finance research. In addition, this study reveals insights into seven major themes of sustainable finance research, namely socially responsible investing, climate financing, green financing, impact investing, carbon financing, energy financing, and governance of sustainable financing and investing. To drive the field forward, this study proposes several suggestions for future sustainable finance research, which include developing and diffusing innovative sustainable financing instruments, magnifying and managing the profitability and returns of sustainable financing, making sustainable finance more sustainable, devising and unifying policies and frameworks for sustainable finance, tackling greenwashing of corporate sustainability reporting in sustainable finance, shining behavioral finance on sustainable finance, and leveraging the power of new-age technologies such as artificial intelligence, blockchain, internet of things, and machine learning for sustainable finance.

Home sharing in marketing and tourism at a tipping point: What do we know, how do we know, and where should we be heading?

The proliferation of home sharing in the extant marketing and tourism literature has only been accelerated in recent times due to the emergence of the sharing economy. This paper contends that it is now an opportune time to pursue a stock take of existing knowledge in order to guide future marketing and tourism research on home sharing. Therefore, the goal of this paper is to review and propose an agenda for home sharing from a marketing and tourism perspective. Through a framework-based systematic review, this paper offers an organized, retrospective view of the antecedents, decisions, and outcomes (ADO) of home sharing in marketing and tourism. The paper also provides a snapshot on the theories, contexts, and methods (TCM) employed to gain this understanding before concluding with a discussion on the extant knowledge gaps and the ways in which these gaps could be addressed through pertinent ideas for future marketing and tourism research on home sharing.

Toward an agency and reactance theory of crowding: Insights from COVID-19 and the tourism industry.

In the midst of the coronavirus pandemic, this article endeavors to offer expeditious insights into the impact of the global humanitarian crisis on the tourism industry from a consumer behavior perspective. To do so, this article employs the theory of crowding as an overarching theoretical lens, the coronavirus disease 2019 (COVID-19) as a context to represent a global humanitarian crisis, and the rapid review approach as a method to source maiden evidence. In doing so, this article sheds light on instances of undercrowding (undertourism) and overcrowding (overtourism) in tourism as a result of COVID-19, with interpretations enriched by agency theory and reactance theory-thereby resulting in the emergence of a new theory called the agency and reactance theory of crowding. The article concludes with pragmatic implications in light of the global humanitarian crisis.