Social media platforms and social enterprise: Bibliometric analysis and systematic review

Ali, Imran; Balta, Maria; Παπαδόπουλος, Θάνος

doi:10.1016/j.ijinfomgt.2022.102510

Cited by 52 publications

(28 citation statements)

References 148 publications

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“…A systematic review by Khan and Khan ( 20 ) has pointed out that social media addiction has a negative impact on users' mental health. For example, social media addiction can lead to stress levels rise, loneliness, and sadness ( 54 ). Anxiety is another common mental health problem associated with social media addiction.…”

Section: Literature Reviewmentioning

confidence: 99%

Research trends in social media addiction and problematic social media use: A bibliometric analysis

2022

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Despite their increasing ubiquity in people's lives and incredible advantages in instantly interacting with others, social media's impact on subjective well-being is a source of concern worldwide and calls for up-to-date investigations of the role social media plays in mental health. Much research has discovered how habitual social media use may lead to addiction and negatively affect adolescents' school performance, social behavior, and interpersonal relationships. The present study was conducted to review the extant literature in the domain of social media and analyze global research productivity during 2013–2022. Bibliometric analysis was conducted on 501 articles that were extracted from the Scopus database using the keywords social media addiction and problematic social media use. The data were then uploaded to VOSviewer software to analyze citations, co-citations, and keyword co-occurrences. Volume, growth trajectory, geographic distribution of the literature, influential authors, intellectual structure of the literature, and the most prolific publishing sources were analyzed. The bibliometric analysis presented in this paper shows that the US, the UK, and Turkey accounted for 47% of the publications in this field. Most of the studies used quantitative methods in analyzing data and therefore aimed at testing relationships between variables. In addition, the findings in this study show that most analysis were cross-sectional. Studies were performed on undergraduate students between the ages of 19–25 on the use of two social media platforms: Facebook and Instagram. Limitations as well as research directions for future studies are also discussed.

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Section: Literature Reviewmentioning

confidence: 99%

Research trends in social media addiction and problematic social media use: A bibliometric analysis

2022

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“…Despite these attempts, to the best of our knowledge, there has not been bibliometric research that focused particularly on the use of VR in DM activities. Most of the bibliometric analysis research related to DM emphasises the Internet of Things (IoT) (Kumar et al, 2022), artificial intelligence (Han et al, 2021) and social media apps (Ali et al, 2022). Insights on the extent of VR immersion in DM bibliometric research are still unknown.…”

Section: Introductionmentioning

confidence: 99%

Virtual reality in digital marketing: research agenda based on bibliometric reflection

Zaki

Fernandez

Dastane

et al. 2023

MIP

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PurposeThis study unravels the intellectual structure of virtual reality (VR) in digital marketing (DM) research, identifies core research gaps and presents future research avenues. The study also conducts a performance analysis of publications in the field and identifies the most important stakeholders of the stated topic.Design/methodology/approachThe Web of Science database was used to retrieve the publications that were relevant to the topic between 2012 and 2022. Biblioshiny, a shiny app for the Bibliometrix R package, is used to conduct a bibliometric analysis by decoding the results into several visual representations.FindingsThis report includes the most prolific contributors, keyword analysis results, productive nations, authors and connections, as well as the most often cited publications on VR in DM. In DM research, numerous perspectives on VR were looked at, explored and revealed.Practical implicationsThe findings provide a new perspective and understanding of the issue for researchers in order to improve their research insights in the field. This study will also benefit marketing practitioners in ensuring the sustainability and innovativeness of technology used to run their DM campaigns.Originality/valueThis research provides the first bibliometric analysis of the citation works and productivity in the field of VR in DM using Biblioshiny, identifies core research gaps and provides future research agenda which can be useful to advance the research understanding in this context.

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“…Growth in the digital economy is disrupting all sorts of businesses, and for them to stay relevant in the market, they need to be more perceptive and agile (PwC, 2019). In the digital economy, all kinds of businesses are witnessing several strategic, financial and operational implications due to technological innovations and digital transformations (Ali, Balta, and Papadopoulos, 2022;Kitsios and Kamariotou, 2022;Kraus, Roig-Tierno, and Bouncken, 2019;Kraus et al, 2021;Nambisan, Wright, and Feldman, 2019;Olanrewaju et al, 2020). Even the most significant global businesses have now entered the digital economy space, leaving aside the functioning of the core industrial sector (Sebastian et al 2017;KPMG, 2017).…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The influence of digital entrepreneurship and entrepreneurial orientation on intention of family businesses to adopt artificial intelligence: examining the mediating role of business innovativeness

Upadhyay

Al-Debei

et al. 2022

IJEBR

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PurposeThis study aims to investigate the adoption intention of artificial intelligence (AI) in family businesses through the perspectives of digital entrepreneurship and entrepreneurship orientation.Design/methodology/approachThe study examines contributing factors explaining the adoption intention of AI in the context of family businesses. The developed research model is examined and validated using structural equation modelling based on 631 respondents' data. Purposeful sampling is used to collect the respondents' data.FindingsThe proposed model included two endogenous (i.e. business innovativeness and adoption intention) and six exogenous variables (i.e. affordances, culture and flexible design, entrepreneurial orientation, generativity, openness and technology orientation) through ten direct paths and three indirect paths. The results depicted the significant influence of all the exogenous variables on the endogenous variable reflecting support of all the hypotheses. The business innovativeness partially mediates the relationships of culture and flexible design, entrepreneurial orientation and technology orientation with adoption intention. Further, the results demonstrated a model variance of 24.6% for business innovativeness and 64.2% for adoption intention of artificial intelligence in the family business.Research limitations/implicationsThe study contributes to theoretical developments in entrepreneurship and family business research and AI's theoretical progress, especially to digital entrepreneurship.Originality/valueTheoretically, it contributes to the literature of entrepreneurship, particularly digital entrepreneurship. Additionally, the research model adds to the role of entrepreneurial orientation and digital entrepreneurship in the emerging family entrepreneurship literature. Considering the scarcity of research in this field, the empirically validated model explaining critical antecedents of AI adoption intention in the family business is a foundation for discussion, critique and future research.

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Social media platforms and social enterprise: Bibliometric analysis and systematic review

Cited by 52 publications

References 148 publications

Research trends in social media addiction and problematic social media use: A bibliometric analysis

Research trends in social media addiction and problematic social media use: A bibliometric analysis

Virtual reality in digital marketing: research agenda based on bibliometric reflection

The influence of digital entrepreneurship and entrepreneurial orientation on intention of family businesses to adopt artificial intelligence: examining the mediating role of business innovativeness

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