The state of #digitalentrepreneurship: a big data Leximancer analysis of social media activity

Wilk, Violetta; Cripps, Helen; Căpăţînă, Alexandru; Micu, Adrian; Micu, Angela-Eliza

doi:10.1007/s11365-020-00729-z

Cited by 27 publications

(20 citation statements)

References 37 publications

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“…After a preliminary understanding of digital entrepreneurship had been developed, scholars adopted fieldwork, semi-structured interviews, focus group interviews, and other ways to conduct qualitative research. Wilk et al adopt automated text mining to examine the digital entrepreneurship generated by social media users [32], while Orlandi et al use fuzzy-set qualitative comparative analysis to investigate the reasons for the failure of digital start-ups [33].…”

Section: Mainstream Methodologiesmentioning

confidence: 99%

Where Does Digital Entrepreneurship Go? A Review Based on a Scientific Knowledge Map

Long

Xie

Wei

et al. 2022

Mobile Information Systems

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There is more and more digital entrepreneurship emerging in practice, but research on it is rare and scattered, meaning that a review of digital entrepreneurship is important and necessary. Based on a data set covering 19 years of research, from 2003 to 2021, this article reviews 469 available articles from the Web of Science Core Collection. Using a scientific knowledge map, it divides digital entrepreneurship research into two stages, namely the “emerging stage” (2003–2017) and the “booming stage” (2018–2021). Research developed slowly in the emerging stage, focusing on the definition of digital entrepreneurship, the influence of digital technology, and antecedents of digital entrepreneurship. In the booming stage, however, digital entrepreneurship research grew explosively. This article sorts out the topics from three aspects, that is, organizational behavior, digital entrepreneurial ecosystem, and business model innovation. Longitudinal research, multi-case studies, mixed methods, and quantitative studies become mainstream, replacing the earlier single-case studies and conceptual analyses. The frontiers of research on digital entrepreneurship focus on digital entrepreneurial ecosystems, business model innovation, digital academic entrepreneurship, digital transformation, and the antecedents of digital entrepreneurship. This article proposes four future directions, including the interaction of digital entrepreneurship elements, the process of digital entrepreneurship with a dynamic perspective, digital entrepreneurship research at the community level, and digital entrepreneurship research in different contexts.

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Section: Mainstream Methodologiesmentioning

confidence: 99%

Where Does Digital Entrepreneurship Go? A Review Based on a Scientific Knowledge Map

Long

Xie

Wei

et al. 2022

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…Leximancer helps data processing visualize conceptual maps by generating main concepts contained within the text and determining how they are related. ACA with Leximancer is usually utilized for sentiment and data marekting analysis, as seen in [14] and [15]. Though, the resulting concepts and themes may deliver many useful insights with further analysis.…”

Section: B Slr With Aca To Gain the Whole Scope Of Tel Discussionmentioning

confidence: 99%

Critical Review of Technology-Enhanced Learning using Automatic Content Analysis

Rahmah¹,

Santoso²,

Hasibuan³

2022

IJACSA

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Technology-enhanced learning (TEL) continues to grow gradually while considering a multitude of factors, which underpins the need to develop a TEL maturity assessment as a guideline for this gradual improvement. This study investigates the potential application of TEL's expert knowledge presented in various research articles as qualitative data for developing assessment questionnaires. A mixed-method approach is applied to analyze the qualitative data using systematic literature review (SLR) with automated content analysis (ACA) as quantitative data processing to strengthen the trustworthiness of the findings and reduce researcher bias. This process is carried out six steps: conducting SLR, data processing with ACA using Leximancer, organizing resulting concepts with facet analysis, contextualizing each TEL facet, constructing the assessment questionnaire for each context, and establishing TEL maturity dimensions. This study generates 64 questionnaire statements grouped according to the target respondents, namely students, teachers, or institutions. This set of questions is also grouped into dimensions representing aligned context: student performance, learning process, applied technology, contents, accessibility, teachers and teachings, strategy and regulation. Further research is required to distribute this questionnaire for pilot respondents to design the improvement roadmap and check data patterns to formulate maturity appraisals and scoring methods.

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“…Digital transformation is one of the major topics discussed by academic researchers (Kraus et al, 2019; Wilk et al, 2021) and policymakers (Laudien et al, 2018; Nambisan et al, 2019) in recent times. The digital transformation leads to innovation, increased productivity and brings more dynamics to entrepreneurial activity (Bouncken et al, 2019; Matt et al, 2015).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Digital Transformation Taking Centre Stage: How Is Digital Transformation Reshaping Entrepreneurial Innovation?

Mukesh

2022

The Journal of Entrepreneurship

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The digital transformation has a profound implication for entrepreneurial innovation. In contrast, scholarly attention is mainly towards entrepreneurial innovation in pure digital businesses at the organisational and individual levels. However, our understanding of its implication at a higher level of aggregation, like the regional and national levels, is limited. Drawing on the national systems of innovation, I conceptualise digital transformation as changes in digital institutional and digitally relevant individual factors and examine its implication for digital business model innovation and entrepreneurial innovation at the country level. Using fuzzy-set qualitative comparative analysis for a sample of 55 countries, I explore the causal configurations explaining the implication of digital transformation. The result indicates that digital transformation fuels digital business model innovation in specific and entrepreneurial innovation in general at the country level. This study contributes to understanding the broader implication of digital transformation and extends the boundary condition of the national systems of innovation in the digital context.

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The state of #digitalentrepreneurship: a big data Leximancer analysis of social media activity

Cited by 27 publications

References 37 publications

Where Does Digital Entrepreneurship Go? A Review Based on a Scientific Knowledge Map

Where Does Digital Entrepreneurship Go? A Review Based on a Scientific Knowledge Map

Critical Review of Technology-Enhanced Learning using Automatic Content Analysis

Digital Transformation Taking Centre Stage: How Is Digital Transformation Reshaping Entrepreneurial Innovation?

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