Measuring the Digitalisation of Firms – A Novel Text Mining Approach

Axenbeck, Janna; Breithaupt, Patrick

doi:10.2139/ssrn.4321438

Cited by 4 publications

(5 citation statements)

References 41 publications

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“…Furthermore, evidence exists that working from home does not reduce overall mobility, potentially leading to increased leisure mobility when commuting needs are reduced (e.g. Axenbeck et al. , 2023; Shi et al.…”

Section: Discussionmentioning

confidence: 99%

Of study enthusiasts and homebirds: students’ everyday mobility and sustainability dilemmas in online higher education

Jutz,

Griese,

Rau

et al. 2024

IJSHE

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Purpose Online education enables location-independent learning, potentially providing university students with more flexible study programs and reducing traffic-related CO2 emissions. This paper aims to examine whether online education can contribute to university-related sustainable everyday mobility, with particular consideration given to aspects of social sustainability and potential rebound effects. Specifically, it explores sustainability dilemmas that arise from conflicting social and ecological effects. Design/methodology/approach Drawing on qualitative data from mobility diaries and extensive semistructured interviews (n = 26) collected at Osnabrück University of Applied Sciences in Germany, this study deploys thematic analysis and a typification approach to analyze and classify students’ daily practices related to studying, mobility and dwelling, which may be impacted by online education. Findings The study identifies six distinct student types with diverse practices in studying, mobility and dwelling. Comparisons between student types reveal stark differences regarding professional and social goals that students associate with their studies, influencing university-related mobility and residential choices. This leads to varying assessments of online education, with some students expecting benefits and others anticipating severe drawbacks. Practical implications The typology developed in this paper can assist Higher Education Institutions (HEIs) in comparable contexts in understanding the distinct needs and motivations of students, thereby proactively identifying sustainability dilemmas associated with online education. By leveraging these findings, HEIs can effectively balance diverse interests and contribute meaningfully to sustainability. Originality/value To the best of the authors’ knowledge, this study is among the first to systematically investigate conflicts and rebound effects of online education in the context of sustainable mobility within HEIs.

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Section: Discussionmentioning

confidence: 99%

Of study enthusiasts and homebirds: students’ everyday mobility and sustainability dilemmas in online higher education

Jutz,

Griese,

Rau

et al. 2024

IJSHE

View full text Add to dashboard Cite

show abstract

“…We collect these insights using a two-step transfer learning approach. The procedure is thoroughly described in the paper "Measuring the Digitalisation of Firms -A Novel Text Mining Approach" by Axenbeck and Breithaupt (2022).…”

Section: Firm Digitalisationmentioning

confidence: 99%

“…News article data with binary labels (left), machine learning model (middle), and continuous firm digitalisation scores based on scraped websites (right). Illustration fromAxenbeck and Breithaupt (2022).…”

mentioning

confidence: 99%

“…However, since longer distances are travelled in rural areas, and mostly by car, mobility reductions presumably lead to greater carbon emission savings here. For this reason, it would be beneficial for future research to investigate whether there are differences between urban and rural areas in terms of how digital technologies impact mobility changes.11 We use news articles from a large German newspaper corpus, which is described in detail inAxenbeck and Breithaupt (2022).12 Moreover, we only consider articles before 2020, as articles related to the Covid-19 crisis might bias later firm-level predictions.13 To this end, we use a Random Forest regression model suggested byBreiman (2001).…”

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confidence: 99%

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Firm Digitalisation and Mobility – Do Covid-19-Related Changes Persist?

Axenbeck¹,

Bertschek²,

Breithaupt³

et al. 2023

SSRN Journal

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“…In line with these ideas, Axenbeck and Breithaupt (2021) uses the web-mining approach to identify website characteristics predicting company-level product and process innovation activity, and Schwierzy et al (2022) show that website data can be used for the mapping of specific technologies such as additive manufacturing. Axenbeck and Breithaupt (2022) show that employers' website data can be used to measure innovations and other activities, such as those related to digitisation. Other publications use, for example, employer-related data from the social media platforms Twitter, Kununu 8 , and Facebook (e.g., Breithaupt et al (2020) and Veltri (2013)).…”

Section: Related Literaturementioning

confidence: 99%

Mapping Employee Mobility and Employer Networks Using Professional Network Data

Breithaupt,

Hottenrott,

Rammer

et al. 2023

SSRN Journal

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Measuring the Digitalisation of Firms – A Novel Text Mining Approach

Cited by 4 publications

References 41 publications

Of study enthusiasts and homebirds: students’ everyday mobility and sustainability dilemmas in online higher education

Of study enthusiasts and homebirds: students’ everyday mobility and sustainability dilemmas in online higher education

Firm Digitalisation and Mobility – Do Covid-19-Related Changes Persist?

Mapping Employee Mobility and Employer Networks Using Professional Network Data

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