‘Digital divide’ among European entrepreneurs: Which types benefit most from ICT implementation?

Millán, José María; Lyalkov, Serhiy; Burke, Andrew; Stel, André van

doi:10.1016/j.jbusres.2019.10.034

Cited by 43 publications

(22 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The orange cluster groups those studies dealing with digital technologies and their instrumental role in enabling industrial co‐creation practices in business‐to‐business contexts (Kostis & Ritala, 2020), stimulating knowledge exchanges (Boeker et al, 2019; Forman & Zeebroeck, 2019; Trantopoulos et al, 2017), inducing adoption of business model portfolios strategies (Alshawaaf & Lee, 2020; Li, 2020; Parmentier & Mangematin, 2014), unveiling the mechanisms to trigger growth through rapid scaling (Huang et al, 2017), and shedding light on the performance outcomes related to ICT implementation (Millán et al, 2019).…”

Section: Digital Transformation and Innovation Management: Opening Upmentioning

confidence: 99%

Digital Transformation and Innovation Management: A Synthesis of Existing Research and an Agenda for Future Studies

Appio

Frattini

Petruzzelli

et al. 2021

J of Product Innov Manag

403

176

View full text Add to dashboard Cite

Management and organizational scholars have paid increasing attention to the interconnections between digital transformation and innovation management in the last decade. However, a highly fragmented understanding of this topic is what we are left with so far. In this editorial, we suggest an approach to open up the black box of the interplay between digital transformation and innovation management by providing a framework that identifies three levels of analyisis (i.e., macro, meso, and micro) along which existing and future research on the topic can be organized. This model encourages scholars to conduct theoretical and empirical studies on how digital transformation affects ecosystems’ structure and governance, how industries and firms compete and organize for innovation in a digitalized world, how the processes for developing new products and services change under the effect of digital technologies, and the implications of digital transformation on managing people and teams involved in the innovation process, among the other topics. We also provide a synthesis of the eight papers published in the Special Issue that this editorial introduces and develop an agenda for future research that will hopefully contribute to encourage and shape future scholarly efforts into this field.

show abstract

Section: Digital Transformation and Innovation Management: Opening Upmentioning

confidence: 99%

Digital Transformation and Innovation Management: A Synthesis of Existing Research and an Agenda for Future Studies

Appio

Frattini

Petruzzelli

et al. 2021

J of Product Innov Manag

403

176

View full text Add to dashboard Cite

show abstract

“…Such a piece of information indicates that still, in Visegrád region (i.e. in these post-communist economies), most of the solo self-employed individuals cannot be described as freelancers who are joining the trend of digital nomadism and gig economy (Burke and Cowling, 2019; Millán et al , 2019). On the contrary, solo self-employed individuals work most often as skilled, agricultural, forestry (22.4%), as fishery workers and craft and related trades workers (20.5%).…”

Section: Data Sample and Variablesmentioning

confidence: 99%

Determinants of solo and employer entrepreneurship in Visegrád countries: findings from the Czech Republic, Hungary, Poland and Slovakia

Dvouletý

Orel

2020

JEC

View full text Add to dashboard Cite

Purpose This study aims to extend the existing body of literature on the individual-level determinants of self-employed persons with (employer entrepreneurs) and without employees (solo self-employed individuals) from the perspective of four post-communist economies (i.e. Czech Republic, Hungary, Poland and Slovakia). Design/methodology/approach The methodological approach is based on the three harmonised waves (2005, 2010 and 2015) of the European Survey on Working Conditions (EWCS). Multi-variate logistic regression models are used to determine the individual-level differences among employees, solo self-employed individuals and job creators in the selected group of countries. Findings The results show significant differences among employees, solo self-employed individuals and job creators, especially when it comes to the role of age, gender, education, previous experience, number of working hours and their determination. Job creators in Visegrád countries have, on average, more years of experience, and higher levels of education (tertiary), than wage-employees. Research limitations/implications This study provides a series of recommendations for future research on the role of family- and household-related characteristics, entrepreneurship-specific education and migration background. Originality/value The previous research on individual determinants of entrepreneurial engagement in Visegrád region was mainly based on the data from the Global Entrepreneurship Monitor. This study offers a novel perspective based on the EWCS data.

show abstract

“…In order to isolate the effects of our hypotheses-related variables, the empirical models also include a set of explanatory variables that are known to influence selfemployment earnings (see, e.g., Hamilton, 2000;Block & Wagner, 2010;Van Stel et al, 2018;Parker, 2018;Millán et al, 2014Millán et al, , 2020Millán et al, , 2021: educational attainment, job-related aspects (ICT use frequency at work, years of tenure, working hours, business sector) and some demographic indicators (gender, immigrant, age, cohabitation status, children, health status). In order to control for the business cycle and some structural differences between countries, the empirical models also include the national unemployment rates for periods 2010 and 2015, which we collect from Eurostat, and a period 2015 (vs. 2010) dummy.…”

Section: Control Variablesmentioning

confidence: 99%

Measuring performance differentials across entrepreneurship types

et al. 2021

Self Cite

View full text Add to dashboard Cite

It is increasingly being recognized that different types of entrepreneurs exist with different performance levels and different contributions to the economy. Two common classifications of entrepreneurship types are based on professional status and start-up motive, where independent own-account workers are assumed to perform better than dependent self-employed and opportunity entrepreneurs are assumed to perform better than necessity entrepreneurs. However, these supposed performance differentials are seldomly tested or quantified. Using recent data drawn from the European Working Conditions Survey for the EU-28, we explore self-employment earnings (as an indicator of performance) across these different entrepreneurship types. Our results from OLS and multilevel linear regressions show that dependent self-employed workers are indeed observed to have significantly lower earnings than independent own-account workers, but the difference is only 10%, suggesting that the precarious nature of the dependent self-employed may be overstated in certain policy circles. Regarding start-up motive, our paper highlights the importance of distinguishing the group of entrepreneurs who simultaneously have both opportunity and necessity motives to start a business.

show abstract

‘Digital divide’ among European entrepreneurs: Which types benefit most from ICT implementation?

Cited by 43 publications

References 47 publications

Digital Transformation and Innovation Management: A Synthesis of Existing Research and an Agenda for Future Studies

Digital Transformation and Innovation Management: A Synthesis of Existing Research and an Agenda for Future Studies

Determinants of solo and employer entrepreneurship in Visegrád countries: findings from the Czech Republic, Hungary, Poland and Slovakia

Measuring performance differentials across entrepreneurship types

Contact Info

Product

Resources

About