Prepared for work in Industry 4.0? Modelling the target activity system and five dimensions of worker readiness

Blayone, Todd J. B.; vanOostveen, Roland

doi:10.1080/0951192x.2020.1836677

Cited by 30 publications

(17 citation statements)

References 99 publications

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“…A three-facet target activity model, addressing RQ1 and summarised below, was developed from data generated for an integrative literature review addressing workforce readiness for Industry 4.0 (Blayone and vanOostveen, 2020). It is noteworthy that the precise characteristics of digitalised work will be shaped by sector-specific requirements, chosen technology systems, levels of automation, organisational cultures and individual differences (Fischer and Pöhler, 2018).…”

Section: Methodology: Apparatuses and Proceduresmentioning

confidence: 99%

“…Less prominent factors include intrapersonal and intercultural skills (Hecklau et al , 2016; Mittelmann, 2018). These models, however, tend to be early-stage proposals based on small-scale literature reviews (Blayone and vanOostveen, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

“…An emerging challenge for technology readiness researchers, therefore, is to explore the defining qualities of digitalised work and the new demands they place on workforce entrants. To date, there have been only scattered and early-stage responses to this challenge (Blayone and VanOostveen, 2020). Moreover, there is little agreement as to what domains the investigation of human readiness for digitalised work properly belongs (Murawski and Bick, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Second, this study draws attention to less researched dispositional factors influencing worker readiness. On this point, digitalised environments, which increase human–machine intimacy and exhibit high levels of structural dynamism, are expected to place new social, cognitive and emotional demands on workers (Blayone and vanOostveen, 2020).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Exploring technology attitudes and personal–cultural orientations as student readiness factors for digitalised work

Blayone

Mykhailenko

Usca

et al. 2020

HESWBL

Self Cite

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PurposeEmerging forms of digitalisation are placing new demands on workforce entrants around the globe. This study, catalysed by innovation programs in Ukraine and Latvia, conceptualises, measures and compares key facets of dispositional readiness of university students in two post-Soviet nations for digitalised work.Design/methodology/approachSurvey data, addressing technology attitudes and personal–cultural orientations (PCO), were collected by project teams at universities in Ukraine and Latvia and delivered to the authors for analysis. The authors defined three characteristics of digitalised work, conceptually positioned five of the measured constructs as readiness factors and generated readiness profiles for the two national student cohorts. Investigation of significant differences between the groups was conducted using an Independent Samples T-Test. A composite profile was produced for comparing the overall dispositional readiness of both groups for digitalised work.FindingsThe factor-level profiles showed similar patterns of dispositional alignment and misalignment with digitalised work. For example, technology optimism and learning interest were reported by large percentages of Ukrainians and Latvians and tolerance for unstructured work by small percentages. However, significant differences were found in group levels of technology optimism, technology anxiety, ambiguity intolerance and empowered decision-making. In each case, the Ukrainian profile appeared more strongly aligned with the target.Practical implicationsThe global digitalisation of work requires students, educators, human resource professionals and business leaders to rethink workforce readiness assessment and adapt (re)training programs. Technology enthusiasm and learning interest should be regarded as crucial measurable attitudes motivating technical skills development. Also, cultural orientations should be positioned alongside personality traits and digital skills as factors shaping successful human–computer interaction.Originality/valueThis study initiates a new sociotechnical and cross-cultural trajectory of technology readiness research from data generated in two post-Soviet contexts. Moreover, it positions several measurable dispositions as factors influencing student readiness for digitalised work.

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Section: Methodology: Apparatuses and Proceduresmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Exploring technology attitudes and personal–cultural orientations as student readiness factors for digitalised work

Blayone

Mykhailenko

Usca

et al. 2020

HESWBL

Self Cite

View full text Add to dashboard Cite

show abstract

“…Nevertheless, this project is crucial to the success of Industry 4.0 because aside from a few 'dark factory' scenarios, humans are considered more adaptive than machine entities and vital to future production". The technology has made possible new products and services that have generated significant transformations in both personal and professional life, emphasizing the interaction between machines and people [4]. Accordingly, a person should change and at the same time perceive the environment, resources and attitude to education and production in a new way.…”

Section: Introductionmentioning

confidence: 99%

Cultural аnd Mental Peculiarities of Innovation Processes’ Development in Ukraine in the Context of Industry 4.0

2021

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The article deals with cultural and mental peculiarities of innovation processes’ development in Ukraine in the context of Industry 4.0. There has been presented a comparative rating of some world countries according to NRI, ICT, GOI, IDI, GII indices and the position of Ukraine over the past decade has been stated. The main results of innovation activity in Ukraine that lie in low innovative activity have been characterized. The factors that hinder innovation activity are insufficient level of educational training, low activity in offering innovative ideas, no incentive to create something new etc. In addition, a significant negative impact on innovation activity is exerted by cultural and mental factors of the population, a considerable part of which does not have entrepreneurial skills. There have been substantiated some socio-cultural and mental characteristics of Ukrainians that determine their innovative activity, namely reduce the competitiveness of the country's human capital both at the personal and national levels. The solution of the problem has been proposed which implies cooperation between three main components of the innovative economy – "science – education – production" as a common system.

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Exploring digital transformation capability via a blended perspective of dynamic capabilities and digital maturity: a pattern matching approach

Leso,

Cortimiglia,

Ghezzi

et al. 2023

Rev Manag Sci

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Prepared for work in Industry 4.0? Modelling the target activity system and five dimensions of worker readiness

Cited by 30 publications

References 99 publications

Exploring technology attitudes and personal–cultural orientations as student readiness factors for digitalised work

Exploring technology attitudes and personal–cultural orientations as student readiness factors for digitalised work

Cultural аnd Mental Peculiarities of Innovation Processes’ Development in Ukraine in the Context of Industry 4.0

Exploring digital transformation capability via a blended perspective of dynamic capabilities and digital maturity: a pattern matching approach

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