Evidence map›Paper›PMID 33833714›Full record

ReviewFrontiers in psychology2021

Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors.

Brigid Trenerry, Samuel Chng, Yang Wang, Zainal Shah Suhaila, Sun Sun Lim, Han Yu Lu, Peng Ho Oh

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
64.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 485 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Brigid TrenerryLee Kuan Yew Centre for Innovative Cities, Singapore University of Technology and Design, Singapore, Singapore.
Samuel ChngLee Kuan Yew Centre for Innovative Cities, Singapore University of Technology and Design, Singapore, Singapore.
Yang WangLee Kuan Yew Centre for Innovative Cities, Singapore University of Technology and Design, Singapore, Singapore.
Zainal Shah SuhailaHumanities, Arts and Social Sciences, Singapore University of Technology and Design, Singapore, Singapore.
Sun Sun LimHumanities, Arts and Social Sciences, Singapore University of Technology and Design, Singapore, Singapore.
Han Yu LuLee Kuan Yew Centre for Innovative Cities, Singapore University of Technology and Design, Singapore, Singapore.
Peng Ho OhHumanities, Arts and Social Sciences, Singapore University of Technology and Design, Singapore, Singapore.
Singapore University of Technology and Design · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid advancement of new digital technologies, such as smart technology, artificial intelligence (AI) and automation, robotics, cloud computing, and the Internet of Things (IoT), is fundamentally changing the nature of work and increasing concerns about the future of jobs and organizations. To keep pace with rapid disruption, companies need to update and transform business models to remain competitive. Meanwhile, the growth of advanced technologies is changing the types of skills and competencies needed in the workplace and demanded a shift in mindset among individuals, teams and organizations. The recent COVID-19 pandemic has accelerated digitalization trends, while heightening the importance of employee resilience and well-being in adapting to widespread job and technological disruption. Although digital transformation is a new and urgent imperative, there is a long trajectory of rigorous research that can readily be applied to grasp these emerging trends. Recent studies and reviews of digital transformation have primarily focused on the business and strategic levels, with only modest integration of employee-related factors. Our review article seeks to fill these critical gaps by identifying and consolidating key factors important for an organization's overarching digital transformation. We reviewed studies across multiple disciplines and integrated the findings into a multi-level framework. At the individual level, we propose five overarching factors related to effective digital transformation among employees: technology adoption; perceptions and attitudes toward technological change; skills and training; workplace resilience and adaptability, and work-related wellbeing. At the group-level, we identified three factors necessary for digital transformation: team communication and collaboration; workplace relationships and team identification, and team adaptability and resilience. Finally, at the organizational-level, we proposed three factors for digital transformation: leadership; human resources, and organizational culture/climate. Our review of the literature confirms that multi-level factors are important when planning for and embarking on digital transformation, thereby providing a framework for future research and practice.

Indexed as

digital disruptiondigital technologydigital transformationemployeeliterature reviewmulti-level frameworkorganizationworkplace

Identifiers

PMID33833714
PMCPMC8021873
OpenAlexW3137116938

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.