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    Rights statement: This is the author’s version of a work that was accepted for publication in Technological Forecasting and Social Change. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Technological Forecasting and Social Change, 176, 2022 DOI: 10.1016/j.techfore.2021.121452

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    Embargo ends: 1/07/23

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Business Transformation in an Age of Turbulence-Lessons Learned from COVID-19

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Business Transformation in an Age of Turbulence-Lessons Learned from COVID-19. / Li, Xishu; Voorneveld, Maarten; de Koster, René.

In: Technological Forecasting and Social Change, Vol. 176, 121452, 31.03.2022.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Li, X, Voorneveld, M & de Koster, R 2022, 'Business Transformation in an Age of Turbulence-Lessons Learned from COVID-19', Technological Forecasting and Social Change, vol. 176, 121452. https://doi.org/10.1016/j.techfore.2021.121452

APA

Li, X., Voorneveld, M., & de Koster, R. (2022). Business Transformation in an Age of Turbulence-Lessons Learned from COVID-19. Technological Forecasting and Social Change, 176, [121452]. https://doi.org/10.1016/j.techfore.2021.121452

Vancouver

Li X, Voorneveld M, de Koster R. Business Transformation in an Age of Turbulence-Lessons Learned from COVID-19. Technological Forecasting and Social Change. 2022 Mar 31;176. 121452. https://doi.org/10.1016/j.techfore.2021.121452

Author

Li, Xishu ; Voorneveld, Maarten ; de Koster, René. / Business Transformation in an Age of Turbulence-Lessons Learned from COVID-19. In: Technological Forecasting and Social Change. 2022 ; Vol. 176.

Bibtex

@article{481f6fad1ef74effbf535e703dc7a01f,
title = "Business Transformation in an Age of Turbulence-Lessons Learned from COVID-19",
abstract = "The COVID-19 pandemic has caused global economic turmoil. Although many companies have suffered huge losses, some have flourished by changing their old ways of doing business. We investigate the business transformation process under drastic market changes and time pressure, with a focus on decision speed and structure in the decision & planning phase, the implementation structure and monitoring in the implementation phase, and reinforcement after the implementation. Through case studies in a variety of industries, including manufacturing, e-commerce, and finance, we explore how companies in specific contexts have dealt with the above-mentioned critical factors when transforming their business during the pandemic, whether the experienced transformation processes differ from theory, and if so, how. The examples of business transformations cover eight categories, including work from home, the use of augmented reality, internet of things, and business model redesign. Our findings reveal how these transformations are perceived and evaluated by companies one year into the pandemic. In addition, we show how decision speed, structure of the decision-making process, structure of the implementation process, and scale of the implementation impact the completion time of the transformations. Based on our results, we provide suggestions to companies for an effective business transformation in times of crisis.",
keywords = "Business transformation, Technology, COVID-19, Decision speed, Top-down decision, Roadmap, Monitoring, Reinforcement",
author = "Xishu Li and Maarten Voorneveld and {de Koster}, Ren{\'e}",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Technological Forecasting and Social Change. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Technological Forecasting and Social Change, 176, 2022 DOI: 10.1016/j.techfore.2021.121452",
year = "2022",
month = mar,
day = "31",
doi = "10.1016/j.techfore.2021.121452",
language = "English",
volume = "176",
journal = "Technological Forecasting and Social Change",
issn = "0040-1625",
publisher = "Elsevier Inc.",

}

RIS

TY - JOUR

T1 - Business Transformation in an Age of Turbulence-Lessons Learned from COVID-19

AU - Li, Xishu

AU - Voorneveld, Maarten

AU - de Koster, René

N1 - This is the author’s version of a work that was accepted for publication in Technological Forecasting and Social Change. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Technological Forecasting and Social Change, 176, 2022 DOI: 10.1016/j.techfore.2021.121452

PY - 2022/3/31

Y1 - 2022/3/31

N2 - The COVID-19 pandemic has caused global economic turmoil. Although many companies have suffered huge losses, some have flourished by changing their old ways of doing business. We investigate the business transformation process under drastic market changes and time pressure, with a focus on decision speed and structure in the decision & planning phase, the implementation structure and monitoring in the implementation phase, and reinforcement after the implementation. Through case studies in a variety of industries, including manufacturing, e-commerce, and finance, we explore how companies in specific contexts have dealt with the above-mentioned critical factors when transforming their business during the pandemic, whether the experienced transformation processes differ from theory, and if so, how. The examples of business transformations cover eight categories, including work from home, the use of augmented reality, internet of things, and business model redesign. Our findings reveal how these transformations are perceived and evaluated by companies one year into the pandemic. In addition, we show how decision speed, structure of the decision-making process, structure of the implementation process, and scale of the implementation impact the completion time of the transformations. Based on our results, we provide suggestions to companies for an effective business transformation in times of crisis.

AB - The COVID-19 pandemic has caused global economic turmoil. Although many companies have suffered huge losses, some have flourished by changing their old ways of doing business. We investigate the business transformation process under drastic market changes and time pressure, with a focus on decision speed and structure in the decision & planning phase, the implementation structure and monitoring in the implementation phase, and reinforcement after the implementation. Through case studies in a variety of industries, including manufacturing, e-commerce, and finance, we explore how companies in specific contexts have dealt with the above-mentioned critical factors when transforming their business during the pandemic, whether the experienced transformation processes differ from theory, and if so, how. The examples of business transformations cover eight categories, including work from home, the use of augmented reality, internet of things, and business model redesign. Our findings reveal how these transformations are perceived and evaluated by companies one year into the pandemic. In addition, we show how decision speed, structure of the decision-making process, structure of the implementation process, and scale of the implementation impact the completion time of the transformations. Based on our results, we provide suggestions to companies for an effective business transformation in times of crisis.

KW - Business transformation

KW - Technology

KW - COVID-19

KW - Decision speed

KW - Top-down decision

KW - Roadmap

KW - Monitoring

KW - Reinforcement

U2 - 10.1016/j.techfore.2021.121452

DO - 10.1016/j.techfore.2021.121452

M3 - Journal article

VL - 176

JO - Technological Forecasting and Social Change

JF - Technological Forecasting and Social Change

SN - 0040-1625

M1 - 121452

ER -