Antecedents of technological readiness in times of crises: A comparison between before and during COVID-19

Durst, Susanne; Dávila, Andrés; Foli, Samuel; Kraus, Sascha; Cheng, Cheng-Feng

doi:10.1016/j.techsoc.2022.102195

Cited by 11 publications

(3 citation statements)

References 91 publications

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“…The findings of the study provided support for seven out of the eight research hypotheses while also revealing both parallels and contrasts in compari- The positive and significant impact of characteristics on the readiness and job performance of workers is in line with Höyng and Lau's (2023) findings, which emphasize that employees' proactive personalities as a coping mechanism for personal control influence how they perceive digitalization. Also, when the issue is placed in a context that requires adaptation, specific characteristics of employees can be beneficial for reaching technological readiness in enterprises (Durst et al, 2023).…”

Section: Discussionmentioning

confidence: 99%

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Determinants of employee digital transformation readiness and job performance: A case of SMEs in Vietnam

Thi Thu Thuy,

Pham Thi Thanh,

Thi Bich Ngoc

et al. 2023

Problems and Perspectives in Management

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The subject of stimulating employees toward digital transformation has always been one of the most significant topics, attracting the interests of scientists and decision-makers. This study analyzes the impact of critical factors, including self-efficacy, attitude, leadership, and employee characteristics on employee readiness for digital transformation and job performance. The variables were selected based on the extended theory of planned behavior and personal resource adaption models. To achieve the research objective, partial least squares structural equation modeling was employed. Data were collected from a survey of 302 employees of SMEs in Vietnam. Research findings showed that employees attitude (β = 0.1148; p &lt; 0.05), self-efficacy (β = 0.3737; p &lt; 0.05), and characteristics (β = 0.3328; p &lt; 0.05) affected their readiness for digital transformation. Employees self-efficacy and characteristics also demonstrated direct impacts on job performance. Meanwhile, leadership showed no direct impact (p = 0.6430) but an indirect impact on job performance through readiness (β = 0.1360, p &lt; 0.05). Additionally, among the factors, employee readiness is the most substantial predictor of job performance (β = 0.5152). The findings can benefit Vietnamese SME managers and policymakers, as they can better understand employees and develop effective strategies and measures to promote employee readiness and job performance in a digital transformation context. AcknowledgmentThis article is a scientific product of the ministry-level project “Research on factors affecting digital transformation of small and medium-sized enterprises in Vietnam”, code B2022-BKA-22, funded by the Ministry of Education and Training of Vietnam.

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Section: Discussionmentioning

confidence: 99%

“…The findings evidence is supported by Malodia et managed by qualified executives will perform better during the digital transformation process. In addition, digital self-efficacy has a varied effect on technical readiness before and during a crisis (Durst et al, 2023).…”

Section: Structural Equation Modeling (Sem)mentioning

confidence: 99%

Determinants of employee digital transformation readiness and job performance: A case of SMEs in Vietnam

Thi Thu Thuy,

Pham Thi Thanh,

Thi Bich Ngoc

et al. 2023

Problems and Perspectives in Management

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“…The three variables loaded on to component 3 have factor loading above 0.70, suggesting that they are strongly connected to project budget disruptions in Table III (Durst et al, 2023). Thus, it is necessary for AECO firms to seriously consider the adoption of emerging technologies such as drones, virtual reality, and artificial intelligence, internet of things, blockchain, and cloud computing for the delivery of projects in turbulent environment.…”

Section: Component 3: Project Budget Disruptionsmentioning

confidence: 99%

COVID-19 pandemic disruptions and environmental turbulence in architectural, engineering and construction project delivery space

Adesi

Ewuga

Owusu‐Manu

et al. 2023

IJBPA

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PurposeFirms in the architectural, engineering, construction and operations (AECO) sector continue undertaking projects in a disruptive environment due to the coronavirus disease 2019 (COVID-19) pandemic. This study aims to explore environmental turbulence in the AECO project delivery space and suggest mechanisms for enhancing resilience against future pandemics.Design/methodology/approachThe study adopts the quantitative approach by administering 110 survey questionnaires to participants comprising project managers, site engineers, quantity surveyors, contractors and subcontractors.FindingsThe study identifies 24 COVID-19 disruptions linked to environmental turbulence categorised as scheduling, performance and productivity, project budget, supply chain, resource allocation and technological and regulatory. The study suggested resilient mechanisms for surviving in future pandemics.Originality/valueThis study enhances the understanding of environmental turbulence from the perspective of COVID-19 disruptions in AECO project delivery, while the implementation of the resilient mechanisms improves capability of AECO firms against future pandemics.

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Reinforcing the Closing of the Circular Economy Loop Through Artificial Intelligence and Robotics

Sigüenza Tamayo,

Uriarte-Gallastegi,

Landeta-Manzano

et al. 2023

IFIP Advances in Information and Communication Technology

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Antecedents of technological readiness in times of crises: A comparison between before and during COVID-19

Cited by 11 publications

References 91 publications

Determinants of employee digital transformation readiness and job performance: A case of SMEs in Vietnam

Determinants of employee digital transformation readiness and job performance: A case of SMEs in Vietnam

COVID-19 pandemic disruptions and environmental turbulence in architectural, engineering and construction project delivery space

Reinforcing the Closing of the Circular Economy Loop Through Artificial Intelligence and Robotics

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