Development and validation of the e-Work Self-Efficacy Scale to assess digital competencies in remote working

Tramontano, Carlo; Grant, Christine; Clarke, Carl

doi:10.1016/j.chbr.2021.100129

Cited by 40 publications

(52 citation statements)

References 38 publications

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“…The third digital resilience attribute is learning knowledge and skills including learning how to recognize and manage risk and learn from difficult experiences ( 19 , 20 , 25 , 28 , 29 , 35 ). If individuals have digital skills and knowledge, they can deal with unfamiliar technological circumstances.…”

Section: Resultsmentioning

confidence: 99%

“…In this digital age, digitally resilient students are also those who have the abilities to avoid disturbances caused by or the distractions of the digital learning environments during their studies, which helps students achieve learning effectiveness ( 32 ). Moving forward through self-efficacy was selected as an attribute to reflect the broad characteristics of being well-adjusted in the population ( 35 ). It means that an individual is not in the same state as before, and they are thriving at the bounce-back-better level.…”

Section: Resultsmentioning

confidence: 99%

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Digital Resilience Among Individuals in School Education Settings: A Concept Analysis Based on a Scoping Review

et al. 2022

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BackgroundNowadays, in an informational society, digital technologies are present in most areas of life, including school education fields. Students encounter risks or threats during online experiences. Digital resilience helps individuals recognize and manage the risks and threats they come across when they socialize, explore, or work online and plays an important role in the digital technology challenges. However, so far, the concept of digital resilience among individuals in the educational field has not been analyzed in detail.ObjectivesThe purpose of this study is to clarify the concept of digital resilience among students in a school education context, describe antecedents and consequences, and suggest a conceptual model for health educators.MethodsWalker and Avants’ concept analysis method and standards of the scoping review were used to clarify the attributes, antecedents, and consequences from the included articles. A thematic analysis approach of literature was utilized to describe the study findings. No date limitations were applied.ResultsA total of 22 included articles provided data for digital resilience conceptualization. Five defining attributes for the concept were identified as follows: (1) understanding online threats; (2) knowing solutions; (3) learning knowledge and skills; (4) recovering from stress; and (5) moving forward through self-efficacy. Antecedents included digital technology-related threats influenced by individual external and internal factors. Consequences were divided into two categories: behavioral performance and psychosocial functioning.ConclusionBased on the results of the concept analysis, a preliminary conceptual model of digital resilience was described as a circular process toward greater performance and function in the form of understanding, knowing, learning, recovering, and moving forward, when facing stressors, challenges, or adversity. The conceptual model of digital resilience can be further tested and may inform the enhancement of digital-specific resilience measures and interventions for students.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Digital Resilience Among Individuals in School Education Settings: A Concept Analysis Based on a Scoping Review

et al. 2022

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“…In this study, success is understood as the significant ability to complete a goal in a company (Gregory et al, 2021 ). Self-efficacy influences both direct and indirect individual performance and behavioral outcomes through its influence on tenacity, motivation, resilience, and one's capability to cope (Tramontano et al, 2021 ). A number of studies have reported that self-efficacy profoundly impacts academic performance in the field of educational psychology (Capron Puozzo and Audrin, 2021 ; Tramontano et al, 2021 ; Yeh et al, 2021 ).…”

Section: Literature Review and Hypothesismentioning

confidence: 99%

“…Self-efficacy influences both direct and indirect individual performance and behavioral outcomes through its influence on tenacity, motivation, resilience, and one's capability to cope (Tramontano et al, 2021 ). A number of studies have reported that self-efficacy profoundly impacts academic performance in the field of educational psychology (Capron Puozzo and Audrin, 2021 ; Tramontano et al, 2021 ; Yeh et al, 2021 ). The ability to foresee favorable outcomes, engage in demanding tasks and maintain the dedication to learning are characteristics of self-efficacious learners, which often result in positive academic outcomes (Feldon et al, 2019 ).…”

Section: Literature Review and Hypothesismentioning

confidence: 99%

How Smart Technology Affects the Well-Being and Supportive Learning Performance of Logistics Employees?

Jiang¹,

Wang²,

et al. 2022

Front. Psychol.

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The rapid improvement of technologies such as artificial intelligence in recent years has resulted in the development of smart technologies (ST) that can influence learning performance in different fields. The purpose of study is to explore the link between smart technology and learning performance. Using the S-O-R model as a framework, the researchers argue that smart technology (Stimuli) will increase corporate trust, self-efficacy, and well-being (Organism), resulting in improved learning performance (Response). The current model regards corporate trust and self-efficacy as relationship factors and investigates their direct influence on employee well-being and learning performance and the mediating role played by these variables. Additionally, the function of employee well-being in moderating the relationship between corporate trust, self-efficacy, and employee learning performance is also explored. The respondents (n = 516) in the present study are made up of employees from 10 logistics companies located in China. The data analysis is conducted using the AMOS software. The results show that that smart technologies can affect learning performance through corporate trust, self-efficacy, and employee well-being. The implementation of smart technology initiatives by corporations may provide positive workplace outcomes for employees (increased well-being), corporations (more engagement in workplace learning performance), and the relationship between employees and the companies that employ them (corporate trust and self-efficacy).

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“…New work environment creates and, at the same time, forces employees to develop new competencies and skills. Carlo Tramontano (Tramontano, Grant, and Clarke, 2021) indicates five groups of new competencies that should be developed by an organization and employees in order to positively advance remote work. They include:…”

Section: Figure 1 Forms Of Work Organization In An Enterprisementioning

confidence: 99%

New Models of Work Organization in an Industry 4.0 Enterprise - Evolution of the Form of Work

Włodarkiewicz-Klimek¹

2021

ERSJ

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Purpose: The purpose of the article is to indicate factors shaping a model of work organization that takes into account new forms of work in an Industry 4.0 enterprise which will function in the future post-pandemic period. Design/Methodology/Approach: The basis for identifying factors shaping a new work model was research on the future of work organization carried out in 2020-21 at a multinational automotive corporation, which successfully implemented Industry 4.0 principles in its executive and management processes. The research in the form of a case study was conducted in two stages. The first stage -a survey with an analysis of results based on descriptive statistics, the second stage -qualitative research focusing on observation techniques and desk research. Findings: The first part presents an analysis of the theory fundamentals characterizing the conditions of new forms of work. The second part describes research methodology and presents research results representing the issues under investigation. The result of the analysis is the presentation of key factors that should be taken into account when creating a new model of work including on-site, hybrid and remote work. Practical implications: The decision-making areas shaping a new model of work organization which are indicated in the article may serve as a model for other enterprises (especially manufacturing ones) regarding assessing the possibility of introducing new forms of work and key factors that will determine them. Originality/Value: As for the theoretical aspect, the article organizes the existing knowledge in the range of factors determining new models of work organization. As far as the research aspect is concerned, it is a source of knowledge about solutions developed in an Industry 4.0 enterprise.

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Development and validation of the e-Work Self-Efficacy Scale to assess digital competencies in remote working

Cited by 40 publications

References 38 publications

Digital Resilience Among Individuals in School Education Settings: A Concept Analysis Based on a Scoping Review

Digital Resilience Among Individuals in School Education Settings: A Concept Analysis Based on a Scoping Review

How Smart Technology Affects the Well-Being and Supportive Learning Performance of Logistics Employees?

New Models of Work Organization in an Industry 4.0 Enterprise - Evolution of the Form of Work

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