1
|
Bouwmans M, Lub X, Orlowski M, Nguyen TV. Developing the digital transformation skills framework: A systematic literature review approach. PLoS One 2024; 19:e0304127. [PMID: 38968253 PMCID: PMC11226094 DOI: 10.1371/journal.pone.0304127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 05/06/2024] [Indexed: 07/07/2024] Open
Abstract
BACKGROUND Digital transformation (DT) involves integrating digital technologies into organizations to improve productivity, efficiency, and quality. Investing in the workforce's skillsets is essential for successful DT. However, it remains unclear which skillsets are essential. OBJECTIVES This study aims to identify and define the essential skillsets needed for exploiting the full potential of DT, and to consolidate the identified skills into a comprehensive framework of DT skills. METHOD A systematic literature review was conducted using the PRISMA approach for selecting studies. This led to the selection of 36 articles that were examined using thematic analysis for identifying and consolidating skills into a framework. RESULTS The Digital Transformation Skills Framework (DTSF) was developed, which contains six overarching skillsets and 44 underlying skills. The framework covers key skillsets in the areas of digital work, entrepreneurship, evidence-based work, collaboration, communication, and adaptation. CONCLUSION AND DISCUSSION The DTSF offers a comprehensive understanding of essential skills for today's evolving organizations, addressing a critical gap in existing literature. It is valuable for organizations and HR professionals, serving as a foundation for re- and upskilling initiatives. Ongoing research should expand the framework to include domain-specific DT skills and emerging digital technologies.
Collapse
Affiliation(s)
- Machiel Bouwmans
- Research Group Organizations in Digital Transition, HU Utrecht University of Applied Sciences, Utrecht, The Netherlands
- Institute for People & Business, HU Utrecht University of Applied Sciences, Utrecht, The Netherlands
| | - Xander Lub
- Research Group Organizations in Digital Transition, HU Utrecht University of Applied Sciences, Utrecht, The Netherlands
- Research Group Strategy, Organization & Leadership, Nyenrode Business University, Breukelen, The Netherlands
| | - Marissa Orlowski
- MV Hospitality Solutions, LLC, Aurora, Colorado, United States of America
- Department of Marketing, Entrepreneurship, Hospitality and Tourism, Bryan School of Business, University of North Carolina at Greensboro, Greensboro, North Carolina, United States of America
| | - Thuy-Vy Nguyen
- Institute for People & Business, HU Utrecht University of Applied Sciences, Utrecht, The Netherlands
| |
Collapse
|
2
|
Qin S, Zhang J, Sun X, Meng G, Zhuang X, Jia Y, Shi WX, Zhang YP. A scale for measuring nursing digital application skills: a development and psychometric testing study. BMC Nurs 2024; 23:366. [PMID: 38822276 PMCID: PMC11140889 DOI: 10.1186/s12912-024-02030-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 05/20/2024] [Indexed: 06/02/2024] Open
Abstract
BACKGROUND The adoption of digitization has emerged as a new trend in the advancement of healthcare systems. To ensure high-quality care, nurses should possess sufficient skills to assist in the digital transformation of healthcare practices. Suitable tools have seldom been developed to assess nurses' skills in digital applications. This study aimed to develop the Nursing Digital Application Skill Scale (NDASS) and test its psychometric properties. METHODS The Nursing Digital Application Skill Scale was developed in three phases. In Phase 1, an item pool was developed based on previous literature and the actual situation of nursing work. Phase 2 included 14 experts' assessment of content validity and a focus group interview with 30 nurses to pretest the scale. In phase 3, 429 registered nurses were selected from March to June 2023, and item analysis, exploratory factor analysis, and confirmatory factor analysis were used to refine the number of items and explore the factor structure of the scale. Additionally, reliability was determined by internal consistency and test-retest reliability. RESULTS The final version of the NDASS consisted of 12 items. The content validity index of NDASS reached 0.975 at an acceptable level. The convergent validity test showed that the average variance extracted value was 0.694 (> 0.5) and the composite reliability value was 0.964 (> 0.7), both of which met the requirements. The principal component analysis resulted in a single-factor structure explaining 74.794% of the total variance. All the fitting indices satisfied the standard based upon confirmatory factor analyses, indicating that the single-factor structure contributed to an ideal model fit. The internal consistency appeared high for the NDASS, reaching a Cronbach's alpha value of 0.968. The test-retest reliability was 0.740, and the split-half coefficient was 0.935. CONCLUSION The final version of the NDASS, which possesses adequate psychometric properties, is a reliable and effective instrument for nurses to self-assess digital skills in nursing work and for nursing managers in designing nursing digital skill training.
Collapse
Affiliation(s)
- Shijia Qin
- Faculty of Nursing, Xi'an Jiaotong University Health Science Center, No.76, West Yanta Road, Xi'an, Shaanxi, 710061, China
| | - Jianzhong Zhang
- Faculty of Nursing, Xi'an Jiaotong University Health Science Center, No.76, West Yanta Road, Xi'an, Shaanxi, 710061, China
| | - Xiaomin Sun
- Department of Nursing, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, Shaanxi, 710018, China
| | - Ge Meng
- Faculty of Nursing, Xi'an Jiaotong University Health Science Center, No.76, West Yanta Road, Xi'an, Shaanxi, 710061, China
| | - Xinqi Zhuang
- Faculty of Nursing, Xi'an Jiaotong University Health Science Center, No.76, West Yanta Road, Xi'an, Shaanxi, 710061, China
| | - Yitong Jia
- Faculty of Nursing, Xi'an Jiaotong University Health Science Center, No.76, West Yanta Road, Xi'an, Shaanxi, 710061, China
| | - Wen-Xin Shi
- Faculty of Nursing, Xi'an Jiaotong University Health Science Center, No.76, West Yanta Road, Xi'an, Shaanxi, 710061, China
| | - Yin-Ping Zhang
- Faculty of Nursing, Xi'an Jiaotong University Health Science Center, No.76, West Yanta Road, Xi'an, Shaanxi, 710061, China.
| |
Collapse
|