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SCHULTE-DERNE DÖRTE, LEHMANN CLAUDIA. HOW CAN MANAGERS DRIVE FIRM PERFORMANCE VIA DIGITAL INNOVATIONS? INTERNATIONAL JOURNAL OF INNOVATION MANAGEMENT 2022. [DOI: 10.1142/s1363919622400205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
This paper focuses on challenges regarding managerial behaviour and productivity in the context of digitalisation. It is neither understood precisely how managerial behaviours transcribe digital strategy into economic success nor how opportunities from digital innovations are transferred into productivity. A systematic literature review (SLR) is applied to acquire an organised overview of the research question “How does managerial behaviour concerning digital innovations change productivity?” The outcomes of this paper are threefold: (1) The research question will be answered by showing several aspects managers can make use of to influence productivity. In this regard knowledge, change management and data-driven behaviours, the creation of collaborative settings, and (customer) co-creative aspects are of particular importance. (2) Executives will be motivated to reflect and calibrate their own practices. (3) The Gutenberg rooted framework of production factors is used to discuss the results and six suggestions are made to transform the model to digital readiness.
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Affiliation(s)
- DÖRTE SCHULTE-DERNE
- HHL Leipzig Graduate School of Management, LF Group Chair of Digital Innovation in Service Industries, Jahnallee 59, 04109 Leipzig, Germany
| | - CLAUDIA LEHMANN
- HHL Leipzig Graduate School of Management, LF Group Chair of Digital Innovation in Service Industries, Jahnallee 59, 04109 Leipzig, Germany
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Moorthie S, Hayat S, Zhang Y, Parkin K, Philips V, Bale A, Duschinsky R, Ford T, Moore A. Rapid systematic review to identify key barriers to access, linkage, and use of local authority administrative data for population health research, practice, and policy in the United Kingdom. BMC Public Health 2022; 22:1263. [PMID: 35764951 PMCID: PMC9241330 DOI: 10.1186/s12889-022-13187-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 03/31/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Improving data access, sharing, and linkage across local authorities and other agencies can contribute to improvements in population health. Whilst progress is being made to achieve linkage and integration of health and social care data, issues still exist in creating such a system. As part of wider work to create the Cambridge Child Health Informatics and Linked Data (Cam-CHILD) database, we wanted to examine barriers to the access, linkage, and use of local authority data. METHODS A systematic literature search was conducted of scientific databases and the grey literature. Any publications reporting original research related to barriers or enablers of data linkage of or with local authority data in the United Kingdom were included. Barriers relating to the following issues were extracted from each paper: funding, fragmentation, legal and ethical frameworks, cultural issues, geographical boundaries, technical capability, capacity, data quality, security, and patient and public trust. RESULTS Twenty eight articles were identified for inclusion in this review. Issues relating to technical capacity and data quality were cited most often. This was followed by those relating to legal and ethical frameworks. Issue relating to public and patient trust were cited the least, however, there is considerable overlap between this topic and issues relating to legal and ethical frameworks. CONCLUSIONS This rapid review is the first step to an in-depth exploration of the barriers to data access, linkage and use; a better understanding of which can aid in creating and implementing effective solutions. These barriers are not novel although they pose specific challenges in the context of local authority data.
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Affiliation(s)
- Sowmiya Moorthie
- Cambridge Public Health, Interdisciplinary Research Centre, Forvie Site, Cambridge Biomedical Campus, Cambridge, UK.
- PHG Foundation, 2 Worts Causeway, University of Cambridge, Cambridge, UK.
| | - Shabina Hayat
- Cambridge Public Health, Interdisciplinary Research Centre, Forvie Site, Cambridge Biomedical Campus, Cambridge, UK
| | - Yi Zhang
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Katherine Parkin
- Cambridge Public Health, Interdisciplinary Research Centre, Forvie Site, Cambridge Biomedical Campus, Cambridge, UK
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | | | - Amber Bale
- Department of Psychology, University of Northumbria, Newcastle upon Tyne, UK
| | - Robbie Duschinsky
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Tamsin Ford
- Department of Psychiatry, University of Cambridge, Herschel Smith Building, Robinson Way, Cambridge, UK
| | - Anna Moore
- Department of Psychiatry, University of Cambridge, Herschel Smith Building, Robinson Way, Cambridge, UK
- Anna Freud National Centre for Children and Families, London, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, Peterborough, UK
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