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Record W2139331753

Key Competencies for Promoting Service Innovation: What are Implications for the Health Sector?

2015· article· en· W2139331753 on OpenAlex
Temidayo O. Akenroye, Christoph W. Kuenne

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue˜The œinnovation journal · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessHealth carePopulationService innovationHealth technologyPublic sectorMarketingPublic relationsService (business)Knowledge managementMedicineEconomic growthEconomicsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACTThe aim of the paper is to identify the essential competencies required to promote service innovation. The paper is based on a systematic literature review of published studies on service innovation competencies, from which seventeen competencies which aided service innovation were identified. A framework was then developed in which the competencies are classified into five organisational practices: knowledge management, employee engagement and user empowerment, cooperation and collaboration, effective leadership and agility. The paper discusses the implications of the findings for the health sector and future research.Keywords: service innovation, competencies, systematic literature review, health sectorIntroductionThe health sector represents almost 10 percent of the global economy and comprises a variety of stakeholders, including patients, regulators, providers, payers and suppliers (Kennedy and Berk, 2011). The challenges facing this sector are growing, especially because when the aging population increases, more people will need sustainable healthcare. The reduction of expenditure in the public sector has affected healthcare financing, leading to an inadequate health budget for current population levels. In addition, healthcare consumers have increasing expectations. Other problems facing the health sector are variable patient needs, skills shortages, variations in treatment options, cost and quality (Varkey, Horne and Bennet, 2008; Omachonu and Einspruch, 2010).Innovation has been identified as a key step towards addressing the existing problems of healthcare (Govindarajan, 2007). However, most innovation in the health sector is focused on clinical products and medical technology. Medical research has brought about extraordinary advances in diagnosis and treatments (Grose, 2008). For example, the advent of various smart medical technologies means that doctors can detect major illnesses earlier without facing the risk of complications. In addition, the use of computerised equipment has made it possible to deliver home based treatments for patients with major illnesses such as hypertension, stroke and renal diseases (Clark, 2008).Despite the fact that policy makers are paying increasing attention to innovation in the health sector, service innovation is a critically neglected area of healthcare research (Adams, 2003). This may be due to the fact that product and technological innovation has captured the attention of researchers. Unlike product innovation, service innovation is less radical and tends to implement incremental changes in organizational processes (Bernardt, 2000: Menor et al., 2002). Considering the aging population and reductions in health budgets, service innovation is a necessary response to the diverse challenges facing the health sector (Peckham, 2000).Successful service innovation has been associated with organisational competencies and capabilities (Stevens and Dimitriadis, 2005). According to Schilling (2011), competencies supporting service innovation can be defined as a combination of the knowledge, skills and organisational procedures which would assist individuals to perform their tasks collectively. The aim of this paper is to identify some fundamental competencies and practices that are used to promote service innovation in the literature.Based on this, lessons and suggestions will be drawn for the health sector. The following questions will be addressed: (1) Which competencies are referred to in the literature as supporting service innovation? (2) Which management or organisational practices are related to these competencies? (3) What are the implications of these competencies and their corresponding management practices for the health sector?The paper is structured as follows. Initially, we will conduct a systematic review of the literature to identify the competencies and capabilities of service innovation. We will then summarise these competencies into five key practices or areas of focus for promoting service innovation. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.877
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.119
GPT teacher head0.310
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it