Sarah Samuelson, Ann Svensson, Irene Svenningsson and Sandra Pennbrant
To meet future healthcare needs, primary care is undergoing a transformation in which innovations and new ways of working play an important role. However, successful innovations…
Abstract
Purpose
To meet future healthcare needs, primary care is undergoing a transformation in which innovations and new ways of working play an important role. However, successful innovations depend on joint learning and rewarding collaborations between healthcare and other stakeholders. This study aims to explore how learning develops when entrepreneurs, healthcare professionals and older people collaborate in a primary care living lab.
Design/methodology/approach
The study had an action research design and was conducted at a clinically embedded living lab at a primary care centre on the west coast of Sweden. Data consisted of e-mail conversations, recordings from design meetings and three group interviews with each party (entrepreneurs, healthcare professionals and older people). Data were analysed with inductive qualitative content analysis.
Findings
An overarching theme, “To share each other’s worlds in an arranged space for learning”, was found, followed by three categories, “Prerequisites for learning”, “Strategies to achieve learning” and “To learn from and with each other”. These three categories comprise eight subcategories.
Originality/value
This research contributes to knowledge regarding the need for arranged spaces for learning and innovation in primary care and how collaborative learning can contribute to the development of practice.
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Olusegun Emmanuel Akinwale and Olusoji James George
The mass exodus of the professional healthcare workforce has become a cankerworm for a developing nation like Nigeria, and this worsens the already depleted healthcare systems in…
Abstract
Purpose
The mass exodus of the professional healthcare workforce has become a cankerworm for a developing nation like Nigeria, and this worsens the already depleted healthcare systems in underdeveloped nation. This study investigated the rationale behind medical workers' brain-drain syndrome and the quality healthcare delivery in the Nigerian public healthcare sector.
Design/methodology/approach
To stimulate an understanding of the effect of the phenomenon called brain drain, the study adopted a diagnostic research design to survey the public healthcare personnel in government hospitals. The study administered a battery of adapted research scales of different measures to confirm the variables of interest of this study on a probability sampling strategy. The study surveyed 450 public healthcare sector employees from four government hospitals to gather pertinent data. The study used a structural equation model (SEM) and artificial neural networks (ANNs) to analyse the collected data from the medical personnel of government hospitals.
Findings
The findings of this study are significant as postulated. The study discovered that poor quality worklife experienced by Nigerian medical personnel was attributed to the brain-drain effect and poor healthcare delivery. The study further demonstrated that job dissatisfaction suffered among the public healthcare workforce forced the workforce to migrate to the international labour market, and this same factor is a reason for poor healthcare delivery. Lastly, the study discovered that inadequate remuneration and pay discouraged Nigerian professionals and allied healthcare workers from being productive and ultimately pushed them to the global market.
Originality/value
Practically, this study has shown three major elements that caused the mass movement of Nigerian healthcare personnel to other countries of the world and that seems novel given the peculiarity of the Nigerian labour market. The study is original and novel as much study has not been put forward in the public healthcare sector in Nigeria concerning this phenomenon.
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This study aims to present the concept of aircraft turbofan engine health status prediction with artificial neural network (ANN) pattern recognition but augmented with automated…
Abstract
Purpose
This study aims to present the concept of aircraft turbofan engine health status prediction with artificial neural network (ANN) pattern recognition but augmented with automated features engineering (AFE).
Design/methodology/approach
The main concept of engine health status prediction was based on three case studies and a validation process. The first two were performed on the engine health status parameters, namely, performance margin and specific fuel consumption margin. The third one was generated and created for the engine performance and safety data, specifically created for the final test. The final validation of the neural network pattern recognition was the validation of the proposed neural network architecture in comparison to the machine learning classification algorithms. All studies were conducted for ANN, which was a two-layer feedforward network architecture with pattern recognition. All case studies and tests were performed for both simple pattern recognition network and network augmented with automated feature engineering (AFE).
Findings
The greatest achievement of this elaboration is the presentation of how on the basis of the real-life engine operational data, the entire process of engine status prediction might be conducted with the application of the neural network pattern recognition process augmented with AFE.
Practical implications
This research could be implemented into the engine maintenance strategy and planning. Engine health status prediction based on ANN augmented with AFE is an extremely strong tool in aircraft accident and incident prevention.
Originality/value
Although turbofan engine health status prediction with ANN is not a novel approach, what is absolutely worth emphasizing is the fact that contrary to other publications this research was based on genuine, real engine performance operational data as well as AFE methodology, which makes the entire research very reliable. This is also the reason the prediction results reflect the effect of the real engine wear and deterioration process.
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Federico Caniato, Gary Graham, Jens K. Roehrich and Ann Vereecke
International Journal of Operations and Production Management (IJOPM)'s Impact Pathway (IP) section has been launched in 2020 to host short contributions grounded in current…
Abstract
Purpose
International Journal of Operations and Production Management (IJOPM)'s Impact Pathway (IP) section has been launched in 2020 to host short contributions grounded in current managerial practices and/or policy development, challenging established operations and supply chain management (OSCM) knowledge and highlighting innovative and relevant research directions. This commentary reflects on the achievements of the section, delineates the key features of IP papers and stimulates further development.
Design/methodology/approach
This commentary provides a brief overview of the IJOPM's IP section, taking stock of the contributions that have been published so far, analysing their topics, methodologies, insights and impact.
Findings
The 19 contributions published over the last three years have dealt with a variety of emerging topics, ranging from the COVID-19 response to additive manufacturing, leveraging on key evidence from managerial practice that challenges consolidated knowledge and theory, providing clear research directions as well as managerial and/or policy guidelines.
Originality/value
The commentary reflects on the importance of phenomenon-driven research that seeks to bridge the gap between theory and practice, thus increasing the impact and reach of OSCM research. This is a call for contributions from scholars, business leaders and policymakers to develop further impact-oriented research.
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Hassam Waheed, Peter J.R. Macaulay, Hamdan Amer Ali Al-Jaifi, Kelly-Ann Allen and Long She
In response to growing concerns over the negative consequences of Internet addiction on adolescents’ mental health, coupled with conflicting results in this literature stream…
Abstract
Purpose
In response to growing concerns over the negative consequences of Internet addiction on adolescents’ mental health, coupled with conflicting results in this literature stream, this meta-analysis sought to (1) examine the association between Internet addiction and depressive symptoms in adolescents, (2) examine the moderating role of Internet freedom across countries, and (3) examine the mediating role of excessive daytime sleepiness.
Design/methodology/approach
In total, 52 studies were analyzed using robust variance estimation and meta-analytic structural equation modeling.
Findings
There was a significant and moderate association between Internet addiction and depressive symptoms. Furthermore, Internet freedom did not explain heterogeneity in this literature stream before and after controlling for study quality and the percentage of female participants. In support of the displacement hypothesis, this study found that Internet addiction contributes to depressive symptoms through excessive daytime sleepiness (proportion mediated = 17.48%). As the evidence suggests, excessive daytime sleepiness displaces a host of activities beneficial for maintaining mental health. The results were subjected to a battery of robustness checks and the conclusions remain unchanged.
Practical implications
The results underscore the negative consequences of Internet addiction in adolescents. Addressing this issue would involve interventions that promote sleep hygiene and greater offline engagement with peers to alleviate depressive symptoms.
Originality/value
This study utilizes robust meta-analytic techniques to provide the most comprehensive examination of the association between Internet addiction and depressive symptoms in adolescents. The implications intersect with the shared interests of social scientists, health practitioners, and policy makers.
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Emma Dickerson, Lee-Ann Fenge and Emily Rosenorn-Lanng
This paper aims to explore the learning needs of general practitioners (GPs) involved in commissioning mental health provision in England, and offer an evaluation of a leadership…
Abstract
Purpose
This paper aims to explore the learning needs of general practitioners (GPs) involved in commissioning mental health provision in England, and offer an evaluation of a leadership and commissioning skills development programme for Mental Health Commissioners.
Design/methodology/approach
Retrospective mixed method, including online mixed method survey, rating participants’ knowledge, skills, abilities, semi-structured telephone interviews and third-party questionnaires were used. Results were analysed for significant differences using the Wilcoxon Signed Ranks test. Open-ended responses and interview transcripts were analysed thematically.
Findings
Indicative results showed that participants perceived significant impacts in ability across eight key question groups evaluated. Differences were found between the perceived and observed impact in relation to technical areas covered within the programme which were perceived as the highest scoring impacts by participants.
Research limitations/implications
The indicative results show a positive impact on practice has been both perceived and observed. Findings illustrate the value of this development programme on both the personal development of GP Mental Health Commissioners and commissioning practice. Although the findings of this evaluation increase understanding in relation to an important and topical area, larger scale, prospective evaluations are required. Impact evaluations could be embedded within future programmes to encourage higher participant and third-party engagement. Future evaluations would benefit from collection and analysis of attendance data. Further research could involve patient, service user and carer perspectives on mental health commissioning.
Originality value
Results of this evaluation could inform the development of future learning programmes for mental health commissioners as part of a national approach to improve mental health provision.
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Niki A. Rust, Emilia Noel Ptak, Morten Graversgaard, Sara Iversen, Mark S. Reed, Jasper R. de Vries, Julie Ingram, Jane Mills, Rosmarie K. Neumann, Chris Kjeldsen, Melanie Muro and Tommy Dalgaard
Soil quality is in decline in many parts of the world, in part due to the intensification of agricultural practices. Whilst economic instruments and regulations can help…
Abstract
Soil quality is in decline in many parts of the world, in part due to the intensification of agricultural practices. Whilst economic instruments and regulations can help incentivise uptake of more sustainable soil management practices, they rarely motivate long-term behavior change when used alone. There has been increasing attention towards the complex social factors that affect uptake of sustainable soil management practices. To understand why some communities try these practices whilst others do not, we undertook a narrative review to understand how social capital influences adoption in developed nations. We found that the four components of social capital – trust, norms, connectedness and power – can all influence the decision of farmers to change their soil management. Specifically, information flows more effectively across trusted, diverse networks where social norms exist to encourage innovation. Uptake is more limited in homogenous, close-knit farming communities that do not have many links with non-farmers and where there is a strong social norm to adhere to the status quo. Power can enhance or inhibit uptake depending on its characteristics. Future research, policy and practice should consider whether a lack of social capital could hinder uptake of new practices and, if so, which aspects of social capital could be developed to increase adoption of sustainable soil management practices. Enabling diverse, collaborative groups (including farmers, advisers and government officials) to work constructively together could help build social capital, where they can co-define, -develop and -enact measures to sustainably manage soils.
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Lars-Erik Gadde and Håkan Håkansson
In today’s business settings, most firms strive to closely integrate their resources and activities with those of their business partners. However, these linkages tend to create…
Abstract
Purpose
In today’s business settings, most firms strive to closely integrate their resources and activities with those of their business partners. However, these linkages tend to create lock-in effects when changes are needed. In such situations, firms need to generate new space for action. The purpose of this paper is twofold: analysis of potential action spaces for restructuring; and examination of how action spaces can be exploited and the consequences accompanying this implementation.
Design/methodology/approach
Network dynamics originate from changes in the network interdependencies. This paper is focused on the role of the three dual connections – actors–activities, actors–resources and activities–resources, identified as network vectors. In the framing of the study, these network vectors are combined with managerial action expressed in terms of networking and network outcome. This framework is then used for the analysis of major restructuring of the car industries in the USA and Europe at the end of the 1900s.
Findings
This study shows that the restructuring of the car industry can be explained by modifications in the three network vectors. Managerial action through changes of the vector features generated new action space contributing to the transition of the automotive network. The key to successful exploitation of action space was interaction – with individual business partners, in triadic constellations, as well as on the network level.
Originality/value
This paper presents a new view of network dynamics by relying on the three network vectors. These concepts were developed in the early 1990s. This far, however, they have been used only to a limited extent.
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Predicting effects of artificial intelligence on service occupations can be supported by a long historical perspective. Historical databases and archaeology help reconstructing…
Abstract
Purpose
Predicting effects of artificial intelligence on service occupations can be supported by a long historical perspective. Historical databases and archaeology help reconstructing the service sector in ancient societies. Here, the purpose of this paper is to analyse occupational specialization within services in cities of ancient Greece and the Roman Empire, as well as how the service sector is reflected in architectural remains, to identify differences and similarities with today’s Europe.
Design/methodology/approach
Occupational titles are traced in epigraphical and literary sources, sorted according to ISCO-08. Secondary sources are used for the architectural evidence of service activities, as well as for the role of contests and entertainment in antiquity.
Findings
Compared to current European service employment, professionals were fewer in classical Athens and imperial Rome, which had a greater proportion of specialized salespersons. There were few office buildings and no civic hospitals, but heavy investment in facilities for entertainment and well-being. Quality assessments for goods were little developed; contests for cultural and sports activities assessed entertainment service quality.
Research limitations/implications
This study covers two periods in classical antiquity and is restricted to Mediterranean cultures, although findings may help understanding the service sector in poor countries with informal employment.
Originality/value
While particular services provided in ancient cities have been studied, there has been no broad comparative overview of their service occupations. Services in earlier societies with primitive information and communication technologies can provide clues for current developments.