Digitalisation in Health Care and Elderly Care Services

Pekkarinen, Satu; Melkas, Helinä

doi:10.4018/ijissc.2017010102

Cited by 9 publications

(7 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…boundaries between manufacturing and services are blurred (Drejer, 2004). One reason for this is that even technological innovation does not always mean the creation of radically new technology, but instead, technological innovation refers also to more compatible solutions, where social and service innovations are needed (see Pekkarinen and Melkas 2017). Very few firms are producing or working with service robots.…”

Section: Service Robots and Care Robotsmentioning

confidence: 99%

Robotics in Finnish welfare services: dynamics in an emerging innovation ecosystem

Pekkarinen

Tuisku

Hennala

et al. 2019

European Planning Studies

Self Cite

View full text Add to dashboard Cite

This paper considers the dynamics of the emerging care robotics innovation ecosystem in the Finnish welfare services. Innovation ecosystems have both evolutionary nature as well as aspects of purposeful design, and we study the relevant actors, their roles, the accelerators and the barriers, by conducting a survey among relevant stakeholders in the innovation ecosystem. An online survey was conducted with a range of Finnish stakeholders (N=250): service actors (n=148) and research and development actors (n=102). The responses of the two groups were analysed with a pairwise t-test. The results show that a variety of stakeholders are needed in ecosystem. The role of micro-level actors, such as workmates and professional and private robot users, were considered as important. Service actors should also play a stronger role in the ecosystem. In particular, research and development actors seemed to be open to new stakeholders entering the ecosystem and highlighted the importance of collaboration between actors. The culture of piloting in Finland is accelerating the ecosystem, but attitudinal factors, such as fears and resistance to change are hindering its development. The ecosystem is dynamic, and the dynamics in the ecosystem seem to be largely based on social and cultural issues.

show abstract

Section: Service Robots and Care Robotsmentioning

confidence: 99%

Robotics in Finnish welfare services: dynamics in an emerging innovation ecosystem

Pekkarinen

Tuisku

Hennala

et al. 2019

European Planning Studies

Self Cite

View full text Add to dashboard Cite

show abstract

“…(5) When the symbiotic model of the smart elderly care service ecosystem is a parasitic model, the population size of the parasitic resource agent is bigger than that of an independent development, and the size of the other resource agent is smaller than that of an independent development. (6) The strategic choice of resource agent has an important impact on the evolution of the value creation of the smart elderly care service ecosystem. When there is no revenue regulator in the system that can adjust the corresponding revenue distribution rules, the resource agent (in the interest of marketization) will take actions that benefit itself.…”

Section: Discussionmentioning

confidence: 99%

“…In the past five years, with the in-depth application of new-generation information technology and smart hardware products such as artificial intelligence, the Internet of Things, cloud computing, and big data in the field of elderly care services, the smart health and elderly care industry has developed rapidly [5], and multiple resource agents have continuously entered and diversified. A new model of elderly care with specialized operations and refined services has been gradually established [6]. However, the service resources among various elderly service providers such as government, medical institutions, nursing homes, communities, social service organizations, and elderly enterprises are relatively isolated and scattered.…”

Section: Introductionmentioning

confidence: 99%

Symbiosis Evolution Model and Behavior of Multiple Resource Agents in the Smart Elderly Care Service Ecosystem

et al. 2021

View full text Add to dashboard Cite

Population aging has become an important factor restricting China′s social and economic development. The smart health and elderly care industry has developed rapidly in the past five years. However, the service resources among various elderly service providers are relatively isolated and scattered. In other words, the core management problem in the components of the smart elderly care service ecosystem is how to deal with the relationships of interest among multiple resource agents. Thus, the main contribution of this study is to employ symbiosis theory and the logistic growth model to construct a model of the evolution of the symbiosis of multiple resource agents in the smart elderly care service ecosystem. Then, we carry out a stability analysis, and analyze the evolutionary model of two resource agents′ symbiosis under different values of interdependence coefficients. Finally, we use computer simulations to dynamically simulate the model and comparatively analyze the population density of the hospital–nursing home symbiotic relationship using real cases in China. According to the study, we find that the enterprise goal in the smart elderly care service ecosystem should be to maximize the overall value of the multiple resource agents, and the result of the symbiotic evolution between different resource agents depends on the symbiotic interdependence coefficient, while the resource agent uses different strategies under different symbiosis models. Therefore, regulation is needed to ensure the relative fairness of the distribution of value co-creation in the smart elderly care service ecosystem when the resource agent takes actions that benefit itself. Of course, when the ecosystem is in a reciprocal symbiosis model, each resource agent benefits from the activities of the other resource agents, which is ideal in reality; in other words, the best symbiosis model between the two resource agents should be the similar reciprocal symbiosis model.

show abstract

“…It has often been highlighted that technology should not be taken as a substitute for human contacts and care (e.g. Sharkey 2014); nonetheless, it can help ensure a more effective and intensive way of communication (Cesta et al 2016;Pekkarinen et al 2013;Pekkarinen and Melkas 2017).…”

Section: Interaction-based Sense Of Autonomymentioning

confidence: 99%

Could robots strengthen the sense of autonomy of older people residing in assisted living facilities?—A future-oriented study

et al. 2019

Self Cite

View full text Add to dashboard Cite

There is an urge to introduce high technology and robotics in care settings. Assisted living (AL) is the fastest growing form of older adults' long-term care. Resident autonomy has become the watchword for good care. This article sheds light on the potential effects of care robotics on the sense of autonomy of older people in AL. Three aspects of the residents' sense of autonomy are of particular interest: (a) interaction-based sense of autonomy, (b) coping-based sense of autonomy, and (c) potential-based sense of autonomy. Ethnographical data on resident autonomy in an AL facility and existing literature on care robots are utilized in studying what kind of assurances different types of robots would provide to maintain the sense of autonomy in AL. Robots could strengthen the different types of sense of autonomy in multiple ways. Different types of robots could widen the residents' space of daily movements, sustain their capacities, and help them maintain and even create future expectations. Robots may strengthen the sense of autonomy of older persons in AL; however, they may simultaneously pose a threat. Multi-professional discussions are needed on whether robots are welcomed in care, and if they are, how, for whom, and in what areas.

show abstract

Digitalisation in Health Care and Elderly Care Services

Cited by 9 publications

References 38 publications

Robotics in Finnish welfare services: dynamics in an emerging innovation ecosystem

Robotics in Finnish welfare services: dynamics in an emerging innovation ecosystem

Symbiosis Evolution Model and Behavior of Multiple Resource Agents in the Smart Elderly Care Service Ecosystem

Could robots strengthen the sense of autonomy of older people residing in assisted living facilities?—A future-oriented study

Contact Info

Product

Resources

About