Contributing to Sustainable Healthcare Systems with Case Theory

Gummesson, Evert; Sarno, Debora; Carrubbo, Luca; Sirianni, Carlo Alessandro

doi:10.5539/ijbm.v14n2p34

Cited by 4 publications

(6 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, in the healthcare context, there has been an increasing complexity, in terms of governance and decision-making (Gummesson et al, 2019), that forced healthcare decisionmakers to seek new solutions (Badr et al, 2021) and has accelerated the restructuring and digitization process.…”

Section: Introductionmentioning

confidence: 99%

Triggering a patient-driven service innovation to foster the service ecosystem well-being: a case study

Megaro

Carrubbo

Polese

et al. 2022

TQM

Self Cite

View full text Add to dashboard Cite

PurposeThe aim of this paper is to understand if service innovation (Helkkula et al., 2018), based on artificial intelligence (AI) systems, may guarantee healthcare service ecosystem (H-SES) well-being (Frow et al., 2019; Beirão et al., 2017), taking into account that many doubts relieved in terms of transparency may compromise the patients' perceived quality of health services provided through AI systems.Design/methodology/approachA literature review on service innovation, detected in terms of value co-creation, and service ecosystem, investigated in terms of well-being, is drawn. To analyze the implications of service innovation on a H-SES well-being, through the technology acceptance degree and predisposition to use by actors, a case study based on TAM-model 3 determinants as categories is carried out.FindingsAI-based service innovation archetypes in healthcare may be considered as antecedents of the service ecosystem well-being conditions as long as they enable actors to co-create value. To make it possible, a patient-driven service innovation is necessary in order to mitigate the risks of its inactivity due to fears in terms of transparency.Originality/valueService innovation and service ecosystem well-being may be studied in an integrated way, with a multidisciplinary approach, and are linked by value co-creation, because only thanks a patient-driven service innovation is possible to foster service ecosystem well-being in healthcare.

show abstract

Section: Introductionmentioning

confidence: 99%

Triggering a patient-driven service innovation to foster the service ecosystem well-being: a case study

Megaro

Carrubbo

Polese

et al. 2022

TQM

Self Cite

View full text Add to dashboard Cite

show abstract

“…Actor feels involved and 'engaged' in a given relationship and, in some way, expresses its will to be part of it [62]. Once this 'connection' has taken place, it is possible to witness continuous interactions, activated thanks to the harmony between the parties [63].…”

Section: -Contextualization (Human Side) Through Context-driven Techn...mentioning

confidence: 99%

Value co-creation ‘gradients’: enabling human-machine interactions through AI-based DSS

et al. 2022

Self Cite

View full text Add to dashboard Cite

Artificial Intelligence-based Decision Support Systems (AI-based DSS) are becoming increasingly important in many contexts. This work aims to define a type of human-machine interactions for new value co-creation processes' ranks, to help identify factors that can stimulate value co-creation in human-machine interactions. To understand if the outcome of a man-machine interaction can contribute to the co-creation of value, and in what way, the work carried out is epistemological and typological, also based on System Thinking. A matrix of novel gradients of the relationships between humans and non-humans has been created, and the typology of human-machine interactions has been identified for the new degrees of value co-creation processes, as well as the new specific scale of skills, in terms of language, learning, know-how, level of trust and endowment of knowledge, as a whole. The main implications concern the need to customize Decision Support Systems (DSS), to enhance different levels of intensity of relationships, and to identify insights for Decision Making AI - based users.

show abstract

“…As the PdM is an unexplored theme, this study adopts an exploratory approach [10] and employs a case study methodology [59] to present the D.I.A.S.E.I. Project, selected for its uniqueness [9] and to investigate the effects of the introduction of the PdM in terms of sustainability.…”

Section: Case Study Researchmentioning

confidence: 99%

“…A new technology based on the principles of PdM has been developed within a co-financed research and development (R&D) project. This project, entitled 'D.I.A.S.E.I.-Diagnosis of Failures and PdM in Innovative Energy Systems,' was completed in 2020 and involved the present researchers [10]. It has been presented and conducted by the Department of Science and Business-Management and Innovation Systems (DISA-MIS) of Salerno University (UniSA), in collaboration with two private partners (Cosmo Service Ltd. and C.O.M.E.A.…”

Section: Introductionmentioning

confidence: 99%

Predictive Maintenance as a Driver for Corporate Sustainability: Evidence from a Public-Private Co-Financed R&D Project

et al. 2021

Self Cite

View full text Add to dashboard Cite

Can public–private research favor sustainable economic growth? Can innovation in terms of predictive maintenance (a recently consolidated evolution compared to the more traditional final and preventive maintenance) favor sustainable business balance? Drawing on the Quadruple Helix model and adopting the users’ (fourth helix) perspective, this paper seeks to provide initial answers to these two questions. Following an exploratory approach, it applies case study methodology to present the research outcomes of the D.I.A.S.E.I. Project, a co-financed research and development (R&D) project. Using a mixed-methods approach, narrative and quantitative, the study highlights that investing in predictive maintenance allows companies to reach better profitability ratios and sustainable value indexes. This is possible because of the improved quality of the provided services, higher revenues and the reduction of extraordinary maintenance costs. Furthermore, if companies support investment in predictive maintenance through correct financial decisions, they may create value over time and favor sustainable business balance. The work is the first empirical investigation, which should encourage further explorations. There are numerous implications, including reference to the co-creation of value, the effects on decision support systems and sustainable competitive advantage.

show abstract

Contributing to Sustainable Healthcare Systems with Case Theory

Cited by 4 publications

References 43 publications

Triggering a patient-driven service innovation to foster the service ecosystem well-being: a case study

Triggering a patient-driven service innovation to foster the service ecosystem well-being: a case study

Value co-creation ‘gradients’: enabling human-machine interactions through AI-based DSS

Predictive Maintenance as a Driver for Corporate Sustainability: Evidence from a Public-Private Co-Financed R&D Project

Contact Info

Product

Resources

About