Digital information flows across a B2C/C2C continuum and technological innovations in service ecosystems: A service-dominant logic perspective

2020 ◽  
Vol 121 ◽  
pp. 724-734 ◽  
Author(s):  
James W. Peltier ◽  
Andrew J. Dahl ◽  
Eric L. Swan
2020 ◽  
Vol 12 (13) ◽  
pp. 5263 ◽  
Author(s):  
Antonio Botti ◽  
Antonella Monda

This paper aims to develop a theoretical framework based on recent service theories, such as service-dominant logic and service science, and on the concept of service ecosystems. The identification of the main elements of service ecosystems allows for pinpointing the main drivers for sustainable value co-creation, which is intended as the creation in the long run of new service solutions set up with and for end-users to guarantee a better service for the whole society. Given the high interactivity required in the relationship between players involved in digital health services, we decided to apply the developed framework to eHealth, to re-read the eHealth sector as a service ecosystem. The model is tested through a case study represented by digital healthcare in the Autonomous Province of Trento, which represents a best practice in this sector. The results confirm the presence of the main elements of the service ecosystem (actors, resource integration, technology, institutions) in the eHealth sector and show how their integration favours the creation of new resources, new uses of technology and new institutions that produce innovation and sustainable value co-creation. The originality of the work lies in the reconceptualization of the digital health sector from a new perspective based on the assumptions of service-dominant logic, that allow us to analyze the eHealth ecosystem in a holistic and system view.


Author(s):  
Nila Armelia Windasari ◽  
Fu-ren Lin

This article conceptualizes open innovation using service system view and service-dominant logic (S-DL) to specify the generic characteristics of open innovation of service, which eliminates the discrepancy of open innovation between product and service. The main objective is to explicate the tripartite framework proposed by Lusch and Nambisan into six generic characteristics to serve as vocabulary in formulating open innovation of service strategies. The business cases are categorized by 2x2 grid according to the institutionalization of actors into the service ecosystems. There are six essential characteristics of open innovation of service grounded in S-D logic: (1) interaction within and among service systems, (2) integration of operand and operant resources, (3) open platform, (4) exchange mechanism, (5) value proposition, and (6) network of actors. To summarize, the strategies are formulated using the six characteristics for each category of business in three layers, micro, meso, macro, to sustain the practice of open innovation in various industries.


2018 ◽  
Vol 29 (4) ◽  
pp. 569-592 ◽  
Author(s):  
Suvi Nenonen ◽  
Johanna Gummerus ◽  
Alexey Sklyar

PurposeService-dominant logic acknowledges that actors can influence how service ecosystems evolve through institutional work, but empirical research is only nascent. This paper advances understanding of ecosystem change by proposing that dynamic capabilities are a special type of operant resources enabling actors to conduct institutional work. Consequently, the purpose of this paper is to explore which dynamic capabilities are associated with proactively influencing service ecosystems.Design/methodology/approachDrawing on service-dominant logic, institutional work and dynamic capabilities, this exploratory study assumes an actor-centric perspective and proposes a conceptual model with a hierarchy of dynamic capabilities as the antecedents for successfully influencing service ecosystems. The research model was tested with survey data using partial least squares structural equation modeling.FindingsAmong the dynamic capabilities studied, “visioning” and “influencing explicit institutions” directly affect “success in influencing service ecosystems,” whereas “timing” does so indirectly through “influencing explicit institutions.” The other dynamic capabilities studied have no significant effect on “success in influencing service ecosystems.” “Success in influencing service ecosystems” positively affects the “increased service ecosystem size and efficiency.”Practical implicationsIn addition to reactively positioning and competing at the marketplace, firms can choose to proactively influence their service ecosystems’ size and efficiency. Firms aiming to influence service ecosystems should particularly develop dynamic capabilities related to visioning, timing and influencing explicit institutions.Originality/valueThis research is the first service-dominant logic investigation of the linkage between the actors’ dynamic capabilities and their ability to influence service ecosystems.


MIS Quarterly ◽  
2015 ◽  
Vol 39 (1) ◽  
pp. 155-175 ◽  
Author(s):  
Robert F. Lusch ◽  
◽  
Satish Nambisan ◽  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Corinne Rochette ◽  
Anne Sophie Michallet ◽  
Stéphanie Malartre-Sapienza ◽  
Sophie Rodier

Abstract Background The French healthcare system is characterised by a shift towards outpatient care and the desire to develop telemedicine affirmed in the collective commitment “Ma santé 2022” presented by President Macron in 2018. In France, remote patient follow up has recently been developed in the active phase of cancer treatment inspired by the patient navigation approach used in other countries. According to Service-Dominant Logic (S-D L), patients become more active. Their role in co-production of services is strengthened and their behaviours changed. Telephone follow-ups can contribute to modifying the relationship between the patient and the nurse navigators in charge of it, moving logically from a passive attitude from the patient to a more active one. Methods This study was carried out at Léon Bérard, a cancer control unit, in France. It concerned patients treated in an oncohaematology department, who benefited from telephone follow-ups carried out by nurse specialists during the active phase of their treatment. The multidisciplinary research team including social science researchers, physicians and carers developed a research protocol to study this pilot case. Essentially based on a qualitative approach, it was validated by the centre’s management to study this follow-up on patients’ behaviours. The 1st phase of the research, based on 24 semi-structured interviews with patients undergoing treatment undertaken from November 2018 to September 2019, is presented. Results The Telephone follow-up was a positive experience for all patients. The action of the nurse specialist helped to develop certain dimensions of in-role and extra-role behaviour that created value. The patients’ discourse has reported a positive follow-up in its clinical dimensions, its psychological dimensions and an enhanced quality of life. We detected a patient activation through their roles but it remained limited. The telephone follow-up also created a patient dependency. Conclusions The telephone follow-up is a relevant tool for patients undergoing treatment and it deserves to be more widely deployed. It brings comfort and creates a relationship based on trust but at the same time it limits the emancipation of the patient, which is a central element of the S-D logic and its empowerment.


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