Interactive value formation in interorganizational relationships

2017 ◽  
Vol 17 (4) ◽  
pp. 517-535 ◽  
Author(s):  
Hannu Makkonen ◽  
Rami Olkkonen
Keyword(s):  
Service System ◽  
Interorganizational Relationships ◽  
Service Systems ◽  
Resource Integration ◽  
Relationship Outcome ◽  
Research Stream ◽  
Is Value

The article builds a framework for interactive value formation (IVF) in interorganizational relationships. The framework describes IVF as interplay between resource integration and a multilevel service system, which manifests in interaction episodes accumulating into a relationship. The interplay generates outcomes in which the actors are better off (co-creation), worse off (co-destruction), or indifferent (no-creation) to value gained. The framework is demonstrated in an empirical case of a cultural sponsorship relationship where the co-destructive and no-creative interaction episodes dominated co-creative instances, finally accumulating into a relationship outcome of value no-creation for both parties. The framework and the launched novel conceptualization of value no-creation contribute to the research on service systems, resource integration for value, and failure in value co-creation. The research on failure in value co-creation, that is, value co-destruction, is scant. This article further elaborates this research stream and bridges to the research on co-creation.

Innovation in service ecosystems

2016 ◽  
Vol 27 (4) ◽  
pp. 619-651 ◽  
Author(s):  
Kotaiba Aal ◽  
Laura Di Pietro ◽  
Bo Edvardsson ◽  
Maria Francesca Renzi ◽  
Roberta Guglielmetti Mugion
Keyword(s):  
Design Methodology ◽  
Service System ◽  
Service Innovation ◽  
Service Systems ◽  
Narrative Approach ◽  
Resource Integration ◽  
Content Type ◽  
Service Ecosystems

Purpose – The purpose of this paper is to extend the understanding of innovation in service ecosystems by focussing on the role of values resonance in relation to the integration of brands, service systems and experience rooms. Design/methodology/approach – An empirical, explorative case study of an innovative service system is carried out using a narrative approach and presented in the form of a saga. Findings – Insights gleaned from the empirical study are used for conceptual developments. Analysis of the empirical case study is presented as four lessons linked to values, brands, service systems and experience rooms. Originality/value – The paper extends a conceptual framework of innovative resource integration in service ecosystems. The paper also contributes four propositions to inform theory: values resonance is a basis for service innovation, the innovative integration of brands based on values resonance can foster innovation, the integration of resources across service system boundaries grounded in values resonance can enable innovation and the integration of experience rooms into a coherent servicescape based on values resonance can support novel forms of resource integration and value co-creation efforts in service ecosystems.

Network Management and Service Systems

2015 ◽  
Vol 28 (1) ◽  
pp. 38-56 ◽  
Author(s):  
Rainer Alt ◽  
Clemens Eckert ◽  
Thomas Puschmann
Keyword(s):  
Network Management ◽  
Service Providers ◽  
Service System ◽  
Financial Service ◽  
Service Systems ◽  
Service Science ◽  
Support Network ◽  
Value Chains ◽  
Dynamic Configuration ◽  
Oriented Research

Service science views companies as service system entities that interact with other entities to create value. In today's networked value chains competition is no longer among companies, but among networks that may be regarded as service ecologies. Following service science each entity comprises a dynamic configuration of resources and structures, thus a variety of design aspects needs alignment within these ecologies. To manage service ecologies this article suggests to link insights from network management with service science. A multi-dimensional framework consistently describes the organizational aspects of network management among service system entities as well as the required processes to align activities between service system entities and the possible information systems to support network management. The framework emerged from a design-oriented research project based on eleven interviews with managers from financial service providers in Germany and Switzerland.

The Architecture of Service Systems as the Framework for the Definition of Service Science Scope

2010 ◽  
pp. 560-582
Author(s):  
Andrew Targowski
Keyword(s):  
User Interface ◽  
Service User ◽  
Service System ◽  
Enterprise Systems ◽  
Service Systems ◽  
Service Science ◽  
Systems Architecture ◽  
Level Of Involvement ◽  
Definition Of ◽  
Generic Service

The purpose of this study is to define generic service processes, their system, and a scope of service science developed originally by the author. In the presented approach, the main criterion is the class of serviced users, since this leads to the six kinds of process recognition and eventually helps in planning e-service systems’ architecture. E-service system (e-SS) is defined as a mission-goal-strategy-driven configuration of technology, organizational processes and networks designed to deliver HTservicesTH that satisfy the needs, wants, or aspirations of customers. Marketing, operations, and global environment considerations have significant implications for the design of an e-service system. Four criteria which impact e-service systems’ architecture have been defined as: service business model, customer contact and level of involvement (Service User Interface), service provider’s enterprise complexity (Enterprise Systems and Networks), and scope of goods involved in service. It was proved that the e-service system is the intermediary layer between Service User Interface and Enterprise Systems and Networks. Two examples of e-SS have been modeled.

Service Science

2012 ◽  
Vol 4 (3) ◽  
pp. 51-69 ◽  
Author(s):  
Noel Carroll ◽  
Ita Richardson ◽  
Eoin Whelan
Keyword(s):  
Network Theory ◽  
Service System ◽  
Actor Network Theory ◽  
Service Systems ◽  
Service Science ◽  
Service Networks ◽  
Specific Service ◽  
Technological Factors ◽  
Service Environment ◽  
System Reconfiguration

Service comprise of socio-technical (human and technological) factors which exchange various resources and competencies. Service networks are used to transfer resources and competencies, yet they remain an underexplored and ‘invisible’ infrastructure. Service networks become increasingly complex when technology is implemented to execute specific service processes. This ultimately adds to the complexity of a service environment, making it one of the most difficult environments to examine and manage. In addition, although the emerging paradigm of ‘Service Science’ calls for more theoretical focus on understanding complex service systems, few efforts have surfaced which apply a new theoretical lens on understanding the underlying trajectories of socio-technical dynamics within a service system. This paper presents a literature review on Actor-Network Theory (ANT) and discusses how it may be employed to examine the socio-technical nature of service networks. ANT offers a rich vocabulary to describe the interplay of socio-technical dynamics which influence the service system reconfiguration. Thus, this paper offers a discussion on how ANT may be employed to examine the complexity of service systems and service innovation.

scholarly journals Circular Innovation Framework: Verifying Conceptual to Practical Decisions in Sustainability-Oriented Product-Service System Cases

2019 ◽  
Vol 11 (12) ◽  
pp. 3248 ◽  
Author(s):  
Daniel Guzzo ◽  
Adriana Hofmann Trevisan ◽  
Marcia Echeveste ◽  
Janaina Mascarenhas Hornos Costa
Keyword(s):  
Decision Making ◽  
Content Analysis ◽  
Service System ◽  
Service Systems ◽  
Research Approach ◽  
Coding System ◽  
Product Service System ◽  
Product Service ◽  
Tactical Decisions ◽  
Product Service Systems

Product–service systems (PSSs) have significant sustainability potential. However, limited knowledge is available on the choices to develop circular PSS solutions. The goal of this paper is to provide a circular innovation framework containing circular strategies to facilitate the decision-making in PSS circular innovation. A systematic literature review in combination with content analysis underpinned this research. The strategies were investigated in 45 PSS cases from the literature. A coding system was designed and employed to identify and organize the circular strategies and practices. The statistics techniques employed were frequency and co-occurrence analysis, which aimed to describe the synergies among strategies. The framework proposed contains twenty-one circular strategies. The practical perspective comprises the seventy-seven practices used for the operationalization of strategies. The framework can assist organizations in making strategic to tactical decisions when developing circular PSS solutions. The paper provides a panorama of the strategy applications among the PSS types. Finally, the research approach can be employed to continuously develop an understanding of the application of circular strategies in PSS and other fields.

scholarly journals Customer Service System Design Based on Big Data Machine Learning

2021 ◽  
Vol 2066 (1) ◽  
pp. 012017
Author(s):  
Yuqiang Kong ◽  
Yaoping He
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Customer Service ◽  
Service System ◽  
Rapid Development ◽  
Good Method ◽  
Service Systems ◽  
Labor Costs ◽  
High Turnover ◽  
Online Transactions

Abstract In recent years, with the rapid development of big data, traditional offline transactions have been moved to online in large numbers driven by the Internet. The virtual nature of online transactions has caused it to have problems such as difficulty in guaranteeing product quality and difficulty in user consultation. In addition, consumers are paying more and more attention to the quality of services, and the participation of customer service in the process of online transactions is very important. However, the current e-commerce market in our country is large and the number of online shopping users is extremely large. Customer service personnel are facing great work pressure. In addition, customer service has the characteristics of difficulty in recruiting, high labor costs, and high turnover rate. Such a dilemma is not conducive to our country. The sound development of e-commerce needs to be solved urgently. In order to solve these problems, it is a good method to apply related technologies to realize the automatic response of customer service. The purpose of this article is to design and research a customer service system based on big data machine learning. This article first through the understanding of the basic concepts of big data, and then extend the core technology of big data. Combining with the design ideas and concepts of contemporary customer service systems in our country, we will discuss the design and research of customer service systems based on big data machine learning. Research shows that traditional customer service in the era of big data can no longer meet people’s growing needs, and customer service systems based on big data machine learning are more efficient and convenient.

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