QoS Prediction for Smart Service Management and Recommendation based on the Location of Mobile Users

2021 ◽  
Author(s):  
Lei-lei Shi ◽  
Lu Liu ◽  
Liang Jiang ◽  
Rongbo Zhu ◽  
John Panneerselvam
Keyword(s):  
Service Management ◽  
Mobile Users ◽  
Qos Prediction ◽  
Smart Service

Smart Service Lifecycle Management*/Smart Service Lifecycle Management - A framework for manufacturing firms

2016 ◽  
Vol 106 (07-08) ◽  
pp. 477-482
Author(s):  
M. Freitag ◽  
O. Hämmerle
Keyword(s):  
Service Management ◽  
State Of The Art ◽  
Manufacturing Firms ◽  
Use Case ◽  
Manufacturing Companies ◽  
Wird Eine ◽  
Service Engineering ◽  
Smart Service ◽  
Development And Management ◽  
Lifecycle Management

Der Wandel vom produzierenden Unternehmen hin zu einem serviceorientierten Unternehmen beschleunigt sich durch die zunehmende Digitalisierung. Deshalb wird eine methodische sowie technische Unterstützung für ein integriertes Management des Service Lifecycles zunehmend mehr benötigt. Nach Analyse des aktuellen Standes der Forschung im Gebiet Service Engineering präsentiert der Fachbeitrag einen Ansatz für ein Smart Service Lifecycle Management. Es besteht aus den drei Ebenen Geschäftsmodell, Smart Service Management und Netzwerkmanagement. In diesen drei Ebenen finden sich insgesamt 28 Entwicklungsprozessmodule, die sich modular konfigurieren lassen. Darüber hinaus besteht ein Rollenmodell, das die Anwendbarkeit in der Unternehmenspraxis erleichtert. Die Art und Weise der Konfigurierbarkeit wird anhand eines produzierenden Unternehmens aus der Konsumgüterbranche validiert.   Servitization involves all the aspects of the enterprise, which therefore needs methodological and technical support concerning an integrated development and management of services. The requirements of a Service Lifecycle Management were based on expert interviews with service experts from German manufacturing companies. Based on this and the analysis of the state of the art of the Service Engineering, the article presents a framework of a Smart Lifecycle Management. It consists of three following parts: Business Modell Engineering, Smart Service Management and Network Management. The framework has a process modell covering 28 developing modules and a role modell. How to use the framework is validated by a use case.

Introduction to Smart Service Management

2020 ◽  
pp. 3-5
Author(s):  
Maria Maleshkova ◽  
Niklas Kühl ◽  
Philipp Jussen
Keyword(s):  
Service Management ◽  
Smart Service

The Effects of Technology Affinity, Prior Customer Journey Experience, and Brand Familiarity on the Acceptance of Smart Service Innovations

2021 ◽  
Vol 5 (1) ◽  
pp. 36-49
Author(s):  
Stefan Trautwein ◽  
Jörg Lindenmeier ◽  
and Christian Arnold
Keyword(s):  
Indirect Effect ◽  
Service Management ◽  
Research Study ◽  
Service Research ◽  
Future Research ◽  
Customer Journey ◽  
Brand Familiarity ◽  
Smart Service ◽  
Significant Direct Effect ◽  
Adoption Intention

In our study, a model of smart service innovation (SSI) acceptance is delineated. We assume that the effects of the customer journey experience (CJE) and technology affinity (TA) on adoption intention (IN) are mediated by consumers’ attitudes (AT) towards the adoption of SSIs. Furthermore, contingent on the level of brand familiarity (BF), this study hypothesizes a moderated mediation with regard to the ‘CJE = AT = IN’ relationship. The empirical findings are largely in line with the model hypotheses: First, technology affinity affects adoption intention indirectly via attitude towards SSIs. Second, CJE has a significant direct and indirect effect on adoption intention in the cases of average and high brand familiarity. For low brand familiarity, CJE neither has a significant direct effect nor a significant indirect effect on SSI acceptance. Based on the empirical findings, the present paper discusses implications for service management and service research, study limitations and avenues for future research.

Transforming into a platform provider: strategic options for industrial smart service providers

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Daniel Beverungen ◽  
Dennis Kundisch ◽  
Nancy Wünderlich
Keyword(s):  
Service Management ◽  
Service Providers ◽  
Content Type ◽  
Research Perspective ◽  
Brand Building ◽  
Strategic Options ◽  
Smart Service ◽  
Marketing Information ◽  
Conceptual Study ◽  
Research Initiatives

PurposeThe purpose of this paper is to identify strategic options and challenges that arise when an industrial firm moves from providing smart service toward providing a platform.Design/methodology/approachThis conceptual study takes on a multidisciplinary research perspective that integrates concepts, theories and insights from service management and marketing, information systems and platform economics.FindingsThe paper outlines three platform types – smart data platform, smart product platform and matching platform – as strategic options for firms that wish to evolve from smart service providers to platform providers.Research limitations/implicationsInvestigating smart service platforms calls for launching interdisciplinary research initiatives. Promising research avenues are outlined to span boundaries that separate different research disciplines today.Practical implicationsManaging a successful transition from providing smart service toward providing a platform requires making significant investments in IT, platform-related capabilities and skills, as well as implement new approaches toward relationship management and brand-building.Originality/valueThe findings described in this paper are valuable to researchers in multiple disciplines seeking to develop and to justify theory related to platforms in industrial scenarios.

scholarly journals Smart City as a Service System: A Framework to Improve Smart Service Management

2019 ◽  
Vol 12 (01) ◽  
pp. 1-16 ◽  
Author(s):  
Francesco Polese ◽  
Antonio Botti ◽  
Antonella Monda ◽  
Mara Grimaldi
Keyword(s):  
Smart City ◽  
Service Management ◽  
Service System ◽  
System A ◽  
Smart Service

ARCHITECTURE OF THE REPAIR AND MAINTENANCE MANAGEMENT SOFTWARE FOR A SERVICE ENTERPRISE

2020 ◽  
Vol 2020 (4) ◽  
pp. 53-59
Author(s):  
Dmitriy Titarev ◽  
Andrey Serikov ◽  
Sergei Krivtsanov
Keyword(s):  
Asset Management ◽  
Software Package ◽  
Service Management ◽  
Research Work ◽  
Maintenance Management ◽  
Management Software ◽  
Advantages And Disadvantages

The paper provides an overview of the architectures for the repair and maintenance management software package for a service enterprise. As part of the research work, asset management (EAM) and service management (ITSM) methodologies were studied. Three different architectures for the designed software package are proposed, their descriptions, advantages and disadvantages are given.

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