Towards a Context-Aware Knowledge Model for Smart Service Systems

The advancement of the Internet of things, big data, and mobile computing leads to the need for smart services that enable the context awareness and the adaptability to their changing contexts. Today, designing a smart service system is a complex task due to the lack of an adequate model support in awareness and pervasive environment. In this paper, we present a context-aware knowledge model for smart service systems that organizes the domain and context-aware knowledge into knowledge components based on the three levels of services: Services, Service system and Network of service systems. The context-aware knowledge model for smart service systems integrates all the information and knowledge related to smart services, knowledge components and context awareness that can play a key role for any framework, infrastructure, or applications deploying smart services. To demonstrate the approach, a case study about a chatbot as a smart service for customer support is presented

The manufacturer's value chain as a service - the case of remanufacturing

Manufacturing enterprises globally have already largely adopted the product-service strategy into their operations. However, due to gradual commoditization of services, manufacturing enterprises will have to further extend this strategy. One possibility is for manufacturers to servitize, not only their final products, but also a part of their value chain, with the aim of increasing their long-term competitive advantage. In this article, the application of servitization to remanufacturing, as a set of operational and business competences and processes, is conceptualized. By offering remanufacturing as a service, manufacturers will create an additional revenue stream. The synergies created from integrating remanufacturing into an enterprise with a product-service system are scrutinized. The impact of offering remanufacturing as a service (servitizing) is then assessed from the perspective of the competitive advantage of both, the provider and the consumer of the service. Three main sets of implications are identified. The first is that the integration of remanufacturing into a product-service system could increase customer satisfaction through a larger service scope and higher service quality, while decreasing operational costs. Furthermore, it is shown that the higher the level of servitization, the stronger is the positive impact of remanufacturing. The second set of results shows that servitizing remanufacturing can substantially increase the competitive advantage of both the provider and the consumer. While the first two sets of results have industrially oriented implications, the third set constitutes a theoretical contribution through the proposal and conceptual validation of extension of the application of servitization theory. Finally, while the reasoning is of a conceptual nature, it is based on established theories and includes remanufacturing-related industrial cases as a basis for assessment

Modelling Co-Creation Ecosystem for Public Open Spaces

Co-creation can be defined as the involvement of citizens in the initiation and/or the design process of public services in order to (co)create beneficial outcomes and value for society. Mediated public open spaces are ideal environments for co-creation to emerge due to the involvement of the community and ICT in the knowledge creation. The aims of the research presented in the chapter are two-fold: to conduct a mapping activity in order to collect the insights on civic technologies promoting the creation of open public spaces through the use of ICT and to define the critical dimensions in designing cocreative ecosystems. The mapping strategy was conducted by evaluating the civic technologies in Lithuania and Bulgaria. The insights from the empirical exercise allow to draw managerial and organizational recommendations for strengthening the collective efforts of citizens, IT developers, public and governmental institutions in creating open, inclusive and reflective open public spaces

The open innovation research landscape: established perspectives and emerging themes across different levels of analysis

This paper provides an overview of the main perspectives and themes emerging in research on open innovation (OI). The paper is the result of a collaborative process among several OI scholars – having a common basis in the recurrent Professional Development Workshop on ‘Researching Open Innovation’ at the Annual Meeting of the Academy of Management. In this paper, we present opportunities for future research on OI, organised at different levels of analysis. We discuss some of the contingencies at these different levels, and argue that future research needs to study OI – originally an organisational-level phenomenon – across multiple levels of analysis. While our integrative framework allows comparing, contrasting and integrating various perspectives at different levels of analysis, further theorising will be needed to advance OI research. On this basis, we propose some new research categories as well as questions for future research – particularly those that span across research domains that have so far developed in isolation

Facilitating Organisational Fluidity with Computational Social Matching

Striving to operate in increasingly dynamic environments, organisations can be seen as fluid and communicative entities where traditional boundaries fade away and collaborations emerge ad hoc. To enhance fluidity, we conceptualise computational social matching as a research area investigating how to digitally support the development of mutually suitable compositions of collaborative ties in organisations. In practice, it refers to the use of data analytics and digital methods to identify features of individuals and the structures of existing social networks and to offer automated recommendations for matching actors. In this chapter, we outline an interdisciplinary theoretical space that provides perspectives on how interaction can be practically enhanced by computational social matching, both on the societal and organisational levels. We derive and describe three strategies for professional social matching: social exploration, network theory-based recommendations, and machine learning-based recommendations.Striving to operate in increasingly dynamic environments, organisations can be seen as fluid and communicative entities where traditional boundaries fade away and collaborations emerge ad hoc. To enhance fluidity, we conceptualise computational social matching as a research area investigating how to digitally support the development of mutually suitable compositions of collaborative ties in organisations. In practice, it refers to the use of data analytics and digital methods to identify features of individuals and the structures of existing social networks and to offer automated recommendations for matching actors. In this chapter, we outline an interdisciplinary theoretical space that provides perspectives on how interaction can be practically enhanced by computational social matching, both on the societal and organisational levels. We derive and describe three strategies for professional social matching: social exploration, network theory-based recommendations, and machine learning-based recommendations.Peer reviewe

Proposal, project, practice, pause: developing a framework for evaluating smart domestic product engagement

Smart homes are fast becoming a reality, with smart TVs, smart meters and other such “smart” devices/systems already representing a substantial household presence. These, which we collectively term “smart domestic products” (SDPs), will need to be promoted, adopted, and normalized into daily routines. Despite this, the marketing canon lacks a substantive discourse on pertinent research. We look to help correct this by melding ideas from organizational sociology, innovation diffusion and appropriation studies, and service dominant logic. Consequently, we suggest a framework for research that responds directly to the specific characteristics of SDPs. Using the SDP eco-system as a context, our framework emphasizes the interplay of embeddedness, practice, value and engagement. It comprises a four-stage horizontal/ longitudinal axis we describe as proposal, project, practice and pause. Cross-sectionally we focus on value, and combine aspects of existing thought to suggest how this impacts each stage of our engagement continuum. We subsequently identify perceived personal advantage as the resultant of these two axes and propose this as the key for understanding consumer and SDP sociomaterial engagement. This article also advances a definition of SDPs and ends with an agenda for further research

Exchange hazards, relational reliability, and contracts in China: The contingent role of legal enforceability

Building on institutional and transaction cost economics, this article proposes that legal enforceability increases the use of contract over relational reliability (e.g., beliefs that the other party acts in a non-opportunistic manner) to safeguard market exchanges characterized by non-trivial hazards. The results of 399 buyer-supplier exchanges in China show that: (1) when managers perceive that the legal system can protect their firm's interests, they tend to use explicit contracts rather than relational reliability to safeguard transactions involving risks (i.e., asset specificity, environmental uncertainty, and behavioral uncertainty); and (2) when managers do not perceive the legal system as credible, they are less likely to use contracts, and instead rely on relational reliability to safeguard transactions associated with specialized assets and environmental uncertainty, but not those involving behavioral uncertainty. We further find that legal enforceability does not moderate the effect of relational reliability on contracts, but does weaken the effect of contracts on relational reliability. These results endorse the importance of prior experience (e.g., relational reliability) in supporting the use of explicit contracts, and alternatively suggest that, under conditions of greater legal enforceability, the contract signals less regarding one's intention to be trustworthy but more about the efficacy of sanctions. © 2010 Academy of International Business All rights reserved.postprin

Determinants of job satisfaction: a European comparison of self-employed and paid employees

The job satisfaction of self-employed and paid-employed workers is analyzed using the European Community Household Panel for the EU-15 covering the years 1994-2001. We distinguish between two types of job satisfaction: job satisfaction in terms of type of work and job satisfaction in terms of job security. Findings from our generalized ordered logit regressions indicate that self-employed individuals as compared to paid employees are more likely to be satisfied with their present jobs in terms of type of work and less likely to be satisfied in terms of job security. The findings also provide many insights into the determinants of the two types of job satisfaction for both self-employed and paid-employed workers