Search results

This paper aims to deepen the understanding of resource integration for value co-creation within service-dominant logic (SDL), by drawing on key knowledge management (KM) concepts.

This conceptual study introduces three key KM concepts, namely, object, agent and context to SDL; thus, deepening the understanding of how resources are becoming when actors are engaged in co-creating value-in-context.

This paper extends understanding of actors’ uses of knowledge in their efforts to co-create value. Paradoxically, SDL takes a phenomenological approach to understanding value co-creation, whereas KM embraces a realist-phenomenological view. Emphasizing knowing rather than knowledge reveals that there is no object without an agent, no agency without context and no knowledge without value-alignment. Thus, the paper contributes to theorizing about resource integration through SDL by identifying the need for effective alignment between relevant objects, capable agents and meaningful contexts for value to emerge. The paper also contributes with four facilitators of object-agent-context alignment: tacit knowledge contextualization, collective sensemaking, shared values among engaged actors and feedback on alignment effectiveness.

It advances current conceptualizations of resource integration and value co-creation in SDL by paying explicit attention to a KM perspective.

The purpose of the study is to investigate how small- and medium-sized enterprises (SMEs) can effectively collaborate for eco-innovation using the business modes of innovation framework to emphasise three types of collaboration: “science, technology, and innovation” (STI), “learning by doing, using, and interacting” (DUI)-Vertical and DUI-Horizontal.

This analysis uses data from 838 SMEs in the Basque Country (2018–2020) to evaluate the effects of the three types of collaboration on eco-innovation. The authors employ a propensity score-based method to address potential bias associated with endogeneity in innovation studies.

The findings suggest that DUI-Vertical collaboration has a positive relationship with the development of product, process and marketing eco-innovation. Furthermore, DUI-horizontal collaboration is the most effective collaboration mode for SMEs, positively impacting their overall eco-innovation portfolio. Finally, STI collaboration is positively associated with product eco-innovation.

Policymakers should support SMEs by designing programmes that facilitate collaboration between competing firms to stimulate eco-innovation, but potential challenges of coopetition must be addressed. Rather than a generic, one-size-fit-all approach, SMEs' managers should identify the most appropriate partners corresponding to their specific eco-innovation goal, ensuring a more effective and targeted. Collaboration between science partners and SMEs should be reinforced by approximating the SMEs' needs more effectively.

This study contributes twofold. Firstly, the authors investigate whether the STI and DUI modes of innovation are determinant factors in the introduction of various types of eco-innovation. Secondly, the authors contribute to the literature on business modes of innovation by differentiating between DUI-Vertical (i.e. suppliers, customers and consultancy) and DUI-Horizontal (i.e. competitors) collaboration, thus highlighting the complexity of DUI collaboration forms.

The purpose of this paper is to identify viable demarcation criteria for knowledge based development (KBD) with reference to current concepts and practices, as an introduction to the JKM 2009 annual special issue on KBD.

Outlines viable demarcation criteria for KBD with reference to current concepts and practices.

A synthetic demarcation based on collective knowledge capital mapping and balancing, together with an analytic demarcation based on three continua: territoriality, discreteness and knowledge‐intensity may help characterize and manage all KBD categories. Such demarcation includes conceptual categories such as models and units of analysis as well as practical categories such as policies, programs, publications and events.

Synthetic demarcation may contribute to clarify the nature of KBD and systematically differentiate research and practice belonging to the field. Analytic demarcation may contribute to develop a systematic taxonomy of conceptual and practical KBD categories.

This paper explores ways in which knowledge management (KM) can enrich and be enriched by practices associated with social‐level knowledge‐based development (KBD), thus bridging both fields. It begins by establishing a continuity between personal‐, organizational‐ and social‐level KM. Social‐level KBD is referred to economic growth theory in search of a complete, consistent, systematic and inclusive framework for global development. Enter capital systems, a KM framework aiming to satisfy those criteria at the organizational level. The capital systems approach, originally developed as a solution to some methodological concerns in intellectual capital valuation, is described as the operationalization of a generic value structure. Such a structure is applied to the analysis of production or value‐enhancing dynamics underlying major economic eras throughout human history until the present day. Structural constraints in current financing for development practices are identified. New knowledge‐based development strategies are explored and, finally, examples of current KBD policies are examined in the light of this analysis and alternative strategies to systematically identify and develop individual, organizational and capital systems are suggested.

To introduce the 2007 annual special issue on knowledge‐based development (KBD), from the perspective of the institutionalization of KBD as a field of study and practice, followed by an outline of the contents.

The approach is a discussion of the issues involved.

The consolidation of KBD and knowledge cities as a distinctive field of R&D, as well as professional practice, becomes apparent when considering structural elements such as affluents, issues, cases, sources, events, organizations and initiatives. This consolidation seems to underlie the progression of contributions through this special issue and prior ones on the same subject.

This special issue may contribute to raise new questions and stimulate further research into knowledge cities, regions and countries.

Inscribed in third generation KM schemes, this paper aims to collect the resulting experience of facilitating an international consultation process on knowledge‐city topics, called the Most Admired Knowledge City (MAKCi) Awards.

The paper draws together the experiences gained through facilitating an international consultation process.

The paper reports on observations of the MAKCi point of convergence within the knowledge‐based development (KBD) community. It recounts the experience of a group of KBD experts who have undertaken a learning journey into knowledge‐generative collaborative research. Linked to a globally based community of practice, the MAKCi exercise clearly fosters a research and learning space through a network of practice (NoP) within the greater global KBD community that is worth exploring from multiple standpoints.

The paper discovers how knowledge‐intensive research work could depend on community links and networks to gain the necessary perspectives and paths to learn and make sense of the changing world. The MAKCi exercise appears a challenging case of networked knowledge‐sharing experience through a connected expertise that brings a group of individuals together to create integrated knowledge, regardless of geographical or time constraints. The second part of the paper concentrates on bringing further understanding as to how learning and knowledge creation is possible through networks, by conveying higher levels of knowledge co‐creation at a global scale, so relevant in knowledge‐based development contexts. The paper advances some applications on how emerging models of knowledge‐intensive networks such as NoPs foster tacit knowledge conversion into explicit scholarly knowledge.

The purpose of this paper is to present results of a four‐year qualitative research project on the dynamics of skill development strategies in e‐learning workplace environments.

A potential knowledge city, Greater Manchester relies on its human (individual and collective) capitals, put to work in knowledge engines such as its universities. Such context has become a complex and uncharted territory for research. Research analysis within knowledge‐based higher education territory clearly demands knowledge‐based tools. Therefore, the research behind this paper has adopted Carrillo's generic system of capitals, an integrative KM3 taxonomy. Such framework has been instrumental in identifying contextual aspects, drivers and rooted strategies of k‐facilitators' adaptation to emergent learning environments.

The grounded model reported here further conceptualised how Mancunian e‐learning practitioners seemingly follow an embedded process of adaptation. Practitioners actually develop strategies to adapting in emerging learning spaces while they adapt to swiftly changing conditions in their workplace environments. The skill developments facilitators undertake seemingly allow them to link and connect to learning spaces, as well as to the existing university social systems and networks of learning. Those systems and networks are integrated to the city's knowledge capitals, and beyond.

By exploring Greater Manchester (UK) universities' e‐learning strategies, this paper contributes to KM theoretical understanding of how facilitators develop their knowledge‐based skills in emergent higher education learning spaces.

This article advances some reflections on learning and knowledge‐sharing strategies within a social learning context in a potential knowledge city (KC).

For this purpose a reflective sense‐making research exercise has been accounted, aiming to take a closer look at the societal tissue configurations in the Greater Manchester city‐region. An unambiguous emphasis on learning conversations is advanced, conveying the underlying KBD assumptions that only shared knowledge amongst knowledge citizens contributes to the city's system of capitals; and that learning is thus collective, constructive and conversational. Following this approach, the article interprets the KC emergence of the Manchester city‐region as a complex collage of interconnected knowledge moments intrinsically linked to collective learning experiences and thus profoundly conversational.

Such an approach has drawn forth implications for the role of knowledge moments in this city's knowledge‐based emerging development as a KC. By bringing dialogues, thoughts and conversations to the research surface, new insights on the theoretical relationships between knowledge, learning and conversations have started to emerge. By giving an account of how knowledge citizens witness, create and foster shared key knowledge moments, this article has sought to comprehend Manchester's knowledge city initiative as a conversing city.

This article advances some reflections on learning and knowledge‐sharing strategies within a social learning context in a potential knowledge city.

The purpose of the paper is to introduce the 2008 annual special issue on knowledge‐based development (KBD), from the perspective of the construction of an R&D agenda relevant to the international community of knowledge‐based development (KBD) practitioners and researchers.

The papers in the special issue are introduced and discussed.

A number of preliminary exercises around the world show a trend towards building a common KBD research and innovation agenda able to diversify into specialized topics such as urbanism, economics and geography, while maintaining a distinctive set of core issues.

This paper introduces a volume that may contribute to raise new questions and stimulate further research into the potential of knowledge as a leverage to the social and economic development of cities, regions and countries.

The concept of knowledge cities (KCs) offers advantages to any urban region. Many cities globally claim themselves as being already KCs, while other cities have elaborated strategic plans in order to integrate this concept into their operational structures. The examination of their approaches reveals however that these initiatives are fragmented. The purpose of this paper is to present a multi‐dimensional and integrated decision support model for a KC's strategy formulation.

Reference is made to a methodological approach (KnowCis) for the integrated development of a KC, consisting of five main phases and taking into account nine different dimensions. The strategy formulation phase is a particularly complex procedure for any authority (e.g. local government or city's development agency). The reasons for this complexity are related to the amplitude of the KC concept, to the variety of the factors to be considered as well as to the challenge for balancing the needs and interests of different target groups.

The proposed model consists of the following building blocks: identification of the appropriate actions (based on the KnowCis methodology), modeling of the city's current status as a KC (via the development of related indicators), assessment of actions' necessity (based on the indicators' outcomes and through the benchmarking of other successful KCs cases), selection of the most appropriate form for each proposed action (based on their efficiency during the last reference period) and, finally, prioritisation of the proposed actions (based on a multi‐criteria approach).

The main suggestion for future research is the development of an intelligent information system which will incorporate the building blocks of the proposed model.

The originality and value of the paper is that the proposed model can be a really helpful decision support tool for any city which is developing a knowledge‐based strategy.