Three Consequences of Considering Innovation as a Collective Process and Knowledge as a Collective Good

2005 ◽  
Vol 04 (01) ◽  
pp. 15-27
Author(s):  
Julien Pénin
Keyword(s):  
Knowledge Management ◽  
Public Good ◽  
Public Policies ◽  
Innovation Process ◽  
Collective Good ◽  
Interactive Process ◽  
Seminal Work ◽  
External Knowledge ◽  
Market Interactions ◽  
Collective Process

Following the seminal work of Arrow (1962) and Nelson (1959) innovation is traditionally viewed as an individual process involving isolated agents connected only through market interactions and the outcome of this process, knowledge, is assumed to share the properties of a public good. Once produced, knowledge is supposed to spill over, i.e., to benefit other agents in the economy instantly. Departing from this approach we adopt here the view that innovation is a collective and interactive process and that knowledge is a collective good, in the sense that it flows only within networks or clubs. This shift of vision helps to improve our understanding of several points dealing with the innovation process. In this paper, we explore three of these points: the absorption of external knowledge, firms' strategies of knowledge management (secrecy versus disclosure) and innovation public policies.

scholarly journals Do entrepreneurial knowledge and innovative attitude overcome “imperfections” in the innovation process? Insights from SMEs in the UK and Italy

2018 ◽  
Vol 22 (8) ◽  
pp. 1637-1654 ◽  
Author(s):  
Antonio Usai ◽  
Veronica Scuotto ◽  
Alan Murray ◽  
Fabio Fiano ◽  
Luca Dezi
Keyword(s):  
Risk Management ◽  
Knowledge Management ◽  
Asymmetric Information ◽  
Innovation Process ◽  
Comparative Case Study ◽  
Management Process ◽  
Content Type ◽  
Entrepreneurial Knowledge ◽  
The Uk

PurposeEntrepreneurial knowledge spurs innovation and, in turn, generates a competitive advantage. This paper aims to explore if entrepreneurial knowledge combined with the attitude to innovate can overcome the key “imperfections” of the innovation process generated by dynamic, current technological progress in the knowledge-intensive sector. The “imperfections” identified in risk management, asymmetric information in the knowledge management process and hold-up problems can all disrupt collaborative partnerships and limit opportunities for innovation.Design/methodology/approachA theory-building approach is applied which offers a case study analysis of two small- to medium-sized enterprises (SMEs). These two SMEs operate in Europe but in two different territories: the UK and Italy. The study explores three key imperfections, risk management, asymmetric information in the knowledge management process and hold-up problems, which occur in the innovation process.FindingsThe entrepreneurs face these imperfections by adopting an open innovation model. Notwithstanding, both entrepreneurs had to deal with all “imperfections”, and their skills, attributes, attitude and aptitude allowed them to grow their business and continually develop new products. Therefore, the imperfections do not limit the innovative capacity of an entrepreneur but rather enhance their challengeable attitude. In this regard, the case studies induce a further analysis on entrepreneurial knowledge intertwined with entrepreneurial risk management and networking skills.Research limitations/implicationsThe empirical significance of the two cases does not allow theorisation. However, this research offers interesting results which can be strengthened by a comparative case study with other countries or deeper investigation by applying a quantitative approach.Originality/valueBy leveraging entrepreneurial knowledge, the imperfections noted in the innovation process can be overcome. Entrepreneurial knowledge is recognised as the main asset of an enterprise if it is combined with external talent or human resources. Entrepreneurs aim to develop innovative approaches and ideas through establishing both formal and informal collaborative partnership relationships which are used thanks to the entrepreneurs’ networking skills, knowledge and abilities.

scholarly journals Responsible innovation among academic spin-offs: how responsible practices help developing absorptive capacity

2015 ◽  
Vol 15 (2) ◽  
pp. 165-179 ◽  
Author(s):  
V.E. Scholten ◽  
P.A. van der Duin
Keyword(s):  
Conceptual Model ◽  
Absorptive Capacity ◽  
Stakeholder Engagement ◽  
Innovation Process ◽  
Responsible Innovation ◽  
Social Responsiveness ◽  
External Knowledge ◽  
Negative Effect ◽  
Sustainability Practices ◽  
Start Ups

Responsible innovation (RI) among technology-based start-ups has received little attention, while these firms are known to operate on the edges of what is socially desirable or ethically acceptable. In this paper we develop a conceptual model that captures the RI practices among 61 academic spin-offs and investigate how it affects the capacity of the firm to absorb external knowledge to better the exploitation of the innovation. The findings indicate that potential absorptive capacity is increased by both stakeholder engagement and social responsiveness, while realized absorptive capacity is moderately increased through social responsiveness. Remarkable is the finding that the extent that sustainability practices resonate in the start-ups operations does have a negative effect on the potential absorptive capacity. These results provide insight in the way in which start-ups adopt a RI philosophy to their innovation process and help to better understand how they learn and acquire external knowledge to increase the acceptance of their innovations. The findings provide clear recommendations for entrepreneurs and policymakers in the field of entrepreneurship and innovation.

scholarly journals Knowledge Management in Modern Democracies and the Issue of Truth

2016 ◽  
Vol 19 (2) ◽  
pp. 6-14
Author(s):  
Panos Eliopoulos
Keyword(s):  
Knowledge Management ◽  
Political Life ◽  
Collective Good ◽  
Moral Qualities ◽  
Concept Of Truth ◽  
Practical Level

This paper explores the issue of knowledge management in modern Democracies, along with the demands posed by the truth problem. While a singular concept of truth can neither be epistemically safe, thus becoming flexible for partial or subjective demonstrations of its authentic or ideal value, nor applicable for every society, it can still take the form of a critical consensus, based on two new principles that are introduced here. The continuity of such a consensus that lies beyond the manipulation of an un-ethical rhetoric or demagogy can safeguard the existence of the Polis, without having to cease espousing typical logic syllogisms as well as the moral qualities that are essential for a meaningful way of social and political life. If not conducive to the collective good, the search for truth remains futile in the practical level of making people’s lives better and of enhancing their common bonds.

scholarly journals Prediction Markets for Crowdsourcing

2018 ◽  
Author(s):  
Christian Horn ◽  
Marcel Bogers ◽  
Alexander Brem*
Keyword(s):  
Stock Market ◽  
Open Innovation ◽  
Innovation Process ◽  
Business Practice ◽  
Prediction Markets ◽  
Knowledge Sources ◽  
Prediction Market ◽  
Online Platform ◽  
External Knowledge ◽  
Opening Up

Crowdsourcing is an increasingly important phenomenon that is fundamentally changing how companies create and capture value. There are still important questions with respect to how crowdsourcing works and can be applied in practice, especially in business practice. In this chapter, we focus on prediction markets as a mechanism and tool to tap into a crowd in the early stages of an innovation process. The act of opening up to external knowledge sources is also in line with the growing interest in open innovation. One example of a prediction market, a virtual stock market, is applied to open innovation through an online platform. We show that use of mechanisms of internal crowdsourcing with prediction markets can outperform use of external crowds.

A Critical Review of Organizing Knowledge Management for Innovation

2022 ◽  
Vol 8 (2) ◽  
pp. 7-15
Author(s):  
Asa Romeo Asa ◽  
Harold Campbell ◽  
Johanna Pangeiko Nautwima
Keyword(s):  
Knowledge Management ◽  
Competitive Advantage ◽  
Diffusion Of Innovation ◽  
Business Intelligence ◽  
Network Dynamics ◽  
Knowledge Networks ◽  
External Knowledge ◽  
Knowledge Processes ◽  
Wide Range ◽  
Integrated Knowledge

This study critically reviews the literature that demonstrates the relevance of knowledge management process and business intelligence, as well as the challenges arising when it comes to organising for innovation in today’s business organisations. Hence, the to attain desired innovation it is important to integrate business intelligence (BI) and knowledge management (KM) for the diffusion of innovation. Hence, importance of integrating business intelligence (BI) and knowledge management (KM) for the diffusion of innovation. Organisations’ innovation dynamics and knowledge processes that lead competitive advantage of organisations are examined. Literature points that many organisations rely on individual employees’ knowledge and skills. As a result, information systems that enable knowledge management (KM) as a critical tool for gaining a competitive advantage (Campbell, 2012). The seminal argument in this study is that knowledge diffusion and knowledge externalities are the main drive of increase in economy. As a result, this is expected to be a win-win value proposition for such organisations integrating business intelligence and knowledge management. However, owing to changing business conditions and the rapidity of technological development, as well as the rising expenses involved with carrying out R&D operations in many of these organisations, maintaining competitive advantage through internal R&D alone is becoming increasingly challenging. The importance of innovation processes and network dynamics in the context of Integrated Knowledge Networks is explored, which provide feasible possibilities for utilising innovation as an interactive process as well as knowledge processes for creating business intelligence in organisations. Due to the challenges of organising for innovation, the organisations figured to rely on “Open innovation” approach to intentionally seek out unique knowledge and information outside of their organisational bounds. This study also discusses the challenges that organisations hurdle on in managing inter-organizational cooperation because of external knowledge sourcing techniques (Campbell, 2009). This is due, in part, to the fact that they span a wide range of organisations, people, and resources, as well as the interactions that exist between them. The creative processes and network dynamics are facilitated by an architecture that blends organisational and technical aspects in Integrated Knowledge Networks. Hence, the study focuses on twofold to sourcing external knowledge in particular: learning from international business environments and corporate venturing strategy for corporate incubators.

Knowledge Assets, E-Networks and Trust

2010 ◽  
pp. 2215-2225
Author(s):  
G. Scott Erickson ◽  
Helen N. Rothberg
Keyword(s):  
Knowledge Management ◽  
Enterprise Systems ◽  
Decision Makers ◽  
Knowledge Development ◽  
Competitive Intelligence ◽  
Knowledge Assets ◽  
Individual Firm ◽  
External Knowledge ◽  
Knowledge Protection

Development of knowledge assets and protection of knowledge assets are both complementary and competing concerns for the contemporary business. Each has specific issues related to trust that need to be understood and addressed before an individual firm launches a knowledge management initiative. Further, with important contemporary trends such as enterprise systems, external knowledge management networks, and aggressive competitive intelligence efforts, decision-makers must increasingly evaluate their circumstances and establish the appropriate levels of trust between individuals and the organization and between cooperating organizations. This chapter reviews and elaborates on such issues. It then passes to a consideration of how these concerns might vary by industry, presenting selected data on knowledge development and knowledge protection conditions in a variety of industries.

Epistemology and Knowledge Management

2011 ◽  
pp. 3031-3039
Author(s):  
Jeremy Aarons
Keyword(s):  
Knowledge Management ◽  
Human Knowledge ◽  
Seminal Work ◽  
Intimate Connection ◽  
Theoretical Account ◽  
The Relationship

This article surveys and explores the relationship between epistemology and knowledge management (KM). Epistemology is the branch of philosophy concerned with the nature and extent of human knowledge (Klein, 1998b). Knowledge management is clearly deeply indebted to many ideas derived from epistemology. Much of the seminal work in KM discusses epistemology in a fair amount of detail, and explicitly appeals to insights from epistemology in developing a theoretical account of KM. In particular, the groundbreaking works by Sveiby (1994, 1997, 2001), Nonaka (1994), and Nonaka and Takeuchi (1995) make explicit appeal to the philosophical insights in epistemology, which has provided the groundwork for much of their pioneering work in knowledge management. One would thus expect there to be a fairly intimate connection between epistemology and knowledge management. The relationship between these two fields, however, is far from straightforward.

External Knowledge Integration

2011 ◽  
pp. 264-273
Author(s):  
Jeroen Kraaijenbrink ◽  
Fons Wijnhoven
Keyword(s):  
Knowledge Management ◽  
Process Model ◽  
Knowledge Integration ◽  
Organizational Processes ◽  
Holistic View ◽  
Academic Field ◽  
External Knowledge ◽  
Three Stages ◽  
The Creation

As an academic field, knowledge management has concentrated on the creation, storage, retrieval, transfer, and application of knowledge within organizations, while underexposing external knowledge (e.g., Alavi & Leidner, 2001). Although the importance of external knowledge is well recognized (e.g., Cohen & Levinthal, 1990), there remains a need for a better understanding of the organizational processes through which external knowledge is integrated (Grant, 1996; Ranft & Lord, 2002). In particular, we believe that a holistic view on knowledge integration (KI) is both important and lacking. In this article, we address this lacuna in the literature by proposing a process model of KI consisting of three stages¾identification, acquisition, and utilization of external knowledge. Our objective is to propose a model consisting of modular subprocesses that parsimoniously reflect the variety of KI concepts in the literature. This model is useful to scholars and practitioners because it provides a better understanding of the various KI subprocesses by putting them together in a coherent way. Such understanding serves as bedrock for solving KI problems and for designing KI solutions (cf. Markus, Majchrzak, & Gasser, 2002).

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