Knowledge Creation and Sharing in Organisational Contexts: A Motivation-Based Perspective

This paper develops a motivation-based perspective to explore how organisations resolve the social dilemma of knowledge sharing, and the ways in which different motivational mechanisms interact to foster knowledge sharing and creation in different organisational contexts. The core assumption is that the willingness of organisational members to engage in knowledge sharing can be viewed on a continuum from purely opportunistic behaviour regulated by extrinsic incentives to an apparently altruistic stance fostered by social norms and group identity. The analysis builds on a three-category taxonomy of motivation: adding ‘hedonic’ motivation to the traditional dichotomy of extrinsic and intrinsic motivation. Based on an analysis of empirical case studies in the literature, we argue that the interaction and mix of the three different motivators play a key role in regulating and translating potential into actual behaviour, and they underline the complex dynamics of knowledge sharing and creation in different organisational contexts

What Works at Scale? Distilling the Critical Success Factors for Scaling Up Rural Sanitation

This paper is based on the Knowledge Sharing Forum of the same name. It examines the conditions for success in sanitation programs and strategies that lead to robust implementation in various countries

Gophers: socially oriented pervasive gaming

Gophers is an open-ended gaming environment which relies on location data, user generated content and player interactions to shape gameplay. It seeks to investigate social collaboration within localised and distributed gaming communities, the potential of pervasive gaming as a technique to collect useful data about the physical world and additionally, use of novel peer-judging methods to allow self-governing of the game world. In this paper, we introduce the game in its current state and provide an overview of early test results

Improve the Sustainability of Internet of Things Through Trading-based Value Creation

Internet of Things (IoT) has been widely discussed over the past few years in technology point of view. However, the social aspects of IoT are seldom studied to date. In this paper, we discuss the IoT in social point of view. Specifically, we examine the strategies to increase the adoption of IoT in a sustainable manner. Such discussion is essential in today's context where adoption of IoT solutions by non-technical community is slow. Specially, large number of IoT solutions making their way into the market every day. We propose an trading-based value creation model based on sensing as a service paradigm in order to fuel the adoption of IoT. We discuss the value creation and its impact towards the society especially to households and their occupants. We also present results of two different surveys we conducted in order to examine the potential acceptance of the proposed model among the general public.Comment: arXiv admin note: substantial text overlap with arXiv:1307.819

Innovation and Self-Leadership: The Effects of Self-Leadership Knowledge on the Innovation Landscape

The open innovation landscape of today allows any individual the ability to work, use their creative ideas, and receive external ideas for innovation. Innovators are no longer the chosen few behind closed doors who are at the right level in an organization, at the right place, and at the right time. The open innovation environment requires individuals who are self-leaders with the skills and abilities to lead innovation projects. This study explores how the organizational position of individuals can affect how they feel about innovation and their perception of their innovative abilities. This information can help to guide organizations on where to focus self-leadership awareness and training and to match individuals with high innovator natural tendencies and perceptions with those in an organization that need to build their self-leadership skills for innovation

To share or not to share: Publication and quality assurance of research data outputs. A report commissioned by the Research Information Network

A study on current practices with respect to data creation, use, sharing and publication in eight research disciplines (systems biology, genomics, astronomy, chemical crystallography, rural economy and land use, classics, climate science and social and public health science). The study looked at data creation and care, motivations for sharing data, discovery, access and usability of datasets and quality assurance of data in each discipline