It’s all about Trust and Loyalty: Partner Selection Mechanisms in Tourism Networks

Does expected partner or task related criteria affect how trust and loyalty is developed between tourism firms? This paper poses a model, which is developed on the assumption that well defined partner and task related partner expectations and experienced trust, should build loyalty between tourism firms. The model provides a more precise assessment for scholars, which believes that trust is related to the risk that is associated with personal relationships between two or more firms, and that risk depends on expectations that are derived from personal relationships. The model also integrates the role of experienced trust in transforming different partner selection criteria into loyalty. The contribution of the model is that it provides insights into cooperative relationships by examining the role of trust between small tourism firms when cooperation is established. Data from a sample of 96 tourism firms in the Northern U.S. is used to test the model. The findings provide implications for tourism scholars and policy-makers who are interested in developing managerial strategies that are based on personal relationships

Concept mapping and other formalisms as mindtools for representing knowledge

We seek to provide an alternative theoretical perspective on concept mapping (a formalism for representing structural knowledge) to that provided by Ray McAleese in this issue of ALT-J (auto-monitoring). We begin with an overview of concept maps as a means of describing a learner's knowledge constructs, and then discuss a broader class of tools, Mindtools, of which concept maps are a member. We proceed by defining Mindtools as formalisms for representing knowledge, and further elaborate on concept maps as a formalism for representing a particular kind of knowledge: structural knowledge. We then address McAleese's use of the term auto-monitoring and some of the steps in his model of concept maps. Finally, we describe some limitations of concept mapping as a formalism and as a cognitive learning strategy

Information technology as boundary object for transformational learning

Collaborative work is considered as a way to improve productivity and value generation in construction. However, recent research demonstrates that socio-cognitive factors related to fragmentation of specialized knowledge may hinder team performance. New methods based on theories of practice are emerging in Computer Supported Collaborative Work and organisational learning to break these knowledge boundaries, facilitating knowledge sharing and the generation of new knowledge through transformational learning. According to these theories, objects used in professional practice play a key role in mediating interactions. Rules and methods related to these practices are also embedded in these objects. Therefore changing collaborative patterns demand reconfiguring objects that are at the boundary between specialized practices, namely boundary objects. This research is unique in presenting an IT strategy in which technology is used as a boundary object to facilitate transformational learning in collaborative design work

Managing in conflict: How actors distribute conflict in an industrial network

IMP researchers have examined conflict as a threat to established business relationships and commercial exchanges, drawing on theories and concepts developed in organization studies. We examine cases of conflict in relationships from the oil and gas industry's service sector, focusing on conflicts of interest and resources, and conflict as experienced by actors. Through a comparative case study design, we propose an explanation of how actors manage conflict and manage in conflict given that they tend to value and maintain relationships beyond episodes of exchange. We consider conflicts in relationships from a network perspective, showing that actors experienced these while adapting to changes in their business setting, modifying their roles in that network. By identifying conflict with the organizing forms of relationship and network, we show how actors formulate conflict through pursuing and combining a number of strategies, distributing the conflict across an enlarged network

It’s all about Trust and Loyalty: Partner Selection Mechanisms in Tourism Networks

Does expected partner or task related criteria affect how trust and loyalty is developed between tourism firms? This paper poses a model, which is developed on the assumption that well defined partner and task related partner expectations and experienced trust, should build loyalty between tourism firms. The model provides a more precise assessment for scholars, which believes that trust is related to the risk that is associated with personal relationships between two or more firms, and that risk depends on expectations that are derived from personal relationships. The model also integrates the role of experienced trust in transforming different partner selection criteria into loyalty. The contribution of the model is that it provides insights into cooperative relationships by examining the role of trust between small tourism firms when cooperation is established. Data from a sample of 96 tourism firms in the Northern U.S. is used to test the model. The findings provide implications for tourism scholars and policy-makers who are interested in developing managerial strategies that are based on personal relationships.Loyalty; partner selection; trust; tourism; Experience stratos

EU Integration Mechanisms Affecting Hungarian Public Policies in the Case of Waste Management

The paper reports on a survey taken under the international EU–5 research programme, based on structured interviews made at 32 institutional actors to do with waste management in the Central Hungary region, including public institutions, private or mixed firms, and civil (voluntary) organizations. After presenting some concepts of political science and EU precedents, the authors describe interactive patterns and networks between the local public institutional structures, the private sector and civil organizations in the context of European integration, especially in legal harmonization and under the ISPA programme

Knowledge integration in One Health policy formulation, implementation and evaluation

The One Health concept covers the interrelationship between human, animal and environmental health and requires multistakeholder collaboration across many cultural, disciplinary, institutional and sectoral boundaries. Yet, the implementation of the One Health approach appears hampered by shortcomings in the global framework for health governance. Knowledge integration approaches, at all stages of policy development, could help to address these shortcomings. The identification of key objectives, the resolving of trade-offs and the creation of a common vision and a common direction can be supported by multicriteria analyses. Evidence-based decision-making and transformation of observations into narratives detailing how situations emerge and might unfold in the future can be achieved by systems thinking. Finally, transdisciplinary approaches can be used both to improve the effectiveness of existing systems and to develop novel networks for collective action. To strengthen One Health governance, we propose that knowledge integration becomes a key feature of all stages in the development of related policies. We suggest several ways in which such integration could be promoted

Factors shaping the evolution of electronic documentation systems

The main goal is to prepare the space station technical and managerial structure for likely changes in the creation, capture, transfer, and utilization of knowledge. By anticipating advances, the design of Space Station Project (SSP) information systems can be tailored to facilitate a progression of increasingly sophisticated strategies as the space station evolves. Future generations of advanced information systems will use increases in power to deliver environmentally meaningful, contextually targeted, interconnected data (knowledge). The concept of a Knowledge Base Management System is emerging when the problem is focused on how information systems can perform such a conversion of raw data. Such a system would include traditional management functions for large space databases. Added artificial intelligence features might encompass co-existing knowledge representation schemes; effective control structures for deductive, plausible, and inductive reasoning; means for knowledge acquisition, refinement, and validation; explanation facilities; and dynamic human intervention. The major areas covered include: alternative knowledge representation approaches; advanced user interface capabilities; computer-supported cooperative work; the evolution of information system hardware; standardization, compatibility, and connectivity; and organizational impacts of information intensive environments

From Conflict Resolution to Transformative Peacebuilding: Reflections from Croatia

Ye