Defining the dimensions of engineering asset procurement: towards an integrated model

Procuring engineering asset management is a critical activity of all types of government, with optimal approaches to procurement still in need of identification. This paper advances a novel approach of exploring the procurement of engineering assets across a number of dimensions: Project rules, organisational interaction rules and complexity. The dimensions of project rules are held to include cost, quality and time. The dimensions of organisational interaction rules are held to be collaboration, competition and control. Complexity is seen as in the project itself, in the interaction between organisations or in the business environment. Taken together these dimensions seem salient for any type of engineering asset, and provide a useful way of conceptualising procurement arrangements of these assets

Knowledge transfer in a tourism destination: the effects of a network structure

Tourism destinations have a necessity to innovate to remain competitive in an increasingly global environment. A pre-requisite for innovation is the understanding of how destinations source, share and use knowledge. This conceptual paper examines the nature of networks and how their analysis can shed light upon the processes of knowledge sharing in destinations as they strive to innovate. The paper conceptualizes destinations as networks of connected organizations, both public and private, each of which can be considered as a destination stakeholder. In network theory they represent the nodes within the system. The paper shows how epidemic diffusion models can act as an analogy for knowledge communication and transfer within a destination network. These models can be combined with other approaches to network analysis to shed light on how destination networks operate, and how they can be optimized with policy intervention to deliver innovative and competitive destinations. The paper closes with a practical tourism example taken from the Italian destination of Elba. Using numerical simulations the case demonstrates how the Elba network can be optimized. Overall this paper demonstrates the considerable utility of network analysis for tourism in delivering destination competitiveness.Comment: 15 pages, 2 figures, 2 tables. Forthcoming in: The Service Industries Journal, vol. 30, n. 8, 2010. Special Issue on: Advances in service network analysis v2: addeded and corrected reference

The Design of Free-Market Economies in a Post-Neoclassical World

The ‘Washington Consensus’ supporting competitive frames and market solutions in economics and law was shown inadequate to address social problems in non-U.S. settings. So would diversity and dynamics suggest theories in need of adjustment to other realities such as culture, increasing returns and market power. Reform must account for an economics of falling cost, ecological limits and complementarity in our relations. Such shall open new applications for economics and law. In this paper a theory of planning horizons is introduced and then employed to raise some meaningful questions about the neoclassical view with respect to its substitution, decreasing returns and independence assumptions. Suppositions of complementarity, increasing returns and interdependence suggest that competition is inefficient by upholding a myopic culture resistant to change. Growth – though long believed to rise from markets and competitive values – may not derive from these sources. Instead, as civilizations advance, shifting from material wants to higher-order intangible output, they evolve from market tradeoffs (substitution and scarcity) into realms of common need (complementarity and abundance). If so, then neoclassical arguments shall no longer apply to any advanced information economy also restrained by its ecology. Indeed, this paper opens standard theory into a more general framework constructing ‘horizon effects’ into a case for cooperation – as more efficient than competition for all long-term problems of growth. The case is made that competition is keeping us stupid and immature, rewarding a myopic culture at the expense of learning and trust, therefore retarding economic growth instead of encouraging it as believed. The policy implications of horizonal theory are explored, with respect to regulatory aims and economic concerns. Such an approach emphasizes strict constraints against entry barriers, ecological harm, market power abuse and ethical lapses. Social cohesion – not competition – is sought as a means to extend horizons and thereby increase efficiency, equity and ecological health. The overriding importance of horizon effects for regulatory assessment dominates other orthodox standards in economics and law. In sum, much of the reason for the failure of the Washington Consensus stems from myopic concerns central to any horizonal view. Reframing economics along horizonal lines suggests some meaningful insight to how regulations should be designed to keep pace with this approach in economics and law

Evolution of Supply Chain Collaboration: Implications for the Role of Knowledge

Increasingly, research across many disciplines has recognized the shortcomings of the traditional “integration prescription” for inter-organizational knowledge management. This research conducts several simulation experiments to study the effects of different rates of product change, different demand environments, and different economies of scale on the level of integration between firms at different levels in the supply chain. The underlying paradigm shifts from a static, steady state view to a dynamic, complex adaptive systems and knowledge-based view of supply chain networks. Several research propositions are presented that use the role of knowledge in the supply chain to provide predictive power for how supply chain collaborations or integration should evolve. Suggestions and implications are suggested for managerial and research purposes

A decision support methodology to enhance the competitiveness of the Turkish automotive industry

This is the post-print (final draft post-refereeing) version of the article. Copyright @ 2013 Elsevier B.V. All rights reserved.Three levels of competitiveness affect the success of business enterprises in a globally competitive environment: the competitiveness of the company, the competitiveness of the industry in which the company operates and the competitiveness of the country where the business is located. This study analyses the competitiveness of the automotive industry in association with the national competitiveness perspective using a methodology based on Bayesian Causal Networks. First, we structure the competitiveness problem of the automotive industry through a synthesis of expert knowledge in the light of the World Economic Forum’s competitiveness indicators. Second, we model the relationships among the variables identified in the problem structuring stage and analyse these relationships using a Bayesian Causal Network. Third, we develop policy suggestions under various scenarios to enhance the national competitive advantages of the automotive industry. We present an analysis of the Turkish automotive industry as a case study. It is possible to generalise the policy suggestions developed for the case of Turkish automotive industry to the automotive industries in other developing countries where country and industry competitiveness levels are similar to those of Turkey