Metatheory of network management: A contingency perspective

This paper introduces a metatheoretical, contingency-based framework of inter-organizational network management. We define four basic network management functions and suggest that they are universal to all inter-organizational networks. We argue that management tasks, derived from more general management functions and contingent upon network characteristics, differ according to network type. We further argue that the roles that different actors in a network can adopt depend on their resources and capabilities. The framework contributes to the emerging theory of network management by clarifying the connections between its different conceptualizations and layers. A clear implication of the framework is that it is fundamentally useless to argue that networks cannot be managed. Networks are being managed, all of the time. However, we agree that the extent to which networks can be managed differs from one network to another along with the managerial tasks employed.     

Actors, resources, activities and commitments

A new concept, commitments, is introduced and defined as “agreements between two or more social actors to carry out future actions” and its incorporation into, and articulation of, the actors-resources-activities model described. Commitments are distinguished from the concept of commitment as traditionally used in inter-organisational relationships. The latter is mainly an affective measure at the level of an individual concerning the general relationship between buying and selling organisations. By contrast commitments are agreements made between actors and range from the specific and everyday to the general and strategic.The theoretical background and nature of commitments are described and how commitments relate to and enrich each of the elements of the ARA model demonstrated. The application of the concept to B2B relationships at the level of individual, group, organisational and net actors is set out and implications of the use of the commitments concept for researchers and managers are suggested.     

Dynamics of the UK natural gas industry: System dynamics modelling and long-term energy policy analysis

We present a dynamic model of the indigenous natural gas industry in the UK. The model has been built using a system dynamics approach. Using the model several scenarios have been analyzed. We found that management of the supply-side policy alone cannot substantially postpone the discovery, production and consumption peak. We also found that the dynamics of the main variables, namely, exploration, production and consumption, are sensitive to initial demand conditions. Postponing the onset of gas price increases can therefore be achieved more effectively through efforts to reduce demand growth. One might expect that a low taxation policy would encourage more exploration and production of gas and thereby stimulate higher consumption rates. Instead, there was no overall net effect on production and consumption in the long term. The depletion effect on cost of exploration acts as counterbalance to low taxation policy. Depletion effect causes cost and thus price to rise further which depress consumption rate. The advances in exploration and production technology can delay the peak of exploration, production and consumption. Technological improvements mean lower cost of exploration and production which pressure down the long-term pattern of price dynamics.     

The competition and equilibrium analysis of LCD TV and PDP TV

This study has investigated the dynamic competitive relationship between PDP TVs and LCD TVs by means of their quarterly shipments. The renowned Lotka-Volterra competition diffusion model has been adopted to conduct the empirical analysis with the Lyapunov function to carry out equilibrium and stability analysis, and estimate the domain of attraction which describes the trend and phenomenon of TV shipments. The results illustrate that there is good fitting performance while adopting this model. The competitive relationship can be viewed from the perspective that the LCD TV is the prey while the PDP TV is the predator. The possibility, nevertheless, for dropping the price of LCD TVs is an advantage of the attractiveness of the product which can be noted in higher growth rate than PDP TVs. With respect to the equilibrium stability analysis and estimated domain of attraction, 40- to 49-inch PDP TVs will not disappear from the market, but will generate a stable equilibrium with LCD TVs and sales volume presents simultaneous increase or decrease. In the supply and demand analysis, LCD TVs present a surplus of supply from 2008; therefore, how to conduct appropriate inventory management will be an emerging issue.     

Backcasting for sustainability: Introduction to the special issue

In this introductory paper we introduce the special issue on “Backcasting for Sustainability”. We present briefly a historical background, and position backcasting in the wider context of future studies, in which it can be related to “normative forecasting” and normative scenarios. We reflect on the diversity and variety of backcasting studies and experiments, as presented in the ten papers for this special issue. After summarizing the papers we formulate a future research agenda.     

The coevolution of firms and their knowledge environment: Insights from the pharmaceutical industry

What are the most effective learning strategies for firms given the characteristics of their knowledge environment? This paper addresses this question by documenting the major changes in the knowledge environment of the pharmaceutical industry, with a particular emphasis on the period since the emergence of biotechnology, and discussing the related changes in the learning strategies of established pharmaceutical firms. Both the historical analysis and a review of the empirical research on organizational learning and knowledge transfer reveal a strong emphasis of firms on external learning through interfirm collaborations and sourcing of external knowledge. This learning strategy seems to be driven by the speed, uncertainty, and dispersion of knowledge developments in the industry. Studying the connections between the knowledge environment and the effectiveness of organizational learning processes is important to understand organizational change and adaptation, and is an area of research that deserves further attention.     

How to improve scenario analysis as a strategic management tool?

Scenarios are claimed to support strategic decision makers. They are especially effective in dealing with uncertainties. This paper addresses some drawbacks of the conventional scenario method, which is especially directed at handling these uncertainties, and indicates possible avenues for methodological adaptations. We take the approach, which rests in the Shell tradition, as exemplary for our discussion on the mainstream scenario methodology. This approach has some limitations when it comes to dealing with simultaneous trends and countertrends, and trends or clusters of trends that are not thought of beforehand, especially the methodological requirements of causality and consistency, which might be limiting factors in this respect. This paper indicates alternative ways for scenario construction. It discusses the use of either recombinant scenarios, context scenarios, or inconsistent scenarios and/or combinations of these scenarios. These options explicitly incorporate the notion of ‘paradoxical trend’ as the codriver of future developments into the methodology.     

Ex ante identification of disruptive innovations in the software industry applied to web applications: The case of Microsoft's vs. Google's office applications

This paper analyzes the question whether web applications pose a disruptive threat to incumbents or a disruptive growth opportunity for entrants in the application software industry using a novel method for ex ante identification of disruptive innovations in the software industry. Building on the theory of disruptive innovations, network effects and existing frameworks for the ex ante identification of disruptive innovations a new method of analysis is deduced. The analysis is based on a list of criteria that indicate a disruptive innovation and trajectory maps of the technologies' performance attributes. This method is applied to study the potential disruption of Microsoft's desktop office applications by Google's web-based office applications.The chosen method of analysis indicates a small likelihood for web applications to pose a disruptive threat to Microsoft, and by extension, to incumbents in the software industry. While web applications show a potential to satisfy market demand in established performance attributes, strong network effects in existing software products should give incumbents enough time to co-opt the innovation. The case illustrates how our new method to analyze disruptive potential in the software industry ex ante can help to apply the theory of disruptive innovation better for forecasting purposes and to provide novel strategic insights for the players involved.     

Affinities between multi-agent systems and service-dominant logic: Interactionist implications for business marketing practice

The contrasting marketing principles of service-dominant (S-D) logic and goods-dominant (G-D) logic are examined in this article from the perspective of current research themes in the information science community. The conclusion is reached that much of the distributed multi-agent literature is complementary to the issues being explored concerning S-D logic, and that some multi-agent research may therefore be pertinent to the business marketing community. This article discusses the modelling approach of interactionism as an underlying principle of both S-D logic and multi-agent systems technology. The two domain technologies are compared, and implications for business marketing practice proposed.