The Effects of Competition in Short Product Life‐Cycle Markets: The Case of Motion Pictures*

It is critically important to understand the relationship between new product launch strategies and their interaction with the competitive environment, which results in the successful introduction of new products. Deciding when to launch new products is among the most significant issues facing managers when formulating new products strategy, especially for products with short product life cycles. However, little extant research has focused on the interaction of product launch timing and the competitive market environment. This study explores the effects of four types of competitive threats on the market performance of short product life‐cycle products. Threats from new products and incumbents are possible. Also, products in the same category and those in related product categories exert competitive pressures. In this paper, a framework of competitive threats is developed, and research questions are constructed and empirically tested using the motion pictures industry as the focus of this research. A set of simultaneous equations was estimated using a sample of 2,948 movies introduced in the U.S. market between 1997 and 2004. The results show that all competition types have negative direct, indirect (as mediated by distribution intensity), and total effects on the performance of a new product. For a focal product, incumbent products exert a greater negative impact on performance than new entrants. Surprisingly, products in different, but related, categories are more harmful to the performance of products than products in the same category. The results have important implications for launch timing and new product performance.     

Success Determinants when Tendering for International Consulting Projects

A unique database on individual proposals is used to analyse competition among consulting firms (CFs) for international projects. CFs, which sell services based on human capital, focus on developing countries when operating abroad and, thereby, are highly dependent on development agencies (DAs). The DAs have strict tender rules and claim that skill and experience are the most important factors when proposals are evaluated. Both economic theory and the results of the estimations suggest, however, that long-term relationships (LTRs) between the CFs and the clients are at least as important as traditional skill and experience factors. The LTRs are here measured by means of information about whether the CF has previously worked for the client (repeat purchases) or has visited the client. The results indicate that the client in some cases has pre-decided which CF to select. The client invites several CFs to compete for the tender anyway, either because he is forced to do so by the financier, or because he wants to subject an old supplier to competitive pressure. As the tender rules do not seem to be followed, a policy implication would be that the DAs can skip, or at least relax, their strict tender rules, or strengthen the sanctions associated with violations of the rules.     

Uniform and Non-Uniform Second-Best Input Taxes

We investigate second-best, input-based taxes foragricultural nonpoint pollution control when marketprices are endogenous and production isheterogeneous. Theoretically, we derive the optimalforms of taxes which take account of heterogeneity(non-uniform taxes) and a tax which does not (auniform tax). Empirically, we use a multi-factor,market-equilibrium simulation model to determineoptimal tax rates and associated equity effects,particularly differences in landowner gains/lossesacross a heterogeneous region. When market prices areendogenous, second-best tax policies result inpecuniary externalities that affect existingenvironmental externalities. In particular, thepecuniary externalities amplify the effect of producerheterogeneity on determination of sub-regionaldifferences in tax rates and returns to land,particularly for the uniform policy. With endogenousprices, the uniform tax rate is considerably higherthan any of the non-uniform rates and, ironically, thenon-uniform taxes result in less dispersion oflandowner gains across sub-regions than the uniformtax.     

The Effects of Market Network Heterogeneity on Innovation Diffusion: An Agent‐Based Modeling Approach

Innovations usually have an initial impact on very few people. The period of learning or early evaluation precedes the diffusion of the technology into the wider addressed population. More than a transfer, this is best characterized as communication of benefits, costs, and compatibility with earlier technologies and a relative assessment of the new state of the art. Innovation development by an organization or individual creates not just a device (i.e., process or tacit knowledge) but concomitantly a capacity on the part of other organizations or persons to use, adopt, replicate, enhance, or modify the technology, skills, or knowledge for their own purposes. How innovations actually diffuse is to understand the communication of progress, and this framing helps one to design innovations and also design the marketing and testing programs to ready innovations for market and launch them efficiently. Diffusion theory's main focus is on the flow of information within a social system, such as via mass media and word‐of‐mouth communications. This theory presents often in the form of mathematical models of innovation and imitation. Distinct from classical diffusion models, however, consumers are not all identical in how they connect to others within a market or how they respond to information. We examine the effects of various network structures and relational heterogeneity on innovation diffusion within market networks. Specifically, network topology (the structure of how individuals in the market are connected) and the strength of communication links between innovator and follower market segments (a form of relational heterogeneity) are studied. Several research questions concerning network heterogeneity are addressed with an agent‐based modeling approach. The present study's findings are based on simulation results that show important effects of network structure on the diffusion process. The ability to speed diffusion varies significantly according to within‐ and cross‐segment communications within a heterogeneous network structure. The implications of the present approach for new product diffusion are discussed, and future research directions are suggested that may add useful insights into the complex social networks inherent to diffusion. A simple summary is that discovery of significant prime communicator nodes in a network allows innovation development practices to be better calibrated to realistically multiple market segments.     

Culture,consumption and choice: towards a conceptual relationship

Abstract Manufacturers and retailers are continually extending the geographical scope of their activities, and the degree of acceptance by local consumer cultures is integral to the success or failure of their operations. It is, therefore, important that cultural influences on consumption behaviour are fully conceptualized and understood. Central to this understanding is a need to address how consumers prioritize their own principles and set them against other criteria, bringing these to bear in the process of choosing particular products. This paper attempts to address the paucity of research in this respect by attempting to integrate areas of literature on culture, consumption and product choice. These relationships are explored through a simple conceptual framework, which is then used to discuss the influence of culture on one particular type of behaviour —‘ethical consumption’— the degree to which consumers prioritize their own ethical concerns when making product choices. The paper concludes by highlighting the general implications of the framework for research.     

Design-Based Properties of Linear Calibrated Estimators of a Finite Population Total

We extend Godambe's famous nonexistence theorem to classes of linear calibrated estimators. We also propose a new method for comparing sampling strategies in the design‐based framework without recourse to simulation.