The role of intellectual capital in the success of new ventures

Identifying the factors that contribute to the success of new ventures is a difficult and challenging task. In that respect, this paper proposes an analysis of the intellectual capital within new business ventures. Based on the study of a sample of 130 new companies, for the purpose of this work we have analysed the influence of the proposed intangible assets on the success of newly-created organizations, acknowledging the key role of the human and relational capital in the first few years of the life of the business.     

The Impact of Relational Capital on the Success of New Business Start‐Ups

This study seeks to highlight the key role played by relational capital in new business start‐ups. Following a review of previous research examining the success factors of new ventures and the role played by intellectual capital, our study sets out to achieve this objective by analyzing the impact of a set of intangible relational assets on the initial success of new business start‐ups. Based on a study of 130 firms, we analyzed six hypotheses regarding the possible positive relationship between the relational capital of a start‐up company and its success in its first few years of business.     

Effects of Supplier and Customer Integration on Product Innovation and Performance: Empirical Evidence in Hong Kong Manufacturers

While the beneficial impacts of supplier and customer integration are generally acknowledged, very few empirical research studies have examined how an organization can achieve better product performance through product innovation enhanced by such integration. This paper thus examines the impact of key supplier and customer integration processes (i.e., information sharing and product codevelopment with supplier and customer, respectively) on product innovation as well as their impact on product performance. It contributes to existing literature by asking how such integration activities affect product innovation and performance in both direct and indirect ways. After surveying 251 manufacturers in Hong Kong, this study tested the relationships among information sharing, product codevelopment, product innovativeness, and performance with three control variables (i.e., company size, type of industry, and market certainty). Structural equation modeling with correlation and t‐tests was used to test the hypothesized research model. The findings indicate a direct, positive relationship between supplier and customer integration and product performance. In particular, this study verifies that sharing information with suppliers and product codevelopment with customers directly improves product performance. In addition, this study empirically examines the indirect effects of supplier and customer integration processes on product performance, mediated by innovation. This has seldom been attempted in previous research. The empirical findings show that product codevelopment with suppliers improves performance, mediated by innovation. However, the sampled firms cannot improve their product innovation by sharing information with their current customers and suppliers as well as codeveloping new products with the customers. If the adoption of supplier and customer integration is not cost free, the findings of this study may suggest firms work on particular supplier and customer integration processes (i.e., product codevelopment with suppliers) to improve their product innovation. The study also suggests that companies codevelop new products only with new customers and lead users instead of current ones for product innovation. For managers, this study has demonstrated that both information sharing and product codevelopment affect performance directly and indirectly. Managers should put more emphasis on these key processes, especially when linked with product innovation. Managers should consider involving their suppliers and customers in the early stages of design. Information sharing with suppliers is also important in product development. As suggested by this study, extensive effort on supplier and customer integration should be made to directly augment current product performance and product innovation at the same time.     

On Forward Induction and Evolutionary and Strategic Stability

We analyze which normal form solution concepts capture the notion of forward induction, as defined by E. van Damme (1989, J. Econ. Theory48, 476-496) in the class of generic two player normal form games preceded by an outside option. We find that none of the known strategic stability concepts (including Mertens stable sets and hyperstable sets) capture this form of forward induction. On the other hand, we show that the evolutionary concept of EES set (J. Swinkels, 1992, J. Econ. Theory57, 306-332) is always consistent with forward induction. Journal of Economic Literature Classification Number: C72.     

Optimal information revelation in procurement schemes

A buyer procuring a single input possesses private information about each potential supplier's degree of fit with the buyer's needs. She can search among suppliers either sequentially or simultaneously. As long as the distribution of the fit parameter is not overly skewed to the left, sharing information with suppliers yields intensified price competition under simultaneous search. Moreover, the buyer cannot benefit by providing suppliers additional information beyond their own fitness parameter. Information revelation is never optimal with sequential search.     

Teamwork skill assessment: Development of a measure for academia

Popular teamwork assessments have been strongly criticized on the grounds of poor psychometric properties and their disconnect with conceptual models of teamwork. These issues raise concerns with respect to our ability to evaluate efforts devoted to advancing teamwork in academia. We report the development of a teamwork assessment that builds on empirically supported conceptualizations of team processes. Two studies were conducted to test and to cross-validate the psychometrics of the resulting measure. In the discussion section, we address the implications of our findings for conceptual models of teamwork and provide guidelines for using the measure in business education.     

Pricing a Heterogeneous Portfolio Based on a Demand Function

Abstract

Consider a portfolio containing number of risk classes. Each class has its own demand function, which determines the number of insureds in this class as a function of the premium. The insurer determines the premiums based on the number of insureds in each class. The “market” reacts by updating the number of the policyholders, then the insurer updates the premium, and so on. We show that this process has an equilibrium point, and then we characterize this point.     

Pricing Practices of Resellers in the Airline Industry: Posted Price vs. Name‐Your‐Own‐Price Models

I find that when a reseller with market power serves an airline company and only linear contracts are feasible, the airline prefers that the reseller utilizes the Name‐Your‐Own‐Price (NYOP) (a la Priceline) instead of the Posted Price (PP) (a la Hotwire) model. Essentially, the airline can better extract the surplus of the reseller if power over pricing is in the hands of numerous consumers, each bidding according to her preferences, instead of being concentrated in the hands of the reseller. Introducing two part tariff contracts or competition among resellers eliminates the distinction between the two pricing models. Either form of pricing generates the same outcome as vertical integration of the airline with the downstream market of resellers.