Supplier–supplier relationships in buyer–supplier–supplier triads: Implications for supplier performance

A growing number of studies and evidence from industries suggest that, besides managing the relationship with its suppliers, a buyer needs to proactively manage the relationships between those suppliers. In a buyer–supplier–supplier relationship triad, the buyer, as the contracting entity, influences the suppliers’ behaviors and the relationship between them. By considering the relationships in such a triad, we are able to gain a richer and more realistic perspective of buyer–supplier relationships. In this study, our goal is to examine supplier–supplier relationships in buyer–supplier–supplier triads, focusing on how such relationships impact the supplier performance. We frame the supplier–supplier relationship as co-opetition—one in which competing suppliers work together to meet the buyer's requirements. We investigate the role of the buyer on such relationships, and how the buyer and co-opetitive supplier–supplier relationships affect supplier performance. We find mixed empirical support for our hypotheses. However, we are able to demonstrate the dynamics of supplier–supplier co-opetition in the buyer–supplier–supplier triad. We point out the need for further studies in this area.     

How does sales force automation influence relationship quality and performance? The mediating roles of learning and selling behaviors

Sales force automation (SFA) technologies are increasingly used to support customer relationship management strategies. However, previous studies have reported mixed results about the performances of SFA technologies. Therefore, this study seeks to further examine the impact of SFA usage on both customer relationship quality and sales performance. Additionally, the mediating roles of learning and adaptive selling behaviors on the outcomes of SFA usage are investigated. The results highlight the mediating role of salesperson learning and adaptive selling behaviors in the SFA usage and sales performance relationship. Especially noteworthy is the impact of learning through adaptive selling on those outcome variables. Implications for SFA research and practice that may further improve our understanding of this increasingly relevant topic are also offered.     

To integrate with a high- or low-wage country: That is the question

This paper considers the question of whether a country with the intermediate capital–labor ratio is better off forming a free trade area with the higher or lower wage country. Typical analyses of gains from trade ignore the effects of free trade on factor prices. When Europe forms a free trade area with a high-wage economy, the equalized wage rises and rent declines, while the price of the importable declines. Workers unambiguously benefit, but integration has an ambiguous effect on capitalists. However, consumers as a whole benefit from the integration and workers can more than offset the losses of the capitalists. On the other hand, Europe's integration with a low-wage economy raises rent but lowers the wage and the price of the labor-intensive good. Accordingly, capitalists unambiguously benefit, but integration has an ambiguous effect on workers. Again, welfare of all consumers rises and the capitalists can more than offset the losses of workers.     

Probabilistic assignment of objects: Characterizing the serial rule

We study the problem of assigning a set of objects to a set of agents, when each agent receives one object and has strict preferences over the objects. In the absence of monetary transfers, we focus on the probabilistic rules, which take the ordinal preferences as input. We characterize the serial rule, proposed by Bogomolnaia and Moulin (2001) [2]: it is the only rule satisfying sd efficiency, sd no-envy, and bounded invariance. A special representation of feasible assignment matrices by means of consumption processes is the key to the simple and intuitive proof of our main result.     

An SAO‐based text‐mining approach for technology roadmapping using patent information

A technology roadmap (TRM) links technologies with a company's strategic objectives and so supports acquisition of required technologies in advance of needs. It is a powerful tool for strategic planning and technology management. Because technology is changing rapidly and market competition is fierce, the role of a TRM is becoming increasingly important. To support the role of a TRM, many firms and governments that use roadmapping are becoming interested in reducing costs while retaining objectivity during TRM development. One suggestion to achieve these goals is to use the keyword‐based quantitative approach to creating a TRM, but the information provided by the approach is limited because of the characteristics of keyword information. To solve this limitation, this research uses the concept of ‘function’ to support quantitative analysis for developing a TRM. The concept of function can provide information on the uses and purposes of a technology. To represent a function, a subject–action–object structure is commonly used. The suggested approach allows research and development (R&D) managers to extend the views of product and technology during development of a TRM. In addition, by reducing the time required to develop a TRM, the proposed approach supports quick and accurate decision‐making by R&D managers.     

Re-examination of interest rate sensitivity of commercial bank stock returns using a random coefficient model

This article develops and tests a random coefficient two-index model for commercial bank stock returns which controls for the time-varying interest rate sensitivity caused by a bank's changing maturity profile. Using a sample of 51 actively traded commercial banks, the seemingly unrelated regression results provide evidence that commercial bank stock returns are significantly interest rate sensitive. The effect of interest rate changes on bank stock returns is found to be positively related to the maturity mismatch between the bank's assets and liabilities, when the proxy for interest rate changes and the proxy for maturity mismatch are compatible to each other.This article was written while I was a doctoral student at the University of North Carolina at Chapel Hill. It was presented at the 1989 FMA Annual Meeting in Boston.     

Dividend‐Rollover Effect and the Ad Hoc Black‐Scholes Model

One of the most widely used option‐valuation models among practitioners is the ad hoc Black‐Scholes (AHBS) model. The main contribution of this study is methodological. We carefully consider three dividend strategies (No dividend, Implied‐forward dividend, and Actual dividend) for the AHBS model to investigate their effect on pricing errors. We suggest a new dividend strategy, implied‐forward dividend, which incorporates expectational information on dividends embedded in option prices. We demonstrate that our implied‐forward dividend strategy produces more consistent estimates between in‐sample market and model option prices. More importantly our new implied‐forward dividend strategy makes more accurate out‐of‐sample forecasts for one‐day or one‐week ahead prices. Second, we document that both a “Return‐volatility” Smile and a “Return‐pricing Error” Smile exist. From these return characteristics, we make two conclusions: (1) the return dependency of implied volatility is an important explanatory variable and should be controlled to reduce the pricing error of an AHBS model, and (2) it is important for the hedging horizon to be based on return size, that is, the larger the contemporaneous return, the more frequent an option issuer must rebalance the option's hedge. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 32:742‐772, 2012     

The effects of product attributes and service quality of transportation card solutions on service user’s continuance and word-of-mouth intention

Service Business - Product attributes are an inherent quality considered as an essential factor for consumers’ purchasing intention for product. Despite the increase of consumer interest in...