Dutch accounting in Japan 1609-1850: isolation or observation?

The trading station or factory maintained by the Dutch East India Company (VOC) was Japan's sole window on the Western world during most of the Tokugawa period (1600-1868). While many aspects of the factory's role in Dutch/Japanese cultural exchange have been researched little is known in the West of the accounting at the factory. This paper considers the possibility that double-entry bookkeeping employed by the Dutch may have been diffused to the Japanese. The available evidence is synthesized after considering the accounting system in the Dutch factory.     

Information reduction via level crossings in a credit risk model

This paper provides an alternative credit risk model based on information reduction where the market only observes the firm’s asset value when it crosses certain levels, interpreted as changes significant enough for the firm’s management to make a public announcement. For a class of diffusion processes we are able to provide explicit expressions for the firm’s default intensity process and its zero-coupon bond prices.      

Expectations,network effects and timing of technology adoption: some empirical evidence from a sample of SMEs in Italy

We provide evidence on the influence of expectations and network effects on the timing of technological adoption. By considering a sample of SMEs operating in Italy, we focus on the determinants of their decision to adopt Fast Ethernet, a communication standard for Local Area Networks (LANs). We find that both expectations and network effects significantly affect the timing of adoption. In particular, price expectations generally tend to delay adoption and (indirect) network effects in the form of backward compatibility as well as informational spillovers tend to foster adoption. Firm size also matters.

Lead users and the adoption and diffusion of new products: Insights from two extreme sports communities

Lead users are proposed as a valuable resource for marketers in terms of the (1) development, (2) adoption, and (3) diffusion of new products. We present the first consumer study to provide evidence that the latter two suggestions are justified. First, we find that lead users demonstrate stronger domain-specific innovativeness than more “ordinary” users. Second, lead users perceive new technologies as less “complex” and might therefore be better prepared to adopt them. Third, we find that lead users demonstrate stronger opinion leadership and weaker opinion seeking tendencies. Finally, we discuss the implications of our findings for the marketing of new products.     

Using diffusion models to forecast market size in emerging markets with applications to the Chinese car market

Marketing managers have to forecast the market size and this forecast guides strategic decisions whether to continue exporting, open new factories or expand existing production operations. Forecasting sales and the market size is a challenging task; even more so in emerging markets where data is limited and the market demand is changeable. This research proposes a novel approach that applies diffusion models using car ownership data to forecast car sales. Car ownership data may be easier to access than sales data in emerging markets but marketing managers are more interested in the sales forecast. Researchers propose using diffusion models to forecast the adoption of new products or products which are new to consumers in a market. This research demonstrates that marketing managers can use diffusion models to predict car sales in China where cars are new products to most consumers in this market. Since the majority of car buyers in China are first time buyers, car manufacturers and retailers must also forecast when the market composition will change. This effectively means predicting when first time car buying will start to slow down and repeat/replacement purchase or second hand car purchase will become more important. To forecast both sales and market composition change, marketing managers must choose a robust model. Managers want insights from models that have been tested robustly especially in less stable market conditions. In this context, this study illustrates the value of using a rolling forecast instead of a fixed horizon approach when comparing and choosing which model to use to forecast both sales and market composition change for the Chinese car market.     

New product adoption in social networks: Why direction matters

Marketing managers and researchers generally agree that analyzing data from social networks and using them to influence consumers' purchase decisions are useful strategies. However, not all social network data may identify the most influential customers. This empirical study of more than 300 students reveals the low explanatory power of friendship networks (e.g., Facebook) and undirected-advice networks (e.g., LinkedIn). Only directed-advice networks (e.g., Google +) clearly identify influential consumers. In addition, the results challenge conventional wisdom that firms should target advisers assuming that they have the strongest influence on new product adoption. This study contradicts this common assumption and reveals that structural equivalence drives product adoption more than cohesion because advisees' adoption pressures advisers to purchase the product as well. Finally, the study shows the value of social network data beyond the traditional ego-centric psychographic metrics, such as innovativeness or opinion leadership.     

Semiparametric diffusion estimation and application to a stock market index

The analysis of diffusion processes in financial models is crucially dependent on the form of the drift and diffusion coefficient functions. A new model for a stock market index process is proposed in which the index is decomposed into an average growth process and an ergodic diffusion. The ergodic diffusion part of the model is not directly observable. A methodology is developed for estimating and testing the coefficient functions of this unobserved diffusion process. The estimation is based on the observations of the index process and uses semiparametric and non-parametric techniques. The testing is performed via the wild bootstrap resampling technique. The method is illustrated on S&P 500 index data.     

空间双寡头竞争下的创新扩散——基于博弈论的模型

关于创新空间扩散的研究一直没有关注空间竞争对于创新采纳的影响.本文在双人博弈的框架下构建了一个空间双寡头竞争模型,假定厂商已经拥有关于创新的信息,单纯地考察空间竞争对于创新采纳的影响.结果表明,即使同质的厂商同时获得了创新的信息,在竞争的作用下,创新的采纳很少会同时进行.先采纳者具有先发优势,且随着运费率的下降,先发优势愈发得以强化.本文还分析了空间竞争和技术扩散反梯度现象间的关系,结论是空间竞争至少是反梯度现象产生的一个原因.     

Enterprises,incentives and networks: The formative years of the electrical network in Portugal, 1920–1947

Path-dependence, the formation of technological irreversibilities and ownership patterns, have recently been salient aspects in the study of historical networks. This article analyses the formative years of public utilities in a period where the advantages of co-ordination, interconnection or integration between enterprises was still incipient. The purpose is to understand what happens when the competition to expand the physical extensions of nodes and links is suddenly blocked, and the enterprises can only compete to increase supply. The theme is thus of network enterprises operating without some of the standard incentives to economies of scale. The allocational and distributional consequences of this particular situation are exposed through an examination of the case study of Portuguese electrification in the first half of the twentieth century.