How to approach business model innovation: the role of opportunities in times of (no) exogenous change

Firms need to show dynamic adaptability and innovate their business models to achieve survival and growth, in particular when they are exposed to high levels of exogenous change. However, business model innovation also takes place in the absence of exogenous change. We know relatively little about firms’ approaches to opportunities for business model innovation in both of these environmental settings. The objective of this study is to understand how firms exposed to various environmental conditions explore and exploit business model innovation opportunities. In a qualitative multiple case analysis, the study compares the approaches to business model innovation used by four firms exposed to high levels of exogenous change with those of four firms operating in the absence of exogenous change. The findings are contrasted with entrepreneurial opportunity discovery and creation theories. The results reveal that firms exposed to high levels of exogenous change focus on discovering objective opportunities, whereas firms operating in the absence of exogenous change concentrate on creating opportunities for business model innovation. However, this study revealed that when the firms further explore and exploit these opportunities, they tend to combine the behaviours that the two opportunity perspectives suggest. This study contributes to the literature on business model innovation by emphasising the relationship between environmental context and approach to business model innovation and by reinforcing the link with entrepreneurship theory.     

Multinational firms, international trade and international telecommunications

The study analyses the determinants of international telephone, telex, telegram and leased lines communication between the United States and 46 countries. It focusses on the role of multinational firms, international trading firms and new information technologies within the framework of the theory of transaction costs.Results of the econometric estimates suggest that: (a) technological conditions of telecommunication infrastructure, i.e., international diffusion lags of new information technologies, play an important role in the explanation of international telephone and telex telecommunication flows but not in the demand for telegraph and leased lines, (b) multinational firms use international telecommunication to reduce the coordination costs and are strong customers of leased lines and telephones, but less so of telex and telegrams, (c) international trading firms exhibit less clear preferences in the use of the different media to reduce transaction costs.     

The rise of cost accounting: evidence from Italy

Accounting historians link the origins of cost accounting to the rise of manufacturing firms and, in a more detailed way, to efficiency control, pricing and decision-making problems faced in those organizations. To date, the international debate has mainly focused on practices in the USA, Great Britain and France, with little evidence available of developments in other countries, such as Italy. In this paper, the authors analyse the development of cost accounting in an Italian firm, 'La Magona d'Italia'. This iron, steel and tinplate firm, situated in Piombino, is observed over the period 1865-1940, i.e. during the central phase of the industrial revolution in Italy. We find that several factors influenced the implementation of a cost accounting system at Magona, including efficiency control, strategic decision making, and stock valuation. We also find a strong British influence on Magona's strategy, organization and information system, particularly in respect of finance, managers, technology and accounting practices. There is little evidence that Italian accounting traditions and practice played much of a role.     

On Some Characteristics of Gaussian Covariance Functions

The concepts of isotropy/anisotropy and separability/non‐separability of a covariance function are strictly related. If a covariance function is separable, it cannot be isotropic or geometrically anisotropic, except for the Gaussian covariance function, which is the only model both separable and isotropic. In this paper, some interesting results concerning the Gaussian covariance model and its properties related to isotropy and separability are given, and moreover, some examples are provided. Finally, a discussion on asymmetric models, with Gaussian marginals, is furnished and the strictly positive definiteness condition is discussed.     

Me or information technology? Adoption of artificial intelligence in the delegation of personal strategic decisions

Artificial intelligence is revolutionizing the way we do business. Whereas both the adoption of technological innovations and strategic decision making have been subject to prior research, this experimental study is first to combine both. To understand the impact of choice complexity and cognitive perceptions on the willingness to delegate a strategic decision to an algorithm, we conducted an experiment with 310 participants. We find that although choice complexity has no effect, participants with low levels of situational awareness are more likely to delegate. The findings augment research on choice complexity in decision making by emphasizing the relevance of cognitive perceptions.     

Technological knowledge as an essential facility

The economics of regulation has articulated the notions of essential facility and mandated interconnection. Their application to the governance of technological knowledge can be fruitful especially when implemented by the adoption of a compensatory liability rule and the parallel reduction in the exclusivity of patents. Because knowledge is at the same time an output and an input in the production of new knowledge, exclusivity, traditionally associated to patents, is the cause of actual knowledge rationing with major drawbacks in terms of both static and dynamic efficiency. This institutional innovation can improve the governance of technological knowledge and increase both its rates of dissemination and generation.

Time to work or time to play: The effect of student employment on homework,sleep, and screen time

We use detailed time-diary information on high school students’ daily activities from the 2003–2008 American Time Use Surveys (ATUS) to investigate the effects of employment on the time a student spends on homework and other major activities. Time-diary data are more detailed and accurate than data derived from responses to “usual activity” survey questions underlying other analyses and capture the immediate effects of working that may well accumulate over time to affect future outcomes. Our results suggest that employment decreases the time that high school students spend on homework, which is human-capital building, on all days, but also decreases screen time on non-school days, which may be considered unproductive time. Employed teens get more than the recommended amount of sleep on school days, and only slightly less on non-school days.     

Internal and external factors in innovation persistence

This paper contributes to the analysis of the persistence of innovation activities, as measured by total factor productivity (TFP), and explores its internal and external determinants stressing its path-dependent characteristics. The external conditions, namely the quality of local knowledge pools and the strength of the Schumpeterian rivalry, along with the internal conditions (the actual levels of dynamic capabilities, as proxied by wage levels and firm size) exert a specific and localised effect upon the persistent introduction of innovations. A multiple transition probability matrixes (MTPMs) approach has been implemented to capture the contingent effects of external factors on long-term innovation persistence. The empirical analysis of the dynamics of firm-level TFP for a sample of approximately 7000 Italian manufacturing companies observed during the years 1996–2005 is based on both the comparison of different transition probability matrixes and on dynamic discrete choice panel data models. The evidence provided by the test of MTPMs in sub-periods suggests that innovation persistence is path-dependent, as opposed to past-dependent.     

Pricing options under stochastic volatility: a power series approach

In this paper we present a new approach for solving the pricing equations (PDEs) of European call options for very general stochastic volatility models, including the Stein and Stein, the Hull and White, and the Heston models as particular cases. The main idea is to express the price in terms of a power series of the correlation parameter between the processes driving the dynamics of the price and of the volatility. The expansion is done around correlation zero and each term is identified via a probabilistic expression. It is shown that the power series converges with positive radius under some regularity conditions. Besides, we propose (as in Alós in Finance Stoch. 10:353–365, 2006) a further approximation to make the terms of the series easily computable and we estimate the error we commit. Finally we apply our methodology to some well-known financial models.