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.     

Exploring the Role of Product Development Capability for Transforming Marketing Intelligence into Firm Performance

ABSTRACT

Purpose: This study examines the role of product development capability for transforming marketing intelligence activities into firm performance on industrial markets.

Methodology/Approach: The authors apply structural equation modeling to analyze survey data from 342 industrial manufacturing companies.

Findings: Results reveal that sales integration and holistic macroeconomic view are particularly important features of the marketing intelligence capability on industrial markets to gain additional insights in order to develop products successfully. Results also reveal that product development capability transforms the marketing intelligence activities into firm performance on industrial markets.

Research Implications: This study offers new insights on marketing theory by extending and concretizing the concept of market orientation to a broader concept of the marketing intelligence capability for industrial markets. Further, this research reveals that the product development capability serves as a mediator to business performance.

Practical Implications: This study’s systematic and tangible outline of the dimensions of marketing intelligence and its link to the product development capability helps firms to better understand how to capitalize on market orientation’s potential values.

Originality/Value/Contribution: This research (a) reveals the relevant dimensions of marketing intelligence on industrial markets and (b) shows how the product development capability tranforms marketing intelligence activities into firm performance on industrial markets.     

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.     

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.     

The efficient hedging problem for American options

In this paper, we prove the existence of efficient partial hedging strategies for a trader unable to commit the initial minimal amount of money needed to implement a hedging strategy for an American option. The attitude towards the shortfall is modeled in terms of a decreasing and convex risk functional satisfying a lower semicontinuity property with respect to the Fatou convergence of stochastic processes. Some relevant examples of risk functionals are analyzed. Numerical computations in a discrete-time market model are provided. In a Lévy market, an approximating solution is given assuming discrete-time trading.     

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.     

Monotone dependence in graphical models for multivariate Markov chains

We show that a deeper insight into the relations among marginal processes of a multivariate Markov chain can be gained by testing hypotheses of Granger noncausality, contemporaneous independence and monotone dependence. Granger noncausality and contemporaneous independence conditions are read off a mixed graph, and the dependence of an univariate component of the chain on its parents—according to the graph terminology—is described in terms of stochastic dominance criteria. The examined hypotheses are proven to be equivalent to equality and inequality constraints on some parameters of a multivariate logistic model for the transition probabilities. The introduced hypotheses are tested on real categorical time series.     

International Cooperation Behind the Veil of Uncertainty – The Case of Transboundary Acidification

The complexities of international environmental problems are only poorly understood. Hence, decision makers have to negotiate about abatement measures even though they do not know the 'true' model of the ecological system and have only a rough idea about the costs and benefits of their action. It will be analysed to what extent this kind of 'model uncertainty' – where players do not only have incomplete information about the payoff functions of the other players, but also about their own payoff function – affects the prospects of international cooperation. Using a simple game-theoretic model, it is shown how countries can use the veil of uncertainty to hide their distributional interests. The arguments are based on a deviation from the common prior assumption, which seems particularly questionable in a setting comprising various countries with different cultural and scientific backgrounds. Finally the model will prove useful to quantitatively and qualitatively illustrate the central role of model uncertainty in the negotiations of the first Sulphur Protocol signed to combat transboundary acidification.