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.     

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.     

ON THE EMERGENCE OF TOYBOYS: THE TIMING OF MARRIAGE WITH AGING AND UNCERTAIN CAREERS*

We explore how gender bias in career opportunities affects matching in a marriage market with search frictions and where an individual’s fitness decays with age. We document a “being left on the shelf” effect where young singles, who find the marriage market rapidly thins with age, rush into early partnership. Singles with stronger career opportunities, however, have a greater option value to defer marriage. More equal career opportunities for women (captured by greater schooling and better occupations) potentially explain the recent emergence of toyboy unions, in which the woman is at least 5 years older than her partner.     

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.     

Adult Outcomes for Children of Teenage Mothers

Using data from the British Household Panel Survey, this study examines the relationship between several outcomes in early adulthood (e.g. education, inactivity, earnings and health) and being born to a teenage mother. Besides standard cross‐sectional multivariate regression estimates, we also present evidence from non‐parametric estimates and from estimates that account for unmeasured family background heterogeneity by comparing siblings born to the same mother who timed their births at different ages. Regardless of the econometric technique, being born to a teenage mother is usually associated with worse outcomes. An important channel of transmission of this adverse effect is childhood family structure, which plays a more powerful role than childhood family poverty. Albeit smaller, some of the detrimental effects are also found for children of mothers who gave birth in their early 20s.     

Small-sample inference with spatial HAC estimators

This paper examines the small-sample performance of spatial HAC (SHAC) estimators of the standard errors on parameters. We find that, in small to moderately-sized datasets, the use of HAC estimators may be recommended only with a relatively large degree of cross-sectional interdependence.     

Conceptualizing and validating organizational networking as a second-order formative construct

Based on an existing conceptualization in the literature, this study operationalizes the construct of organizational networking, through a rigorous two-stage scale construction and validation process. Organizational networking refers to firm behaviors, i.e. the activities/routines/practices, which enable an organization to make sense of and capitalize on their networks of direct and indirect business relationships. We conceptualize the measurement model as a second-order formative construct with four first-order reflective constructs based on a four-dimensional view of organizational networking comprising information acquisition, opportunity enabling, strong-tie resource mobilization and weak-tie resource mobilization. The scale validation was undertaken at the first- and second-order levels. The result confirms the four distinct first-order measurement models. At the second-order level, a MIMIC (multiple indicators and multiple causes) model was employed to assess the validity of the formative measurement model. The results suggest that all four components significantly contribute to the overarching construct of organizational networking, with strong-tie resource mobilization being the most important contributor. Thus, our operationalization confirms the uniqueness of the different dimensions of organizational networking that should be configured as a strategy of sensing and seizing opportunities in the network. The organizational networking scale will provide future research with a basis to explore different strategic patterns of networking behaviors in varying contexts, and its role in relation to other organizational behaviors and outcome variables, such as firm performance.     

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.     

THE EFFECT OF PARENTAL EMPLOYMENT ON CHILD SCHOOLING

This paper presents a model that provides conditions under which a causal interpretation can be given to the association between childhood parental employment and subsequent educational attainments of children. The key parameter comes from theconditional demand function for children's future earning capacity. Its identification rests on having data on siblings and assumptions about the timing of parents' knowledge of their children's endowments. In addition to sibling differences, the useof a fixed‐effects instrumental‐variables estimator identifies the parameter under weaker conditions. Empirical analysis informed by the model reveals a negative and significant effect on the child's educational attainment of the months of the mother's full‐time employment when the child was aged 0–5. The effect of the mother's part‐time employment is smaller and less well determined, but again negative. These results suggest that the substitution effect of the mother's employment dominates the income effects. Stronger adverse effects are found for children of less‐educated mothers. Copyright © 2012 John Wiley & Sons, Ltd.