A Business Model Innovation Typology

An effective business model is the core enabler of any company's performance. Business model innovation is not only becoming more and more important due to increasing and globalizing competition, but also an enormous challenge, both theoretically and practically. Although many managers are eager to consider more disruptive changes to their business model, they often do not know how to articulate their existing or desired business model and, even less so, understand the possibilities for innovating it. One of the steps toward developing more theoretical insight and practical guidelines is the identification of types and the development of a typology of business model innovations. Ten retrospective case studies of business model innovations undertaken by two industrial companies provide the empirical basis for this article. We analyzed the characteristics of these innovations as well as their success rates. The findings suggest that there are indeed various business model innovation types, each with its own characteristics and challenges.     

Investigating impacts of complex sampling on latent growth curve modelling

We investigate the impacts of complex sampling on point and standard error estimates in latent growth curve modelling of survey data. Methodological issues are illustrated with empirical evidence from the analysis of longitudinal data on life satisfaction trajectories using data from the British Household Panel Survey, a national representative survey in Great Britain. A multi-process second-order latent growth curve model with conditional linear growth is used to study variation in the two perceived life satisfaction latent factors considered. The benefits of accounting for the complex survey design are considered, including obtaining unbiased both point and standard error estimates, and therefore correctly specified confidence intervals and statistical tests. We conclude that, even for the rather elaborated longitudinal data models that were considered, estimation procedures are affected by variance-inflating impacts of complex sampling.     

Do hostile sexual beliefs affect men's perceptions of sexual-interest messages?

This study tested the distorted cognitions component of Hall and Hirschman's (1991) quadripartite model of sexual aggression. Men (N = 107) with and without hostile sexual beliefs viewed erotic slides with a female partner who provided one of four patterns of feedback: clear disinterest, token disinterest, compliant interest, and clear interest. Hostile men reported fewer differences between women, were unresponsive to their partner's perceived embarrassment, and reported a consistent positive mood regardless of her feedback. Conversely, nonhostile men were more responsive to feedback, mirrored the partner's embarrassment, and experienced a less positive mood when she communicated clear disinterest in the erotica. These findings support the distorted cognitions component of the quadripartite model of sexual aggression. The authors also discuss the strengths and limitations of this study's methodology.     

Community-managed water supplies in Africa: sustainable or dispensable?

Over the past two decades, community management has become theprevalent model for management of rural water supplies throughoutsub-Saharan Africa. Despite its widespread popularity amongdonors and implementing agencies, low water supply sustainabilitylevels throughout the sub-continent indicate that it is notthe panacea it is often presented to be. There is a strong needto distinguish between ‘community participation’which is a prerequisite for sustainability and ‘communitymanagement’ which is not. If community management systemsare to be sustainable, they require ongoing support from anoverseeing institution to provide encouragement and motivation,monitoring, participatory planning, capacity building, and specialisttechnical assistance. If such support is not available, alternativessuch as household water supplies and private sector servicedelivery should be considered.     

Public Management at the Ballot Box: Performance Information and Electoral Support for Incumbent English Local Governments

Publishing performance information about local public services,an increasing trend in many Organisation for Economic Co-operationand Development countries, matters politically because it hasan effect on incumbent local governments' electoral support.Voters are able to use performance information to punish orreward incumbents in the elections that follow their publication,which may fill a gap in the chain of accountability betweenvoters and governments. We model the introduction of publishedComprehensive Performance Assessments of local authorities inEngland, which make summary information about performance availableto voters, as a "shock" to the relationship between voters andincumbents. Controlling for an unpublicized measure of performancechange over time, change in the local tax level, change in localeconomic conditions, and whether the local incumbent is theparty of the incumbent government at the national level, wefind negativity bias. Incumbents in local authorities in the"poor" performance category experience a substantial reductionin aggregate vote share at the election following publication,but there is no similarly sized reward for those in the highestperformance category.     

Changes in HIV/AIDS knowledge and testing behavior in Africa: how much and for whom?

Demographic and Health Survey data from nine African countries make it clear that HIV/AIDS prevention knowledge has been increasing. Still, in many cases, fewer than half of adult respondents can identify specific prevention behaviors. Knowledge is lowest in rural areas and among women. HIV testing generally remains rare but is highly variable across countries, likely reflecting differences in the supply of testing services. In most cases, schooling and wealth impacts on prevention knowledge have either been stable or have increased; hence, in the majority of contexts, initial disparities in knowledge by education and wealth levels have persisted or widened.

Penalized Pseudolikelihood Inference in Spatial Interaction Models with Covariates

Given spatially located observed random variables ( x , z = {( x _i , z _i )} _i , we propose a new method for non-parametric estimation of the potential functions of a Markov random field p ( x | z ), based on a roughness penalty approach. The new estimator maximizes the penalized log-pseudolikelihood function and is a natural cubic spline. The calculations involved do not rely on Monte Carlo simulation. We suggest the use of B-splines to stabilize the numerical procedure. An application in Bayesian image reconstruction is described.