Brand-anchored discrete choice experiment (BDCE) vs. direct attribute rating (DAR): An empirical comparison of predictive validity

The image of a brand provides a key driver of brand equity. To build and control a strong brand image though, brand managers require a valid procedure to measure it. This article empirically compares the predictive validity of two measurement techniques to assess brand image: First, a brand-anchored discrete choice experiment (BDCE) which is based on a brand-anchored conjoint approach where brands serve as the levels for any attribute and which was originally introduced as ranting-based approach by Louviere and Johnson Journal of Retailing, 66, 359–382 (1990) and further extended to a BDCE by Eckert et al. International Journal of Research in Marketing, 29, 256–264 (2012). Second, a direct attribute rating (DAR) approach which is commonly used for commercial applications of brand image measurement. An empirical study using a representative sample of the German beer market shows that BDCE shows significantly higher levels of predictive validity (i.e., higher correlations with the actual market shares of the brands under investigation) than the widely used DAR method.     

Demand-side Spillovers and Semi-collusion in the Mobile Communications Market

We analyze roaming policy in the market for mobile telecommunications. Firms undertake quality improving investments in network infrastructure in order to increase geographical coverage, capacity in a given area, or functionality. Prior to investments, roaming policy is determined. We show that under collusion at the investment stage, firms and a benevolent welfare maximizing regulators interests coincide, and no regulatory intervention is needed. When investments are undertaken non-cooperatively, firms and the regulators interests do not coincide. Contrary to what seems to be the regulators concern, firms would decide on a higher roaming quality than the regulator. The effects of allowing a virtual operator to enter are also examined. Furthermore, we discuss some implications for competition policy with regard to network infrastructure investment.     

Expanding Insights on the Diversity Climate–Performance Link: The Role of Workgroup Discrimination and Group Size

The present study extends knowledge of the performance consequences of workgroup diversity climate. Building upon Kopelman, Brief, and Guzzo's ( 1990 ) climate model of productivity, we introduce workgroup discrimination as a behavioral mediator that explains the positive effects of diversity climate on workgroup performance. In addition, we investigate group size as a moderator upon which this mediated relationship depends. We test these moderated‐mediated propositions using a split‐sample design and data from 248 military workgroups comprising 8,707 respondents. Findings from structural equation modeling reveal that diversity climate is consistently positively related to workgroup performance and that this relationship is mediated by discrimination. Results yield a pattern of moderated mediation, in that the indirect relationship between workgroup diversity climate (through perceptions of workgroup discrimination) and group performance was more pronounced in larger than in smaller workgroups. These results illustrate that discrimination and group size represent key factors in determining how a diversity climate is associated with group performance and, thus, have significant implications for research and practice. © 2014 Wiley Periodicals, Inc.     

The dynamic effects of monsoon rainfall shocks on agricultural yield,wages, and food prices in India*

This paper shows that, first, the effects of monsoon rainfall shocks on agricultural yield in India are highly asymmetric: yield falls strongly after droughts, whereas excessive rainfall has only little effects. Second, our key novel finding is that the short-lived yield loss after a widespread drought elicits a persistent decline (increase) in wages (food prices), which lasts for up to five years. Third, affiliation to the same National Sample Survey region (and thus to the same state) seems to be a key determinant of internal migration, whereas distance appears more relevant for food arbitrage trading.     

Open innovation ecosystem organizing from a process view: a longitudinal study in the making of an innovation hub

This paper uses process theory as a theoretical lens to analyze AstraZeneca's enactment of an open innovation initiative with the purpose of strengthening the firm's surrounding innovation ecosystem. Based on empirical data collected over 7 years, we develop a process model of open innovation enactment and explain how the initiative gradually transformed while maintaining its guiding principles, which were set from the start. In applying a process perspective, we highlight open innovation initiatives as dynamic and evolutionary – but not deterministic – developments. As such, we provide a comprehensive and more nuanced understanding of not only what open innovation is but also how it becomes. This study also contributes to the innovation ecosystem literature by theorizing how firms orchestrate innovation ecosystems through open innovation initiatives over time.