Processes of non-identification: Business school brands and academic faculty

This paper examines the internal implications of branding within higher education, a specific context which is dominated by the co-existence of strong professional logics and identity structures. We focus on how and whether academic faculty identify with the branding practices undertaken by their respective institution. The paper proposes a communicative perspective on brand identification to understand how academic faculty relate to and make sense of the brand. The findings, from responses of 65 faculty members at five business schools, indicate widespread indifference and non-identification with brand messages. Specifically, we identify four types of disconnects between faculty members and branding practices of their respective schools, namely ambiguity, emptiness, misalignment, and irrelevance. The evidence of these disconnects, we argue, suggests that the faculty members refrain from relating the brand to their own identities. Although individuals relate to discourses around the brand, these are often not internalized and do not thereby impact on their individual identity. Rather than navigating between identity tensions, they eschew identification altogether. We contribute to research on how branding works inside contemporary organizations – including higher education - through questioning the role of identity in branding processes seen as the management of meaning.     

Auditing Quality of Research in Social Sciences

A growing body of studies involves complex research processes facing many interpretations and iterations during the analyses. Complex research generally has an explorative in-depth qualitative nature. Because these studies rely less on standardized procedures of data gathering and analysis, it is often not clear how quality was insured or assured. However, one can not easily find techniques that are suitable for such complex research processes to assess the quality of the study. In this paper, we discuss and present a suitable validation procedure. We first discuss how ‘diagnosing’ quality involves three generic criteria. Next, we present findings of previous research in possible procedures to assure the quality of research in social sciences. We introduce the audit procedure designed by Halpern [(1983) Auditing Naturalistic Inquiries: The Development and Application of a Model. Unpublished doctoral dissertation, Indiana University] we found an appropriate starting point for a suitable procedure for quality judgment. Subsequently, we will present a redesign of the original procedure, with according guidelines for the researcher (the auditee) and for the evaluator of the quality of the study (the auditor). With that design, we aim to enable researchers to bring forward their explorative qualitative studies as stronger and more equally valuable to studies that can rely on standardized procedures.     

Attitudes towards immigration—Perceived consequences and economic self-interest

Using the European Social Survey 2002/3, we develop a new test of whether economic self-interest influences people's attitudes towards immigration, exploiting that people have widely different perceptions of the consequences of immigration.     

UNCOVERING THE COMMON RISK‐FREE RATE IN THE EUROPEAN MONETARY UNION

We introduce longitudinal factor analysis (LFA) to extract the common risk‐free (CRF) rate from a sample of sovereign bonds of countries in a monetary union. Since LFA exploits the typically very large longitudinal dimension of bond data, it performs better than traditional factor analysis methods that rely on the much smaller cross‐sectional dimension. European sovereign bond yields for the period 2006–2011 are decomposed into a CRF rate, a default risk premium and a liquidity risk premium. Our empirical findings suggest that investors chase both credit quality and liquidity, and that they price double default risk on credit default swaps. Copyright © 2013 John Wiley & Sons, Ltd.     

A local search algorithm for the optimization of the stochastic economic lot scheduling problem

This paper describes a model for the stochastic economic lot scheduling problem (SELSP) and a Local Search heuristic to find close to optimal solutions to this model. The SELSP considers multiple products, which have to be scheduled on a single facility with limited capacity and significant setup times and costs. The demand is modeled as a stationary compound renewal process. The objective is to find a schedule that minimizes the long-run average costs for setups and inventories while satisfying a given fill rate. We use a cyclic scheduling approach in which the individual cycle time of each product is a multiple of some basic period (fundamental cycle).For the deterministic version of the SELSP, efficient heuristics have been developed which guarantee the feasibility of the solution by adding an additional constraint to the problem. In our case this is not sufficient, because for the calculation of the average inventory levels and fill rates we need to develop a schedule with detailed timing of the lots. We present an efficient heuristic for this scheduling problem, which can also be used to check the feasibility of the solution. Thereby, the most time-consuming step (the calculation of average inventory levels and fill rates) is only performed for a limited set of candidates.The algorithm was tested on deterministic benchmark problems from literature and on a large set of stochastic instances. We report on the performance of the heuristic in both cases and try to identify the main factors influencing the objective.     

Does immigration boost per capita income?

Using a cross-section of countries, we adapt Frankel and Romer's (1999) IV strategy to international labor mobility. Controlling for institutional quality, trade, and financial openness, we establish a robust and non-negative causal effect of immigration on real per capita income.     

The challenges of risk society for impact assessment

This paper takes its point of departure in Ulrich Beck’s theory of risk society and the aspects that characterise this society. The paper puts forward a hypothesis, on which theoretical challenges the characteristics of risk society pose to impact assessment as a decision support tool; namely, the challenge of delivering assessments and predictions and the challenge of handling differences of opinion and debate. Through a case example of integration of climate change in strategic environmental assessment, the paper uses empirical evidence from a survey and a series of interviews to carry out a preliminary discussion of how the theoretical challenges are reflected in practice. The case study results show that the challenge of delivering assessments and predictions in a risk society is reflected in the current state of practice, while the challenge of handling differences of opinion and debate is not clearly reflected.     

Sustainability Targets in Executive Remuneration: Targets,Time Frame,Country and Sector Specification

Existing remuneration plans for CEOs still mainly focus on financial performance and do not necessarily promote sustainable value creation for their firms. By way of reaction to this, a growing number of academics and practitioners are acknowledging the need for the inclusion of sustainability targets in executive remuneration. This study examines the current status of the use of sustainability targets in executive remuneration specified by country, sector and targets. Based on a sample of 490 listed firms from 11 countries and different sectors, the use of targets related to sustainability in executive remuneration is assessed. The targets are specified by kind of target (short term and long term) and content of target (environmental, social or a combination of both). The results of this study show that (a) in 2010 on average 33% of the firms used sustainability targets in remuneration, (b) mainly the ‘dirty’ industries use targets, (c) the targets used are mainly short‐term targets and (d) they focus on social issues. Copyright © 2015 John Wiley & Sons, Ltd and ERP Environment     

The Fit Factor: The Role of Fit Between Ads in Understanding Cross-Media Synergy

This research investigates the role of fit between campaign ads in generating cross-media effects. Using an ecologically valid design, this article enhances our understanding of cross-media effects in real life. By combining a content analysis of Dutch cross-media campaigns with a secondary data analysis of tracking studies on the same campaigns (n = 900), this research revealed that fit contributed positively to campaign evaluations yet contributed negatively to brand and campaign memory. In conclusion, this research shows that fit is an important factor in understanding cross-media synergy but might have both positive and negative effects.