Advertising,avoiding, disrupting,and tabooing: The discursive construction of diversity subjects in the Turkish context

This study investigates organizational diversity discourses in Turkey – a non-Western, politically relevant, yet underrepresented context. Using a Foucauldian perspective on power and discourse, we scrutinize how power relations in the Turkish context are (re)produced. Based on our analysis of company websites and semi-structured interviews with various actors (e.g., HR managers), we propose a conceptual framework of the discursive construction of diversity subjects at work along the dimensions of (1) visibility of organizational diversity discourses and (2) contestation of meaning within organizational diversity discourses. The combination of these dimensions yields four discursive dynamics as illustrated in our data (Advertising, Avoiding, Disrupting, Tabooing). This framework may inspire future context- and power-sensitive investigations on diversity discourses at the workplace.     

Methods for analyzing data from Delphi panels: Some evidence from a forecasting study

Delphi and other methods of using expert opinion to generate forecasts can be a useful tool for planning, impact assessment, and policy analysis. Unfortunately, little is known about the accuracy of forecasts produced using these methods, so their utility is limited at present. Based on the logic of the Delphi method, I suggest that: 1) forecast accuracy should increase across rounds of a Delphi iteration, 2) there is a positive correlation between a panelist's uncertainty about a forecast and his or her shift in forecast from round to round, 3) forecasts weighted by self-reported confidence will be more accurate than unweighted forecasts, and 4) the use of robust estimates of location as summaries of expert opinion yield better forecasts than nonrobust measures. A Delphi experiment provides little support to any of these hypotheses. This finding suggests that traditional assumptions about the proper methods for analyzing a Delphi study may be inappropriate.     

Country‐Specific Profiles of Performance Management in China,Germany, and the United States—An Empirical Test

The vast majority of the literature on performance management (PM) chooses a contextual perspective, focusing on the cross‐country comparison of single elements of the PM system. Simultaneously, a conceptual basis and an encompassing comprehension of country‐specific peculiarities are lacking. Based on a suggested conceptualization of the elements of PM (criteria, actors, methods, purposes, feedback) and hypotheses developed from an encompassing literature review, the authors present empirical findings from a quantitative study including 167 managers from multinational enterprise (MNE) subsidiaries in three culturally and institutionally diverse major economies (Germany, United States, and China). Contrary to what the literature suggests about the local peculiarities of PM, the results of the present study show significant country‐specific differences in only 6 out of 16 investigated PM features. Furthermore, the analytical categorization of “Western” countries versus China cannot be empirically confirmed. In contrast, more similarities between China and Germany than between Germany and the United States are identified. © 2014 Wiley Periodicals, Inc.     

Willingness to Pay for Green Products in Air Travel: Ready for Take‐Off?

We examine the willingness to pay (WTP) for green products in air travel. Green products in aviation are supplementary services, which are sold on top of the travel service (e.g. carbon offsets, organic on‐board food). We identify a set of potential green products in aviation and report the preferences for additional airline services of 811 Swiss air travellers using an adaptive choice‐based conjoint survey. We find that 20% of those passengers who are interested in purchasing supplementary services show a considerable WTP for green products. The green segment differs from the regular segment only in terms of behavioural features, not in terms of demographic or socio‐economic characteristics. Copyright © 2015 John Wiley & Sons, Ltd and ERP Environment