Search results

This study provides evidence on the relationship between scale characteristics and participant responses for percentage-based scales (i.e., 101 points) in accounting research. A 4 × 1 between-subjects experiment examines how common labeling designs affect various statistical properties, including means, variance, normality of the distribution, and frequency of responses. The results indicate that labels on percentage-based scales have a significant impact on the distribution of participants' responses. Labeling only the endpoints is the lone condition that results in normally distributed data. Additional analyses suggest that labels on percentage-based scales influence participant responses in multiple ways. First, as the number of labels increases, participants may not adequately consider, and thus ultimately select, unlabeled points. Second, while participants seem to inherently interpret percentage-based scales in quartiles and deciles, labeling as such exacerbates this tendency. Finally, when more labels are present, participants seem to engage an anchoring heuristic when selecting their response. Taken as a whole, the results suggest that accounting researchers may benefit from labeling only the endpoints of percentage-based scales.

The predominant view of positioning in both the literature and practice – a remarkably uni- or two-dimensional view – asks these questions: (1) What dimension should the product or service be positioned on, for example, unique styling, design, performance, and quality? (2) What category does the product or service compete in or belong to? So marketers therefore ask: Should the computer brand be positioned as reliable (Dell), or faster (Toshiba)? Research on economic value is well established in the pricing literature, especially in business-to-business pricing. Most of this literature focuses on differentiation value, that is, how to calculate the worth of the differential benefits a customer receives from using the firm's product versus the competitive substitute. But a much less studied area of this research deals with the price of the competitive reference product, or competitive frame of reference. Rarely do marketers extend positioning strategy to the level of economic value, asking: How is the product framed, and how valuable is the frame? The purpose of this chapter is to explore competitive frames of reference in business-to-business positioning. Specifically, what are alternative types of frames of reference? What is the role of the reference price in frames of reference? What are the implications of choosing one type of frame of reference versus another?

Are education systems converging toward a global model of teacher education or do local models tend to predominate in spite of attempts to reform them? How much do global, national, and local cultures shape and condition future teachers’ opportunities to learn to teach? How do these opportunities influence teachers’ pedagogical content knowledge? In this chapter we use data from the IEA’s first study of the effectiveness of pre-service teacher education in order to investigate teacher education policy, program structure, and outcomes. Using multilevel modeling we found that across countries individual characteristics have a similar and powerful influence on what future teachers come to know at the end of their pre-service programs. The effects of teacher education curriculum on future teachers’ mathematics pedagogical content knowledge reaffirm the prevalence of local cultures on the implementation of an increasingly globalized ideal. We conclude that while the provision of teacher education shares many common features in goals and structure across countries, it is strongly influenced by local conditions and norms, and by cultural notions of the knowledge that is considered essential – framing how quality is to be defined and operationalized – when learning to teach.

The study here responds to the view that the crucial problem in strategic management (research) is firm heterogeneity – why firms adopt different strategies and structures, why heterogeneity persists, and why competitors perform differently. The present study applies complexity theory tenets and a “neo-configurational perspective” of Misangyi et al. (2016) in proposing complex antecedent conditions affecting complex outcome conditions. Rather than examining variable directional relationships using null hypotheses statistical tests, the study examines case-based conditions using somewhat precise outcome tests (SPOT). The complex outcome conditions include firms with high financial performances in declining markets and firms with low financial performances in growing markets – the study focuses on seemingly paradoxical outcomes. The study here examines firm strategies and outcomes for separate samples of cross-sectional data of manufacturing firms with headquarters in one of two nations: Finland (n = 820) and Hungary (n = 300). The study includes examining the predictive validities of the models. The study contributes conceptual advances of complex firm orientation configurations and complex firm performance capabilities configurations as mediating conditions between firmographics, firm resources, and the two final complex outcome conditions (high performance in declining markets and low performance in growing markets). The study contributes by showing how fuzzy-logic computing with words (Zadeh, 1966) advances strategic management research toward achieving requisite variety to overcome the theory-analytic mismatch pervasive currently in the discipline (Fiss, 2007, 2011) – thus, this study is a useful step toward solving the crucial problem of how to explain firm heterogeneity.