A Meta-Analysis of Achievement Motivation Differences between Entrepreneurs and Managers*

As a result of conflicting conclusions in primary studies, most narrative reviews have questioned the role of personality in explaining entrepreneurial behavior. We examine one stream of this research by conducting a meta-analysis of studies that contrast the achievement motivation of entrepreneurs and managers. The results indicate that entrepreneurs exhibit higher achievement motivation than managers and that these differences are influenced by the entrepreneur's venture goals, by the use of U.S. or foreign samples, and, to a less clear extent, by projective or objective instrumentation. Moreover, when the analysis is restricted to venture founders, the difference between entrepreneurs and managers on achievement motivation is substantially larger and the credibility intervals do not include zero.     

Preference for a career in retailing: a question of personality

Drawing on previous findings from the field of brand personality research and employer branding, this paper aims to explore the symbolic attributes of the retail industry image in South Africa and to identify those personality traits that distinguish preferred industries from the retail industry. The research provides a contemporary overview of the current image of the retail industry in South Africa from the perspective of young university students and allows retailers to strengthen their joint communication effort accordingly. Therefore, a quantitative survey study with 1426 participants from five South African universities was conducted. Participants assessed personality characteristics of the retail industry as well as their most preferred industry. The main results suggest that retail and non-retail students hold different personality perceptions of the retail industry and that prior retail involvement accounts for this difference to some extent. Moreover, the analysis shows that retailing performs significantly worse on those personality attributes that are of major importance for future job seekers. Additionally, the study identifies those attributes that exert a strong effect on students’ preferences for the retail industry. The findings provide useful communication themes for educational institutions, retail companies, and industry associations in order to foster positive personality perceptions associated with the retail industry.     

Corporate spinoffs and executive compensation

This paper investigates the impact of corporate spinoffs on executive compensation. We find no significant association between executive compensation and stock returns prior to spinoffs, but a significant positive association between the two afterwards. We also find evidence that corporate governance generally improves after the spinoff. In addition, the positive association between executive compensation and stock returns is more pronounced for firms with greater improvements in their corporate governance. Overall, our findings support the notion that spinoffs create value by reducing agency costs.     

Does Consumer Well‐Being Affect Hedonic Consumption?

This article presents a theoretical model that reveals how consumers’ long‐term subjective well‐being (SWB) influences their spending on hedonic products. Using the longitudinal data from a large national panel survey, the study found that consumers’ SWB influences spending on hedonic products via the mediating effects of their positive interpretation of life circumstances and broadened set of activities resulting from positive emotions. The results are explained using cognitive tuning theory and broaden‐and‐build theory and have implications for hedonic products providers in terms of who their target audience is and how demand for their products is generated.     

Deriving joint space positioning maps from consumer preference ratings

Joint space multidimensional scaling maps are often utilized for positioning analyses and are estimated on survey samples of consumer preferences, choices, considerations, or intentions so as to provide a concise spatial depiction of the competitive landscape including relevant dimensions or attributes, competing brands, and consumers in the same joint space representation. Care has to be given concerning the underlying scale properties of such survey data so as not to distort the resulting joint space positioning map. We present a new joint space multidimensional scaling procedure for positioning analyses for displaying the structure in such survey data when such common ordered successive category measurement scales such as Likert, Edwards, semantic differential, etc., are employed. We present the technical details of this stochastic ordered preference multidimensional scaling vector model as well as the maximum likelihood estimation-based algorithm devised for parameter estimation. Favorable comparisons are made with several existent multidimensional scaling methods in representing the internal structure for such data in marketing positioning studies. An actual commercial positioning application concerning large sports utility vehicles consideration to buy judgments is presented with predictive validation comparisons with other multidimensional scaling joint space procedures.     

A simultaneous model of workplace and residential location incorporating job search

The paper develops a model of spatial job search to provide a theory of workplace location with respect to a predetermined place of residence which, the paper argues, is needed to complement the theory of residential location from a predetermined workplace. By concentrating on the role of the skill level of the job seeker, the model distinguishes predictions of the workplace location based on search from those based on commuting considerations. Household survey data from Greater London is analyzed to support the propositions of the search model in the determination of the relationship between the workplace and the household location.     

Ownership Duration in the Residential Housing Market: The Influence of Structure,Tenure, Household and Neighborhood Factors

Turnover rates are important as determinants of the level of activity in housing related industries, in effecting housing market adjustments, and in revealing prices in illiquid, highly segmented, informationally inefficient housing markets. This study examines the relative influence of structure features, tenure, household characteristics and neighborhood factors on ownership turnover rates. The study exploits a Chicago database of just under 50,000 paired sales of attached housing units, with at least one of the sales occurring between 1992 and June of 2002. Within the framework of a Cox proportional hazard model, we focus on a number of factors affecting turnover rates, including whether the housing unit is owner-occupied or rented at the time of sale, price at the time of sale, unit size, age, location in a tax increment financing district, housing density, structure size, year of sale, and neighborhood within Chicago (by Community Area). Finding strong spatial segmentation in turnover (hazard) rates, we further examine the capacity of four sets of Census-derived variables to explain the spatial variation. The household characteristics offer decidedly the strongest power in explaining the segmentation. Results from the hazard model, combined with results from the analysis of spatial variation suggest a household life cycle model of variation in turnover rates.     

Estimating the effectiveness of extension information systems using farm trials and subjective probabilities

A method of combining survey data and Dairy Herd Improvement Association (DHIA) records to achieve low cost farm trials is presented. Farm trials and surveys of current practices and production responses are useful to identify yield gaps between expectations predicted from experimental findings and actual field results. Different management schemes can be ranked using subjective probabilities and stochastic dominance to enhance successful implementation of research findings and to increase the feedback between researchers, extension workers, and producers. A survey of current masitis control practices and expected milk yield response is the example. Combining survey results with DHIA records allowed estimating the relationship between somatic cell counts (SCC) and milk yield. Eliciting beliefs about the relationship between SCC and milk yield showed that producers agreed with predictions from the statistical model. Subjective probabilities about SCC and mastitis control practices showed that our sample of experts and producers consistently ranked the different practices but extension agents had no consensus about the the most or least effective ones.