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.     

Blockholder Exit Threats and Financial Reporting Quality

Recent theoretical and empirical studies suggest that blockholders (shareholders with ownership ≥ 5 percent) exert governance through the threat of exit. Blockholders have strong incentives to gather private information and sell their shares when managers are perceived to underperform. To prevent blockholders from selling their shares and the firm from suffering a stock price decline, managers align their actions with the interests of shareholders. As a result of the greater manager‐shareholder alignment, managers' actions are more likely to be in shareholders' best interest, and consequently there is less need for managers to manipulate earnings. Consistent with these predictions from economic theory, we find evidence that as exit threat increases, firms have higher financial reporting quality. Theory also predicts that the impact of blockholders' exit threat on financial reporting quality (FRQ) should increase as the manager's wealth is tied more closely to the stock price, and this is what we find. Our study contributes to the research on the impact of shareholders on FRQ and to an emerging literature on the impact of blockholders in financial markets. Blockholders play an important role in managers' reporting outcomes through their actions as informed investors.     

Banks’ deferred tax assets during the financial crisis

Review of Quantitative Finance and Accounting - Prior studies have demonstrated that the net deferred tax liabilities of industrial firms are valued by market participants in a manner consistent...     

Individual Large Shareholders,Earnings Management,and Capital‐Market Consequences

Using a large hand‐collected sample of all blockholders (ownership ≥ 5%) of S&P 1500 firms for the years 2002–2009, we first document significant individual blockholder effects on earnings management (accrual‐based earnings management, real earnings management, and restatements). This association is driven primarily by these large shareholders influencing rather than selecting firms’ financial reporting practices. Second, the market's reaction to earnings announcements suggests that investors recognize the heterogeneity in blockholders’ influence on earnings management. The results highlight the highly individualized effects of blockholders and a mechanism through which shareholders impact reported earnings.     

A sectoral approach to Okun’s Law

The study adds to the existing literature on the relationship between output and unemployment by using a sectoral specification of Okun’s Law to capture the differential sensitivity of the unemployment rate to output developments in the services and manufacturing sectors. Using quarterly data for the period between 2000 and 2012, we show that Malta’s unemployment rate has been more sensitive to output developments in the services sector than to those in the manufacturing sector. We use different equation specifications and the youth unemployment rate to show that the impact resulting from developments in the manufacturing sector occurs mainly via lay-offs while developments in the services sector affect the unemployment rate via the hiring of new entrants into the labour market.     

A spatial interaction model for deriving joint space maps of bundle compositions and market segments from pick-any/J data: An application to new product options

We propose an approach for deriving joint space maps of bundle compositions and market segments from three-way (e.g., consumers x product options/benefits/features x usage situations/scenarios/time periods) pick-any/J data. The proposed latent structure multidimensional scaling procedure simultaneously extracts market segment and product option positions in a joint space map such that the closer a product option is to a particlar segment, the higher the likelihood of its being chosen by that segment. A segment-level threshold parameter is estimated that spatially delineates the bundle of product options that are predicted to be chosen by each segment. Estimates of the probability of each consumer belonging to the derived segments are simultaneously obtained. Explicit treatment of product and consumer characteristics are allowed via optional model reparameterizations of the product option locations and segment memberships. We illustrate the use of the proposed approach using an actual commercial application involving pick-any/J data gathered by a major hi-tech firm for some 23 advanced technological options for new automobiles.     

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.     

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.