An Analysis of the Factor Structure of Jones’ Moral Intensity Construct

In 1991, Jones developed an issue-contingent model of ethical decision making in which moral intensity is posited to affect the four stages of Rest’s 1986 model (awareness, judgment, intention, and behavior). Jones claimed that moral intensity, which is “the extent of issue-related moral imperative in a situation” (p. 372), consists of six characteristics: magnitude of consequences (MC), social consensus (SC), probability of effect (PE), temporal immediacy (TI), proximity (PX), and concentration of effect (CE). This article reports the findings of two studies that analyzed the factor structure of moral intensity, operationalized by a 12-item Perceived Moral Intensity Scale (PMIS) adapted from the work of Singhapakdi et al. [1996, Journal of Business Research, 36, 245–255] and Frey [2000, Journal of Business Ethics, 26, 181–195]. The two items that were purported to measure CE were dropped due to their inability to effectively tap into the characteristic proposed by Jones. Factor analyses of the remaining 10 items supported a 3-factor structure, with the MC, PE, and TI items loading on the first factor, the PX items loading on the second factor, and the SC items loading on the third factor. These factors were labeled: Probable Magnitude of Consequences, Proximity, and Social Consensus. The authors conclude that moral intensity consists of three characteristics, rather than the six posited by Jones.     

Customer relationship management in retailing: A content analysis of retail trade journals

The purpose of this research was to increase knowledge and understanding of how retailers use business intelligence and data mining tools to implement customer relationship management (CRM) in retailing. Specific objectives were to (1) identify organization and infrastructure requirements for CRM effectiveness, (2) identify CRM objectives and goals of retail companies, (3) identify data mining tools utilized by retailers to perform CRM functions, and (4) identify CRM strategies used by retail companies. A keyword search within business databases using CRM and CRM identified publications with CRM content. Content analysis was used on articles (N=149) drawn from Stores, Chain Store Age, Harvard Business Review, and Retail Forward over a 5 year period (2000–2005). Selected articles were stored as text files in QDA Miner, a computerized qualitative analysis tool. Key organization/infrastructure needs emerged focusing on data structure, organizational systems, technology structure, and data accessibility. Retailers goals/objectives and strategies focused on marketing, customer service, understanding customers through data analysis and increasing acquisition and retention through customer loyalty programs. Data mining tools identified supported marketing and customer analysis efforts. Findings provide insight into the challenges retailers face as they implement a more customer-centric business strategy.     

The corporate social responsibility (CSR) employer brand process: integrative review and comprehensive model

ABSTRACT

Firms are increasingly drawing on corporate social responsibility (CSR) in their employer branding to improve attractiveness and engage current and potential employees, and to ensure consistency in employee brand behaviours. However, there is a dearth of literature synthesising CSR and employer branding research to understand employee engagement with CSR-firms from a branding perspective. In this article, the authors carried out an integrative literature review of CSR and employer branding literatures. Informed by signaling theory, the authors develop a conceptual model of the CSR employer branding process as a cohesive view from the potential and current employee perspective. Our review highlights the need for firms to achieve CSR consistency in terms of (a) embeddedness of CSR values, and (b) levels of internal CSR. These two factors frame a typology that enable managers to better execute their CSR employer brand identity to achieve favourable results, such as a high-quality talent pool and positive affective, cognitive and behavioural employee outcomes.     

The Effect of Moral Intensity on Ethical Judgment

Following an extensive review of the moral intensity literature, this article reports the findings of two studies (one between-subjects, the other within-subject) that examined the effect of manipulated and perceived moral intensity on ethical judgment. In the between-subjects study participants judged actions taken in manipulated high moral intensity scenarios to be more unethical than the same actions taken in manipulated low moral intensity scenarios. Findings were mixed for the effect of perceived moral intensity. Both probable magnitude of consequences (a factor consisting of magnitude of consequences, probability of effect, and temporal immediacy) and social consensus had a significant effect; proximity did not. In the within-subject study manipulated moral intensity had a significant effect on ethical judgment, but perceived moral intensity did not. Regression of ethical judgment on age, gender, major, and the three perceived moral intensity factors was significant between-subjects, but not within-subject. Ethical judgment was found to be a more robust predictor of intention than perceived moral intensity using a within-subject design. Joan M. McMahon is an Assistant Professor of Management in the Luter School of Business at Christopher Newport University, teaching courses in Organizational Behavior, Leadership, and Human Resources. She has a B.A. in Speech from the State University of New York, College at Oneonta; an M. Ed. in Early Childhood Education from James Madison University; and an M.S. and Ph.D. in Industrial/Organizational Psychology from Virginia Polytechnic Institute and State University. Robert J. Harvey is an Associate Professor of Psychology at Virginia Polytechnic Institute and State University. He has a B.A. in Psychology and an M.A. in Experimental Psychology from the University of Missouri at Kansas City, and a Ph.D. in Industrial/Organizational Psychology from Ohio State University. Dr. Harvey has authored a number of articles in the Journal of Applied Psychology, the Journal of Personality Assessment, Personnel Psychology, and others. He is the author of the chapter on job analysis in the Handbook of Industrial and Organizational Psychology.     

Income,distance and amenities. An empirical analysis

This paper analyses the income distribution of households in Barcelona metropolitan area. For this purpose we use the monocentric model. As the basic model does not have direct implications for this distribution, we survey the extensions of the model that have been used in empirical literature. One of the most promising ways is to introduce externalities in the decision process; they can result directly from exogenous amenities (given traits of urban area) or be created by other agents’ decisions. We first test the simple model relating income to distance. Then we introduce and test the model with exogenous amenities; recreational areas, transportation systems, health, educational and cultural infrastructure. In the third stage we test the model with spatial effects. We present evidence that any model with spatial effects improves significantly the empirical results.     

The Contingent Effects of Semantic Price Cues

This research endeavors to understand the contingent effects of semantic price cues while taking into consideration several important contextual factors. These factors include where the customer encounters the semantic cue (in-store, at-home, online), whether the consumers’ shopping goal is hedonic or utilitarian in nature, the impact of shopping alone or with a companion, as well as the consumer's motivation to process the product information. Findings indicate that a within-store cue (compared to a between store cue) enhances evaluations when the shopping in a store with a utilitarian goal, when shopping alone, and when their motivation to process is low. A meta-analysis of the results demonstrates the robustness of the differential impacts of these semantic cues.     

Changes in Technology and Preferences: A General Equilibrium Explanation of Rapid Growth in Trade

We use a computable general equilibrium model in an explanation of the recent rapid growth in Australia's trade, particularly intra-industry trade. Relative to previous studies of trade growth based on multiple regression analysis, our approach allows us to: (i) work at a detailed industry level; (ii) use primary variables to represent changes in technology and preferences rather than proxies; and (iii) use a framework based on explicit microeconomic foundations. We find that most of the growth in Australia's trade relative to GDP is explained by changes in technology and preferences.