Social Work, Merit and Ethnic Diversity

This paper concentrates on the issues of merit and diversityin social work. The principal focus is ethnic diversity, usedas an example to illustrate a wider point about diversity. Itis clear that ethnic diversity in particular has become a majorpolitical objective across the public sector as part of the‘community cohesion’ initiative. Several benefitshave been identified and linked to the achievement of ethnicdiversity in the workforce; many of these have appeared in socialwork debate. The argument here is that while diversity has transformativepotential, it must be located within a more radical agenda ifit is to be successful. As a profession with a radical threadto its pedigree, social work is well placed to take this agendaforward.     

Kurt Lewin's Field Theory: A Review and Re‐evaluation

Field theory was central to Kurt Lewin's work yet, after his death, interest in it declined significantly until the 1990s when a variant, force field analysis, became widely used. This paper examines the origins, purpose and continuing relevance of field theory. It especially looks at the influences of gestalt psychology, topology and Ernst Cassirer's philosophy of science on its development. It argues that Lewin's attempt to replace conventional topology with his own Lewinian mathematics‐based topology in pursuit of scientific rigour resulted in the undermining of its relevance. The paper also compares force field analysis with Lewin's original conception of field theory and shows that it has significant weaknesses in terms of rigour. It concludes that a return to Lewin's original conception of field theory, based on gestalt psychology and conventional topology, can provide academics and practitioners with a valuable and much‐needed approach to managing change.     

“情景伦理”行不通

企业的商业伦理应该在全球范围内保持一致，还是应该根据具体的经营环境进行调整呢？许多人认为，企业的伦理准则应该与经营地的实际情况相契合，推崇“情境伦理”，即根据复杂多变的实际环境，灵活采取相应的实用性伦理准则。     

RFID‐Enabled Visibility and Retail Inventory Record Inaccuracy: Experiments in the Field

Accurate inventory records are key to effective store execution, affecting forecasting, ordering, and replenishment. Prior empirical research, however, shows that retailer inventory records are inherently inaccurate. Radio Frequency Identification (RFID) enables visibility into the movement of inventories in the supply chain. Using two different field experiments, the current research investigates the effectiveness of this visibility in reducing retail store inventory record inaccuracy (IRI). Study 1 used an interrupted time‐series design and involved daily physical counts of all products in one category in 13 stores (8 treatments and 5 controls) of a major global retailer over 23 weeks. Results indicate a significant decrease in IRI of approximately 26% due to RFID‐enabled visibility. Using an untreated control group design with pre‐test and post‐test, Study 2 expands the number of categories to five and the number of stores to 62 (31 treatment and 31 control stores). Results show that the effectiveness of RFID in reducing IRI varies by category (ranging from no statistically significant improvement to 81%). Results also suggest that RFID ameliorates the effects of known determinants of IRI and provide the key insight that the technology is most effective for product categories characterized by these determinants.     

Testing the Normality Assumption in the Tobit Model

This paper examines a number of statistics that have been proposed to test the normality assumption in the tobit (censored regression) model. It argues that a number of commonly proposed statistics can be interpreted as different versions of the Lagrange multiplier, or score, test for a common null hypothesis. This observation is useful in examining the Monte Carlo results presented in the paper. The Monte Carlo results suggest that the computational convenience of a number of statistics is obtained at the cost of poor finite sample performance under the null hypothesis.