Dynamic network design for reverse logistics operations under uncertainty

The design of reverse logistics network has attracted growing attention with the stringent pressures from environmental and social requirements. In general, decisions about reverse logistics network configurations are made on a long-term basis and factors influencing such reverse logistics network design may also vary over time. This paper proposes dynamic location and allocation models to cope with such issues. A two-stage stochastic programming model is further developed by which a deterministic model for multiperiod reverse logistics network design can be extended to account for the uncertainties. A solution approach integrating a recently proposed sampling method with a heuristic algorithm is also proposed in this research. A numerical experiment is presented to demonstrate the significance of the developed stochastic model as well as the efficiency of the proposed solution method.     

The Logic of History and Leadership: Anselm's Analogs

Sweeney (2003) has stated that Anselm of Canterbury produced a paradoxical understanding: God is both inaccessible and obvious (p. 17). The current article proceeds analogically from Anselm's works to a consideration of whether Leadership Studies and the Social Sciences in general can access the obvious omnipresence of History. Finding that neither Leadership Studies nor the other Social Sciences can access that which is obvious, it then extends, in an Anselmian paradox, to discuss the inevitable use of History in Leadership Studies.     

Motivations and Use Context in Mobile Tourism Shopping: Applying Contingency and Task–Technology Fit Theories

Mobile tourism shopping is an emerging market, but there is little theoretically based research on the topic. This study investigates the impact of motivations (value, enjoyment, time saving and mobility) on consumer satisfaction by applying contingency and task–technology fit theories in the mobile tourism shopping context. The results show that value and enjoyment have significant effects on satisfaction. Use context is found to have a full mediating role between time saving and satisfaction as well as between mobility and satisfaction. This study offers theoretical and practical contributions to the tourism literature and mobile tourism industry. Copyright © 2013 John Wiley & Sons, Ltd.     

Competition Makes Inspectors More Lenient: Evidence from the Motor Vehicle Inspection Market

Review of Industrial Organization - We investigate whether increased competition among inspection firms leads to an increase in the inspection pass rate in the Swedish car inspection market, which...     

The contextual nature of the predictive power of statistically-based quarterly earnings models

We present new empirical evidence on the contextual nature of the predictive power of five statistically-based quarterly earnings expectation models evaluated on a holdout period spanning the twelve quarters from 2000–2002. In marked contrast to extant time-series work, the random walk with drift (RWD) model provides significantly more accurate pooled, one-step-ahead quarterly earnings predictions for a sample of high-technology firms (n = 202). In similar predictive comparisons, the Griffin-Watts (GW) ARIMA model provides significantly more accurate quarterly earnings predictions for a sample of regulated firms (n = 218). Finally, the RWD and GW ARIMA models jointly dominate the other expectation models (i.e., seasonal random walk with drift, the Brown-Rozeff (BR) and Foster (F) ARIMA models) for a default sample of firms (n = 796). We provide supplementary analyses that document the: (1) increased frequency of the number of loss quarters experienced by our sample firms in the holdout period (2000–2002) vis-à-vis the identification period (1990–1999); (2) reduced levels of earnings persistence for our sample firms relative to earnings persistence factors computed by Baginski et al. (2003) during earlier time periods (1970s–1980s); (3) relative impact on the predictive ability of the five expectation models conditioned upon the extent of analyst coverage of sample firms (i.e., no coverage, moderate coverage, and extensive coverage); and (4) sensitivity of predictive performance across subsets of regulated firms with the BR ARIMA model providing the most accurate predictions for utilities (n = 87) while the RWD model is superior for financial institutions (n = 131).

---

The 'Parent Shift' program: incentives for nurses, rewards for nursing teams

To create new opportunities for nurses to reenter the workforce, a RN p.r.n. program must meet the needs of nurses who wish to make dual commitments to home and work. The Parent Shift program provides an innovative model of attracting and retaining nurses in a hospital workforce. Many nurses who joined the program were away from the field of nursing for many years and were drawn to the program because of the promise of flexible shifts and minimal requirements for participation. In this study, flexible shifts not only encouraged program entry, they were also a powerful motivator for continued program participation over time. Parent Shift nurse presence was perceived by nurse managers to decrease stressors and improve time efficiency of full-shift staff.     

Segmenting industrial competitive markets: An example from air freight

This paper applies a disaggregated approach to segment industrial markets under competitive structures taking the air-freight market for the high-technology product industry in Taiwan as a case study. Data from firms is used to examine the structure of the air freight industry and we find that carriers are clustered into two strategic groups, express and forwarder. Pricing is a leading strategy recognized by customers for forwarders, whereas service punctuality and freight security are the winning strategies for express. The high-tech freight market is classifiable by shipment destination and size.     

Exploring the use of travel information – identifying contextual market segmentation in Seoul, Korea

As the amount of information is rapidly growing, and ubiquitous urban environments are emerging, the question which kind of information to provide is a major challenge for commercial and public travel-information service providers alike. This paper reports the analyses of recent data, collected in Metropolitan Seoul, about the acquisition of travel information. The study applies CHAID analysis to find homogeneous segments in travel information acquisition. Findings indicate that contextual variables are crucial to explain information acquisition behaviour, depending on decision context. The implication is that both socioeconomic and contextual variables are important to better understand the acquisition (and provision) of travel information. The results have important implications for managers and policy-makers, in particular in the way they respond to dynamic, contextual market segmentation.