Corporate social responsibility and service quality provision in shipping firms: financial synergies or trade-offs?

This study examines whether the implementation of corporate social responsibility (CSR) and provision of service quality (SQ) to satisfy shippers result in financial synergies or trade-offs for shipping firms. To address this question, a contingency framework was introduced in this study. The literature was first reviewed for hypotheses development, followed by interviews with eight industry practitioners. Subsequently, an internet survey was administered to 156 shipping firms in Singapore, and the obtained data were analysed using path model analysis and simple slope analysis. The results indicate that CSR complements SQ and provides additional but modest financial contribution to shipping firms via customer satisfaction. In addition, synergistic interactions between SQ and CSR were found. Although there are financial synergies from the implementation of CSR and provision of SQ, the analysis reveals that CSR should only be engaged when a shipping firm is fairly competent at delivering quality shipping services. This paper contributes to both theory and practice by framing business decisions on implementing CSR under contingency theory and offering a strategic approach to managing SQ as well as CSR of shipping firms.     

Modeling heterogeneous parking choice behavior on university campuses

Studies on campus parking indicate more severe problems and a wider range of characteristics than commercial parking because of limited parking places, special conditions, specific policies and enclosed space on university campuses. Heterogeneous characteristics are usually ignored in analyses of campus parking behavior. In this paper, a mixed logit model is applied to analyze parking choice behavior on a campus using data collected from a stated-preference survey of Tongji University, Shanghai, China. The heterogeneity of individuals with various sociodemographic characteristics is evaluated by interaction terms and random parameters. Comparison between the proposed approach and the conditional logit model shows that the results of the mixed logit model are more interpretable because they are not limited by the independence from irrelevant alternatives assumption. Key factors that have considerable effects on campus parking choices are identified and analyzed. Important regularities are also concluded from elasticity analyses. Finally, the campus is divided into two areas according to the walking distance to a new parking lot, and the modeling results show that area-specific policies should be established because the two areas have quite distinct parking choice features.