The Taiwanese love motel - An escape from leisure constraints?

The paper reports research derived from over 800 respondents who self-completed questionnaires while patronising love motels in the Taipei greater metropolitan region, Taiwan. The paper provides a brief history of Taiwanese love motels and distinguishes them from western massage parlours. Five clusters are found that are based on two primary canonical discriminate functions that explain 83 percent of the variance - the dimensions being sexual conventionality-adventurousness and comfort seeking. These dimensions are wholly consistent with the basic premise of the love motels, although additionally privacy for intimate relationships is also important. The survey questionnaire was based on a concept of physical and relationship constraints on leisure, and generally it was found that the ‘push’ factors based on a need to escape these constraints was weaker than the ‘pull’ factors of comfort and privacy.     

The role of capital investment project teams in organisational learning

The management and organisation of capital projects in the British National Health Service (NHS) is dependent upon project teams. An analysis of four case studies shows how these teams also act as agents of learning for individuals and the organisation. This article considers the process by which learning came about. In particular it identifies the ability of the project teams to develop a parallel organisation within a wider organisational context. These teams develop specific rules, roles and relationships which help individual project team members to more effectively share their knowledge with others and their organisation.     

Advertising to the masses: the effects of crowding on the attention to place-based advertising

Advertising situated in environments where people congregate or pass through on their way to somewhere else benefit from being placed in such high traffic areas. However, these strategically placed ads also suffer from conditions of human crowding that prevents them from being noticed and processed. We undertake a study of place-based advertising in a shopping mall using facial recognition software to determine the effect of human density on the attention directed to advertising. We find that as human density increases, attention to advertising decreases, but only to a point where it begins to increase again. Our research also finds that human density plays a moderating role on the motivation to process advertising.     

Nondiscretionary residential water use: the impact of habits and water‐efficient technologies

Several studies published in the last few decades have demonstrated a low price‐elasticity for residential water use. In particular, it has been shown that there is a quantity of water demanded that remains constant regardless of prices and other economic factors. In this research, we characterise residential water demand based on a Stone‐Geary utility function. This specification is not only theory‐compatible but can also explicitly model a minimum level of consumption not dependent on prices or income. This is described as minimum threshold or nondiscretionary water use. Additionally, the Stone‐Geary framework is used to model the subsistence level of water consumption that is dependent on the temporal evolution of consumer habits and stock of physical capital. The main aim of this study is to analyse the impact of water‐saving habits and water‐efficient technologies on residential water demand, while additionally focusing attention on nondiscretionary uses. This is informed by an empirical application using data from a survey conducted among residents of Brisbane City Council, Australia. The results will be especially useful in the design of water tariffs and other water‐saving policies.     

Quality management practices and their relationship to buyer’s supplier ratings: a study in the Korean automotive industry

This research explores if quality management practices are different among suppliers whose performance is rated high, medium, or low by a common buying company and identifies which specific practices contribute to the differences. The entire population of first-tier suppliers to a Korean auto assembler was surveyed to measure use of quality management practices. Useable returns were received from 25% of the suppliers surveyed. To measure conformance quality and overall rating, suppliers were categorized into high, medium, and low performing groups based on the buying company’s data. Multivariate analysis of variance was done using general linear model (GLM-MANOVA) to explore differences in the high-, medium-, and low-performing supplier groups based on their use of quality management practices. No statistically significant differences were found when suppliers were categorized based on conformance quality. However, when categorized based on overall rating, the highest rated suppliers were found to emphasize process management and employee satisfaction to a greater degree than the lowest rated suppliers.     

Of Course We Can Bootstrap DEA Scores! But Does It Mean Anything? Logic Trumps Wishful Thinking

Journal of Productivity Analysis -     

Logistical Strategies and Risks in Canadian Grain Marketing

Logistics management in grain marketing has become very important with the maturity of the industry. This is particularly critical in the Canadian grain marketing system, which has experienced disruptions for various reasons over many years. These problems have been the topic of numerous industry evaluations, have resulted in a complaint about service obligations during the 1996–97 crop year, and were addressed by the Estey Commission. A detailed model of the Canadian grain logistics system is developed in this paper to evaluate factors that cause disruptions, as well as the effect of several important logistics and marketing strategies on system performance. The results illustrate that there is sufficient randomness throughout the various functions of the system that it is expected that demurrage at the west coast would periodically be an important cost. The frequency of service disruptions and demurrage are affected by several factors, including the distribution of tough and damp grains, mis‐graded grain and the level of exportable supplies. Several strategic variables affect system performance. These include the aggressiveness in selling relative to capacity and the level of beginning port stocks. La gestion de la logistique dans le commerce des céréales a acquis une grande importance maintenant que ce secteur a atteint la maturité. C'est particulièrement important dans le système canadien de mise en marché des céréales lequel, pour diverses raisons, a essuyé bien des perturbations ces dernières années. Les problèmes en cause ont fait l'objet de nombreuses évaluations du secteur. Ils ont même abouti au dépôt d'une plainte sur les obligations de service dans la campagne agricole 1996–1997 et ont étéétudiés par la Commission Estey. Dans la présente communication nous avons construit un modèle détaillé du système canadien de logistique du marché des céréales ainsi que de l'effet de plusieurs stratégies importantes de logistique et de commercialisation sur la performance du systeme. Les résultats obtenus montrent qu'il y a suffisamment d'aléatoire dans les diverses fonctions du systeme pour conclure que les frais de séjour à quai sur la côte ouest seraient périodiquement un important poste de dépense. La fréquence des perturbations des services et les coûts a quai sont associés à plusieurs facteurs dont la livraison de grain gourd et humide, de grain mal classé et le niveau des disponibilités exportables. Plusieurs variables stratégiques influent sur le fonctionnement du système, notamment l'agressivité manifestée dans la vente par rapport aux stocks disponibles et le niveau des stocks disponibles dans les ports au début de la campagne d'exportation.     

The Economics of Grain Cleaning on the Prairies

In the Canadian grain marketing system, grains have typically been cleaned to very tight levels at port elevators. In recent years, changes in rail rates, livestock production and grain handling technology are pressuring the system for change. A mathematical programming model of vertical marketing functions in western Canada is developed to determine optimal locations for cleaning. Cleaning margins are positive in all regions of the prairies. Grain cleaning is found generally to be more efficient on the prairies than at the ports. However, grain cleaning will continue at ports to some extent because of inadequate capacity at country positions and sunk costs at port facilities and because primary elevators will likely clean only the dominant grains. Dans le système canadien de commercialisation des céreales, les grains passent généralement par un nettoyage très rigoureux aux silos portuaires. Ces dernières années, les changements affectant les tarifs ferroviaires, les productions animales et la technologie de manutention des céréales rendent cependant nécessaire un changement du système. Les auteurs utilisent un modéle mathématique de programmation des fonctions verticales de mise en marché pour déterminer les emplacements idéaux pour le nettoyage du grain. Les marges commerciales des nettoyeurs étaient positives dans toutes les régions des Prairies et le nettoyage était généralement plus efficient dans cette partie di pays qu'aux situations portuaires. Il continuera cependant à sefaire à ces derniers endroits dans une certaine mesure, en raison du manque de capacités suffisantes aux emplacements de campagne, des coûts irrécupérabies aux installations portuaires et du fait que les élévateurs primaires ne nettoieront vraisemblablement que les céréales commercialement le plus importantes.     

Two-stage DEA: <Emphasis Type=Italic>caveat emptor</Emphasis>

This paper examines the wide-spread practice where data envelopment analysis (DEA) efficiency estimates are regressed on some environmental variables in a second-stage analysis. In the literature, only two statistical models have been proposed in which second-stage regressions are well-defined and meaningful. In the model considered by Simar and Wilson (J Prod Anal 13:49–78, 2007), truncated regression provides consistent estimation in the second stage, where as in the model proposed by Banker and Natarajan (Oper Res 56: 48–58, 2008a), ordinary least squares (OLS) provides consistent estimation. This paper examines, compares, and contrasts the very different assumptions underlying these two models, and makes clear that second-stage OLS estimation is consistent only under very peculiar and unusual assumptions on the data-generating process that limit its applicability. In addition, we show that in either case, bootstrap methods provide the only feasible means for inference in the second stage. We also comment on ad hoc specifications of second-stage regression equations that ignore the part of the data-generating process that yields data used to obtain the initial DEA estimates.