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.     

Chinese dietary culture influences consumers' intention to use imported soy‐based dietary supplements: an application of the theory of planned behaviour

The over‐saturated dietary supplement (DS) market in developed countries such as the US spurs the need for foreign market expansion, and the Chinese market provides a great potential for the foreign soy‐based DS industry. This study examined Chinese consumers' intention to use imported (US‐made US‐brand) soy‐based DS based on the Theory of Planned Behavior (TPB). Two alternative models were also examined in which Chinese dietary culture variables, including soyfoods favourability and dining‐out sociability, as well as their interactions with attitudes, were integrated into the TPB model. A cross‐sectional, self‐administered survey was conducted with a sample of 215 subjects (137 females; 78 males) in Shanghai, China. The TPB variables attitude, subjective norm, perceived behaviour control and behavioural intention, as well as the Chinese dietary culture variables: soyfoods favourability and dine‐out sociability were measured. Multiple linear regressions were used to analyze the three models. The statistical results indicated that all three models were statistically significant to predict intention (Model 1: R² = 0.473, P < 0.001; Model 2: R² = 0.505, P < 0.001; Model 3: R² = 0.525, P < 0.001). The results also showed that attitude, perceived behavioural control, and dine‐out sociability were significant (positive) determinants of intention. Soyfoods favourability acted a significant (negative) moderator of the relationship between attitude and intention. Subjective norm had no significant impact on intention. In conclusion, the TPB model was useful to predict Chinese consumers' intention to use imported soy‐based DS, but not all the TPB components weighed significantly in exploring DS consumption in China. The selected Chinese dietary culture variables were much more important predictors than subjective norm. This study makes a significant contribution in the application of the TPB model and in market strategy development for imported dietary supplements in China.     

Greening transportation fleets: Insights from a two-stage game theoretic model

The greening of organizational transportation fleets, especially trucks and automobiles, has gained increasing attention by companies in a variety of industrial sectors. The reasons for this concern and attention are due to regulatory and competitive pressures, but also increasing costs of fossil-fuels. Surprisingly the amount of research and modeling for fleet management overall has been rather limited, with the focus on managing green vehicle investments virtually non-existent. In this study we develop a two-stage game theoretic model that helps evaluate, from both policy and organizational perspectives, the implications of greening of transportation fleets. Various parameters are evaluated including factors such as innovations in green vehicle technology, levels of service differences, cost of fuel, adjusting tax policy, regulatory compliance requirements, and adaptation costs. This evaluation provides practical insights into actions that could be considered by regulators and organizations to encourage environmental investments.     

Nonparametric Estimation of Oligopsony Power in First‐Price Auction

This paper proposes a nonparametric procedure to estimate market power for first‐price auction data and applies the procedure to cattle procurement markets. Most previous studies have used parametric methods, which require specific functional forms for retail demand, input supply and processors’ cost equations. However, researchers often find that market power estimates from parametric methods are sensitive to the choice of functional forms and specifications. An application to data from cattle procurement experiments shows that our nonparametric approach greatly outperforms commonly used parametric methods in estimating the degree of market power. While parametric estimates are sensitive to functional form specification and are at least 90% smaller than ‘true’ market power indices, estimates from our nonparametric procedure deviate from the actual value by no more than 25%.     

A Conjoint/Logit Analysis of Consumers’ Responses to Genetically Modified Tofu in Taiwan

We use data collected from a consumer survey of face‐to‐face interviews to determine consumer demand for genetically modified (GM) tofu attributes in Taiwan. Conjoint analysis using logit models reveals that, on average, brand is the most important attribute in terms of influence on consumers’ preferences, followed by price, with GM content having the least influence. However, the analysis also reveals three distinct market segments for tofu. Apart from the largest segment (which reflects the average lack of concern about GM food), the remaining two segments are split according to their preference or antipathy towards GM tofu. This result suggests that GM labelling is helpful to Taiwanese tofu consumers.     

The spatial and temporal variation in passenger service rate and its impact on train dwell time: A time-series clustering approach using dynamic time warping

This study aims to improve the understanding of the underlying mechanism of passenger boarding and alighting processes, as well as its potential influence on train dwell time and train operation. Empirical data collected from one of busiest metro stations in Seoul, Korea, demonstrates the spatial and temporal variation in the passenger service rate, as a result of interference between boarding, alighting, and standing passengers. This study postulates that the level of interference can be associated with the train car occupancy and the proximity of train door to entry points, as waiting passengers tend to cluster near the platform entries. A unique temporal service rate curve is derived from each door location. We introduce Dynamic Time Warping for similarity assessment and clustering. It revealed four groups of train doors showing distinct shapes of curve from each platform. The first cluster includes the train doors located closest to the platform entry points where the initial service rate is drastically impeded by severe inference among passengers. The level of interference gradually diminishes as the door is located farther away from the entry points, but the overall service rate decreases as well. A passenger service time model is derived to include the cluster variable. To test its significance, the prediction capability of the model is presented with and without the cluster variable. The results of this study may be used to guide waiting passengers along the platform to minimize interference and to avoid serious disruption during passenger service time.     

Impacts of Market Reform on Spatial Volatility of Maize Prices in Tanzania

Maize is one of the major staples and cash crops for many Tanzanians. Excessive volatility of maize prices destabilises farm income in maize‐growing regions and is likely to jeopardise nutrition and investment in many poor rural communities. This study investigates whether market reform policies in Tanzania have increased the volatility of maize prices, and identifies regional characteristics that can be attributed to the spatial price volatility. To achieve the objectives, an autoregressive conditional heteroskedasticity in mean (ARCH‐M) model is developed and estimated in this study. Results show that the reforms have increased farm‐gate prices and overall price volatility. Maize prices are lower in surplus and less developed regions than those in deficit and developed regions. Results also show that the developed and maize‐deficit regions, and regions bordering other countries have experienced less volatile prices than less developed, maize‐surplus and non‐bordering regions. Our findings indicate that investments in communication and transportation infrastructures from government and donor countries are likely to increase inter‐regional and international trade, thereby reducing the spatial price volatility in Tanzanian maize prices in the long run.     

Young Americans' ethnic identity toward disaster advertising: The effects of disaster location and message types

The purpose of this study is to examine young American donors' perspectives toward disaster ad messages. Attitude toward helping others, social responsibility, ethnic identity on donation behavior, attitude toward ad, and advertising effectiveness were examined using 2 experimental variables (disaster location and message types). The findings explain that the constructs are positively related to each other and the 2 experimental variables significantly influence young Americans' attitudes toward ads and advertising effectiveness. In addition, young Americans expressed stronger feelings concerning attitude toward charity ads, and a higher level of advertising effectiveness was demonstrated when the disaster occurred domestically. Further, emotional messages were considered more persuasive than factual messages. As managerial suggestions, when charities work for domestic disasters, emphasizing patriotism and an emotional message can increase the positive attitude toward ads and advertising effectiveness. On the contrary, when charities work for international disasters, the messages should focus on diminishing distinctions between in‐group and out‐group perceptions.     

Tourists’ happiness: are there smart tourism technology effects?

The purpose of this study is to develop a research model demonstrating tourists’ value-seeking processes through the tourism services and travel experiences of a destination. The model suggests that tourist happiness is assessed by tourists’ perceived experiences, which are formed by two motivational values: smart tourism technology (STT) and destination value. Despite a large quantity of research attention on destination tourism, the relation between tourists’ destination experience and STT has been less enthusiastically studied. Therefore, this study proposes to test an integrated model with attributes of STTs and destination values that contribute to tourists’ life happiness. The results of this study, from a survey of 191 foreign tourists in Seoul, South Korea, indicate that tourists are likely to put more value on what they perceived from their destination travel experiences than what they perceived from their experiences with STT services when they evaluate their overall happiness. Theoretical and practical implications are discussed.