On a family of data-based transformed models useful in forecasting technological substitutions

This paper examines, via real data, some well known models for technology substitution analysis. We propose a family of data-based transformed models that will include the models under examination as special cases. The basic thrust of the paper is the recognition that for technology substitution analysis, the observations are time series data and hence are not independent. Also, the functional form of the model should be determined by both theoretical considerations as well as the data on hand. This suggests that the traditional ordinary least squares procedure used in estimating the parameters and the resulting forecasting procedures are not adequate. The existing models examined here are Fisher–Pry, Gompertz, Weibull, and Normal. We stress the statistical aspects of the models and their relative merits in terms of predictive power. The criteria used for the purpose of comparison are the mean squared deviation and the mean absolute deviation of the predicted values compared with the actual observations.     

The asymmetric relationship between executive earnings management and compensation: a panel threshold regression approach

Prior research shows that chief executive officers (CEOs) are rewarded for their earnings management. We re-examine this issue using a panel threshold regression approach, which allows the effect of earnings management on the CEO compensation to change across the level of earnings management and CEO compensation. Our results show that the effect of CEOs’ discretionary accounting choices on their compensation is not homogeneous across various degrees of earnings management and compensation. In particular, for firms with moderate (inordinate) levels of earnings management and CEO compensation, earnings management is rewarded (penalized).     

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.     

Social norms, information, and trust among strangers: theory and evidence

Can a social norm of trust and reciprocity emerge among strangers? We investigate this question by examining behavior in an experiment where subjects repeatedly play a two-player binary “trust” game. Players are randomly and anonymously paired with one another in each period. The main questions addressed are whether a social norm of trust and reciprocity emerges under the most extreme information restriction (anonymous community-wide enforcement) or whether trust and reciprocity require additional, individual-specific information about a player’s past history of play and whether that information must be provided freely or at some cost. In the absence of such reputational information, we find that a social norm of trust and reciprocity is difficult to sustain. The provision of reputational information on past individual decisions significantly increases trust and reciprocity, with longer histories yielding the best outcomes. Importantly, we find that making reputational information available at a small cost may also lead to a significant improvement in trust and reciprocity, despite the fact that most subjects do not choose to purchase this information.     

The effect of travel purpose and self-image congruency on preference toward airline livery design and perceived service quality

This paper examines travelers’ preference for airline livery design, which is an important component of sensory experience for tourists. Based on surveys of both U.S. and South Korean respondents, this study finds that airline livery preference depends on travel purpose (i.e. business vs. vacation). Designs preferred by the two travel segments differ in terms of color tone, hue, line, and shape. Business traveler-preferred designs signal punctual, efficient, classy, and safe service; while vacation traveler-preferred designs elicit feelings of fun, friendly, and exotic service. It is also shown that travelers prefer airline livery that is congruent with their situational self-image, depending on the travel occasion at hand. In fact, self-image congruency of design is approximately half of the variance in airline livery preference. Finally, results show that self-image congruency also increases perceived service quality.     

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.     

Examining the influencing factors of intention to share accommodations in online hospitality exchange networks

ABSTRACT

CouchSurfing is a free social-network-based online hospitality exchange network, aptly representing a new sharing economy phenomenon. Based on social capital theory and previous literature, this study attempts to answer why hosts help strangers without any expected economic benefit within online hospitality exchange networks. An empirical study based on a Web survey conducted with CouchSurfing hosts reveals that the most identified antecedents (enjoy helping, shared narratives, desire to make friends, and reciprocity) are significantly related to hosts’ intention to share accommodations. Interestingly, the overshadowing effect of trust in CouchSurfing on the intention to share accommodations is also found.     

The importance of career goal in relation to academic performance: a case study of hospitality management students

ABSTRACT

Hospitality management programs have commonly offered exclusive learning opportunities to talented students in order to keep “brains” in the industry. While academic performance indices are often used to identify “brains” in the education sector, scant research has empirically examined whether “brains” are intended to stay in the industry. This study surveyed 304 hospitality management students and examined the relationships between their career-goal related factors and academic performance. Findings indicate that career goal and positive job valence toward the hospitality industry are significantly related to academic performance. The results of this study contribute to the limited literature on the relationship between career goal and academic performance.     

Corrigendum to “Characterization of the asymptotic distribution of semiparametric M-estimators” [J. Econometrics 159 (2) (2010) 252–266]

This note provides correction to Ichimura and Lee (2010).