贵州的脱贫和发展：基于三因子耦合的解析

贵州的脱贫和发展案例表明，欠发达地区的脱贫和发展是集合“核心设施、骨干领域、环境机遇”三大因子共同发力的结果。这一发现挑战了当代主流发展理论，并在落后国家或区域具有广泛复制的价值。这种新发展观不只是一种自洽且连贯的学说，还可作为引导明智行动的机制对待，因而深具实践意义。可以把这三个强关联性词汇转换为规范且符合逻辑的陈述以激发洞见，充实当代发展理论，同时为其他不发达地区的贫困治理和经济发展提供经验和借鉴。     

Optimal investment with vintage capital: Equilibrium distributions

The paper concerns the study of equilibrium points, or steady states, of economic systems arising in modeling optimal investment with vintage capital, namely, systems where all key variables (capitals, investments, prices) are indexed not only by time but also by age. Capital accumulation is hence described as a partial differential equation (briefly, PDE), and equilibrium points are in fact equilibrium distributions in the variable of ages. A general method is developed to compute and study equilibrium points of a wide range of infinite dimensional, infinite horizon, optimal control problems. We apply the method to optimal investment with vintage capital, for a variety of data, deriving existence and uniqueness of equilibrium distribution, as well as analytic formulas for optimal controls and trajectories in the long run. The examples suggest that the same method can be applied to other economic problems displaying heterogeneity. This shows how effective the theoretical machinery of optimal control in infinite dimension is in computing explicitly equilibrium distributions. To this extent, the results of this work constitute a first crucial step towards a thorough understanding of the behavior of optimal paths in the long run.     

A systematic review of AI technology-based service encounters: Implications for hospitality and tourism operations

The hospitality and tourism industry faces serious challenges during public health emergencies such as COVID-19. Managers are concerned not only about how to maintain business and provide humanized services but also about social distancing. This study presented artificial intelligence (AI) technology-based service encounters as a possible solution and examined the antecedents and consequences of the encounter triad including customers, employees, and AI. Based on a systematic literature review, the study identified 4 modes of AI technology-based service encounters: AI-supplemented, AI-generated, AI-mediated, and AI-facilitated encounters. In addition, the study developed an integrated model to specify the factors that influence AI technology-infused service encounters in general and the customer service outcomes that result from the encounters. The findings contribute to service management and AI application theoretically and practically.     

“Sensing” the destination: Development of the destination sensescape index

Despite the increasing academic interest in the sensory dimension of the tourist experience, the quantitative empirical research in the field is limited by a lack of measurement instruments for evaluating the sensory stimuli perceived by tourists during a destination visit. The study addresses this gap by developing a composite index to assess the sensory destination panorama, termed as “destination sensescape”. The construct is conceptualised as a formative multidimensional variable with 5 dimensions (visualscape, smellscape, tastescape, soundscape, and hapticscape). The psychometric validity and reliability of the 17 items integrating the formative index were established by a rigorous multi-step procedure based on three empirical studies. The instrument was tested with data collected from visitors of a Mediterranean urban destination. The operationalisation of the destination sensescape construct not only paves the way for future quantitative sensory studies, but also yields a useful tool for Destination Marketing Organisations (DMOs).     

Mandatory IFRS adoption and management forecasts: The impact of enforcement changes

We examine how concurrent enforcement changes affect the positive relationship between mandatory IFRS adoption and firms’ voluntary disclosure. We show that the increase in the issuance of management forecasts after IFRS adoption is smaller for firms from IFRS-mandating countries with concurrent enforcement changes than for those from countries without such changes. We find no difference in the increase of forecast informativeness between firms from IFRS-mandating countries without concurrent enforcement changes and firms from non-IFRS-mandating countries; however, firms domiciled in IFRS-mandating countries with concurrent enforcement changes exhibit a significantly smaller increase in forecast informativeness. Our findings suggest that better IFRS enforcement distinctly weakens (strengthens) the positive effect of IFRS adoption on voluntary (mandatory) disclosure.     

The distinct influence of power distance perception and power distance values on customer satisfaction in response to loyalty programs

In today's fiercely competitive environment, firms are increasingly relying on loyalty programs to influence customers' repeat purchase behavior. However, little is known about how customers' cultural values shape their satisfaction in response to loyalty programs. Such knowledge is important because it allows marketers to identify cultural segments that may be more or less likely to respond favorably to loyalty programs, and hence increase the effectiveness of such programs. In the current research, we propose that power distance perception — defined as the extent to which people observe power disparities in society — positively influences satisfaction of customers who hold loyalty status, but negatively influences satisfaction of customers who do not hold loyalty status with a firm. In contrast, power distance values — defined as the extent to which people endorse power disparities in society — negatively influences satisfaction of customers who hold loyalty status, but positively influences satisfaction of customers who do not hold loyalty status with a firm. A quasi-field study and several lab experiments support these propositions, shed light on the underlying mechanisms, and rule out alternative explanations. Our findings also uncover several distinct tools that marketers could use to influence non-loyalty status and loyalty status customers' satisfaction with businesses.     

A spatial autoregressive stochastic frontier model for panel data incorporating a model of technical inefficiency

By integrating Battese and Coelli’s (1995) model and the spatial autoregressive model (SAR), a spatial autoregressive stochastic frontier model for panel data is developed. The main feature of this frontier model is a spatial lag term of explained variables and the joint structure of a production possibility frontier with a model of technical inefficiency. The model addresses both spatial dependence and heteroskedastic technical inefficiency. This study applies maximum likelihood methods considering the endogenous spatial lag term. The proposed model nests several existing models. Further, an empirical analysis using data on the Japanese manufacturing industry is conducted and the existing models are tested against the proposed model, which is found to be statistically supported. The findings suggest that estimates in the existing spatial and non-spatial models may exhibit bias because of lack of determinants of technical inefficiency, as well as a spatial lag. This bias also affects the technical efficiency score and its ranking.     

Bayesian forecasting of UEFA Champions League under alternative seeding regimes

The evaluation of seeding rules requires the use of probabilistic forecasting models both for individual matches and for the tournament. Prior papers have employed a match-level forecasting model and then used a Monte Carlo simulation of the tournament for estimating outcome probabilities, thus allowing an outcome uncertainty measure to be attached to each proposed seeding regime, for example. However, this approach does not take into account the uncertainty that may surround parameter estimates in the underlying match-level forecasting model. We propose a Bayesian approach for addressing this problem, and illustrate it by simulating the UEFA Champions League under alternative seeding regimes. We find that changes in 2015 tended to increase the uncertainty over progression to the knock-out stage, but made limited difference to which clubs would contest the final.     

How hospitality brands grow: What hospitality marketers should know about Andrew Ehrenberg’s work (invited paper for ‘luminaries’ special issue of International Journal of Hospitality Management)

Andrew Ehrenberg’s work challenges the emphasis that hospitality marketing practitioners, educators and academic researchers place on segmentation, targeting (especially of heavy users), positioning, and meaningful brand differentiation. However, few marketing practitioners and scholars in hospitality appear familiar with this work. This invited paper attempts to increase awareness and appreciation of Ehrenberg’s work as well as its relevance to and implications for hospitality marketing. Topics covered include the NBD Law, Law of Double Jeopardy, Duplication of Purchase Law, and Law of Natural Monopoly as well as the evidence of weak brand segmentation, low perceived brand uniqueness, and the generalizability of the brand belief-usage relationship.     

Does it pay off for museums to foster creativity? The complementary effect of innovative visitor experiences

This paper aims to explore the link between creativity orientation, investment in visitors’ experience and operating and funding performance in tourist attractions, taking museums as a case study. The empirical work is based on an analysis of the information provided by a sample of Spanish, French, German, British and American museums. The findings highlight the positive impact of creativity orientation on museums’ operating performance, but show a curvilinear effect on funding performance. The use of new technologies and adaptation to the audience proves positive when seeking to attract visitors.