Evaluating museum visitor experiences based on user-generated travel photos

ABSTRACT

This research introduces online travel photos published on social media platforms as a complementary data resource to examine the behavior and experience of museum visitors. The practical value of online travel photos is demonstrated through a case study of popular Hong Kong museums, particularly by using the photo content and metadata available from the Flickr platform. The proposed approach is a generic method for understanding museum visitor behavior and preferences, and supports museum practitioners in developing improved products for visitors. The case study findings are particularly beneficial for tourism managers, especially those in Hong Kong, in promoting and attracting tourists to visit local museums.     

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.     

Cardinality-based equality of opportunities

We study possible rankings of opportunity profiles. An opportunity profile is a list of opportunity sets, one for each agent in the society. We compare profiles on the basis of the notion of “equality of opportunities”. Our main results show the necessary and sufficient conditions for this comparison to be made using exclusively the information provided by two cardinal measures: the number of common alternatives in all sets of a given profile and the difference between the number of alternatives in the individual sets. We also show that, under additional axioms, we can combine these criteria only in a weighted procedure or in some lexicographic refinements of a weighted procedure.      

Pitfalls of Normal-Gamma Stochastic Frontier Models

Although conceptually pleasing, normal-gamma frontier models lead to difficult estimation problems. It is shown here that unless the sample size reaches several thousands of observations the shape parameter of the gamma density is hard to estimate, and that this carries over to estimates of the stochastic frontier, the individual inefficiencies, and the allocation of the overall variance to the stochastic frontier and to the inefficiencies.     

民族旅游地国内游客行为研究及其应用--以广西龙胜各族自治县为例

文章以龙胜国内游客行为研究为例对民族旅游地国内游客行为进行研究，通过大量的文案调研和问卷调研，重点分析了龙胜国内游客的人口统计学特征、需求与消费行为、游客的时空分布。在对游客行为的影响因素进行研究的同时，探讨了游客行为研究在市场导向型旅游规划产品设计中的应用。     

Testing for unit roots in time series models with non-stationary volatility

Many of the key macro-economic and financial variables in developed economies are characterized by permanent volatility shifts. It is known that conventional unit root tests are potentially unreliable in the presence of such behaviour, depending on a particular function (the variance profile) of the underlying volatility process. Somewhat surprisingly then, very little work has been undertaken to develop unit root tests which are robust to the presence of permanent volatility shifts. In this paper we fill this gap in the literature by proposing tests which are valid in the presence of a quite general class of permanent variance changes which includes single and multiple (abrupt and smooth-transition) volatility change processes as special cases. Our solution uses numerical methods to simulate the asymptotic null distribution of the statistics based on a consistent estimate of the variance profile which we also develop. The practitioner is not required to specify a parametric model for volatility. An empirical illustration using producer price inflation series from the Stock–Watson database is reported.     

深圳市市政公园游客行为调查与分析

深圳市市政公园免费对外开放,其优美的环境和完善的设施已成为市民和外来务工人员休闲娱乐的好去处。文章对市政公园游客的结构、游园目的、交通方式、逗留时间、游园频率、消费情况及游客对公园清洁生产活动进行了具体调查和分析,得出了游客游园的基本资料及游客对深圳市政公园管理的认可程度,并在此基础上提出了深圳市市政公园建设与管理的几点建议。     

The Role of Omitted Variables in Identifying a Long-run Equilibrium Relationship for the Italian Government Growth

We discuss the role of omitted variables in the long run empirical modeling of the Italian government growth based on a Wagner's Law framework. We identify a non-spurious long-run relationship between general government expenditure and domestic product only when our Wagner's Law model is enhanced by a measure of bureaucratic power, as a supply-side variable, and by the ratio of local to state expenditure, as an institutional factor that captures the division of competencies between local and central government in allocating public expenditure. This result is independent from the Wagner's Law specification chosen. The persistence profile analysis shows a slow adjustment to equilibrium for the estimated government growth relationship following system-wide shocks, pointing to rigidities and complex functioning of the public sector.     

Validating a customer well-being index related to natural wildlife tourism

This study reports an attempt to validate a customer well-being (CWB) index related to natural wildlife tourism. It was hypothesized that the CWB index related to wildlife tourism has a positive influence on travel outcomes (length of stay, number of visits, and total expenses), mediated by perceived value and customer loyalty. These hypotheses were tested using four waves of surveys of customers (overnight visitors) intercepted at the park in a two-year period. The survey data provided support for the hypotheses, which, in turn, lend validation support to the CWB index. Managerial implications of the customer well-being index are also discussed.     

Exploring consumer attitudes to online collaborative consumption: A typology of collaborative consumer profiles

Online collaborative consumption enhances peer networks, members of which communicate, collaborate, and even deliver services to one another via digital sharing platforms. Despite the tremendous increase in collaborative consumption, due in large part to the development of the Internet, the reality of the economic and social movements that underpin this trend is much less visible. Of course, not all consumers seek collaborative consumption or interact through online platforms. Using a qualitative approach, this paper aims to investigate motivational factors and barriers against collaborative consumption and to establish a typology of collaborative consumer profiles, identifying the most suitable type of online sharing platforms for each profile. The findings reveal the following collaborative consumer profiles: committed, pragmatists, intermittent, and skeptical, each demonstrating different preferences for the different type of online sharing platform.