Enhancing online brand experiences: An application of congruity theory

Providing a distinctive brand experience is critical to differentiate each hotel brand from others, due to the intangible characteristics of the hotel industry. Rooted in congruity theory, this study investigated how three congruities (i.e., self-image congruity, online–offline brand image congruity, and value congruity) influenced customers’ online brand experiences and their brand trust. Results from this study indicated both self-image congruity and online–offline brand image congruity significantly influenced both customers’ online brand experiences and their trust toward the hotel's brand. Extending brand experience literature and congruity theory, this study suggested hotels should develop a strategy that could capture these three congruity effects in online and offline channels because these effects should be key determinants for customers’ online brand experiences and their responses.     

Place attachment,host–tourist interactions,and residents’ attitudes towards tourism development: the case of Boa Vista Island in Cape Verde

A clear understanding of residents’ attitudes towards tourism development and its determinants is a crucial pillar for designing tourism development strategies to promote sustainable development. The literature on the influence of host–tourist interactions and place attachment on residents’ attitudes towards tourism development in developing countries is still scarce. To extend knowledge in this field, this study aims at developing and testing a structural model to examine direct and indirect causal effects of place attachment, host–tourist interaction, and perceived positive and negative tourism impacts on the residents’ attitudes towards tourism development in an island tourism destination – Boa Vista Island in Cape Verde. Results suggest that the residents’ attitudes are positively affected by place attachment, host–tourist interaction, and perceived positive impacts; and negatively affected by perceived negative impacts. Host–tourist interaction emerges as the strongest (direct and indirect) determinant of the residents’ attitudes towards tourism development. Moreover, although both positive and negative perceptions of tourism impacts have significant impacts on the residents’ attitudes, the influence of the former is stronger than that of the latter. The paper ends with relevant theoretical and practical implications to promote positive residents’ attitudes towards tourism development in Boa Vista.     

Placing the Urban Village: A Spatial Perspective on the Development Process of Urban Villages in Contemporary China

The rapid urbanization of China since the mid‐1980s has led to the development of a new spatial category, the urban village (chengzhongcun). The dominant neoliberal urban development regime approaches urban villages as a social, spatial, economic and political problem, and as targets for aggressive redevelopment and eradication policies. In this article, I propose a spatial perspective that makes use of several theoretical ‘anchors' to analyze the influence of urban village spatiality on its development process and to explore alternatives to the dominant redevelopment model. I begin by examining the spatial conceptualization of the urban village as a non‐place, arguing that this spatial reading undergirds the redevelopment‐by‐demolition model and tends to obscure alternative conceptualizations. I then move on to propose three alternative readings of urban village space, examining it as an everyday space, a liminal space and a neighborhood. Combining these three readings with the ‘non‐place' conceptualization provides a nuanced understanding of urban villages' unique spatial attributes and social roles, by evoking spatial and social processes that take place in most urban villages across China. Taken together, these spatial readings challenge the social and spatial rigidity of dominant representations of urban villages and supply a much‐needed spatially based conceptual framework that can be used to develop new urban planning models.     

Applications of Statistics in the Field of General Insurance: An Overview

This is an expository paper on applications of statistics in the field of general insurance, also called non‐life insurance. Unlike life insurance where advanced statistical techniques have long been part of financial mathematics and actuarial applications, their use is only relatively recent in non‐life insurance. The business model of insurance companies, especially those active in non‐life insurance, has seen dramatic changes over the last 15 years. The aim of this paper is to convince the readers that especially today non‐life insurance is not only an exciting ground to apply existing modern statistical tools but also a fertile environment for new and challenging statistical developments. The activities of an insurance company can be viewed as an industrial process where data management and data analysis play a key role. That is why a fundamental understanding of data‐related issues (such as data quality, variability, analysis and correct interpretation) is so essential to the insurance business. These are exactly the tasks where professional statisticians excel. Also, a better understanding of the field of general insurance by statisticians will promote fruitful exchanges between actuaries and statisticians, thereby helping to bring actuarial and statistical professional societies closer to each other. Selected examples are used to cover the essential aspects of general insurance, and all of them are based on the author's experience. The paper concludes with some remarks on the role of statisticians working in general insurance.     

Expectations of Working Relationships in International Buyer–Seller Relationships: Development of a Relationship Continuum Scale

This study is an attempt to develop a scale to measure expectations of buyer–seller working relationships on a cross-cultural basis in the hospitality industry. The focus is on North American and Asian hotel salespeople. The scale development drew from previous research in guanxi relationships, purchasing, and selling strategies. While the results did not support a reliable unidimensional scale that could distinguish between transactional and collaborative working relationships, the methodology did create a framework for further scale development.     

Can the North–South trade regime explain intra- and inter-country productivity differences?

The literature identifies North–South disparities in Total Factor Productivity (TFP), which, in turn, justify the bulk of international income differences. By building a dynamic, general equilibrium model of North–South technological-knowledge diffusion with scale-invariant growth, we extend the literature in several directions: (i) growth is driven by Schumpeterian R&D and by high and low-skilled human-capital accumulation; (ii) three trade regimes are considered; (iii) sectoral and aggregate TFP measures are computed; (iv) the extent to which the North–South trade regime explains intra-country TFP and inter-country TFP differences is evaluated. In particular, the results suggest that intra-country TFP differences increase and inter-country TFP differences fall when countries are more interdependent.     

INTEREG: A Twenty-region Input–Output Model for Italy

Since the regional scale turns out to be the scale at which fiscal devolution is likely to be accomplished in Italy, and that at which trade and growth interdependencies as well as regional convergence can be most conveniently investigated, a new 20-region input–output model for Italy seems to be a useful tool of analysis. Although various regional and interregional models have been constructed since the 1950s, none has been implemented for the whole system of 20 Italian administrative regions considered in their tight mutual dependence; also, the pool approach has not been greatly favoured, even in situations where direct information on regional trade is lacking. The main purpose of this paper is to report on the structure of the model, the rather complex procedure used in the model construction and the adopted solution technique. Some space is devoted to the problems encountered in handling regional trade endogenously in an input–output setting and to a comparison between the pool approach, used in the Italian model, and other current techniques. The paper also reports on some preliminary results regarding the regional impact of fiscal policy.     

Who's the Boss at the Top? A Micro‐Level Analysis of Director Expertise,Status and Conformity Within Boards

In this paper we address how director expertise impacts a director's social status and conformity within the board. Our results, derived from two unique multi‐source datasets of peer ratings on director status and conformity of non‐executive directors from Dutch organizations, indicate that industry‐specific expertise and financial expertise differently impact directors’ social status and influence within the board. We find that directors’ individual performance orientation – the motivation to demonstrate expertise – acts as an important contingency for expertise to increase directors’ status within the board. Additional analyses using archival data and interviews with non‐executive directors substantiate our findings and provide additional insight into the dynamics operating within boards. This study extends existing research on boards of directors and provides unique micro‐level insights into the boardroom dynamics that connect director expertise to director status and conformity within boards.     

Estimation of the mean in ranked set sampling with non responses

The estimation of the population mean when ranked set sampling [rss] is used for selecting the sample and non responses [nr] are present, is studied. The nr stratum is sub sampled using simple random sampling with replacement. Two strategies are analyzed. One of them is based on the selection of a sub sample from the nr in each cycle. The other uses sub samples selected among the nr in each rank.  The accuracy of the proposed estimators is characterized by the corresponding expected variances. Simulations and real life data are used for analyzing the behavior of them. Acknowledgements: This paper was developed partially during the visit of the author to Université des Antilles et Gouyane. The author gratefully acknowledges the helpful suggestions of the referees and thanks the support of DAAD for visiting Humboldt University where a version of the paper version was made.     

Modelling the implied volatility surface based on Shanghai 50ETF options

We develop a dynamic factor model to forecast the implied volatility surface (IVS) of Shanghai Stock Exchange 50ETF options. Based on the assumption that dynamic change in IVS is mean-reverting and Markovian, we use a state space model to capture the dynamics of IVS, and set the latent factors to be the Ornstein–Uhlenbeck processes. We obtain the optimal estimations of parameters using the Kalman filter algorithm. Empirical results show that our model performs better than the traditional IVS model in terms of fitting ability and prediction performance.