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This paper discusses the urban management challenges in the Greater Kuala Lumpur area. Before examining Greater Kuala Lumpur's economic and social environment, we will look at the factors that make it a competitive and fiscally sound entity. When considering urban development and redevelopment, we consider how proposed and ongoing projects, as well as plans, hierarchical links, and road networks, contributed to the increase. Because there is no urban growth boundary, land use change and rural encroachment, as well as environmental degradation and the impact of national economic projects on urban expansion, are both rapid and linear in the analysis. This paper also considers how to manage linear development that results in the creation of new suburbs. Finally, we propose strategies for achieving sustainable urban expansion and management by balancing the financial and governance capacities of Greater Kuala Lumpur local governments.

The purpose of this study is, first, to determine which developments have shaped official hotel classification systems over recent years (including the impact of guest-review platforms) and second to establish the future of those systems through the eyes of the people who are actually in charge of operating them.

Semi-structured interviews were chosen as the most suitable method for approaching hotel classification system administrators. This method is in line with previous research on approaching key informants in their respective fields. Sixteen people representing 12 different official national hotel classification systems from across the world as well as one commercial hotel star rating system participated in the online interviews.

The first main conclusion is that hotel classification systems – especially voluntary ones – would not have survived the enormous impact of guest-review platforms without quickly adjusting to the ever-changing hotel industry landscape. The frequent review of classification criteria and procedures has become the main survival strategy of classification systems. The second conclusion is that system operators are strongly optimistic about the future outlook of hotel classification based on their proven flexibility to swiftly adapt to new market conditions.

Research about hotel classification systems is usually based on the views of the systems' users, i.e. hotels or hotel guests, whereas the present paper reflects the perspective of the systems' operators, an angle rarely analyzed in the literature.

The purpose of this paper is to interview Mr. Jingbang Zhang, EVP of Yagao Meihua Hotel Management Co., Ltd & CEO of Madison Brand based in Shanghai, China, regarding the impact of COVID-19 on China’s hotel industry and potential post-COVID-19 trends.

Interview with hotel group CEO and industry leader in China.

Several effects of COVID-19 and potential trends are discussed from a hotel CEO’s perspective.

Tourism and hospitality stakeholders will acquire a better understanding of the impacts of COVID-19 on China’s hotel industry and possible post-COVID-19 adjustments

This paper aims to measure the relationship between online experiential marketing (during the purchasing process involving information search and booking) and offline experiential marketing (during the stay) with hotel brand equity. In addition, the study attempts to determine if there is a significant link between the online hotel experience and the subsequent offline hotel stay experience.

A self-report survey was conducted in a series of four-star hotels in Granada city. The questionnaire was focused on measuring online experience, offline experience and brand equity. For the analysis of the data, a structural equations model was developed.

The results suggest that the experience during the hotel stay, contrary to that of the online purchase process, has an influence on hotel brand equity. Nonetheless, the online experience has a significant impact on the hotel stay experience.

This study is of particular utility for hotel management given that, although it is a sector that for several years has integrated experiential marketing in its service strategy, there is little research analyzing the impact of such actions on the variables that are of interest to the hotel.

There are no hotel sector studies that have jointly analyzed the role of the online and offline tourist experience and its role in contributing to brand equity. Recognizing the previous notions will allow hotels to identify where to focus marketing efforts so as to increase brand equity.

Esta investigación pretende medir la relación existente entre el marketing experiencial online (durante el proceso de compra online) y offline (durante la estancia), con el capital de marca del sector hotelero. Además, busca identificar si existe relación significativa entre la experiencia online y la experiencia offline.

Se pasó un cuestionario autoadministrado a turistas alojados en hoteles de cuatro estrellas de la ciudad de Granada. El cuestionario medía la experiencia online, la experiencia offline y el capital de marca. Para el análisis de los datos se desarrolló un modelo de ecuaciones estructurales.

Los resultados indican que la experiencia vivida durante la estancia tiene influencia en el capital de marca, mientras que la experiencia durante la compra online no presenta relación con el capital de marca. Sin embargo, esta experiencia online tiene impacto en la experiencia vivida durante la estancia.

Este estudio es de particular utilidad para la gestión hotelera dado que, aunque el sector desde hace años ha integrado el marketing experiencial en su estrategia de servicio, pocas investigaciones analizan el impacto de dichas acciones sobre las variables que les interesan.

Dentro del sector hotelero no hay estudios que analicen conjuntamente el papel de la experiencia turística online y offline y su papel en la contribución al capital de marca. Este conocimiento permite determinar dónde enfocar los esfuerzos de marketing para aumentar el capital de marca.

Recommendation systems are a fundamental tool for hotels to adopt a differentiating competitive strategy. The main purpose of this work is to use machine learning techniques to treat imbalanced data sets, not applied until now in the tourism field. These techniques have allowed the authors to analyse the influence of imbalance data on hotel recommendation models and how this phenomenon affects client dissatisfaction.

An opinion survey was conducted among hotel customers of different categories in 120 different countries. A total of 135.102 surveys were collected over eleven quarters. A longitudinal design was conducted during this period. A binary logistic model was applied using the function generalized lineal model (GLM).

Through the analysis of a representative amount of data, the authors empirically demonstrate that the imbalance phenomenon is systematically present in hotel recommendation surveys. In addition, the authors show that the imbalance exists independently of the period in which the survey is done, which means that it is intrinsic to recommendation surveys on this topic. The authors demonstrate the improvement of recommendation systems highlighting the presence of imbalance data and consequences for marketing strategies.

The main contribution of the current work is to apply to the tourism sector the framework for imbalanced data, typically used in the machine learning, improving predictive models.

Over the years, shrines have been ignored as a destination by islamic marketing scholars. However, shrines can be classified as Islamic spiritual destinations which are visited by people to serve various purposes. Moreover, in the country context of Pakistan with its beautiful cultural traditions and the religiousness among people, the visit to a shrine as a destination experience is scantly examined. This study fills this void and aims at exploring Muslim tourists' spiritual experiences of visiting shrines as Islamic spiritual destinations.

An interpretive qualitative inquiry is used based on phenomenology as the leading methodology for this exploration. Following a purposive sampling technique, researchers interviewed 10 informants who regularly visit shrines. The collected data are analyzed based on thematic analysis.

The results of a thematic analysis reveal six themes that emerged from tourists' experiences of Islamic spiritual destinations. These include: religious and spiritual values, spiritual belief system, commercial experience, hospitality and support experience, socialization experience and obstruction experience.

The findings of this study can be used by policymakers managing Islamic tourist destinations. It will help them to improve tourist experiences.

The findings contribute to both theory and practice of destination marketing by exploring the factors influencing tourists' perceptions about their experience of Islamic spiritual destinations.

The COVID-19 pandemic is considered a “once in a century” public health shock that, at the time of writing, continues to have a profound impact on global tourism and New Zealand. The paper aims to assess how consumer behaviour trends changed using a trends analysis framework.

Positioning the paper in the prognosis–prediction paradigm from futures studies and using a trend analysis approach, the authors forecasted a series of tourist trends at the beginning of COVID-19 based upon a multitude of sources trends. Then, 12 months later, they reported on the accuracy of these forecasts.

The matrix identifies 15 trends based upon consumer behaviour changes, which are either dominant, slowed, advanced or arrested. The prognosis was largely correct, which was supported by evidence gathered 12 months later.

The paper uses a series of different data sources to reflect on the initial forecasts. To some, this may be an issue of rigor, but the authors argue that through triangulation, credibility and validity are increased.

First, the evaluation matrix allows users to make sense of COVID-19 based upon the concepts of dominant, slowed, advanced or arrested trends. Second, the matrix allows users to evaluate changes and movement of trends. Third, the trends featured in this paper could be generalisable to several different circumstances associated with simple identity. Fourth, this paper has tested the ability to predict trends in an uncertain environment within the context of the ontological paradigm of prognosis and prediction of futures states.

The paper aims to analyse the meaning and extension of discretionary power of social service professionals within network-based interventions.

Empirically, the paper is based on a case study of a network-based policy involving private and public organisations in the Northeast of Italy (Province of Trento).

The paper identifies netocracy as a social policy logic distinct from bureaucracy and professionalism. What legitimises netocracy is neither authority nor expertise but cooperation, the activation of connections and involvement, considered “good” per se. In this framework, professionalism and discretion acquire new and problematic meanings compared to street-level bureaucracy processes.

Based on a case study, the research results cannot be generalised but pave the way to further comparative investigations.

The paper reveals that the position of professionals in netocracy is to some extent trickier than that in a bureaucracy because netocracy seems to have the power to encapsulate them and make it less likely for them to deviate from expected courses of action.

Combining different literature streams – street level bureaucracy, professionalism, network organisations and welfare governance – and building on an original case study, the paper contribute to understanding professionalism in welfare contexts increasingly characterised by the combination of bureaucratic, professional and network logics.