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This study aims to develop a process model to facilitate enterprises’ co-creating value with consumers through social media.

Drawing on the concepts of internet-based co-creation and collective action theory, this study outlines a five-stage model (Interact-Engage-Propose-Act-Realize, IEPAR) of utilizing social media to co-create with consumers, enriches the model through in-depth interviews with industry experts and briefly illustrates how it can be applied in practice using a service firm case.

This study clarifies the co-creation process in the social media environment. For each of the process’s five stages, the objectives to be accomplished by the social media operator and the means to complete the objectives are illustrated.

This study illustrated the proposed model with a representative service firm. Future study may refine the model by gathering additional data from real implementations to improve its effectiveness in practice.

This study suggests how an enterprise can construct a consumer co-creation platform from a managerial perspective. The proposed model can serve as a reference that enterprises can implement to increase customer value through co-creation using social media.

Enterprises have begun to notice the power of serving as a platform for co-creating value with consumers. However, it is seldom related to literature. The proposed model of the co-creation process in the social media environment can supplement past research.

In the past decade, the luxury hotel industry in China has experienced rapid growth. To date, few scholars have investigated what consumers value about their experiences in luxury hotels generally, let alone specifically in the Chinese context. As a result, little is known about what Chinese consumers value in luxury hotel services. To bridge this gap, this paper aims to (1) develop a five-factor luxury hotel value framework from a value co-creation perspective; and (2) assess the relationship between these value dimensions and Chinese consumers’ intentions to stay in luxury hotels.

In total, 492 Chinese luxury hotels consumers participated in the study. A confirmatory factor analysis was used to validate the proposed measurement model, and a hierarchical linear regression was used to test the relationship between luxury hotel value and purchase intentions.

The authors assessed five dimensions of luxury hotel value in the current study: utilitarian value, symbolic value, hedonic value, relational value and financial value. The regression results indicate that for Chinese luxury consumers, hedonic value is the most important predictor of luxury hotel purchase intentions, followed by financial value and utilitarian value. Interestingly, symbolic value and relational value do not significantly influence Chinese consumers’ luxury hotel purchase intentions.

Luxury hoteliers in China can use the value framework when making decisions about market segmentation and brand positioning and to gain a deeper understanding of what motivates target consumers’ purchase intentions. They can also use such knowledge to tailor their product offerings to the preferences of target consumers.

The current study is the first empirical test of a luxury hotel value framework from a value co-creation perspective in the Chinese market. Taking Chinese luxury consumers’ unique characteristics into consideration, the authors further investigate the relationships between various dimensions of luxury hotel value and Chinese consumers’ purchase intentions.

The study aims to use the inter‐relationship between market orientation and e‐marketing in order to investigate alternative mechanisms through which both contribute to tourism services performance.

Direct and indirect effects of market orientation on performance are examined using structural equation modelling in a sample of 216 tourism firms.

Market orientation is found to contribute to performance through a dual mechanism in that it contributes both directly and indirectly, through e‐marketing, to the relationship.

The results indicate that academics and managers should consider the inter‐relationships between multiple sources of competitive advantage when looking for explanations of services performance and particularly, tourism services.

This is the first study, to the authors' knowledge, that investigates the inter‐relationship between market orientation and e‐marketing on service performance within the context of travel and tourism services.

To investigate the relationship between organizational characteristics and enterprise information portal (EIP) adoption, and the relationship between EIP implementation and e‐business performance.

This study uses questionnaire survey method to collect data for statistical analysis.

The result of analysis shows that: between organizations that have and those that have not adopted EIP, significant differences exist in the maturity and familiarity of information technologies, and firm size; the implementation of EIP in terms of application degree, implementation type, integration ability, and users of EIP, will significantly influence e‐business performance; the relationship between the application degree of EIP and e‐business performance will be enhanced by higher e‐business implementation; the relationship between the implementation type of EIP and e‐business performance will be intervened by higher e‐business implementation.

Corporations may create great business value by establishing EIP project.

This paper provides a model to understand the relationship between EIP implementation and e‐business performance and helps corporations evaluate EIP project.

This paper investigates the role of board independence in determining the relationship between firm ownership and auditor choice.

The research uses a logistic regression to test the direct and indirect effects of ownership structure on the decision to hire a high-quality (Big 4) audit firm. The sample consists of 207 non-financial firms listed on the Gulf Cooperation Council (GCC) countries stock markets between 2009 and 2016.

Empirical findings show that family ownership is associated with a negative and significant coefficient suggesting that an increase in family ownership decreases the likelihood that the firm will employ a Big 4 auditor. This finding suggests that family owners are reluctant to impose external monitoring. Furthermore, we find a positive relationship between institutional ownership and auditor choice supporting the conjecture that institutional investors are more likely to choose a Big 4 auditor. The results also reveal that the effects of family and institutional ownership on auditor choice are partially mediated by independent directors.

This study has important implications for GCC economies whose policymakers and regulators may need to address the conflict between controlling and non-controlling shareholders. It provides guidance for firms in the construction and implementation of their own corporate governance policies. Furthermore, the study findings may be useful to investors, assisting them in making better informed decisions and aids other interested parties in gaining a better understanding of the role played by ownership structure in the quality of auditors. Finally, the paper highlights the importance of the composition of the board of directors in increasing the likelihood of hiring a high-quality audit firm.

The main contribution of the present paper is to examine the board composition as a potential mediating variable between ownership structure and auditor choice. Moreover, it highlights the issue of improving governance mechanisms.

This paper aims to examine whether the cultural distance between an international audit firm and target audit clients in emerging countries is associated with auditor choice decisions.

Based on a sample of 104,699 firm-year observations from 20 countries over 2009–2020, logit regression analysis is used to investigate the research questions.

The authors find strong evidence that cultural distance affects the auditor selection decision. The results suggest Big N auditors are more likely to be chosen by target audit clients in emerging countries with less cultural distance. In other words, target audit clients in emerging countries prefer to choose international audit firms whose cultural characteristics are similar. Moreover, results from two-stage least squares regression further suggest that the observed effect of cultural distance on auditor choice is unlikely to be driven by potential endogeneity.

The auditor choice is limited to companies hiring Big N auditors; the authors exclude any switches to non-Big N auditors or switches between Big N auditors. The study also suffers from the concerns about methodological and conceptual criticism that most studies about national culture have to deal with. Finally, through this paper, the authors carry out the auditor selection process from the target audit clients’ side; the authors do not discuss the supply side of the process.

The authors contribute to the audit choice literature by providing evidence that the cultural distance between the countries of audit firms and target audit clients plays a role in the auditor choice decision. The study complements the prior auditor choice literature, focusing primarily on Western economies, by structuring the sample scope to emerging market economies.

This study examines forecast accuracy associated with the forecast of 55 revenue data series of 18 local governments. The last 18 months (6 quarters; or 2 years) of the data are held-out for accuracy evaluation. Results show that forecast software, damped trend methods, and simple exponential smoothing methods perform best with monthly and quarterly data; and use of monthly or quarterly data is marginally better than annualized data. For monthly data, there is no advantage to converting dollar values to real dollars before forecasting and reconverting using a forecasted index. With annual data, naïve methods can outperform exponential smoothing methods for some types of data; and real dollar conversion generally outperforms nominal dollars. The study suggests benchmark forecast errors and recommends a process for selecting a forecast method.

The purpose of this paper is to examine the determinants of learners' satisfaction with a new blended learning method, namely online video presentations.

The study tests the proposed model using responses from 353 students who were exposed to the new method. Regression analysis was used to test the hypotheses.

The results show that both the perceived social (e.g. reduction in comparison bias) and utilitarian (e.g. presentation originality) benefits increase satisfaction with the online video presentation method, from both the creator's and the learner's perspectives.

This study provides several guidelines to instructors employing blended learning methods, as well as designers of platforms that enable blended learning.

This study provides a model to understand the determinants of learners' satisfaction with a new blended learning method. It looks at these determinants from both the content creators' perspective and the content viewer's perspective.

This study aims to review the progress of research on artificial intelligence (AI) relating to the hospitality and tourism industry, focusing on the content, focal points, key terms and trends of AI research.

A total of 491 referred papers are selected from the Web of Science core collection database. These papers, published in the past 30 years (1991–2021), are analyzed by using Gephi and VOSviewer software.

AI research shows a growing trend since 1991, and the number of publications and citations increased significantly since 2018, indicating that AI became a focus for researchers. AI studies are grouped into four clusters, namely, AI technology, technology acceptance, customers’ perception and future trends. The research focus changed from AI technology in the early stage to customers’ attitudes toward and willingness to accept AI.

The findings contribute to advance knowledge development, identify research gaps and shed light on future research. The results offer practical enlightenment for governments, tourism destinations and hospitality organization.

The results offer practical enlightenment for governments, tourism destinations and hospitality organization.

This study is the initial attempt to provide a systematic review of AI research relating to the tourism and hospitality fields.