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The purpose of this paper is to present simulation modelling to reconfigure a 700-bed Hong Kong hospital’s master surgery schedule (MSS), aiming to improve patient flow, capacity management and resource allocation through levelling bed occupancy within the hospital.

A discrete-event simulation model was developed to understand how changes to the MSS would affect bed occupancy, thereby providing business intelligence for short- and long-term hospital planning. A decision tool was subsequently developed for hospital managers to test different scenarios.

Simulation modelling showed that significant bed occupancy levelling could be achieved through small and practicable changes to the MSS. Optimisation routines conducted using the simulation model then gave additional insights into how the schedule should be revamped for the long term.

The authors show how operations research methods are useful for guiding hospital operational planning. The authors show that a data-driven and evidence-based model enables hospital managers to critically explore various scheduling changes, while also providing a scientific common ground for discussion among important stakeholders. It is a crucial step forward when adopting advanced analytics for Hong Kong hospital operational planning.

The authors provide a robust method for evaluating the relationship between Hong Kong hospital’s MSS and its bed occupancy. Through simulating various changes to the surgical schedule, valuable and practicable insights were made available for hospital managers to make short- and longer-term changes that enhance the system’s overall efficiency and service quality.

This study aims to understand how a community of practice (CoP) facilitates the knowledge spiral of intangible cultural heritage (ICH) in tourist destinations.

This case study focuses on Cantonese opera, a representative example of the ICH of Hong Kong. Narrative inquiry with eight CoP members was used in this study.

The CoP members believed that the city has unique and quality tourism knowledge. They used their professional expertise in the domains of creating, collecting and sharing both explicit and tacit knowledge. With the strategic goal of creating a sustainable competitive advantage, CoP act as a kernel in knowledge creation by converting explicit knowledge into tacit knowledge and vice versa.

This study uses the knowledge spiral model to understand knowledge creation, and it contributes to the sparse literature on knowledge management in the field of tourism, especially the role of CoP. It addressed a gap in the literature pertaining to knowledge creation and ICH.

Scholarly interest in interorganizational learning (IOL) has spiked in the past decade because of its potential to absorb, transfer and create valuable knowledge for enhanced innovative performance and sustained competitive advantage. However, only a handful of review studies exists on the topic. The evolution of IOL has not been studied explicitly and there is a lack of understanding of the field trends. To fill this gap, this paper aims to comprehensively review the literature on IOL and map its evolution and trends using bibliometric techniques. In particular, the authors use visualization of science mapping freeware to systematize the findings and interpret the results.

The authors synthesize the findings using “evaluative bibliometric techniques” to identify the quality and quantity indicators of the IOL research and use “relational bibliometric techniques” to determine the structural indicators of the IOL field such as the intellectual foundations and emerging research themes of IOL research.

Through an analysis of 208 journal publications obtained from the Scopus database, the authors determine the leading authors, countries, highly cited papers and their contributions to the IOL literature. By identifying the key hotspots, intellectual foundations and emerging trends of IOL, the authors provide promising avenues in IOL research.

To the best of the knowledge, this study is the first to systematically review the IOL literature and provide future research directions.

Social media have become an increasingly important source for people to learn about politics and public affairs. The purpose of this study is to investigate the role of social media news sharing as a reasoning process of the O-S-R-O-R model and the moderation role of social media news performance on the association between news consumption and attitudinal changes.

A national survey was conducted in the US. The researcher recruited participants in the Qualtrics national panel by following the census adult demographic breakdown.

This study finds that social media news consumption on the US-China trade conflict is likely to lead Americans to change attitudes toward Chinese, and this relationship is mediated by social media news sharing. In addition, the indirect relationship via news sharing is found particularly strong among individuals who perceive social media news fair and balanced.

This study extends the literature by examining social media news engagement on the ongoing trade conflict between the US and China. It reveals that the impact of social media news consumption on people's attitudinal and behavioral changes depends on people's perceived news quality on these platforms. Theoretical contribution to the O-S-R-O-R model and practical implications to social media news are discussed in terms of the role that social media platforms play in attitude change.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2020-0178

As YouTubers began to create videos about their personal experience of using products, these video testimonials have become a powerful form of electronic word-of-mouth (eWOM). This study aims to investigate the mediating role of self-effect and third-person effect in the relationships between eWOM seeking and passing along YouTube product review videos (video-based eWOM – vWOM) as a specific form of eWOM.

The paper used a survey to interview a total of 282 respondents at a public university in the Midwest USA with about 18,000 students.

The results show that perceived third-person effect leads to sharing more positive vWOM, while perceived self-effect results in a high likelihood of passing along negative vWOM. The general eWOM consumption does not have a direct effect on the sharing of vWOM. In addition, the YouTube sharing habit contributes to sharing vWOM regardless of valence.

The results provide marketers’ insights on how to utilize the social media such as YouTube to improve the visibility of promotional brand messages. Sharing of positive vWOM is due to perceived third-person effect (presumed influence), but sharing negative vWOM is due to perceived self-effect. It also suggests marketers take immediate remedial measures to avoid spreading of negative reviews to other users because if viewers are persuaded to think it could happen to themselves as well, they will spread the video.

The paper has theoretical implications. It contributes to the third-person effect and presumed influence literature by exploring its role in spreading the word for products. It also fills the gap in effects of eWOM literature by examining the mediating role of the valence of video-based eWOM in the spread of eWOM.

Large cities are and will continue to become important tourism destinations in foreseeable future. Tourists' motives of the present is the prognosis for their future tourists' behavior. In respond to the longstanding critics in city tourism study, the present research aims to examine the underlying motives of tourists visiting large cities and offer insights into fashioning tourism future for visiting large cities. The identified motives inform three distinct implications fashioning tourism future of large cities.

A quantitative investigation was performed by surveying city tourists. Measurements on the survey form were derived from both scholarly and grey literature in relation to tourists' motivations. 326 valid questionnaires were netted to attain the study aim. Three-quarters of respondents were from Europe, Australia and Pacific. Descriptive analysis and exploratory factor analysis were conducted to achieve the research aims.

Five underlying motives of tourists visiting large cities were revealed: shopping indulgence, urban commons, city icons, cultural and lifestyle and personal advancement. Mapping the findings with a conceptual scheme depicting tourism product in destination, the author revealed a new dimension, urbanity and offered critical reflection on three implications for the tourism future of large cities.

Literature examining city tourists' motives neglect the context-specific measurements while administering the investigation. The research design embraces the urban-specific measurements in the data collection tool, contributing to deeper understanding on how tourism functions in cities. A new dimension, urbanity, which illustrates tourists' motives exclusive in large cities, was identified. Furthermore, three implications fashioning tourism future of large cities are revealed with the support of empirical evidence.

This study aims to examine the difference between personalized and non-personalized recommendations in influencing YouTube users’ video choices. In addition, whether men and women have a significant difference in using recommendations was compared and the predictors of recommendation video use frequency were explored.

A survey of 524 Saudi Arabia college students was conducted using computer-assisted self-administered interviews to collect their video recommendation sources and how likely they follow the recommendation from different sources.

Video links posted on social media used by the digital natives were found as the most effective form of recommendation shows that social approval is important in influencing trials. Recommendations can succeed in both personalized and non-personalized ways. Personalized recommendations as in YouTube recommended videos are almost the same as friends and family’s non-personalized posting of video links on social media in convincing people to watch the videos. Contrary to expectations, Saudi men college students are more likely to use recommendations than women students.

The use of a non-probability sample is a major limitation and self-reported frequency may result in over- or under-estimation of video use.

Marketers will realize that they may not need the personalized recommendation from the large site. They can use social media recommendations by the consumers’ friends and family. E-mail is the worst platform for a recommendation.

Recommendation is a credible source and can overcome the avoidance of advertising. Its influence on consumers will be increasing in years to come with the algorithmic recommendation and social media use.

This is the first study to compare the influence of different online recommendation sources and compare personalized and non-personalized recommendations. As recommendation is growing more and more important with algorithm development online, the study results have high reference values to marketers in Islamic countries and beyond.