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Katipuneros RPG: Bisperas ng Himagsikan (Katipuneros RPG: The Eve of the Revolution) is an immersive and gamified theater that engages its “audiences” in the initiation rites of a secret revolutionary movement in the Philippines in 1896. This descriptive qualitative research evaluates such experiential approach to learning history by investigating the experiences and insights of a group of students from the University of the Philippines Los Baños (UPLB), who participated in Katipuneros RPG.

Textual data obtained from the participants' reflection papers and focus group discussion transcripts were analyzed using open and axial coding.

Three key themes summarized the participants' learning experiences as they went through the play, as follows: (1) Katipuneros RPG as an immersive, interactive and intrinsically motivating medium for learning history; (2) the knowledge, values and skills that served as facilitating factors for their learning and (3) the insights the participants gained about history and life in general.

The research argues that in Katipuneros RPG, learners take on a more active role in studying history as the “teacher” vanishes in lieu of a learning system the allows students to think critically, reflect and collaborate. The approach integrates elements of development theater, immersive play and gamified learning, as well as the principles of constructivist, play-based and multi-sensorial learning.

As an innovative learning tool, it is a viable medium to teach history in the current socio-political context of the Philippines.

The study hopes to contribute to literature on pedagogical approaches for teaching and learning history through immersive environments.

Following the planned behaviour theory, the aim of the paper is to analyse the role played by brand attachment, brand characteristics and congruence in enhancing brand attitude while leading to revisit intentions and word-of-mouth (WOM) in the restaurant sector.

The study is based on the quantitative method and considered 464 questionnaires fulfilled by customers of restaurants. The data were explored employing the partial least square–structural equation modelling (PLS-SEM).

This study expands the literature about WOM and revisit intentions. The paper states that brand attitude positively influenced revisit intentions and WOM. Besides, findings highlighted that analysed concepts were positively correlated and that they played an important role in impacting revisit intentions and WOM, apart from one factor: social self-congruity, which was not significantly related to brand attitude.

The results of this paper show practitioners how to develop suitable strategies that set the bases for developing customer loyalty and repeat business. By putting into practice these suggestions in the restaurant sector, brands can easily build up their attitude and boost a positive WOM and the intention to revisit.

The study offers a conceptual framework to explore the significance of several factors, including revisit intentions and WOM. In practice, taking into account the proposed framework, it is suggested that restaurant managers should assess these two items using several factors including congruence, brand characteristics and brand attachment.

The purpose of this research is to examine the dining out activities of Gen Y's in the United States. In particular, it focuses on dining frequency, restaurant selection, restaurant segments and demographic features of Gen Yers.

Empirical data for this study were collected from 631 Gen Y's living in the United States.

The research findings reveal a nascent exploration of eating out preferences of the Gen Y population in an industrialized country in the food service context.

Generation Y is a lucrative and growing customer group for the US foodservice industry. They dine out more frequently than the rest of the population and their dining out preferences are different from other cohorts.

This study offers some practical implications on Gen Y's dining out behavior for food service industry and restaurateurs.

This study aims to examine consumer perception during COVID-19 and identifies cruise industry marketing strategies to fill a gap in crisis management and product pricing literature.

This study developed and validated two-factor measurement scales (vaccine perception and protective behavior), which predicted cruise intents well. This study revealed how geo-regional factors affect consumer psychology through spatial analysis.

This study recommended pricing 7-day cruises at $1,464 (the most preferred length). The results also showed that future price hikes would not affect demand and that coastal marketing would help retain customers.

This study contributed to the business, hospitality and tourism literature by identifying two new and unique factors (vaccine perception and protective behaviors), which were found to affect consumers’ intention to travel by cruise significantly. The result provided a better understanding of cruise tourists’ pricing preferences and the methods utilized could easily be applied to other cruise markets or tourism entities.

This paper aims to analyze the spillover effects between online food delivery providers’ (OFDs) performance and restaurant brands. It proposed a model of three determinants for e-satisfaction with OFDs and related these variables to restaurants’ brand satisfaction, image and loyalty.

A survey was designed, and 332 responses from delivery apps users in Ecuador were collected. A partial least squares structural equations model was applied.

The three proposed determinants of OFD satisfaction were significant: e-service quality, personal aspects of delivery workers and perceived food quality. Regarding the spillover effects, e-service quality and personal aspects had an influence on perceived food quality, mediating a chain of effects on restaurants’ brand satisfaction, image and loyalty.

Data were collected before COVID-19. Further studies will need to be undertaken in the context of the COVID-19 pandemic because minimal contact between delivery workers and customers is expected. In addition, food quality perceptions may include new concerns about biosafety norms.

Practices aiming to improve the service experience with OFDs are suggested, including proper training, supervision and improvement of delivery workers’ conditions. On the other hand, because restaurants do not control OFD’s performance, their contractual agreements should focus on avoiding service failures that erode restaurants’ brand equity.

This paper fulfills the need to study the spillover effects in the context of the collaborative economy, where delivery companies, delivery workers and restaurants work together to provide a service, and the performance of one of the parties impacts the consumers’ perceptions of the other party.

本调查旨在分析在线食品配送提供商 (OFD) 绩效与餐厅品牌之间的溢出效应。 它提出了 OFD 电子满意度的三个决定因素模型, 并将这些变量与餐厅的品牌满意度、形象和忠诚度相关联。

本研究设计了一项调查, 并收集了来自厄瓜多尔交付应用程序用户的 332 份回复。 应用PLS结构方程模型。

OFD 满意度的三个拟议决定因素非常重要：电子服务质量、送货员的个人方面和感知的食品质量。 关于溢出效应, 电子服务质量和个人方面对感知食品质量有影响, 调节对餐厅品牌满意度、形象和忠诚度的连锁影响。

本研究数据是在 COVID-19 之前收集。 由于预计送货员和顾客之间的接触最少, 因此需要在 COVID-19 大流行的背景下进行进一步研究。 此外, 食品质量认知可能包括生物安全规范的新担忧。

本研究建议采取旨在改善 OFD 服务体验的做法, 包括适当的培训、监督和改善送货工人的条件。 另一方面, 由于餐厅不控制 OFD 的绩效, 因此他们的合同协议应着重于避免服务失败而损害餐厅的品牌资产。

本文满足了研究协作经济背景下溢出效应的需要, 在这种情况下, 送货公司、送货工人和餐馆共同提供服务, 其中一方的表现会影响消费者的 对方的看法。

The purpose of this study is to analyse the brand communication on social media (SM) made by two- and three-starred restaurants and the customer reaction in terms of engagement effects during a crisis. The research highlights the connections between brand communication and engagement dynamics on Instagram by looking for differences in the strategies of two and three-starred restaurants and by highlighting the changes in the background engagement drivers.

Using data collected from 5,666 Instagram posts by 34 Italian Michelin-starred restaurants, the authors analysed the crisis-driven changes in online communication and customer engagement comparing three phases of the COVID-19 pandemic by applying a linear regression model with fixed effects.

Michelin-starred restaurants changed their strategies of brand communication to overcome the effects of the crisis. The findings highlight the importance of SM as a tool to stay in touch with consumers and the pivotal role of customers in engagement, especially during a pandemic.

To the best of the authors’ knowledge, this is among the first studies to investigate the changes in brand communication and the effects on customer engagement during a pandemic, with a focus on Instagram. It contributes to understanding the role of platform and the main drivers of engagement on Instagram, as well as suggesting how managers can improve brand value using SM.

The purpose of this paper is to explore the impact of human resource (HR) management practices on achieving competitive advantage through studying the mediating role of employee satisfaction in the context of five-star hotels in Northern Cyprus.

To produce numeric data as well as to test the hypothesis, the researchers employed structural equation modeling and AMOS. The testing included (n=439) questionnaires. The model suggested by the authors examined the tourism sector, and in particular, five-star hotels located in Northern Cyprus.

The main research findings revealed that HR practices had a significant effect on competitive advantage. By comparison, the research findings revealed that the mediator variable had no effect on achieving competitive advantage for five-star hotels in Northern Cyprus.

This study demonstrates originality by responding to the recommendations of prior studies conducted on HR in Northern Cyprus Island. This makes a theoretical contribution to the field, since only Turkey recognizes Northern Cyprus, which makes conducting research on this country a challenge for researchers worldwide. Based on this study’s outcomes, this paper discusses its theoretical and practical implications, as well as recommendations for future research.

The purpose of this paper is to study the effects of sports sponsorship on brand equity using two managerially related outcomes: price premium and market share.

This study uses a best–worst discrete choice experiment (BWDCE) and compares the outcome with that of the purchase intention scale, an established probabilistic measure of purchase intention. The total sample consists of 409 fans of three soccer teams sponsored by three different competing brands: Nike, Adidas and Puma.

With sports sponsorship, fans were willing to pay more for the sponsor’s product, with the sponsoring brand obtaining the highest market share. Prominent brands generally performed better than less prominent brands. The best–worst scaling method was also 35% more accurate in predicting brand choice than a purchase intention scale.

Future research could use the same method to study other types of sponsors, such as title sponsors or other product categories.

Sponsorship managers can use this methodology to assess the return on investment in sponsorship engagement.

Prior sponsorship studies on brand equity tend to ignore market share or fans’ willingness to pay a price premium for a sponsor’s goods and services. However, these two measures are crucial in assessing the effectiveness of sponsorship. This study demonstrates how to conduct such an assessment using the BWDCE method. It provides a clearer picture of sponsorship in terms of its economic value, which is more managerially useful.

This paper aims to develop predictive methods, based on recurrent neural networks, useful to support facility managers in building maintenance tasks, by collecting information coming from a computerized maintenance management system (CMMS).

This study applies data-driven and text-mining approaches to a CMMS data set comprising more than 14,500 end-users’ requests for corrective maintenance actions, collected over 14 months. Unidirectional long short-term memory (LSTM) and bidirectional LSTM (Bi-LSTM) recurrent neural networks are trained to predict the priority of each maintenance request and the related technical staff assignment. The data set is also used to depict an overview of corrective maintenance needs and related performances and to verify the most relevant elements in the building and how the current facility management (FM) relates to the requests.

The study shows that LSTM and Bi-LSTM recurrent neural networks can properly recognize the words contained in the requests, thus correctly and automatically assigning the priority and predicting the technical staff to assign for each end-user’s maintenance request. The obtained global accuracy is very high, reaching 93.3% for priority identification and 96.7% for technical staff assignment. Results also show the main critical building elements for maintenance requests and the related intervention timings.

This work shows that LSTM and Bi-LSTM recurrent neural networks can automate the assignment process of end-users’ maintenance requests if trained with historical CMMS data. Results are promising; however, the trained LSTM and Bi-LSTM RNN can be applied only to different hospitals adopting similar categorization.

The data-driven and text-mining approaches can be integrated into the CMMS to support corrective maintenance management by facilities management contractors, i.e. to properly and timely identify the actions to be carried out and the technical staff to assign.

The improvement of the maintenance of the health-care system is a key component of improving health service delivery. This work shows how to reduce health-care service interruptions due to maintenance needs through machine learning methods.

This study develops original methods and tools easily integrable into IT workflow systems (i.e. CMMS) in the FM field.

Despite the wide availability of internet banking, levels of intention to use such facilities remain variable between countries. The purpose of this paper is to focus on e-banking in a country with low intention to use e-banking – Jordan – and to explain the slow uptake.

A quantitative method employing a cross-sectional survey was used as an appropriate way of meeting the research objectives. The survey was distributed to bank customers in Amman, Jordan, collecting a total of 328 completed questionnaires. SPSS and AMOS software were used, and multiple regression and artificial neural networks were applied to determine the relative impact and importance of e-banking predictors.

The statistical techniques revealed that several major factors, including perceived ease of use, perceived usefulness, security and reasonable price, stand out as the barriers to intention to use e-banking services in Jordan.

This study theorizes a series of implications on intention to use e-banking. It draws the attention of Jordanian banks to the full functionality of their e-banking systems, emphasizing positive safety features, which could contribute to changing negative customer perceptions. It also contributes to eliciting the theory of customer value among banks by focusing on how they should properly enhance their use of shared value. Moreover, it will present to managers how e-banking predictors can send meaningful and timely information to customers.