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The purpose of this paper is to use the data analysis method of sentiment analysis to improve the understanding of a large data set of employee comments from an annual employee job satisfaction survey of a US hospitality organization.

Sentiment analysis is used to examine the employee comments by identifying meaningful patterns, frequently used words and emotions. The statistical computing language, R, uses the sentiment analysis process to scan each employee survey comment, compare the words with the predefined word dictionary and classify the employee comments into the appropriate emotion category.

Employee responses written in English and in Spanish are compared with significant differences identified between the two groups, triggering further investigation of the Spanish comments. Sentiment analysis was then conducted on the Spanish comments comparing two groups, front-of-house vs back-of-house employees and employees with male supervisors vs female supervisors. Results from the analysis of employee comments written in Spanish point to higher scores for job sadness and anger. The negative comments referred to desires for improved healthcare, requests for increased wages and frustration with difficult supervisor relationships. The findings from this study add to the growing body of literature that has begun to focus on the unique work experiences of Latino employees in the USA.

This is the first study to examine a large unstructured English and Spanish text database from a hospitality organization’s employee job satisfaction surveys using sentiment analysis. Applying this big data analytics process to advance new insights into the human capital aspects of hospitality management is intriguing to many researchers. The results of this study demonstrate an issue that needs to be further investigated particularly considering the hospitality industry’s employee demographics.

This exploratory study, a Ph.D. dissertation completed at the University of Western Ontario in 2013, examines the materially embedded relations of power between library users and staff in public libraries and how building design regulates spatial behavior according to organizational objectives. It considers three public library buildings as organization spaces (Dale & Burrell, 2008) and determines the extent to which their spatial organizations reproduce the relations of power between the library and its public that originated with the modern public library building type ca. 1900. Adopting a multicase study design, I conducted site visits to three, purposefully selected public library buildings of similar size but various ages. Site visits included: blueprint analysis; organizational document analysis; in-depth, semi-structured interviews with library users and library staff; cognitive mapping exercises; observations; and photography.

Despite newer approaches to designing public library buildings, the use of newer information technologies, and the emergence of newer paradigms of library service delivery (e.g., the user-centered model), findings strongly suggest that the library as an organization still relies on many of the same socio-spatial models of control as it did one century ago when public library design first became standardized. The three public libraries examined show spatial organizations that were designed primarily with the librarian, library materials, and library operations in mind far more than the library user or the user’s many needs. This not only calls into question the public library’s progressiveness over the last century but also hints at its ability to survive in the new century.

This chapter focuses on the physical work environment, in particular, the possibilities and limitations of biophilic design in hotel office space. Biophilic design has already gained attention in directly influencing the guest experience, but little focus has been given to workspace. Traditionally, the hospitality industry places employees' office spaces in parts of the hotel not appropriate as guest space due to lack of daylight and windows. Many studies have shown that improving the workplace with nature-based features can play a role in increasing employee well-being. Data collected from employees with both extensive managerial and back-of-house hotel experience established that employees would welcome the opportunity to work in such an environment and currently find back-of-house design basic and lacking any aesthetically pleasing elements. An understanding of the obstacles in initiating such changes was shown as well as employee initiatives to improve work spaces. This initial exploratory study concludes that the needs of employees in terms of comfort, wellbeing, motivation and work satisfaction are often overlooked when considering back-of-house spaces. There is a general understanding and expectation that management needs to develop awareness and practical initiatives to address the deficits of the physical work environment. Biophilic design can be influential in promoting a calming and restorative environment at the workplace and thus positively impacting employee motivation and performance.

The purpose of this paper is to identify the key determinants of back-of-house-based food waste in food service outlets. This case study focuses on Delish restaurants, a well-known restaurant chain in Canada, and aims to provide a clear understanding of food service procurement, kitchen practices, cost management, risk mitigation, menu design and technical literacy needs in hospitality. Some recommendations for future studies are also provided.

The authors chose an exploratory case study design to guide our investigation on restaurants and food waste, based on Yin’s (1994) argument that case studies are the preferred strategy when the “why” questions is being posed and when the focus is on a modern occurrence within a real-life context. Such a design is particularly appropriate for understanding the details and complexity of a phenomenon and its design (Stake, 1995). In this study, research data were collected through multiple points. A semi-structured questionnaire was designed and adopted to collect primary data. The objective of the empirical segment is not to test the applicability of the existing approaches, but rather to study conceptual nuances related to the presented model. A survey study was focused on formal interviews onsite, in two different food service facilities (Restaurant A and B).

When considering food procurement, supplier relationships were found to not be significant for food waste prevention. Company-wide agreements with specific suppliers prevented individual chefs from creating alterations in their ordering to prevent waste. Order shorting was a somewhat common occurrence. However, most employees did not identify portion size as a large driver of waste. This conclusion conflicts somewhat with studies in this area (Kantor et al., 1997). If there was waste on a plate, it is much more likely to be the starches, which are low-cost items as opposed to high-cost proteins.

This research has its limitations, which present opportunities for future research. First, this case study is based on two case studies which have their weaknesses, especially in the reliability of data collection. In future, even though both restaurants had access to an earlier version of this case, a more structured analysis with performance indicators related to food waste would contribute to the internal validity of the study. The external validity of the proposed back-of-house-based determinant framework would benefit from being empirically tested with a larger sample, as the author cannot imply that this study’s findings are transferable to other food service operations.

From a managerial perspective, this study has merit. Arguably, the restaurant industry has a cumulative impact on the environment, economy and society as a whole. As more consumers in the Western world eat away from home, proper food management practices are desirable. Currently, few governments regulate or mandate measures to monitor restaurants’ sustainability claims and waste management. As consumer expectations change, the onus falls on food operations to validate and inform patrons on practices behind the scenes. Culinary kitchens are often not visible or accessible for some customers, or even obscure for others.

Strategies undertaken by management and chefs are reactive as opposed to proactive strategies. The reactive strategies are only able to identify waste a week after it has occurred through inventory checks. From this point, it may be impossible to identify the cause of the waste to prevent it from happening in the future. In addition, attribution to the cause may be laid on the incorrect individual, which will further exacerbate the social learning of the staff as a whole. Proactive strategies undertaken before waste occurs are more effective.

It must be noted that most of the literature on food waste management in casual-dining restaurants does not cover the key challenges found in the food industry. Most noticeable in the review is that there are very few studies in the literature that include food waste management practices linked to distribution management. This area of interest within the hospitality industry has not been well-developed in recent years and requires more attention.

The rapid growth in volume and value of on-demand restaurant food delivery, accelerated by the COVID-19 pandemic, is causing a paradigm shift in the food service sector. However, there is a lack of hospitality management research into this emerging phenomenon. To address this gap, this paper defines and develops a novel conceptual model and typology and proposes a research agenda for ghost production in the context of food service.

This paper uses the Servuction model to explore, define and model the radical separation between food service production sites, points of sale and consumer interaction from the perspective of on-demand restaurant food delivery. A novel typology is developed and illustrated with eight industry examples from the UK and an accompanying cost benefit analysis. Future research priorities are identified.

In the hospitality literature, little attention has been paid to changes on-demand restaurant food delivery brings to production and business models of food service organisations, resulting in significant gaps between food service practice and theory. The knock-on effects to stakeholders include increased convenience for customers, uncertain employment status of riders and, for restaurants, striking a balance between capturing new markets and losing control of the customer. Additionally, for aggregators, there is a lack of profitability in existing models, despite holding the balance of power (and data).

The concept of “ghost production” and its associated typology is novel and offers a contribution to hospitality management literature by defining the term, scope and scale of this new phenomenon. Practical implications are proposed.

This study aims to examine the utilization of Front of House (FOH) and Back of House (BOH) technology applications in different types of US restaurants along with their level of IT management and explore the importance of these technology applications to restaurant operations.

Survey data were collected from 500 randomly selected restaurant technology managers who subscribe to Hospitality Technology Magazine. The sample group represented 67,299 restaurant units. Data analysis was organized into three parts (descriptive, exploratory factor analysis, and independent samples t-test).

For FOH, the top-five point of sale (POS) technologies used are POS hardware, touchscreen, POS software, gift card integration and integrated credit card swipe into POS. At the BOH, the top-five POS technologies used are accounting/financial software, enterprise reporting, inventory management software, kitchen printers and company intranet.

This is one of the first studies to include a variety of technologies used in restaurants. Most existing studies focus on a single technology or a small number of them. However, this study provides an overall perspective on a variety of restaurant technologies from FOH to BOH. It also includes mobile POS technologies.

本论文旨在研究美国各种类型饭店的前厅（FOH）和后厨（BOH）的各种科技应用系统以及其信息科技管理水平, 此外, 本论文还分析了这些科技应用对于饭店运营的重要性。

本论文采用问卷采样形式, 从订阅了酒店科技杂志（Hospitality Technology Magazine）的饭店科技经理中随机抽取500名经理为问卷样本, 此样本代表了67,299家饭店。数据分析方法共分为三个部分（描述型、因子分析、和独立样本t检定）。

对于FOH而言, 排名前五的POS科技包括POS硬件、触摸屏、POS软件、礼品卡管理、和信用卡与POS系统链接。对于BOH而言, 排名前五的POS科技包括会计/财务软件、企业报表、库存管理软件、厨房打印机、和公司内网。

本论文是仅存的几篇研究多样饭店科技的文章之一。大多数文章只是关注一种或者少数几种科技。然而, 本论文提供从FOH到BOH多种饭店科技的分析研究, 包括移动POS科技等。

关键词 饭店科技、前厅科技、后厨科技、移动POS

The rapid growth of artificial intelligence is disrupting various industries, including the tourism sector. This paper aims to outline the applications, benefits and risks of ChatGPT and large language models in general on tourism. It also aims to establish a research agenda for investigating the implications of these models in tourism.

Drawing on the available literature on ChatGPT, large language models and artificial intelligence, the paper identifies areas of application of ChatGPT for several tourism stakeholders. Potential benefits and risks are then considered.

ChatGPT and other similar models are likely to have a profound impact on several tourism processes. They will contribute to further streamline customer service in front-of-house operations and increase productivity and efficiency in back-of-house operations. Although negative consequences for human resources are expected, this technology mostly enhances tourism employees.

To the best of the authors’ knowledge, this is one of the first studies that explore the potential implications of ChatGPT in tourism and hospitality.

人工智能的快速发展正在颠覆包括旅游业在内的各个行业。 本文旨在概述ChatGPT和大型语言模型在旅游业中的应用、好处和风险。同时, 旨在建立一个研究议程, 以调查这些模型在旅游业中的影响。

本文借鉴了关于ChatGPT、大型语言模型和人工智能的现有文献, 确定了ChatGPT在几个旅游利益相关者中的应用范围, 然后考虑了潜在的好处和风险。

ChatGPT和其他类似的模型可能会对一些旅游过程产生深远的影响。它们将有助于进一步简化前台业务的客户服务, 并提高后台业务的生产力和效率。虽然对人力资源的负面影响是可以预见的, 但这项技术主要是增强旅游业的员工能力。

这是首批探索ChatGPT在旅游业和酒店业潜在影响的研究之一。

A partir de la bibliografía disponible sobre ChatGPT, grandes modelos lingüísticos e inteligencia artificial, este artículo identifica las posibles áreas de aplicación de ChatGPT y actores que se pueden beneficiar. De igual forma, se examinan los posibles beneficios y riesgos.

El rápido crecimiento de la inteligencia artificial está afectando diversas industrias, incluyendo la del turismo. Este artículo pretende esbozar las aplicaciones, ventajas y riesgos de ChatGPT, así como los grandes modelos lingüísticos, en turismo. También pretende establecer una agenda de investigación para estudiar las implicaciones de estos modelos en el turismo.

Es probable que ChatGPT y otros modelos similares tengan un profundo impacto en varios procesos turísticos, contribuyendo a racionalizar, aún más, el servicio al cliente en las operaciones de front-of-the-house y aumentando la productividad y eficiencia en el back-of-the-house. Aunque se prevén consecuencias negativas para los recursos humanos, esta tecnología servirá sobre todo para potenciarlos.

Éste es uno de los primeros estudios que exploran las implicaciones potenciales de ChatGPT en el turismo y la hostelería.

The purpose of this paper is to assess the sustainable food procurement (SFP) of members of the British and Irish Association of Zoos and Aquariums (BIAZA). It also considered the inconsistencies between their animal and human food supply chains, as well as between their procurement priorities and practices.

A quantitative, cross-sectional approach was employed, involving the use of a web-based questionnaire to gather data from 41 BIAZA members across 21 indicators of food sustainability. The results were considered within a sustainable supply chain management (SSCM) framework.

There was considerable variation amongst the issues considered by zoos during the SFP process for their animal and human food operations. For both, local expenditure, nutritional content and packaging reduction were some of the highest scoring indicators in practice and as priorities. The overall levels of SFP were found to be equal between the human and animal food supply chains. Significantly low levels of inconsistency were found between the two, practically and in terms of procurement aspirations. Within both supply chains, there was also very few significant gaps between procurement priorities and actions.

The originality of this study lies in its comparison of procurement practices and priorities for two contemporaneous but distinct food supply chains. It demonstrates that it is possible to have a high overall degree of consistency between two parallel, but contrasting, supply chains, as well as between procurement priorities and priorities. It will be of use in SSCM, particularly within values-led organisations.

This article identifies three main trends in service operations. It identifies how these have been applied to service industries in general and to the food service sector in particular. The relationship between these and specific industry sectors is identified. The application and implementation of these trends in food service organisations is discussed in relation to the organisational culture, leadership style and systems that such firms adopt.

This study examined the impact of corporate social responsibility (CSR) on employee organizational commitment (EOC) within the gaming industry. It was predicted that a company's CSR would strengthen the relationship of EOC and thus improve employee loyalty to the organization. Gender, tenure, and position of employees within the company were considered as variables moderating the relationship between CSR and EOC. To investigate these relationships, this study analyzed data from a gaming organization using a proprietary employee survey and structural equation modeling (SEM). Results determined that as employee attitudes toward CSR becomes positive, employees will have a positive affective commitment (AC)and continuance commitment (CC) toward the company. Further, as employees' affective and CC toward the company becomes positive, it strengthens organizational loyalty (OL). Results of this study support that a gaming organization's efforts to develop CSR could have a positive effect on EOC, and thus loyalty to the organization.