Search results

Reviews the development of approaches to reservations management in the hotel industry alongside models of the stages of development in information technology (IT). Suggests that strategic success and operational implementation have been built on the prevailing IT “era”. Explores the future strategic potential of reservations management. Hotel operators need to understand how technology changes the “rules of the game” and identify alternative strategies for gaining competitive advantage. In reality, strategic implementation is either “service‐led” or “IT‐led”.

Traditionally vision-focused, tourism effectively ignores the other senses. With tourists travelling to “see” places, an understanding of how people with vision impairment or blindness (PwVIB) experience tourism is currently lacking. Borrowing from psychology, this viewpoint proposes innovative research approaches to address this knowledge gap, clarifying how PwVIB psychologically experience tourism, enabling tourism professionals to design meaningful and appropriate tourism products and services for this market.

Reviewing extant literature on the tourist experience of PwVIB, this study highlights the existing knowledge gaps regarding understanding how PwVIB experience tourism, proposing alternative theoretical approaches and methodologies for use in future studies.

Alternative research approaches, borrowed from psychology, are proposed to address this knowledge gap and clarify our understanding of how PwVIB experience tourism, serving as a call to action for researchers to attack this issue in innovative ways. An example study, using a mental imagery approach is discussed by way of illustration of how such techniques could be applied.

Highlighting a gap in the understanding of tourist experiences of PwVIB, this viewpoint proposes the adoption of innovative research methods from psychology as a means of delving into the cognitive and conceptual processes involved, offering a new perspective on how to address this important and topical issue and contribute to the design of inclusive and meaningful tourism experiences for this demographic.

Research analyzing online travelers’ reviews has boomed over the past years, but it lacks efficient methodologies that can provide useful end-user value within time and budget. This study aims to contribute to the field by developing and testing a new methodology for sentiment analysis that surpasses the standard dictionary-based method by creating two hotel-specific word lexicons.

Big data of hotel customer reviews posted on the TripAdvisor platform were collected and appropriately prepared for conducting a binary sentiment analysis by developing a novel bag-of-words weighted approach. The latter provides a transparent and replicable procedure to prepare, create and assess lexicons for sentiment analysis. This approach resulted in two lexicons (a weighted lexicon, L1 and a manually selected lexicon, L2), which were tested and validated by applying classification accuracy metrics to the TripAdvisor big data. Two popular methodologies (a public dictionary-based method and a complex machine-learning algorithm) were used for comparing the accuracy metrics of the study’s approach for creating the two lexicons.

The results of the accuracy metrics confirmed that the study’s methodology significantly outperforms the dictionary-based method in comparison to the machine-learning algorithm method. The findings also provide evidence that the study’s methodology is generalizable for predicting users’ sentiment.

The study developed and validated a methodology for generating reliable lexicons that can be used for big data analysis aiming to understand and predict customers’ sentiment. The L2 hotel dictionary generated by the study provides a reliable method and a useful tool for analyzing guests’ feedback and enabling managers to understand, anticipate and re-actively respond to customers’ attitudes and changes. The study also proposed a simplified methodology for understanding the sentiment of each user, which, in turn, can be used for conducting comparisons aiming to detect and understand guests’ sentiment changes across time, as well as across users based on their profiles and experiences.

This study contributes to the field by proposing and testing a new methodology for conducting sentiment analysis that addresses previous methodological limitations, as well as the contextual specificities of the tourism industry. Based on the paper’s literature review, this is the first research study using a bag-of-words approach for conducting a sentiment analysis and creating a field-specific lexicon.

论可推广性的情感分析法以创建酒店字典：以TripAdvisor酒店评论为样本的大数据分析

对于在线游客评论的研究在过去的几年中与日俱增, 但是仍缺乏有效方法能在有限的时间喝预算内提供终端用户价值。本论文开发并测试了一套情感分析的新方法, 创建两套酒店相关的词库, 此方法超越了标准词典式分析法。

研究样本为TripAdvisor酒店客户评论的大数据, 通过开发崭新的有配重的词库法, 来开展两极式情感分析。这个崭新的具有配重的词库法能够呈现透明化和可复制的程序, 准备、创建、并检验情感分析的词条。这个方法用到了两种词典（有配重的词典L1和手动选择的词典L2）, 本论文通过对TripAdvisor大数据进行使用词类划分精准度, 来检测和验证这两种词典。本论文采用两种热门方法（公共词典法和复杂机器学习算法）来对比词典的准确度。

精确度对比结果证实了本论文的方法, 相较于机器学习算法, 显著地超越了以字典为基础的方法。研究结果还表明, 本论文的方法可以就预测用户情感趋势进行推广。

本论文开发并验证了一项方法, 这种方法通过创建可信的词典进行大数据分析, 以判定用户情感。本论文创建的L2酒店词库对分析客人反馈是可靠有用的工具, 这个词库还能帮助酒店经理了解、预测、以及积极相应客人的态度和改变。本论文还提出了一项可以了解每个用户情感的简易方法, 这项方法可以通过对比的方式来检测和了解客人不同时间的情感变化, 以及根据其不同背景和经历的不同用户之间的变化。

本论文提出并检测了一项新方法, 这项情感分析方法可以解决之前方法的局限并立脚于旅游行业。基于文献综述, 本论文是首篇研究, 使用词库法来进行情感分析和创建特别领域词典的方式。

The purpose of this paper is to segment the Australian organic food consumer market.

A nationwide online survey was conducted for collecting data about the Australian organic food consumer market. Various statistical techniques were used for analyzing the data and identifying market segments.

The key market segmentation variables that significantly characterize the Australian organic food consumer market include age, income, education, metro/city-vs-rural/region, purchase frequency, weekly expenditure, consumption period, retail outlets, perceived values, self-image, and perceptions about organic foods.

Australia, like many other countries, is an emerging market for the organically produced and marketed food products. The current review unfolds the fact that there are limited studies in market segmentation, and no study in the Australian context, in particular. The current paper contributes to the organic food market segmentation literature and provides several implications for market segmentation strategy.

Although the generation of social value is the focus of social entrepreneurship, little research attention is paid on how social value and transformation can be created. By adopting a market approach, this study aims to develop a framework showing how social enterprises in tourism/hospitality can generate social value and transformation.

A thorough literature review revealed that a market approach is an appropriate lens for understanding social entrepreneurship. Consequently, a framework based on “learning with the market” is proposed as a useful tool for identifying, managing and also creating (new) opportunities for social ventures. The justification and the theoretical underpinnings of the market-based framework are further supported by discussing various other theories and concepts.

The framework identifies three capabilities that social entrepreneurs need to develop for generating social value and transformation: network structure, market practices and market pictures. Several examples from tourism and hospitality social enterprises are analyzed for showing the applicability and usefulness of the framework.

The paper proposes a conceptual framework as well as several research directions for further testing, refining and expanding it.

By applying the framework on several tourism and hospitality social enterprises, the paper provides practical implications about the capabilities that social enterprises should develop for engaging with other market actors to identify and exploit (new) market opportunities for social value co-creation, and influence market plasticity for forming new markets and driving social change.

The suggested framework identifies the capabilities and the ways in which (tourism/hospitality) social enterprises can engage with and form markets for co-creating social value and escalating their social impacts through social transformation.

The paper provides a new marketing approach (that overcomes the limitations of traditional economic theories) for understanding how social enterprises can shape, manage and engage with social markets for generating social value.

This paper aims to provide a comprehensive review of research on robotics in travel, tourism and hospitality, and to identify research gaps and directions for future research.

This paper analyzes 131 publications published during 1993-2019, identified via Scopus, Web of Science, ResearchGate, Academia.edu and Google Scholar. It offers quantitative analysis of frequencies and cross-tables and qualitative thematic analysis of the publications within each of seven identified domains.

The paper identifies “Robot,” “Human,” “Robot manufacturer,” “Travel/tourism/hospitality company,” “Servicescape,” “External environment” and “Education, training and research” as the research domains. Most research studies are dedicated to robots in restaurants, airports, hotels and bars. Papers tend to apply engineering methods, but experiments and surveys grow in popularity. Asia-Pacific countries account for much of the empirical research.

The analysis was limited to publications indexed in four databases and one search engine. Only publications in English were considered. Growing opportunities for those who are anxious to publish in the field are identified. Importantly, emerging research is branching out from the engineering of robots to the possibilities for human/robot interactions and their use for service providers, opening up new avenues of research for tourism and hospitality scholars.

The paper identified a myriad of application areas for robots across various tourism and hospitality sectors. Service providers must critically think about how robots affect the servicescape and how it needs to be adjusted or re-imagined to ensure that robots and employees can augment the service experiences (co-)created within it.

This is the first study to systematically analyze research publications on robotics in travel, tourism and hospitality.

本论文全面评论了在旅游酒店业中的机器人技术的研究, 并指出文献缺口和未来研究方向。

本论文分析了在1993年至2019年发布在Scopus、Web of Science、ResearchGate、Academia.edu、和Google Scholar的131篇文献。本论文对文献做了一系列定量分析, 包括频率分析、交叉表、定性文本分析、在七大确立的领域中对每个领域的文献进行分析。

本论文确立了七个研究领域：机器人、人类、机器生产者、旅游酒店企业、Servicescape、外部环境、和教育培训和研究。大多数文献集中在对饭店、机场、酒店、和酒吧的机器人研究。文献往往采用工程手段进行研究, 但是实验和问卷方式正在呈增长趋势。亚太国家占据大多数实证研究作品。

本论文样本库局限于四个数据库和一个搜索引擎。只有英文文献被采样。本论文为对相关领域感兴趣的学者指出研究方向。重要的是, 本论文发现用工程角度研究机器人的文献有了分支, 有一小部分文献开始着手研究人/机器人交互和其在服务过程中的使用的研究, 这对旅游酒店学者提供新研究视角。

本论文指出了一系列有关旅游酒店领域中机器人的应用。服务商必须重视机器人如何影响Servicescape以及如何审视机器人与人的交互, 确保其与员工加强消费者的服务体验（价值共创）。

本论文是首篇系统评论旅游酒店领域中机器人研究文献的文章。

关键词：机器人、机器人经济、机器人设计、机器人使用、Servicescape、rService、人-机器人交互、研究议程

In order to face the new competitive scenario, Italian universities are involved in a change process and are trying to adopt an entrepreneurial approach to better serve their customers/students. The paper aims to assess university performance by testing student satisfaction. It tries to provide universities with some solutions to improve its performance.

The case of the University of Bari has been analysed by interviewing a random (but well stratified) sample of students in order to test their satisfaction concerning services provided and quality perceived. Reasons why students decide to enrol at the University of Bari are also investigated.

Universities have to concentrate their efforts on the improvement of quality of teaching and non‐teaching services, in order to promptly respond to the target, and foster a stronger relationship with surrounding economic and productive systems.

Universities need to adopt a customer centric approach. Future research should analyse the reform period experienced by the Italian University system, in order to investigate student satisfaction concerning recent changes. Moreover, a cross‐country analysis of student satisfaction, through the servqual questionnaire, would be interesting.

Student satisfaction at the University of Bari is higher for working students that are not interested in “additional” services. On the contrary, several improvements are perceived as urgent concerning non‐core services provided, in which regular students are very interested.

This paper provides a wide analysis of the services perception tested and viewed through student eyes.

The study seeks to examine the transformation of tacit knowledge (TK) into business performance by developing a two‐stage framework involving two processes: TK utilization and externalization.

Owing to the limited understanding and interest expressed by hotel professionals through a preliminary telephone survey, a mail survey targeting a representative sample of solely four‐ and five‐star hotels was conducted. Still, a small number of responses were gathered, and so additional telephone interviews were also conducted with two hotel managers for gathering more qualitative information.

Findings revealed an increased unfamiliarity of hotels with TK, which in turn eliminated their activities for externalizing and utilizing TK and enhancing business performance. TK externalization was reported as critically important to be first achieved, as TK utilization builds and uses the potential TK stocks that are created through TK externalization. Respondents also mainly used outcome‐oriented metrics for assessing TK externalization processes, ignoring process‐oriented metrics evaluating the effective implementation of TK processes.

Despite the small number of responses, findings imply an increased urgency to raise industry‐wide awareness regarding the strategic role and importance of TK for improving business performance. However, enabling TK externalization processes are deemed as an essential first step, before establishing infrastructures and providing organizational incentives for motivating TK utilization.

Most studies focus on examining TK's characteristics and its utilization in different business processes, while fewer studies explore TK transformation into enhanced business performance. This study sheds light on such issues by proposing a two‐stage framework showing how to both manage and measure performance of TK utilization and externalization processes for enhancing business performance.

Destination marketing systems (DMS) represent a vital inter-organisational information system (IOIS) for supporting the collaborative e-marketing strategies of tourism firms and the competitiveness of tourism destinations. However, many DMS have failed to deliver the expected outcomes, while the performance measurement of DMS has not been thoroughly investigated in the literature so far. The study synthesises research from the fields of DMS, IOIS and collaborative practices for investigating the perceptions of various tourism DMS stakeholders about the evaluation of DMS performance. The paper aims to discuss these issues.

The study conducted a nation-wide survey for measuring the perceptions of various tourism DMS stakeholders in Greece about the importance of the roles that DMS should serve as well as the items that should be used for measuring the performance of these DMS’ roles.

The findings showed that the public and private stakeholders held different perceptions about the roles of DMS as well as about the metrics that need to be used for evaluating DMS performance. The findings also showed that the perceptions that stakeholders hold about the roles of the DMS influence their perceptions about the performance evaluation of DMS.

The findings are based on evaluating a specific type of IOIS and sector/context. Thus, caution is required in generalising the results to other types of IOIS and social/environmental contexts.

The study highlighted that the performance and success of DMS, and of IOIS projects in general, require the nurturing of a collaborative culture and the co-ordination of the various stakeholders’ perceptions and interests.

The study addresses the gap in DMS performance evaluation and it contributes to the literature about IOIS evaluation by adopting a stakeholders approach.