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The objectives of this paper are firstly to investigate the relationship between smart farming and sustainable development goal (SDG) 2 i.e. zero hunger. Secondly, the paper applies SWOT analysis to better understand the strengths, weaknesses, opportunities and threats of implementing smart farming in Southeast Asia (SEA). Finally, the paper provides research and practical implications for smart farming in SEA.

This study applies SWOT analysis to evaluate the strengths, weaknesses, opportunities and threats of smart farming in SEA in its goal to achieve zero hunger. The SWOT analysis is performed by conducting a comprehensive review of past and relevant literature on smart farming and its relationship with SDG 2. The use of SWOT analysis provides a foundation to identify the desired future position, identifies existing issues and better informs leaders and policymakers on how to resolve the weaknesses and take advantage of the opportunities available.

Smart farming has shown great promise in increasing food production sustainably whilst maintaining a high standard of food safety and quality. Smart farming offers a path towards achieving SDG 2 by providing innovative ways into a more profitable, resilient and green agri-food system. It is also found that a regional approach towards ensuring food security should be taken in SEA due to the dependency of the states on one another for the supply of food and agricultural products. For smart farming to take off in the region, a stronger government initiative is needed to encourage Science Technology Engineering and Mathematics (STEM) learning to equip the local workforce.

This study contributes to the literature by highlighting the role of smart farming in achieving zero hunger. This may assist policymakers to understand the implications of adopting smart farming in the region when compared to other competing trade locations. In addition, this study uses SWOT analysis to evaluate internal and external factors which may assist in formulating strategies by allowing researchers to gain insights and to think of possible solutions for existing or potential problems.

The purpose of this study is to identify the factors that influence the development of service robots, and to apply a service innovation strategic mindset to the hotel industry in Taiwan.

A mixed-methods approach, combining an expert panel and semi-structured interviews using a SMART SWOT ranking survey, was applied to understand the perspectives of hotel owners and robotics experts.

Fifty-three items were collected regarding the demand side of the hospitality market, showing that the Taiwan hospitality industry has good potential to implement service robots. Sixty-one items on the supply side of business were collected, showing that this robotics service can help hotels handle seasonal employment and labor utilization. The SWOT analysis identifies “The fun and curiosity aroused in consumers can enhance the promotion of service robots”, “Lack of talent in system integration”, “Taiwan’s aging society can increase the demand for service robots” and “China and South-east countries have aggressively poached talent in the global robotics market” as key issues.

Few studies have investigated robotics service for hotels using the six-dimensional service innovation model. This model helps identify six factors and implies that this new service concept can position hotels to better compete by using IT and relationship marketing strategies.

This study aims to build a comprehensive knowledge structure of smart hospitality and tourism research.

Content analysis is carried out on the themes of pertinent research from the perspectives of customers, suppliers, technology and policymakers.

Results show that over half of the reviewed articles are carried out from the perspective of customers, while those of suppliers, technology and policymakers are less discussed. The unbalanced number of articles reveals an evident mismatch between the supply and demand.

Findings provide theoretical and practical implications from different perspectives. Collaboration among various stakeholders is also advocated to achieve sustainable and balanced development of the smart hospitality and tourism industry.

This study contributes to smart hospitality and tourism research through an in-depth review of relevant literature. Based on the findings, the identified research gaps provide potential directions for future knowledge development.

The purpose of this article is to introduce the research field of management tools to communication management scholarship and open up new avenues for the field.

The first part examines established knowledge from the strategic management literature about management tools as a means to support and facilitate organizational decision-making. The second part reports on a survey among 125 communication practitioners in corporate communication departments about the use of 32 tools for the analysis, planning, implementation and evaluation of communication.

The study sheds light on the perceived relevance and benefits of tools, as well as on knowledge and satisfaction and on general patterns of tool use. The findings demonstrate that tools are gaining in importance, but there is a lack of understanding, training and documentation of tools. Tools for planning and implementing communication are most widely spread, reflecting the operational focus of corporate communication.

Practitioners find value in the compilation of the most popular tools and implications on how to reflect about tool usage and outcomes.

The article provides directions for future research and reflects about tools as a means to bridge the divide between theory and practice.

Purpose: This paper presents a review of the current state and potential capabilities for application of robots, artificial intelligence and automated services (RAISA) in hotel companies.

Design/methodology/approach: A two-step approach was applied in this study. First, the authors make a theoretical overview of the robots, artificial intelligence and service automation (RAISA) in hotels. Second, the authors make a detailed overview of various case studies from global hotel practice.

Findings: The application of RAISA in hotel companies is examined in connection with the impact that technology has on guest experience during each of the five stages of the guest cycle: pre-arrival, arrival, stay, departure, assessment.

Research implications: Its implications can be searched with respect to future research. It deals with topics such as how different generations (guests and employees) perceive RAISA in the hotel industry and what is the attitude of guests in different categories of hotels (luxury and economy) towards the use of RAISA. It also shows what is the attitude of different types of tourists (holiday, business, health, cultural, etc.) and what kinds of robots (androids or machines) are more appropriate for different types of hotel operations.

Practical implications: The implications are related to the improvement of operations and operational management, marketing and sales, enhancement of customer experience and service innovation, training and management.

Originality/value: This book chapter complements and expands research on the role of RAISA in the hotel industry and makes some projections about the use of technologies in the future.

This paper aims to review the extant hospitality and tourism literature on the state of robotics and artificial intelligence (AI) in the service industry. The aim was to highlight the current areas of research on this emerging topic and identify areas for future application and study.

A list of hospitality and tourism journals was used to identify articles related to AI and robotics using the terms AI, robots, robotics, hospitality and tourism, and several combinations thereof. Additional sources were identified through the literature reviews from the identified works.

The findings revealed several studies on the current state of robotics and AI in hospitality and tourism. Additional research examines and discusses implications for internal and external customer service, legal and ethical issues and theory.

This paper provides a compilation of the current studies that examine the impact of robotics and AI in hospitality and tourism. It offers scholars an overview of the current knowledge in the field on this rapidly emerging and evolving topic.

本文审阅了有关服务行业中机器学和智能技术（AI）发展的相关文献。其研究目的在于强调有关这个新兴话题的研究领域和指出未来研究方向。

本文样本包括有关AI和机器学的期刊文献，关键搜索词包括AI、机器人、机器学、酒店管理、旅游，以及几项关键词组合。本文还通过文献综述审阅了多个数据源。

研究结果描述了目前酒店旅游行业机器学和AI有关领域的研究状态。此外本文还研究和提出对于内部和外部客户服务、法律伦理问题、以及理论等领域做出研究启示。

本文对目前有关机器学和AI酒店旅游学术研究进行系统梳理。为学者对其相关领域的现状提供全局视角，并且显示这个新兴话题的迅速发展。

文献综述、AI、机器学、酒店科技

Improvements to health and safety at work constantly involve organizational changes (OCs). However, the OC initiatives often fail at achieving their intended goals despite efforts to draw knowledge from various disciplines, such as sociology, psychology and information sciences, to guide the change implementation. This paper proposes a temporality approach to manage the resistance during an OC project based on the capitalization of the actors' behaviors (i.e. alignment/resistance) for successful OC implementation.

Employees in an industrial company (N = 186) undergoing an OC answered a questionnaire survey. The statistical analysis approach was used to measure the influence of the constructs of the proposed temporality capitalization approach on the OC conduct.

Results indicate that the considered constructs have positive and significant correlations with OC development. It has also been found that the employees' alignment is highly correlated with the opportunities they might gain from the OC.

The proposed temporality capitalization approach shows that providing the employees with clear objectives is not sufficient to support the change, and it is suggested that the change management has to move a step further and seek to target the perspectives of the employees to energize them around the OC and maximize their alignment.

In this paper, change management is approached through the temporality capitalization that confirms the importance of monitoring the change development through the alignment. In other terms, the curve of the adaptation of the change receivers matters and should attract more attention rather than the change implementation speed.

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