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The advent of robotics and automation technologies was augmenting firm initiatives to attain competitive advantage. From a resource-based view perspective, human-led capabilities were important to operate with technology resource base of an organisation. This was evident for both manufacturing as well as services firms. However, employees as an individual confronted technology anxiety (TA) when they were working with new technologies like robotics and automation technologies. Thus, the purpose of this paper was to examine the factors causing TA.

Given the novelty of this research study context a qualitative exploratory method was designed. For this research study, the data collected was through in-depth interviews conducted through open-ended semi-structured questionnaire. The data was collected from 62 frontline employees who were working with robotics and automation-based technologies in manufacturing firms. The authors applied thematic content analysis on collected data for analysis.

Technology anxieties ranged from fear of complete inability to learn new technologies, failure to learn new technologies properly, incapability to implement the learned skills and job loss to younger technology savvy employees. Finally, there was anxiety over job loss as automation and robotic technologies over the years was expected to erode the employment of human workforce altogether.

The author undertook the research study based upon the TA perspective advocated by Meuter et al. (2003) and Yang and Forney (2013). Furthermore, this research study in the context of robotics and automation-based technologies in the manufacturing sector applied the mental accounting theory (Thaler, 1999) and technology self-efficacy perspective (Huffman et al., 2013).

Managers involved in the implementation of robotics and automation-based technologies were required to address TA of employees. Fear of job loss had to be addressed specially in a country like India. Anxiety regarding the ability to learn to work with robotics and automation technologies also was needed to be addressed by managers through adequate training and time for preparation. The benefits of robotics and automation-based technologies for employees as well as organisations have to be ascertained through open communication between the management and the frontline employees.

To the best of the authors’ knowledge, this was one of the first empirical research studies which deliberated regarding TA in the context of frontline workers working with robotics and automation-based technologies in the manufacturing sector. This research study was based upon a combination of varied perspectives ranging from micro foundations theory, TA, mental accounting theory and technology self-efficacy perspective.

Improved production with quality, safety, and security is the biggest challenge of the food industry. Modern technologies, including robotics and automation systems, can help to cope with such issues. This chapter gives a brief view of robotics and automation for the sustainable food industry along with packaging, warehousing, distribution, marketing, and consumer services. It describes the recently implemented solutions of robotic automation in different supply chain operations and various food commodities. The benefits of robotic and automation technology for perishable and semi-perishable items have also been covered. The present research may assist the food industry professionals, supply chain managers, and academicians in implementing automation and robotics in the food industry.

This study presents the results of an assessment of the barriers that can hinder the deployment of robotics and automation systems in developing countries through the lens of the Nigerian construction industry.

A scoping literature review was conducted through which barriers to the adoption of robotics and automation systems were identified, which helped in the formulation of a questionnaire survey. Data were obtained from construction professionals including architects, builders, engineers and quantity surveyors. Retrieved data were analyzed using percentages, frequencies, mean item scores and exploratory factor analysis.

Based on the mean scores, the top five barriers were the fragmented nature of the construction process, resistance by workers and unions, hesitation to adopt innovation, lack of capacity and expertise and lack of support from top-level managers. Through factor analysis, the barriers identified were categorized into four principal clusters namely, industry, human, economic and technical-related barriers.

This study provided a good theoretical and empirical foundation that can be useful to construction industry stakeholders, decision-makers, policymakers and the government in mapping out strategies to promote the incorporation and deployment of automation and robotics into the construction industry to attain the safety benefits they offer.

By identifying and evaluating the challenges that hinder the implementation of robotics and automation systems in the Nigerian construction industry, this study makes a significant contribution to knowledge in an area where limited studies exist.

Briefly reviews previous literature by the author before presenting an original 12 step system integration protocol designed to ensure the success of companies or countries in their efforts to develop and market new products. Looks at the issues from different strategic levels such as corporate, international, military and economic. Presents 31 case studies, including the success of Japan in microchips to the failure of Xerox to sell its invention of the Alto personal computer 3 years before Apple: from the success in DNA and Superconductor research to the success of Sunbeam in inventing and marketing food processors: and from the daring invention and production of atomic energy for survival to the successes of sewing machine inventor Howe in co‐operating on patents to compete in markets. Includes 306 questions and answers in order to qualify concepts introduced.

This study aims to develop a framework to identify and prioritize the key factors in automation and artificial intelligence (AI) implementation in the hospitality and tourism industry.

This paper used the analytic hierarchy process, a multi-criteria decision-making method, to prioritize the factors influencing automation and AI implementation. This paper developed a model with five criteria (human knowledge, services, robotics applications, internal environment and institutional environment) and 23 sub-criteria obtained from previous studies. This paper designed a questionnaire in the form of pairwise comparisons based on the proposed hierarchical structure. This paper used a nine-point ranking scale to show the relative significance of each variable in the hierarchy and tested the model among staff from 35 five-star hotels and top-rated tourism agencies in the United Arab Emirates.

Human knowledge, services and robotics applications were the most significant factors influencing automation and AI implementation. Practitioners and researchers in the hospitality and tourism industry could apply the proposed framework to develop sustainable strategies for implementing and managing automation and AI. The proposed framework may also be useful in future studies examining AI implementation in the hospitality and tourism industry.

This paper developed a framework for policymakers that identifies and could help to overcome some of the challenges in implementing automation and AI in the hospitality and tourism sector around the world. The results provide an agenda for future research in this area.

酒店业和旅游业中的自动化和人工智能

摘要

本研究旨在开发一个框架, 以确定和优先考虑酒店业和旅游业自动化和人工智能（AI）实施的关键因素。

我们使用层次分析法, 一种多准则决策方法, 对影响自动化和人工智能实施的因素进行优先排序。我们建立了一个包含五个标准（人类知识、服务、机器人技术应用、内部环境和制度环境）的模型, 并从先前的研究中获得了23个子标准。基于所提出的层次结构, 我们设计了一份以成对比较的形式进行的问卷调查。我们使用九点评分量表来说明每个标准或子标准在层级中的相对重要性, 并在阿联酋35家五星级酒店和顶级旅游机构的员工中测试了该模型。

人类知识、服务和机器人应用是影响自动化和人工智能实施的最重要因素。酒店业和旅游业的从业人员和研究人员可以应用拟议的框架来制定实施和管理自动化和人工智能的可持续战略。拟议的框架也可能有助于未来研究人工智能在酒店业和旅游业的实施。

我们为决策者开发了一个框架, 用来识别并帮助其克服全球酒店业和旅游业实施自动化和人工智能方面的一些挑战。研究结果为今后该领域的研究提供了一个议程。

Automatización e inteligencia artificial en hostelería y turismo

Resumen

Este estudio tuvo como objetivo desarrollar un marco para identificar y priorizar los factores clave en la implementación de la automatización y la inteligencia artificial (IA) en la industria hotelera y turística.

utilizamos el proceso de jerarquía analítica, un método de toma de decisiones de varios criterios, para priorizar los factores que influyen en la automatización y la implementación de la IA. Desarrollamos un modelo con cinco criterios (conocimiento humano, servicios, aplicaciones robóticas, entorno interno y entorno institucional) y 23 subcriterios obtenidos de estudios previos. Diseñamos un cuestionario en forma de comparaciones por pares basados en la estructura jerárquica propuesta. Usamos una escala de clasificación de nueve puntos para mostrar la importancia relativa de cada variable en la jerarquía y probamos el modelo entre el personal de 35 hoteles de cinco estrellas y las agencias de turismo mejor calificadas en los Emiratos Árabes Unidos.

el conocimiento humano, los servicios y las aplicaciones robóticas fueron los factores más importantes que influyeron en la automatización y la implementación de la inteligencia artificial. Los profesionales e investigadores de la industria hotelera y turística podrían aplicar el marco propuesto para desarrollar estrategias sostenibles para implementar y gestionar la automatización y la IA. El marco propuesto también puede ser útil en estudios futuros que examinen la implementación de la IA en la industria hotelera y turística.

desarrollamos un marco para los formuladores de políticas que identifica y podría ayudar a superar algunos de los desafíos en la implementación de la automatización y la inteligencia artificial en el sector de la hospitalidad y el turismo en todo el mundo. Los resultados proporcionan una agenda para futuras investigaciones en esta área.

The purpose of this study is to ascertain how corporate social responsibility (CSR) managers are justifying the adoption of automation technologies in India, which is simultaneously creating job loss.

Indian firms to become and maintain superior levels of competitiveness in the marketplace had initiated the adoption, as well as usage of automation technologies such as robotics, additive manufacturing, machine learning and others. Such firm initiatives led to job loss in communities where the firm had a presence with its plants and offices. CSR managers primarily engaged with communities to undertake firm CSR initiatives. Job creation and its continuance have been a sacred component in this narrative. The adoption of automation technologies had altered this point of conversation. CSR managers had to justify both organizational actions from a firm perspective and reconcile the same to the community leaders. In this research, an exploratory study was conducted with a semi-structured open-ended questionnaire with 28 CSR experts. Data was collected through personal interviews and the data was content analysed based upon thematic content analysis.

The results indicated that CSR managers rationalized the adoption of automation technologies from a push-pull-mooring (PPM) perspective from a firm centric point of view. While for justification from a community (social) centric perspective, dominantly system thinking with fair market ideology than normative justification, utilitarian rather than deontological thinking (DT) and organizational economic egoism (OEE) rather than reputational egoism was applied.

The study applies the theories of the PPM perspective from a firm centric point of view. While for community-based theoretical justification – system thinking with fair market ideology than normative justification, utilitarian rather than DT and OEE rather than reputational egoism was used.

This study finding would help CSR managers to undertake community activities while their firms are adopting and implementing automation technologies that are creating job loss in the very community their firms are serving. Mangers would get insights regarding the steps they should undertake to create harmony.

This is one of the first studies that delve regarding how CSR managers are justifying the adoption of automation technologies in India, which is simultaneously creating job loss. Theoretically, this study is novel because the study question is answered based upon the adoption of automation technologies from a PPM perspective from a firm centric point of view. While, for justification from a community (social) centric perspective, dominantly system thinking with fair market ideology than normative justification, utilitarian rather than DT and OEE rather than reputational egoism was applied.

The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less emphasis has been placed on how these digital tools will influence the management of the construction workforce. To this end, using a review of existing works, this chapter explores the fourth industrial revolution and its associated technologies that can positively impact the management of the construction workforce when implemented. Also, the possible challenges that might truncate the successful deployment of digital technologies for effective workforce management were explored. The chapter submitted that implementing workforce management-specific digital platforms and other digital technologies designed for project delivery can aid effective workforce management within construction organisations. Technologies such as cloud computing, the Internet of Things, big data analytics, robotics and automation, and artificial intelligence, among others, offer significant benefits to the effective workforce management of construction organisations. However, several challenges, such as resistance to change due to fear of job loss, cost of investment in digital tools, organisational structure and culture, must be carefully considered as they might affect the successful use of digital tools and by extension, impact the success of workforce management in the organisations.

The following paper is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned successful innovator and leader, regarding the challenges of bringing technological discoveries to fruition. The paper aims to discuss these issues.

The interviewee is Gianmarco Veruggio who is responsible for the Operational Unit of Genoa of the Italian National Research Council Institute of Electronics, Computer and Telecommunication Engineering (CNR-IEIIT). Veruggio is an early pioneer of telerobotics in extreme environments. Veruggio founded the new applicative field of Roboethics. In this interview, Veruggio shares some of his 30-year robotic journey along with his thoughts and concerns on robotics and society.

Gianmarco Veruggio received a master’s degree in electronic engineering, computer science, control and automation from Genoa University in 1980. From 1980 to 1983 he worked in the Automation Division of Ansaldo as a Designer of fault-tolerant multiprocessor architectures for fail-safe control systems and was part of the development team for the new automation of the Italian Railway Stations. In 1984, he joined the CNR-Institute of Naval Automation (IAN) in Genoa as a Research Scientist. There, he worked on real-time computer graphics for simulation, control techniques and naval and marine data-collection systems. In 1989, he founded the CNR-IAN Robotics Department (Robotlab), which he headed until 2003, to develop missions on experimental robotics in extreme environments. His approach utilized working prototypes in a virtual lab environment and focused on robot mission control, real-time human-machine interfaces, networked control system architectures for tele-robotics and Internet Robotics. In 2000, he founded the association “Scuola di Robotica” (School of Robotics) to promote this new science among young people and society at large by means of educational robotics. He joined the CNR-IEIIT in 2007 to continue his research in robotics and to also develop studies on the philosophical, social and ethical implications of Robotics.

Veruggio led the first Italian underwater robotics campaigns in Antarctica during the Italian expeditions in 1993, 1997 and 2001, and in the Arctic during 2002. During the 2001-2002 Antarctic expedition, he carried out the E-Robot Project, the first experiment of internet robotics via satellite in the Antarctica. In 2002, he designed and developed the Project E-Robot2, the first experiment of worldwide internet robotics ever carried out in the Arctic. During these projects, he organized a series of “live-science” sessions in collaboration with students and teachers of Italian schools. Beginning with his new “School of Robotics”, Veruggio continued to disseminate and educate young people on the complex relationship between robotics and society. This led him to coin the term and propose the concept of Roboethics in 2002, and he has since made worldwide efforts at dedicating resources to the development of this new field. He was the General Chair of the “First International Symposium on Roboethics” in 2004 and of the “EURON Roboethics Atelier” in 2006 that produced the Roboethics Roadmap. Veruggio is the author of more than 150 scientific publications. In 2006, he was presented with the Ligurian Region Award for Innovation, and in 2009, for his merits in the field of science and society, he was awarded the title of Commander of the Order of Merit of the Italian Republic, one of Italy’s highest civilian honors.

This study aims to identify and evaluate the key strategies to promote the implementation of automation techniques with reference to the Nigerian construction industry.

Pragmatic philosophical thinking using a mixed-method approach (a combination of qualitative and quantitative) was adopted for this study. The qualitative strand of this research was achieved using a Delphi technique while a well-structured questionnaire conducted among 191 construction professionals was adopted to attain the quantitative strand. Obtained data were analyzed using frequencies, percentages, mean item scores, Kruskal–Wallis H test and exploratory factor analysis (FA).

Results revealed that the “provision of funding and subsidies for automation techniques” “mandatory automation policies and regulations,” “creating incentives for adoption,” “formulation of programs to promote awareness” and “deploying gamification to boost employee performance” were the top five strategies to promote the adoption of automation techniques. FA revealed four principal clusters, namely, awareness and publicity programs, government regulations and standards, provision of education and training and awards and recognition.

This study provided a solid theoretical and empirical foundation that can be useful to construction industry stakeholders, decision-makers, policymakers and the government in mapping out strategies to promote the incorporation and deployment of automation and robotics in the construction industry.

To the best of the authors’ knowledge, this study is one of the first in developing countries and Nigeria to establish an ordered grouping structure of the strategies to promote the adoption of automation techniques.

This study examines the propensity to innovate in automation of family firms (FFs) based on the socio-emotional wealth (SEW) perspective.

This study’s analysis is based on three aspects. First, the authors consider three main non-economic goals and priorities of FFs: the family’s relationship with employees (read as to care for their satisfaction and well-being); the inner pride of building and maintaining the family and firm image and reputation; and the inner feeling to be socially responsible. Second, the authors consider how these goals and priorities vary among FFs according to four dimensions: family ownership, the presence of family members on the board of directors, the involvement of young successors, and the presence of founding and later generations. Finally, the consequences of automation are considered: lower firm employment, lower employees’ satisfaction and well-being, and higher firm productivity. The analysis is based on a sample of 4,150 Italian firms.

The analysis revealed that FFs are less prone to innovate in automation than non-FFs. Specifically, family ownership, the presence of family members on the board of directors, and the presence of founding generation are negatively associated with innovation in automation. Instead, the involvement of young successors and the presence of later generation are positively associated with innovation in automation.

To the authors’ knowledge, this study is the first investigation that, based on SEW, examines how FFs act on the decision to innovate in automation, thereby providing empirical evidence.