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This study examines accounting academics' perceptions of practical experience. Although such experience is perceived as important for student learning and school image, it is not a relevant factor in hiring, tenure and promotion decisions in their schools. As a result, even though faculty would like to gain/refresh their practical experience, they do not find much opportunity provided by their schools. In addition, faculty members, especially those who have not obtained tenure status, find it more important to have publications in order to succeed. Consequently, they find no incentive to gain such experience.

This research study examined accounting and business administration education curricula at foreign universities and tested a model for measuring the level of management technology attained by a country. The primary focus of this research was the role of accounting and business education as input for a measurement model designed to aid in assessing the potential for the transfer of management technology. A factor analysis‐based technometric model to measure a country's degree of management technology sophistication was utilised. The model placed newly industrialised countries including Korea, India, China, Brazil, and Mexico at the top of the scale even though these countries do not have the highest Gross National Product (GNP) per capita. These results suggest that per capita GNP may not be a reasonable indicator of accounting and management technological potential, and that the technometric model utilised in this study may provide more accurate information regarding the transfer of accounting and management technology.

This paper seeks to evaluate the research records of scholars contributing articles to the two premier financial education journals – Journal of Financial Education (JFED) and Financial Practice and Education (FPE) – as a means by which to obtain indirect evidence about the quality of the articles appearing in these education journals. The implicit assumption is that authors who publish in the best finance research journals will apply the same standards of excellence and rigor when preparing manuscripts for financial education journals.

The names of all authors appearing in the JFED and FPE during the 1972‐2010 period – and the number of such appearances – were summarized directly from the journals' table of contents. The number of appearances by each author in a set of 23 high‐impact finance journals was identified by reference to the table of contents of these journals.

The majority of the authors appearing in the two education journals have also penned one or more high‐impact article, with an average of over three high‐impact appearances.

The identification of a unique set of the 23 “best” journals in any academic field is an inherently subjective task. The exclusion of additional high‐quality journals from this list (especially those from the related fields of accounting and economics) might short change the research records of some education authors.

Evidence about the average quality of articles appearing in education journals could be useful to university administrators when evaluating faculty research records for purposes of tenure, promotion, and merit awards.

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.

Service robots are gradually becoming more anthropomorphic and intelligent. This research aims to investigate how anthropomorphic service robots with different levels of intelligence affect their human counterparts.

Two between-subject experimental studies were used to test whether different levels of service robot anthropomorphism with different levels of intelligence influence employees' morale and resistance to service robots.

Study 1 shows that the effect of service robot anthropomorphism (low vs. high) on employees' resistance and morale is mediated by perceived job-security threat. Study 2 validates this mediating effect and shows that it is moderated by the type of AI (mechanical vs. analytical). Specifically, when exposed to mechanical AI-powered service robots, employees exhibit a higher perceived job-security threat toward robots with a high (vs. low) degree of anthropomorphism. This moderating effect is not observed when employees are exposed to analytical AI-powered service robots. This moderated mediation effect is also found for the signing of a petition as the behavioral outcome.

Service firms considering the adoption of mechanical AI-powered service robots should choose a low (vs. high) anthropomorphic robot to reduce the sense of job-security threat felt by human employees, which subsequently increases their acceptance. However, if analytical AI-powered service robots with are to replace their human employees, the degree of anthropomorphism becomes irrelevant.

This is the first empirical study to explore how anthropomorphic service robots can influence human employees' evaluations and behaviors.