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The ability to appreciate the sensation of force and torque that is experienced by the slave device in a teleoperator system is essential for achieving remote manipulations such as assembly and disassembly, telesurgery, and remote handling of delicate and dangerous substances. This paper describes an intelligent teleoperator system that not only provides high quality force feedback information in teleoperation but also additional information about the contact formation between the slave device and the environment is presented to the operator. This paper also discusses the design of the teleoperator system and introduces its architecture. Experimental study using the developed teleoperator system is presented that highlights its performance in real life applications.

The hospitality and tourism industry is strongly influenced by new and immersive technologies, such as augmented reality (AR), to enhance customer experiences across a diverse set of touchpoints throughout the visitor journey. This paper aims to provide a holistic understanding of AR marketing for this industry context, present a number of fundamental premises of AR marketing within it and establish an agenda for future AR research.

This study reviews current literature on AR marketing, hospitality and tourism and industry use cases for the creation of a proposed conceptual framework to guide scholars and managers. Based on that, the authors propose fundamental premises.

The three fundamental premises of AR marketing presented are the need to clearly differentiate between AR and virtual reality within hospitality and tourism; the use of AR for the on-trip experience; and the combined focus on content, context, customer and computing devices for a successful strategic implementation of AR.

This study serves as a first point of reference for the strategic integration of AR into hospitality and tourism marketing, both from an industry and academic point of view.

The authors provide a number of managerial recommendations based on our three fundamental premises.

To the best of the authors’ knowledge, this study is one of the first to holistically characterize AR marketing in the hospitality and tourism context. It also highlights the fundamental premises of successful AR marketing and future directions of AR research today and in a spatial computing future.

The purpose of this paper is to design a model-based bilateral teleoperation method to improve the feedback force and velocity/position tracking for robotic-assisted tasks (such as palpation, etc.) under constant and/or varying time delay with environment dynamic property. Time delay existing in bilateral teleoperation easily destabilizes the system. Proper control strategies are able to make the system stable, but at the cost of compromised performance. Model-based bilateral teleoperation is designed to achieve enhanced performance of this time-delayed system, but an accurate model is required.

Viscoelastic model has been used to describe the robot tool-soft tissue interaction behavior. Kevin-Boltzmann (K-B) model is selected to model the soft tissue behavior due to its good accuracy, transient and linearity properties among several viscoelastic models. In this work, the K-B model is designed at the master side to generate a virtual environment of remote robotic tool-soft tissue interaction. In order to obtain improved performance, a self perturbing recursive least square (SPRLS) algorithm is developed to on-line update the necessary parameters of the environment with varying dynamics.

With fast and optimal on-line estimation of primary parameters of the K-B model, the reflected force of the model-based bilateral teleoperation at the master side is improved as well as the position/velocity tracking performance. This model-based design in the bilateral teleoperation avoids the stability issue caused by time delay in the communication channel since the exchanged information become position/velocity and estimated parameters of the used model. Even facing with big and varying time delay, the system keeps stably and enhanced tracking performance. Besides, the fast convergence of the SPRLS algorithm helps to track the time-varying dynamic of the environment, which satisfies the surgical applications as the soft tissue properties usually are not static.

The originality of this work lies in that an enhanced perception of bilateral teleoperation structure under constant/varying time delay that benefits robotic assisted tele-palpation (time varying environment dynamic) tasks is developed. With SPRLS algorithm to on-line estimate the main parameters of environment, the feedback perception of system can be enhanced with stable velocity/position tracking. The superior velocity/position and force tracking performance of the developed method makes it possible for future robotic-assisted tasks with long-distance communication.

In this way, the aim of this study is to expand and evelop the application of this technique in FMEA to rank failure modes of ESQ of academic libraries in an intuitionistic fuzzy environment. Assessment of electronic service quality (ESQ) of libraries is significantly important according to their major roles. It should be noted that the ESQ has a significant impact on customer satisfaction, which improves organizational performance. Accordingly, low ESQ means waste of organizational resources and poor user satisfaction. So, there is a dire need to reflect reasons inducing failure modes in academic library ESQ. Thus, investigation of failure modes affecting academic library ESQ is highly important. One solution in this area is utilization of the intuitionistic fuzzy (IF) failure mode and effects analysis (FMEA) as one of the widely used methods for prediction and identification of failure modes.

The present study in terms of objective is applied and in terms of the type of method is descriptive-analytical. The research sample included four experts of Yazd academic Libraries (Iran). To collect data, three types of questionnaires were distributed among experts. The purpose of the first questionnaire was to identify and reach an agreement on e-library failure modes. Type II questionnaire was used to determine the importance of identified risk factors and Type III questionnaire was used to prioritize the factors.

Results indicate that the difficulty of using websites, lack of provided information feedback to users and lack of links on the website to users' are the main priorities for improving ESQ in the studied academic libraries.

In this approach, the Intuitionistic fuzzy Elimination Et Choix Traduisant la REalité and technique for order of preference by similarity to ideal solution method were used to rank failure modes in academic library ESQ within the FMEA framework.]

This chapter traces one student teacher's (Joan) experiences of learning to teach English as a second language in a cross-cultural context during a teaching practicum in Hong Kong. The school-based practicum is a core component of many initial teacher education programmes. During this induction period, usually an 8-week block, student teachers are placed in local schools to learn how to integrate theories into practice in real teaching situations. Specifically, I uncover how Joan grappled with the tensions and complexities of teaching young learners from a different cultural and linguistic background, in a small elementary school situated in the borderland between Hong Kong (an autonomous region of China) and Shenzhen (a province of Mainland China).

Critical incidents from Joan's practicum experiences were analysed to uncover how she dealt with the tensions and dilemmas in confronting difference and marginalising practices while learning to teach English as a second language (ESL) in the practicum school. Implications on how to develop initial teacher education programmes so that student teachers learning to teach across cultural contexts can be encouraged to explore, confront and ‘deal with the emotional terrain of understanding difference’ will be discussed (Boler & Zembylas, 2003, p. 123; Zembylas, 2010).

Because there is mixed evidence regarding Big N fee premiums across countries, the purpose of this paper is to re-examine the phenomenon of audit price differentiations in the market for auditing services in Thailand. Although Hay et al. (2006) and Hay (2013) reviewed over 80 audit fee papers from 20 countries over 25 years, 13 of which were based in emerging economies, the understanding of the market for auditing services in Thailand remains limited. Because the Thai auditing market is also classified as a segmented market – i.e., a market that is less competitive for large-client firms and more competitive for small-client firms – this study tests audit price competition in an emerging audit market using Thailand as an example.

The traditional audit fee model is used to estimate audit fee premiums for a sample of over 300 non-financial companies listed on the Stock Exchange of Thailand in 2011.

Although the market for auditing services in Thailand is consistent with that described in Ferguson et al. (2013) – in which Big N audit firms dominate only the large-client segment – the results show that Big N auditors charge higher audit fees and earn higher fee premiums compared with non-Big N auditors in both the small- and large-client segments of the audit market.

The evidence from this study reveals the existence of Big N fee premiums across market segmentations. Audit price differentials between Big N and non-Big N firms in both small- and large-client market segments might concern regulators regarding competition in the audit market with respect to whether the Big N firms are charging uncompetitive audit fees. These findings also imply that audit pricing varies across countries and the Big N price deferential is typically larger in emerging markets than in more developed audit markets and that it might be inadequate to study single-country audit pricing. However, the question whether the Big N fee premium results from Big N product differentiation is not directly investigated in this study.

Because earlier studies focusing on audit fee premiums have been conducted using data from the USA and Australia, the findings add to the limited evidence regarding audit fee premiums in an emerging country such as Thailand.

The purpose of this paper is to contribute to the human resources (HR) literature by using exploratory network analysis (ENA), a data-driven technique. This technique was employed to discover how the perceived effectiveness of HR practices interrelate with employee perceptions on organizational cultural factors to enhance organizational commitment.

The authors used data from 1,459 employees of a large South Korean conglomerate and studied how individual HR practices could be enhanced by specific organizational cultural factors. The data were analyzed using ENA, which is an inductive approach.

The authors found that organizational commitment is associated with the positive perceptions of employees on the effectiveness of HR practices, such as performance appraisal, training and development, and compensation. Results show that when both HR practices and organizational cultural factors are considered, they appear to influence organizational commitment independently.

Data were collected from a large conglomerate. The authors were limited by the use of the scales developed by a consulting firm. Therefore, readers should be cautious about the generalizability of the findings.

The application of a data-driven technique (ENA) highlights the potentially fertile methodological grounds for HR research. Literature on strategic HR management may benefit from inductive approaches, wherein data serve as primary foundation for the design and development of new theories.

The purpose of this study is to understand the perceptual differences toward smiling behaviors with head inclinations displaying by the human-like robot staff and human staff in a service setting.

This study adopted a 2 (staff: robot/human personal personnel) × 3 (head tilt: left/right/straight) full factorial design, while cross-examining participants’ cultural dimensions 2 (power distance: high/lower) × 2 (gender: male/female) during the service encounter.

Overall, it was found that male and female customers with different cultural background would perceive robot and human personnel with varying degrees of head tilt very differently, namely, regarding interpersonal warmth but not customer satisfaction.

Nonverbal cues serve as important elements in the interaction. This paper provides new directions on the design of anthropomorphic robot and gives insight to people’s perceptual differences. All in all, the present study is useful in facilitating human–robot interactions.

This study aims to comprehensively assess how digital maturity degree (DMD) impacts sustainable supply chain management (SSCM) performance through the mediating role of SSCM practices in businesses in Vietnam.

The hypotheses were performed using partial least square-structural equation modeling (PLS-SEM) with data collected from a survey of over 234 managers having responsibility in the supply chain field in Vietnam. Qualitative data were collected through semistructured interviews with 6 experts to deepen understanding of the relationship between DMD and SSCM.

The results show the mix-results in the relationship between SSCM practices and SSCM performance dimensions while DMD strongly impacts SSCM practices. Also, this study finds the mediating role of SSCM practices on the relationship between DMD and SSCM performance.

This is the first study to investigate the role of DMD on SSCM practices and SSCM performance, using empirical evidence. Moreover, the authors integrate both qualitative and quantitative for understanding complex SSCM phenomena. The present study also helps businesses improve their SSCM performance by leveraging SSCM practices and developing their digital technologies in the long-term view.