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Although acknowledged as a principal dimension in the context of text mining, time has yet to be formally incorporated into the process of visually representing the relationships between keywords in a knowledge domain. This paper aims to develop and validate the feasibility of adding temporal knowledge to a concept map via pair-wise temporal analysis (PTA).

The paper presents a temporal trend detection algorithm – vector space model – designed to use objective quantitative pair-wise temporal operators to automatically detect co-occurring hot concepts. This PTA approach is demonstrated and validated without loss of generality for a spectrum of information technologies.

The rigorous validation study shows that the resulting temporal assessments are highly correlated with subjective assessments of experts (n = 136), exhibiting substantial reliability-of-agreement measures and average predictive validity above 85 per cent.

Using massive amounts of textual documents available on the Web to first generate a concept map and then add temporal knowledge, the contribution of this work is emphasized and magnified against the current growing attention to big data analytics.

This paper proposes a novel knowledge discovery method to improve a text-based concept map (i.e. semantic graph) via detection and representation of temporal relationships. The originality and value of the proposed method is highlighted in comparison to other knowledge discovery methods.

For the Republic of Ireland, as for most European countries, the period since the Second World War has been one of growth and expansion in higher education. This has resulted partly from a growing population of young people and partly from the demand for trained manpower in response to increasing industrialisation and technological change. Total enrolment in all sectors of higher education trebled from 15,000 in 1950 to more than 45,000 in 1983, and during the same period the number of students in the universities rose from 8,000 to 27,000. The rapid increase in enrolments led to the appointment of a Commission on Higher Education which reported in 1967. Many of its recommendations have been overtaken by subsequent developments, but two central themes were that increased state investment in higher education was a precondition of social and economic progress, and that the growing demand for higher education was so large and so diverse that new institutions should be established to cope with it. Accordingly, in addition to expansion in virtually all the existing universities and colleges, two new national institutes of higher education have been established since 1970, together with nine regional technical colleges, in which the emphasis is on courses in the applied sciences and technological and business studies. As far as state investment in higher education is concerned, around 80% of the financial provision for almost all the institutions is derived from state funds. The distribution of these funds to the universities and national institutes of higher education is one of the functions of the Higher Education Authority, a body established in 1968 on the recommendation of the Commission, and whose other functions include the continuous review of the need for and provision of higher education, and the coordination of financial planning and development.

The purpose of this study is to identify the major factors influencing the adoption of health-care wearables in generation Z (Gen Z) customers in India. A conceptual framework using push pull and mooring (PPM) adoption theory was developed.

Data was collected from 208 Gen Z customers based on 5 constructs related to the adoption of health-care wearables. Confirmatory factor analysis and structural equation modelling was used to analyse the responses. The mediation paths were analysed using bootstrapping method and examination of the standardized direct and indirect effects in the model.

The study results indicated that the antecedent factors consisted of push (real-time health information availability), pull (normative environment) and mooring (decision self-efficacy) factors. The mooring factor (MOOR) was related to the push factor but not the pull factor. The MOOR, in turn, was related to the switching intention of Gen Z customers for health wearables adoption.

The research study extended the literature related to the PPM theory in the context of the adoption of health wearables among Gen Z customers in India.

The study outcome would enable managers working in health wearable organizations to understand consumer behaviour towards health wearables.

The use of health wearables among Gen Z individuals would lead to future generations adopting a healthy lifestyle resulting in an effective workforce and better economy.

This was one of the few studies which have explored the PPM theory to explore the factors for the adoption of health wearables among Gen Z customers in India.

This paper aims to propose a value co-creation framework through examining the opportunities of implementing augmented reality, virtual reality and 3D printing into the visitor experience at cultural heritage places.

This study proposes the conceptual model of value co-creation using a case-study approach by presenting some cases of a cultural heritage place in the UK.

The findings of this study suggest that the effective use of multiple technologies in the context of cultural heritage places contributes to the co-creation of value for both cultural heritage organisations and also for visitors’ pre-visit, onsite and post-visit experience. Businesses can benefit from increased spending, intention to return and positive word-of-mouth, while visitors receive a personalised, educational, memorable and interactive experience.

Cultural heritage places have to find new ways to survive increasingly fierce competition. Using technology and the concept of value co-creation can prove to be a valuable concept in an attempt to attract new target markets, enhance visitors’ experience, create positive word-of-mouth and revisit intentions.

Recently, increased importance has been placed on the co-creation of value to account for consumers' interest in playing some part in the development of services and products. This study takes a holistic approach using augmented reality, virtual reality and 3D printing from a value co-creation perspective.

In this paper, the authors examine the impact of Industry 4.0 (I4.0) technologies on the relationship between total productive maintenance (TPM) practices and maintenance performance.

Data collection was carried out through a multinational survey with 318 respondents from different manufacturing companies located in 15 countries. Multivariate data techniques were applied to analyze the collected data. Diffusion of innovations theory (DIT) was the adopted theoretical lens for our research.

The authors’ findings indicate that I4.0 technologies that aim to process information to support decision-making and action-taking directly affect maintenance performance. Technologies oriented to sensing and communicating data among machines, people, and products seem to moderate the relationship between TPM practices and maintenance performance. However, the extent of such moderation varies according to the practices involved, sometimes leading to negative effects.

With the advances of I4.0, there is an expectation that several maintenance practices and performance may be affected. Our study provides empirical evidence of these relationships, unveiling the role of I4.0 for maintenance performance improvement.

This paper aims to understand the various facets of augmented reality (AR) and to explore its prospects for supporting the relaunch of the tourism sector post-COVID-19 in accordance with the guidelines set out by WHO and UNWTO.

This study falls into the category of exploratory research. It is based on a systematic review of secondary data. Thematic content analysis has been adopted to trace out the various ways in which AR can be an aid in overcoming challenges in the relaunch of tourism after the pandemic.

It was found that norms such as social distancing and lower mobility are going to be followed even after the COVID-19. Therefore, there will be a great demand for mobile and Web-based AR to not only ensure tourist safety but also to create unique, accessible, personalized, context-specific, deep and memorable experiences.

Apart from its academic contribution to the existing body of knowledge, this work can assist various tourism DMOs and policymakers to devise futuristic policies for AR-driven tourism management and development.

The COVID-19 pandemic is unprecedented and never seen before. In this context, this study establishes its novelty by exclusively focusing on the aspects of AR that can support the relaunch of tourism post-pandemic.

This paper aims to present a method for improving the performance of the visual-inertial navigation system (VINS) by using a bio-inspired polarized light compass.

The measurement model of each sensor module is derived, and a robust stochastic cloning extended Kalman filter (RSC-EKF) is implemented for data fusion. This fusion framework can not only handle multiple relative and absolute measurements, but can also deal with outliers, sensor outages of each measurement module.

The paper tests the approach on data sets acquired by a land vehicle moving in different environments and compares its performance against other methods. The results demonstrate the effectiveness of the proposed method for reducing the error growth of the VINS in the long run.

The main contribution of this paper lies in the design/implementation of the RSC-EKF for incorporating the homemade polarized light compass into visual-inertial navigation pipeline. The real-world tests in different environments demonstrate the effectiveness and feasibility of the proposed approach.

The purpose of this paper is to investigate the related issues of physical annotation systems and also to study their historical development. Moreover, the paper provides a taxonomy of physical annotation systems, including augmented reality systems and concludes with future challenges concerning such systems.

The authors first provide a review and a comparison of existing physical annotation systems. The authors' classification of the physical annotation systems is based on the capabilities they provide.

Physical annotation systems evolve as technology progresses. However, there are issues such as cognitive overload, trust, transient associations, and integrating of social networking with physical annotations.

As technology develops, physical annotations will become increasingly important in daily life. Hence, there are important research issues to address with regards to physical annotation systems.

New better physical annotation systems are needed, which will change the way we do things in life, including personal memory, tourism, commerce, security, games, traffic management, entertainment and health.

Physical annotation systems will affect the relationships between people, between people and places and between people and things. There is a potential shift in the way people view the physical world, not only as what we see but as what we see through the devices we carry.

The paper is an original review of physical annotation systems; there does not seem to be many such reviews on this area. The paper presents a set of future challenges regarding such systems.

With the advent of increasingly sophisticated AI, the nature of work in the service frontline is changing. The next frontier is to go beyond replacing routine tasks and augmenting service employees with AI. The purpose of this paper is to investigate whether service employees augmented with AI-based emotion recognition software are more effective in interpersonal emotion regulation (IER) and whether and how IER impacts their own affective well-being.

For the underlying study, an AI-based emotion recognition software was developed in order to assist service employees in managing customer emotions. A field study based on 2,459 call center service interactions assessed the effectiveness of the AI in augmenting service employees for IER and the immediate downstream consequences for well-being relevant outcomes.

Augmenting service employees with AI significantly improved their IER activities. Employees in the AI (vs control) condition were significantly more effective in regulating customer emotions. IER goal attainment, in turn, mediated the effect on employee affective well-being. Perceived stress related to exposure to the AI augmentation acted as a competing mediator.

Service firms can benefit from state-of-the-art AI technology by focusing on its capacity to augment rather than merely replacing employees. Furthermore, signaling IER goal attainment with the help of technology may provide uplifting consequences for service employee affective well-being.

The present study is among the first to empirically test the introduction of an AI-fueled technology to augment service employees in handling customer emotions. This paper further complements the literature by investigating IER in a real-life setting and by uncovering goal attainment as a new mechanism underlying the effect of IER on the well-being of the sender.

Industry 4.0 recognizes a broad set of technologies that rapidly redefine industry, including real estate. These broad technologies include the Internet of things (IoT), cloud computing, decision automation, machine learning and artificial intelligence. This paper explores applies Industry 4.0 to commercial real estate, resulting in a framework defined here as Real Estate 4.0, a concept that encompasses fintech and proptech.

This research paper examines Industry 4.0 technology to construct a framework for Real Estate 4.0. We also focus on how the COVID-19 pandemic is accelerating proptech, particularly as it relates to getting employees back into their traditional work environments.

As a research paper, this is not a traditional research project with empirical findings. It is a primer on how the rapidly changing technologies of Industry 4.0 are now disrupting and transforming real estate today into what we are calling Real Estate 4.0.

Practitioner insight and future research are informed by a framework for Real Estate 4.0 drawn from the technologies of Industry 4.0. Additional implications are outlined for practical, systemic change as a result of the COVID-19 pandemic within the scope of Real Estate 4.0 technology.

This is a combined effort by experts in three contributing disciplines: systems science, planning and real estate. Our intent is to provide a primer for those of us in the latter two fields so that we can embrace the rapidly changing built environment landscape as it adjusts and adapts to a post COVID-19 environment that will be critical to maintain real estate investment values and enhance the real estate user's experience.