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This paper presents the results of a study evaluating a complete autonomous smart home installation in an apartment in a care home, and the impact it had on the behaviour and independence of someone with quite severe dementia (Mini Mental State Examination, or MMSE, of 10). It describes the technology that has been evolved for this purpose, and how the apartment was configured. The evaluation compared the behaviour of the resident before and after the switching on of a wide range of autonomous support technology, by analysing the logged sensor data, through a questionnaire‐based outcome measure, and through transcribed interviews. The technology enabled the client to retain a lot of independence. It helped him to regain urinary continence, improved his sleep from around 3.5 hours per night to 5.5, and halved the number of night‐time wanderings. The paper concludes with a series of recommendations for future work in this area.

Internet of things (IoT) involves the connection of various devices. IoT’s application ranges from wearables: Smart Home Application, Health Care, Smart Offices, Smart Cities, Agriculture, and Industrial Automation. While the number of connected devices grows by the day, so does the number of security risks and vulnerabilities that these devices face. Billions of the connected devices collect and transmit huge volumes of data making Data Security one of the most pressing technical concerns in IoT. Smart Office is one of the increasing IoT applications and Data Security has become today one of the most challenging areas in its application. It is important to identify data security threats. This chapter therefore presents a review of IoT Smart Office Data Security Threats based on existing research done.

In recent days, there is a huge loss in the income of farmers due to the reasons such as low water lever and increased pesticide attack. Therefore, the purpose of this paper is to establish an efficient reliable low-cost information gathering Reliable Low-Cost Information Gathering Protocol (RLCIG) protocol for agricultural water irrigation using optimal clustering and path selection technique where the RCIG protocol wrinkles the expedient statistics about the moisture and temperature of the soil and it will be installed few inches below the pipeline. Thereafter, the congregated data will augment the irrigation of water by using a decision-making algorithm.

The projected model has been inscribed mathematically by underlying the wireless sensor networks (WSN) framework with deliberation of contemporary challenges. Furthermore, the energy, cost and expanse optimization framework in the WSN framework is presented. The projected technique has been tested using network simulator and the results are also integrated MATLAB.

Recently, for efficacious management in the field of agriculture, the WSN has been successfully assimilated. This instigation accomplishes the irrigation management in terms of energy, cost and communication distance. The simulation result shows that the proposed model yields better results in terms of both the transmission range and cost with efficient lifetime improvement in comparisons with existing techniques.

Agriculture is the need of the time whatever invention happens in the scientific world without food production no lives survive on the earth, hence, the scientific invention should also focus on agriculture, in this contrast, the authors have proposed an efficient low-cost information gathering (RCIG) protocol for agricultural water irrigation using optimal clustering and path selection technique.

The purpose of this paper is to review current evidence in relation to scale and impacts of cyber crime, including various approaches to defining and measuring the problem.

A review and analysis of survey evidence is used to enable an understanding of the scope and scale of the cyber crime problem, and its effect upon those experiencing it.

The analysis evidences that cyber crime exists in several dimensions, with costs and harms that can be similarly varied. There is also a sense that, moving forward, the “cyber” label will become somewhat redundant as many crimes have the potential to have a technology component.

The key evidence in this particular discussion has some geographic limitations, with much of the discussion focussed upon data drawn from the Crime Survey for England and Wales, as well as other UK-based sources. However, many of the broader points still remain more widely relevant.

This study helps in: better understanding the range and scale of cyber crime threats; understanding how the cyber element fits into the wider context of crime; improving the appreciation of what cyber crime can mean for potential victims; and recognising the cost dimensions, and the implications for protection and response.

The discussion will help businesses and individuals to have a better appreciation of the cyber crime threat, and what ought to be considered in response to it.

The discussion is based upon recent evidence, and therefore represents a more up-to-date view of the cyber crime landscape than reviews already available in earlier literature.

Many economic, political and socio-cultural events in the 2020s have been strong headwinds for architecture, engineering and construction (AEC). Nevertheless, technological advancements (e.g. artificial intelligence (AI), big data and robotics) provide promising avenues for the development of AEC. This study aims to map the state of the literature on automation in AEC and thereby be of value not only to those researching automation and its composition of a variety of distinct technological and system classes within AEC, but also to practitioners and policymakers in shaping the future of AEC.

This review adopts scientometric methods, which have been effective in the research of large intra and interdisciplinary domains in the past decades. The full dataset consists of 1,871 articles on automation in AEC.

This overarching scientometric review offers three interdisciplinary streams of research: technological frontiers, project monitoring and applied research in AEC. To support the scientometric analysis, the authors offer a critical integrative review of the literature to proffer a multilevel, multistage framework of automation in AEC, which demonstrates an abundance of technological paradigm discussions and the inherent need for a holistic managerial approach to automation in AEC.

The authors underline employee well-being, business sustainability and social growth outcomes of automation and provide several managerial implications, such as the strategic management approach, ethical management view and human resource management perspective. In doing so, the authors seek to respond to the Sustainable Development Goals proposed by the United Nations as this becomes more prevalent for the industry and all levels of society in general.

This paper aims to critically reassess established approaches to the teaching and analysis of computer ethics, and to propose a revised methodology, drawing on the practical experience of teaching undergraduates in a culturally diverse, international learning environment.

Theoretical in scope, reviewing concepts and methods in the existing literature and developing an alternative inter-disciplinary and multi-dimensional framework.

Ethical analysis can benefit from broader, inter-disciplinary perspectives that take into account the social and economic context in which information and communication technologies (ICTs) are designed, deployed and used, and the complex forces that drive their development. A richer analysis of this context enables a better understanding of the specific properties and applications of ICTs which, in turn, foreground particular ethical issues. This can result in a more self-reflexive and rounded appreciation of the ethical, legal and professional issues invoked by ICTs.

The paper develops a revised, flexible methodology for doing ethics which can be applied to any case study or domain of application. It outlines some of the key questions and major ethical principles that are generated by ICTs. The paper has pedagogical value for both teachers and students of computer ethics, but has relevance also for information technology professionals and practitioners.

The purpose of this study is to review and synthesise recent studies in the sharing economy literature and identify the knowledge gap and future opportunities for hospitality and tourism researchers.

The study commences by introducing sharing economy models and strategic frameworks for profitable service enabler performance. Following this, it identifies emerging overarching theories (e.g. complexity theory, social exchange theory, norm activation model, and value co-creation) and some emerging themes (i.e. trust and reputation, disruptive behaviour, choice and segmentation, pricing strategies, socially excluded consumers, personality and satisfaction) in current hospitality and tourism studies from top-tier journals.

The findings of the study suggest new paths for advancing theoretical and practical implications for hospitality and tourism studies.

The themes, models and overarching theories reviewed in this study are relevant and insightful across the fulcrum of hospitality and tourism research. It offers several useful guides for practitioners and academics to trace relevant literature on different aspects of sharing economy and perceptibly highlight the gaps in existing studies.

The paper provides new directions to broaden interdisciplinary and multidisciplinary approaches undertaken by scholars within both the field of hospitality and tourism management and beyond.

The results indicate that land prices exert pressure on retail performance (RP) and that the enhancement of digital means has a positive effect on RP. Additionally, digital instruments (DI) play a significant moderating role in the relationship between land prices and RP.

This paper empirically examines the impact of land prices on RP using panel data from 239 Chinese cities between 2011 and 2022.

The use of lagged land prices as instrumental variables effectively alleviates endogeneity issues. Both two-stage least squares (2SLS) and generalized method of moments (GMM) regression results suggest that higher land prices are associated with improved RP. Further analysis reveals that the increase in land prices leads to scale effects, structural effects and technological effects, contributing to the enhancement of RP. The impact of land prices on RP becomes more pronounced in larger cities and economically developed regions experience the pressure from land prices earlier.

The findings of this study have practical implications for discussions on retail industry development, site selection for retail businesses and the establishment of sustainable mechanisms for expanding domestic demand.

This paper analyzes the direct and indirect effects of the autonomy of smart home speakers on consumer experience, weighing its benefits and costs in the following areas: usefulness, interactivity, coolness, service failure severity and intrusiveness. Experience value is examined as an antecedent of repurchase intention.

Structural equation modeling is applied to data collected from 607 users of smart home speakers. Mediating effects are examined between autonomy and experience value.

Autonomy has no direct effect on experience value, since the positive effect is fully mediated by interactivity, intrusiveness, perceived usefulness and coolness. Failure severity has no mediating effect and has no influence on experience value. Usefulness, coolness and interactivity show positive mediating effects between autonomy and experience value, while intrusiveness has a negative mediating effect. The better the consumer's experience response, the greater the repurchase intention.

Companies should highlight the benefits (interactivity, usefulness and coolness) and attempt to reduce the costs (intrusiveness) associated with smart device autonomy. Firms can use these aspects to increase the rate of smart-device adoption.

This research contributes to the interactive research literature by empirically examining the mediating effect of interactivity and coolness. Additionally, this research offers evidence of the full mediation effect of usefulness, interactivity, coolness and intrusiveness. Finally, this research shows that failure severity is not always important and that it can be context specific.