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Wearable health devices (WHDs) have demonstrated significant potential in assisting elderly adults with proactive health management by utilizing sensors to record and monitor various aspects of their health, including physical activity, heart rate, etc. However, limited research has systematically explored older adults’ continued usage intention toward WHD. By utilizing the extended unified theory of acceptance and use of technology (UTAUT2), this paper aims to probe the precursors of elderly adults’ continuance intention to use WHD from an enabler–inhibitor perspective.

The research model was developed based on UTAUT2 and examined utilizing the partial least squares technique (PLS). The research data were collected through in-person meetings with older people (n = 272) in four cities in China.

Results reveal that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic values and perceived complexity are the positive predictors of elderly adults’ continuance intention to use WHDs. Technology-related anxiety and usage cost negatively influence the formation of older people’s continuance intention.

This work is an original empirical investigation that draws on several theories as guiding frameworks. It adds to the existing literature on the usage of wearable technologies and offers insights into how the elderly’s intentions to continue using WHDs can be developed. This study broadens the scope of the UTAUT2 application and presents an alternative theoretical framework that can be utilized in future research on the usage behavior of wearable devices by individuals.

Emerging technologies are shaping the way we use information and undergraduates are early adopters of technology; however the purpose of their use of these devices has been of concern. The purpose of this paper is to examine use of internet capable handheld devices among Information Resources Management (IRM) undergraduates at Babcock University, Ilisan, Nigeria.

Non‐experimental ex post facto design was adopted for the study. Total enumeration was used to capture 220 IRM undergraduates. Using an adapted ECAR study, six questionnaire with reliability value (x=0.89) were administered; all questionnaires administered were retrieved and used for the study.

The study revealed that the majority (90 per cent) own handheld devices, used mainly for social networking, checking of information, instant messaging and e‐mails. Most of the students (70 per cent) are frequent users of their devices for internet activities, expending about 2‐100 h on a weekly basis. Factors which include slow network connection, limited access, and other ways of internet access, battery life and cost hinder use of the internet via handheld devices.

The use of internet capable mobile technology is crucial in engaging higher education students.

Recent developments in medical treatments have resulted in the increased use of infusion devices for the administration of highly potent drugs. Drug administration is one of the highest risk areas of clinical practice and infusion devices are associated with a substantial number of adverse drug events. Locally, there was a perception that adverse drug events involving infusion devices appeared to be increasing, and there was anecdotal evidence to suggest that the available number of devices was inadequate to meet the increasing demand. A two‐part, observational audit, carried out in an acute district general hospital, was used to identify weak areas in the systems associated with the use of infusion devices and to implement actions to rectify the weaknesses and consequently reduce the risk to patients and staff.

This paper presents results of work aimed at characterising the zero offset stability in novel thick film strain gauges. The devices studied are z‐axis (k₃₃) load sensors fabricated on insulated stainless steel substrates and include examples of novel commercially developed force sensors. Devices loaded with compressive strains using a purpose designed test jig were found to exhibit a significant zero offset shift, which is negative up to a certain level (typically 1,000 micro strains) and then increasingly positive when strained beyond this point. Repeated cycles of loading then produced a certain level of stability until the previous maximum value of applied strain was exceeded. Temperature coefficient of resistance (TCR) measurements showed the devices to exhibit characteristics that depend significantly on the device geometry. The TCR was found to increase positively with increasing device thickness and surface area. The effect of overglazing the devices was found to decrease the TCR.

The study investigates the consumer’s attitude to using artificial intelligence (AI) devices in hospitality service settings considering social influence, hedonic motivation, anthropomorphism, effort expectancy, performance expectancy and emotions.

This study employed a quantitative methodology to collect data from Bangladeshi consumers who utilized AI-enabled technologies in the hospitality sector. A total of 343 data were collected using a purposive sampling method. The SmartPLS 4.0 software was used to determine the constructs' internal consistency, reliability and validity. This study also applied the partial least squares structural equation modeling (PLS-SEM) to test the research model and hypotheses.

The finding shows that consumer attitude toward AI is influenced by social influence, hedonic motivation, anthropomorphism, performance and effort expectancy and emotions. Specifically, hedonic motivation, social influence and anthropomorphism affect performance and effort expectations, affecting consumer emotion. Moreover, emotions ultimately influenced the perceptions of hotel customers' willingness to use AI devices.

This study provides a practical understanding of issues when adopting more stringent AI-enabled devices in the hospitality sector. Managers, practitioners and decision-makers will get helpful information discussed in this article.

This study investigates the perceptions of guests' attitudes toward the use of AI devices in hospitality services. This study emphasizes the cultural context of the hospitality industry in Bangladesh, but its findings may be reflected in other areas and regions.

The service industry is facing the huge impact of digital transformation, in which artificial intelligence (AI) plays one of the most important roles. This study aims to expand the understanding of the AI acceptance framework and confirm whether consumers’ digital skills have a moderating effect on the research model.

Hypotheses were tested using a data set of 1,641 individuals. Partial least squares structural equation modeling and multi-group analysis were used to estimate the model.

The results indicate that antecedent factors influence consumers’ willingness to use AI devices in services. The two groups of different digitally savvy respondents differ because the influence of anthropomorphism, social influence and hedonic motivation on respondents’ perceived efforts to use AI devices in service delivery depends on respondents’ digital skills.

The novel contribution of this study is reflected in a comprehensive model that explains the moderating effect of individual digital skills on willingness to use AI devices. The attitudes of experienced and digitally skilled consumers are valuable and highlight some important theoretical, practical implications and future lines of research.

Although the use of ultrasonic agitation on quartz crystal devices during PCB cleaning has long been suspected to be detrimental, little or no data exist to substantiate or quantify the resultant effects. This paper summarises the results of a limited study into these effects for a range of quartz crystal devices, using both CFC and aqueous solvents. The variations with exposure time, and the types and mechanisms of failure are discussed. The results are encouraging and suggest that, although these devices are more susceptible to damage than ICs, once manufacturing defects have been screened out they will withstand ultrasonic exposure without deleterious effects for periods several times longer than those used for cleaning PCBs.

The purpose of this paper is to familiarize the reader with the capabilities of EFAB technology, a unique additive manufacturing process which yields fully assembled, functional mechanisms from metal on the micro to millimeter scale, and applications in medical devices.

The process is based on multi‐layer electrodeposition and planarization of at least two metals: one structural and one sacrificial. After a period of initial commercial development, it was scaled up from a prototyping‐only to a production process, and biocompatible metals were developed for medical applications.

The process yields complex, functional metal micro‐components and mechanisms with tight tolerances from biocompatible metals, in low‐high production volume.

The process described has multiple commercial applications, including minimally invasive medical instruments and implants, probes for semiconductor testing, military fuzing and inertial sensing devices, millimeter wave components, and microfluidic devices.

The process described in this paper is unusual among additive fabrication processes in being able to manufacture in high volume, and in its ability to produce devices with microscale features. It is one of only a few additive manufacturing processes that can produce metal parts or multi‐component mechanisms.

This paper aims to propose a model for the provision of EtherNet/IP device‐specific function blocks by discrete industry device vendors and to outline how multi‐vendor network environments can benefit from the use of function block programming to encapsulate code for configuring communication, diagnostics and visualisation tools.

The approach makes use of function blocks to facilitate simpler use of the EtherNet/IP protocol. The EtherNet/IP messaging mechanisms are described, along with the methodology for configuring communication for both time‐critical and non‐time‐critical messaging, including device‐specific status and diagnostic data. The same approach is utilised for communication to visualisation systems.

Validation of the model was found to make data transfer between controller and device easier and faster, owing to a reduction in the number of operations a programmer was required to implement. Implementation time was found to be just 6.25 per cent of that needed to achieve the same functionality without the use of function blocks.

The use of function blocks to describe EtherNet/IP communication was tested with a commercial product in an application environment, and subsequently adopted by multiple vendors. A reduction in technical support was noted owing to the use of identical interfaces for multiple device instances. With complete device functionality described and readily available to the end‐user, greater device functionality is utilised and more often may otherwise not have been implemented for time, cost, or complexity reasons.

In the discrete industry, it is uncommon for device vendors to provide device‐specific function blocks describing network communication interfaces and functionality, since they reside in the controller, not the device. This research presents a novel method that provides a consistent, yet flexible approach for the configuration of EtherNet/IP communication for differing devices from multiple vendors within a controller.

Currently, one of the most significant challenges organizations face is that corporate data is being delivered to mobile devices that are not managed by the information technology department. This has security implications regarding knowledge leakage, data theft, and regulatory compliance. With these unmanaged devices, companies have less control and visibility, and fewer mitigation options when protecting against the risks of cyber-attacks. Therefore, the purpose of this study is to investigate how millennials' use of personal mobile devices for work contributes to increased exposure to cyber-attacks and, consequently, security and knowledge leakage risks.

This research used a mixed-method approach by using survey questionnaires to elicit the views of millennials regarding the cybersecurity risks associated with bring your own device policies and practices. Interviews were done with security personnel. Data analysis consisted of descriptive analysis and open coding.

The results indicate that millennials expect to have ready access to technology and social media at all times, irrespective of security and privacy concerns. Companies also need to improve and enforce bring your own device policies and practices to mitigate against knowledge leakage and security risks. Millennials increasingly see the use of personal devices as a right and not a convenience. They are expecting security measures to be more seamless within the full user experience.

This paper can help organizations and millennials to understand the security risks entering the workforce if the threats of using privately owned devices on the job are ignored and to improve organizational performance.