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Purpose — The Department for Transport's 2011 GPS National Travel Survey (NTS) pilot study investigated whether personal GPS devices and automated data processing could be used in place of the 7-day paper diary. Using GPS technology could reduce the relatively high burden that the diary places upon respondents, reduce costs and improve data quality.

Design/methodology/approach — Data was collected from c.900 respondents. Practical changes were made to the existing methodology where necessary, including the collection of information to support data processing. Processing was undertaken using the University of Eindhoven's Trace Annotator. Results from the GPS pilot were then compared to those from the main NTS diaries for the same period.

Findings — There were no insurmountable problems using GPS devices to collect data; however, the processed GPS data did not resemble the diary outputs, making GPS unsuitable for the NTS. The GPS data produced fewer and longer trips than the diary data. The purpose of a quarter of the GPS trips was unclear, and a disproportionate share started and ended at home.

Research limitations — Further work to manually inspect trips identified via validation as unfeasible and subsequently refine the processing algorithms would have been desirable had time permitted. GPS data processing may have been hindered by missing GPS data, particularly in the case of rail travel.

Originality/value — This research used an accelerometer-equipped GPS device to better predict the method of travel. It also combined addresses that respondents reported having visited during the travel week with GIS data to code the purpose of trips without using a post-processing prompted-recall survey.

Through observing the use of iPhone and iPad by a child between the ages of two and four years and a half, this study presents accounts on the child’s use of and interaction with these devices, as well as her interaction with the physical environment.

Unstructured, naturalistic observation was employed in this study. The study is grounded in theories of user engagement with digital and physical objects.

A child’s interaction with touch-based devices does not deter the child from engaging effectively with the physical environment or from activities centered on creativity and interpersonal engagement. A child is able to move back and forth seamlessly between the physical and digital environments.

Findings from this study could help parents, educators, and system designers understand why and how toddlers and preschoolers use and engage with touch-based devices, as well as the kind of tasks they perform.

Studies of toddlers’ or preschoolers’ information behavior and interaction with touch-based devices are scarce. Children born toward the end of the first decade of the twenty-first century are growing up with a propensity to using touch-based devices. This study provides a framework for effective usage of such devices while ensuring all-round cognitive and physical development of the child.

Rather than organize as traditional firms, many of today’s companies organize as platforms that sit at the nexus of multiple exchange and production relationships. This chapter considers a most basic question of organization in platform contexts: the choice of boundaries. Herein, I investigate how classical economic theories of firm boundaries apply to platform-based organization and empirically study how executives made boundary choices in response to changing market and technical challenges in the early mobile computing industry (the predecessor to today’s smartphones). Rather than a strict or unavoidable tradeoff between “openness-versus-control,” most successful platform owners chose their boundaries in a way to simultaneously open-up to outside developers while maintaining coordination across the entire system.

This chapter focuses on the regulatory scheme used by the United States Food and Drug Administration (FDA) to approve medical products for commercial use in this country. After providing a brief introduction of the role of the FDA and the scope of the products regulated by the agency, the chapter outlines the common characteristics of premarket controls for drugs, medical devices, and biological products, including how clinical trials of these medical products are conducted with humans as part of the premarket approval process. The chapter then provides a detailed examination of the particular regulatory scheme for each product category. The chapter concludes with an analysis of how FDA regulates emerging medical technologies, such as cellular and tissue-engineered products. FDA regulates a variety of products intended to diagnose, cure, mitigate, treat, or prevent diseases or conditions under a legal scheme established in the Federal Food, Drug, and Cosmetic Act and the Public Health Service Act and regulations promulgated by FDA. How a product is classified (drug, device, or biologic) forecasts the regulatory approval pathway that must be followed to bring the product to market. This chapter provides education and direction regarding regulatory requirements that must be met to market medical products in the United States.

Industry 5.0 focuses on human–machine collaboration and sustainability with collaborative robots (CoBots) and artificial intelligence (AI) penetration via different technology-enabled devices. Such devices have gained increasing interest to facilitate more efficient, effective, and budget-friendly outcomes in major sectors, including healthcare. The healthcare sector has been evolving at an increasing speed across the globe. In this context, challenges and opportunities have arisen in terms of improving patient outcomes and improving the efficiency of healthcare practitioners’ work. Hence, the adoption of CoBots and AI-enabled devices in this sector is now crucial, and they have been implemented in several domains in healthcare, including diagnosis, medication development, and treatment. However, the successful implementation depends on the users’ attitudes toward the adoption. While extant studies have shown that such devices have significant practical advantages from the patients’ perspective, little is known about healthcare practitioners’ willingness to adopt tech-enabled devices. Thus, this study focuses on the adoption of CoBots and AI-enabled devices in the healthcare sector by examining Turkish medical doctors’ attitudes toward adopting them in their daily operations. The study supplements current literature on Industry 5.0 in healthcare, sheds light on real-life practices, and proposes future directions.

In the recent past, mobile technologies that track the movement of people, freight and vehicles have evolved rapidly. The major categories of such technologies are reviewed and a number of attributes for classification are proposed. The willingness of people to engage in such technologically based surveys and the reported biases in the make-up of the sample obtained are reviewed. Lessons are drawn about the nature of the samples that can be achieved and the representativeness of such samples is discussed. Data processing is addressed, particularly in terms of the processing requirements for logged data, where additional travel characteristics required for travel analysis may need to be imputed. Another issue explored is the reliability of data entered by respondents in interactive devices and concerns that may arise in processing data collected in real time for prompting or interrogating respondents. Differences, in relation to the data user, between data from mobile devices and data from conventional self-report surveys are discussed. Potentials that may exist for changes in modelling from using such data are explored. Conclusions are drawn about the usefulness and limitations of mobile technologies to collect and process data. The extent to which such mobile technologies may be used in future, either to supplement or replace conventional methods of data collection, is discussed along with the readiness of the technology for today and the advances that may be expected in the short and medium term from this form of technology.

Research into the autonomous use of MP3 audio recorders by students in UK higher education demonstrated that students were innovative in their autonomous use of the devices. They used them to capture learning conversations from formal and informal situations to personalise and enhance their learning. However, today smartphones and other smart devices have replaced the necessity for students to carry multiple mobile devices including MP3 recorders. This chapter builds upon the earlier work and presents a small qualitative study into how students are autonomously using their smart devices to support their learning. The research explores the hypothesis that students are being innovative in the ways in which they are using their smart devices to support their formal and informal learning. The study involved five students who own smart devices who were invited to discuss their ownership of smartphone and tablet technologies and the ways they used them in their studies. The students first completed a short questionnaire and were then interviewed in small groups. The results agree with previous research into student use of smart devices and describe autonomous engagement facilitated by personally owned smart technologies. The study identifies continuous patterns of pervasive engagement by students and concludes that more thought should be given to disruptive innovation, digital literacy and employability.

Mobile devices, through their capacity to enable anytime-anywhere learning as well as capture, annotate and share multimedia, offer entirely new ways for students to learn. This chapter provides review of mobile learning with a particular focus on learning design. First various definitions and characteristics of mobile learning are examined in order to establish a common understanding of its boundaries and meaning. Example uses of mobile learning in schools and higher education are described as a way to provide a more concrete understanding of design possibilities. Benefits of mobile learning are unpacked, as distilled from the literature, including the ability to provide flexible, accessible, authentic, personalized, ubiquitous and seamless learning. Mobile learning issues are also examined, including technical problems, cognitive load issues, distraction, equity and safety. A primary school science and a university pre-service teacher education vignette are described so as to offer a more in-depth illustration of what mobile learning can look like and achieve in practice. Finally, mobile learning research findings and observations are synthesized into recommendations, to inform and guide evidence-based mobile learning design practices. Opportunities for future research and investigation are also discussed.

In this chapter, the authors theorize organizational integration by extending, elaborating, and combining various theoretical perspectives, such as structural contingency theory, organization economics, and organizational culture. The aim of this study is to provide the foundation for a holistic theory of integration that examines the different relevant facets of integration and a comprehensive set of tools – integrative devices – by which integration can be sought by those who design the organization. To this end, the authors examine the integration challenge that arises from various types of subunit interdependence – pooled, sequential, and reciprocal – and theorize which configurations of integrative devices are more likely to be effective in a given task environment. The authors close by discussing directions for future research on organizational integration.