Search results

A wide gap exists between the innovation and development of self-monitoring, analysis and reporting technology (SMART) technologies and the actual adoption by older adults or those caring for them. This paper aims to increase awareness of available technologies and describes their suitability for older adults with different needs. SMART technologies are intelligent devices and systems that enable autonomous monitoring of their status, data analysis or direct feedback provision.

This is a scoping review of SMART technologies used and marketed to older adults or for providing care.

Five categories of SMART technologies were identified: (1) wearable technologies and smart tools of daily living; (2) noninvasive/unobtrusive technology (i.e. passive technologies monitoring the environment, health and behavior); (3) complex SMART systems; (4) interactive technologies; (5) assistive and rehabilitation devices. Technologies were then linked with needs related to everyday practical tasks (mainly applications supporting autonomous, independent living), social and emotional support, health monitoring/managing and compensatory assistance rehabilitation.

When developing, testing or implementing technologies for older adults, researchers should clearly identify concrete needs these technologies help meet to underscore their usefulness.

Older adults and caregivers should weigh the pros and cons of different technologies and consider the key needs of older adults before investing in any tech solution.

SMART technologies meeting older adult needs help support both independent, autonomous life for as long as possible as well as aiding in the transition to assisted or institutionalized care.

This is the first review to explicitly link existing SMART technologies with the concrete needs of older adults, serving as a useful guide for both older adults and caregivers in terms of available technology solutions.

Consumers' perceptions of product intelligence affect their willingness to accept smart offerings. This paper explores how people perceive various smart products based on their smartness profiles, composed of five distinct smartness facets. Additionally, the study investigates how these perceptions of product intelligence impact consumers' evaluation of factors that either promote or impede the adoption of smart products. These factors are examined as potential mediators in the adoption process. This paper aims to determine if the value-based adoption model can be applied to a broad range of smart service systems.

Consumers assessed one of 28 smart products in a scenario-based quantitative study. Multilevel structural equation modeling (SEM) is used to test the conceptual model, taking the nested data structure into account.

The findings show that product smartness essentially enhances usage intention via adoption drivers (enjoyment and usefulness) and reduces usage intention via adoption barriers (intrusiveness). In particular, the ability to interact in a humanlike manner increases the benefits consumers perceive, which in turn increases consumer acceptance. Only the smartness characteristic of awareness impairs usage intention, mediated by the perceived benefits of enjoyment and usefulness.

In contrast to previous research, which usually focuses on single smart products, this work examines a variety of different products, which allows for better transferability of the results to other smart offerings. Furthermore, prior research has mainly focused on single facets of product smartness or researched smartness on an aggregated level. By considering the consumer perception of each smartness facet, the authors gain deeper insights into the perceptual differences regarding product smartness and how this affects technology adoption via conflicting key acceptance drivers and barriers.

To meet customers' expectations on shorter lead times, high product availability, flexibility, and variation in delivery and return options, retailers have turned their attention to warehousing and are making big investments in technology. Currently, technology providers are pushing for smart warehousing, a new and under-researched phenomenon. This study aims to conceptualize the term and examine pathways toward implementing smart warehousing.

An exploratory survey was administered to 50 leading Swedish retailers in varying segments. A two-tailed t-test for equality of means was used to detect significant differences between current and future states.

The study found that future smart warehouses will be automated, autonomous, digital, and connected, but that retailers will follow different paths along this journey, driven by contextual trends, e.g. sales growth, wider product assortment, shorter lead-time offerings, and integration of brick-and-mortar and online stores. Interestingly, the study revealed that many of the retailers that aim to create smart warehouses in five years are not the retailers with the most developed technology today.

The paper operationalizes smart warehousing in two dimensions: degree of automation and degree of digitalization and connectivity of information platforms. Based on the findings, 16 theoretical propositions are put forth that, based on contextual factors, explain different pathways for retailers to implement smart warehousing.

The empirical insights and theoretical discussions provide practically useful guidance, including outlined trends, for selecting and benchmarking automation and complementary technologies in warehouse operations.

This paper conceptualizes and operationalizes smart warehousing – an original approach. It is also one of the first to investigate the technological transformation in retail warehousing empirically, explaining how and why retailers choose different pathways toward smart warehousing.

The purpose of the article is to analyze the influence of output control, autonomous motivation and controlled motivation on task performance of public servants at home office owing to the COVID-19 pandemic.

A survey was conducted based on the perception of 236 public servants, and structural equation modeling (SEM) technique was used for data analysis.

Both autonomous motivation and output control are positively and significantly related to task performance.

The present study expands the literature with information about individual performance and management control, which can be related to the control, motivation and task performance of public servants at home office in a pandemic context.

The results could offer a basis for understanding how managers can deal with the challenges while at home office. They can also provide managers with information that they can use to build management strategies to foster the performance of public servants at home office.

Home office can decrease commuting to a central workplace, alleviate traffic problems and reduce car pollution. It also allows for business continuity in the face of storms and pandemics.

Most studies about home office, COVID-19 and task performance have addressed personal, professional and organizational characteristics. However, little is known about the analysis of combinations of the following constructs: output control, autonomous and controlled motivations, and how both affect task performance of public servants.

This paper is premised upon an analysis of 26 cities within the UK regarding their smart city projects. Each city was analyzed through news articles, reports and policy documents to ascertain the level of each city's development as a smart city. Each was coded by separating the projects into five types, which were ranked on a scale from 0 (no plans for use) to 5 (project type in use). The most common types are the provision of open data and the creation of business ecosystems as the primary driver of the smart city. However, many councils and enterprises proclaim smartness before the technology is actually in use, making it difficult to separate what is utilised and what is under development. Therefore, this paper further carried out an analysis of 20 cities and their intended plans to usher in the smart city, to observe the expected emergence of smart city technology. This was achieved by interrogating various roadmaps and policy documents produced by the respective cities. It was found that the most prevalent form of emergent smart city technology is the rollout of 5G and increased educational programmes alongside a proliferation of internet of things and electric vehicle usage.

An examination of the research literature suggests that no attempt has been made to examine learner autonomy development within female university-level English as a Foreign Language (EFL) students in the Kingdom of Saudi Arabia. Given that English has become the world’s predominant lingua franca for academia, business, and politics, the purpose of this paper, therefore, is to fill this gap in the literature.

This is a qualitative case study that aims to explore learner autonomy in vocabulary development.

The results showed that teachers are cognizant of the concept of learner autonomy. However, they are not all certain of the benefits of autonomous vocabulary learning. This study reveals how six adult learners’ levels of autonomy are highly influenced by their teachers’ practices. This study draws out suggestions for English language teachers who promote learner autonomy theory and practice. It also offers specific guidance, models, and adapted learning approaches of how to promote autonomy inside the classroom.

This study encountered several limitations. The first is time: the study took place over the course of two months in the Summer of 2016, when students were fully encumbered with schoolwork and social duties. The recruitment of participants during that time was a challenge. Some of the students who agreed to participate in the study were not fully engaged in the research. Additionally, the study faced difficulties with faculty commitment – one of the professors delayed the interview session multiple times and perceived some of the interview questions negatively. In addition, Dickinson’s (1993) characteristics of learner autonomy are largely related to the opportunities that are presented to the students by the teacher. It appears that Dickinson’s scale was meant to be used to identify students’ level of autonomy, particularly inside the classroom. However, because of some of the examples of activities pertaining to how they learned vocabulary outside the classroom, they were not related to classroom teaching. Also, the number of the participants is limited in this study.

A future study could be undertaken to measure and quantitatively analyze learners’ vocabulary development on a larger scale. Research could also be conducted using a pretest, an intervention, and a posttest to measure the effectiveness of learning vocabulary autonomously. In addition, other pedagogical approaches could be utilized to measure EFL students’ intrinsic motivation and autonomy, which play critical roles in learning. Allowing learners to self-select their preferred method of learning can help them to develop their vocabulary knowledge. The findings from this study reveal that learner autonomy plays a significant role in enhancing EFL students’ vocabulary development.

When students learn vocabulary autonomously, they are better able to source the lingua franca’s core pronunciation of a word and its spelling without the influence of the teacher’s cultural background. Given the magnitude of teachers’ workloads, they may lack the time for designing lessons that adequately meet the needs of diverse learners. Therefore, the practical way to ameliorate the problem of inadequate time is to provide them with methods (e.g. using strategies such as inquiry-based learning, problem-based learning, and project-based learning) that they can use to more readily foster learner autonomy.