Adoption Of Wearable Technology Research Articles

Wearable Technology in the Management of Chronic Diseases: A Growing Concern

ABSTRACTWearable technology in the management of chronic diseases has emerged as a significant and growing concern in healthcare. These technologies, including smartwatches, fitness trackers, and other sensor‐based devices, offer continuous monitoring and real‐time data collection for individuals with chronic conditions. The data collected can include vital signs, activity levels, sleep patterns, and more, providing valuable insights into a patient's health. This trend is particularly relevant in the context of chronic diseases, such as diabetes, cardiovascular conditions, and respiratory disorders, where continuous monitoring is crucial for effective management. Wearable devices empower patients to actively participate in their healthcare by facilitating self‐monitoring and promoting healthy behaviors. Healthcare providers can also leverage the data generated by these devices to make informed decisions, personalize treatment plans, and intervene proactively. However, challenges exist, such as data security and privacy concerns, the accuracy of the collected information, and the need for effective integration into existing healthcare systems. Despite these challenges, the increasing adoption of wearable technology in chronic disease management reflects a promising avenue for improving patient outcomes and reducing healthcare costs through preventive and personalized care.

A brief report: Lessons learned using wearable technology to collect data from adults receiving medications for opioid use disorder

ABSTRACT Background Incorporating wearable technology into substance use disorder research enables continuous, objective, and remote data collection, facilitating symptom monitoring to prevent relapse. However, implementation challenges may hinder data collection. This paper aims to assess adherence patterns to a wrist-worn wearable device, and to share lessons learned from incorporating wearable technology to collect physiological data from adults with opioid use disorder. Methods Employing a prospective observational design, we used convenience sampling to recruit adults receiving medications for opioid use disorder in outpatient settings. Wearable adherence was measured by days and nights worn over eight weeks, acceptability by a visual analog scale, and anecdotal notes tracked study activities and challenges. Results Twenty-three participants completed baseline, and 16 (70.0%) completed the study. Daytime and nighttime wearable adherence averaged 60.1% and 47.7%, respectively. Wearable adherence was highest at the earlier phase of the study (67.7%) and plateaued after overtime. User-related and technical challenges included digital illiteracy, protocol nonadherence, low motivation, measurement errors, and short battery life. Unique challenges included wearable design concerns and sleep problems. Conclusions This study demonstrates the feasibility of wearable use and highlights the potential to overcome challenges. Proactively sharing insights can facilitate wearable technology adoption for both participants and researchers.

Characterising Skin Electrical Impedance Using Tape Stripping Methods: A Bioelectrical Study of a Porcine Model.

Background Recent advancements in ultra-low power electronics and wireless devices have facilitated the widespread adoption of wearable technology for fitness and health monitoring, paving the way for personalized medicine. Microneedle-based devices, comprising small epidermal patches that penetrate the skin's stratum corneum to potentially access biomarkers in the extracellular fluid of the viable epidermis, represent a promising innovation in this field. Objectives This project aimed to develop and validate a novel method to evaluate microneedle engagement in the skin in real-time. To our knowledge, there are no studies published to date that have characterized the electrical impedance of stratum corneum and epidermis using the tape stripping method to selectively remove cell layers. Additionally, no studies have been published comparing the electrical impedance of fresh to frozen-thawed porcine skin. The objective of this study was to develop and validate a novel method to evaluate microneedle engagement in skin, in real-time, that does not require processing of the tissue. Methods A tape stripping technique was employed to selectively remove the stratum corneum from fresh and frozen-thawed porcine skin samples which were then electrically characterized using an excitation frequency of 5 kHz with a peak Voltage of 1 V. Results This study demonstrated a mean impedance reduction of 97.08 ± 1.3 % for fresh porcine skin, and 98.04 ± 0.3 % for frozen-thawed porcine skin when transitioning from the surface stratum corneum to the viable epidermis. The correlation between the reduction of impedance and the number of tape strips across all 18 test sites was significant (r = 0.98, p < 0.00001). However, comparing the skin impedance of the fresh and frozen-thawed specimens showed poor equivalence, with the frozen-thawed sites approximately 5.5 times the impedance of the fresh sites before any tape stripping, and 4.19 times greater after 30 tape strips. Conclusions These findings suggest that monitoring for an interelectrode impedance decrease of greater than 95% between two projections of a microneedle device could provide a rapid and effective evaluation of skin engagement, crucial for advancing the development and clinical application of microneedle-based technologies in personalized medicine. The study also underscores the impact of the freeze-thaw process on the mechanical and electrical properties of skin, which is crucial for standardizing testing protocols.

A Comprehensive Review on Advancements in Wearable Technologies: Revolutionizing Cardiovascular Medicine.

Wearable technologies have emerged as powerful tools in healthcare, offering continuous monitoring and personalized insights outside traditional clinical settings. These devices have garnered significant attention in cardiovascular medicine for their potential to transform patient care and improve outcomes. This comprehensive review provides an overview of wearable technologies' evolution, advancements, and applications in cardiovascular medicine. We examine the miniaturization of sensors, integration of artificial intelligence (AI), and proliferation of remote patient monitoring solutions. Key findings include the role of wearables in the early detection of cardiovascular conditions, personalized health tracking, and remote patient management. Challenges such as data privacy concerns and regulatory hurdles are also addressed. The adoption of wearable technologies holds promise for shifting healthcare from reactive to proactive, enabling precision diagnostics, treatment optimization, and preventive strategies. Collaboration among healthcare stakeholders is essential to harnessing the full potential of wearables in cardiovascular medicine and ushering in a new era of personalized, proactive healthcare.

Use of wearable technologies in health promotion in Human Medicine students

INTRODUCTION: In the current era marked by rapid technological advances, the integration of wearable devices into everyday life has been a remarkable phenomenon. These devices, ranging from smart watches to physical activity monitors, have gained popularity and have become ubiquitous tools that track various aspects of health and wellness.OBJECTIVE: To characterize the use of wearable technologies in health promotion in Human Medicine students.METHODS: The research is characterized by its cross-sectional and quantitative nature, with a basic and descriptive non-experimental design. The study population consisted of 128 students of Human Medicine at a private university located in Arequipa, Peru. Data collection was carried out through the use of surveys and questionnaires.RESULTS: Regarding the adoption and use of wearable technologies, 35.94% (46) reported a moderate level, 32.81% (42) indicated a high level, while 31.25% (40) indicated a low level. This finding suggests a balanced and non-extreme adoption of wearable technologies among the students examined in the context of health promotion.CONCLUSIONS: We were able to determine a moderate level of adoption and use of wearable technologies among Human Medicine students to promote health and wellness. This result points to the relevance of these technologies in health-related activities, highlighting a particular emphasis on a moderate level of use.

Research and application of the global positioning system (GPS) clustering algorithm based on multilevel functions

With the rapid development and widespread adoption of wearable technology, a new type of lifelog data is being collected and used in numerous studies. We refer to these data as informative lifelog which usually contain GPS, images, videos, text, etc. GPS trajectory data in lifelogs is typically categorized into continuous and discrete trajectories. Finding a point of interest (POI) from discrete trajectories is a challenging task to do and has caught little attention so far. This paper suggests an LP-DBSCAN model for mining personal trajectories from discrete GPS trajectory data. It makes use of the hierarchical structure information implied in GPS trajectory data and it is suggested a variable-levels, variable-parameters clustering method (LP-DBSCAN) based on the DBSCAN algorithm to increase the precision of finding POI information. Finally, the Liu lifelog dataset is subjected to a systematic evaluation. In terms of GPS data that are not evenly distributed geographically, the experimental results demonstrated that the proposed algorithm could more accurately identify POI information and address the adverse effects caused by the global parameters of the traditional DBSCAN algorithm.

CHARACTERISTICS OF MODERN TECHNOLOGIES IN THE TRAINING AND COMPETITIVE PROCESS OF ELITE ATHLETES IN SPORTS GAMES

Introduction. The integration of modern technologies is crucial for enhancing elite athlete training, offering cutting-edge tools for performance optimization. The widespread use of technology in elite sports, including video assistant referees and wearable sensors, providing real-time biomechanical oversight, challenges related to ethics, data protection, and regulatory frameworks require resolution for widespread implementation. This study aims to conduct a thorough assessment of the integration of modern technologies, specifically examining their efficacy in optimizing the training performance and competitive outcomes of elite athletes in sports games. Material and Methods. Bibliometric techniques and expert evaluations were used to determine the modern trends in innovative technologies to improve the effectiveness of elite athletes` preparation. A thorough biomechanical analysis utilizing diverse methods was performed on 41 elite athletes in sports games. Results. The examination of sports science literature and expert assessments unveils predominant trends in the utilization of innovative technologies in elite sports, with a particular emphasis on the widespread adoption of wearable technology, biomechanics and motion analysis, and recovery and regeneration techniques. The outcomes from OpenCap biomechanical analysis show a high correlation (r=0.99, α = 0.05) between the symmetry of knee joint angles during barbell squats by elite athletes, confirming the efficacy of real-time monitoring exercise techniques. The Romberg coefficient of 194.5% ± 2.47 indicates a notable degree of stability among elite athletes. Conclusions. This study enhances the comprehension of innovative technologies, exemplified by OpenCap biomechanical analysis, and their effectiveness in optimizing the training performance and competitive outcomes of elite athletes in sports games. The findings provide valuable insights for coaches, sports scientists, and researchers aiming to optimize training methods and elevate athlete performance in sports games.

Evaluation of atrial fibrillation using wearable device signals and home blood pressure data in the Michigan Predictive Activity & Clinical Trajectories in Health (MIPACT) Study: A Subgroup Analysis (MIPACT-AFib).

The rising adoption of wearable technology increases the potential to identify arrhythmias. However, specificity of these notifications is poorly defined and may cause anxiety and unnecessary resource utilization. Herein, we report results of a follow-up screening protocol for incident atrial fibrillation/flutter (AF) within a large observational digital health study. The MIPACT Study enrolled 6,765 adult patients who were provided an Apple Watch and blood pressure (BP) monitors. From March to July 2019, participants were asked to contact the study team for any irregular heart rate (HR) notification. They were assessed using structured questionnaires and asked to provide 6 Apple Watch EKGs. Those with arrhythmias or non-diagnostic EKGs were sent 7-day monitors. The EHR was reviewed after 3 years to determine if participants developed arrhythmias. 86 participants received notifications and met inclusion criteria. Mean age was 50.5 (SD 16.9) years, and 46 (53.3%) were female. Of 76 participants assessed by the study team, 32 (42.1%) reported anxiety surrounding notifications. Of 59 participants who sent at least 1 EKG, 52 (88.1%) were in sinus rhythm, 3 (5.1%) AF, 2 (3.4%) indeterminate, and 2 (3.4%) sinus bradycardia. Cardiac monitor demonstrated AF in 2 of 3 participants with AF on Apple Watch EKGs. 2 contacted their PCPs and were diagnosed with AF. In total, 5 cases of AF were diagnosed with 1 additional case identified during EHR review. Wearable devices produce alarms that can frequently be anxiety provoking. Research is needed to determine the implications of these alarms and appropriate follow-up.

Indoor and outdoor human behavior and myopia: an objective and dynamic study.

Myopia holds significant public health concern given its social, ocular disease and economic burdens. Although environmental factors are primarily to blame for the rapid rise in prevalence, key risk factors remain unresolved. The aim of this study was to objectively characterize, using a wearable technology, the temporal indoor and outdoor behavioral patterns and associated environmental lighting characteristics of young myopic and nonmyopic University students. Participants were recruited to continuously wear an Actiwatch for 3 weeks, during either or both academic and non-academic periods. The device allows continuous recording of activity and incident light. Recorded illuminance levels were used as a proxy for outdoors (>1,000 lux), with the dynamics (interval frequency and duration) of indoor and outdoor activities, as well as lighting characteristics derived. In addition, participant input regarding near work was obtained daily. Participants were classified by both myopia and axial length status (based on collected refractive error and biometry data) for the purpose of data analysis. A total of 55 students, aged 18 to 25 years of age, participated. Overall, the dosing of indoor and outdoor activities was similar across participants, regardless of myopia status, during the academic period. Nonetheless, an apparent difference in the timing of outdoor activities was noted with myopes going outdoors later in the day, particularly during the weekend (p = 0.03). While a trend was observed between increased lighting levels experienced outdoors and shorter axial lengths, there was no significant relationship with myopia status. Noteworthy, participants generally significantly overestimated time spent outdoors, compared to Actiwatch-derived estimates of the same. While the findings from this cohort of young adult students did not reveal substantial myopia-related differences in behavior, the power of a more objective and dynamic approach to quantifying behavior cannot be understated, providing argument for general adoption of wearable technologies in future clinical myopia studies.

Health Data on the Go: Navigating Privacy Concerns with Wearable Technologies

AbstractThe escalating adoption of wearable technology for health data monitoring has led to the real-time aggregation of personal information. This phenomenon has fuelled heightened apprehensions about data security and privacy, given the storage, processing, and sharing of personal health data by corporations. Regulatory frameworks have been enacted to safeguard individual privacy rights, as exemplified by the General Data Protection Regulation (GDPR). This research paper, by Ms Varda Mone and Ms Fayazullaeva Shakhlo, offers an overview of extant literature on privacy apprehensions concerning wearable devices, conducting an exhaustive review to discern pivotal privacy issues and proffer prospective remedies. Specifically, the paper delineates the ensuing privacy concerns associated with wearables. Predominantly, wearables introduce security vulnerabilities that may facilitate the misappropriation, compromise, or revelation of delicate health data. The copious health information amassed by wearables can be potentially sold or divulged to external parties’ sans user cognisance or consent. Furthermore, the deployment of wearable technology harbours the potential for discriminatory practices against those with disabilities or chronic ailments. Additionally, apprehensions pertaining to privacy and surveillance stem from the capacity of wearable devices to monitor and trace an individual's movements and activities. To conclude, the paper deliberates on plausible measures to address privacy concerns pertaining to wearable devices, encompassing: a) Fortifying the security apparatus of wearable devices, b) Amplifying user autonomy over their health data, and c) Regulating the collection and utilisation of user health data by wearables. The paper asserts that the amelioration of these privacy concerns is indispensable for leveraging wearable technology's potential to enhance human well-being while ensuring the preservation of personal privacy.

Awareness and adoption of wearable technologies for health and safety management in the Nigerian construction industry

PurposeTechnologies have had a positive impact on the construction industry. Technologies such as BIM, automation, augmented and virtual reality, Internet of Things and robotics have been adopted by construction firms to enhance productivity. However, not much research has been done on the awareness and adoption of wearable technologies for health and safety (H&amp;S) management. This paper investigates the level of awareness and adoption of wearable technologies for H&amp;S management in the Nigerian construction industry.Design/methodology/approachA quantitative research method was adopted for the study. An electronic questionnaire format was used as an instrument to collect the data. Both descriptive (mean score) and inferential statistics (Kruskal–Wallis test) were used to analyse the data.FindingsThe results indicate that organisations rarely use H&amp;S wearable devices for H&amp;S management although professionals within the construction industry are somewhat aware of the common H&amp;S wearable devices. The findings further indicate that all 11 variables were perceived as “rarely adopted”, whereas 2 variables were perceived as “aware”, 3 variables as “slightly aware” and the remaining 6 variables as “somewhat aware”.Research limitations/implicationsData were collected from only construction professionals working in government agencies, consultancy firms and grade D contracting firms in Lagos and Abuja. For a broader perspective, a study that expands the number of states and categories of construction firms is recommended.Practical implicationsThe construction industry in Nigeria can use the recommendations to improve H&amp;S management on site. Moreover, the recommendations can contribute to the development of policies to promote the adoption of wearable technologies in construction sites.Originality/valueResearch on wearable technologies, particularly in the Nigerian construction industry, is at the developing stage. With this article, the authors contribute to the body of knowledge in this area of research.

BIBLIOMETRIC ANALYSIS ON BIG DATA APPLICATIONS IN INSURANCE SECTOR: PAST, PRESENT, AND FUTURE RESEARCH DIRECTIONS

In this study, the key areas and current trends in the field of big data applications in the insurance industry are identified, along with suggestions for future research initiatives. We identified the most prominent authors, journals, organizations, and countries based on their total publications and citations, showing their significance within the network, using bibliometric analysis on a sample of 191 articles retrieved from Scopus from 1976 to 2021. VOSviewer and R-Biblioshiny tools were used to generate the bibliometric output on these retrieved papers. The findings showed that although while a good number of writers from other parts of the world contributed to the literature on big data applications in the insurance industry, during this time, most research papers have listed the United States, India, and China as their affiliated countries. The yearly publication was either one or two, with some discontinuity, from 1976 to 2011, but since 2012, it has increased, exhibiting an exponential growth tendency. The three journals “Risks,” “Applied Stochastic Models in Business and Industry,” and “Expert Systems with Applications” are the most popular for including a sizable number of papers in the field of big data technologies in the insurance sector. Each of the top 10 authors in this field published two research papers during these 46 years. Seven areas, including fraud detection and prevention, risk assessment, pricing &amp; rate making, technology utilization, risk management, claim processing &amp; prediction, and finally digitalization, were the major focus of research papers on bigdata applications in the insurance business. The human-centered AI system development, adoption of wearable technology, personalization, and other topics were found to have received very little attention in this study. As a result, the researchers may now direct future research in this area. This study is completely new of its kind in the domain of insurance though few documents are available on the broad concept of finance.

Fitbit Data to Assess Functional Capacity in Patients Before Elective Surgery: Pilot Prospective Observational Study.

Preoperative assessment is crucial to prevent the risk of complications of surgical operations and is usually focused on functional capacity. The increasing availability of wearable devices (smartwatches, trackers, rings, etc) can provide less intrusive assessment methods, reduce costs, and improve accuracy. The aim of this study was to present and evaluate the possibility of using commercial smartwatch data, such as those retrieved from the Fitbit Inspire 2 device, to assess functional capacity before elective surgery and correlate such data with the current gold standard measure, the 6-Minute Walk Test (6MWT) distance. During the hospital visit, patients were evaluated in terms of functional capacity using the 6MWT. Patients were asked to wear the Fitbit Inspire 2 for 7 days (with flexibility of -2 to +2 days) after the hospital visit, before their surgical operation. Resting heart rate and daily steps data were retrieved directly from the smartwatch. Feature engineering techniques allowed the extraction of heart rate over steps (HROS) and a modified version of Non-Exercise Testing Cardiorespiratory Fitness. All measures were correlated with 6MWT. In total, 31 patients were enrolled in the study (n=22, 71% men; n=9, 29% women; mean age 76.06, SD 4.75 years). Data were collected between June 2021 and May 2022. The parameter that correlated best with the 6MWT was the Non-Exercise Testing Cardiorespiratory Fitness index (r=0.68; P<.001). The average resting heart rate over the whole acquisition period for each participant had r=-0.39 (P=.03), even if some patients did not wear the device at night. The correlation of the 6MWT distance with the HROS evaluated at 1% quantile was significant, with Pearson coefficient of -0.39 (P=.04). Fitbit step count had a fair correlation of 0.59 with 6MWT (P<.001). Our study is a promising starting point for the adoption of wearable technology in the evaluation of functional capacity of patients, which was strongly correlated with the gold standard. The study also identified limitations in the availability of metrics, variability of devices, accuracy and quality of data, and accessibility as crucial areas of focus for future studies.

Strategic Communication and Artificial Intelligence: Reviewing Emerging Innovations and Future Directions

This review examines the adoption of artificial intelligence (AI) as a novel technology for strategic communication. This study includes a survey of pertinent literature that highlights innovative communication linked to AI applications in public relations, marketing and branding, political communication, and customer relations with the goal of enlightening both research and practice. Emerald Insight and Google Scholar, two essential online databases, were used to retrieve and analyse information from peer-reviewed journal articles and chapters (n = 17) published between 2017 and 2022. Based on the main inquiries raised by the research, significant themes were discovered and critically explored. Political communication with AI, AI-focused public relations and marketing approach, and conversational AI assistants were the major themes in the research on strategic communication and AI integration. These studies were primarily the outcome of quantitative and mixed-method techniques used in a western environment. This review satisfies the need for research on AI and strategic communication that makes inferences applicable to the context in Ghana. The study's conclusion outlines a research agenda for the future, emphasising the need for research on particular topics like integration of AI voice assistants in relationship marketing domains, adoption of wearable technology and its relevance to customers' health consciousness as well as privacy concerns of emerging innovation. Future studies should also focus on developing more evidence-based AI suggestions for strategic communication practitioners, as well as a thorough methodological and theoretical discussion of how to further close the gap between research and practice in the African setting.

Awareness and Adoption of Wearable Technology Amongst Gen-Z in Selected Fitness Centers in Lagos State, Nigeria

In healthcare and fitness, wearable technologies have made a significant amount of contribution in ensuring consumer well-being. This has been done through the provision of accurate and real time physiological measurements such as heart rate, temperature, running pace and other parameters, vital in enabling users track their health conditions. Hence, this study investigates the awareness and adoption of wearable technology amongst Gen-Z in selected fitness centers in Lagos, State. This study was anchored on the Generational Cohort Theory and the Technology Acceptance Model. The Focus Group research method was adopted and the researcher used the purposive sampling technique to select the fitness centers chosen for this study. The purposive sampling technique was also adopted to select a total number of 32 Gen-Z participants sampled for this study. Findings from this study revealed that although a significant proportion of the Gen-Z population are aware of wearable technology, there is a minimal adoption of these wearable technologies amongst Gen-Z subscribers in fitness centers in Lagos State, Nigeria. Findings also revealed that perceived usefulness, lack of advertisements and consumer innovativeness are factors responsible for the adoption and non-adoption of wearable technologies amongst Gen-Z in Lagos State, Nigeria. The paper recommends consistent adoption of wearable technologies amongst Gen-Z because of its health and fitness benefits. The researcher also recommends that producers and marketers of wearable technologies should tailor their advertisements to communicate the health and fitness benefits of wearable technologies as this would encourage adoption.

‘Are online reviews the new shepherd?’ –examining herd behaviour in wearable technology adoption for personal healthcare

ABSTRACT Use of wearable technology for personal healthcare management is envisioned to play an instrumental role in promoting social sustainability by ensuring good health and wellbeing of all. Despite the upward market trend in purchase of wearable technology devices, their usage for personal healthcare remains a concern. An integrated model based on herd behaviour, theory of homophily and tenets of uncertainties drawn from initial trust theory is proposed and tested to examine the role of online reviews on herding of wearable technology adoption for personal healthcare management. A survey was administered on 434 wearable technology users, and data was analysed using Partial Least Square Structural Equation Modeling (PLS-SEM) with Smart PLS. The structural path analysis indicates that observing the online reviews written by homophilous users as well as uncertainties related to personal propensity and firm reputation positively influence individuals’ herding in wearable technology adoption for personal healthcare. The present research contributes to emerging literature on the role of online reviews on herding in wearable technology adoption for attaining social sustainability. The results of this study can be used by practitioners for designing strategies that facilitates consumption and usage of wearable technologies for personal healthcare management.

Success factors to large-scale adoption of wearable technology for musculoskeletal disorders (MSDs) prevention: a case study

Wearable technology has been playing an increasingly essential role in the construction domain, especially for safety and health related research. Musculoskeletal disorders (MSDs) are one of the most prevalent health problems among construction workers due to the physical demanding feature of the construction work. To solve this problem, wearable sensing technology has been applied for MSDs prevention. However, the large-scale adoption of wearables has encountered challenges and barriers. This study firstly reviewed recent literature on the factors influencing wearable technology adoption and designed a survey based on the review to further investigate adoption barriers and strategies using our proposed MSDs prevention system as a case study. The results demonstrate that the discomfort and fatigue caused by wearing devices for a long period of time is the main concerns hindering wearable adoption in our case. Construction managers expressed concerns on the indirect costs of implementation and workers expressed their concern on the invasion of privacy. To address these concerns, strategies to promote wearable adoption identified in literature such as worker training and education and providing personalized features were discussed. This study provides insight into the factors contributing to the large-scale adoption of wearable technology for MSDs prevention from the application perspective.

Adoption of wearable technology: Risk and success factors

Wearable technology (WT) has emerged with substantial popularity. While several products are spreading successfully, some have been crushed by consumer disappointment. Nevertheless, with WT’s increased development, expanding into many and varied fields, research is lagging behind, as factors that influence the adoption of WT are not fully understood. Previous research on motivations to purchase WT has focused on a specific product. Ours is the first study to empirically analyse purchasing intentions of WT, dividing products into successful and unsuccessful in order to identify optimal WT parameters. Predicated on data gleaned from 300 respondents, Structural Equation Modelling (SEM) results indicate that utilitarianism (as mediator) positively enhances price consciousness’ effect on the motivation to purchase successful WT products. Likewise, we found that aesthetic design, utilitarianism and sensual stimulation positively affect the motivation to purchase successful WT, whereas window display negatively affects the motivation to purchase successful and unsuccessful WT. Additionally, sensual stimulation positively affects motivation to purchase unsuccessful WT. Store exterior and sensual stimulation have been found to impact purchasing of unsuccessful WT products. Managerial implications are discussed.

Towards a wearable education: Understanding the determinants affecting students’ adoption of wearable technologies using machine learning algorithms

Towards a wearable education: Understanding the determinants affecting students’ adoption of wearable technologies using machine learning algorithms

Investigating the drivers of wearable technology adoption for healthcare in South America

PurposeThis empirical study examines the drivers of consumer intention to adopt wearable technology for healthcare in a South American country. Specifically, it proposes and tests a model of nonuser consumer intention to adopt fitness trackers for healthcare purpose in Chile.Design/methodology/approachThis study draws on the technology acceptance framework UTAUT2 to develop and test a conceptual model of wearable technology adoption. Data were collected through an online survey applied to 470 nonusers of wearable technology in Santiago, Chile.FindingsFindings indicate that hedonic motivation, social influence and perceived usefulness have the strongest influence on intention to adopt fitness trackers in Chile for healthcare. In addition, health motivation is an indirect predictor of consumer's intention to adopt wearable technology through its effect on perceived usefulness.Practical implicationsThe study contributes to a better understanding of consumer intention to adopt wearable technology for healthcare objectives in a less developed country in South America. Findings are useful for wearable technology managers, retail business and public policymakers.Originality/valueDespite the vast growth and importance of wearable technology for healthcare purposes, academic research considering less developed countries is scarce, especially the South American region. The proposed model and findings can extend this research gap. Theoretical and managerial implications are discussed as well as implications for public policy.