How do consumers think about hybrid products? Computer wearables have an identity problem

Nieroda, Marzena; Mrad, Mona; Solomón, Michael R.

doi:10.1016/j.jbusres.2018.04.024

Cited by 41 publications

(43 citation statements)

References 41 publications

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“…Technology acceptance of new wearable devices remains another significant barrier [ 19 ]. Despite the forecasted growth, use of these devices has reportedly slowed [ 20 ]. Market studies have pointed out a gradual decline in the use of these devices as well as abandonment within a few months of purchase [ 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

Patterns of Use and Key Predictors for the Use of Wearable Health Care Devices by US Adults: Insights from a National Survey

2020

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Background Despite the growing popularity of wearable health care devices (from fitness trackes such as Fitbit to smartwatches such as Apple Watch and more sophisticated devices that can collect information on metrics such as blood pressure, glucose levels, and oxygen levels), we have a limited understanding about the actual use and key factors affecting the use of these devices by US adults. Objective The main objective of this study was to examine the use of wearable health care devices and the key predictors of wearable use by US adults. Methods Using a national survey of 4551 respondents, we examined the usage patterns of wearable health care devices (use of wearables, frequency of their use, and willingness to share health data from a wearable with a provider) and a set of predictors that pertain to personal demographics (age, gender, race, education, marital status, and household income), individual health (general health, presence of chronic conditions, weight perceptions, frequency of provider visits, and attitude towards exercise), and technology self-efficacy using logistic regression analysis. Results About 30% (1266/4551) of US adults use wearable health care devices. Among the users, nearly half (47.33%) use the devices every day, with a majority (82.38% weighted) willing to share the health data from wearables with their care providers. Women (16.25%), White individuals (19.74%), adults aged 18-50 years (19.52%), those with some level of college education or college graduates (25.60%), and those with annual household incomes greater than US $75,000 (17.66%) were most likely to report using wearable health care devices. We found that the use of wearables declines with age: Adults aged >50 years were less likely to use wearables compared to those aged 18-34 years (odds ratios [OR] 0.46-0.57). Women (OR 1.26, 95% CI 0.96-1.65), White individuals (OR 1.65, 95% CI 0.97-2.79), college graduates (OR 1.05, 95% CI 0.31-3.51), and those with annual household incomes greater than US $75,000 (OR 2.6, 95% CI 1.39-4.86) were more likely to use wearables. US adults who reported feeling healthier (OR 1.17, 95% CI 0.98-1.39), were overweight (OR 1.16, 95% CI 1.06-1.27), enjoyed exercise (OR 1.23, 95% CI 1.06-1.43), and reported higher levels of technology self-efficacy (OR 1.33, 95% CI 1.21-1.46) were more likely to adopt and use wearables for tracking or monitoring their health. Conclusions The potential of wearable health care devices is under-realized, with less than one-third of US adults actively using these devices. With only younger, healthier, wealthier, more educated, technoliterate adults using wearables, other groups have been left behind. More concentrated efforts by clinicians, device makers, and health care policy makers are needed to bridge this divide and improve the use of wearable devices among larger sections of American society.

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Section: Introductionmentioning

confidence: 99%

Patterns of Use and Key Predictors for the Use of Wearable Health Care Devices by US Adults: Insights from a National Survey

2020

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“…To date, research studies have focused predominately on accuracy and reliability issues (Canhoto & Arp, ; Chuah et al, ), as well as design, aesthetic and implementation issues (Choi & Kim, ; Kim, Park, & Choi, ; Nieroda et al, ). In this study, we aim to bridge a research gap by understanding the effects of WTD adoption and explain consumers' intentions to use wearable devices as a means to manage their personal health.…”

Section: Introductionmentioning

confidence: 99%

“…The growth of the market for these sophisticated wearables is reliant on consumers' acceptance of the technology. However, despite the forecasted growth of these devices, consumer acceptability of these devices has slowed (Nieroda, Mrad, & Solomon, ). A consumer study by Ledger and McCaffrey () revealed that after six month of the initial purchase of a WTDs, the continuous use of these devices drops to 70%, and after one year of use, it drops to 55%.…”

Section: Introductionmentioning

confidence: 99%

Understanding the barriers and factors associated with consumer adoption of wearable technology devices in managing personal health

2019

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This research seeks to identify the barriers and factors associated with adopting wearable technology devices (WTDs) for managing personal health. Based on a partial least square (PLS) analysis of 277 US‐based residents, the findings demonstrate that performance expectancy, social influence, facilitating conditions, hedonic motivation, habit, and personalization are significant predictors of consumers' intention to use WTDs. Interestingly, price value, privacy concerns, and health consciousness are not significant. This study will inform future research on WTDs in personal health management. Theoretical and practical implications of the study are also presented.

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“…Second, our findings contribute to emerging green product literature, which largely overlooks highly involved green products and focuses primarily on gender-based differences, such as preference and choice [17]. Our findings should prove useful for green manufacturing firms by giving them a better understanding of the different impacts of key factors and gender differences, and thereby helping them identify effective ways to attract potential consumers.…”

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confidence: 68%

Sustainable Green Product Adoption Test Using Logistic Regression: Comparison of Glass and Electronic Products

Wan

2021

Sustainability

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Marketing literature emphasizes the importance of green product adoption for environmental sustainability. However, consumers’ evaluations of the key factors (for adopting green products) differ in critical ways. Drawing on a consumer–marketing interface, this study uses a binary logit model to investigate how consumers adopt two different types of products (e.g., glass and electronic). The results show that the impacts of the twelve factors behind consumer adoption of green products vary widely between glass and electronic products. Specifically, the analysis identifies four factors (eco-labeling, peer groups, cultural values, and environmental awareness) that have no influence on consumer adoption intentions. It also shows that males are more likely to have positive adoption intentions than females for both glass and electronic products. The authors conclude this paper by discussing the implications of these important findings for research and practice.

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How do consumers think about hybrid products? Computer wearables have an identity problem

Cited by 41 publications

References 41 publications

Patterns of Use and Key Predictors for the Use of Wearable Health Care Devices by US Adults: Insights from a National Survey

Patterns of Use and Key Predictors for the Use of Wearable Health Care Devices by US Adults: Insights from a National Survey

Understanding the barriers and factors associated with consumer adoption of wearable technology devices in managing personal health

Sustainable Green Product Adoption Test Using Logistic Regression: Comparison of Glass and Electronic Products

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