The acceptance process of smart homes by users: a statistical meta-analysis

Nascimento, Débora Rosa; Ciano, M. P.; Gumz, J.; Fettermann, Diego de Castro

doi:10.1080/0144929x.2022.2146534

Cited by 7 publications

(6 citation statements)

References 88 publications

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“…Another unique complement to these presented results is the meta-analysis completed by Nascimento et al [136]. They emphasized the increasing affordability of smart home technologies, the lack of understanding of the factors that drive their continued use, and the impact that the adoption of smart appliances and services in the domestic setting has on users.…”

Section: Discussionmentioning

confidence: 92%

“…They emphasized the increasing affordability of smart home technologies, the lack of understanding of the factors that drive their continued use, and the impact that the adoption of smart appliances and services in the domestic setting has on users. We describe the use of advanced technologies in smart homes, but Nascimento et al [136] revealed a lack of knowledge of the elements influencing user acceptance.…”

Section: Discussionmentioning

confidence: 99%

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Smart Homes as Catalysts for Sustainable Consumption: A Digital Economy Perspective

Strzelecki,

Kolny,

Kucia

2024

Sustainability

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The green living issues that arise as a result of smart home use in the context of sustainability consumption, at a time when smart homes are being built that can improve the management of electricity, water, gas consumption, and when their use offers the opportunity to raise awareness of caring for health and achieving wellbeing, became the basis for writing this article. This paper explores the intersection of smart home technologies, sustainable consumption, and the digital economy, offering insights into how digital advancements can foster environmentally responsible consumer behaviors. The motivation behind this study is the growing environmental concerns and the need for sustainable solutions in consumer behavior. Despite the advancements in smart home technologies, there is a significant gap in the literature regarding their role in promoting sustainable consumption. The research employs an extended unified theory of acceptance and use of technology (UTAUT2) model, integrating factors such as convenience, health and wellbeing, and environmental impact to assess the determinants influencing the adoption of smart home technologies. This study follows a comprehensive research process involving a survey of 795 individuals and the use of structural equation modeling (SmartPLS 4). The empirical findings reveal that factors such as performance expectancy and personal innovativeness are critical in shaping the adoption of smart home technologies. Additionally, this study highlights the significant positive influence of smart homes on sustainable consumption behaviors, underscoring their potential in driving the digital economy towards sustainability goals. The significance of these findings lies in their contribution to the understanding of how digital technologies, particularly smart homes, can enhance sustainable consumption, offering implications for policymakers, developers, and stakeholders in the digital economy seeking to promote sustainability through technological innovations.

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Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Smart Homes as Catalysts for Sustainable Consumption: A Digital Economy Perspective

Strzelecki,

Kolny,

Kucia

2024

Sustainability

View full text Add to dashboard Cite

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“…Although the HM construct represents user pleasure in using the technology (Gao et al , 2015), the previous estimations considered in the meta-analysis did not converge. Despite the nonsignificant HM > BI relation, recent literature emphasizes the importance of embodying features in technological devices to engage users (Nascimento et al , 2022).…”

Section: Discussionmentioning

confidence: 99%

“…Notwithstanding, the literature does not indicate a consensus regarding the effect of many constructs on m-health acceptance technologies (Piotrowicz, 2017). Moreover, specific contexts, small samples or sampling limitations harm the objective of consolidating trends in estimating technology acceptance models (TAMs) (Reeder and David, 2016; Gumz and Fettermann, 2021; Nascimento et al , 2022). The divergence among estimation of acceptance of m-health technologies is numerous in the literature (Brewster et al , 2014; Hennemann et al , 2016; Sadoughi et al , 2020; Väisänen et al , 2015; Yaraborough and Smith, 2007).…”

Section: Introductionmentioning

confidence: 99%

A meta-analysis of a comprehensive m-health technology acceptance

Calegari

R.D.

Fettermann

2023

IJLSS

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Purpose The evolution of e-health technologies presents promising alternatives for health-care excellence. Despite the benefits arising from mobile e-health (m-health) and wearables technologies, the literature stands many contradictories signs regarding how users accept and engage in using these technologies. This study aims to synthesize the estimations about m-health user acceptance technologies. Design/methodology/approach A meta-analytic structural equation modeling was carried out using the 778 relationships estimated by 100 previous research. The estimations follow the relations and constructs proposed in the UTAUT2 technological acceptance model. Findings The results indicate the performance expectancy, effort expectancy, social influence and habit constructs are most important for predicting the behavioral intention of use of m-health technologies. The Latin American users of e-health technologies are still underestimated in the literature. Originality/value The study presents a guide to understanding the acceptance process of m-health technologies and delivers a general orientation for developing new m-health devices considering their acceptance by users.

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“…Technology acceptance models have been widely applied to understand user behavior toward various solutions. For example, we have its application in studies on applications and information systems for agricultural activities [48,49], virtual reality systems [50], home devices [24,51,52], autonomous cars, [53], safety systems for construction workers [54], learning environments or e-learning [55,56], e-shopping [57], e-services [58], digital content marketing for tourism [59], mobile payments [60], the visual design of wearables [61], and wearable locating systems [62], among others. The number of new e-health technologies has increased the use of technology acceptance models to improve the comprehension of the factors that affect the user's acceptance of m-health technologies [63][64][65].…”

Section: Acceptance Modelsmentioning

confidence: 99%

Getting Connected to M-Health Technologies through a Meta-Analysis

Calegari

Tortorella

Fettermann

2023

IJERPH

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The demand for mobile e-health technologies (m-health) continues with constant growth, stimulating the technological advancement of such devices. However, the customer needs to perceive the utility of these devices to incorporate them into their daily lives. Hence, this study aims to identify users’ perceptions regarding the acceptance of m-health technologies based on a synthesis of meta-analysis studies on the subject in the literature. Using the relations and constructs proposed in the UTAUT2 (Unified Theory of Acceptance and Use of Technology 2) technology acceptance model, the methodological approach utilized a meta-analysis to raise the effect of the main factors on the Behavioral Intention to Use m-health technologies. Furthermore, the model proposed also estimated the moderation effect of gender, age, and timeline variables on the UTAUT2 relations. In total, the meta-analysis utilized 84 different articles, which presented 376 estimations based on a sample of 31,609 respondents. The results indicate an overall compilation of the relations, as well as the primary factors and moderating variables that determine users’ acceptance of the studied m-health systems.

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The acceptance process of smart homes by users: a statistical meta-analysis

Cited by 7 publications

References 88 publications

Smart Homes as Catalysts for Sustainable Consumption: A Digital Economy Perspective

Smart Homes as Catalysts for Sustainable Consumption: A Digital Economy Perspective

A meta-analysis of a comprehensive m-health technology acceptance

Getting Connected to M-Health Technologies through a Meta-Analysis

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