What will be the possible barriers to consumers’ adoption of smart home services?

Hong, Areum; Nam, Changi; Kim, Seong-Cheol

doi:10.1016/j.telpol.2019.101867

Cited by 116 publications

(72 citation statements)

References 63 publications

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“…Despite the optimistic expectation of future market growth, the smart home industry’s development status is still in its early and realization phase. The products and services are still far from mass-market phase adoption [ 3 ]. However, contrary to this fact, the market of global smart speakers has gone through explosive growth in recent years.…”

Section: Literature Reviewmentioning

confidence: 99%

“…As one of the most potential Internet of Things (IoT) industries, the smart homes will have a profound social effect and tremendous business potential in the coming future [ 2 ]. With the popularization of Artificial Intelligence (AI) and sonic interaction technology, smart speakers, the early-stage product and control hub of the voice-enabled smart home system, have gone through explosive growth in recent years [ 3 ]. According to data released by Strategy Analytics, global smart speakers shipments reached 147 million units in 2019, with an increased rate of 70% compared with 2018 [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

“…Different from the previous low-cost attraction and the freshness and enthusiasm for emerging technologies, Chinese consumers have become more rational currently. One crucial phenomenon that needs to be noted is that although the smart speaker is the early-stage product of the voice-enabled smart home system, the majority of consumers use it as a music player, while a few of them apply the voice assistant for home automation control [ 3 ]. This is because the whole smart home system is still in its realization period, technology stays immature, users’ consumption awareness has not been cultivated, functions and services remain monotonous, etc.…”

Section: Introductionmentioning

confidence: 99%

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What Influences the Perceived Trust of a Voice-Enabled Smart Home System: An Empirical Study

Liu

Gan

Song

et al. 2021

Sensors

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Contemporarily, almost all the global IT giants have aimed at the smart home industry and made an active strategic business layout. As the early-stage and entry-level product of the voice-enabled smart home industry, the smart speakers have been going through rapid development and rising fierce market competition globally in recent years. China, one of the most populous and largest markets in the world, has tremendous business potential in the smart home industry. The market sales of smart speakers in China have gone through rapid growth in the past three years. However, the market penetration rate of related smart home devices and equipment still stays extremely low and far from mass adoption. Moreover, the market sales of smart speakers have also entered a significant slowdown and adjustment period since 2020. Chinese consumers have moved from early impulsive consumption to a rational consumption phase about this early-stage smart home product. Trust in the marketing field is considered an indispensable component of all business transactions, which plays a crucial role in adopting new technologies. This study explores the influencing factors of Chinese users’ perceived trust in the voice-enabled smart home systems, uses structural equation modeling (SEM) to analyze the interaction mechanism between different variables, and establishes a perceived trust model through 475 valid samples. The model includes six variables: system quality, familiarity, subjective norm, technology optimism, perceived enjoyment, and perceived trust. The result shows that system quality is the essential influence factor that impacts all other variables and could significantly affect the perceived trust. Perceived enjoyment is the most direct influence variable affected by system quality, subjective norm, and technology optimism, and it positively affects the perceived trust in the end. The subjective norm is one of the most distinguishing variables for Chinese users, since China has a collectivist consumption culture. People always expect their behavior to meet social expectations and standards to avoid criticism and acquire social integration. Therefore, policy guidance, authoritative opinions, and people with important reference roles will significantly affect consumers’ perceived trust and purchase intention. Familiarity and technology optimism are important influential factors that will have an indirect impact on the perceived trust. The related results of this study can help designers, practitioners, and researchers of the smart home industry produce products and services with higher perceived trust to improve consumers’ adoption and acceptance so that the market penetration rate of related products and enterprises could be increased, and the maturity and development of the voice-enabled smart home industry could be promoted.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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What Influences the Perceived Trust of a Voice-Enabled Smart Home System: An Empirical Study

Liu

Gan

Song

et al. 2021

Sensors

View full text Add to dashboard Cite

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“…Also, sociological features may stand for potential barriers when consumers choose their new device. In [15] was discussed the relation between accepted risk and resistance to new services.…”

Section: A Social Aspectsmentioning

confidence: 99%

Smart Homes: How Much Will They Support Us? A Research on Recent Trends and Advances

et al. 2021

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The advances in the Internet of Things (IoT) provide several chances to develop a variety of innovations supporting smart home users in several industries including healthcare, energy management, etc. Ubiquitous support by intelligent appliances at modern homes, which constantly work to gather information can help us to solve everyday issues. In this paper, we present a comparative study of recent advances in smart home development. The study aims to present the main trends in this field. During the analysis of the research reports and patents, we identify the propositions that constitute the main research streams. Through extensive analysis, we provide an outlook on the wide spectrum of the proposed solutions. We also analyze the main market to present which publishers are leading with the innovative science in this field. We also show the leaders of science and technology in the World. Finally, we define the ratio of the developments and outline the next stage of the development in the smart home industry. INDEX TERMS Internet of Things (IoT), smart home, healthcare, energy management, security. I. INTRODUCTION O VER time, the type of home was evolving. The shape of the house was evolving during ages, cultural revolutions, and climate changes. We have divided our homes into rooms devoted to sleeping, cooking, work, children, sanitary needs, warehousing, etc. People started to settle in various locations and continents.

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“…A mushrooming number of smart home applications are entering into millions of homes, from smart washing machines to smart vacuum cleaners, from smart door locks to telemedicine, all of them reflect the charm and potential of technology. The new technology of smart homes and Internet of Things would meet people’s pursuit of “livable, comfortable, convenient and safe” living environment [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation for Edge Computing without Using Cloud Center in Smart Home Environment: A Pricing Approach

Liu

Sun

2020

Sensors

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Recently, more and more smart homes have become one of important parts of home infrastructure. However, most of the smart home applications are not interconnected and remain isolated. They use the cloud center as the control platform, which increases the risk of link congestion and data security. Thus, in the future, smart homes based on edge computing without using cloud center become an important research area. In this paper, we assume that all applications in a smart home environment are composed of edge nodes and users. In order to maximize the utility of users, we assume that all users and edge nodes are placed in a market and formulate a pricing resource allocation model with utility maximization. We apply the Lagrangian method to analyze the model, so an edge node (provider in the market) allocates its resources to a user (customer in the market) based on the prices of resources and the utility related to the preference of users. To obtain the optimal resource allocation, we propose a pricing-based resource allocation algorithm by using low-pass filtering scheme and conform that the proposed algorithm can achieve an optimum within reasonable convergence times through some numerical examples.

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What will be the possible barriers to consumers’ adoption of smart home services?

Cited by 116 publications

References 63 publications

What Influences the Perceived Trust of a Voice-Enabled Smart Home System: An Empirical Study

What Influences the Perceived Trust of a Voice-Enabled Smart Home System: An Empirical Study

Smart Homes: How Much Will They Support Us? A Research on Recent Trends and Advances

Resource Allocation for Edge Computing without Using Cloud Center in Smart Home Environment: A Pricing Approach

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