scholarly journals Empirical Examination of Intention to Continue to Use Smart Home Services

2019 ◽  
Vol 11 (19) ◽  
pp. 5213 ◽  
Author(s):  
Wei Gu ◽  
Peng Bao ◽  
Wenyuan Hao ◽  
Jaewoong Kim
Keyword(s):  
Sustainable Development ◽  
Smart Home ◽  
Structural Equation ◽  
Sustainable Use ◽  
Smart Homes ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Empirical Examination ◽  
Improve Energy Efficiency ◽  
Degree Of Satisfaction

With the continuous expansion of sub-ecological problems, it is the question of how to effectively reduce environmental pollution and improve energy efficiency that has become a major challenge. At the same time, the energy consumption of family homes accounts for a large proportion, and whether smart homes can become a part of sustainable development is getting more and more attention. Although there are hundreds of smart home products and many investors on the market, consumers are relatively less accepting of this technology. How to make consumers adopt and continue to use has become a key issue in the development of smart homes. From the perspective of consumers, this study aims first to explore the relevant factors that affect the sustainable use of smart homes, and second empirically analyze the hypothetical model by using structural equation modeling. The empirical analysis results are based on the sample data of 488 Chinese respondents with experience in smart home use. The results showed that the service quality and perceived usefulness of smart home services positively impact users’ degree of satisfaction, and a higher degree of satisfaction, in turn, contributes to users’ formation of habits. Users’ desire to continuously use smart home services is influenced by perceived usefulness, degree of satisfaction, and habit; among them, habit is the key factor affecting users’ willingness. These findings expand our understanding of users’ desire to continuously use smart homes and provide theoretical support for the sustainable development of the smart home industry.

A comprehensive acceptance model for smart home services

2022 ◽  
Vol 6 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Amer Al-Husamiyah ◽  
Mahmood Al-Bashayreh
Keyword(s):  
Technology Acceptance ◽  
Smart Home ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Smart Devices ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Smart home services (SHSs) afford users an effective lifestyle management system, which provides human-oriented networking of smart devices and applications that enable users to control their homes from anywhere at any time. Despite the benefits of SHSs, however, their acceptance is very low. There remains a gap in the literature in terms of a comprehensive model that addresses users’ intention to use SHSs. To address this gap, the present study explored the factors that influence SHS acceptance among users based on well-established theoretical frameworks, such as the technology acceptance model, innovation diffusion theory, and the theory of planned behavior. To this end, the study integrated four additional factors, namely, perceived convenience, perceived connectedness, perceived cost, and perceived privacy risk, into the exploration and carried out structural equation modeling to quantitatively determine the effects of these factors. Questionnaires were administered to 750 users. The findings indicated that perceived compatibility, perceived convenience, perceived connectedness, perceived cost, perceived behavioral control with perceived usefulness, and perceived ease of use directly and indirectly exerted a significant influence on users’ intention to use SHSs.

Evaluating the sustainable use of mobile payment contactless technologies within and beyond the COVID-19 pandemic using a hybrid SEM-ANN approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammed A. Al-Sharafi ◽  
Noor Al-Qaysi ◽  
Noorminshah A. Iahad ◽  
Mostafa Al-Emran
Keyword(s):  
Structural Equation ◽  
Service Providers ◽  
Sustainable Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Content Type ◽  
Perceived Trust ◽  
Model Based ◽  
Managerial Implications

PurposeWhile there is an abundant amount of literature studies on mobile payment adoption, there is a scarce of knowledge concerning the sustainable use of mobile payment contactless technologies. As those technologies are mainly concerned with security and users' trust, the question of how security factors and trust can influence the sustainable use of those technologies within and beyond the COVID-19 pandemic is still unanswered. This research thus develops a theoretical model based on integrating the protection motivation theory (PMT) and the expectation-confirmation model (ECM), extended with perceived trust (PT) to explore the sustainable use of mobile payment contactless technologies.Design/methodology/approachThe developed model is evaluated based on data collected through a web-based survey from 523 users who used contactless payment technologies. Unlike the existing literature, the collected data were analyzed using a hybrid structural equation modeling-artificial neural network (SEM-ANN) technique.FindingsThe data analysis results reinforced all the proposed relationships in the developed model. The sensitivity analysis results showed that PT has the largest impact on the sustainable use of mobile payment contactless technologies with 97.2% normalized importance, followed by self-efficacy (SE) (77%), satisfaction (72.1%), perceived vulnerability (PV) (48.9%), perceived usefulness (PU) (48.2%), perceived severity (PS) (40.7%), response efficacy (RE) (28.7%) and response costs (RCs) (24.1%).Originality/valueThe originality of this research lies behind the development of an integrated model based on PMT and ECM to understand the sustainable use of mobile payment contactless technologies. The study provides several managerial implications for decision-makers, policy-makers and service providers to ensure the sustainability of those contactless technologies within and beyond the COVID-19 pandemic.

What makes Jordanian residents buy smart home devices?

Kybernetes ◽  
2019 ◽  
Vol 48 (8) ◽  
pp. 1681-1698 ◽  
Author(s):  
Ibrahim Mashal ◽  
Ahmed Shuhaiber
Keyword(s):  
Smart Home ◽  
Structural Equation ◽  
Design Methodology ◽  
Smart Homes ◽  
Equation Modeling ◽  
Content Type ◽  
Perceived Enjoyment ◽  
Novel Model ◽  
User Trust

Purpose Smart homes are recent Internet of Things applications that aim to improve residents’ quality of life. Despite its potential, the adoption of smart homes, in general, and its devices and appliances, in specific, is not reaching a mass market yet. This study aims to investigate the factors that influence residents’ intention to buy smart homes devices in Jordan. Design/methodology/approach This paper proposes a novel model to study users’ intention to buy smart homes devices by following a quantitative method. Responses were collected and statistically analyzed from 375 households using structural equation modeling. Findings Results show that user awareness, perceived cost, perceived enjoyment, personalization, user trust and social influences significantly influence the intention to buy smart home devices. Originality/value To the best of the authors’ knowledge, this paper is the first study attempts to predict intention to buy smart home devices in Jordan. The findings provide meaningful implications for smart home devices providers.

scholarly journals Determinants of Continuance Intention towards Banks’ Chatbot Services in Vietnam: A Necessity for Sustainable Development

2021 ◽  
Vol 13 (14) ◽  
pp. 7625
Author(s):  
Dung Minh Nguyen ◽  
Yen-Ting Helena Chiu ◽  
Huy Duc Le
Keyword(s):  
Sustainable Development ◽  
Customer Service ◽  
Structural Equation ◽  
Information Quality ◽  
Service Providers ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
System Quality ◽  
Continuance Intention ◽  
Information Systems Success

To improve customer experience and achieve sustainable development, many industries, especially banking, have leveraged artificial intelligence to implement a chatbot into their customer service. By integrating DeLone and McLean’s information systems success (D&M ISS) model and the expectation confirmation model (ECM) with the factor of trust, the aim of this study was to investigate the determinants of users’ continuance intentions towards chatbot services in the context of banking in Vietnam. A total of 359 questionnaire surveys were collected from a real bank’s chatbot users and analyzed using structural equation modeling. The findings revealed that users’ continuance intentions towards the banks’ chatbot services were influenced by satisfaction, trust, and perceived usefulness, of which trust had the strongest effect. The results also indicate that information quality, system quality, service quality, and confirmation of expectations had significant effects on three drivers of continuance intention in different ways. Our study contributes to the literature by providing a more comprehensive viewpoint to understand the perceptions and reactions of chatbot users in the post-adoption stage. The results of this study also yield several key suggestions for banking service providers on how to increase their customers’ intentions to continue using chatbot services, serving as a basis for long-term and sustainable development strategies in the current digital era.

scholarly journals The influence of acceptance and adoption drivers on smart home usage

2019 ◽  
Vol 53 (6) ◽  
pp. 1073-1098 ◽  
Author(s):  
Marco Hubert ◽  
Markus Blut ◽  
Christian Brock ◽  
Ruby Wenjiao Zhang ◽  
Vincent Koch ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Innovation Diffusion ◽  
Indirect Effects ◽  
Smart Home ◽  
Structural Equation ◽  
Online Survey ◽  
Perceived Usefulness ◽  
Risk Theory ◽  
Equation Modeling ◽  
Content Type

Purpose This study aims to develop a comprehensive adoption model that combines constructs from various theories and tests these theories against each other. The study combines a technology acceptance model, innovation diffusion theory and risk theory. It develops this model in a smart home applications context. Design/methodology/approach The study is based on an online survey consisting of 409 participants, and the data are analyzed using structural equation modeling. Findings Each theory provides unique insights into technology acceptance and numerous constructs are interrelated. Predictors from innovation diffusion and risk theory often display indirect effects through technology acceptance variables. The study identifies risk perception as a major inhibitor of use intention, mediated through perceived usefulness. Results reveal that the most important determinants of use intention are compatibility and usefulness of the application. Research limitations/implications Studies which do not examine different theories together may not be able to detect the indirect effects of some predictors and could falsely conclude that these predictors do no matter. The findings emphasize the crucial role of compatibility, perceived usefulness and various risk facets associated with smart homes. Originality/value This study broadens the understanding about the necessity of combining acceptance and adoption drivers from several theories to better understand the usage of complex technological systems such as smart home applications.

scholarly journals Understanding continued smartwatch usage: the role of emotional as well as health and fitness factors

2021 ◽  
Author(s):  
Carolin Siepmann ◽  
Pascal Kowalczuk
Keyword(s):  
Structural Equation ◽  
Goal Pursuit ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Emotional Factors ◽  
Health And Fitness ◽  
Important Barrier ◽  
Personal Fitness ◽  
Continuous Use ◽  
The Impact

AbstractSmartwatches are the most popular wearable device and increasingly subject to empirical research. In recent years, the focus has shifted from revealing determinants of smartwatch adoption to understanding factors that cause long-term usage. Despite their importance for personal fitness, health monitoring, and for achieving health and fitness goals, extant research on the continuous use intention of smartwatches mostly disregards health and fitness factors. Grounding on self-determination theory, this study addresses this gap and investigates the impact of health and fitness as well as positive and negative emotional factors encouraging or impeding consumers to continuously use smartwatches. We build upon the expectation-confirmation model (ECM) and extend it with emotional (device annoyance and enjoyment) as well as health and fitness factors (goal pursuit motivation and self-quantification behavior). We use structural equation modeling to validate our model based on 335 responses from actual smartwatch users. Results prove the applicability of the ECM to the smartwatch context and highlight the importance of self-quantification as a focal construct for explaining goal pursuit motivation, perceived usefulness, confirmation and device annoyance. Further, we identify device annoyance as an important barrier to continuous smartwatch use. Based on our results, we finally derive implications for researchers and practitioners alike.

Examining the intentions of a Ghanaian technical university students to use e-library

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eugene Okyere-Kwakye ◽  
Khalil Md Nor
Keyword(s):  
University Students ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Library Resources ◽  
Technical University

Purpose Electronic library (E-library) is a form of computer mediated system that uses electronic media, such as Web/internet devices and distributes resources to improve on the quality of teaching and learning. Students’ use of e-library for learning is essential and as such the government has invested hugely into its subscription for several university libraries in Ghana. However, most university students feel reluctant to use the e-library resources for their studies. The purpose of this paper is therefore to examine the factors that influence students’ intention to use e-library resources for their studies. Design/methodology/approach Questionnaire was used to collect data from 200 students from one Technical University in Ghana. Structural equation modeling (SmartPLS) was used to analyze the data. Findings The study found that accessibility, attitude, perceived ease of use, perceived usefulness and relevance to studies have positive significant effect on students’ attitude to use e-library. In addition, self-efficacy, subjective norm and attitude have positive significant influence on students’ intention to use e-library. Research limitations/implications Although the sample frame used for this study may be unique, but the total amount of data collected was limited to providing the general representative of the Ghanaian students in one particular university. Other researchers may consider collecting data from other universities to extend the sample frame for a larger sample size of students. Practical implications Academic administrators need to organize training and workshops on how to use the e-library portal for their search and other didactic assignments. Most importantly, students should be given IT or internet tutorials as foundation for the use of the e-library portal. Social implications Universities have to provide internet access such as hotspot and network routers at the labs, classrooms and other vantage points. It is believed that with these in place, adequate access to the internet would promote students’ engagement on the e-library facility. Originality/value The study examines the factors that influence students’ intention to use e-library resources for their studies in Ghana.

Understanding the Moderating Impact of Context-Awareness and Ubiquity on Mobile Government Services Adoption

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Technology Acceptance ◽  
Context Awareness ◽  
Structural Equation ◽  
Moderating Effect ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Policy Implications ◽  
Equation Modeling ◽  
Future Research ◽  
The Impact

The factors of context-awareness and mobile ubiquity are major components in the development and diffusion of any mobile technology-driven applications and services. Principally in the m-government development space, the issues of context-awareness and ubiquity are crucial if m-government initiatives are to be successful. The moderating effect of context-awareness and ubiquity on mobile government adoption is examined for 409 students from a Chinese University based on the Technology Acceptance Model. Using the Structural Equation Modeling technique, the results indicate that perceived ease of use (PEOU) was significantly related to intention to use, but perceived usefulness (PU) did not have a significant effect on mobile government adoption. The moderating analysis indicated that context-awareness significantly moderated the impact of PU but had no moderating effect on PEOU. Also, it was discovered that ubiquity was significant in moderating both the PEOU and PU on mobile government adoption. Policy implications and directions for future research are presented.

Analisis Pengaruh Persepsi Manfaat, Persepsi Kemudahan Penggunaan dan Persepsi Risiko Terhadap Keputusan Pembelian dengan Kepercayaan Sebagai Variabel Intervening (Studi Pada Konsumen Gofood di Kota Semarang)

2020 ◽  
Vol 19 (2) ◽  
pp. 114-125
Author(s):  
Isnaeni Agustin Widhiaswara ◽  
Harry Soesanto
Keyword(s):  
Structural Equation Modeling ◽  
Perceived Risk ◽  
Structural Equation ◽  
Sem Analysis ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Purchasing Decisions ◽  
Food Purchases ◽  
The City

This study aims to analyze the effect of perceived usefulness, perceived of ease of use, perceived risk , trust and purchasing decisions for GoFood in the city of Semarang. Respondents in this study are consumers who make food purchases through GoFood. Data collected through Google Form containing questionnaires filled out by 125 respondents. The analytical method used is Structural Equation Modeling (SEM) analysis carried out with the AMOS program. The results of hypothesis testing with SEM show that: 1. Perceived usefulness has a significant effect on trust, 2. Perceived of ease of use has a significant effect on trust, 3. Perceived risk has a significant effect on trust, 4. Trust has a significant effect on purchasing decisions, 5. Perceived usefulness has a significant effect on purchasing decisions, 6. Perceived of ease of use has a significant effect on purchasing desicion, 7. Perceived risk has a significant effect on purchasing decisions.

scholarly journals Youths’ Social Media Adoption: Theoretical Model and Empirical Evidence

2016 ◽  
Vol 11 (2) ◽  
pp. 22 ◽  
Author(s):  
M. Shakaib Akram ◽  
Wafi Albalawi
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
The Social ◽  
Perceived Enjoyment ◽  
Adoption Intention

<p>Social media has become a major source of communication and collaboration between individuals and among groups. The current paper investigates the underlying motives of social media adoption. The research identifies various determinants such as perceived connectedness, perceived enjoyment, perceived usefulness and perceived ease of use as the major influencers of social media adoption intention. Using the sample from Saudi Arabia an online survey is conducted. Structural equation modeling has been used to test the proposed relationships. The results reveal that individuals’ perceived connectedness and perceived enjoyment act as stimuli for their social media adoption intention. Moreover, perceived ease of use and perceived usefulness mediate these stimuli and the individuals’ social media adoption intention. The paper concludes with the recommendations for the academicians and the social media designers/developers.</p>

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