scholarly journals A Study of Factors Influencing on Passive and Active Acceptance of Home Energy Management Services with Internet of Things

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3631
Author(s):  
Chankook Park ◽  
Min Jeong
Keyword(s):  
Internet Of Things ◽  
Technology Acceptance ◽  
Energy Management ◽  
New Technology ◽  
High Sensitivity ◽  
Factors Affecting ◽  
Logistic Regression Models ◽  
Home Energy Management ◽  
Management Services ◽  
Active Acceptance

Since awareness of the influence of home energy management services (HEMS) with Internet of things (IoT) has grown, the study on the acceptance of IoT services has been expanded. Previous studies, however, have not paid attention to the acceptance itself, focusing only on factors affecting the acceptance. This study attempts to draw meaningful implications by exploring the relationships between the acceptance and the factors affecting it with distinctions between passive acceptance and active acceptance. This study analyzed the ordinal logistic regression models based on a survey of 909 adults 19 years of age and older in Korea on HEMS with IoT. In addition, we attempt the ordinal forest to increase the reliability of the research results. As a result, this study showed that consumers’ perception of usefulness was noticeably important to enhance active acceptance and that those who had high sensitivity to new technology acceptance showed high active acceptance, and older women had higher active acceptance. This study might contribute to the research on IoT acceptance in the energy management sector by classifying the acceptance into active acceptance and passive acceptance beyond the framework of setting the acceptance as a single variable.

scholarly journals DIGITAL MARKETING 5-GENERATION TECHNOLOGY AND ITS ACCEPTANCE BEHAVIOR

2021 ◽  
pp. 46-59
Keyword(s):  
Data Analysis ◽  
Technology Acceptance ◽  
Digital Media ◽  
New Technology ◽  
Mobile Services ◽  
Perceived Usefulness ◽  
Mobile Technologies ◽  
Digital Marketing ◽  
Cross Sectional ◽  
Factors Affecting

Cumulative usage of digital media by customers, most of the companies are exploitation the digital marketing to get the access towards their target clients and markets. With the development of mobile technologies, mobile services have become an essential part of people's lives. After an ample research a series of advance experimentation and development, the mobile technology emerged and enters into more advance 5-G period. The purpose of this study is to examine various marketing strategies and investigate Pakistani consumers’ approach towards the existing mobile services and classify the factors affecting their preferences towards 5-G acceptance. With a view to accomplish this study. A cross-sectional technique with the help of questionnaire was used to collect data. 15 to 45 years age people male & female were our targeted audience from the different places of Multan city (Punjab province) Pakistan. 500 questionnaires were distributed and received (n) 430 which were completed by all aspects. (F=58%) & (M=42%). SPSS, (22nd) version used for data analysis. After the data analysis and discussion, (r) correlation was retrospection that (DV), (IV) & (MV) have a strong and positive relationship between each other. (r2) regression analysis also showed the confident, positive and durable relation among the all variables. Results show that the convenience, price, service quality, self-efficacy and value are the factors affecting consumers’ acceptance in the presence of a moderator that is perceived usefulness. Suggested an extended TAM (Technology Acceptance Model) for checking consumer’s behavior towards 5-G mobile services. Consumers should adopt the new technology and utilize it for the benefits of him/herself and for the community, nation and state.

scholarly journals User Adoption Of Internet Of Things: Determining Factors That Directly Affect Internet Of Things Service Adoption And Applying Them To An Existing System

2021 ◽  
Author(s):  
Revathi Gopalakrishnan
Keyword(s):  
Internet Of Things ◽  
Technology Acceptance ◽  
New Technology ◽  
Intention To Use ◽  
Service Adoption ◽  
User Adoption ◽  
Determining Factors ◽  
Acceptance Model ◽  
Insight Into

Internet of Things (IoT) is defined as a convergence of multiple technologies that interconnect physical and virtual objects over a network to improve our quality of life. These services deal with numerous interactions between devices, each having its own functionality and user flows. A large emphasis has always been placed on the technical aspects of IoT but very little importance has been given to researching factors that could have a significant effect on a user’s intention to use and adopt these services. Technology Acceptance Model (TAM) and Value-based Adoption Model (VAM) are two of the most widely used models to discovering the potential user’s intention to use a new technology. This paper examines these models to provide insight into determining factors that directly affect IoT service adoption by users and applies it to developing a coherent and engaging user interface for an existing IoT system.

Adoption of Gamified Systems

2015 ◽  
Vol 5 (3) ◽  
pp. 18-37 ◽  
Author(s):  
Gokhan Aydin
Keyword(s):  
Technology Acceptance ◽  
Attitude Change ◽  
Structural Equation ◽  
Online Survey ◽  
New Technology ◽  
User Engagement ◽  
Factors Affecting ◽  
Wide Range ◽  
Technology Applications ◽  
Acceptance Model

This study aims to understand the factors affecting the attitude towards and adoption of gamified systems, which are receiving increasing interest worldwide as they can be used for attitude change and increasing user engagement in a wide range of areas. Whether individuals use these systems because they consider them useful or if there are other motivational factors deemed important are analysed. Considering the gamification applications as new technology applications, an extended technology acceptance model (TAM) is used based on existing literature to explain attitude formation and adoption of gamified systems. An online survey is carried out on a social networking gamification website (EmpireAvenue.com) and the collected data is analysed using partial least squares structural equation modelling (PLS-SEM). The findings indicate that extended TAM incorporating intrinsic motivation elements (enjoyment and playfulness) is able to explain attitudes towards and continued use intention for a gamified system.

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