Emotional factors influencing technology acceptance particularly with regard to mobile service usage

2009 ◽  
Author(s):  
Elisabeth Platzer
Keyword(s):  
Technology Acceptance ◽  
Mobile Service ◽  
Service Usage ◽  
Emotional Factors ◽  
Factors Influencing

scholarly journals MOBILE SERVICE USAGE BEHAVIOR IN KOREA: AN EMPIRICAL STUDY ON CONSUMER ACCEPTANCE OF INNOVATIVE TECHNOLOGIES

2011 ◽  
Vol 17 (1) ◽  
pp. 151-173 ◽  
Author(s):  
Yeong-Wha Sawng ◽  
Seung-Ho Kim ◽  
Jungmann Lee ◽  
Young Sam Oh
Keyword(s):  
Information Technology ◽  
Technology Acceptance ◽  
Functional Performance ◽  
Behavioral Science ◽  
Mobile Services ◽  
Mobile Service ◽  
Clear Understanding ◽  
Service Usage ◽  
Factors Influencing ◽  
Usage Behavior

Whilst mobile services have grown to a sizeable market in recent years, and leaps and bounds have been made in related technology, consumers’ usage behavior with regard to these services has received little attention from researchers. Studies on related topics are few and scarce, if compared, for example, to studies on information systems or web services. The main purpose of this study is to investigate consumers’ usage behavior in mobile services to provide pointers for future development of this field. Specifically, this study attempts to identify variables influencing the use of mobile service consumers. We developed an information technology acceptance model to determine usage characteristics and usage trends in mobile services and predict consumers’ usage behavior based on patterns discerned from these characteristics and trends. Information technology acceptance models are a useful tool for understanding the behavior of consumers of services such as mobile services, combining aspects of a technology and service good, from the perspective of behavioral science. This study, comprehensively concerned with mobile service marketing-related issues, considers both factors influencing consumers’ usage behavior and also technical aspects of services. Factors influencing the behavior of mobile service consumers are investigated empirically, by examining them in a real-world context. The expected outcomes of this study are as follows: First, it will predict consumers’ usage behavior with regard to mobile services based on usage characteristics at the level of task management, and discern identifiable and recurring patterns. Second, it will awaken providers to the importance of technical and functional performance and a clear understanding of consumers’ needs for the success of marketing mobile services.

Why Do Physicians Reject the Electronic Health Record: A Theoretical Perspective? (Preprint)

2018 ◽  
Author(s):  
Weam Alfayez ◽  
Arwa Alumran ◽  
Dr Saja A. Al-Rayes
Keyword(s):  
Information Technology ◽  
Electronic Health Record ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Health Record ◽  
Record System ◽  
Factors Influencing ◽  
Tam Model ◽  
Electronic Health ◽  
Acceptance Model

BACKGROUND Many theories/ models adopted from behavioral sciences literature or developed within the field of information technologies could help in understanding the technology acceptance, usage, and effective adoption. OBJECTIVE The main aim of this paper is to review the different theories/ models that can help in understanding information technology/system acceptance and use, and to choose the most appropriate theoretical framework that could be applied to understand the factors influencing physicians’ use of the Electronic Health Record system (EHR) at King Fahd Military Medical Complex (KFMMC) in Dhahran city, Saudi Arabia. METHODS The theories/ models were reviewed using scientific databases. The inclusion criteria were if the theories/ models used to explain individual behaviors toward accepting and using of information technology including the once conducted within the healthcare. RESULTS The review showed that there were five theories/ models were used within information technology studies to understand the technology acceptance and used. There were Theory of Reasoned Action, Theory of Planned Behaviour, Innovation Diffusion Theory, Unified theory of acceptance and use of technology, and Technology Acceptance Model. Each has different explanatory power of technology use. The most appropriate theoretical framework to understand the reason behind physician use of the EHR at KFMMC would be the Technology Acceptance Model (TAM). TAM model could explain up to 75% of the variation in the behavioral intention (acceptance), and up to 62% of the variation in the actual use. It is the gold standard for assessing the usage of health technologies and systems. In fact, the TAM model is one of the core models used to explore the physician’s perceptions of the Electronic Health Record system adoption. CONCLUSIONS This review showed that there are different theories available in the literature can be used to justify the reason behind electronic health record acceptance. TAM is one of the effective, simplest models used to understand the factors influencing physicians to use the EHR-system. Further studies need to apply the TAM model to check its ability in explaining the reason behind EHR within different hospitals in Saudi Arabia

scholarly journals A Path Model of the Intention to Adopt Variable Rate Irrigation in Northeast Italy

2021 ◽  
Vol 13 (4) ◽  
pp. 1879
Author(s):  
Maurizio Canavari ◽  
Marco Medici ◽  
Rungsaran Wongprawmas ◽  
Vilma Xhakollari ◽  
Silvia Russo
Keyword(s):  
Technology Acceptance ◽  
Precision Agriculture ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Path Model ◽  
Irrigated Agriculture ◽  
Variable Rate ◽  
Intention To Adopt ◽  
Factors Influencing ◽  
Variable Rate Irrigation

Irrigated agriculture determines large blue water withdrawals, and it is considered a key intervention area to reach sustainable development objectives. Precision agriculture technologies have the potential to mitigate water resource depletion that often characterises conventional agricultural approaches. This study investigates the factors influencing farmers’ intentions to adopt variable rate irrigation (VRI) technology. The Technology Acceptance Model 3 (TAM-3) was employed as a theoretical framework to design a survey to identify the factors influencing farmers’ decision-making process when adopting VRI. Data were gathered through quantitative face-to-face interviews with a sample of 138 fruit and grapevine producers from the Northeast of Italy (Veneto, Emilia-Romagna, Trentino-Alto Adige, Friuli-Venezia Giulia). Data were analysed using partial least squares path modelling (PLS-PM). The results highlight that personal attitudes, such as perceived usefulness and subjective norm, positively influence the intention to adopt VRI. Additionally, the perceived ease of use positively affects intention, but it is moderated by subject experience.

scholarly journals Privacy-Aware Multidimensional Mobile Service Quality Prediction and Recommendation in Distributed Fog Environment

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Wenwen Gong ◽  
Lianyong Qi ◽  
Yanwei Xu
Keyword(s):  
Service Selection ◽  
Locality Sensitive Hashing ◽  
Mobile Service ◽  
Service Recommendation ◽  
User Privacy ◽  
Service Usage ◽  
Selection Decisions ◽  
Wide Range ◽  
Cross Platform ◽  
Computational Resources

With the ever-increasing popularity of mobile computing technology, a wide range of computational resources or services (e.g., movies, food, and places of interest) are migrating to the mobile infrastructure or devices (e.g., mobile phones, PDA, and smart watches), imposing heavy burdens on the service selection decisions of users. In this situation, service recommendation has become one of the promising ways to alleviate such burdens. In general, the service usage data used to make service recommendation are produced by various mobile devices and collected by distributed edge platforms, which leads to potential leakage of user privacy during the subsequent cross-platform data collaboration and service recommendation process. Locality-Sensitive Hashing (LSH) technique has recently been introduced to realize the privacy-preserving distributed service recommendation. However, existing LSH-based recommendation approaches often consider only one quality dimension of services, without considering the multidimensional recommendation scenarios that are more complex but more common. In view of this drawback, we improve the traditional LSH and put forward a novel LSH-based service recommendation approach named SerRecmulti-qos, to protect users’ privacy over multiple quality dimensions during the distributed mobile service recommendation process.

Analysis of technological, individual and community factors influencing the use of popular Web 2.0 tools in LIS education

2017 ◽  
Vol 35 (5) ◽  
pp. 977-993 ◽  
Author(s):  
Chokri Barhoumi
Keyword(s):  
Standard Deviation ◽  
Web 2.0 ◽  
Technology Acceptance ◽  
Information Science ◽  
Instant Messaging ◽  
Research Approach ◽  
Web 2.0 Tools ◽  
Content Type ◽  
Community Factors ◽  
Factors Influencing

Purpose This research paper aims to explore the technological, individual and community factors influencing the use of popular Web 2.0 tools in library and information science (LIS) education to prepare LIS students for Library 2.0. The study was guided by the activity theory (AT) and technology acceptance model (TAM) of Davis as a lens. The study reveals a set of factors concerning the technical tools, subjective perceptions, goals of online discussion, social presence within a community, rules for participation and roles of the participants that affect their online engagement patterns. Design/methodology/approach This study was performed during the 2015 academic year; it used a descriptive analytical research approach for exploring and analysing technological, individual and community factors influencing the use of the popular Web 2.0 tools in LIS education. Findings The results show that at the technological level of the AT, educators in the sample found the WhatsApp instant messaging and Twitter to be the easiest tools to use, selecting those tools at, respectively, 73.2 per cent (standard deviation = 0.450) and 61.1 per cent (standard deviation = 0.490). WhatsApp and Twitter also lead at the individual level of the AT, as the most valuable platforms for sharing information and knowledge. Video, text and photo objects are the most commonly shared items, used by 90.7, 93.5 and 98.9 per cent, respectively. Originality/value This study may be useful to help information science educators to prepare graduates for the emerging Web 2.0 environments and to prepare students for Library 2.0.

scholarly journals CHILDREN SOCIAL ATTRIBUTION BASED ON GENDER PERSPECTIVE

2021 ◽  
Vol 3 (1) ◽  
pp. 92
Author(s):  
Refika Mastanora ◽  
Rudi Pranata ◽  
Oktri Permata Lani
Keyword(s):  
Gender Roles ◽  
Point Of View ◽  
Social Expectations ◽  
Attribution Style ◽  
Emotional Factors ◽  
Social Attribution ◽  
Factors Influencing ◽  
Social Attributions ◽  
Thinking Process ◽  
Process Factors

Social attribution can appear spontaneously or through long considerations and thinking process. Factors influencing attribution is the attribution style; planned and unplanned attribution. This kind of behavior can arise due to emotional factors. Meanwhile, children's social attributions arise because of stereotypes or labeling that have been attached to society, thus it has an impact on children's understanding of gender since they were born. The existence of social construction regarding gender roles cannot be separated from how the paradigm views the labeling of the characteristics of women and men is. In children, this social attribution usually occurs because of the stereotype of gender roles taught to children. This stereotype is a labeling that begins based on the perception or point of view of a person. While gender role stereotypes are part of the discussion about gender "sex", namely social expectations that define how men and women think, feel, and act, which are part of the product of the stereotype itself.

Information Credibility Evaluation in Presence of Users’ Safety in New Retailing

2021 ◽  
Author(s):  
Dong Wang ◽  
Kehong Wang ◽  
Lemei Yan ◽  
Zeyu Yue ◽  
Jiewen Zhang
Keyword(s):  
Technology Acceptance ◽  
Information Acquisition ◽  
Structural Equation ◽  
Information Quality ◽  
Positive Impact ◽  
Reliability And Validity ◽  
Equation Modeling ◽  
Self Identity ◽  
Factors Influencing ◽  
Information Credibility

Understanding users’ safety perception of the credibility of web-based information has become increasingly important in the context of new retailing. This study extends the existing literature by exploring the factors influencing information credibility in the context of new retailing. Based on the technology acceptance model and the rational behavior theory, a theoretical model for the assessment of information credibility in new retailing was developed. We analyzed the factors influencing users’ safety preference toward information communication procedures and information credibility in new retailing based on two aspects: perceived information quality and user judgment motivation. The reliability and validity of the model measure were analyzed, and structural equation modeling was used to test the model hypotheses. The following results were obtained: (1) Authenticity, accuracy, and practicability positively affected the perceived information quality of new retailing information; (2) User judgment motivation had a positive impact on information users’ safety preference and information credibility; (3) Users’ safety preference positively affected information credibility; (4) Information acquisition, social interaction, and self-identity positively affected the perceived credibility of new retailing information.

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