scholarly journals The AgTech Startup Perspective to Farmers Ex Ante Acceptance Process of Autonomous Field Robots

2020 ◽  
Vol 12 (24) ◽  
pp. 10570
Author(s):  
Friedrich Rübcke von Veltheim ◽  
Heinke Heise
Keyword(s):  
Technology Acceptance ◽  
Autonomous Vehicles ◽  
New Technology ◽  
Crop Protection ◽  
Legal Framework ◽  
User Acceptance ◽  
Perceived Usefulness ◽  
Great Expectations ◽  
Field Robots ◽  
Ex Ante

Autonomous vehicles not only provide a new impetus in the development of car models in the automotive industry—even in agriculture there has recently been talk of autonomous field robots (AFR). Great expectations are placed on these digital assistants from a wide variety of perspectives. However, it is still unclear whether they will make the transition from market niches to broad-based distribution. Apart from various factors, this depends on user acceptance of this new technology expected by the innovators, since this is likely to be essential for the further development of AFR. For this purpose, the ex ante user acceptance of farmers from the perspective of various AgTech startups with AFR involvement in Europe was investigated in this exploratory and qualitative study. The Technology Acceptance Model (TAM) served as the basis for the developed interview guideline. In summary, the results confirm that a variety of factors potentially influence farmer acceptance and AFR diffusion from the perspective of AgTech startups, with perceived usefulness being considered the main motivation for using AFR. The interviewed experts believe that AFR will initially be used in crops that have relatively high costs for crop protection treatments before becoming economically attractive for other crops. The basic prerequisite for a successful market launch is an adjustment of the legal framework, which sets standards in relation to AFR and thus, provides security in the production process. The results could support political decision-makers in dealing with this new technology and AFR manufacturers in the promotion of AFR.

Using Technology Acceptance Model to Study Customers’ Perception Towards Green Banking

Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 402-409
Author(s):  
Deepak Shrivastava ◽  
Apurva Shrivastava ◽  
Gyan Prakash
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
New Technology ◽  
Banking System ◽  
Point Of View ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Tech-friendliness in this new era is an important quotient considered and the persons’ acceptance towards the technology frequency matters a lot. But still the frequency varies from person to person, this brought in the concept of Technology Acceptance Model given by Fred Davis in 1989. The theory of TAM is based on two theories that are Theory of Reasoned Action and Theory of Planned Behavior, TAM is extended version of these two. Green Banking is a new technology introduced by the banks that focuses on the growth of Sustainable development and Banking system too. Thus, banks ask their customers to use it or practice it in their daily life transactions. But every customer has their own point of view on the usage of Green banking. Thus, the research aims to understand the customers’ perception towards the Green Banking for this TAM is used. The research states that Perceived risk is the primary factor that is followed by perceived usefulness and perceived ease of use that impacts the decision to use green banking. Thus, the behavioral intention results in actual use of green banking usage for which people are trying to accept the new technology. So, the banks have earned points for creating awareness among their customers but still they have to work hard and clarify their customers’ problems and vanish that hitch that is stopping them to use green banking easily.

scholarly journals Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study

2021 ◽  
Vol 45 (4) ◽  
Author(s):  
Stefanie Jauk ◽  
Diether Kramer ◽  
Alexander Avian ◽  
Andrea Berghold ◽  
Werner Leodolter ◽  
...  
Keyword(s):  
Machine Learning ◽  
Mixed Methods ◽  
Technology Acceptance ◽  
Health Care Professionals ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Actual System ◽  
System Use ◽  
Delirium Management

AbstractEarly identification of patients with life-threatening risks such as delirium is crucial in order to initiate preventive actions as quickly as possible. Despite intense research on machine learning for the prediction of clinical outcomes, the acceptance of the integration of such complex models in clinical routine remains unclear. The aim of this study was to evaluate user acceptance of an already implemented machine learning-based application predicting the risk of delirium for in-patients. We applied a mixed methods design to collect opinions and concerns from health care professionals including physicians and nurses who regularly used the application. The evaluation was framed by the Technology Acceptance Model assessing perceived ease of use, perceived usefulness, actual system use and output quality of the application. Questionnaire results from 47 nurses and physicians as well as qualitative results of four expert group meetings rated the overall usefulness of the delirium prediction positively. For healthcare professionals, the visualization and presented information was understandable, the application was easy to use and the additional information for delirium management was appreciated. The application did not increase their workload, but the actual system use was still low during the pilot study. Our study provides insights into the user acceptance of a machine learning-based application supporting delirium management in hospitals. In order to improve quality and safety in healthcare, computerized decision support should predict actionable events and be highly accepted by users.

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 Socio-Individual Prerequisites of Energy Transition in Iran: Investigating Public Acceptance of Solar Panel Technology in Rural Areas

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Sara Karimzadeh ◽  
Eva Kašparová
Keyword(s):  
Technology Acceptance ◽  
Rural Areas ◽  
New Technology ◽  
Energy Transition ◽  
Perceived Usefulness ◽  
Mediating Role ◽  
Iranian Government ◽  
Acceptance Model ◽  
Adoption Intention

Iran has inordinate natural capacity to benefit from solar energy all year. Interim plansby the Iranian government have been implemented to develop energy transition in ruralareas, however, the outcomes have not been promising so far. This research seeks toaddress the question of what factors influence villagers’ tendency towards solar panelacceptance for domestic usage. To answer the question, a survey was conducted amongresidents who had not installed the new technology in the survey time. A model basedon the modified framework of the Technology Acceptance Model for energy transitionwas developed and data was collected from the northern part of Iran—Mazandaranprovince. The data revealed that through the mediating role of attitude, the strongesteffect on adoption intention relates to perceived usefulness. The paper discusses whysolar energy technology is not welcomed in the studied community. The findingscontribute to increase our knowledge about underlying factors on the development ofpublic adoption of renewable energies in a developing country.

An Examination of Factors Associated with User Acceptance of Social Shopping Websites

2013 ◽  
pp. 28-45
Author(s):  
Jia Shen ◽  
Lauren B. Eder
Keyword(s):  
Technology Acceptance ◽  
Social Engagement ◽  
Strong Support ◽  
User Acceptance ◽  
Perceived Usefulness ◽  
Theoretical Development ◽  
Future Research ◽  
Social Commerce ◽  
Social Shopping ◽  
Acceptance Model

Social commerce is the latest development in e-commerce to combine the power of online social networking with shopping. While the adoption of information technology is well studied, new theoretical development is needed to account for the specific characteristics of social commerce applications and their interactions with the user. This study examines factors that are associated with user acceptance of social shopping websites, which are sites designed specifically to support social interactions while users shop. This paper augments the Technology Acceptance Model with constructs that enhance the specificity of the model to the social shopping application of social commerce, including social comparison, social engagement, enjoyment as well as perceived ease of use and perceived usefulness. The model was empirically tested, and the results provided strong support. Implications and directions for future research are also discussed.

Organisational Change and Acceptance

2012 ◽  
pp. 99-118
Author(s):  
Marilyn Wells
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
New Technology ◽  
Organisational Change ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Change Environment ◽  
Change Acceptance ◽  
Change Factors ◽  
Acceptance Model

This chapter reports on the development of the technology acceptance model from 1986 when Davis investigated technology acceptance from an individual’s view as to the ease of use and perceived usefulness of a system. Since then, many variations have been presented in attempts to explain how and what influences a computer system user’s uptake of new technology within an organisation. Whilst all variations were developed explicitly to predict users’ acceptance or rejection of new technology, these variations are in essence predictors of acceptance or rejection of change. Factors such as the organisational change environment and informal communication (rumours), together with social influence as exercised by colleagues should be considered major contributors to the perceptions of new technology and therefore acceptance. This chapter extends the original model to include the variations and proposes that rather than look at technology acceptance in isolation, acceptance of new technology should be viewed as acceptance of change. The author proposes the model Social Influence and Change Acceptance (SICAM) to reflect the inclusion of TAM’s variations in an organizational change context.

Influences of Demographic Information as Moderating Factors in Adoption of M-Learning

2012 ◽  
Vol 3 (1) ◽  
pp. 8-21 ◽  
Author(s):  
Elaheh Yadegaridehkordi ◽  
Noorminshah A. Iahad
Keyword(s):  
Technology Acceptance ◽  
Self Efficacy ◽  
Quantitative Research ◽  
New Technology ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Research Approach ◽  
Perceived Ease Of Use ◽  
Electronic Learning ◽  
Prior Use

In today’s world, interests of mobile devices for educational processes anytime and anywhere has been on the rise. However, adoption of this new technology by students is complicated. The purpose of this study is to examine the factors that influence the adoption of M-learning by students and to propose an appropriate model for its adoption. Three external variables, namely Perceived Mobility Value, Prior Use of Electronic Learning and Self-efficacy, were incorporated into the Technology Acceptance Model and tested in Universiti Teknologi Malaysia. Quantitative research approach was used to survey 350 students. Empirical data from multiple regression analyses indicates that Perceived Usefulness, Perceived Ease of use, Perceived Mobility Value, Prior Use of Electronic Learning, Self-efficacy, and Attitude toward using, can positively affect the adoption of M-learning. Results are explored further in this study

Technology Acceptance Model

2007 ◽  
pp. 306-308
Author(s):  
M. McCord
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Information Technologies ◽  
Employee Performance ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Intent To Use ◽  
Acceptance Model

The Technology Acceptance Model (TAM) (Davis, 1989) measures perceived usefulness and perceived ease of use as predictors of a user’s intent to use computer technology, and their actual usage on the job. The measure first appeared in 1989, in an MIS Quarterly article by Fred Davis and in a coauthored article in Management Science(Davis, 1989; Davis, Bagozzi, & Warshaw, 1989). Extending the Theory of Reasoned Action (Ajzen & Fishbein, 1980) to technology, Perceived usefulness (U) is defined as “the degree to which a person believes a particular system would enhance his or her job performance.” Perceived ease of use (EOU) is defined as “the degree to which a person believes that using a particular system would be free of effort.” ‘Usage intentions’ (BI) was measured through self-predicted future usage and ‘user acceptance’ was measured through self-reported current usage. Although information technology is adopted to improve employee performance, these gains are often lost or diminished by users’ unwilling to accept and use the information system. Davis wanted to understand why users rejected or accepted information technologies, to better predict, explain and increase user acceptance. The TAM model has since become one of the most established models for predicting user acceptance.

The Study of User Acceptance Toward E-Learning System in Higher Education

2017 ◽  
Vol 7 (2) ◽  
pp. 466
Author(s):  
Dana Indra Sensuse ◽  
Darmawan Baginda Napitupulu
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Evaluation Model ◽  
User Acceptance ◽  
Positive Influence ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Perceived Ease Of Use ◽  
E Learning

<p>E-learning is a model of delivering learning content electronically with the help of computers and multimedia. ABC University has implemented the e-learning system for two (2) years in order to improve the quality of teaching and learning process. This study aims to determine the level of user acceptance, especially from the perspective of students. In other words, this study also wants to evaluate the implementation of e-learning systems in higher education as well as identifying any factors that encourage students to use e-learning system especially in ABC University. The research method used was survey with the approach of TAM (Technology Acceptance Model) as the technology acceptance evaluation model consisting of two main factors: perceived ease of use and perceived usefulness. The results showed perceived usefulness significantly positive influence on user acceptance, while perceived ease of use did not significantly influence on user acceptance. The perceived ease of use also significantly positive influence perceived usefulness. The variance of user acceptance could be explained by two factors about 50.5%. </p>

scholarly journals Health Advertising on Short-Video Social Media: A Study on User Attitudes Based on the Extended Technology Acceptance Model

2020 ◽  
Vol 17 (5) ◽  
pp. 1501 ◽  
Author(s):  
Jie Zhao ◽  
Jianfei Wang
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Purchase Intention ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Health Related ◽  
Short Video ◽  
Acceptance Model

The rapid development of short-video social network platforms provides us with an opportunity to conduct health-related advertising and recommendation. However, so far, there are no empirical evidence on whether users are willing to accept health-related short-video advertisements. Here, acceptance refers to purchase intention, meaning that users will read short-video ads, share ads with others, or even open the product link embedded in ads to purchase the product. In this paper, we make the first attempt to model and quantify user acceptance of health-related short-video advertisements. Particularly, we propose a new research model that enhances the Technology Acceptance Model (TAM) with two new designs. First, we propose four new antecedents including social interaction, intrusiveness, informativeness, and relevance into the original TAM to reflect the features of short-video social networks. Second, we introduce two mediator variables including perceived usefulness and attitude so that we can better study how different factors affect user acceptance of health-related short-video ads. We perform a survey on the Internet and conduct an empirical analysis of the surveyed data. The results show that the four antecedents as well as the perceived ease of use have significant influences on perceived usefulness, attitude, and purchase intention. Further, perceived usefulness plays a valid mediating role in attitude and purchase intention. We also found that users’ perceived ease of use on health-related short-video ads cannot significantly predict users’ attitudes toward ads. This is a new finding in social media-oriented ads. Finally, we integrate the empirical findings and present reasonable suggestions for advertisers and marketers to promote health-related short-video ads.

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