scholarly journals Go-Food Features and Social Implications in The Community When #Dirumahaja Programs Are Implemented

2020 ◽  
pp. 255-262
Author(s):  
Edy Prihantoro ◽  
Didin Mukodim ◽  
Noviawan Rasyid Ohorella ◽  
Astiyani Lestari
Keyword(s):  
Social Media ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Research Method ◽  
Large Scale ◽  
Advanced Technology ◽  
Public Facilities ◽  
The Government ◽  
Acceptance Model ◽  
Descriptive Method

When the Covid-19 pandemic begins to spread in Indonesian society, the government must limit the space for people to stay indoors. The government has done everything from closing schools and public facilities to implementing Large-Scale Social Restrictions (PSBB) in order to break the chain of spreading the Covid-19 virus. Then the Indonesian people reminded each other to stay indoors. Until the hashtag #dirumahaja appeared on Twitter social media. Due to the limited space for people to leave the house, especially when buying food, people choose to take advantage of advanced technology by buying food online using the GoFood Feature Gojek application. The purpose of this study was to determine how much the effectiveness of the GoFood features in the Gojek application on the ease with which people order food when #dirumahaja is implemented. The research method used is descriptive method with a quantitative approach and has a total of 244 respondents. Collecting data using a questionnaire technique or distributing questionnaires. The theory used in this research is the Technology Acceptance Model. The results of this study are that there is an effect of the Go-food feature in the Gojek application on the ease with which people order food when the #dirumahaja Program is implemented. The ease of features in the Gojek application turns out to make it easier for people who need food through the Gojek application during the Pandemic.

The Actual Use of Social Media in Indonesia

2021 ◽  
pp. 640-663
Author(s):  
Sevenpri Candra ◽  
Steffani Steffani ◽  
Klaudiya Klaudiya ◽  
Iva Sutiana
Keyword(s):  
Quality Of Life ◽  
Social Media ◽  
Technology Acceptance ◽  
Social Exchange ◽  
Technology Acceptance Model ◽  
Privacy Concern ◽  
Actual Use ◽  
Use Of Social Media ◽  
Acceptance Model

In Indonesia, the use of social media has been increased. Many factors are related to support the use of social media. This research aims to prove the affects between quality of life, social exchange, and technology acceptance model, which is based on previous research by adding privacy concern as moderating variable. This research conducted by distributing online questionnaires to the citizen that using social media in Indonesia. This research used Structural Equation Modeling as analysis method with software WarpPLS 5.0 as statistic tools. Data were collected from online questionnaires and the total of sample are 440 respondents. The result for this research shows that quality of life affects social exchange, which also affects to technology acceptance model and results to actual use of social media while the variable of privacy concern doesn't prove as moderating variable. As the result of the study, researchers suggest to the organizations that provide social media to pay attention to quality of life that will motivate someone to using social media.

scholarly journals Acceptability and Barriers to Use of the ASMAN Provider-Facing Electronic Platform for Peripartum Care in Public Facilities in Madhya Pradesh and Rajasthan, India: A Qualitative Study Using the Technology Acceptance Model-3

2020 ◽  
Vol 17 (22) ◽  
pp. 8333
Author(s):  
Gulnoza Usmanova ◽  
Ashley Gresh ◽  
Megan A. Cohen ◽  
Young-Mi Kim ◽  
Ashish Srivastava ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Clinical Decision ◽  
Madhya Pradesh ◽  
Middle Income ◽  
Record Keeping ◽  
The Government ◽  
Acceptance Model ◽  
Long Term Impact

The evolving field of mobile health (mHealth) is revolutionizing collection, management, and quality of clinical data in health systems. Particularly in low- and middle-income countries (LMICs), mHealth approaches for clinical decision support and record-keeping offer numerous potential advantages over paper records and in-person training and supervision. We conducted a content analysis of qualitative in-depth interviews using the Technology Acceptance Model 3 (TAM-3) to explore perspectives of providers and health managers in Madhya Pradesh and Rajasthan, India who were using the ASMAN (Alliance for Saving Mothers and Newborns) platform, a package of mHealth technologies to support management during the peripartum period. Respondents uniformly found ASMAN easy to use and felt it improved quality of care, reduced referral rates, ensured timely referral when needed, and aided reporting requirements. The TAM-3 model captured many determinants of reported respondent use behavior, including shifting workflow and job performance. However, some barriers to ASMAN digital platform use were structural and reported more often in facilities where ASMAN use was less consistent; these affect long-term impact, sustainability, and scalability of ASMAN and similar mHealth interventions. The transitioning of the program to the government, ensuring availability of dedicated funds, human resource support, and training and integration with government health information systems will ensure the sustainability of ASMAN.

Adoption of Social Media Using Technology Acceptance Model

2014 ◽  
Vol 10 (4) ◽  
pp. 18-35 ◽  
Author(s):  
Vincent Dutot
Keyword(s):  
Social Media ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Point Of View ◽  
Perceived Usefulness ◽  
Social Media Marketing ◽  
Quantitative Survey ◽  
Digital Gap ◽  
Acceptance Model ◽  
Sem Analyses

1.4 billion Euros. This is the amount spent on social media marketing in Europe. This figure is expected to reach 3.2 billion in 2017 (Forrester, 2013), an increase of nearly 150%. However, from the point of view of literature, the concept of social media is still new even though the importance of technology in communication has been studied before. This research focuses on adoption of social media by investigating the digital gap that could exist between generations. Based on a quantitative survey (414 answers), CFA and SEM analyses were used to highlight the main influencers of adoption of social media per generation. Results show that age influences optimism, innovativeness, and perceived usefulness of adoption of social media.

Technology acceptance model (TAM) and social media usage: an empirical study on Facebook

2014 ◽  
Vol 27 (1) ◽  
pp. 6-30 ◽  
Author(s):  
Rupak Rauniar ◽  
Greg Rawski ◽  
Jei Yang ◽  
Ben Johnson
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Networking Site ◽  
Data Set ◽  
Content Type ◽  
Media Usage ◽  
Usage Behavior ◽  
Acceptance Model

Purpose – Given the widespread popularity of social media, such as Twitter, Facebook, Google+, and LinkedIn, theorizing and understanding the user attitude and usage behavior of social media site is fundamental in developing future understandings and deployment of these new technologies. One approach to such studies on drivers of social media usage behavior would be to revisit the technology acceptance model (TAM). The purpose of this paper is to discuss these issues. Design/methodology/approach – Decades of extensive research have focussed on validating the TAM, proposed by Davis (1986), for various types of information systems and communication technologies. TAM forecasts individual adoption and voluntary use of technology. This study examines individual adoption behavior of the most popular social networking site Facebook. The influences on the intention of using social networking based on individual's perceived ease of use (EU), the user's critical mass (CM), social networking site capability (CP), perceived playfulness (PP), trustworthiness (TW), and perceived usefulness (PU) is empirically examined with a primary data set of 398 users of Facebook gathered from a web-based questionnaire survey. Findings – The results demonstrate that the revised social media TAM model proposed in this study supports all the hypotheses of social media usage behavior. The results of this study provide evidence for the importance of additional key variables to TAM in considering user engagement on social media sites and other social-media-related business strategies. Originality/value – Based on our review of existing scientific literature on social media, few empirical studies have been conducted to scientifically evaluate and explain the usage behavior of social media using Facebook. A validated instrument of usage behavior of social media can provide usability experts and practitioners with a validated tool to assess social media acceptance and usage behavior. This can help us gain a better understanding of “who is and who is not using these sites, why and for what purposes” (Boyd and Ellison, 2007).

scholarly journals A Technology Acceptance Model of common bean growers’ intention to adopt Integrated Production in the Brazilian Central Region

2018 ◽  
Vol 68 (3) ◽  
pp. 131-143
Author(s):  
Aluisio Goulart Silva ◽  
Maurizio Canavari ◽  
Katia Laura Sidali
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Positive Impact ◽  
Agricultural Practices ◽  
Farming System ◽  
Perceived Usefulness ◽  
Integrated Production ◽  
The Government ◽  
Acceptance Model

Summary The Brazilian government encouraged the Integrated Production (IP) farming system adoption to mitigate the negative environmental impacts of intensive bean production in irrigated areas of the Brazilian savanna. By ensuring food-safety and the use of sustainable agricultural practices, IP may strengthen national agriculture competitiveness. Regardless of the government efforts to promote IP in the main agricultural regions and among the largest food growers, only few slowly adopted it. Therefore, studying the process of technology adoption is important to identify possible problems that could affect adoption and diffusion of this farming system. We applied a Technology Acceptance Model (TAM) to explain the adoption and use of IP by the common beans growers from one of the most important bean production regions in Brazil. Ninety-three interviews were administered to different actors involved in beans production. A Structural Equation Model (SEM) following a confirmatory factor analysis (CFA) was used to identify the relationship between factors. The findings suggest that respondents have positive perceptions toward adopting IP. Perceived usefulness has a positive impact on attitude, and attitudes affect behavioral intention. However, the proposed model only partially explains IP adoption intentions.

Towards an Understanding of User Acceptance to Use Biometrics Authentication Systems in E-commerce

2010 ◽  
Vol 6 (3) ◽  
pp. 34-55 ◽  
Author(s):  
Fahad AL Harby ◽  
Rami Qahwajim ◽  
Mumtaz Kamala
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Theoretical Basis ◽  
Large Scale ◽  
New Technology ◽  
User Acceptance ◽  
Biometric Authentication ◽  
Biometric Systems ◽  
Authentication System ◽  
Acceptance Model

Security is an increasingly important issue for business, and with it, the need for authentication. The use of biometric systems for personal authentication is a response to the rising issue of authentication and security. As with any new technology, user acceptance is often hard to measure, thus, in this work, a study of user acceptance of a biometrics authentication system in e-commerce, such as online banking within the Saudi society, was conducted. The study examined whether Saudis are practically willing to accept this technology by involving 306 participants in a large scale laboratory experiment that actively tested a biometric authentication system in combination of a survey. The Technology Acceptance Model (TAM) was adopted as the theoretical basis to develop the research framework in which the model has proven its efficiency as a good predictor for the study’s application.

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