scholarly journals Study on Social Media Users and Its Relation to the e-Commerce Activities on Youth in Indonesia

2016 ◽  
Vol 3 (1) ◽  
pp. 11-21
Author(s):  
Krisma Budianto Irawan ◽  
Heru Purnomo Ipung ◽  
Maulahikmah Galinium
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Research Purpose ◽  
The Social ◽  
Acceptance Model

Internet, Social Media and e-Commerce are three most common thingspeople could find and usually interact with nowadays. Internet has beenpart of our basic daily needs: no one can work professionally withoutbeing connected to the network even once in a day. Those people usuallyalso have at least one Social Media accounts; as well know about theexistence of e-Commerce markets. Also, Social Media and e-CommerceChannel nowadays more likely to interact with each other: peoplespreading the word about their commerce in the Social Networks. Basedon that fact, this research purpose is to find out which factors, based onthe Technology Acceptance Model, is playing the huge role on this socalled relations between the interaction of people in the Social Media andtheir activities in the e-Commerce, especially on Indonesian youth. Itturns out, that Voluntariness has 55% contribution towards this relations,as well as Job Relevance, Result Demonstrability and Computer SelfEfficacy with 63%, 60% and 58% contributions respectively.

Use of Social Media in Planning Domestic Holidays: A Study on Malaysian Millennials

2020 ◽  
pp. 097639962093850
Author(s):  
Krishna Moorthy ◽  
Nik Mohamad Zaki Nik Salleh ◽  
Ang Xin Jie ◽  
Chan Shu Yi ◽  
Lau Shin Wei ◽  
...  
Keyword(s):  
Social Media ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Theory Of Planned Behaviour ◽  
Word Of Mouth ◽  
Media Usage ◽  
The Social ◽  
Travel Industry ◽  
Use Of Social Media ◽  
Acceptance Model

This study examines the social media usage of Malaysian millennials in planning their domestic holidays. This study integrated the theory of planned behaviour (TPB) and technology acceptance model (TAM) variables by adding electronic word-of-mouth (e-WOM), as it is a crucial factor influencing the travel industry nowadays. Data were collected from 301 Malaysians. The results show that e-WOM is the greatest antecedent influencing Malaysian millennials to use social media in planning their domestic holidays. Local tourism organizations such as Tourism Malaysia could gain an understanding of the issue through this study, and the promotion of local tourism through social media could be developed to reach millennials in Malaysia.

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.

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 An Empirical Study Of User Acceptance Of Online Social Networks Marketing

2013 ◽  
Vol 50 ◽  
Author(s):  
Olumayowa Mulero ◽  
Michael Adeyeye
Keyword(s):  
Social Networks ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Online Social Networks ◽  
User Acceptance ◽  
Perceived Usefulness ◽  
Western Cape ◽  
User Intentions ◽  
Using Data ◽  
Acceptance Model

The explosion of Internet usage has drawn the attention of researchers towards online Social Networks Marketing (SNM). Research has shown that a number of the Internet users are distrustful and indecisive, when it comes to the use of social networks marketing system. Therefore, there is a need for researchers to identify some of the factors that determine users’ acceptance of social networks marketing using Technology Acceptance Model (TAM). This study extended the Technology Acceptance Model theoretical framework to predict consumer acceptance of social networks marketing within Western Cape Province of South Africa. The research model was tested using data collected from 470 questionnaires and analysed using linear regression. The results showed that user intentions to use SNM are strongly and positively correlated with user acceptance of using SNM systems. Empirical results confirmed that perceived credibility and perceived usefulness are the strongest determinant in predicting user intentions to use SNM system.

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