scholarly journals Characterizing Consumer Behavior in Leveraging Social Media for E-Patient and Health-Related Activities

2019 ◽  
Vol 16 (18) ◽  
pp. 3348 ◽  
Author(s):  
Ira Puspitasari ◽  
Alia Firdauzy
Keyword(s):  
Social Media ◽  
Consumer Behavior ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Healthcare Management ◽  
Partial Least Square ◽  
Least Square ◽  
Intention To Use ◽  
Healthcare Needs ◽  
Health Related

The emergence of e-patients has encouraged consumers, people who are non-medical experts, to be more engaged in healthcare needs by utilizing online sources via social media. However, the nature of social media and regulation issues have caused concerns for the reliability and validity of the shared information. These phenomena shape consumers behavior in leveraging social media for e-patient activities. This study investigates consumer behavior using an integrated model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Protection Motivation Theory (PMT). The data collected from the participants (N = 312) was analyzed using partial least square structural equation modelling. The results showed that behavioral intention to use social media for e-patient activities was significantly affected by performance expectancy, effort expectancy, perceived severity, perceived susceptibility, and response efficacy; and that behavioral intention corresponded positively to usage intention. In addition, the results also indicate that the intention to use social media for health-related purposes is driven by awareness of preventing health problems and attempts to reduce the risk of developing an illness. Based on findings, this study recommends strategies and initiatives to optimize social media for promoting a healthy lifestyle and educating society about public health and healthcare management.

scholarly journals ANALISIS PENERIMAAN APLIKASI PEMBELAJARAN ONLINE MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL 3 DAN PARTIAL LEAST SQUARE STRUCTURAL EQUATION MODEL (PLS-SEM)

Factor M ◽  
2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Jerhi Wahyu Fernanda ◽  
Noer Hidayah
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Actual System ◽  
Behavioral Intention To Use

This research aims to examine the factors that influence to the acceptance of the Google classroom (GC) application in online learning. Conceptual model to assess acceptance of a technology use the Technology accept model (TAM) 3 model. TAM 3 is a development of the TAM model by adding the Perceived Ease of Use dimension which can be used to predict and explain behavior that encourages the use of technology cause that is always experiencing development. The statistical analysis used is the Partial Least Square Structural Equation Model. The data obtained are primary data. It has obtained from questionnaires distributed via google forms. The sample are 150 respondents. This research used simple random sampling technique with criteria that must be fulfilled. The variable consists of 4 latent variables, consist of Perceived Ease of Use, Perceived Usefulness, Behavioral Intention to Use and Actual System Use. The measurement scale uses a 5 category Likert scale. The results of statistical analysis of the research, Perceived Ease of Use has a significant effect on Perceived Usefulness and Behavioral Intention to Use, Perceived Usefulness has a significant effect on Behavioral Intention to Use and Behavioral Intention to Use has a significant effect on Actual System Use.Penelitian ini bertujuan untuk meneliti faktor-faktor yang berpengaruh terhadap penerimaan aplikasi pembelajaran online Google classroom dalam pembelajaran online. Model konseptual untuk menilai penerimaan terhadap suatu teknologi menggunakan model Technology acceptance model (TAM) 3. TAM 3 merupakan pengembangan dari model TAM dengan menambahkan dimensi Perceived Ease of Use yang dapat digunakan untuk memprediksi, dan menjelaskan perilaku yang mendorong penggunaan teknologi yang selalu mengalami perkembangan. Analisis statistika yang digunakan adalah Partial Least Square Structural Equation Model. Data yang didapatkan adalah data primer dari kuesioner yang disebar melalui google form. Sampel berjumlah 150. Penelitian ini menggunakan teknik simpel random sampling. Terdapat 4 variabel latent yaitu Perceived Ease of Use, Perceived Usefulness, Behavioral Intention to Use dan Actual System Use. Skala pengukuran menggunakan skala likert 5 kategori. Hasil analisis statistika didapatkan kesimpulan variabel Perceived Ease of Use berpengaruh signifikan terhadap Perceived Usefulness dan Behavioral Intention to Use, Perceived Usefulness memiliki pengaruh yang signifikan terhadap terhadap Behavioral Intention to Use dan Behavioral Intention to Use berpengaruh signifikan terhadap Actual System Use.

scholarly journals Adoption of Video Learning SOPs: Evidence from the Financial Sector with UTAUT Perspective

2021 ◽  
Vol 3 (2) ◽  
pp. 178-191
Author(s):  
Maya Anggraini ◽  
Prio Utomo ◽  
Friska Natalia
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Financial Sector ◽  
Partial Least Square ◽  
Least Square ◽  
Intention To Use ◽  
Online Questionnaire ◽  
Performance Expectancy ◽  
Perceived Interactivity ◽  
Behavioral Intention To Use

As a highly regulated sectors, banks should be able to manage various risks by implementing Good Corporate Governance through detailed Standard Operating Procedure (SOP). Currently, financial sectors in Indonesia are dominated by Millennial’s workforce whom prefer digital way of communication rather than conventional reading. Thus, one multinational bank in Indonesia implements Video Learning SOPs to accommodate Millennials. The purpose of this study is to understand the adoption of Video Learning SOPs in financial sector using UTAUT. The study is quantitative research with availability sampling. 1077 respondents gathered using online questionnaire and analyzed using Partial-Least Square Structural Equation Model (PLS-SEM). Perceived interactivity was included as additional factors and the moderation of Age also analyzed. The results showed that there was significant relation between Performance Expectancy, Effort Expectancy, Social Influence, and Perceived Interactivity with Behavioral Intention to use Video Learning SOPs whereas Perceived Interactivity and Performance Expectancy also significantly impact it. It also revealed that there was positive but insignificant moderating effect of Age on the Behavioral Intention to use Video Learning SOPs. This research is among the first that reveals significant factors that impacting the adoption of Video Learning SOPs in a highly regulated industry.

scholarly journals ANALISIS PENERIMAAN APLIKASI PEMBELAJARAN ONLINE MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL 3 DAN PARTIAL LEAST SQUARE STRUCTURAL EQUATION MODEL (PLS-SEM)

Factor M ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 161-172
Author(s):  
Noer Hidayah ◽  
Jerhi Wahyu Fernanda
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Behavioral Intention To Use

Penelitian ini bertujuaan untuk meneliti faktor-faktor yang berpengaruh terhadap penerimaan aplikasi pembelajaran online Google classroom (GC) dalam pembelajaran online. Model konseptual untuk menilai penerimaan terhadap suatu teknologi menggunakan model  Technology acceptance model (TAM) 3. TAM 3 merupakan pengembangan dari model TAM dengan menambahkan dimensi Perceived Ease of Use yang dapat digunakan untuk memprediksi, dan menjelaskan perilaku yang mendorong penggunaan teknologi yang selalu mengalami perkembangan. Analisis statistika yang digunakan adalah Partial Least Square Structural Equation Model. Data yang didapatkan adalah data primer yang didapatkan dari kuesioner yang disebar melalui google form. Sampel dalam penelitian ini berjumlah 150. Penelitian ini menggunakan teknik simpel random sampling dengan kriteria yang harus dipenuhi. Variabel terdiri dari 4 variabel latent yaitu Perceived Ease of Use, Perceived Usefulness, Behavioral Intention to Use dan Actual System Use. Skala pengukuran menggunakan skala likert 5 kategori. Hasil analisis statistika didapatkan kesimpulan variabel Perceived Ease of Use berpengaruh signifikan terhadap Perceived Usefulness  dan Behavioral Intention to Use,  Perceived Usefulness memiliki pengaruh yang signifikan terhadap terhadap Behavioral Intention to Use dan Behavioral Intention to Use berpengaruh signifikan terhadap Actual System Use.  

Ride on Conveniently!

2021 ◽  
Vol 13 (2) ◽  
pp. 19-35
Author(s):  
Noman Hasan ◽  
Abdul Gaffar Khan ◽  
Mohammad Awal Hossen ◽  
Ariful Islam
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Sharing Economy ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Intention To Use ◽  
It Adoption ◽  
Ride Sharing ◽  
Behavioral Intention To Use

This study investigates the passengers' adoption of a ride-sharing service app (UBER) in Bangladesh. This study employed the most widely used and cited IT adoption model, The Unified Theory of Acceptance and Use of Technology-2 (UTAUT2), as the theoretical framework to examine the passengers' adoption of the popular sharing economy tools ride-sharing service applications (i.e., Uber). This study adds a new construct, safety, in the UTAUT2 model. Data were obtained from 206 participants which were analyzed using partial least square structural equation modeling (PLS-SEM). The results indicated that performance expectancy, effort expectancy, social influence, hedonic motivation, and facilitating conditions are the most significant determinant factors of behavioral intention to use the Uber app. In contrast, behavioral intention to use the Uber app is not significantly influenced by price value and safety. Additionally, the theoretical and practical implications of these results are discussed, which elicits the importance for business managers, marketers, and policymakers on sharing economy platforms.

scholarly journals The Dark Side of Mobile Learning via Social Media: How Bad Can It Get?

2021 ◽  
Author(s):  
Xiu-Kin Loh ◽  
Voon-Hsien Lee ◽  
Xiu-Ming Loh ◽  
Garry Wei-Han Tan ◽  
Keng-Boon Ooi ◽  
...  
Keyword(s):  
Social Media ◽  
University Students ◽  
Mobile Learning ◽  
Structural Equation ◽  
Teaching And Learning ◽  
Online Survey ◽  
Partial Least Square ◽  
Least Square ◽  
Dark Side ◽  
Intention To Use

AbstractAs the COVID-19 pandemic continues to spread at an unprecedented rate, many universities around the world halted physical forms of teaching and learning to stop the spread of the virus. As a result, many university students were forced to utilize online learning through channels such as mobile social media. Due to the novelty of this situation, there are many unknowns particularly with the negative influences of mobile learning via social media on university students. Thus, this study looks to examine this subject matter from the perspective of the stimulus–organism–response theory. The uniquely developed research model included four stimuli (i.e., social overload, information overload, life invasion, and privacy invasion), two organisms (i.e., technostress and exhaustion) as well as a response in terms of reduced intention to use mobile learning via social media. The responses were collected from 384 university students via an online survey and analyzed with the Partial-Least-Square-Structural-Equation-Modelling. It was found that the antecedents for both technostress and exhaustion were able to account for more than half of their respective variances. Furthermore, technostress and exhaustion were significant facilitators of the students’ reduced intention to use mobile learning via social media. In addition to the practical insights for stakeholders in the education industry, this study also posited several theoretical implications for researchers.

scholarly journals Behavioral Intention to Use IoT Technology in Healthcare Settings

2019 ◽  
Vol 9 (5) ◽  
pp. 4769-4774 ◽  
Author(s):  
M. H. Alanazi ◽  
B. Soh
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Healthcare Setting ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Equation Modeling ◽  
Intention To Use ◽  
Behavioral Intention To Use

Rapid scaling of using the Internet of Things (IoT) technology has been seen recently in numerous applications in healthcare to deliver proper services. This was motivated by the declining size and cost of the employed IoT devices. Developing such technology has been well investigated in the literature; however, few studies have explored the factors influencing its adaptation in the healthcare setting. In this study, we investigate the core factors that influence the acceptance of using IoT for Healthcare Purposes in the Kingdom of Saudi Arabia (KSA). Accordingly, a theoretical framework, based on the Technology Acceptance Model (TAM), was developed and tested empirically. The modified model added variables that provide a better explanation of the acceptance of healthcare technology. To ground our conceptual idea, a survey was designed and performed on 407 patients (207 males, 200 females). The Partial Least Square Structural Equation Modeling (SEM) technique was applied to analyze the effect of eight hypothesized predicting constructs on the collected data. Results revealed that cost, privacy concerns, and perceived usefulness were the most significant predictors of behavioral intention to use. However, attitude and perceived connectedness were found to be irrelevant in predicting the intention to use IoT. Ultimately, results found that there is no correlation between gender and behavioral intention.

Consumer Confusion in Mobile Application Buying

2014 ◽  
Vol 10 (4) ◽  
pp. 52-70 ◽  
Author(s):  
Tathagata Ghosh ◽  
Venu Gopal Rao
Keyword(s):  
Consumer Behavior ◽  
Structural Equation ◽  
Need For Cognition ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Future Research ◽  
Consumer Confusion ◽  
Managerial Implications ◽  
Research Findings

This study aims to examine effects of consumer confusion proneness on two consumer behavior variables, word of mouth and buying decision, in a confusion prone product market like smartphone and mobile applications (app). Additionally, the study examines the moderating influence of a personality trait variable pertinent to information processing – need for cognition, on the afore-mentioned relationships. Data were collected via a survey from 254 post-graduate students and analyzed with the help of structural equation modeling with a partial least square (PLS) approach using SmartPLS 2.0. Research findings indicate that the dimensions of consumer confusion proneness behave differently in terms of their linkages with consumer behavior. Further, as expected, consumers' need for cognition also play a major moderating role which helps to fathom the concept of consume confusion in the context of mobile and smartphone applications. Academic and managerial implications as well as scope for future research are also discussed.

scholarly journals Mediating Effect of Social Media Marketing Adoption Towards Business Performance: An Approach of Structural Equation Modelling Partial Least Square (SEM-PLS)

2020 ◽  
Vol 11 (5) ◽  
pp. 100
Author(s):  
Muhammad Faizal Samat ◽  
Mohd Nor Hakimin Yusoff ◽  
Mohammad Ismail ◽  
Nur Amalina Awang ◽  
Norazlan Anual
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Business Environment ◽  
Partial Least Square ◽  
Least Square ◽  
Mediating Effect ◽  
Competitive Intelligence ◽  
Social Media Marketing ◽  
Survey Method ◽  
Technological Support

Business environment in Malaysia has become more competitive due to the advancement of technology and globalisation including the small and medium enterprises (SMEs). SMEs have so long devised various marketing strategies in order to penetrate the online advertisement clutter alongside improving their performance. Past studies have shown that using ICT such as social media help to improve SMEs’ performance. The owner-managers themselves determine the adoption of social media in their marketing due to the process of information collection and analysis are highly relied on them. Most of the SMEs have their own websites but these are primarily used as an information tool only. Thus, this study investigated the mediating role of social media marketing adoption between technological support, organisational support, government support and competitive intelligence towards the performance of SME. The theoretical framework of this study is substantiated by Resource-based View (RBV) theory and supported by Technology, Environment and Organisation (TOE) framework. This study has been carried out in the East Coast region of Malaysia consisting of Kelantan, Terengganu and Pahang states and also employed a questionnaire survey method. From 1920 questionnaires distributed, 339 responses were returned and found usable for the final analysis using the structural equation model partial least square (SEM-PLS). The findings revealed that the adoption of social media marketing mediates the relationship between these technological, organisational, and government supports, the competitive intelligence, and SME performance. Finally, the study’s theoretical and practical implications as well as the limitations and directions for future research were provided and discussed.

scholarly journals User Acceptance of Internet of Vehicles Services: Empirical Findings of Partial Least Square Structural Equation Modeling (PLS-SEM) and Fuzzy Sets Qualitative Comparative Analysis (fsQCA)

2020 ◽  
Vol 2020 ◽  
pp. 1-22
Author(s):  
Yikai Liang ◽  
Guijie Zhang ◽  
Feng Xu ◽  
Weijie Wang
Keyword(s):  
Structural Equation Modeling ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Structural Equation ◽  
Trust Model ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Future Market ◽  
Initial Trust

Recently, IoV-based services and vehicles have come to the forefront as part of the growing market for the automobile industry. Since IoV-based services and vehicles were introduced, they have been expected to grow rapidly. However, contrary to optimistic expectations for future market growth, the IoV-based services and vehicles market has appeared to hit a roadblock and remains at an early market stage. Therefore, research of the determinants leading to consumers’ intention to accept and purchase IoV-based services and vehicles is significant for either academics or practitioners. Drawing upon the extended unified theory of acceptance and use of technology acceptance model (UTAUT2), the perceived risk theory, and the initial trust model, we developed an integrated conceptual model and explored what and how various determinant antecedent conditions fit together on consumer intention to accept IoV-based services and vehicles. The proposed model and hypotheses were assessed by both symmetric (partial least square structural equation modeling, PLS-SEM) and asymmetric (fsQCA) approaches using online survey datasets with 362 Chinese consumers. The findings suggest that PLS-SEM and fsQCA are complementary analytical techniques providing comparable results. PLS-SEM results indicate that performance expectancy, price value, habit, and initial trust have significant effects on behavioral intention to accept IoV services. Despite other determinants, e.g., effort expectancy, social influence, facilitating conditions, hedonic motivation, and perceived risk, have no significant effect. FsQCA results reveal twelve different configurations of determinants resulting in a high level of behavioral intention to accept IoV services, and eight causal paths equifinally leading to the negation of behavioral intention to accept IoV services. These findings suggest that several conditions that were not significant in PLS-SEM are sufficient conditions when combined with other conditions. This study enriches relevant research studies on IoV-based services acceptance and provides relevant insights and marketing suggestions for incentivizing consumers to accept the IoV-based services.

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