scholarly journals How Identification With the Social Environment and With the Government Guide the Use of the Official COVID-19 Contact Tracing App: Three Quantitative Survey Studies (Preprint)

2021 ◽  
Author(s):  
Annika Scholl ◽  
Kai Sassenberg
Keyword(s):  
Social Environment ◽  
Social Relationships ◽  
Structural Equation ◽  
Social Groups ◽  
Contact Tracing ◽  
Equation Modeling ◽  
Intention To Use ◽  
Personal Benefit ◽  
The Social ◽  
The Government

BACKGROUND Official contact tracing apps have been implemented and recommended for use across nations to track and contain the spread of COVID-19. Such apps can be effective if people are <i>willing</i> to use them. Accordingly, many attempts are being made to motivate citizens to make use of the officially recommended apps. OBJECTIVE The aim of this research was to contribute to an understanding of the preconditions under which people are willing to use a COVID-19 contact tracing app (ie, their use intentions and use). To go beyond personal motives in favor of app use, it is important to take people’s social relationships into account, under the hypothesis that the more people identify with the <i>beneficiaries</i> of app use (ie, people living close by in their social environment) and with the <i>source</i> recommending the app (ie, members of the government), the more likely they will be to accept the officially recommended contact tracing app. METHODS Before, right after, and 5 months after the official contact tracing app was launched in Germany, a total of 1044 people participated in three separate surveys. Structural equation modeling was used to test the hypotheses, examining the same model in all studies at these critical points in time. RESULTS Across the three surveys, both identification with the beneficiaries (people living in their social environment) and with the source recommending the app (members of the government) predicted greater intention to use and use (installation) of the official contact tracing app. Trust in the source (members of the government) served as a mediator. Other types of identification (with people in Germany or people around the world) did not explain the observed results. The findings were highly consistent across the three surveys. CONCLUSIONS Attempts to motivate people to use new health technology (or potentially new measures more generally) not only for their personal benefit but also for collective benefits should take the social context into account (ie, the social groups people belong to and identify with). The more important the beneficiaries and the sources of such measures are to people’s sense of the self, the more willing they will likely be to adhere to and support such measures.

scholarly journals Enhancing Smart System Platforms; Factors Affecting People's Intentions toward Smart Homes in Jordan

2022 ◽  
Vol 18 (1) ◽  
pp. 0-0
Keyword(s):  
Social Life ◽  
Structural Equation ◽  
Best Practice ◽  
Descriptive Analysis ◽  
Modern Society ◽  
Equation Modeling ◽  
Intention To Use ◽  
Factors Affecting ◽  
Smart Systems ◽  
The Social

Smart systems are going to transform the social life of modern society. Notwithstanding the benefits of these systems, its use is still low in developing world including Jordan. This study aims to construct a novel model to identify the factors that affect people’s intention to use smart systems in their homes. A survey was conducted on 650 individuals among which 550 valid questionnaires were considered in Jordan. The collected data were analyzed for descriptive analysis and further to valid the hypothesis using Structural Equation Modeling. The findings showed that there is a significant relationship between individuals’ attitudes related to PU and PEOU with their intention toward using smart systems in their lifestyle. It indicated that the research model explains 68.6% of the variance in the individual’s intention to use smart systems in their residence. Practically, it fruitful to the top management of IT companies that offers smart systems. Moreover, enhancing the current systems and organizing a strategic plan for implementation within best practice.

scholarly journals E-PROCUREMENT ADOPTION IN GOVERNMENT INSTITUTION: PREDICTING SOCIAL VALUES EFFECT ON INTENTION AND USAGE BEHAVIOR OF E-PROCUREMENT

2017 ◽  
Vol 16 (2) ◽  
Author(s):  
Hery Suliantoro ◽  
Imam Ghozali ◽  
Mochamad Agung Wibowo
Keyword(s):  
Structural Equation ◽  
Social Values ◽  
Social Benefits ◽  
Equation Modeling ◽  
Social Risk ◽  
Government Institutions ◽  
The Social ◽  
Study Results ◽  
Usage Behavior ◽  
The Government

The main purpose of this paper is to examine empirically the influence of social factorson the adoption of e-Procurement in government institutions. The research design used isa survey research. The theoretical model is empirically tested with data collected from 130work units involving 185 respondents from across the local government institutions in CentralJava, Indonesia. Structural equation modeling was used to analyze the data. The results showthe influence of social values on the adoption of e-Procurement in government institutions.The study results sugest that volunteering based solidarity affects on usage behavior ofe-Procurement. This attitude is influenced by the social expectations of the individual againstthe social benefits of e-Procurement. Other findings, individuals who have a moderateattitude (compromise and permissive) are likely to have a low intention of the e-Procurement.This paper offers a model of development for the government adoption of e-Procurement ingovernment institutions through a participatory approach. Implementation of e-Procurementrequires the solidarity movement of individuals who voluntarily diffusing technology. Thispaper is a study on the adoption of e-Procurement in the public sector that involves socialfactors as the main determinants of technology in performing of adoption behavior. Thestudy's findings provide insight into the importance of the social benefits and social risk ininfluencing the adoption of e-Procurement.Keywords: E-Procurement; Volunteering; Solidarity; Social Risk; Social Expectancy.

scholarly journals The Determinant Factors in Using E-Samsat Services on Motorized Vehicle Tax Payment in East Java, Indonesia

2021 ◽  
Vol 12 (1) ◽  
pp. 53-61
Author(s):  
Rita Ambarwati ◽  
Mudji Astuti ◽  
Rohman Dijaya ◽  
Retna Fetty Idamayanti
Keyword(s):  
Data Analysis ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Intention To Use ◽  
Determinant Factors ◽  
The Government ◽  
Almost All

E-Samsat offers the service regarding motorized vehicle tax payment online. Still, in its implementation, it does not have many users. It is due to the community's lack of awareness and the advantages that it can offer. The research aimed to analyze the determinant factors in using the e-Samsat service in East Java. The effects of each variable (trust, awareness, ease of use, and intention to use) on each other were examined. The research was conducted at Samsat joint office in Surabaya because it was the area with the largest motorized vehicle in East Java. The research applied a quantitative approach. There were 200 respondents who were users of the service. They were selected using the cross-section technique through questionnaires. Then, data analysis used the Partial Least Square Structural Equation Modeling (PLS-SEM) approach. Data analysis results indicate that almost all hypotheses are acceptable and have a significant effect on each other. However, trust does not have a significant effect on the intention to use. The analysis of these factors can be recommended to increase the acceptance of e-Samsat services in East Java. The research can help the government to make decisions related to e-government, create technological innovations that facilitate payments, and improve e-Samsat services quality.

scholarly journals Faktor Yang Mempengaruhi Keinginan Investasi Investor Muda di Pasar Modal Indonesia

2020 ◽  
Vol 30 (5) ◽  
pp. 1084
Author(s):  
Riyadi Aprayuda ◽  
Fauzan Misra
Keyword(s):  
Social Environment ◽  
Capital Market ◽  
Structural Equation ◽  
Primary Data ◽  
Equation Modeling ◽  
The Social ◽  
Social Environmental ◽  
The Individual ◽  
The Impact ◽  
The Capital Market

This study aims to examine the influence of attitudes, the impact of the social environment, and investment knowledge on the desire to invest in the capital market by young investors. Specifically, this study refers to the predictors of Theory of Planned Behavior (Ajzen, 1991) to establish factors that influence investment desires. This study uses primary data from a closed questionnaire, with 166 valid responses through online surveys from investors in several university investment galleries in Indonesia. Data were analyzed using Structural Equation Modeling (SEM). The results showed that the attitude of investors and investment knowledge influence the desire to invest. However, the impact of the social environment did not succeed in triggering the investment desire of young investors. These finding underscores the influence of the social environment only being a support, meanwhile, the internal factors of the individual are the main ones making young investors want to invest. As a practical contribution, these finding suggest a positive attitude and increase investment-related knowledge can be applied as a strategy to attract new investors in the capital market. Keywords: Investment Intention; Investor's Attitude; Social Environmental Impacts; Investment knowledge; Young Investor.

scholarly journals Measurement Indicators of Age-Friendly Communities: Findings From the AARP Age-Friendly Community Survey

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 51-51
Author(s):  
Kyeongmo Kim ◽  
Tommy Buckley ◽  
Denise Burnette ◽  
Sunghwan Cho
Keyword(s):  
Older Adults ◽  
Built Environment ◽  
Public Space ◽  
Social Environment ◽  
Factor Structure ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
The Social ◽  
Three Factor

Abstract Cities and counties worldwide have adopted the concept of “age-friendly communities” to promote the well-being of older adults. An age-friendly community is a place that provides a safe and affordable built environment and a social environment that encourages older adults’ participation. A major limitation in this field is the lack of valid and reliable measures of age-friendly communities. This study used data from the AARP 2016 Age-Friendly Community Surveys (N=3,652 adults ages 65 and older). This study included 57 indicators of age-friendliness (e.g., housing, transportation, public space, civic engagement, volunteering, community, and health services); socio-demographic characteristics; and health-related characteristics. We randomly split the sample into two subsamples for confirmatory factor analysis (CFA) (n=1,682) and structural equation modeling (SEM) (n=1,682). The CFA resulted in a three-factor structure to measure age-friendly communities: built environment, transportation, and social environment. Model fit indices were acceptable (χ²(44)=14204.09; p&lt;.001; RMSEA=.067; CFI=.912; TLI=.909; SRMR=.05). Internal reliability of the three-factor structure was excellent ranging from .93 to .96. The SEM model showed that older adults living in a community with a greater built environment (β=.119; p=.001) and the social environment (β=.199; p&lt;.001) had higher levels of physical health, after adjusting for all other variables. The findings highlight that the measures of age-friendly communities are reliable and valid. Practitioners and policymakers should work on improving both the built and the social environment to promote the well-being of older adults. The findings also suggested that researchers can use the measures as an evaluation tool for an age-friendly community initiative.

Being Drunk to Have Fun or to Forget Problems?

2010 ◽  
Vol 26 (1) ◽  
pp. 46-54 ◽  
Author(s):  
Emmanuel Kuntsche ◽  
Ronald Knibbe ◽  
Rutger Engels ◽  
Gerhard Gmel
Keyword(s):  
Social Relationships ◽  
Convergent Validity ◽  
Structural Equation ◽  
Risk Groups ◽  
Drinking Motives ◽  
Equation Modeling ◽  
Cluster Analyses ◽  
High Concordance ◽  
Nationally Representative ◽  
Risky Single Occasion Drinking

Prevention programs in adolescence are particularly effective if they target homogeneous risk groups of adolescents who share a combination of particular needs and problems. The present work aims to identify and classify risky single-occasion drinking (RSOD) adolescents according to their motivation to engage in drinking. An easy-to-use coding procedure was developed. It was validated by means of cluster analyses and structural equation modeling based on two randomly selected subsamples of a nationally representative sample of 2,449 12- to 18-year-old RSOD students in Switzerland. Results revealed that the coding procedure classified RSOD adolescents as either enhancement drinkers or coping drinkers. The high concordance (Sample A: κ = .88, Sample B: κ = .90) with the results of the cluster analyses demonstrated the convergent validity of the coding classification. The fact that enhancement drinkers in both subsamples were found to go out more frequently in the evenings and to have more satisfactory social relationships, as well as a higher proportion of drinking peers and a lower likelihood to drink at home than coping drinkers demonstrates the concurrent validity of the classification. To conclude, the coding procedure appears to be a valid, reliable, and easy-to-use tool that can help better adapt prevention activities to adolescent risky drinking motives.

Pelaksanaan Peraturan Pemerintah No. 9 Tahun 1975 dalam Perspektif Sosiologi dan Antropologi Hukum Islam

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Muchimah MH
Keyword(s):  
Social Environment ◽  
Government Regulation ◽  
Islamic Law ◽  
Marriage Law ◽  
Anthropological Perspective ◽  
Government Regulations ◽  
The Social ◽  
The Government

Government Regulation No. 9 of 1975 related to the implementation of marriage was made to support and maximize the implementation of Law No. 1 of 1974 which had not yet proceeded properly. This paper examines Government Regulations related to the implementation of marriage from the perspective of sociology and anthropology of Islamic law. Although the rules already exist, some people still carry out marriages without being registered. This is anthropologically the same as releasing the protection provided by the government to its people for the sake of a rule. In the sociology of Islamic law, protection is a benchmark for the assessment of society in the social environment. Therefore the purpose of this paper is to find out how the implementation of marriage according to PP. No. 9 of 1975 concerning the Marriage Law in the socio-anthropological perspective of Islamic Law.

Analyzing Factors Influencing Behavior Intention to Use Snapchat and Instagram Stories

2017 ◽  
Vol 4 (2) ◽  
pp. 75-81 ◽  
Author(s):  
Vincent Valiant Coa ◽  
Johan Setiawan
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Presence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Generation Z ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Snapchat, and Instagram are two social networks which recently gain their users after adopting such a feature called "Story" which allows a certain post to be disappeared after a certain time. This research takes up this technology trends analyzing the factors that probably affect the behavioral intention to use Snapchat and Instagram stories among generation Z. Factors are analyzed using Structural Equation Modeling, with basis model and variables from Technology Acceptance Model. Data collection was targeted to finished within 1 week using online questionnaire with respondent from Jakarta and Tangerang for 100 respondent that are using both Snapchat stories and Instagram Stories. There are two tools researcher usually use to analyze Structural Equation Modeling: SPSS AMOS and LISREL. In this research, researchers choose AMOS. From six hypothesis proposed for Snapchat analysis, four hypothesis is accepted, while the other two are rejected. Meanwhile, on Instagram Stories analysis, five hypothesis is accepted and one hypothesis is rejected. This study finds out the Social Presence is an exogenous variable which has a major role in affecting other variables. While Perceived Enjoyment influenced the behavioral intention to use Snapchat and Instagram Stories the most. Index Terms—Structural Equation Modeling, Technology Acceptance Model, influence, generation Z, Snapchat, Instagram REFERENCES [1] L. Chin and Z. Ahmad, "Perceived Enjoyment and Malaysian Consumers’ Intention to Use a Single Platform EPayment", SHS Web of Conferences, vol. 18, 2015. [2] M. Ariff, T. Shan, N. Zakuan, N. Ishak and M. Wahi, "Examining Users' E-Satisfaction in the Usage of Social Networking Sites; Contribution from Utilitarian and Hedonic Information Systems", IOP Conference Series: Materials Science and Engineering, vol. 58, 2014. [3] K. Hassanein and M. Head, "Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping", International Journal of HumanComputer Studies, vol. 65, no. 8, pp. 689-708, 2007. [4] P. Surendran, "Technology Acceptance Model: A Survey of Literature", 2012. [5] F. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, vol. 13, no. 3, p. 319, 1989

Developing the Assessment and Indicators for Local Institutions in Dealing with Forest Fire Dilemma

2020 ◽  
Vol 11 (1) ◽  
pp. 163-163
Author(s):  
Eko Priyo Purnomo ◽  
Agustiyara ◽  
Rijal Ramdani ◽  
Dina Wahyu Trisnawati
Keyword(s):  
Forest Management ◽  
Forest Fire ◽  
Structural Equation ◽  
Equation Modeling ◽  
Local Institutions ◽  
Microsoft Excel ◽  
Organization Capacity ◽  
The Government ◽  
Depth Interviews ◽  
Fire Incidence

This study analyzes the main criteria and indicators in strengthening local institutions in charge of forest management towards dealing with forest fire incidence in Riau Province, Indonesia. Data were collected using in-depth interviews, observation, and questionnaires and analyzed with Microsoft Excel spreadsheets and other Structural Equation Modeling (SEM) techniques such as SPSS and Smart PLS. Moreover, only 87 out of the 120 questionnaires administered to related stakeholders were retrieved. Four variables, including Organization, Capacity, Authority, and Governance, were measured using ten indicators for each. The results showed a significant correlation between local institutions and these variables in solving forest management issues. It means there is a need to strengthen the institutions' structural plans to ensure the effective management of natural resources, and this is achievable through the support and help of the government and communities. Keywords: forest fire, local institutions, forest management.

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