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.

Mobile Business Effects on Employees' Social Life

2021 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
Husam Alfahl
Keyword(s):  
Social Life ◽  
Structural Equation ◽  
Equation Modeling ◽  
Work Family Conflict ◽  
Negative Effects ◽  
Mobile Business ◽  
Business Services ◽  
Work Related ◽  
The Social ◽  
The Impact

The use of mobile devices and smartphones is increasingly becoming a critical part of many people’s lifestyle. Such usage can vary from playing games to accomplishing work-related tasks. Being able to use organizations’ persuasive technologies via mobile business services or to achieve work-related tasks ubiquitously at any time means that such devices provide a valuable service, especially for employees who are working online. This paper explores the impact of mBusiness on the social life of employees. In the research, structural equation modeling was applied to validate the research model. Employees in Saudi organizations were surveyed to test the research hypotheses. The research results confirmed that there are some negative effects of using mBusiness technologies on the social life of employees. Based on the analysis, the findings revealed that addiction to mBusiness technologies significantly increases the perceived work overload, which also significantly increases work-family conflict. The paper concludes with some implications of this research.

scholarly journals Women’s self-care behavior and its relationship with social capital in Yazd, Iran

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hamideh Shiri-Mohammadabad ◽  
Seyed Alireza Afshani
Keyword(s):  
Social Capital ◽  
Structural Equation ◽  
Self Care ◽  
Equation Modeling ◽  
Fit Indices ◽  
Factors Affecting ◽  
Positive Effects ◽  
The Social ◽  
The City ◽  
Care Behavior

Abstract Background Research on factors affecting self-care is scarce. The social factors, in particular, have not been yet investigated in Iran. Therefore, the present study aimed to investigate the relationship between self-care and social capital among women. Methods The participants were 737 women who were living in the marginal, middle and upper areas in the city of Yazd, Iran. Data were collected using a researcher-made self-care questionnaire and Harper’s (Off Natl Stat 11:2019, 2019) Social Capital Scale. The data were analyzed using structural equation modeling by SPSS and Amos v24. Results The results showed that the social capital had significant positive effects on the general self-care behavior of the participants (β = 0.56, p < 0.001). It also had significant positive effects on the self-care behavior of women living in the marginal (β = 0.58), middle (β = 0.49) and upper (β = 0.62) parts of the city (p < 0.001). Besides, the women living in the marginal parts had relatively lower levels of self-care compared to those living in the middle and upper parts of the city. The examination of the fit indices indicated that the model has a good fit (CMIN/DF = 2.087, NFI = 0.921, RMSEA = 0.027, CFI = 0.956, TLI = 0.940, GFI = 0.956, IFI = 0.957). Conclusion The findings of this study demonstrated that social capital has significant positive effects on the general self-care behavior of women. Therefore, improving their self-care can be achieved through promoting their social capital.

scholarly journals THE IMPACT OF ECONOMIC EXPECTATION, SOCIAL CAPITAL AND HOPE ON MIGRATION REQUEST AND ACTION

2021 ◽  
pp. 47-58
Author(s):  
Şerafettin KELEŞ
Keyword(s):  
Social Capital ◽  
Structural Equation ◽  
Empirical Method ◽  
Economic Thought ◽  
Equation Modeling ◽  
Migration Decision ◽  
Factors Affecting ◽  
The Social ◽  
Negative Effect ◽  
The Impact

In this study, the factors affecting the request and action of migration are examined with empirical method within the scope of neoclassical economic theories and behavioral economic thought. A survey of a selected sample was analyzed with structural equation modeling. There was a linear relationship between migration and economic expectation, social capital and hope. It was found that the Economic Expectation Variable had a very strong negative effect on individuals' decision to immigrate and desire to migrate (γ = -0.99; t = -17.87). Hope variable has a very strong negative effect on individuals' migration decision and desire to migrate (γ = -0.96; t = -13.66). The Social Capital Secret Variable has a negatively moderate effect on individuals' decision to immigrate and desire to migrate (γ = -0.48; t = -8.19). It was seen that economic and political conjuncture was effective in the decision of migration of individuals.

scholarly journals FinTech in COVID-19 and Beyond: What Factors Are Affecting Customers’ Choice of FinTech Applications?

2020 ◽  
Vol 6 (4) ◽  
pp. 153 ◽  
Author(s):  
Mohammad K. Al nawayseh
Keyword(s):  
Financial Services ◽  
Structural Equation ◽  
Service Providers ◽  
Equation Modeling ◽  
Intention To Use ◽  
Factors Affecting ◽  
Modeling Techniques ◽  
Customer Trust ◽  
The Relationship

Accessing financial services is considered one of the main challenges facing communities during crises. This research studies the role of using FinTech applications to build resilience during the COVID-19 pandemic. The research empirically examines the factors affecting Jordanian citizens’ intention to use FinTech applications. The sample of the research comprised 500 potential FinTech service users in Jordan. Based on the research conceptual model, five hypotheses were developed and tested using structural equation modeling techniques (SEM-PLS). The research results indicate that perceived benefits and social norms significantly affect the intention to use FinTech applications. However, it has been found that perceived technology risks do not significantly affect the intention to use FinTech applications. Moreover, the results also indicate that customer trust is significantly mediating the relationship between perceived risks and intention to use FinTech applications. FinTech service providers should insure that their products are easy to use, fulfill needs and protect consumers’ data in order to ensure trust, hence positively influencing consumer adoption.

scholarly journals Factors affecting the acceptance of blended learning in medical education: application of UTAUT2 model

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Seyyed Mohsen Azizi ◽  
Nasrin Roozbahani ◽  
Alireza Khatony
Keyword(s):  
Medical Education ◽  
Blended Learning ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Validity And Reliability ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Behavioral Intention To Use

Abstract Background Blended learning is a new approach to improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. Therefore, the purpose of this study was to investigate and determine the factors that might affect students’ intention to use blended learning. Methods In this cross-sectional, correlational study, the sample consisted of 225 Iranian medical sciences students. The theoretical framework for designing the conceptual model was the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Venkatesh et al. (2012) proposed UTAUT2 as a framework to explain a person’s behavior while using technology. Data were analyzed using SPSS-18 and AMOS-23 software. Structural equation modeling technique was used to test the hypotheses. Results The validity and reliability of the model constructs were acceptable. Performance Expectance (PE), Effort Expectance (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV) and Habit (HT) had a significant effect on the students’ behavioral intention to use blended learning. Additionally, behavioral intention to use blended learning had a significant effect on the students’ actual use of blended learning (β = 0.645, P ≤ 0.01). Conclusion The study revealed that the proposed framework based on the UTAUT2 had good potential to identify the factors influencing the students’ behavioral intention to use blended learning. Universities can use the results of this study to design and implement successful blended learning courses in medical education.

An Exploration of Pre-Service Teachers' Intention to Use Mobile Devices for Teaching

2015 ◽  
Vol 7 (3) ◽  
pp. 1-17 ◽  
Author(s):  
Jung Won Hur ◽  
Ying W. Shen ◽  
Ugur Kale ◽  
Theresa A. Cullen
Keyword(s):  
Mobile Devices ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
The Us

Teachers in the US have been increasingly adopting mobile devices for teaching, but little research has examined how pre-service teachers perceive mobile device integration in classrooms. To address this issue, the study developed a research model that explained factors affecting pre-service teachers' intention to use mobile devices and the relationship among the factors. A total of 386 pre-service teachers participated in an online survey, and the model was tested using structural equation modeling. The results showed that 72.5% of variances in pre-service teachers' intention to use mobile devices were explained by perceived usefulness and self-efficacy for technology integration jointly, where perceived usefulness was the strongest predictor. The findings also demonstrated that constructivist beliefs and perceived ease of use indirectly influenced pre-service teachers' intention to use mobile devices for teaching.

scholarly journals Factors Affecting Sustainable Intention to Use Mobile Banking Services

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110299
Author(s):  
Phaninee Naruetharadhol ◽  
Chavis Ketkaew ◽  
Niracha Hongkanchanapong ◽  
Piranat Thaniswannasri ◽  
Techin Uengkusolmongkol ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Mobile Banking ◽  
Banking Services ◽  
Factors Affecting ◽  
Self Service ◽  
Acceptance Model ◽  
Self Service Technology

This study aims to (a) identify perception factors that affect current mobile banking (M-banking) consumers’ continuous use of the technology, (b) explain the self-service technology (STT) dimensions that affect customers’ behavioral intention, and (c) be able to offer recommendations to the banking industry or other organizations related to M-banking in terms of developing M-banking services in the future. Analyzed data were collected from 688 existing Thai M-banking users through online questionnaires. This study used the SPSS and AMOS statistical programs to analyze the data by applying structural equation modeling based on SSTs’ service qualities and the technology acceptance model (TAM). From the results, this analysis shows positive and significant relationships among SSTs’ service qualities, perception, and sustainable intention to use M-banking services. This study provides vital knowledge related to essential characteristics of M-banking as an STT that could assist banking institutions and application providers in enhancing their M-banking products. Moreover, this study adds to the knowledge area of SSTs’ service qualities in financial mobile application dimensions.

scholarly journals FACTORS AFFECTING TEACHERS’ TECHNOLOGICAL PEDAGOGICAL AND CONTENT KNOWLEDGE (A SURVEY ON ECONOMICS TEACHER KNOWLEDGE)

2021 ◽  
Vol 40 (1) ◽  
pp. 1-16
Author(s):  
Janah Sojanah ◽  
Suwatno Suwatno ◽  
Kodri Kodri ◽  
Amir Machmud
Keyword(s):  
Content Knowledge ◽  
Self Efficacy ◽  
Structural Equation ◽  
Descriptive Analysis ◽  
Teaching Experience ◽  
Sampling Technique ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Instrument Validity ◽  
Positive Effects

This study was conducted due to the lack of teachers’ Technological Pedagogical and Content Knowledge (TPACK). It examined the effects of teaching experience, training, facilities and infrastructure, self-efficacy, as well as motivation on teachers’ TPACK. The descriptive and explanatory methods with quantitative approaches were employed. The population of this study included 472 economics teachers in the Greater Bandung area, while the respondents were 217 economics teachers selected using the proportional probability sampling technique. The instrument used to collect the data was tried out to forty economics teachers. The instrument validity was measured using the CVR formula, and the instrument reliability was tested using construct reliability. The data were collected by means of questionnaires and then analyzed using descriptive analysis and Structural Equation Modeling (SEM). The results show that the teachers’ experience, training, facilities and infrastructure, self-efficacy, as well as motivation are at a low level. Likewise, the teachers’ TPACK seems to be low. Moreover, it is found that teaching experience, training, facilities and infrastructure, self-efficacy, as well as motivation have positive effects on teachers’ TPACK.

scholarly journals ANALYSIS OF POVERTY IN FOREST SURROUNDING COMMUNITIES BY SUSTAINABLE LIVELIHOOD APPROACH

2018 ◽  
Vol 20 (1) ◽  
pp. 1
Author(s):  
Rita Parmawati ◽  
Soemarno Soemarno ◽  
Maryunani Maryunani ◽  
Agung Sih Kurnianto
Keyword(s):  
Family Member ◽  
Structural Equation ◽  
Descriptive Analysis ◽  
Equation Modeling ◽  
P Value ◽  
Sustainable Livelihood ◽  
Factors Affecting ◽  
Standardize Coefficient ◽  
Rapid Appraisal ◽  
Sustainable Livelihood Approach

Poverty in forests surrounding communities shows a contrast between wealth of forest resources and poverty. The poverty of forests surrounding communities is seen as inefficient development to rural needs in general and forest management in particular. This study aims to analyze the factors affecting poverty, the relevance and Sustainable Livelihood Approach in poverty. This research was conducted in Argosari Village, Jabung Subdistrict and Mentaraman Village, Donomulyo District, Malang Regency. Sustainable livelihood approach is applied which adapted on five elements: human, natural, physical, social and financial asset. The sample was determined by proportional random sampling method. Participatory Rapid Appraisal (PRA) were used in this study. Quantitative approach in this study using descriptive analysis and Structural Equation Modeling (SEM). Poverti Gap 2 indicator (the number of family member) has the greatest contribution to Argosari poverty. The High Consumption 3 indicator (the number of new clothing in a year that can be bought) has the smallest contribution. Significantly, eight indicators have established in Mentaraman, which is indicated by a p-value less than 5% (0.05). Based on the size of the standardize coefficient, it is found that the Poverti Gap 2 indicator (the number of family member) has the greatest contribution to Mentaraman  poverty. Keywords : Argosari, Forest, Mentaraman, Poverty, SLA 

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.

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