Information Credibility Evaluation in Presence of Users’ Safety in New Retailing

2021 ◽  
Author(s):  
Dong Wang ◽  
Kehong Wang ◽  
Lemei Yan ◽  
Zeyu Yue ◽  
Jiewen Zhang
Keyword(s):  
Technology Acceptance ◽  
Information Acquisition ◽  
Structural Equation ◽  
Information Quality ◽  
Positive Impact ◽  
Reliability And Validity ◽  
Equation Modeling ◽  
Self Identity ◽  
Factors Influencing ◽  
Information Credibility

Understanding users’ safety perception of the credibility of web-based information has become increasingly important in the context of new retailing. This study extends the existing literature by exploring the factors influencing information credibility in the context of new retailing. Based on the technology acceptance model and the rational behavior theory, a theoretical model for the assessment of information credibility in new retailing was developed. We analyzed the factors influencing users’ safety preference toward information communication procedures and information credibility in new retailing based on two aspects: perceived information quality and user judgment motivation. The reliability and validity of the model measure were analyzed, and structural equation modeling was used to test the model hypotheses. The following results were obtained: (1) Authenticity, accuracy, and practicability positively affected the perceived information quality of new retailing information; (2) User judgment motivation had a positive impact on information users’ safety preference and information credibility; (3) Users’ safety preference positively affected information credibility; (4) Information acquisition, social interaction, and self-identity positively affected the perceived credibility of new retailing information.

scholarly journals Factors Influencing the Acceptance of Pediatric Telemedicine Services in China: A Cross-Sectional Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Jingjin Shi ◽  
Xueming Yan ◽  
Miao Wang ◽  
Ping Lei ◽  
Guangjun Yu
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Care Delivery ◽  
Reliability And Validity ◽  
Survey Study ◽  
Equation Modeling ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Factors Influencing ◽  
Positive Direct

Background: Pediatrician workforce shortages have aroused great attention from health authorities in China. Telemedicine services have been known to enhance the management of children's health, yet the rate of adoption and usage in Chinese hospitals still at a quite low level, and the factors influencing the acceptance of telemedicine services remains unclear.Objective: The purpose of this empirical study was to evaluate the reliability and validity of a technology acceptance measurement instrument applied in healthcare, to investigate the perception of telemedicine services on the provider-side and demand-side, and to determine the factors that may drive individuals to adopt telemedicine services.Methods: A cross-sectional survey study based at Shanghai Children's Hospital, Shanghai Jiao Tong University, was conducted in March 2020. A total of 456 valid responses were obtained by convenience sampling. The internal consistency of items was assessed by Cronbach's alpha (α), composite reliability (CR) and average variance extracted (AVE) to evaluate both the reliability and validity of the questionnaire. Structural equation modeling analysis was used to test and verify the interrelationships among relevant variables.Results: Price value is the strongest predictor (β = 0.30, p = 0.02), facilitating conditions (β = 0.28, p = 0.01) and hedonic motivation (β = 0.13, p = 0.04) also have significantly positive direct effects on telemedicine acceptance. The results showed the perception of child patients' families were significantly more acceptable to telemedicine services than pediatricians (t = −2.99, p < 0.01). Participants with no prior experience and lower education may be more willing to adopt telemedicine.Conclusion: Telemedicine will likely continue to have an integral role in pediatric health care delivery, and the findings can assist policy makers and hospital administrators in determining the more valued characteristics of telemedicine services from a behavioral perspective. Future attention will be paid to the pricing, training and service quality of telemedicine in China.

scholarly journals A Structural Equation Model to Assess the Factors Influencing Employee’s Attitude & Intention to Adopt BYOD (Bring Your Own Device)

2019 ◽  
Vol 8 (3) ◽  
pp. 6303-6308
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Reliability And Validity ◽  
Equation Model ◽  
Bring Your Own Device ◽  
Equation Modeling ◽  
Employee Productivity ◽  
Intention To Adopt ◽  
Factors Influencing ◽  
Organizational Purpose

Bring Your Own Device (BYOD) is an emerging trend whereby employees are allowed to use their own mobile devices to access organizational data from anywhere and anytime. It helps increasing employee productivity and reducing capital cost for the organization. To formalize and implement BYOD policy, it is imperative to understand the employee’s attitude and intention since the success of this policy highly depends on their attitude and intention. Therefore, this study proposes an insight on the factors influencing employees’ attitude towards BYOD & their intentions to use their own devices for organizational purpose. A research model have been developed based on Technology Acceptance Model(TAM) which is tested for reliability and validity through Structured Equation Modeling using sample collected from 332 employees. The results of this study indicate that decision by employees to adopt BYOD is indeed a complex interplay of a number of variables and while some of them may affect attitude towards BYOD they may not have a positive effect on intention to adopt BYOD. The study also brings forward several implications which can be a valuable reference for practitioners and other researchers.

Examining the effectiveness of compensatory adaptation from a consumer's perspective in evaluating products online

2020 ◽  
Vol 35 (2) ◽  
pp. 61-81
Author(s):  
Jaejoo Lim ◽  
Jim R. Wollscheid ◽  
Ramakrishna Ayyagari
Keyword(s):  
Structural Equation ◽  
Information Quality ◽  
Positive Impact ◽  
Equation Modeling ◽  
Knowledge Gap ◽  
Content Type ◽  
Compensatory Adaptation ◽  
Practical Factors ◽  
Effective Transfer ◽  
Transfer Of Information

PurposeConsumers often encounter issues of perceived ambiguity and performance risk when attempting to evaluate experience goods being offered online. Sellers try to alleviate this knowledge gap often seen in a medium of low naturalness by engaging in effective compensatory adaptation. This research theoretically looks into three primary aspects of compensatory adaption and their potential in securing communication of high-quality information between the online seller and consumer.Design/methodology/approachUtilizing survey data and structural equation modeling, this study tests the effectiveness of different aspects of compensatory adaption to alleviate the knowledge gap in a medium of low naturalness.FindingsDrawing on media naturalness theory and the tripartite model of attitude, this paper identifies three theoretical components that significantly affect the effectiveness of compensatory adaption. They are information retrieval capability from the cognitive/logical aspect, information richness from the affective/audiovisual aspect and interactivity from the behavioral aspect. The effectiveness of compensatory adaptation proves to have a positive impact on perceived information quality.Originality/valueTo the best of our knowledge, this is the first paper in the information systems literature to examine the compensatory adaptation tools for effective transfer of information. This study contributes to the academics by providing three handles to improve effectiveness of compensatory adaptation toward information quality. We focus on three compensatory adaptation tools in cognitive/logical, affective/audiovisual and behavioral aspects, and this compensation perspective leads to three practical factors that affect effective transfer of information between online sellers and consumers. The result of this study complements the nomological network of the enablers and impediments of e-commerce.

scholarly journals Empirical Study on the Evaluation Model of Public Satisfaction With Local Government Budget Transparency: A Case From China

SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402092406 ◽  
Author(s):  
Qiuxian Hu ◽  
Leibao Zhang ◽  
Wenyu Zhang ◽  
Shuai Zhang
Keyword(s):  
Local Government ◽  
Information Acquisition ◽  
Structural Equation ◽  
Online Survey ◽  
Information Quality ◽  
Perceived Quality ◽  
Equation Modeling ◽  
Government Budget ◽  
The Government ◽  
Local Government Budget

For policymakers across the world, the importance of budget transparency is self-evident. However, most scholars mainly focus on the economic performance of budget transparency while ignoring satisfaction of the public as the recipients of this policy. Therefore, this study examines the main factors of public satisfaction with the local government budget transparency based on the theory of customer satisfaction in the context of the Chinese budget transparency policy. Data for this study were collected through an online survey involving 235 participants. Structural equation modeling (SEM) was employed to examine the proposed model. The results indicate that the budget information quality, budget information acquisition method, and public engagement are good indicators of budget transparency perceived quality, which are positively related to public satisfaction. The government image also exerts a positive effect toward public satisfaction. Furthermore, public satisfaction is also positively related to public trust toward the local government, even though the hypotheses linking public expectation to public satisfaction, and to budget transparency perceived quality are statistically insignificant. The implications of promoting budget transparency and suggestions for future work are also included in this study.

scholarly journals Factors Influencing Intention to Use Web 2.0 in Indonesian Vocational High Schools

2020 ◽  
Vol 15 (05) ◽  
pp. 100
Author(s):  
Lantip Diat Prasojo ◽  
Akhmad Habibi ◽  
Amirul Mukminin ◽  
Sofyan Sofyan ◽  
Boy Indrayana ◽  
...  
Keyword(s):  
High Schools ◽  
Web 2.0 ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Teaching And Learning ◽  
Equation Modeling ◽  
Intention To Use ◽  
Factors Influencing ◽  
Significant Difference ◽  
Vocational High Schools

e-learning based on Web 2.0 applications is widely available for education to support teaching and learning efficiency and effectiveness. The objective of this research is to examine factors influencing teachers’ intention to use of Web 2.0 into teaching in Indonesian Vocational High Schools (VHSs) using Technology Acceptance Model (TAM) and Technological Pedagogical Content Knowledge (TPACK) frameworks. Based on these two frameworks, we developed a survey instrument and validated it through face and content validity. For the data analysis, we applied exploratory factorial analyses (EFA). To assess the model, a covariance-based structural equation modeling (CB-SEM) was used. The study involved 640 respondents who completed 35 online instrument items of seven validated variables. Results informed that there was a significant difference based on gender regarding intention to use Web 2.0; however, no significant differences were informed based on age and teaching subject. Besides, the findings also informed that TPACK, subjective norm, and facilitating condition significantly influenced intention to use Web 2.0.

scholarly journals Factors Influencing Pre-service Teachers’ Satisfaction and Intention to Use the Internet: A Structural Equation Modeling

2021 ◽  
Vol 15 (02) ◽  
pp. 110
Author(s):  
Ali Sadikin ◽  
Akhmad Habibi ◽  
Erick Sanjaya ◽  
Dwi Candra Setiawan ◽  
Try Susanti ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
The Internet ◽  
Intention To Use ◽  
Factors Influencing

<p>In the age of digital era where the Internet is playing an important and dominant role, the concern of the higher education to ensure that the Internet within the reach of the students is very important. However, little research has been reported to indicate the success of the concern in Indonesia. Therefore, This study was conducted to assess factors influencing Indonesian PSTs’ satisfaction (ST) and intention to use (IU) the Internet for learning through technology acceptance model (TAM). Data was gathered from a total of 596 pre-service teachers (PSTs) from five universities in Indonesia. The measurement and assessment of the model were developed through a partial least square structural equation modeling (PLS-SEM). The results informed that Indonesian PSTs’ ST was strongly influenced by perceived ease of use (PEU) and IU. Besides, PSTs’ IU was predicted by Attitude (AT), PU and PEU.<em> </em></p>

scholarly journals How Can Apple Farmers Be Encouraged to Apply Information Technology? The Moderating Effect of Knowledge Sharing

2021 ◽  
Vol 13 (18) ◽  
pp. 10228
Author(s):  
Xue Chen ◽  
Ye Jin ◽  
Shiping Mao
Keyword(s):  
Information Technology ◽  
Knowledge Sharing ◽  
Structural Equation ◽  
Explicit Knowledge ◽  
Positive Impact ◽  
Moderating Effect ◽  
Equation Modeling ◽  
Actual Behavior ◽  
Technology Application ◽  
Factors Influencing

Information technology has become an increasingly powerful driving force in modern agriculture. In particular, its application is important for the sustainable development of the apple industry. However, to promote technology application effectively, a better understanding of the behavioral intention of apple farmers towards such information technology is needed. This study uses micro data from 226 Chinese apple growers and applies the theory of planned behavior. The factors influencing apple farmers’ intention to choose information technology, along with factors influencing the transformation of that intention into actual behavior, are investigated through structural equation modeling. The results show that farmers’ information technology attitudes and perceived behavioral control have a significant positive impact on their intention to choose information technology, and that intention has a significant positive impact on behavioral response. Additionally, both tacit and explicit knowledge sharing have a positive moderating effect on transforming the intention to choose information technology into actual behavior, and the higher the degree of knowledge sharing, the stronger its moderating effect. The results imply that to achieve industry sustainability, the government needs to improve its guidance and incentives for agricultural technology, as well as support the development of a strong knowledge-sharing system specifically for agricultural information technology.

Identifying and Ranking Influencing Factors in Using RFID Technology in Tourism Industry via the Use of Structural Equation Modeling

2018 ◽  
Vol 10 (4) ◽  
pp. 1-20
Author(s):  
Mahdie Honarzade ◽  
Mahboubeh Mahmoudinia ◽  
Maryam Saberi Anari
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
External Pressure ◽  
Tourism Industry ◽  
Ease Of Use ◽  
Equation Modeling ◽  
Management Support ◽  
Rfid Technology ◽  
Economic Dimension ◽  
Factors Influencing

RFID is one of the modern technologies that many industries have benefited from it, and there are many opportunities in the tourism industry to benefit from it. Although there are many potential opportunities, no survey has been done on factors influencing this technology acceptance in tourism industry. So despite the lack of theories, the present article is aimed to evaluate factors influencing RFID acceptance in tourism businesses, focusing on the population of executive operating in Yazd tourism sector and using Davis technology Acceptance model (TAM) as well as Tornatzkey and Flisher's technology – organization – environment model (TOE) and using equation modeling techniques. Then, using hierarchical analysis approach, this article specifies the priority of identified factors influencing decision making of this technology acceptance. According to the results, senior management support and technical knowledge from organizational dimensions, compatibility, usefulness, ease of use, security risks and lack of standards from technological dimension, external pressure from environmental dimensions and costs from an economic dimension are factors influencing RFID technology acceptance in tourism industry. Economical dimension, among the others, is the most important, and after that organizational, environmental and technological dimension respecting an important.

Opposition to Paraxylene Plant Development In China: Information, Emotion, Trust, and Risk

2018 ◽  
Vol 46 (11) ◽  
pp. 1815-1832
Author(s):  
Ming Xue ◽  
Huizhang Shen ◽  
Jidi Zhao
Keyword(s):  
Perceived Risk ◽  
Information Disclosure ◽  
Structural Equation ◽  
Information Quality ◽  
Group Identity ◽  
Negative Emotions ◽  
Equation Modeling ◽  
Trust In Government ◽  
Self Identity ◽  
The Government

In China people have recently taken part in protests against building of paraxylene (PX) plants. Therefore, we investigated factors associated with residents' opposition to building of PX plants in their neighborhood, district, or city. Survey data were collected from 222 people, and structural equation modeling was performed to verify relationships between residents' oppositional intentions and the factors of self-identity, group identity, trust in government, and perceived risk. Results showed perceived risk and self-identity were significant predictors of oppositional intentions, whereas group identity had no significant effect on oppositional intentions. Trust in government had an indirect effect on oppositional intentions through perceived risk. Negative emotions significantly influenced trust in government and perceived risk, and through them indirectly affected oppositional intentions; perceived information quality indirectly affected oppositional intentions through perceived risk and trust in government. The findings illuminated that promoting public trust in the government by enhancing information disclosure and alleviating negative emotions are effective ways to decrease risk perception and opposition to PX plants.

scholarly journals Factors Affecting the Adoption of Blockchain Technology in the Complex Industrial Systems: Data Modeling

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yu Chengyue ◽  
M. Prabhu ◽  
Mahendar Goli ◽  
Anoop Kumar Sahu
Keyword(s):  
Technology Acceptance ◽  
Survey Data ◽  
Structural Equation ◽  
Positive Impact ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Theoretical Research ◽  
Equation Modeling ◽  
Industrial Systems ◽  
Blockchain Technology

Nowadays, Blockchain Technology (BCT) is contributing toward addressing the challenges of complex industrial systems (CISs). The BCT reduces the complexity of cash data storage as well as retrieval system of finance, marketing, supply chain, inventory, and other departments. The objective of the present study is to investigate the factors, which affect the intention of professionals to adapt the BCT in the CISs by using an extension of the technology acceptance model. To fulfill the research objective, a theoretical research model is constituted by multiple hypotheses (H1–H6), i.e., perceived usefulness, perceived ease of use, perceived innovativeness, knowledge, risk, and trust after conducting the relevant literature survey in the context of BCT. Next, each hypothesis is tested by exploring the survey data of a sample of 287 professionals of different BCT user’s companies such as retailing, e-commerce, manufacturing, and construction. Survey data is analyzed by executing the structural equation modeling with AMOS software. The factors and latent constructs loadings, reliability, convergent, discriminant, model fit-measurement, structural model, and the path analysis are conducted. The results reveal that the H1, H2, and H4–H6 dropped the positive impact and effect on professionals’ intention to use the BCT in CISs. But, H3 has no effect for enhancing the intention of professionals to use BCT.

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