A Study on the Impact of Perceived Characteristics of Augmented Reality(AR) Services on User Satisfaction and Intention to Use

The authors examined the impact of perceived usability of websites of commercial service vendors on consumer’s affective, intentional, and behavioral variables. Reflective and formative usability measures were used within a nomological network of predictors (trust, reputation, and perceived fun), mediators (user satisfaction, and intention to use), decision to choose as the criteria, product involvement as a moderator, and controls. Results from structural equation modeling revealed that usability holds both direct and indirect paths, via trust and perceived fun, to user satisfaction. User satisfaction was positively related to the intention to use and partially mediated the relation between usability and intention to use. Furthermore, product involvement does not moderate the relation between usability and intention to use and the relation between user satisfaction and intention to use. Finally, intention to use provided an excellent prediction of the decision to choose. Limitations and suggestions for future research are discussed.

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Quality factors and performance outcome of cloud-based marketing system

Kybernetes ◽

10.1108/k-11-2020-0778 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Ying Liu ◽

Tang Wang

Keyword(s):

User Satisfaction ◽

Intention To Use ◽

Quality Factors ◽

Marketing System ◽

Content Type ◽

Performance Outcome ◽

Delone And Mclean ◽

Marketing Systems ◽

And Performance ◽

The Impact

Purpose This study aims to propose an integrated model based on the DeLone and McLean Information System Success Model (DMISS) to examine whether quality factors (system, service and information) can affect user satisfaction and performance of cloud-based marketing systems. Design/methodology/approach Recently, technologies change quickly, innovation becomes a vital base of productivity and sustainable growth of businesses is widely accepted. Cyber-physical system technologies help industries change production and marketing cycles according to customers’ needs in real-time. In addition, processing information through cloud service helps companies meet customer needs. The advantages of cloud technology also make it easier for companies to quickly collect the latest data from various sources, making it more effective in decision-making. This research recommends cloud-based marketing to help companies maximize their revenue by providing useful information and better quality for business development. The data were gathered from China automotive companies’ customers. A total of 220 questionnaires were distributed, and 165 (82.5%) usable questionnaires were analyzed using structural equation modeling. Findings This study verified that costumers’ perceived information quality, system quality and service quality positively caused the user satisfaction in the cloud-based marketing system. Practical implications This paper presents beneficial advice for improving cloud-based marketing systems. Besides, the topic is relevant to cloud-based marketing systems’ success. A better understanding of the impact of intention to use and user satisfaction on cloud-based marketing systems could significantly enhance companies’ success. This paper’s theoretical and practical contributions are expressed to guide organizations and policymakers in increasing cloud-based marketing systems acceptance. Originality/value This study empirically tests the relationship of quality factors and performance outcome of cloud-based marketing system through a model based on DeLone and McLean theory. This study bridges the research gap by identifying the factors that drive the adoption of cloud-based services in marketing and the impact of user satisfaction and intention to use on the cloud-based marketing system performance in the case of china companies.

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Effective Product Customization on the Web

Advances in Information Resources Management - Innovative Technologies for Information Resources Management ◽

10.4018/978-1-59904-570-2.ch005 ◽

2011 ◽

pp. 79-94

Author(s):

Pratyush Bharati ◽

Abhijit Chaudhury

Keyword(s):

User Satisfaction ◽

Structural Equation ◽

Information Quality ◽

Equation Modeling ◽

Intention To Use ◽

Decision Satisfaction ◽

Product Customization ◽

Delivery Options ◽

The Impact ◽

The Web

Product customization is an important facility that e-commerce offers to its users. On the Web, choiceboard systems have become quite prevalent as the means by which users are able to customize their products. These systems allow customers to configure products and services by choosing from a menu of attributes, components, delivery options, and prices. In the context of a choiceboard environment, this research examines the impact of system and information quality and information presentation on interface satisfaction and decision satisfaction. Further, it examines the impact of the latter two satisfaction factors on overall user satisfaction and intention to use. The research reveals that improved system quality, vis-à-vis choiceboards, leads to better information and decision satisfaction on the part of the users. This in turn leads to higher overall satisfaction and intention to use. The research uses an experiment for data collection and examines these relationships using the structural equation modeling (SEM) approach.

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Methodology for the Field Evaluation of the Impact of Augmented Reality Tools for Maintenance Workers in the Aeronautic Industry

Frontiers in Virtual Reality ◽

10.3389/frvir.2020.603189 ◽

2021 ◽

Vol 1 ◽

Author(s):

Quentin Loizeau ◽

Florence Danglade ◽

Fakhreddine Ababsa ◽

Frédéric Merienne

Keyword(s):

Augmented Reality ◽

User Satisfaction ◽

Contextual Information ◽

Evaluation Criteria ◽

Field Evaluation ◽

Technical Data ◽

Technology Products ◽

Aeronautical Industry ◽

Maintenance Activities ◽

The Impact

Augmented Reality (AR) enhances the comprehension of complex situations by making the handling of contextual information easier. Maintenance activities in aeronautics consist of complex tasks carried out on various high-technology products under severe constraints from the sector and work environment. AR tools appear to be a potential solution to improve interactions between workers and technical data to increase the productivity and the quality of aeronautical maintenance activities. However, assessments of the actual impact of AR on industrial processes are limited due to a lack of methods and tools to assist in the integration and evaluation of AR tools in the field. This paper presents a method for deploying AR tools adapted to maintenance workers and for selecting relevant evaluation criteria of the impact in an industrial context. This method is applied to design an AR tool for the maintenance workshop, to experiment on real use cases, and to observe the impact of AR on productivity and user satisfaction for all worker profiles. Further work aims to generalize the results to the whole maintenance process in the aeronautical industry. The use of the collected data should enable the prediction of the impact of AR for related maintenance activities.

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Effective Product Customization on the Web

Mass Customization for Personalized Communication Environments ◽

10.4018/978-1-60566-260-2.ch014 ◽

2010 ◽

pp. 244-258

Author(s):

Pratyush Bharati ◽

Abhijit Chaudhury

Keyword(s):

User Satisfaction ◽

Structural Equation ◽

Information Quality ◽

Equation Modeling ◽

Intention To Use ◽

Decision Satisfaction ◽

Product Customization ◽

Delivery Options ◽

The Impact ◽

The Web

Product customization is an important facility that e-commerce offers to its users. On the Web, choiceboard systems have become quite prevalent as the means by which users are able to customize their products. These systems allow customers to configure products and services by choosing from a menu of attributes, components, delivery options, and prices. In the context of a choiceboard environment, this research examines the impact of system and information quality and information presentation on interface satisfaction and decision satisfaction. Further, it examines the impact of the latter two satisfaction factors on overall user satisfaction and intention to use. The research reveals that improved system quality, vis-à-vis choiceboards, leads to better information and decision satisfaction on the part of the users. This in turn leads to higher overall satisfaction and intention to use. The research uses an experiment for data collection and examines these relationships using the structural equation modeling (SEM) approach.

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E-government adoption and user’s satisfaction: an empirical investigation

EuroMed Journal of Business ◽

10.1108/emjb-05-2014-0016 ◽

2016 ◽

Vol 11 (1) ◽

pp. 57-83 ◽

Cited By ~ 19

Author(s):

ALaa Aldin A AL Athmay ◽

Kamel Fantazy ◽

Vinod Kumar

Keyword(s):

User Satisfaction ◽

Information Quality ◽

Intention To Use ◽

Direct Effects ◽

System Quality ◽

Government Programs ◽

Content Type ◽

Government Services ◽

Intention To Adopt ◽

The Impact

Purpose – The purpose of this paper is to examine the relationships among e-government attributes in terms of social influence, perceived effectiveness, system quality, and information quality user satisfaction and intention to use e-government services in United Arab Emirates (UAE). Design/methodology/approach – This study is based on previous research on e-government services, and has relied partially on Delone and Mclean’s (2004) updated IS success model and the new theoretical and accepted model (UTAUT). These models were used to examine the impact of some selected attributes of e-government on the adoption of e-government services in the UAE from the perspective of a citizen. A questionnaire survey was used to collect data from a total of 1,800 e-government users in the UAE and structural equation modeling was utilized to test the theoretical model. Findings – This study has identified five main findings. First, it provides evidence of the direct effects of e-government attributes on user satisfaction. Second, it provides evidence of the direct effects of user satisfaction on user intention to use e-government services. Third, it provides evidence of the direct effects of e-government attributes on intention to use. Fourth, it demonstrates the positive total effects (direct and indirect) of e-government attributes on the intention to use e-government services in the UAE through user satisfaction. Fifth, two attributes of e-government – system quality and information quality – have emerged as having a strong effect on the intention to use e-government services. Research limitations/implications – The research study was limited to the UAE geographical region. It would be very interesting to see if there are regional variations when compared to the findings of this research study. The target respondents for this study are internet users. Future research needs to be extended to include both users and nonusers of the internet for the purpose of comparison, and looking at the perception of a technology divide among citizens as a factor influencing citizen intention to adopt e-government services. Practical implications – This study would help policy makers understand e-government users and to implement policies at large to meet the citzens ' needs of e-government services. The results of the study and the proposed model can be used as a guideline for e-government strategy formulation and implementation for the Government of UAE. The results of the study imply that decision makers of e-government programs should take into considerations these attributes when developing e-government programs because they affect users’ satisfaction and in turn enhances users’ intentions to use e-government services and consequently increase the success of e-government strategic programs. Originality/value – This paper is one of the few studies on e-government adoption in an Arab country and the first study on e-government adoption in the UAE. The paper’s originality and value comes from its theoretical contribution as a first paper in this region to empirically test the impact of some selected variables (social influence, perceived effectiveness, system quality, and information quality) on user satisfaction and intention to adopt e-government services. In contrast to previous research, this paper selected user satisfaction as a mediated, rather than a dependent variable.

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