Factors Influencing Consumer Satisfaction and Use Intention of B2C E-Commerce Platforms on Chengdu, China

Purpose: This paper aimed to explore the factors influencing the satisfaction and use intention of B2C e-commerce platforms among residents in Chengdu. Research design, data, and methodology: The researcher used a quantitative survey method to conduct the study. The conceptual framework was based on the Technology Acceptance Model (TAM). The key variables included service quality, information quality, system quality, perceived ease of use, perceived usefulness, use intention, and satisfaction. The validity of the research instrument was assessed by The index of item-objective congruence (IOC), and a pilot test by Cronbach alpha coefficient reliability test. A questionnaire survey was conducted among 500 permanent residents in Chengdu. Additionally, confirmatory factor analysis and structural equation modeling were used as statistical analysis tools to evaluate the data. Results: The analysis revealed that service quality, system quality, and perceived ease of use significantly impacted use intention and satisfaction. System quality and information quality significantly affected perceived usefulness. Satisfaction had a significant effect on the use intention. On the contrary, information quality and perceived usefulness had no significant impact on use intention. Conclusions: The government and companies should facilitate users to use the platform and thus create a good experience so that they would want to use the B2C e-commerce platform for shopping

Measuring Intention To Use And Satisfaction With Electronic District System: Validation Of A Combined Model Of IS Success

The purpose of this paper is to examine the intentions to use and satisfaction with electronic District system from the perspective of largely computer and Internet literate citizens from the state of Bihar in India. Measuring success of the system becomes significant also because this system was at the pilot-testing phase at the time of gathering data for it. The study used a combined IS success model to measure the success of this system. The proposed model contains constructs including information quality, system quality, perceived usefulness, intention to use, and user satisfaction. The empirical outcomes positive and significant relationships between all seven hypotheses formulated between five constructs. The empirical findings and discussion presented in this research might help the state government of Bihar to fully utilise the potential of the e-District system as an efficient tool to curb corruption and help government toward minimising it

The Assessment on Consumer Satisfaction and Use Intention of B2C E-Commerce Platform in Chongqing, China

Purpose: This paper assessed the factors affecting the satisfaction and use intention of Chongqing residents toward e-commerce platforms, including service quality, information quality, system quality, perception of ease of use, perception of usefulness, intention, and satisfaction. Research design, data, and methodology: A questionnaire survey was conducted on 500 resident residents in Chongqing. The sampling technique involved judgmental, stratified random and convenience sampling. The validity of the research instrument was assessed by The index of item-objective congruence (IOC), and a pilot test by Cronbach alpha coefficient reliability test. The researcher used confirmation factor analysis and the structural equation model as statistical analysis tools. Results: The system quality was the strongest predictive factor for satisfaction and the intention of using the e-commerce platform. The perceived ease of use and service quality also strongly impacted satisfaction and use intention. The perceived usefulness and information quality only had a strong impact on satisfaction. This case study did not show a significant impact of perceived usefulness and information quality on use intention. Conclusions: Providing high system quality to users made the system feel valuable and useful to them. Therefore, the recommendation is to ensure and promote the advantages or benefits of B2C e-commerce business platforms

Modeling the Factors Influencing the Adoption of a Map-Based Disaster Application in Indonesia: A Case of SIKK Magelang

Indonesia has high exposure to natural hazards, frequent disaster events, and a highly vulnerable population. Hence, risk communication and disaster information dissemination are crucial to reducing risks. Numerous disaster mobile applications (apps) with location-based services or maps already exist for facilitating risk communication to the public; however, availability does not automatically translate into use or adoption. Therefore, to understand the factors influencing the adoption of a map-based disaster app, the factors that affect the adoption of a local government-initiated map-based disaster app in Indonesia, namely Sistem Informasi Kebencanaan Kabupaten Magelang, or Disaster Information System of Magelang Regency (SIKK Magelang), were examined through the theoretical lenses of a combined information system (IS) success model. Partial Least Squared – Structural Equation Modelling (PLS-SEM), with the help of Smart-PLS, was used to examine the hypothesized relationships among the proposed constructs (latent variables). Nine exogenous latent variables were proposed as the antecedents of intention to use a map-based disaster application (the endogenous latent variable), including information quality, system quality, familiarity with online maps, perceived usefulness, user satisfaction, facilitating conditions, risk perceptions, information seeking behavior, and perceived quality of the Internet connection. Information-seeking behavior was also predicted to be influenced by risk perception. A questionnaire survey with an app trial was conducted in Magelang Regency for data collection. The study results confirmed the applicability of the combined IS success model frameworks in predicting the adoption of this map-based disaster app by the public. Although new constructs representing disaster-related online maps and familiarity with those maps were initially proposed in the contextual model, the model validation results showed that intention to use SIKK Magelang was significantly influenced only by perceived usefulness and user satisfaction. Practically, this study’s results offer guidance to the local emergency managers in Indonesia, especially Magelang Regency, regarding how to develop strategies to increase the app’s adoption

¿Participa la ciudadanía en el gobierno electrónico?: El caso de la ciudad de Bahía Blanca, Argentina

La literatura sobre gobierno electrónico se centró en explorar los servicios públicos desde el lado de la oferta. Sin embargo, la perspectiva del ciudadano no ha sido mayormente analizada. Este trabajo explora el nivel de adopción del gobierno electrónico desde la perspectiva del ciudadano. El objetivo del trabajo es determinar cuán involucrados están los ciudadanos de Bahía Blanca con el gobierno electrónico (mediante el sitio web municipal) así como explorar los factores subjetivos que influyen en su adopción. Para ello se utiliza una encuesta online dirigida a un grupo de ciudadanos locales, los seguidores de la red social Facebook Moderniza Bahía. Esto permitió obtener una muestra representativa de la población con un muestreo para poblaciones finita. Sin embargo, no se analiza la relación entre ciudadanos y gobierno mediada por las redes sociales. De los resultados obtenidos se desprende que el conocimiento, los beneficios esperados y la confianza sobre el gobierno electrónico se relacionan con mayores niveles de adopción de gobierno electrónico.The literature on electronic government focused on public services from the supply side. However, the citizens’ perspective has received limited at-tention. This paper explores the electronic govern-ment adoption from the citizens’ perspective. The objective of this study is addressing how involved are citizens from the Bahía Blanca city in e–gov-ernment (mediated by the municipal website). Besides, it examines the subjective factors that could explain such e–government level. To achieve these goals, an online survey conducted to a group of local citizens, the followers of’ «Moderniza Bahía» Facebook. In this vein, we could obtain a representative sample of the population by using a sample from a finite population. Results obtained shows that higher levels of awareness, expected benefits and trust on e–government can explain higher levels of e–government adoption.Fil: Alderete, Maria Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; ArgentinaFil: Diaz, Lucia Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentin

User satisfaction model to measure open government data usage

The open government data (OGD) initiative is presented by the government of any country to achieve promotion of transparency, social control and citizens participation in policy making. The use of OGD in Malaysia is still in its early stage and facing problems such as less participation, security issues, and lack of awareness. While most of the research in Information Communication Technology (ICT) that underpinned by Expectation Confirmation Theory (ECT) are focused on user satisfaction and determination of users’ reuse intention, this study focus on the direct antecedents of OGD users’ intention to use and its influence on OGD users’ satisfaction, as this research is still scarce. This research aims to examine ECT model on users’ satisfaction mediated by the intention to use the open government data (OGD). The objectives of this research are in three folds; (1) to design an integrated ECT and TAM models for explaining OGD satisfaction, (2) to examine the mediating role of citizens’ behavioural intention between the expectations, confirmation, perceived performance, incentive on usage, perceived risk and citizen’s satisfaction of open government data, (3) and to validate the impact of incentives on usage and perceived risk in explaining the new ECT model in the OGD context. Data were collected from 250 samples of OGD users in Malaysia. Empirical evidences were gathered through self-administered questionnaires using the Likert scale. The data were analysed using Partially Least Square Structural Equation Modelling (PLS-SEM) in order to test the model. The final model was verified by experts in the area. Results revealed that expectation has significant relationship with confirmation, but perceived performance showed insignificant relationship with confirmation which serves as a unique finding. Additionally, confirmation, expectation, perceived performance, incentive on usage and perceived risk has significant relationship with intention to use OGD. Meanwhile, the analysis proved that the intention to use mediates the relationship between confirmation, expectation, perceived performance, incentive on usage, perceived risk and satisfaction on use of OGD. This study suggests that the user’s expectations on OGD must be met in creating stronger intention and satisfaction. The implications of the study are to improve data service quality, support innovative services development, increase data transparency, and boost up potential investment

The successful factors of GFMIS in Jordan: Moderating roles of training and user involvement

The Government Financial Management Information System (GFMIS) was initiated by the Government of Jordan (GoJ) in 2010, to replace the ‘closed’ financial management system that was previously used by various government agencies. Despite its potential to enhance efficiency and effectiveness of the government’s financial management, GFMIS has encountered several user-related issues that might affect user behaviour, intention to use, continuous usage, system users satisfaction, and ultimately, the success of GFMIS. Despite extensive efforts to understand these phenomena, documented studies on the success of GFMIS are not altogether consistent. Hence, this study developed a research model utilising DeLone and McLean’s information systems (IS) success model to identify the determinants of successful GFMIS implementation among the Jordanian public employees. A total of 654 questionnaires were self - administrated to GFMIS users in 52 Jordanian government organisations. Data analysis on 257 usable responseswas carried out using Partial Least Squares Structural Equation Modelling (PLS-SEM). The results indicate that 13 out of 15 hypothesised relationships are significantly supported. The results suggest that information quality and service quality have a positive impact on GFMIS use/user satisfaction, while system quality has only a significant effect on GFMIS use. GFMIS use also has a positive effect on user satisfaction. Both use and user satisfaction are significant in predicting net benefits. Moreover, the results prove that user resistance is the determinant of GFMIS use and user satisfaction. The results further support the moderating role of user involvement, while partially support the moderating role of training. This study offers both theoretical and practical contributions. Theoretically, this study tests the IS success model on a new e-government system and extends the IS success model by incorporating user resistance, training, and user involvement. Practically, this study provides relevant authorities with insightful evidence in successfully managing e-government project

5th International Open and Distance Learning Conference Proceedings Book = 5. Uluslararası Açık ve Uzaktan Öğrenme Konferansı Bildiri Kitabı

In celebration of our 40th anniversary in open and distance learning, we are happy and proud to organize the 5th International Open & Distance Learning Conference- IODL 2022, which was held at Anadolu University, Eskişehir, Türkiye on 28-30 September 2022. After the conferences in 2002, 2006, 2010, and 2019, IODL 2022 is the 5th IODL event hosted by Anadolu University Open Education System (OES)