Measuring Satisfaction and Behavioral Intention of Students in Art Majors on the Use of Graduation Management System in China

Purpose: This research determines to measure factors impacting the satisfaction and behavioral intention of students in art majors who graduated in 2020 using the graduation management system in China. The conceptual framework was developed based on perceived ease of use, perceived usefulness, system quality, trust, attitude, satisfaction, and behavioral intention. Research design, data, and methodology: The study applied the quantitative method and collected the data (n=500) using judgmental, stratified random, and convenience sampling. The questionnaire was used as a tool to collect the data. Before the data collection, The Item-Objective Congruence (IOC) and pilot test (n=50) of Cronbach’s Alpha were approved. The data were analyzed with confirmatory factor analysis and structural equation modeling. Results: All hypotheses are supported. Perceived ease of use has a significant impact on perceived usefulness and satisfaction. Perceived usefulness strongly impacts satisfaction, followed by behavioral intention. System quality significantly impacts satisfaction. In addition, behavioral intention is significantly impacted by trust, attitude, and satisfaction. Conclusion: This study provides the necessary knowledge and reliable results for universities and system developers to improve and upgrade the graduation management system. Therefore, students’ behavioral intention and satisfaction can be valid indicators to enhance the performance of the graduation management system

Understanding the adoption of a new waste management system

Vorobeva, D., Scott, I. J., Oliveira, T., & Neto, M. (2023). Leveraging technology for waste sustainability: Understanding the adoption of a new waste management system. Sustainable Environment Research, (33), [12]. https://doi.org/10.1186/s42834-023-00174-x --- The authors acknowledge the financial support provided by Fundação para a Ciência e a Tecnologia (FCT) Portugal under the project UIDB/0415s2/2020—Centro de Investigação em Gestão de Informação (MagIC). Project BEE2WasteCrypto (reference IDT-COP 45933) leading to this work is co-financed by the ERDF – European Regional Development Fund through the Operational Program for Competitiveness and Internationalisation COMPETE 2020, the Lisbon Portugal Regional Operational Program – LISBOA 2020 and by the Portuguese Foundation for Science and Technology – FCT under CMU Portugal Program.Many countries are under escalating pressure to meet legally binding targets in relation to recycling and waste management. This paper explores how innovative tools, including blockchain, economic incentives, and gamification, encourage consumer adoption of a novel household waste management system. We focus on developing a comprehensive framework that combines UTAUT2 (the unified theory of acceptance and use of technology 2) with novel features in the waste management context and additional behavioral construct, intention to recommend the system to others. We tested the proposed model using the partial least square structural equation modeling approach based on a survey of 400 respondents. The results indicate that in addition to effort expectancy, social influence, and hedonic motivation, trust, a property of blockchain technology, also impacts the respondent’s behavioral intention to use the new system. Furthermore, trust has a significant effect on both the level of system use and intention to recommend waste management system to others. The role of gamification was identified as a moderator between behavioral intention and system use and between trust and system use but not between system use and facilitating conditions. This result demonstrates that gamification can be valuable to increase adoption in users with otherwise low levels of behavioral intention. However, we did not find a strong link between either economic incentives, facilitating conditions, or performance expectancy and behavioral intention. The paper concludes by presenting the application of the proposed framework and the implications for the design of future consumer-facing waste management systems. The introduction of the novel features such as blockchain and gamification is discussed.publishersversionpublishe

Teacher Evaluation, Development and Improvement

Teacher evaluation has become the focal point for education reform and improvement of U.S. schools over the last several years. At the center of the debate is the primary function of teacher performance management systems. This paper argues that teacher performance management systems which focus on the function of development and improvement will be most effective. Current teacher evaluation systems are examined using the transtheoretical model for behavioral change and examine which evaluation systems create the environment for teacher behavioral change that will be most successful. Ultimately, an organizational and educational culture of trust and support is necessary for the implementation of an effective teacher performance management system

A Brain-Inspired Trust Management Model to Assure Security in a Cloud based IoT Framework for Neuroscience Applications

Rapid popularity of Internet of Things (IoT) and cloud computing permits neuroscientists to collect multilevel and multichannel brain data to better understand brain functions, diagnose diseases, and devise treatments. To ensure secure and reliable data communication between end-to-end (E2E) devices supported by current IoT and cloud infrastructure, trust management is needed at the IoT and user ends. This paper introduces a Neuro-Fuzzy based Brain-inspired trust management model (TMM) to secure IoT devices and relay nodes, and to ensure data reliability. The proposed TMM utilizes node behavioral trust and data trust estimated using Adaptive Neuro-Fuzzy Inference System and weighted-additive methods respectively to assess the nodes trustworthiness. In contrast to the existing fuzzy based TMMs, the NS2 simulation results confirm the robustness and accuracy of the proposed TMM in identifying malicious nodes in the communication network. With the growing usage of cloud based IoT frameworks in Neuroscience research, integrating the proposed TMM into the existing infrastructure will assure secure and reliable data communication among the E2E devices.Comment: 17 pages, 10 figures, 2 table

Evaluation of Trademarks Effect on Customers Loyalty Case Study: Software Industry

Undoubtedly , in today’s  markets , which are associated with increased competition , one way for company for more market share and achieve competitive advantage will be access to loyal customers. According to importance of this issue in business survival , especially in the field of software industry identifying factors that influence loyalty , the goal of this studies is investigating the important  factors that influence the customer loyalty . in order to achieve this goal, based on the conceptual model of relationship satisfaction value, resistance to change, sense of trust, and build brand equity and customer loyalty theory and we gathering our data with distribute 140 questionnaires between companies in Tehran that cooperate with one manufacturer company’s management information system software that for testing the data, we use spearman correlation coefficients were tested by structural equation analysis. Results indicate that brand equity and trust are the most important factor influencing patterns of behavioral and attitudinal loyalty. While the factors influencing behavioral loyalty versus attitudinal loyalty research in the field view may be different. Key words: trademarks, customer loyalty, industrial marketin

A Novel Design to Minimise the Energy Consumption and Node Traversing in Blockchain Over Cloud Using Ensemble Cuckoo Model

The article outlines the Blockchain’s behavioral model for services. Their reliability is proven through the use of experimental evidence. The authors highlight the major technical aspects and characteristics that are associated with the transmission of data through the network. The authors define the scheme for the network, which works with blockchain transactions, and the relationship between network characteristics on parameters used by the application. They examine the use of this model to identification of the blockchain service and also the likelihood of existing security mechanisms that are based on the technology being bypassed. Additionally, the article provides guidelines to conceal the Blockchain's traffic profile to make it more difficult for its detection in the information network. This study offers a thorough analysis of blockchain-based trust models applied to cloud computing. The paper highlights the challenges that remain unsolved and offers suggestions for future studies in the area based on new cloud-edge trust management system and double-blockchain structure, which is a cloud-based transaction model. The paper also identifies the existing challenges and offers suggestions for future studies in the area based on new cloud-edge trust management system and double-blockchain structure, which is a cloud-based transaction model. The flow of the network will be supported by models that are enhanced by cuckoo to frame the perfect network transform of data from one point to cluster, or alternatively

Customer evaluation of managers\u27 responses to online complaints

Managers have begun to respond to customers\u27 online reviews of services on online review websites. However, it is not known how viewers evaluate company-initiated service recovery in the form of manager responses to online reviews. This research has three objectives: (1) to explore how managers are currently responding to electronic word of mouth; (2) to investigate whether a manager\u27s response to electronic negative word of mouth (eNWOM) positively influences viewers\u27 behavioral intentions; (3) to examine which elements in a manager\u27s responses increases viewers\u27 evaluations of trust and behavioral intentions towards the company. Three studies were conducted, one for each objective. Study 1 examined 21,211 online reviews and manager responses from Tripadvisor.com from 184 hotels in five cities. Study 2 was a single-factor between-subject experimental design by manipulating a manager\u27s response to eNWOM (response message vs. no response message) through scenarios. Study 3 was a 2 (procedural justice: high vs. low) x 2 (interactional justice: high vs. low) x 2 (social presence: high vs. low) between-subject experimental design that manipulated manager\u27s responses through scenarios. Findings from Study 1 revealed that managers were more likely to respond to eNWOM compared to neutral word of mouth. A content analysis of 432 company responses to eNWOM determined that managers used nine online review management strategies: appreciation, apology, future patronage encouragement, explanation, follow up, flexibility, correction, compensation, and social presence. Results from Study 2 indicated that viewers were more likely to visit a restaurant when a manager responded to eNWOM compared to no response to eNWOM. Results from Study 3 revealed a three-way interaction of procedural justice, interactional justice, and social presence on trust. There were also main effects of procedural justice and interactional justice on trust. Additionally, results provided partial support for the mediating role of trust in the relationship between the three-way interaction and behavioral intentions. This study contributes to the online service recovery literature and online trust formation literature by enhancing the understanding of how viewers evaluate manager responses to eNWOM and how social presence can be used with procedural justice and interactional justice to enhance trust in the online review management context. Service organizations should create a comprehensive online review system to respond to eNWOM and identify ways to enhance procedural justice, interactional justice, and social presence into their responses. Online review websites should encourage companies to provide managerial response to online complaints and allow for social presence and enhanced creative options in manager responses

Internet banking acceptance model: Cross-market examination

This article proposes a revised technology acceptance model to measure consumers’ acceptance of Internet banking, the Internet Banking Acceptance Model (IBAM). Data was collected from 618 university students in the United Kingdom and Saudi Arabia. The results suggest the importance of attitude, such that attitude and behavioral intentions emerge as a single factor, denoted as “attitudinal intentions” (AI). Structural equation modeling confirms the fit of the model, in which perceived usefulness and trust fully mediate the impact of subjective norms and perceived manageability on AI. The invariance analysis demonstrates the psychometric equivalence of the IBAM measurements between the two country groups. At the structural level, the influence of trust and system usefulness on AI vary between the two countries, emphasizing the potential role of cultures in IS adoption. The IBAM is robust and parsimonious, explaining over 80% of AI