Determinants of Customer Loyalty toward Mobile Wallet Services in Post-COVID-19: The Moderating Role of Trust

Human Behavior and Emerging Technologies, Год журнала: 2023, Номер 2023, С. 1 - 13

Опубликована: Авг. 7, 2023

One of the highly acclaimed innovations is mobile wallet. Mobile wallets ensure that customers can make purchases even if they forget their at home. The use these has increased significantly with spread COVID-19 pandemic as a preventive measure. However, restrictions lifted and adaptation to pandemic, are no longer forced wallets. That is, things have returned normal before where customer left free choose method payment. In this regard, businesses need retain sure those will reuse own during period (post-COVID-19). Hence, it critical explore loyalty determinants toward wallet services in such period. Therefore, using Indian context, paper sought post-COVID-19. This study also investigated role trust moderator. Based on sample size 243 India, relationships proposed model were tested SmartPLS statistical technology. results revealed service quality, privacy security, key gaining Yet, did not support perceived usefulness ease loyalty. As for moderator, supported only one four hypotheses. Specifically, “trust significant moderating impact relationship between quality loyalty”. offer more precise comprehension post-COVID-19 enable managers better management decisions.

Язык: Английский

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Navigating the Future: Exploring AI Adoption in Chinese Higher Education Through the Lens of Diffusion Theory

Interdisciplinary Journal of Information Knowledge and Management, Год журнала: 2024, Номер 19, С. 009 - 009

Опубликована: Янв. 1, 2024

Aim/Purpose: This paper aims to investigate and understand the intentions of management undergraduate students in Hangzhou, China, regarding adoption Artificial Intelligence (AI) technologies their education. It addresses need explore factors influencing AI educational context contribute ongoing discourse on technology integration higher Background: The problem by conducting a comprehensive investigation into perceptions study explores various factors, including Perceived Relative Advantage Trialability, shed light nuanced dynamics Methodology: employs quantitative research approach, utilizing Confirmatory Tetrad Analysis (CTA) Partial Least Squares Structural Equation Modeling (PLS-SEM) methodologies. sample consists methods include data screening, principal component analysis, confirmatory tetrad evaluation measurement structural models. We used random sampling method distribute 420 online, self-administered questionnaires among aged 18 21 at universities Hangzhou. Contribution: how perceive identifies that influence intention. Furthermore, emphasizes complex nature changing landscape. offers thorough comprehension this process while challenging expanding existing literature revealing insignificant impacts certain factors. highlights for an approach education is context-specific culturally sensitive. Findings: students’ positive attitudes toward integrating settings. relative advantage trialability were found impact intention significantly. influenced social cultural contexts rather than like compatibility, complexity, observability. Peer influence, instructor guidance, university environment identified as pivotal shaping technologies. Recommendations Practitioners: To promote use practitioners should highlight benefits ease testing these essential create communication strategies tailored student’s needs, consider differences, utilize peers instructors. Establishing supportive within encourages innovation through policies regulations vital. Additionally, it recommended towards be monitored constantly, adjusted accordingly keep up with technological Recommendation Researchers: Researchers conduct cross-disciplinary cross-cultural studies qualitative longitudinal designs affecting observability, individual attitudes, prior experience, evolving role Impact Society: study’s insights have broader societal implications. reflects readiness transformative experiences region known advancements. However, also underscores importance cautious integration, considering associated risks privacy biases ensure equitable uphold values. Future Research: delve academic disciplines regions, employing influences roles Investigating moderating specific factors’ relationship understanding.

Язык: Английский

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Assessing Students' Critical Thinking Skills in Terms of Cognitive Style: A Study of the Application of the Inquiry Collaborative Based V-Lab Model in Programming Courses

Journal of Applied Business and Technology, Год журнала: 2024, Номер 5(2), С. 67 - 71

Опубликована: Май 31, 2024

This study explored the assessment of students' critical thinking skills in programming courses by considering individual cognitive styles. We apply inquiry collaborative-based V-Lab model as a learning approach, allowing students to participate virtual experiments and interactive simulations. approach is applied class, taking into account student's style determining factor. use measurement methods that include solution analysis, problem-solving, students. The results showed based on collaborative was effective improving skills, with variations its effect depending individual's style. implications these findings are presented for development more adaptive approaches courses, well further research interaction between styles technology-based learning.

Язык: Английский

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The Role of IT Governance in the Integration of AI in Accounting and Auditing Operations

Economies, Год журнала: 2024, Номер 12(8), С. 199 - 199

Опубликована: Авг. 1, 2024

IT governance is a framework that manages the efficient use of information technology within an organization, focusing on strategic alignment, risk management, resource performance measurement, compliance, and value delivery. This study investigates role in integrating artificial intelligence (AI) accounting auditing operations. Data were collected from 228 participants Saudi Arabia using combination convenience sampling snowball methods. The data then analyzed structural equation modeling. Unexpectedly, results demonstrate AI, big analytics, cloud computing, deep learning technologies significantly enhance functions’ efficiency decision-making capabilities, leading to improved financial reporting audit processes. highlight plays crucial managing complexities AI integration, aligning business strategies with AI-enabled technologies, facilitating these advancements. research fills gap previous adds academic literature by improving understanding into It builds existing theoretical frameworks investigating promoting adoption. findings provide valuable insights for experts, specialists, organizational leaders. provides practical deploying AI-driven organizations procedures reporting. In societal context, it highlights broader implications transparency, accountability, trust Finally, offers practitioners, policymakers, scholars leveraging advancements optimize as essential tool effectively However, successful implementation encounters significant challenges like support, training, sovereignty, regulatory compliance.

Язык: Английский

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A conceptual analysis of artificial intelligence (AI) on academic opportunities and challenges: a case study based on higher educational institutions in Bangladesh

Quality Assurance in Education, Год журнала: 2024, Номер unknown

Опубликована: Июль 13, 2024

Purpose The purpose of this paper is to provide an in-depth analysis the challenges associated with using artificial intelligence (AI) in academic research and suggest various preventive measures that can be taken address these issues transform them into opportunities. Design/methodology/approach To develop measurement items constructs, authors collected 248 responses through online survey. These were then used establish structural model determine discriminant validity use equation modeling SmartPLS 4.0.9.9. Additionally, SPSS (Version 29) create graphs visual representations faced most commonly AI tools. techniques allowed explore data draw meaningful conclusions for future research. Findings This shows has a positive impact on higher education, improving learning outcomes security. However, such as plagiarism integrity destroy students. study highlights AI’s potential education while emphasizing need challenges. Practical implications emphasizes tackle suggests enhancing work. Originality/value examines how personalize overcome area. It importance institutions promoting transparency prevent plagiarism. stresses technology advancement exploration new approaches further improve personalized AI.

Язык: Английский

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