• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.75-86
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• 2022

The service industry has been acknowledged as a critical part of mobile banking services in recent years. This study examines the impact of e-service quality and loyalty on the intention to use and use behavior of mobile banking services in Mongolia, a Central Asian country. As a result, based on past research, a conceptual model was suggested. This study comprises 209 completed questionnaires from young Mongolians who own a bank account and a smartphone. The data was collected based on convenience sampling, and it was analyzed with SmartPLS software using a partial least squares-structural equation modeling (PLS-SEM) technique. The findings indicate that system quality, interface design, and security assurance have a significant positive impact on service quality; service quality has a positive impact on loyalty. Moreover, the results reveal that service quality and loyalty have a significant influence on the intention to use mobile banking services. The findings of this study suggest that local or international banks and financial institutions in Mongolia should consider system quality, interface design, and security concerns as key successors to building perceived security quality to retain current mobile banking users and attract new customers.

• Journal of Distribution Science
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• v.21 no.7
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• pp.91-104
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• 2023

Purpose: In the past decade, Scholars, think tanks, and policymakers have had rich discussions about omnichannel distribution science. However, despite the growing body of research in this area, there is currently no universally accepted definition of what exactly an "omnichannel consumer" consists of and what the most relevant drivers are. This study aims to synthesize the empirical evidence surrounding omni-channel consumer research and its management. Additionally, we demonstrate how omnichannel consumer research has emerged from different theoretical perspectives and disciplines. Research design, data and methodology: Using the Systematic Literature Review method and searching the CNKI, Web of Science, and Scopus databases for 130 articles, the study analyzed the current state of omnichannel consumer research and categorized and summarized the findings in the literature. Results: This study analyzes the current state of omnichannel consumer research and categorizes the findings in the literature and identifies four research areas: consumer behavior, consumer experience, consumer sentiment dimensions, and consumer segmentation. Conclusions: This literature review offers the first comprehensive and systematic overview of "Chinese omnichannel consumers." It not only highlights the most critical research trends discussed in existing studies, but also outlines the expected direction of future research, which provides the basis for understanding omnichannel consumer research.

• The Bulletin of The Korean Astronomical Society
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• v.45 no.1
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• pp.34.1-34.1
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• 2020

The recent discovery of diffuse dwarf galaxies that are deficient in dark matter appears to challenge the current paradigm of structure formation in our Universe. We describe the numerical experiments to determine if the so-called dark matter deficient galaxies (DMDGs) could be produced when two gas-rich, dwarf-sized galaxies collide with a high relative velocity of ~ 300km/s. Using idealized high-resolution simulations with both mesh-based and particle-based gravito-hydrodynamics codes, we find that DMDGs can form as high-velocity galaxy collisions separate dark matter from the warm disk gas which subsequently is compressed by shock and tidal interaction to form stars. Then using a large simulated universe ILLUSTRISTNG, we discover a number of high-velocity galaxy collision events in which DMDGs are expected to form. However, we did not find evidence that these types of collisions actually produced DMDGs in the ILLUSTRISTNG100-1 run. We argue that the resolution of the numerical experiment is critical to realize the "collision-induced" DMDG formation scenario. Our results demonstrate one of many routes in which galaxies could form with unconventional dark matter fractions.

• Journal of Distribution Science
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• v.21 no.8
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• pp.11-21
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• 2023

Purpose: This study examined the effect of situational, transformational, and transactional leadership on the firm survival of restaurants distribution in Thailand during the COVID-19 pandemic. Following the existing literature, situational, transformational, and transactional leadership are the origin of firm performance leading to firm survival. Therefore, situational, transformational, and transactional leadership were the critical factors in creating the firm implementation of restaurants distribution in Thailand. Research design, data, and methodology: The sample consisted of 400 restaurants in Thailand, and the statistical approach for data analysis was an ordinary least-squares regression. The study analyzed the response bias, validity, and reliability. Results: Significantly, these findings firmly revealed that situational, transformational, and transactional leadership primarily positively affected firm performance. However, the uncertain environmental conditions had a moderate impact, resulting in a negative correlation between the three leadership styles and the company's performance. Conclusions: Despite the COVID-19 situation in Thailand, the research findings show no significant positive correlation between the performance of restaurants distribution and their survival as a business due to the COVID-19 pandemic is rare for firms to endure and survive, including restaurants distribution in Thailand. In conclusion, we have presented practical and theoretical ideas and recommendations for future research.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.686-693
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• 2022

Construction is a collaborative endeavor. The complexity in delivering construction projects successfully is impacted by the effective collaboration needs of a multitude of stakeholders throughout the project life-cycle. Technologies such as Building Information Modelling and relational project delivery approaches such as Alliancing and Integrated Project Delivery have developed to address this conundrum. However, with the onset of the pandemic, the digital economy has surged world-wide and advances in technology such as in the areas of machine learning (ML) and Artificial Intelligence (AI) have grown deep roots across specializations and domains to the point of matching its capabilities to the human mind. Several recent studies have both explored the role of AI in the construction process and highlighted its benefits. In contrast, literature in the organization studies field has highlighted the fear that tasks currently done by humans will be done by AI in future. Motivated by these insights and with the understanding that construction is a labour intensive sector where knowledge is both fragmented and predominantly tacit in nature, this paper explores the integration of AI in construction processes across project phases from planning, scheduling, execution and maintenance operations using literary evidence and experiential insights. The findings show that AI can complement human skills rather than provide a substitute for them. This preliminary study is expected to be a stepping stone for further research and implementation in practice.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.491-495
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• 2015

This paper aims to provide some unique insights into the verification of organisational innovation diffusion through empirically identifying the major factors determining the level of organisational innovation diffusion. The paper presents a two-stage sequential mixed method analysis: structural equation modelling analysis and regression analysis. A questionnaire survey was administrated to a sample of 223 organisations operating in Saudi Arabia. The results suggest that participative culture and, technology availability and implementation would intensify organisational climate for innovation. The results revealed compelling evidence in support of the moderating role of technology on the relationship between country socio-culture and organisational climate for innovation. Equally important, organisational innovation characteristics could play a crucial role in the intention to adopt a particular innovation. Specifically, maintaining Saudi Arabian top management's status quo is an obstacle to organisational innovation diffusion. This paper expands and improves upon the current understanding of how organisational innovation diffusion, in particular the Project Management Office (PMO), can be accelerated. By focusing on the critical factors within the conceptual model, the paper depicts the crucial role of certain factors that could leverage improved organisational innovation diffusion outcomes.

• Journal of applied mathematics & informatics
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• v.41 no.5
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• pp.1129-1143
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• 2023

Social media platforms have become an integral part of our daily lives, and they generate vast amounts of data that can be analyzed for various purposes. However, the quality of the data obtained from social media is often questionable due to factors such as noise, bias, and incompleteness. Enhancing data quality is crucial to ensure the reliability and validity of the results obtained from such data. This paper proposes an enhanced decision-making framework based on Business Decision Management Systems (BDMS) that addresses these challenges by incorporating a data quality enhancement component. The framework includes a backtracking method to improve plan failures and risk-taking abilities and a steep optimized strategy to enhance training plan and resource management, all of which contribute to improving the quality of the data. We examine the efficacy of the proposed framework through research data, which provides evidence of its ability to increase the level of effectiveness and performance by enhancing data quality. Additionally, we demonstrate the reliability of the proposed framework through simulation analysis, which includes true positive analysis, performance analysis, error analysis, and accuracy analysis. This research contributes to the field of business intelligence by providing a framework that addresses critical data quality challenges faced by organizations in decision-making environments.

• BMB Reports
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• v.56 no.11
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• pp.612-617
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• 2023

Pleiotropic regulator 1 (PLRG1), a highly conserved element in the spliceosome, can form a NineTeen Complex (NTC) with Prp19, SPF27, and CDC5L. This complex plays crucial roles in both pre-mRNA splicing and DNA repair processes. Here, we provide evidence that PLRG1 has a multifaceted impact on cancer cell proliferation. Comparing its expression levels in cancer and normal cells, we observed that PLRG1 was upregulated in various tumor tissues and cell lines. Knockdown of PLRG1 resulted in tumor-specific cell death. Depletion of PLRG1 had notable effects, including mitotic arrest, microtubule instability, endoplasmic reticulum (ER) stress, and accumulation of autophagy, ultimately culminating in apoptosis. Our results also demonstrated that PLRG1 downregulation contributed to DNA damage in cancer cells, which we confirmed through experimental validation as DNA repair impairment. Interestingly, when PLRG1 was decreased in normal cells, it induced G1 arrest as a self-protective mechanism, distinguishing it from effects observed in cancer cells. These results highlight multifaceted impacts of PLRG1 in cancer and underscore its potential as a novel anti-cancer strategy by selectively targeting cancer cells.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.117-123
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• 2011

The Australian construction industry is characterized as being a competitive and risky business environment due to lack of cooperation, insufficient trust, ineffective communication and adversarial relationships which are likely lead to poor project performance. Relational contracting (RC) is advocated by literature as an innovative approach to improve the procurement process in the construction industry. Various studies have collectively added to the current knowledge of known RC norms, but there seem to be little effort on investigating the determinants of RC and its impact on project outcomes. In such circumstances, there is lack of evidence and explanation on the manner on how these issues lead to different performance. Simultaneously, the New Engineering Contract (NEC) that embraced the concept of RC is seen as a modern way of contracting and also considered as one of the best approaches to the perennial problem of improving adversarial relationships within the industry. The reality of practice of RC in Australia is investigated through the lens of the NEC. A synthesis of literature views on the concept, processes and tools of RC is first conducted to develop the framework of RC. A case study approach is proposed for an in-depth analysis to explore the critical issues addressed by RC in relation to project performance. Understanding the realities of RC will assist stakeholders in the construction industry with their investment in RC.

• Journal of Information Technology Applications and Management
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• v.31 no.3
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• pp.149-163
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• 2024

As conversational AI systems such as ChatGPT have become more advanced, researchers are exploring ways to use them in education. However, we need effective ways to evaluate these systems before allowing them to help teach students. This study proposes a detailed framework for testing conversational AI across three important criteria as follow. First, specialized benchmarks that measure skills include giving clear explanations, adapting to context during long dialogues, and maintaining a consistent teaching personality. Second, adaptive standards check whether the systems meet the ethical requirements of privacy, fairness, and transparency. These standards are regularly updated to match societal expectations. Lastly, evaluations were conducted from three perspectives: technical accuracy on test datasets, performance during simulations with groups of virtual students, and feedback from real students and teachers using the system. This framework provides a robust methodology for identifying strengths and weaknesses of conversational AI before its deployment in schools. It emphasizes assessments tailored to the critical qualities of dialogic intelligence, user-centric metrics capturing real-world impact, and ethical alignment through participatory design. Responsible innovation by AI assistants requires evidence that they can enhance accessible, engaging, and personalized education without disrupting teaching effectiveness or student agency.