Purpose - The present research has been undertaken to examine the Customer Relationship Management (CRM) strategies adopted by public and private sector banks in India. The initial part of research helps to identify the factors of overall satisfaction of customers. The study also tries to identify the key determinants of CRM of Indian banking. Research design, data, methodology - The present research uses a self-structured questionnaire having a reliability score of 0.817 to elicit responses from customers in New Delhi and surrounding areas in India to examine the CRM used by public and private sector banks for enhancing customer satisfaction. The scale had 32 questions covering customer perceptions related to overall satisfaction and factors contributing to CRM. Results - The results highlight that overall satisfaction comprises of two factors namely personalised Services; and reliability and dependability. The determinants of CRM as identified through survey are: Speed, safety and security; Employee CRM; on time services; customer targeting; and friendly and helpful staff. The results also highlight that safety and security was preferred to other factors by the respondents. Conclusions - The findings of this study show that in terms of performance private sector banks fared better in providing CRM services than public sector banks.
In recent years, artificial intelligence, especially object detection-based deep learning in computer vision, has made significant advancements, driven by the development of computing power and the widespread use of graphic processor units. Object detection-based deep learning techniques have been applied in various fields, including the medical imaging domain, where remarkable achievements have been reported in disease detection. However, the application of deep learning does not always guarantee satisfactory performance, and researchers have been employing trial-and-error to identify the factors contributing to performance degradation and enhance their models. Moreover, due to the black-box problem, the intermediate processes of a deep learning network cannot be comprehended by humans; as a result, identifying problems in a deep learning model that exhibits poor performance can be challenging. This article highlights potential issues that may cause performance degradation at each deep learning step in the medical imaging domain and discusses factors that must be considered to improve the performance of deep learning models. Researchers who wish to begin deep learning research can reduce the required amount of trial-and-error by understanding the issues discussed in this study.
The Journal of Asian Finance, Economics and Business
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v.8
no.10
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pp.139-146
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2021
This article analyzes factors affecting the application of strategic management accounting in different enterprises in Vietnam's consumer goods industry, providing more empirical evidence on factors affecting the application of strategic management accounting. The research method used a questionnaire survey of managers at all levels, chief accountants, and accountants from 72 consumer goods enterprises in Vietnam. The survey results collected 290 questionnaires, however, due to invalid questionnaires with many blank cells, 284 questionnaires were finally selected. Quantitative research was carried out with SPSS 25 software. Research results show that 6 factors have a positive influence on the application of strategic management accounting including awareness of the business market, business strategy, technology, corporate culture, qualification of management accountants, decentralization of management, in which technology has the strongest influence on the application of strategic management accounting in consumer goods enterprises in Vietnam. The standardized Beta coefficient extracted from the multiple linear regression equation reveals that the technology factor has a high standardized Beta coefficient (0.176) compared to other factors. Based on the research results, the author has proposed recommendations to improve the ability of consumer goods businesses to successfully apply strategic management accounting techniques, thereby contributing to improving competitiveness and performance of consumer goods enterprises.
International conference on construction engineering and project management
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2022.06a
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pp.649-657
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2022
The COVID-19 pandemic has unprecedented impacts on different sectors around the globe. The effects observed in developing countries are even more severe. Some projects stopped while many have cost and time overrun issues. This paper conducted a case study on the COVID-19's effects on a hotel construction project in Nepal. The study reviewed the literature on COVID-19 and its impact on construction sectors and conducted a semi-structured interview with the project's personnel. The interview response was analysed and the contributing factors that impacted the project and its performance were identified. The paper found financial, operational, contractual, safety, and risk management issues in the hotel project. Overall, the project cost increased by 32% where the material cost increased by 35% and labor cost increased by 28%. This research discusses causes, measures, and provides a broad perspective of the problems, significant challenges, and opportunities associated with the effects of COVID-19 on the construction industry. The Owner as well as the Contractors incurred added costs because of COVID-19. The paper identified contributing factors and presented the challenges which could be used as opportunities to minimize unforeseen impacts of the pandemics in near future. The lesson learned from this case study was that the labor cost and materials cost could have been minimized if the Owner and the Contractor had established alternative resources such as using locally available labor, materials, and alternative suppliers.
The Journal of Asian Finance, Economics and Business
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v.8
no.3
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pp.1065-1071
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2021
This study seeks to analyze the impact, and provides more empirical evidence on the effect, of the responsible accounting model combined with scorecards on the organizational performance of pharmaceutical companies. The research methodology uses questionnaires survey distributed to pharmaceutical companies. Quantitative research was done with SPSS 25 software. After excluding invalid questionnaires due to many blank boxes, 306 questionnaires could be used by the author. Research results show that seven elements of the responsible accounting model combined with the balance scorecard all positively affect the organizational performance of enterprises in the pharmaceutical industry including: (1) dividing organizational structure into centers of responsibility according to strategy; (2) assigning management to management according to vision; (3) allocating costs and revenue; (4) making budget estimates according to balanced scorecard (BSC); (5) evaluating estimates with reality by BSC; (6) making BSC analysis reports; and (7) rewarding based on BSC. Cost allocation and revenue are the factors that have the strongest impact on the organizational efficiency of pharmaceutical enterprises. Based on the research results, the author has proposed recommendations to improve the good application of the responsible accounting model combined with the balance scorecard, thereby contributing to improving the organizational efficiency of pharmaceutical enterprises.
The Journal of Asian Finance, Economics and Business
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v.8
no.9
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pp.313-319
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2021
The article analyzes the impact of factors affecting the use of management accounting in small and medium-sized firms in Vietnam, which adds to the empirical evidence on these factorsThe survey results collected 328 questionnaires using a questionnaire survey of managers at all levels, chief accountants, and accountants of 89 small and medium firms in Vietnam. Some questionnaires were invalid due to many blank cells, hence the author chose to use 315 questionnaires. Quantitative research was carried out with SPSS 25 software. Research results show that five factors have a positive influence on the application of management accounting including Competitive pressure, Decentralization of responsibility, Application of information technology, the level of interest of managers, and the quality of human resources, in which the application of information technology and competitive pressure are the factors that have the strongest influence on the application of management accounting in small and medium enterprises in Vietnam. Based on the findings of the study, the author has proposed recommendations to help small and medium-sized businesses improve their ability to successfully apply management accounting techniques, thereby improving their competitiveness and efficiency performance and contributing to the long-term sustainability of their businesses.
Bronson B. Du;Sara Rezvani;Philip Bigelow;Behdin Nowrouzi-Kia;Veronique M. Boscart;Marcus Yung;Amin Yazdani
Safety and Health at Work
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v.13
no.4
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pp.379-386
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2022
Emergency medical services (EMS) personnel are at high risk for adverse mental health outcomes during disease outbreaks. To support the development of evidence-informed mitigation strategies, we conducted a scoping review to identify the extent of research pertaining to EMS personnel's mental health during disease outbreaks and summarized key factors associated with mental health outcomes. We systematically searched three databases for articles containing keywords within three concepts: EMS personnel, disease outbreaks, and mental health. We screened and retained original peer-reviewed articles that discussed, in English, EMS personnel's mental health during disease outbreaks. Where inferential statistics were reported, the associations between individual and work-related factors and mental health outcomes were synthesized. Twenty-five articles were eligible for data extraction. Our findings suggest that many of the contributing factors for adverse mental health outcomes are related to inadequacies in fulfilling EMS personnel's basic safety and informational needs. In preparation for future disease outbreaks, resources should be prioritized toward ensuring adequate provisions of personal protective equipment and infection prevention and control training. This scoping review serves as a launching pad for further research and intervention development.
Journal of the Korean Operations Research and Management Science Society
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v.24
no.2
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pp.135-150
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1999
Service quality is very important to marketers and consumers in that it has many strategic benefits in contributing to profitability of marketing activities and consumers' problem-solving activities. Moreover, despite the phenomenal growth of physical fitness centers little research has focused on the evaluation of service quality from exercisers' perspectives. The major purpose of this article is to explore the concept of two-factor model and its influences on exerciser's perception of quality. This article attempts to achieve its purpose by (1)classfying critical service attibutes into hygiene factors and satisfiers (2) measuring the relative importance of need criteria (3) evaluating SERVPERF model and SERVQUAL model in service sector and (4)identifying the relationship between overall satisfaction and behavior. In explaining the relationship between perceived performance and overall satisfaction only 27 out of original 33 survey items were appreared to be statistically significant. Hence a penalty-reward analysis was performed on these critical attributes to find out 11 satisfiers and 9 hygiene factors. In addition, it was found that only experience-based norms(SERVPERF model) were more appropriate than expectations to serve as a benchmark against which service experiences were compared(SERVQUAL model). However it must be noted that the degree of association to overall satisfaction was not consistent.
Although the success of industrial clusters largely depends on whether clustering firms can achieve economic performance, there has been less attention on investigating factors and conditions contributing to the performance enhancement for clustering small and medium-sized enterprises (SMEs). Along this vein, we adopt the theories of social capital and organizational learning as those success factors for clustering SMEs. This study thus aims at examining what effect social capital accrued in the relationships among actors within clusters has on firm performance of clustering SMEs and what role organizational learning plays in the linkage between social capital and firm performance. For the empirical analysis, we operationalized the variables and their measures to develop questionnaires through the theoretical reviews on literatures. As a sample of 227 clustering SMEs, our collected data was analyzed by hierarchical regression analysis. The results confirmed that a high level of social capital, represented by network, trust, and norm, has positive effect on firm performance of clustering SMEs. We also found that clustering firms presenting high organizational learning, represented by absorptive and transformative capability, achieve better performance than those placing less value on organizational learning. Furthermore the significant relationship between social capital and firm performance is mediated partially through organizational learning. These findings imply not only that the territorial agglomeration of industrial cluster does not guarantee the performance creation of clustering SMEs but that they need to develop social capital among various actors within clusters, facilitating their knowledge diffusion. In order to absorb and mobilize the shared knowledge and information into strategic resources, the firms should improve their capability associated with organizational learning. These expand our understanding on the importance of social capital and organizational learning for the performance enhancement of clustering firms. Differentiating from major studies addressing benefits and advantages of industrial cluster, this study based on the perspective of firm-internal business process contributes to the literature advancement. Strategic and policy implications of this study are discussed in detail.
Objective: The purpose of this study is to investigate the effect of personality type on human performance tool compliance in nuclear power plants (NPPs) and to propose general recommendations for an enhancement of its practical utilization. Background: Various guidelines, regulating criteria, and recommendations have been developed to prevent human errors in NPPs. Despite these efforts, the accidents sometimes caused by human errors have steadily occurred, and therefore, various human performance tools have been adopted as countermeasures against human errors. The major and inevitable contributing factors among the many hazards to human errors might be the trait and personality, which are considered to be the inner world of humans. Thus, we try to investigate the utilization of human performance tools by considering the different types of operating crew personalities, and we suggested more practical recommendations to prevent human errors according to the personality. Method: We developed the Questionnaire using the Big 6 (HEXACO) models, which are human performance tools for workers in NPPs, and individual (condition) variables to investigate the effect of personality types on human performance tools. We slightly modified them to help the survey respondents understand them better. A survey was conducted for ordinary people over the age of 20. SPSS 22.0 was used to perform a correlation analysis and a hierarchical regression analysis to find the relationship between personality types and human performance tools. Results: The utilization of human performance tools shows significant differences statistically by personality. The correlation result reveals that the types of Honesty (H), Extraversion (X), Conscientiousness (C), and Openness to experience (O) show a higher utilization of human performance tools. In hierarchical regression results, human performance tools of task preview, questioning attitude, stopping when unsure, self-checking, effective communication, and place-keeping show a higher utilization with personality types. However, the Agreeableness (A) type did not show significant differences statistically with human performance tools. Conclusion: We tried to investigate the utilization of human performance tools by considering the different types of human personality and provide more practical recommendations to prevent human errors according to the personality. These results will be able to prevent human errors owing to the characteristics (advantages and disadvantages) of personality types. Application: This information can be utilized as guidelines for proactive recommendations according to the workers' personalities for more practical human performance tools to prevent human errors in an NPP.
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