• Title/Summary/Keyword: Value Model

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Causal Relationships among Quality, Service Value, Satisfaction and Loyalty (의료서비스 품질, 서비스 가치, 고객만족 및 고객충성도 간의 인과관계)

  • Yom, Young-Hee;Lee, In-Ja
    • Journal of Korean Academy of Nursing Administration
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    • v.16 no.4
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    • pp.497-506
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    • 2010
  • Purpose: The purpose of this study was to examine the causal relationships among quality of health care service, service value, satisfaction and loyalty as perceived by hospital inpatients. Methods: A survey using a structured questionnaire was conducted with 654 hospital inpatients. Analysis of the data was done with both SPSS Win 17.0 for descriptive statistics and AMOS 18.0 for the structural equation model. Results: The modified model yielded Chi-square=7.96 (p=.019), df=2, $x^2$/df=3.98, GFI=.99, AGFI=.96, RMSEA=.07, NFI=.99, CFI=.99, TLI=.98 and showed good fit indices. Three dimensions of quality had significant direct effects on service value. Functional quality, technical quality and service value had significant direct effects on customer satisfaction. Technical quality, service value, and customer satisfaction had significant direct effects on customer loyalty. Conclusion: These results suggest that quality of health care is an important element in service value, and through both quality and service value, customer satisfaction and customer loyalty can be enhanced. Further study with a larger sample from various hospitals and a longitudinal design is necessary.

An Empirical Study on Individual and Social Commerce Factors Impacting Shopping Value and Intention to Repurchase in Social Commerce and Moderating Effects of Perceived Security (소셜커머스의 쇼핑 가치와 재구매의도에 영향을 미치는 개인 및 소셜커머스 특성과 지각된 보안의 조절효과에 대한 연구)

  • Kim, Sanghyun;Park, HyunSun
    • Journal of Information Technology Services
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    • v.12 no.2
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    • pp.31-53
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    • 2013
  • Web 2.0 has affected existing e-commerce and created a new business model of e-commerce, known as social commerce. Social commerce is a subset of e-commerce using social network services and is emerging as an important platform due to increased popularity of social networking services. This study focuses on analyzing the factors that influence the shopping value and intention to repurchase of social commerce users. Based on prior researches, we develop a research model, including individual characteristics of social commerce users (Collectivism, Price Sensitivity, Impulse Buying) and social commerce characteristics (Cost saving, Product Variety, Shopping Convenience). Furthermore, this study proposed the moderating effect of Perceived Security and the relationship between shopping value and intention to repurchase. To empirically validate, the data were collected from 220 social commerce users. The results indicated that individual characteristics (collectivism, price sensitivity, impulse buying) were positively related to hedonic shopping value. In addition, social commerce characteristics (cost saving, shopping convenience) were positively related to utilitarian value. The shopping value(hedonic and utilitarian) had a significant influence on intention to repurchase. The moderating effects of perceived security also was significant. Lastly, the implications for theory and practice are discussed.

The Effects of Sustainable Tax Strategies on Value Relevance (조세전략의 지속가능성이 회계정보의 가치관련성에 미치는 영향)

  • Ma, Hee-Young
    • Asia-Pacific Journal of Business
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    • v.9 no.3
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    • pp.71-82
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    • 2018
  • This study verifies whether the sustainable tax strategy provides unique information on earnings persistence and brings about the difference of value relevance of accounting information. Sustainability is measured by the 5-year coefficient of variation in cash ETR, such as in McGuire et al.(2013), which measures variability in long-term performance of tax avoidance. The value relevance of accounting information in this study is modified by the Ohlson model(1995), which explains the value of the firm by using accounting information such as net assets and net income and other non-accounting information. The samples of this study are the firms listed on the securities market from 2004 to 2015 and the final samples are 3,133 firm-year. The results of this empirical analysis show that the value relevance of accounting information increases as firms have long-term and sustainable tax strategies. Most of the prior studies on tax strategies have examined the tax minimization strategy that minimizes the tax cost. However, this study is different in that the sustainability of the tax strategy affects the value relevance of accounting information. The results of this study will be useful for the users to make decision using the value relevance of accounting information.

The Impact of Capital Structure on Firm Value: A Case Study in Vietnam

  • LUU, Duc Huu
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.287-292
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    • 2021
  • The article analyzes the impact of capital structure on the firm value of chemical companies listed on the stock market of Vietnam. Data was collected from the financial statements of 23 chemical firms listed on the Vietnam stock market from 2012 to 2019. Quantitative research method with regression model according to OLS, FEM, REM method is used; FGLS method is used to overcome the model's defects. In this research, firm value (Tobin's Q) is a dependent variable. Capital structure (DA), Return on assets (ROA), Asset turnover (AT), fixed assets (TANG), Solvency (CR), Firm size (SZ), Firm Age (AGE), and revenue growth rate (GR) are independent variables in the study. The analysis results show that the capital structure of firms in the chemical industry listed on the Vietnam stock market has an inverse correlation with firm value. Besides, firms with greater asset turnover, business size, and number of years of operation have lower firm value. This article helps corporate executives improve corporate value by adjusting their capital structure properly. Chemical firms adjusted their capital structure in the direction of gradually decreasing the debt ratio and gradually increasing equity. Firms use high debt, which has the effect of reducing the firm value of firms in the chemical industry.

The influence of the perceived value of product pages information of online tea shop on consumers' purchase intention

  • Dongxu ZHANG;Wenyuan HU;Na ZHENG;Zhi QIAO
    • The Korean Journal of Food & Health Convergence
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    • v.9 no.3
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    • pp.1-9
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    • 2023
  • Nowadays, with the development of the internet and e-commerce, opening tea shops online has become an increasing choice for selling tea. However, the product page information of many online tea shops cannot effectively attract consumers, resulting in their profits being compromised. To investigate this, we conducted this paper and hope to provide effective suggestions. This paper is based on 229 questionnaires and selects the product page information of online tea shops as the research object. Using the four dimensions of perceived value theory as independent variables with consumer purchase intention as the dependent variable. A structural equation model was constructed to analyze the role of the perceived value of product page information in online tea shops how influencing consumers' purchase intentions. It was found that information on the perceived functional value of online tea shops did not have a significant positive effect on consumer purchase intentions. However, information on the perceived monetary value, perceived social value, and perceived emotional value of online tea shops had a significant positive impact on consumers' purchase intentions. Based on the above conclusions, online tea shops should focus on the expression of product page information to enhance the level of consumers' perceived value of tea products, thereby enhancing their intention to purchase tea products.

A Study on the Effect of TikTok Advertising's Informativeness, Interactivity, and Impediment on Brand Attitude: Centered on the Mediated Effect of Utilitarian Value and Hedonic Value (틱톡 광고의 정보성, 상호작용성, 방해성이 브랜드 태도에 미치는 영향에 관한 연구: 실용적 가치와 헤도닉 가치의 매개효과를 중심으로)

  • Qin, PengFei;Kwon, Sundong
    • Journal of Information Technology Applications and Management
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    • v.28 no.6
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    • pp.45-67
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    • 2021
  • Snack culture, which can be easily enjoyed and consumed in a short period of time just like eating sweets, is spreading rapidly. Among them, TikTok is gaining popularity mainly among the MZ generation, and TikTok is rapidly emerging as a means of advertising or marketing. In this study, we studied the effect of TikTok Advertising's informativeness, interactivity, and impediment on brand attitudes. Previous studies have suggested that brand attitudes are formed through usefulness. However, this study divided usefulness into utilitarian value and hedonic value, and proved that brand attitudes are formed through these mediation variables. This is because of the TikTok advertising includes entertainment as well as usefulness. Therefore, this study established and verified the model in which informativeness, interactivity, and impediment of TikTok advertising form brand attitude through utilitarian value and hedonic value. In order to verify this research model, survey questionnaires were distributed to TikTok users and a total of 220 data samples were collected and analyzed. As a result of data analysis, informativeness and interactivity have a positive effect on utilitarian value and hedonic value, but impediment has a negative effect. In addition, informativeness, interactivity, impediment influenced brand attitudes through practical value and hedonic value, not directly influencing brand attitudes. This study is meaningful in that it suggests a marketing strategy that can further enhance brand attitude by considering utilitarian value and hedonic value simultaneously, rather than focusing on either utilitarian value or hedonic value.

"Word of Mouth" in the Chain Restaurant Industry (체인 레스토랑 산업에서 고객의 '구전 효과' 형성에 관한 연구)

  • Hyun, Sung-Hyup;Heo, Cindy Yoon-Joung
    • Journal of the East Asian Society of Dietary Life
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    • v.20 no.4
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    • pp.606-618
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    • 2010
  • The study investigated how 'word of mouth' originates in the chain restaurant industry. It has long been acknowledged that 'word of mouth' is a critical factor for the success of a restaurant business due to its targetability and cost effectiveness. A review of the literature revealed four antecedents of 'word of mouth': service quality, perceived value, satisfaction, and relationship quality. Based on the theoretical/empirical relationships between those constructs, a structural model composed of the hypotheses was proposed. The structural model was tested with data collected from 471 chain restaurant patrons. The structural equation modeling analysis revealed that five constructs in the proposed model are interrelated, and during this process, word of mouth is formed in the chain restaurant industry. A positive relationship between service quality and satisfaction (0.265, p<0.05), service quality and perceived value (0.831, p<0.05), service quality and relationship quality (0.465, p< 0.05), and service quality and WOM (0.263, p< 0.05) were found, indicating that service quality is a key prerequisite for word of mouth and other constructs proposed in the model. It was revealed that perceived value doe not have a direct impact on WOM formation (t=1.275, p=0.202), but a positive relationship between perceived value and satisfaction (0.293, p<0.05) and between satisfaction and WOM (0.627, p< 0.05) were found. Therefore, it was concluded that patrons' perceived value influences word of mouth formation, but that impact is mediated by satisfaction. During this process, relationship quality also plays a mediating role in generating word of mouth. Based on data analysis, theoretical/managerial implications are discussed.

Comparison Study of Parameter Estimation Methods for Some Extreme Value Distributions (Focused on the Regression Method) (극단치 분포의 모수 추정방법 비교 연구(회귀 분석법을 기준으로))

  • Woo, Ji-Yong;Kim, Myung-Suk
    • Communications for Statistical Applications and Methods
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    • v.16 no.3
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    • pp.463-477
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    • 2009
  • Parameter estimation methods such as maximum likelihood estimation method, probability weighted moments method, regression method have been popularly applied to various extreme value models in numerous literature. Among three methods above, the performance of regression method has not been rigorously investigated yet. In this paper the regression method is compared with the other methods via Monte Carlo simulation studies for estimation of parameters of the Generalized Extreme Value(GEV) distribution and the Generalized Pareto(GP) distribution. Our simulation results indicate that the regression method tends to outperform other methods under small samples by providing smaller biases and root mean square errors for estimation of location parameter of the GEV model. For the scale parameter estimation of the GP model under small samples, the regression method tends to report smaller biases than the other methods. The regression method tends to be superior to other methods for the shape parameter estimation of the GEV model and GP model when the shape parameter is -0.4 under small and moderately large samples.

An Empirical Study on the Economic Value to Eulsukdo based on SB-DC CVM (단일양분형 가상가치평가법을 이용한 을숙도 가치추정)

  • Joo, Soo Hyeon;Lee, Sun Young;Kim, Young Pyo
    • International Area Studies Review
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    • v.14 no.2
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    • pp.3-23
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    • 2010
  • The purpose of the study is to estimate value of the Eulsukdo that is attracting lots of birds. Eulsukdo became one of the most famous eco-tourism destinations worldwide and environmental restoration work is progressing with enormous budget. The input of the budget by policy judgement basically can be justified when the benefit excesses the cost in social aspect. Eulsukdo has external effect as cultural tourism resource but it is difficult to estimate the value in market. The study is to estimate the value of Eulsukdo through the single-bounded dichotomous CVM(Contingent Valuation Methods). According to analysis results, the mean WTP(Willingness to Pay) and the truncated mean WTP are estimated at 5,240 and 3,374 won in the log-normal model, and 5,888 and 3,232 won in the log-logistic model respectively. The annual total benefits value based on the truncated mean WTP is estimated at 3,870 million won in the log-normal model and 4,040 million won in log-logistic model. The result of this study will provide useful guide to policy makers and developers who fully realize the value of public goods.

A Study on the Intention to use the Artificial Intelligence-based Drug Discovery and Development System using TOE Framework and Value-based Adoption Model (TOE 프레임워크와 가치기반수용모형 기반의 인공지능 신약개발 시스템 활용의도에 관한 실증 연구)

  • Kim, Yeongdae;Lee, Won Suk;Jang, Sang-hyun;Shin, Yongtae
    • Journal of Information Technology Services
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    • v.20 no.3
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    • pp.41-56
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    • 2021
  • New drug discovery and development research enable clinical treatment that saves human life and improves the quality of life, but the possibility of success with new drugs is significantly low despite a long time of 14 to 16 years and a large investment of 2 to 3 trillion won in traditional methods. As artificial intelligence is expected to radically change the new drug development paradigm, artificial intelligence new drug discovery and development projects are underway in various forms of collaboration, such as joint research between global pharmaceutical companies and IT companies, and government-private consortiums. This study uses the TOE framework and the Value-based Adoption Model, and the technical, organizational, and environmental factors that should be considered for the acceptance of AI technology at the level of the new drug research organization are the value of artificial intelligence technology. By analyzing the explanatory power of the relationship between perception and intention to use, it is intended to derive practical implications. Therefore, in this work, we present a research model in which technical, organizational, and environmental factors affecting the introduction of artificial intelligence technologies are mediated by strategic value recognition that takes into account all factors of benefit and sacrifice. Empirical analysis shows that usefulness, technicality, and innovativeness have significantly affected the perceived value of AI drug development systems, and that social influence and technology support infrastructure have significant impact on AI Drug Discovery and Development systems.