Chiehyeon Lim, Min-Jun Kim, Ki-Hun Kim, Kwang-Jae Kim and Paul Maglio
The proliferation of customer-related data provides companies with numerous service opportunities to create customer value. The purpose of this study is to develop a framework to…
Abstract
Purpose
The proliferation of customer-related data provides companies with numerous service opportunities to create customer value. The purpose of this study is to develop a framework to use this data to provide services.
Design/methodology/approach
This study conducted four action research projects on the use of customer-related data for service design with industry and government. Based on these projects, a practical framework was designed, applied, and validated, and was further refined by analyzing relevant service cases and incorporating the service and operations management literature.
Findings
The proposed customer process management (CPM) framework suggests steps a service provider can take when providing information to its customers to improve their processes and create more value-in-use by using data related to their processes. The applicability of this framework is illustrated using real examples from the action research projects and relevant literature.
Originality/value
“Using data to advance service” is a critical and timely research topic in the service literature. This study develops an original, specific framework for a company’s use of customer-related data to advance its services and create customer value. Moreover, the four projects with industry and government are early CPM case studies with real data.
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Chiehyeon Lim, Min-Jun Kim, Ki-Hun Kim, Kwang-Jae Kim and Paul P. Maglio
The proliferation of (big) data provides numerous opportunities for service advances in practice, yet research on using data to advance service is at a nascent stage in the…
Abstract
Purpose
The proliferation of (big) data provides numerous opportunities for service advances in practice, yet research on using data to advance service is at a nascent stage in the literature. Many studies have discussed phenomenological benefits of data to service. However, limited research describes managerial issues behind such benefits, although a holistic understanding of the issues is essential in using data to advance service in practice and provides a basis for future research. The purpose of this paper is to address this research gap.
Design/methodology/approach
“Using data to advance service” is about change in organizations. Thus, this study uses action research methods of creating real change in organizations together with practitioners, thereby adding to scientific knowledge about practice. The authors participated in five service design projects with industry and government that used different data sets to design new services.
Findings
Drawing on lessons learned from the five projects, this study empirically identifies 11 managerial issues that should be considered in data-use for advancing service. In addition, by integrating the issues and relevant literature, this study offers theoretical implications for future research.
Originality/value
“Using data to advance service” is a research topic that emerged originally from practice. Action research or case studies on this topic are valuable in understanding practice and in identifying research priorities by discovering the gap between theory and practice. This study used action research over many years to observe real-world challenges and to make academic research relevant to the challenges. The authors believe that the empirical findings will help improve service practices of data-use and stimulate future research.
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Noel Scott, Brent Moyle, Ana Cláudia Campos, Liubov Skavronskaya and Biqiang Liu
Wonseok (Eric) Jang, Young Jun Kim, Kyungro Chang and Taehee Kim
Based on the limited-capacity model of motivated mediated message processing (LC4MP), this study aims to examine the effects of different camera types on the viewing experiences…
Abstract
Purpose
Based on the limited-capacity model of motivated mediated message processing (LC4MP), this study aims to examine the effects of different camera types on the viewing experiences of sports consumers and their intention to follow social media channels, depending on their level of sports involvement.
Design/methodology/approach
The design for this experiment utilized 2 (highly involved vs less involved sports consumers) × 2 (high-tech vs non-high-tech cameras) between-subjects design. Overall, 289 US-based sports consumers participated in this experiment.
Findings
The results indicate that sports videos recorded by high-tech cameras lead to greater perceived novelty than those recorded by non-high-tech cameras, thus enhancing sports consumers' intention to follow social media channels, especially when consumers are highly involved with the target sports. However, sports consumers who are less involved with particular sports become distracted during their viewing experiences when high-tech cameras are used to broadcast games; these consumers' intentions to follow social media channels are not strengthened.
Originality/value
Previous studies have focused mainly on the positive effects of high-tech cameras on the viewing experiences of sports consumers. Based on the LC4MP, the authors extend the existing literature not only by examining the mechanism that underpins the positive effects of high-tech cameras, but also by identifying a situation where the use of high-tech cameras results in a negative viewing experience for sports consumers.
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Hyeon-Wuk Tae, Ung-Gi Seo, Bong-Gyu Jang, Jun Kim, Jong-Hyuk Roh and Seryoong Ahn
This paper introduces a basic model and an extended model to evaluate the pass-through mortgage-backed securities (MBS) recently issued by Korea Housing Finance Corporation. The…
Abstract
This paper introduces a basic model and an extended model to evaluate the pass-through mortgage-backed securities (MBS) recently issued by Korea Housing Finance Corporation. The basic model assumes that the processes of interest rates, prepayment rates, and option-adjusted spreads have simple forms, of which parameters can be easily estimated by the market data available today. This paper presents the pricing formula on the basic model and the demonstrations under the present market data. We also suggest an extended model, a new but complicated model for pricing pass-through MBS, in which the interest rates and prepayment rates follow stochastic processes, and the option-adjusted spread is decomposed into one from refinancing and the other from mortgage turnover. However, since this kind of pass-through MBS has been traded in Korean financial market only recently, the market parameters in the extended model are not able to be estimated properly. We, instead, develop the pricing formula under the extended model and present the process of estimation of the parameters of the model. The participants in Korean MBS market can price the pass-through MBS for now under the basic model with limited set of data available, and later, when the market data is accumulated enough to estimate the parameters properly, they can take advantage of the extended model.
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Jun Sik Kim and Sol Kim
This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications…
Abstract
This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications, citations, impact factors, and centrality indices grew up in early 2010s, and diminished in 2020. Keyword network analysis reveals the JDQS's main keywords including behavioral finance, implied volatility, information asymmetry, price discovery, KOSPI200 futures, volatility, and KOSPI200 options. Citations of JDQS articles are mainly driven by article age, demeaned age squared, conference, nonacademic authors and language. In comparison between number of views and downloads for JDQS articles, we find that recent changes in publisher and editorial and publishing policies have increased visibility of JDQS.
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Su Jeong Lee, Young Jun Kim, Eugenia Y. Lee and Ga-young Choi
Convertible instruments are financial instruments embedded with conversion rights such as convertible bonds or convertible preferred stocks. Under the Korean International…
Abstract
Convertible instruments are financial instruments embedded with conversion rights such as convertible bonds or convertible preferred stocks. Under the Korean International Financial Reporting Standards (K-IFRS), the embedded conversion rights with certain conditions (i.e., a refixing clause) are recognized as derivative liabilities and are recognized at fair value in issuer’s financial statements. Since the value of convertible rights varies with the underlying stock value, an increase in the issuers’ stock price causes the issuers of convertible instruments to announce large derivative valuation losses. Using disclosures under the title of ‘Loss from Derivatives Trading’ from the KOREA EXCHANGE (KRX) during January 2016 through December 2019, this study examines market reactions to the disclosure of valuation losses on conversion rights embedded in convertible instruments. We find the following results. First, abnormal stock returns on the loss announcement date are significantly negative. Second, abnormal trading volumes peak on the loss announcement date. Third, abnormal stock returns persist in the long-term. Collectively, our findings suggest that investors perceive the loss disclosures as negative news, but fail to impound the information into issuer’s stock prices effectively. This study emphasizes the importance of education on convertible instruments and improvement in the disclosure requirements on valuation losses of conversion rights embedded in convertible instruments by providing evidence that investors face difficulty in understanding the related disclosures.
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This paper investigates the effect of the short sale ban by the Korean government on the relationship between the disagreement among investors and the future stock returns. Short…
Abstract
This paper investigates the effect of the short sale ban by the Korean government on the relationship between the disagreement among investors and the future stock returns. Short selling in Korean stock market was banned twice in 2008 and 2011. The short sale ban provides a natural experiment environment to study the effect of the short sale constraints on the relationship between the disagreement among investors and the future stock returns. Furthermore, it is an exogenous shock in the point of individual stocks. Thus, this paper focus on short sale ban periods to analyzes the stock return predictability of the disagreement among investors’ opinions about analysts’ earnings forecasts. Main results of this paper are as follows: First, the portfolio within the top 30% of the disagreement among investors experiences the significantly higher returns than that within the bottom 30% of the disagreement only during short sale ban periods. However, the two portfolio returns are not significantly different during the other periods excluding the short sale ban periods. These results are robust even after controlling for firm sizes, boot to market ratios, and the momentum effects. Second, a portfolio with higher the disagreement among investors presents significantly positive abnormal returns estimated by Fama-French’s three factor model during short sale ban periods. On the other hand, the abnormal returns of the portfolio with lower the disagreement among investors are not significantly different from zero. Furthermore, those returns of the portfolio with lower disagreement are not affected by the short sale ban. Finally, our findings show that individual stock returns are positively related to disagreement after controlling for the characteristics of individual stocks. Consequentially, the stocks with higher disagreement are overvalued during the short sale ban periods according to our robust empirical analyses with various control variables. According to our findings, we conclude that the short sale constraints are important factors to determine the predictability of disagreement on future stock returns. These are consistent with the results of short sale ban on the U.S. stock market from Autore, Billingsley, and Kovacs (2011).
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In Kampen et al.(2008), Monte Carlo estimators obtained by the WKB (Wentzel, Brillouin, Kramers) approximation had better results than Monte Carlo estimators obtained by the…
Abstract
In Kampen et al.(2008), Monte Carlo estimators obtained by the WKB (Wentzel, Brillouin, Kramers) approximation had better results than Monte Carlo estimators obtained by the lognormal approximation for European swaptions and Bermudan swaptions. We compare the WKB estimators with the lognormal estimators and the pathwise derivative estimators for ratchet caplets and sticky caplets with various maturities. The results show that the WKB estimators have similar performance compared with the lognormal estimators and the pathwise derivative estimators for ratchet caplets. However, the WKB estimators show worse performance than both the lognormal estimators and the pathwise derivative estimators for sticky caplets. These results indicate that the WKB estimators would be hard to substitute for the lognormal estimators for various derivatives.
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Sun-Joong Yoon and Jun Sik Kim
This study aims to examine the return predictability of variance risk premium, which is defined as the difference between risk-neutral variance and expected realized variance, on…
Abstract
This study aims to examine the return predictability of variance risk premium, which is defined as the difference between risk-neutral variance and expected realized variance, on KOSPI 200 index returns. Although extant literature shows that variance risk premium estimated from U.S. index options has a predictive power on underlying returns, little study has been conducted in KOSPI 200 index returns. In addition, there is no conclusion for the predictive power of variance risk premium in other financial markets. In this paper, we can find the predictive power of S&P500 variance risk premium on KOSPI200 index returns as well as on S&P500 index returns, but cannot find the predictive power of KOSPI200 variance risk premium on both indices. These results are consistent to Londono (2012) and Bollerslev et al. (2013). The poor performance of KOSPI200 variance risk premium is explained by the assumption that U.S. economy is a leader economy, while Korea economy is a follower economy. To support this conclusion, we conduct Vector Auto-Regression (VAR) using two variance risk premiums. Two premiums have bi-directional lead-lag relationship but S&P500 variance risk premium is informationally superior to KOSPI200 variance risk premium regarding return predictions.