bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of work authenticity in linking strengths use to career satisfaction and proactive behavior: a two-wave study
Authors: Matsuo Makoto 
Published: September 2020

PurposeAlthough positive psychology asserts that authenticity comes from identifying and using our strengths, no quantitative research has been conducted to test that relationship. This study aims to examine the mediating role of work authenticity in linking strengths use to career satisfaction and proactive behavior.Design/methodology/approachUsing a two-wave survey with nurses in two large, acute hospitals in Japan (n = 298), a structural equation model was produced.FindingsThe results show that work authenticity fully mediated between strengths use and career satisfaction, and that work authenticity partially mediated between strengths use and proactive behavior.Research limitations/implicationsAs work authenticity, career satisfaction and proactive behavior were measured at time 2, it is desirable to conduct a three-wave survey to measure these variables separately in future research.Practical implicationsIt may be imperative to recognize that employees who use their strengths are satisfied with their careers only by enhancing authenticity at work.Originality/valueThe main contribution of this study was to identify the mediating role of work authenticity in linking strengths use to both career-related well-being and proactive work behaviors.
Construct validity of public service motivation in India: a comparison of two measures
Authors: Gupta Rajneesh , Dash Sanket , Kakkar Shiva , Yadav Ramashankar 
Published: September 2020

PurposePublic service motivation (PSM) is a universal construct, but indigenous traditions and culture of a country are known to influence its measurement. Currently, no research on PSM in India is available. To facilitate PSM research in India, this article compares the two most used measures of PSM (PSM-14 and PSM-16) to identify the most suitable scale for further exploration.Design/methodology/approachThe study uses a cross-sectional survey research design. Data were collected from 387 employees working in the public sector. ADANCO, a PLS-SEM package, was used to analyze the data.FindingsContrary to expectations, it was found that the older PSM-14 exhibited better psychometric properties than the newer PSM-16. The PSM-14 also exhibited greater predictive validity than PSM-16.Practical implicationsThe study demonstrates that PSM is a valid construct in India and can be measured adequately by existing instruments. However, certain sub-dimensions of the scale (such as compassion) may be reworded/changed to reflect Indian cultural ethos better.Originality/valueThe findings will be tremendously helpful to researchers interested in examining the correlates of PSM in the Indian context by making it easier to select the appropriate measurement instrument. The study also provides a careful examination of each of the sub-dimensions of the construct to enable the development of more robust PSM measures in the future.
Sport attendance behavior spectrum: motivators, constraints and context
Authors: Mayer Kurt C. , Hungenberg Eric 
Published: September 2020

PurposeThe purpose of this paper was to explore a new sport attendance behavior spectrum framework where sport consumer behavior is not derived from just a dichotomy of a motivator positively impacting attendance or a constraint negatively impacting attendance. Rather, when accounting for the context of the setting (e.g. sport, playing level, locality, patron type, etc.), some areas belong on a spectrum that fluctuates between positive and negative impacts on attendance that are dependent on the context of the given environment.Design/methodology/approachThrough factor analysis and structural equation modeling, the proposed model attempted to explain relationships between five second-order factors and game attendance, which expanded to include the new internal contextual and external contextual factors, and ultimately team fandom.FindingsThe results indicated three significant main effects where internal contextual exhibited a positive relationship with attendance, while constraints and external contextual demonstrated a negative relationship. Internal and external motives were not significant. Further, the moderating effect of high and low sport interest groupings largely indicated no significant spectator differences. The model explained 24% of the variance in attendance, and attendance accounted for 41% of the variance in team fandom.Originality/valueAttendance is intricate, and this study highlighted the importance of considering and adapting to the sporting context as some factors exist on a sport attendance behavior spectrum and differently impact spectators positively or negatively, given the context of the setting. Further, in this lower-level sport setting, consumers viewed minor league hockey more as a leisure commodity than a premier sport contest.
Three-way interaction effect of social media usage, perceived task interdependence and perceived participative leadership on employee creativity
Authors: Chen Lifan , Zheng Bowen , Liu Hefu , Deng Manting 
Published: September 2020

PurposeDespite the growing use of social media in many organizations, managers face the challenges of how to effectively manage social media usage (SMU) in the workplace to ensure employee creativity. This study combined task-technology fit theory and the interactional perspective of employee creativity to understand the three-way interaction of SMU, perceived task interdependence, and perceived participative leadership on employee creativity.Design/methodology/approachA questionnaire survey was designed to test our hypotheses. The sample consisted of employees who use social media in the workplace. A total of 402 valid questionnaires were used for the hierarchical regression analysis.FindingsSMU had the strongest positive relationship with creativity when perceived task interdependence and perceived participative leadership were high. However, we did not find two-way interaction effects of SMU and perceived task interdependence on employee creativity.Originality/valueOur findings are aligned with the emergent view that the benefits of SMU can be better realized when it coexists with a set of complementary team contextual factors. The current study helps extend the contingency perspective and related studies in social media literature and employee creativity research.
Estimating and Forecasting the Term Structure of Korea Markets Using the Nelson-Siegel Model
Authors: Lee Joon Haeng 
Published: September 2020

This paper estimates and forecasts yield curve of korea bond market using a three factor term structure model based on the Nelson-Siegel model. The Nelson-Siegel model is in-terpreted as a model of level, slope and curvature and has the flexibility required to match the changing shape of the yield curve. To estimate this model, we use the two-step estima-tion procedure as in Diebold and Li. Estimation results show our model is Quite flexible and gives a very good fit to data.
To see the forecasting ability of our model, we compare the RMSEs (root mean square error) of our model to random walk (RW) model and principal component model for out-of sample period as well as in-sample period. we find that our model has better forecasting performances over principal component model but shows slight edge over RW model especially for long run forecasting period. Considering that it is difficult for any model to show better forecasting ability over the RW model in out-of-sample period, results suggest that our model is useful for practitioners to forecast yields curve dynamics.
A Study on the Market Price of Weather Risk in Pricing Weather Derivatives
Authors: Bae Kwang-Il , Choung Jin Hee 
Published: September 2020

The weather largely affects economic activity, and thus, companies vulnerable to weather risk need to plan ahead to cope with unexpected weather changes, just as they do for changes in interest rates, oil prices, or foreign exchange rates to stabilize their earning stream. Weather derivatives can be a useful tool for weather risk management.
This paper focuses on pricing one of the most popular weather derivatives -HDD/CDD options- and estimating the market price of weather risk (MPR). Historical data are used to construct the stochastic process of temperature, while the current market prices of Chicago and New York HDD futures options are used to extract the implied MPR. The Monte-Carlo Simulation Method is proposed to estimate the price of weather derivatives numerically. In addition, the approximate closed form formula for the options is provided modifying the Alaton, Djehiche, and Stillberg (2002) model. Finally, option price sensitivity to changes in MPR is analyzed to show the important role of the MPR in the weather option pricing model.
An Event Study on the Effects of North Korea Risks on South Korea‘s Stock Market
Authors: Lee Inho , Yoo Shiyong 
Published: September 2020

There have always been North Korea Risks in South Korea stock market since its opening. Some studies have concluded that it does not have a substantial impact on South Korea’s economy due to chronic geopolitical risks, while others have argued it has had an impact. However, in light of the Efficient Market Hypothesis (EMH) it can be argued that both opinions view that information about North Korea Risks affects stock markets and that stock prices react to it. This study analyzed the effects of North Korea Risks on South Korea’s stock market using event study methodology empirically, and it tested the semi-strong EMH-a market in which prices always fully reflect available information. The research results are following:
First of all, North Korea Risks have an impact on South Korea’s stock market and the data was statistically significant. In particular, stock market already reflected information about the forewarned events like nuclear test. However, market also responded to information about sudden events such as the impact of Kim Jung-il’s death on the South-North economic cooperation stock. Portfolio analysis demonstrated that small capital stocks were affected more than large caps. These results cannot reject the EMH.
Also, estimates of market model and that of Fama-French three-factor model did not show a statistically significant difference in different verification. There was no statistically significant difference between growth and value stock in large caps portfolio either. However, there was a statistically significant difference between defense stock and South-North economic cooperation stock, small caps and big caps, and weighted average and simple average.
The significance of this study lies in that it conducted the event study by variety estimation model with objective standards for selecting events when measuring the effect of North Korea Risks.
The Effect of Information Asymmetry and CRA’s Reputation on Bond Yield Spread
Authors: Jung Yun Yeong , Park Rae Soo 
Published: September 2020

This paper investigates the effects of information asymmetry and Credit Rating Agency's reputation on bond yield spread, which is caused by the split bond rating of CRAs. For analysis, We do multivariate analysis, using bond rating and bond yield spread data in Korea from 2004 to 2015. The empirical results are as follows.
First, we examines whether information asymmetry affects the bond yield spread. using split rating data. As a result, the information asymmetry measured by split rating variable is significant, which supports the information asymmetry hypothesis. Additionally we can find bond yield spread is decided by negative credit grade rather than positive credit grade under split rating condition.
Next, we examines the relationship between the CRA’s reputation and the bond yield spread in case of split rating. Here, samples were divided into full samples and split rating samples. Summarizing the result, both samples are suggest similar result, the bond yield spread is changed depending on the specific CRA’s grading which having conservative rating tendency.
Thus, This result suggest information asymmetry caused by split rating and CRA’s reputation measured by CRA’s rating tendency affect bond yield spread in Korea
Long Term Volatility of Interest Rate Swap and Macroeconomic Risk in Korean Market
Authors: Yoon Byung-Jo , Chang Kook-Hyun , 민구 홍 
Published: September 2020

This paper tries to empirically investigate whether macroeconomic risk may be statistically useful in explaining long-term volatility of interest rate swap (IRS) in korean market. This paper uses the component-jump model to estimate long-term volatility of IRS from 1/2/2003 to 1/31/2013.
By using the component-jump model, the IRS volatility is decomposed into a long-term and a short-term component. According to this study, slope of yield curve and foreign exchange volatility as a proxy of macroeconomic risk have been significant in explaining long-term volatility of IRS.
The Effects of Increasing Option Multiplier on the Arbitrage Efficiency in KOSPI 200 Futures and Options Markets
Authors: Choi Byungwook 
Published: September 2020

This study examines put-call-futures parity in KOSPI 200 index futures and options markets for the sampling period between January of 2011 and December of 2013 in order to investigate whether option multiplier increasing affects on the arbitragee efficiency of an index option market and permanent relationship between futures and options markets by analyzing minute by minute historical index option and future intraday trading data.
What we find is that the arbitrage opportunities associated with put-call-futures parity increase to 5.16% from 1.75% after increasing option multiplier. Although there is no significant change of discrepancies in ATM options, a slight decrease of mispricing is found in the moneyness where call option is OTM. It turns out, however, that the arbitrage opportunities increase by 3.4 times in the moneyness below 0.97 or above 1.03, after increasing multiplier. Also ex-ante analysis shows that most of arbitrage opportunities disappear within one minute, but the speed of dissipation becomes to decrease in the moneyness where the liquidity of ITM options declines to be a very low level. Overall our results suggest that the arbitrage efficiency in the KOSPI 200 index option markets might be deteriorated after an increasing of option multiplier.
Tax Effects on the Basis of KOSPI200 Index Futures
Authors: Oh Jong-Moon , Kim Wan-Hee 
Published: September 2020

This paper conducts an empirical analysis to examine the tax effect on the basis (the difference between the futures price and the cash price) of KOSPI200 stock-index futures.
The standard cost-of-carry model relies on a simple non-arbitrage argument in which a trader replicates a “synthetic bond” with short in the futures and long in the underlying basket of cash stocks. While the synthetic bond provides the same or similar economic profiles as a normal interest-bearing instrument, the tax treatment for each is different under Korean tax code. The implicit taxes are expected to lower the before-tax rate of return on the synthetic bond, and thus to shrink the size of the basis.
The analysis indicates that implicit taxes are reflected and thus priced in the basis of KOSPI200 stock-index futures.
The NYSE Korea ETF Market
Authors: Yeom Myeong-Hoon , Baek Jae-Seung 
Published: September 2020

This study focused on the Korea ETF which is listed and traded in NYSE (New York stock exchange) and analyzed empirically the price discovery effect of NYSE Korea ETF on the Korean stock market. There was almost no related research even though the Korea ETF listed in NYSE did not only show high correlation with the Korean stock market but also was often used as a predictive tool of the Korean stock market by investors.
The significance of this study is in conducting a price discovery analysis on the Korea ETF traded in NYSE by using sample data of ‘iShares MSCI South Korea Capped (symbol: EWY)' of the most abundant liquidity among Korea ETF traded in NYSE. Also, the Korea ETF traded at in Korean nighttime is the spot trading, but since the KOSPI200 nighttime futures are the derivatives trading, there is an implication that the price discovery effect between spot market and derivatives market can be compared by comparing each price discovery effect.
Digital transformation of traditional marketing business model in new industry era
Authors: Caliskan Aylin , Özkan Özen Yeşim Deniz , Ozturkoglu Yucel 
Published: September 2020

PurposeImpact of the digitalization on the production and service sector is a highly popular topic in these days and especially, new business models receive increasingly more attention. Under the light of digitalization, the Fourth Industrial Revolution, so-called Industry 4.0, and its impacts on all kinds of process is a promising topic in the academia and also beneficial for the practitioners. Since there are arguments from scholars that Industry 4.0 has an important and shaping effect on marketing, the concept of 7P's in marketing should be incorporated in Industry 4.0 elements. From this point of view, this study focuses on developing the understanding of 7P's based on contemporary perspectives of Industry 4.0.Design/methodology/approachIn order to do that, different criteria related to integration of Industry 4.0 and marketing practices under each marketing-mix element are presented and one of the multi-criteria decision-making (MCDM) methods, the best–worst method (BWM) is used to prioritize the criteria for future implications.FindingsResults indicated that product, process and physical evidence are the most affected marketing-mix factors by considering Industry 4.0. managerial implications which were also presented based on the numerical results.Originality/valueAn in-depth analysis of literature review related to Industry 4.0 revealed that changing and developing technologies are examined in detail mostly around a production perspective. In order to fulfill the gap in the knowledge, this study focuses on the examination of impacts of Industry 4.0 on the marketing-mix strategy. To the best of the authors’ knowledge, this is the first study which merges Industry 4.0 with the marketing mix.
Establishing SME–university collaboration through innovation support programmes
Authors: Kurdve Martin , Bird Anna , Laage-Hellman Jens 
Published: September 2020

PurposeThe research purpose is to analyse when and how innovation support programmes (ISPs) can affect collaboration between universities and established small and medium sized enterprises (SMEs). The paper specifically considers SME’s absorptive capacity.Design/methodology/approachA Swedish research centre is studied in the context of innovation support and two of its SME-ISPs are examined with regards to industry–university collaboration and impact on firm innovation capabilities. Data collection and analysis are performed, using interviews, survey answers, document search and reflectional analysis to evaluate processes and effects of the centre and the programmes.FindingsA developed research centre, integrated into both academia and industry, can support translational collaboration and promote SME innovation absorptive capacity. The action learning elements and the organisational development approaches used when coaching in the ISPs contribute to the SMEs internal absorption capacity and collaborational skills. Organising collaboration into ISPs can provide a relational path to future collaboration with universities, which, for example start with student projects.Research limitations/implicationsThe study, though limited to one Swedish region, adds to empirical innovation research as it connects industry–university collaboration and absorptive capacity to organisational learning.Practical implicationsThe empirical results indicate possible long-term gains for industry and universities in building collaborative innovation into SME-ISPs.Originality/valueThe contribution of this study pertains to the practice of innovation support for established SMEs with the inclusion of absorption capacity and collaborative innovation development.
Google Popular Times: towards a better understanding of tourist customer patronage behavior
Authors: Möhring Michael , Keller Barbara , Schmidt Rainer , Dacko Scott 
Published: September 2020

Purpose
This paper aims to investigate actual tourist customer visiting behavior with behavioral data from Google Popular Times to evaluate the extent that such an online source is useful to better understand, analyze and predict tourist consumer behaviors.

Design/methodology/approach
Following six hypotheses on tourist behavior, a purpose-built software tool was developed, pre-tested, and then used to obtain a large-scale data sample of 20,000 time periods for 198 restaurants. Both bi-variate linear regression and correlation analyzes were used for hypothesis testing.

Findings
Support was established for the hypotheses, through an analysis of customer reviews, timing effects, the number of pictures uploaded and price segment information provided by tourists to a given restaurant. Also, a relationship to average duration time was found to be positive. The findings demonstrate that data provided through Google Popular Times matches theoretical and logical assumptions to a high degree. Thus, the data source is potentially powerful for providing valuable information to stakeholders (e.g. researchers, managers and tourists).

Originality/value
This paper is the first to both conceptually and empirically demonstrate the practicality and value of Google Popular Times to better understand, analyze and predict tourist consumer behaviors. Value is thereby provided by the potential for this approach to offer insights based behavioral data. Importantly, until now such an approach to gathering and analyzing this volume of actual customer data was previously considered far less practical in terms of time and expense.
Benign prostatic hyperplasia – what do we know?
Authors: Devlin Conor M. , Simms Matthew S. , Maitland Norman J. 
Published: September 2020

ObjectivesTo present historical and contemporary hypotheses on the pathogenesis of benign prostatic hyperplasia (BPH), and the potential implications for current medical therapies.MethodsThe literature on BPH was reviewed. BPH is a prevalent disease with significant health and economic impacts on patients and health organisations across the world, whilst the cause/initiation of the disease process has still not been fully determined.ResultsIn BPH, pathways involving androgens, oestrogens, insulin, inflammation, proliferative reawakening, stem cells and telomerase have been hypothesised in the pathogenesis of the disease. A number of pathways first described >40 years ago have been first rebuked and then have come back into favour. A system of an inflammatory process within the prostate, which leads to growth factor production, stem cell activation, and cellular proliferation encompassing a number of pathways, is currently in vogue. This review also highlights the physiology of the prostate cell subpopulations and how this may account for the delay/failure in treatment response for certain medical therapies.ConclusionBPH is an important disease, and as the pathogenesis is not fully understood it impacts the effectiveness of medical therapies. This impacts patients, with further research potentially highlighting novel therapeutic avenues.