bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimating Credit Rating and Transition Matrix of Savings Bank Industry Based upon IRB-Approach
Authors: Kim Myung Jig , Shin Sung Hwan , Song Hong Sun 
Published: September 2020

This paper proposes a method that estimates credit ratings by mapping empirical probability of default (PD) and standardized historical financial ratios. Unlike standard approaches such as the parametric logit model. discriminant analysis. neural network. and survival function model. the proposed approach has an advantage of offering a multiple credit rating categories. as opposed to either default or not default. of obligors. It would provide an useful information to practitioners because the probability of default for each credit rating category is a critical input under New Basel Capital Accord. Emoirical results based upon the historical PD and financial ratios of Korean savings bank industry from 2000 and 2003 suggest that the industry’s average credit rating belong to a speculative grade. that is BB and below.
In addition, the computed transition matrix indicates that volatility of transition matrix fluctuates substantially each year and the orobability of staying in the same rating category at the end of the year tended to be much smaller than the average reported by the rating agencies for the overall Korean companies. The proposed method can easily be applied to industries other than savings bank industry.
Elucidation of big data analytics in banking: a four-stage Delphi study
Authors: Soltani Delgosha Mohammad , Hajiheydari Nastaran , Fahimi Sayed Mahmood 
Published: September 2020

PurposeIn today's networked business environment, a huge amount of data is being generated and processed in different industries, which banking is amongst the most important ones. The aim of this study is to understand and prioritize strategic applications, main drivers, and key challenges of implementing big data analytics in banks.Design/methodology/approachTo take advantage of experts' viewpoints, the authors designed and implemented a four-round Delphi study. Totally, 25 eligible experts have contributed to this survey in collecting and analyzing the data.FindingsThe results revealed that the most important applications of big data in banks are “fraud detection” and “credit risk analysis.” The main drivers to start big data endeavors are “decision-making enhancement” and “new product/service development,” and finally the focal challenge threatening the efforts and expected outputs is “information silos and unintegrated data.”Originality/valueIn addition to stepping forward in the literature, the findings advance our understanding of the main managerial issues of big data in a dynamic business environment, by proposing effective further actions for both scholars and decision-makers.
Modes of collaboration in open innovation practice of pharmaceutical firms in India: the analysis of survey and patent data
Authors: Krishna Vinita , Jain Sudhir K. 
Published: September 2020

PurposePatents as one of the important components of intellectual capital are emerging as a new source for mining insights on open innovation (OI) practice of the organizations. Their role in value creation through collaboration and the inter-firm differences is yet to be explored in depth.Design/methodology/approachTo achieve the aim, survey data is analyzed to rank OI practices (collaboration) of the firms, while patent data are analyzed to carry out descriptive and bivariate analysis to study the inter-firm differences in collaboration.FindingsThe survey findings highlight mergers and acquisitions (M&A) and patent pooling as the top two preferred modes of OI, while from patent data M&A has emerged as a predominant OI practice for mainly nonresident firms. At the firm level characteristics, out of firm age, number of granted patents and firm size, firm age has been found to be somewhat significant in few cases of OI practices.Research limitations/implicationsIt provides an alternative source, in this case patent data to study open innovation capabilities of firms in India. There is contribution to the patent value theory from profit motive to deriving strategic decisions on collaboration.Practical implicationsThe managerial implications of this study lie in realizing granted patents as important business tools for seeking collaboration, tracing competitive intelligence and the geography of innovation of the firms' competitors.Originality/valueThe dataset of granted patents at the Indian Patent office (2005–2017), the sample of pharmaceutical firms drawn from this list of patents, patent data– based OI insights and the use of multiple imputation technique to missing data for meaningful insights are some of the unique aspects of this paper.
Examining the role of social media-based destination brand community in evoking tourists’ emotions and intention to co-create and visit
Authors: Cheung Man Lai , Ting Hiram , Cheah Jun-Hwa , Sharipudin Mohamad-Noor Salehhuddin 
Published: September 2020

Purpose
Using the stimulus-organism-response model as the theoretical basis, the purpose of this study is to examine the impact of a social media-based destination brand community (SMDBC) on tourists’ emotions, and the subsequent effect on the intention to co-create value and visit.

Design/methodology/approach
The theoretical framework was tested using survey data from 551 Chinese social media users who were followers of Japanese social media pages. Partial least squares–structural equation modelling was adopted to perform the latent variable analysis.

Findings
The findings reveal that SMDBC plays a considerable role in shaping tourists’ emotions, including joy, love and positive surprise, which, in turn, have a significant impact on consumers’ intention to co-create value and visit. Contrary to previous studies, the effect of joy on tourists’ intention to co-create and visit is found to be insignificant.

Research limitations/implications
The present study elucidates the importance and relevance of SMDBC in evoking tourists’ positive emotions, and subsequently their intention to co-create value and visit. Future research is recommended to compare and contrast SMDBC with other marketing and branding activities to provide greater insights into the phenomenon in a dynamic environment.

Practical implications
This study enables academics and business practitioners to better comprehend the effectiveness of SMDBC in driving tourists’ favourable assessment and behavioural intentions to improve resource allocation. In particular, destination marketers are recommended to optimise SMDBC and encourage discussion on SMDBC among users.

Originality/value
As literature in relation to the importance of SMDBC in evoking tourists’ emotions incorporating its link with tourists’ intention to co-create value and visit is relatively scarce, this study contributes to the branding and destination tourism research by empirically articulating the relevance of SMDBC in stimulating tourists’ emotions and subsequently value co-creation and visit intention.
Personal values as drivers of socially responsible investments: a moderation analysis
Authors: Singh Manjit , Mittal Manju , Mehta Pooja , Singla Himanshu 
Published: September 2020

PurposeThe present study attempts to analyze if personal values, namely collectivism, materialism and environment attitude, have an impact on attitude to invest in socially responsible investments (SRIs). Second, it examines the impact of attitude on SRI intention which may further be moderated by religiosity beliefs. Third, the moderated relation is further tested separately for two groups of gender.Design/methodology/approachThe study uses cross-sectional data collected from 534 north Indian retail investors. PLS–SEM has been applied in this study using the latest version of SmartPLS (v. 3.2.9) software to examine the complex model of moderation analysis.FindingsThe results of PLS–SEM suggested that collectivism, materialism and environment attitude significantly influenced attitude which further led to SRI intention. The moderating role of religiosity was found to be significant on the attitude–intention relationship. Further, a significantly higher moderation of religiosity was found in females as compared to males.Research limitations/implicationsBesides collectivism, materialism and environmental attitude, there could be other facets of an investor's personality that were not considered in the study. The present research was conducted in India, and Hofstede (1980) calls Indian culture to be collectivistic in nature, where the influence of pro-social and environmental concern on SRI intention is bound to be high; thus, findings need to be tested further at the global level.Practical implicationsCompanies and financial institutions can enlarge their investor base for socially responsible products by propagating tailor-made financial products that can keep the personal values of investors intact in addition to providing satisfactory financial returns. Female investors can be encouraged to invest in SRI by promulgating the aspects of morality and ethics in their marketing and promotion strategies; eventually, this will lead to an upsurge in the proportion of female investors in financial markets.Originality/valueThe present study contributes to the growing body of research in the area of sustainable investments. This research has contributed to building and testing a moderation analysis of attitude–intention relationship with respect to SRI by adding investor's religiosity beliefs and his/her gender as moderating variables to better comprehend the relationships under study.
Is there persistence among non-professionals? Evidence from the Chicago Mercantile Exchange Group Trading Challenges
Authors: Sabbaghi Omid , Xu Min 
Published: September 2020

PurposeThe study systematically investigates persistence in performance for simulated trading among non-professional traders in the futures market.Design/methodology/approachIn this study, the authors employ a novel data set from the Chicago Mercantile Exchange (CME) Group's Trading Challenges for years 2014 through 2018 and expand upon the empirical methodology of Malkiel (1995) through improved interval estimations in testing for persistence in performance. The authors implement Fama-MacBeth style regressions to understand the degree of persistence in performance and the extent to which non-professionals extrapolate from prior returns. They adjust returns for risk through the Fama and French (2015) five-factor model in understanding whether the sample of non-professionals is able to produce excess returns after expenses and whether there is evidence of excess gross to cover expenses.FindingsThe empirical analysis suggests strong evidence for performance persistence among non-professionals participating in the Preliminary Rounds. In the Championship Rounds, the authors find that the persistence effect becomes stronger in economic and statistical significance after accounting for expenses. The results suggest that competition and transaction costs help to distinguish between winners and losers. When conducting Fama-MacBeth style regressions, the authors present evidence that strongly supports the persistence effect and over-extrapolation. While the results of the multi-factor model analysis suggest that, after adjusting for risk, most teams are experiencing negative excess returns prior to expenses, the authors also uncover evidence of teams earning returns sufficient to cover their expenses.Originality/valueThe authors bridge the gap between the literature on performance persistence and the emerging literature on non-professionals in the financial markets. Data from the CME Group’s Trading Challenge provide a rich source in studying the beliefs of non-professionals, and this study is helpful for understanding how beliefs, operationalized in simulated trades, perform over short time horizons, thereby providing insights into the behavioral dynamics of the financial markets. The results provide new empirical evidence for performance persistence among non-professionals.
Management quality of professional football clubs: the Football Management (FoMa) Q-Score 2018
Authors: Zülch Henning , Palme Moritz , Jost Sébastien Pierre 
Published: September 2020

PurposeThis study derives a new framework that comprehensively assesses management quality along four dimensions, namely Sporting Success; Financial Performance; Fan Welfare Maximization; and Leadership and Governance. Filled with measurable key performance indicators (KPIs), these dimensions serve the purpose of objectively quantifying the relevant success factors. Ultimately, the performance in all dimensions indicates a football club's management quality.Design/methodology/approachThe study relies first on a review of the literature in the field of both general management and sports. Second, the authors adapt the balanced scorecard framework to the field of professional football and use a set of KPIs to assess the management quality of the Bundesliga teams over the seasons 2016/17 and 2017/18. Third, the authors validate the relative weights of the four dimensions composing the so-called “Football Management Quality score” (i.e. FoMa Q-Score) using expert interviews.FindingsTwo movements characterize the score development in 2017/18 compared to 2016/17: first, scores appear more contracted than previously. Second, both average and median scores improved, suggesting a general improvement in the management quality within the Bundesliga.Originality/valueTo the best of the authors’ knowledge, this is the first exploratory study deriving and measuring relevant key criteria for managing football clubs and illustrating the findings in a ranking. The aim of this study is to establish a model that impacts both academia and practice. By utilizing existing management literature and adjusting it to football particularities, the newfound knowledge begins to close the gap in sport management literature.
Quality function deployment: exploiting interrelationships for progressive prioritization
Authors: Sharma Jitendra 
Published: September 2020

PurposeThe purpose of this paper is twofold: to incorporate the symbolic relationships among the attributes of customer requirements (CRs) and engineering characteristics (ECs) as well as to factor in the values numerically to enhance the prioritization process for an improved, comprehensive quality function deployment (QFD) analysis. The aim is to develop the concept of assimilating and factoring in the often-ignored interrelationships among CRs and ECs utilizing the weighted average method for the CR and EC correlations with overall calculations.Design/methodology/approachAfter a brief literature review of the methods utilized, the research paper discusses the framework for the correlation triangle challenge and introduces a novel mathematical solution utilizing triangle values in conjunction with computed initial raw weights for CRs and initial priority scores for ECs. The capability and applicability of the proposed model are demonstrated with a real-life example.FindingsThrough the proposed technique, the roof and the interrelationship triangle's signs and symbols are translated into numerical values for each permutation of ECs and CRs, and then the prioritization values are processed and finalized. The proposed model successfully modifies and removes vagueness from an otherwise overlooked part of the QFD process.Practical implicationsThe illustrated case study aptly proves that the proposed methodology yields more revealing and informative outcomes for engineers and designers, thus adding much-needed reliability to the outcome and its analysis. The validation conducted through the rank comparison endorses the premise, and the results obtained reflect the strength and accuracy of the progressive QFD as a product planning tool.Originality/valueThe research article proposes a fresh and unique QFD approach that solves typical procedural complications encountered in a regular QFD. Whereas the traditional methods neglect the interrelationships among CRs and ECs, this new methodology employs them in an improved, numerical way by incorporating them in quantitative analysis, which leads to judicious and improved decision-making.
Letter: effectiveness of ustekinumab or vedolizumab in Crohn's disease following anti‐TNF failure—getting closer to the truth. Authors' reply
Authors: Biemans Vince B. C. , Hoentjen Frank , Pierik Marieke J. 
Published: September 2020

LINKED CONTENTThis article is linked to Biemans et al and Liu et al papers. To view these articles, visit https://doi.org/10.1111/apt.15745 and https://doi.org/10.1111/apt.16009
Magnetic resonance imaging based computer‐guided dental implant surgery—A clinical pilot study
Authors: Probst Florian Andreas , Schweiger Josef , Stumbaum Maria Juliane , Karampinos Dimitrios , Burian Egon , Probst Monika 
Published: September 2020

AbstractBackgroundComputer‐guided implant surgery is currently based on radiographic techniques exposing patients to ionizing radiation.PurposeTo assess, whether computer‐assisted 3D implant planning with template‐guided placement of dental implants based on magnetic resonance imaging (MRI) is feasible.Materials and methods3‐Tesla MRI was performed in 12 subjects as a basis for prosthetically driven virtual planning and subsequent guided implant surgery. To evaluate the transferability of the virtually planned implant position, deviations between virtually planned and resulting implant position were studied. Matching of occlusal surfaces was assessed by comparing surface scans with MRI‐derived images. In addition, the overall image quality and the ability of depicting anatomically important structures were rated.ResultsMRI‐based guided implant surgery with subsequent prosthetic treatment was successfully performed in nine patients. Mean deviations between virtually planned and resulting implant position (error at entry point 0.8 ± 0.3 mm, error at apex 1.2 ± 0.6 mm, angular deviation 4.9 ± 3.6°), mean deviation of occlusal surfaces between surface scans and MRI‐based tooth reconstructions (mean 0.254 ± 0.026 mm) as well as visualization of important anatomical structures were acceptable for clinical application.ConclusionMagnetic resonance imaging (MRI) based computer‐assisted implant surgery is a feasible and accurate procedure that avoids exposure to ionizing radiation.
Acquisition of chromosome 1q duplication in parental and genome‐edited human‐induced pluripotent stem cell‐derived neural stem cells results in their higher proliferation rate in vitro and in vivo
Authors: Mehrjardi Narges Zare , Molcanyi Marek , Hatay Firuze Fulya , Timmer Marco , Shahbazi Ebrahim , Ackermann Justus P. , Herms Stefan , Heilmann‐Heimbach Stefanie , Wunderlich Thomas F. , Prochnow Nora , Haghikia Aiden , Lampert Angelika , Hescheler Jürgen , Neugebauer Edmund A. M. , Baharvand Hossein , Šarić Tomo 
Published: September 2020

AbstractObjectivesGenetic engineering of human‐induced pluripotent stem cell‐derived neural stem cells (hiPSC‐NSC) may increase the risk of genomic aberrations. Therefore, we asked whether genetic modification of hiPSC‐NSCs exacerbates chromosomal abnormalities that may occur during passaging and whether they may cause any functional perturbations in NSCs in vitro and in vivo.Materials and MethodsThe transgenic cassette was inserted into the AAVS1 locus, and the genetic integrity of zinc‐finger nuclease (ZFN)‐modified hiPSC‐NSCs was assessed by the SNP‐based karyotyping. The hiPSC‐NSC proliferation was assessed in vitro by the EdU incorporation assay and in vivo by staining of brain slices with Ki‐67 antibody at 2 and 8 weeks after transplantation of ZFN‐NSCs with and without chromosomal aberration into the striatum of immunodeficient rats.ResultsDuring early passages, no chromosomal abnormalities were detected in unmodified or ZFN‐modified hiPSC‐NSCs. However, at higher passages both cell populations acquired duplication of the entire long arm of chromosome 1, dup(1)q. ZNF‐NSCs carrying dup(1)q exhibited higher proliferation rate than karyotypically intact cells, which was partly mediated by increased expression of AKT3 located on Chr1q. Compared to karyotypically normal ZNF‐NSCs, cells with dup(1)q also exhibited increased proliferation in vivo 2 weeks, but not 2 months, after transplantation.ConclusionsThese results demonstrate that, independently of ZFN‐editing, hiPSC‐NSCs have a propensity for acquiring dup(1)q and this aberration results in increased proliferation which might compromise downstream hiPSC‐NSC applications.
Correlation between substrate selection and body color of neotropical katydids (Orthoptera: Tettigoniidae)
Authors: Goodman Aaron 
Published: September 2020

Leaf mimesis is the most common form of predator avoidance displayed by neotropical katydids. Such camouflage is expressed through various body and colour forms to resemble different leaf shapes within the rainforest. The objective of this work was to determine if roosting katydids select vegetation the same colour as their body during the day, and if this pattern differs in the nighttime.I sampled katydids from the Monteverde Cloud Forest (Puntarenas, Costa Rica) by hand capture during the night and released them during the day, noting behaviour and final roosting vegetation. In total, I collected 61 katydids consisting of two monomorphic genera (Idiarthon,n = 16,Lophaspis,n = 8), and two polymorphic genera (Mimetica,n = 12,Orophus,n = 25).I generated contingency tables of counts for monomorphic and polymorphic katydid genera, comparing body colour to daytime and nighttime roosting substrate colour, and vegetation type. I then conducted chi‐squared goodness‐of‐fit tests on the contingency tables. My results suggest that during the day, both monomorphic and polymorphic species select vegetation which matches their body, however, this pattern is absent during the nighttime.However, species within the leaf‐mimicking genusMimeticadisplayed no colour‐matching behaviours during the day. This study is the first quantitative analysis of behavioural colour‐matching of neotropical katydids and provides useful insight into katydid functional coloration and evolution.