A majority of the loan products produced by modern financial intermediaries (e.g., banks) provide borrowers with an option to prepay loans. The institutions issuing these…
A majority of the loan products produced by modern financial intermediaries (e.g., banks) provide borrowers with an option to prepay loans. The institutions issuing these products typically retain much of this prepayment exposure on their balance sheets. This article develops and applies a general framework to match funding to the prepayment‐sensitivity of assets, in order to preserve spread and achieve a more stable return profile.
Effective measurement and analysis of service quality are an essential first step in its improvement. This paper discusses the development of neural network models for…
Effective measurement and analysis of service quality are an essential first step in its improvement. This paper discusses the development of neural network models for this purpose. A valid neural network model for service quality is initially developed. Customer data from a SERVQUAL survey at an auto‐dealership network in The Netherlands provide the basis for model development. Different definitions of service quality measurement are modelled using the neural network approach. The perception‐minus‐expectation model of service quality was found not to be as accurate as the perception‐only model in predicting service quality. While this is consistent with the literature, this study also shows that the more intuitively appealing but mathematically less convenient expectation‐minus‐perception model out‐performs all the other service quality measurement models. The study also provides an analytical basis for the importance of expectation in the measurement of service quality. However, the study demonstrates the need for further study before neural network models may be effectively used for sensitivity analyses involving specific dimensions of service quality.
Although there are many articles on CDS/ISIS which describe projects in which conversion techniques are used, there is very little literature about the conversion programs…
Although there are many articles on CDS/ISIS which describe projects in which conversion techniques are used, there is very little literature about the conversion programs themselves.This paper provides an overview of the conversion process and gives brief descriptions of some of the available programs.
This paper presents an evaluation of three Web based prototypes for bibliographic displays developed as part of an ongoing research project at the Faculty of Information…
This paper presents an evaluation of three Web based prototypes for bibliographic displays developed as part of an ongoing research project at the Faculty of Information Studies of the University of Toronto. The development of these prototypes builds upon results obtained in earlier phases of the project that addressed issues of both the content and form of bibliographic displays in Public Access Catalogues (Chan 1995; Luk 1996). Anticipation of continued growth in the number of catalogues available through the World Wide Web, combined with evidence (Cherry and Cox 1996) that existing Web based displays have not shown improvement over their text‐based counterparts, motivated the development of these prototypes for use on the Web. The findings from a focus group evaluation of the three prototypes are also reported, and suggestions made for future research.
– This paper aims to provide an insight into recent advancements and developments of robotics for Natural Orifice Transluminal Surgery (NOTES) procedures.
This paper aims to provide an insight into recent advancements and developments of robotics for Natural Orifice Transluminal Surgery (NOTES) procedures.
Following an introduction that highlights the evolution from Minimally Invasive Surgery (MIS) to NOTES in the medical field, this paper reviews the main robotics systems that have been designed and implemented for MIS and NOTES, summarising their advantages and limitations and remarking the technological challenges and the requirements that still should be addressed and fulfilled.
The state-of-the-art presented in this paper shows that the majority of the platforms created for NOTES are laboratory prototypes, and their performances are still far from being optimal. New solutions are required to solve the problems confronted by the proposed systems such as the limited number of DOFs, the limited resolution, the optimal fixation and stiffening of the instruments for enabling stable and precise operation, the effective transmission of forces to the tip tools, the improvement of the force feedback feeling and the proper visualization and spatial orientation of the surgical field. Advances in robotics can contribute significantly to the development and future implementation of the NOTES procedure.
This paper highlights the current trends and challenges ahead in robotics applied to NOTES procedure.
Research questions that this paper attempts to answer are – do the features in general email communication have any significance to a teaching faculty member leaving the…
Research questions that this paper attempts to answer are – do the features in general email communication have any significance to a teaching faculty member leaving the business school? Do the sentiments expressed in email communication have any significance to a teaching faculty member leaving the business school? Do the stages mentioned in the transtheoretical model have any relevance to the email behaviour of an individual when he or she goes through the decision process leading to the decision to quit? The purpose of this paper is to study email patterns and use predictive analytics to correlate with the real-world situation of leaving the business school.
The email repository (2010–2017) of 126 teaching faculty members who were associated with a business school as full-time faculty members is the data set that was used for the research. Of the 126 teaching faculty members, 42 had left the business school during this time frame. Correlation analysis, word count analysis and sentiment analysis were executed using “R” programming, and sentiment “R” package was used to understand the sentiment and its association in leaving the business school. From the email repository, a rich feature set of data was extracted for correlation analysis to discover the features which had strong correlation with the faculty member leaving the business school. The research also used data-logging tools to extract aggregated statistics for word frequency counts and sentiment features.
Those faculty members who decide to leave are involved more in external communication and less in internal communications. Also, those who decide to leave initiate fewer email conversations and opt to forward emails to colleagues. Correlation analysis shows that negative sentiment goes down, as faculty members leave the organisation and this is in contrary to the existing review of literature. The research also shows that the triggering point or the intention to leave is positively correlated to the downward swing of the emotional valence (positive sentiment). A number of email features have shown change in patterns which are correlated to a faculty member quitting the business school.
Faculty members of only one business school have been considered and this is primary due to cost, privacy and complexities involved in procuring and handling the data. Also, the reasons for exhibiting the sentiments and their root cause have not been studied. Also the designation, roles and responsibilities of faculty members have not been taken into consideration.
Business schools all over India always have a challenge to recruit good faculty members who can take up research activities, teach and also shoulder administrative responsibilities. Retaining faculty members and keeping attrition levels low will help business schools to maintain the standards of excellence that they aspire. This research is immensely useful for business school, which can use email analytics in predicting the intention of the faculty members leaving their business school.
Although past studies have studied attrition, this study uses predictive analytics and maps it to the intention to quit. This study helps business schools to predict the chance of faculty members leaving the business school which is of immense value, as appropriate measures can be taken to retain and restrict attrition.