A Review of the Literature on the Empathy Construct Using Cluster Analysis

Empathy plays a central role in human behavior and is a key aspect of social functioning. The extensive research on the empathy construct in fields such as psychology, social work, and education has revealed many positive aspects of empathy. Through the use of cluster analysis, this research takes a new approach to reviewing the literature on empathy and objectively identifies groups of empathy research. Next, this study relates the information systems (IS) discipline’s focus on empathy research through the projection of IS empathy paragraphs into those clusters, and identifies areas of empathy research that are currently being largely overlooked by the IS field. The use of cluster analysis and projection for conducting a literature review provides researchers with a more objective approach for reviewing relevant literature

Proceedings of the 11th European Agent Systems Summer School Student Session

This volume contains the papers presented at the Student Session of the 11th European Agent Systems Summer School (EASSS) held on 2nd of September 2009 at Educatorio della Providenza, Turin, Italy. The Student Session, organised by students, is designed to encourage student interaction and feedback from the tutors. By providing the students with a conference-like setup, both in the presentation and in the review process, students have the opportunity to prepare their own submission, go through the selection process and present their work to each other and their interests to their fellow students as well as internationally leading experts in the agent field, both from the theoretical and the practical sector. Table of Contents: Andrew Koster, Jordi Sabater Mir and Marco Schorlemmer, Towards an inductive algorithm for learning trust alignment . . . 5; Angel Rolando Medellin, Katie Atkinson and Peter McBurney, A Preliminary Proposal for Model Checking Command Dialogues. . . 12; Declan Mungovan, Enda Howley and Jim Duggan, Norm Convergence in Populations of Dynamically Interacting Agents . . . 19; Akın Günay, Argumentation on Bayesian Networks for Distributed Decision Making . . 25; Michael Burkhardt, Marco Luetzenberger and Nils Masuch, Towards Toolipse 2: Tool Support for the JIAC V Agent Framework . . . 30; Joseph El Gemayel, The Tenacity of Social Actors . . . 33; Cristian Gratie, The Impact of Routing on Traffic Congestion . . . 36; Andrei-Horia Mogos and Monica Cristina Voinescu, A Rule-Based Psychologist Agent for Improving the Performances of a Sportsman . . . 39; --Autonomer Agent,Agent,Künstliche Intelligenz

Efficient Channel Modeling Methods for Mobile Communication Systems

Siirretty Doriast

Alumni perception of the NMMU computing sciences department

The success of a course offered by a university and the effectiveness of the instructors have commonly been measured by means of student evaluations. The feedback generated is typically used to identify instructors who need additional training, courses that need to be restructured or the need for financial rewards for those who excel. The principal objective of educating students is, knowledge, training and skills they can use and apply after graduating, regardless of the field of study. The perception of the Alumni about the extent of learning and the usefulness of the knowledge is a key measure for universities to assess their success. A service guarantee is defined as a formal promise made to customers about the service they will receive or it is a written promise made by the company through advertising or company literature that it will provide compensation if promises are broken. In order to ensure customer satisfaction in a service offering, the quality of service performance needs to be guaranteed. Many service industries promise a level of service performance, with or without conditions attached. Customer value is a complex concept as it is often interpreted with various meanings depending on the point of view adopted. A definition of customer value is the perceived value that the customer gains when purchasing a product or receiving a service. However, customer value can be used in a variety of contexts. The purpose of this research study is to measure the perception and satisfaction of Alumni of the Department of Computing Sciences and identify areas for improvement by performing a systematic analysis of the determinants of satisfaction. This research is an exploratory, quantitative study consisting of literature- and case-study components used to test proposed hypotheses. The literature study was performed on secondary sources to establish the key concepts related to the topics of Service Guarantee and Marketing, Stakeholder Theory, Customer-perceived Value and Alumni Perceptions. The empirical study consisted of surveys (questionnaires) completed by Alumni of the Department of Computing Sciences. The questionnaire used in this research consisted of questions regarding demographic data and questions regarding perceived perception of the Department of Computing Sciences and influencing factors. Descriptive statistics were used to summarise the data into a more compact form which could simplify the identification of patterns in the data. Inferential statistics were used to verify if conclusions made from the sample data could be inferred onto a larger population. Recommended university and teaching practices based on the statistical analysis of the survey results were identified. A model identified the following factors as having an influence on Alumni Satisfaction with the NMMU Department of Computing Sciences: Customer Satisfaction, Course Contents, Modern Technologies, Academic Staff, Admin. Staff, Departments, University Atmosphere and Perceived Value. The importance of each factor was identified to understand how to improve the Alumni perception. According to the inferential ranking of Alumni Satisfaction that ranks the factors on the average mean values, a factor that should be improved upon is the Alumni Network. Recommended improvements were suggested for the Department of Computing Sciences based on the statistical analysis of the survey results. Two sub-groups were defined by different levels of education and they were found to have different perceptions of the factors that were measured. It was shown that there are small and medium significant differences in only two of the factors of the proposed Alumni satisfaction model, distinguising through different levels of education. The Alumni Satisfaction model developed in this study specified the factors that influence Alumni Satisfaction with the Deptarment of Computing Sciences and the effect that each of these factors has on that satisfaction

Business competitiveness: building and applying the 3Cs and the Strategic Change Matrix across COVID-19

This India-wide, empirical, point-in-time, global literature-supported, quantitative study involves 232 leading management consulting firm (MCF) consultants and contracting client firm (CF) perspectives. It relationally builds a structural MCF-CF 3Cs model that links MCF competencies into MCF-CF capabilities systems and then into CF business competitiveness. The 3Cs model can be visually and numerically presented as a CF three-dimensional positioning within the strategic change matrix. Future pathways towards a new optimal strategic future CF position can then be strategic change matrix mapped. A contribution towards Management-Consulting-Theory is presented as one that likely follows and embodies the MCF-CF 3Cs model processes

ASA 2021 Statistics and Information Systems for Policy Evaluation

This book includes 40 peer-reviewed short papers submitted to the Scientific Conference titled Statistics and Information Systems for Policy Evaluation, aimed at promoting new statistical methods and applications for the evaluation of policies and organized by the Association for Applied Statistics (ASA) and the Dept. of Statistics, Computer Science, Applications DiSIA “G. Parenti” of the University of Florence, jointly with the partners AICQ (Italian Association for Quality Culture), AICQ-CN (Italian Association for Quality Culture North and Centre of Italy), AISS (Italian Academy for Six Sigma), ASSIRM (Italian Association for Marketing, Social and Opinion Research), Comune di Firenze, the SIS – Italian Statistical Society, Regione Toscana and Valmon – Evaluation & Monitoring

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse