DOCSLIB.ORG

Applied Computing 2004

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Applied Computing 2004 AI and Computational Logic and Image Analysis (AI) Track Chair: C.C. Hung, Southern Polytechnic State University, USA Track Co-Chair: Agostinho Rosa, LaSEEB –ISR – IST, Portugal Track Editorial...........................................................................................................................................3 Experimenting with a Real-Size Man-Hill to Optimize Pedagogical Paths..........................................3 Gregory Valigiani, University of Calais Yannick Jamont, Paraschool Company Claire Bourgeois Republique, University of Bourgogne Raphael Biojout, Paraschool Company Evelyne Lutton, INRIA Rocquencourt Pierre Collet, University of Calais An Hybridization of an Ant-based Clustering Algorithm with Growing Neural Gas Networks for Classification Tasks ...................................................................................................................................8 Marco A. Montes de Oca, Monterrey Institute of Technology, Mexico Leonardo Garrido, Monterrey Institute of Technology, Mexico José L. Aguirre, Monterrey Institute of Technology, Mexico Reinforcement Learning Agents with Primary Knowledge Designed by Analytic Hierarchy Process.......................................................................................................................................................18 Kengo Katayama, Okayama University of Science, Japan Takahiro Koshiishi, Okayama University of Science, Japan Hiroyuki Narihisa, Okayama University of Science, Japan Estimating Manifold Dimension by Inverion Error.............................................................................26 Shawn Martin, Sandia National Laboratories, USA Alex Bäcker, Sandia National Laboratories, USA Data Driven Approach to Designing Minimum Hamming Distance Polychotomizer………….......31 Jie Zhou, Northern Illinois University, USA Giovanni Pasteris, Northern Illinois University, USA Variable Selection and Ranking for Analyzing Automobile Traffic Accident Data………….. .......36 Huanjing Wang, The Unversity of Alabama, USA Allen Parrish, The University of Alabama, USA Randy K. Smith, The University of Alabama, USA Susan Vrbsky, The University of Alabama, USA Stochastic Scheduling of Active Support Vector Learning Algorithms ………….. ..........................42 Gaurav Pandey, University of Minnesota, USA Himanshu Gupta, Indian Institute of Technology, India Pabitra Mitra, Indian Institute of Technology, USA Poster Papers The T-detectors Maturation Algorithm Based on Match Range Model ………….. .........................47 Dongyong Yang, Zhejiang University of Technology, China Jungan Chen, Zhejiang University of Technology, China A Comparison on Information Fusion Methods for Air Target Identification ………….. ..............49 Dongseob Jang, McMaster University, Canada Sung Shin, South Dakota State University, USA Charlie Shim, South Dakota State University, USA C.C. Hung, Southern Polytechnic State University, USA Agents, Interactions, Mobility, and Systems (AIMS) Track Co-Chairs: Henry Hexmoor, University of Arkansas, USA Marcin Paprzycki, Oklahoma State University, USA Niranjan Suri, IHMC / University of West Florida, USA Mobile Agents for Network Management: When and When Not!......................................................47 Huy Hoang To, Monash University, Australia Shonali Krishnaswamy, Monash University, Australia Bala Srinivasan, Monash University, Australia Agent Technology for Personalized Information Filtering: The PIA-System ...................................54 Sahin Albayrak, DAI-Lab of TU of Berlin, Germany Stefan Wollny, DAI-Lab of TU of Berlin, Germany Nicolas Varone, DAI-Lab of TU of Berlin, Germany Andreas Lommatzsch, DAI-Lab of TU of Berlin, Germany Dragan Milosevic, DAI-Lab of TU of Berlin, Germany An Agent Model for Fault-tolerant Systems .........................................................................................60 Avelino Francisco Zorzo, PURCS, Brazil Felipe Rech Meneguzzi, PURCS, Brazil A Distributed Content-Based Search Engine Based on Mobile Code.................................................66 Volker Roth, OGM Laboratory, LLC, USA Ulrich Pinsdorf, Fraunhofer IGD, Germany Jan Peters, Fraunhofer IGD, Germany An Empirical Evaluation of Communication Effectiveness in Autonomous Reactive Multiagent Systems......................................................................................................................................................74 David Hurt, University of North Texas, USA Paul Tarau, University of North Texas, USA A Multi-Agent Approach for Solving Optimization Problems involving Expensive Resources ......79 Hoong Chuin Lau, National University of Singapore, Singapore Hui Wang, University of Southern California, USA Forming Resource-Sharing Coalitions: A Distributed Resource Allocation Mechanism for Self- Interested Agents in Computational Grids............................................................................................84 Linli He, Texas A&M University, USA Thomas Ioerger, Texas A&M University, USA Poster Paper Reliability Analysis of Mobile Agent-based Systems............................................................................92 Mosaab Daoud, University of Guelph, Canada Qusay Mahmoud, University of Guelph, Canada Approximate Reasoning in Human Decision Making (ARHD) Track Co-Chairs: Robert John, De Montfort University, United Kingdom Johnathan Garibaldi, University of Nottingham, United Kingdom Fuzzy Approach to Outsourcing of Information Technology Services...............................................94 Ludmil Mikhailov, The University of Manchester, United Kingdom Petco Tsvetinov, Queensland University of Technology, Australia Bioinformatics (BIO) Track Co-Chairs: Mathew J. Palakal, Indiana University Purdue University Indianapolis, USA Sven Rahmann, University of Bielefeld, Germany Birong Liao, Lilly Research Laboratories, USA Track Editorial.........................................................................................................................................99 Efficient Discovery of Unique Signatures on Whole-genome EST Databases .................................100 Hsiao Ping Lee, National Tsing Hua University, Taiwan Tzu Fang Sheu, National Tsing Hua University, Taiwan Yin Te Tsai, Providence University, Taiwan Grid-based Management of Biomedical Data using an XML-based Distributed Data Management System .....................................................................................................................................................105 Shannon Hastings, The Ohio State University, USA Stephen Langella, The Ohio State University, USA Scott Oster, The Ohio State University, USA Tahsin Kurc, The Ohio State University, USA Tony Pan, The Ohio State University, USA Umit Catalyurek The Ohio State University, USA, Dan Janies, The Ohio State University, USA Joel Saltz, The Ohio State University, USA A Complex Biological Database Querying Method ............................................................................110 Jake Yue Chen, Indiana University – Purdue University Indianapolis, USA John Carlis, University of Minnesota, USA Ning Gao, Indiana University – Purdue University Indianapolis, USA PViN - A Scalable and Flexible System for Visualizing Pedigree Databases ...................................115 Eric Wernert, Indiana University, USA Jagannathan Lakshmipathy, Indiana University – Purdue University Indianapolis, USA Incremental Interactive Mining of Constrained Association Rules from Biological Annotation Data with Nominal Features .................................................................................................................123 Imad Rahal, North Dakota State University, USA Dongmei Ren, North Dakota State University, USA Amal Perera, North Dakota State University, USA Hassan Najadat, North Dakota State University, USA William Perrizo, North Dakota State University, USA Riad Rahal, University of Iowa, USA Willy Valdivia, Orion Intregrated Biosciences, USA A Framework for Result Handling in Bioinformatics: an Application to Computer Assisted Drug Design .....................................................................................................................................................128 Andrei Oliveira da Silva, LABIO – PPGCC/PUCRS, Brazil Osmar Norberto de Souza, LABIO – PPGCC/PUCRS, Brazil Graphical Rule-Based Representation of Signal-Transduction Networks.......................................133 James R. Faeder, Los Alamos National Laboratory, USA Michael L. Blinov, Los Alamos National Laboratory, USA William S. Hlavacek, Los Alamos National Laboratory, USA Generating Association Graphs of Non-Co-occurring Text Objects using Transitive Methods....141 Niranjin Jayadevaprakash, Purdue University, USA Snehasis Mukhopadhyay, Purdue University, USA Mathew Palakal, Purdue University, USA An Approximation Algorithm for Haplotype Inference by Maximum Parsimony.........................146 Yao-Ting Huang, National Taiwan University, Taiwan Kun-Mao Chao, National Taiwan University, Taiwan Ting Chen, University of Southern California, USA Efficient Mass Decomposition...............................................................................................................151 Sebastian Böcker, Universität Bielefeld, Germany Zsuzsanna Lipták, Universität Bielefeld, Germany CAFISS: A Complex Adaptive Framework for Immune System Simulation..................................158 Joc Cing Tay, Nanyang Technological University, Singapore Atul Jhavar, Nanyang
Load more

Recommended publications
  • Nonconvex Online Support Vector Machines
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 33, NO. XX, XXXXXXX 2011 1 Nonconvex Online Support Vector Machines S¸eydaErtekin,Le´on Bottou, and C. Lee Giles, Fellow, IEEE Abstract—In this paper, we propose a nonconvex online Support Vector Machine (SVM) algorithm (LASVM-NC) based on the Ramp Loss, which has the strong ability of suppressing the influence of outliers. Then, again in the online learning setting, we propose an outlier filtering mechanism (LASVM-I) based on approximating nonconvex behavior in convex optimization. These two algorithms are built upon another novel SVM algorithm (LASVM-G) that is capable of generating accurate intermediate models in its iterative steps by leveraging the duality gap. We present experimental results that demonstrate the merit of our frameworks in achieving significant robustness to outliers in noisy data classification where mislabeled training instances are in abundance. Experimental evaluation shows that the proposed approaches yield a more scalable online SVM algorithm with sparser models and less computational running time, both in the training and recognition phases, without sacrificing generalization performance. We also point out the relation between nonconvex optimization and min-margin active learning. Index Terms—Online learning, nonconvex optimization, support vector machines, active learning. Ç 1INTRODUCTION N supervised learning systems, the generalization perfor- solutions are guaranteed to reach global optima and are not Imance of classification algorithms is known to be greatly sensitive to initial conditions. The popularity of convexity improved with large margin training. Large margin classi- further increased after the success of convex algorithms, fiers find the maximal margin hyperplane that separates the particularly with SVMs, which yield good generalization training data in the appropriately chosen kernel-induced performance and have strong theoretical foundations.
    [Show full text]
  • Business Process Management & Enterprise Architecture Track
    BIO - Bioinformatics Track Track Co-Chairs: Juan Manuel Corchado, University of Salamanca, Spain Paola Lecca, University of Trento, Italy Dan Tulpan, University of Guelph, Canada An Insight into Biological Data Mining based on Rarity and Correlation as Constraints .............................1 Souad Bouasker, University of Tunis ElManar, Tunisia Drug Target Discovery Using Knowledge Graph Embeddings .........................................................................9 Sameh K. Mohamed, Insight Centre for Data Analytics, Ireland Aayah Nounu, University of Bristol, UK Vit Novacek, INSIGHT @ NUI Galway, Ireland Ensemble Feature Selectin for Biomarker Discovery in Mass Spectrometry-based Metabolomics ............17 Aliasghar Shahrjooihaghighi, University of Louisville, USA Hichem Frigui, University of Louisville, USA Xiang Zhang, University of Louisville, USA Xiaoli Wei, University of Louisville, USA Biyun Shi, University of Louisville, USA Craig J. McClain, University of Louisville, USA Molecule Specific Normalization for Protein and Metabolite Biomarker Discovery ....................................23 Ameni Trabelsi, University of Louisville, USA Biyun Shi, University of Louisville, USA Xiaoli Wei, University of Louisville, USA HICHEM FRIGUI, University of Louisville, USA Xiang Zhang, University of Louisville, USA Aliasghar Shahrajooihaghighi, University of Louisville, USA Craig McClain, University of Louisville, USA BPMEA - Business Process Management & Enterprise Architecture Track Track Co-Chairs: Marco Brambilla, Politecnico di
    [Show full text]
  • JCDL 2004) Global Reach and Diverse Impact June 7-11, 2004 Tucson, Arizona, USA
    Call for Papers Joint Conference on Digital Libraries (JCDL 2004) Global Reach and Diverse Impact June 7-11, 2004 Tucson, Arizona, USA http://www.jcdl2004.org/ Jointly sponsored by Association for Computing Machinery (ACM) Special Interest Group on Information Retrieval (SIGIR) Special Interest Group on Hypertext, Hypermedia, and the Web (ACM SIGWEB) and Institute of Electrical and Electronics Engineers Computer Society (IEEE Computer Society) Technical Committee on Digital Libraries (TCDL) In cooperation with The American Society for Information Science and Technology (ASIS&T) Coalition for Networked Information DELOS Network of Excellence on Digital Libraries The Joint Conference on Digital Libraries is a major international forum focusing on digital libraries and associated technical, practical, and social issues. JCDL encompasses the many meanings of the term “digital libraries,” including (but not limited to) new forms of information institutions; operational information systems with all manner of digital content; new means of selecting, collecting, organizing, and distributing digital content; digital preservation and archiving; and theoretical models of information media, including document genres and electronic publishing. The intended community for this conference includes those interested in aspects of digital libraries such as infrastructure; institutions; metadata; content; services; digital preservation; system design; implementation; interface design; human-computer interaction; performance evaluation; usability evaluation;
    [Show full text]
  • Citeseerx: 20 Years of Service to Scholarly Big Data
    CiteSeerX: 20 Years of Service to Scholarly Big Data Jian Wu Kunho Kim C. Lee Giles Old Dominion University Pennsylvania State University Pennsylvania State University Norfolk, VA University Park, PA University Park, PA [email protected] [email protected] [email protected] ABSTRACT access to a growing number of researchers. Mass digitization par- We overview CiteSeerX, the pioneer digital library search engine, tially solved the problem by storing document collections in digital that has been serving academic communities for more than 20 years repositories. The advent of modern information retrieval methods (first released in 1998), from three perspectives. The system per- significantly expedited the process of relevant search. However, spective summarizes its architecture evolution in three phases over documents are still saved individually by many users. In 1997, three the past 20 years. The data perspective describes how CiteSeerX computer scientists at the NEC Research Institute (now NEC Labs), has created searchable scholarly big datasets and made them freely New Jersey, United States – Steven Lawrence, Kurt Bollacker, and available for multiple purposes. In order to be scalable and effective, C. Lee Giles, conceived an idea to create a network of computer AI technologies are employed in all essential modules. To effectively science research papers through citations, which was to be imple- train these models, a sufficient amount of data has been labeled, mented by a search engine, the prototype CiteSeer. Their intuitive which can then be reused for training future models. Finally, we idea, automated citation indexing [8], changed the way researchers discuss the future of CiteSeerX.
    [Show full text]
  • V Seminar INVALSIDATA:A TOOL for TEACHING
    V Seminar INVALSI DATA: A TOOL FOR TEACHING AND SCIENTIFIC RESEARCH February 25th-28th, 2021 ROME 1 2 INTRODUCTION The Seminar "INVALSI data: a tool for teaching and scientific research", now at its fifth edition, has become in recent years an opportunity for meeting and discussion on the use of National Surveys INVALSI results and, in general, on the world of evaluation and school. Evaluation does not only mean standardized monitoring of learning levels, but also evaluation and comparison of its functions and potential in relation to the practices and tools through which the school system is able to carry out its educational and formative mission. This year, keynotes of national and international experts were organized on issues related to the evaluation of the education system and the use of data to support school policies. One of the objectives of the seminar was to bring the world of scientific research and schools closer together in order to build a privileged and concrete space in which enriching the debate by sharing ideas and experiences between education and research stakeholders. The variety of topics improve a multidisciplinary approach to evaluation in the educational and school field, trying to give an account of the contribution that schools can provide to society by making possible the development of knowledge and skills. The Seminar is organised by the research group of Area 2 - Statistical Service: Patrizia Falzetti (Manager), Cecilia Bagnarol, Andrea Bendinelli, Leonardo Boulay, Emiliano Campodifiori, Michele Cardone, Silvia Donno, Paola Giangiacomo, Patrizia Giannantoni, Jana Kopecna, Giuseppina Le Rose, Francesca Leggi, Michele Marsili, Monica Papini, Veronica Pastori, Veronica Riccardi, Maria Carmela Russo, Chiara Sacco, Antonio Severoni, Valeria F.
    [Show full text]
  • Dusan Agrez University of Ljubljana, Slovenia Teodoro Aguilera
    Dusan Agrez University of Ljubljana, Slovenia Teodoro Aguilera University of Extremadura, Spain Mohammad Alsharman University of Waterloo, Canada Davorin Ambrus University of Zagreb, Croatia Daniel Belega University Politehnica of Timisoara, Romania Krzysztof Brzostowski Wroclaw University of Science and Technology, Poland Sebastian Budzan Silesian University of Technology, Poland Thiago Cabral State University of Campinas, Brazil Riccardo Carotenuto University of Reggio Calabria, Italy Andrea Cataldo University of Salento, Italy Chao Chen Southeast University, China Panteleimon Chriskos Aristotle University of Thessaloniki, Greece Lorenzo Ciani DINFO - University of Florence, Italy Devarshi Das Indian Institute of Technology Ropar, India Mehdi Davoudi Department of Electrical Engineering, Politecnico di Milano, Italy Alessio De Angelis University of Perugia, Italy Guido De Angelis Regione Umbria, Italy 2019 Outstanding Reviewers Transactions on Instrumentation and Measurement Bruno De Castro São Paulo State University, Brazil Luca De Vito University of Sannio, Italy Giuseppe Di Leo University of Salerno, Italy Kang Donghoon Korea Institute of Science and Technology, Republic of Korea Yavuz Ege BAU Necatibey Education Faculty, Turkey Güvenir Esen Turkish Standards Institution, Turkey Daniele Fontanelli Universita' di Trento, Italy Mohamad Forouzanfar Stanford Research Institute (SRI) , United States of America David Forsyth Henan Polytechnic University, China Guglielmo Frigo Swiss Federal Institute of Technology (EPFL), Switzerland Yuan Gao Apple Inc, United States of America Wenpeng Gao Harbin Institute of Technology, China Fei Gao College of Computer, Zhejiang University of Technology, China Boby George Indian Institute of Technology Madras, India Carlo Guarnieri Calò Carducci RWTH Aachen University, Germany Hamed Hamzehbahmani Durham University, United Kingdom Yonghui Hu North China Electric Power University, China 2019 Outstanding Reviewers Transactions on Instrumentation and Measurement Jiabin Jia University of Edinburgh, United Kingdom Sakol Julrat U.S.
    [Show full text]
  • AI and Computational Logic and Image Analysis (AI) Track Co-Chairs: C.C
    AI and Computational Logic and Image Analysis (AI) Track Co-Chairs: C.C. Hung, School of Computing and Soft. Eng., USA Agostinho Rosa, LaSEEB –ISR – IST, Portugal An Evidential Approach in Ensembles Yaxin Bi, University of Ulster, UK Werner Dubitzky, University of Ulster, UK Solving First-Order Constraints in the Theory of Finite or Infinite Trees Khalil Djelloul, Laboratoire d’Informatique Fondamentale de Marseille, France Thi-Bich-Hanh Dao, Laboratoire d’Informatique Fondamentale d’Orleans, France A Small-World Model of the Human Mind Jose Luis Malaquias, University Coimbra, Portugal Agostinho Claudio da Rosa, ISR-LaSEEB, Portugal Carlos Maunel BA Correia, University Coimbra, Portugal Facial Emotion Recognition by Adaptive Processing of Tree Structures Jia-Jun Wong, Nanyang Technological University, Singapore Siu-Yeung Cho, Nanyang Technological University, Singapore Adaptive Dynamic Run-length Coding for Image Segmentation Sara Arasteh, Southern Polytechnic State University, USA Chih-Cheng Hung, Southern Polytechnic State University, USA Enmin Song, Huazhong University of Science and Technology, China On Handling Conflicts between Rules with Numerical Features Tony Lindgren, Stockholm University and Royal Institute of Technology, Sweden Poster Papers A Quantitative Analysis of Implicational Paradoxes in Classical Mathematical Logic Yuichi Goto, Saitama University Jingde Cheng, Saitama University Cooperative Active Contour Model and Its Application to Remote Sensing Noriko Masumoto, Saitama University Norihiko Yoshido, Saitama University
    [Show full text]
  • Next Generation Citeseer
    Keynote Address Next Generation CiteSeer Dr. C. Lee Giles The Pennsylvania State University University Park, PA [email protected] Abstract CiteSeer, a computer and information science search engine and digital library, has been a radical departure for scientific document access and analysis. With nearly 700,000 documents, it has sometimes two million page views a day making it one of the most popular document access engines in science. CiteSeer is also portable, having been extended to ebusiness (eBizSearch) and more recently to academic business documents (SMEALSearch). CiteSeer is based on two features: actively acquiring new documents and automatic tagging and linking of metadata information inherent in an academic document's syntactic structure. Why is CiteSeer so popular? We discuss this and methods for providing new tagged metadata such as institutions and acknowledgements, new data resources and services and the issues in automation. We then discuss the next generation of CiteSeer. Bio Dr. C. Lee Giles is the David Reese Professor at the School of Information Sciences and Technology, Professor of Computer Science and Engineering, Professor of Supply Chain and Information Systems, and Associate Director of Research at the eBusiness Research Center at the Pennsylvania State University, University Park, PA. He has been associated with Princeton University, the University of Pennsylvania, Columbia University, the University of Pisa and the University of Maryland; and has taught at all of the above. His current research and consulting
    [Show full text]
  • Business Mastergbaaaa
    PROFILE OF PROF. DR. GIOVANNI BATTISTA DAGNINO Giovanni Battista DAGNINO is Professor in the Department of Economics and Business of the University of Catania, Italy, where he is Coordinator of the PhD Program in Economics and Management and Academic Director of GRIM-Group of Research on Insurance and Banking Economics and Management. In addition, he is faculty member of the European Institute for Advanced Studies in Management in Brussels, Fellow of the Strategic Planning Society in London, and Friend of the European Investment Bank Institute in Luxembourg. He has held visiting positions at the Tuck School of Business at Dartmouth, Wharton School, London Business School, IESE Business School, Grenoble Ecole de Management, the University of Mannheim and IAE Business School, Universidad Austral, Buenos Aires. In 2008-2010 he has served as Deputy Chair and Interim Chair of his Department. At the Tuck School of Business at Dartmouth he taught “Strategy Implementation” and “Coopetition Strategy” in the MBA program. At the University of Catania he teaches or has taught “Advanced Topics in Strategic Management” and “Research Methods” in the PhD program, as well “Finance and Strategic Management” and “Management of Global Financial Services” in the MSc in Corporate Finance. He graduated at Bocconi University of Milan and studied Political Science and International Affairs at the University of Palermo, before receiving his PhD from the University of Catania and MURST. He was co-chair of the 30th Anniversary Strategic Management Society Annual Conference “Strategic Management at the Crossroads” (Rome 2010), as well as of the Strategic Management Society Special Conference “New Frontiers in Entrepreneurship: Strategy Governance and Evolution” (Catania 2007).
    [Show full text]
  • Alberto ALOISIO - Short CV
    Alberto ALOISIO - Short CV Education (1988) degree in Physics, Laurea cum laude, University of Naples ‘Federico II', Italy Research Experiences, pre and post-lauream (1985) Summer Student at CERN (Geneva, Switzerland) (1989-1991) Two-year fellowship granted by Istituto Nazionale di Fisica Nucleare, Naples Faculty Positions (1991-1998) Assistant Professor (Physics) at University of Naples 'Federico II', Italy (1999-2003) Associate Professor of Physics at University of Sannio, Italy (2004-2011) Associate Professor of Physics at University of Naples ‘Federico II', Italy (2012-present) Full Professor of Physics at University of Naples ‘Federico II', Italy Teaching Experience (1991-1995) Physics II, degree in Physics, Univ. of Naples; (1995-1998) Laboratory of Physics I, degree in Physics, Univ. of Naples; (1999-2003) Experimental Physics, degree in Geology, Univ. of Sannio; (1999-2003) Laboratory of Computer Architecture, degree in Computer Science, Univ. of Naples; (2004-2011) Laboratory of Digital Systems, degree in Physics (LM), Univ. of Naples; (2012-present) Digital Electronics, degree in Physics (LM) Univ. of Naples; (2004-present) Computer Architecture, degree in Computer Science, Univ. of Naples; (2005-present) Member of the Council of the PhD School of Physics, Univ. of Naples Peer-review Activity (1999-2003) Reviewer of the Research Programs of National Interest (PRIN) of the Italian Ministry of University and Research (2004-present) Member of the Reviewer Board for the evaluation of Programs of National Interest (PRIN) (2004) Member
    [Show full text]
  • Strategic Planning Dimensions in Italian
    BUSINESS EDUCATION & ACCREDITATION ♦ Volume 4 ♦ Number 1♦ 2012 STRATEGIC PLANNING DIMENSIONS IN ITALIAN UNIVERSITIES Giovanni Bronzetti, University of Calabria Romilda Mazzotta, University of Calabria Maria Teresa Nardo, University of Calabria ABSTRACT The paper examines the strategic planning process in Italian Universities. We identify two macro strategic planning dimensions: one for the process and one for the plan substance. We create a synthetic indicator of plan and process quality. Based on quality of plan and process we create a cluster matrix of universities. We also conduct empirical research to determine if university size is correlated with quality of strategic planning. We find a positive correlation between university size and the process and plan quality. JEL: L52, O21 KEYWORDS: Strategic Planning, Italy, University INTRODUCTION trategic planning is an approach to plan the future for the university. Through strategic planning, resources are assigned to increase benefits to various stakeholders including students, employers Sand society. The tool of strategic planning is the plan that guides reallocation of resources. Formalized strategic planning develop in America during the 1950s, in the mid-1960s and throughout the 70s expanding to most large corporations (Mintzberg, 1994). In public organizations strategic planning developed during the 1980s in Anglo-Saxons contest and during the 1990s in Italy. In higher education the idea was spreading knowledge was a target to be pursued independent from the costs incurred (Kelly and Shaw, 1987). Recently however, universities face funding reductions requiring them to optimize choices. Strategic planning assumes the key role for design the future path of the university (Shirley, 1983). In other words, it has become necessary for universities to define their mission, analyze their frontiers and identify eventual growth and improvement opportunities in a competitive setting.
    [Show full text]
  • M29042904 - DAGNINODAGNINO PRINT.Inddprint.Indd Viiiviii 228/05/20128/05/2012 15:4215:42 Contributors Ix
    Contributors Asli Arikan Visiting Assistant Professor of Management and Human Resources, Max M. Fisher College of Business Ohio State University arikan_1@fi sher.osu.edu Africa Ariño Professor of General Management and Academic Director of Anselmo Rubiralta Research Center on Globalization and Strategy IESE Business School [email protected] Jay B. Barney Professor of Management and Chase Chair for Excellence in Corporate Strategy, Max M. Fisher College of Business Ohio State University [email protected] Joel A.C. Baum Professor of Strategy and Organization and Canadian National Chair in Strategic Management, Rotman School of Business University of Toronto [email protected] Arturo Capasso Professor of Corporate Governance Director of the Economics and Management Program University of Sannio at Benevento [email protected] Ramon Casadesus- Masanell Professor of Business Administration Harvard Business School [email protected] Bruno Cassiman Professor of Economics and Strategy, IESE Business School Senior Researcher at the Center for R&D and Innovation Policy viii Giovanni Battista Dagnino - 9780857938688 Downloaded from Elgar Online at 10/01/2021 12:53:05PM via free access MM29042904 - DDAGNINOAGNINO PPRINT.inddRINT.indd vviiiiii 228/05/20128/05/2012 115:425:42 Contributors ix University of Leuven [email protected] Sandro Castaldo Professor of Marketing Management Bocconi University sandro.castaldo@sda- bocconi.it Asda Chintakananda Assistant Professor Nanyang Technological University, Singapore [email protected] Maria Cristina
    [Show full text]