-------- Original-Nachricht -------- Betreff: [isworld] CFP: ISF Special issue on Modeling knowledge work and communication in network enterprises Datum: Sun, 26 Apr 2009 14:24:18 -0500 Von: Ashish Gupta gupta@mnstate.edu Antwort an: Ashish Gupta gupta@mnstate.edu An: AISWORLD Information Systems World Network isworld@lyris.isworld.org
Call for papers Information Systems Frontiers special issue Modeling knowledge work and communication in network enterprises
Best papers from HICSS 2010 minitrack on "Analytical and Simulation Models for Knowledge, Enterprise, and Service Networks" will be also be fast tracked for publication in the special issue of Information Systems Frontiers. For more details, please visit http://www.hicss.hawaii.edu/hicss_43/minitracks/dt-asm.htm
Knowledge work processing plays a pivotal role in the efficient and effective functioning of any enterprise. Over the past few years, researchers and practitioners have made tremendous progress in terms of developing innovative tools and technologies that have improved users abilities to capture increasing volumes of information and process more work in short timeframes. Several of the new communication technologies, ubiquitous mobile and computing devices are posing greater demands on the knowledge worker's time and attention in a work environment that is now even more technologically and socially wired than ever before. Although there is clearly some benefit of this constant connectivity, there are also numerous reports of increased stress, cognitive overload, interruptions, turnover, and productivity loss, along with several other negative effects. Despite making significant progress towards streamlining organizational workflow processes with the aid of various technologies, researchers have given little attention to various direct and indirect economic, time and performance implications of having to process so much information in a timely manner. Service organizations such as health care industry, call centers, IS development firms, etc. where knowledge work is the primary output are particularly impacted by the potential waste of time and effort. What is now needed is a systematic study of key organizational communication technologies to develop theories and methods to guide effective and efficient use of these technologies. Analytically robust solutions need to be developed from several different areas such as simulation modeling, social network analysis, human-computer interaction, information ergonomics, queuing theory, stochastic programming, game theory, micro-economic theory and other modeling or empirical approaches to help improve the performance of these technologies as their effects permeates more deeply into work and family life.
The scope of this special issue, thus, is to a) focus on a vast majority of cross-disciplinary analytical, simulation, and modeling approaches of scientific and practical value that can be used to identify strategies and suggest improvements in the knowledge work processing within service enterprises, b) mathematical, economic, and simulation models of work flow and information processing (strategies), c) innovative and scientifically robust models representing emerging problems or phenomena of importance, d) models of knowledge worker's behaviors.
Suggested Topics: . Modeling problems, new issues, and phenomena of significant currency and interest under the service science paradigm . Modeling processes in service enterprises and other multidisciplinary domains/networks such as healthcare, transportation, security related networks, supply chain networks, open source networks, crime networks, social networks, biological networks, accounting and financial networks, etc. . Innovative analytical and simulation models of individuals and networks in the emerging areas of science and technology . Modeling large (or small) scale service, knowledge or social systems (networks) . Modeling emerging economic paradigms . Modeling IT and Cyber infrastructure . Modeling technology based communication within and across organizations, such as email, instant messaging, web 2.0 technologies, and communication through social networking technologies . Modeling concepts and phenomenon in enterprises, service and knowledge networks such as creativity, decision making, information overload, stress, social capital, productivity, etc. . Modeling Knowledge work and decision making processes . Modeling and analysis of individual or network level communication processes and strategies, types and characteristics of communication networks. . Economic and game-theoretic models of information and knowledge processing . Behavior Modeling- analytical and mathematical models of different human behaviors . Agent based modeling and systems dynamics models of communication and information flow in service and knowledge networks . Social network analysis of communication and collaborative networks . Analytical models of time and memory and their influence on knowledge work processing
Journal Special Issue Guest Editors Joseph Barjis, Delft University of Technology, The Netherlands: J.Barjis@TUDelft.NL Ashish Gupta, Minnesota State University Moorhead, USA, gupta@mnstate.edu Ramesh Sharda, Oklahoma State University, USA, ramesh.sharda@okstate.edu
HICSS minitrack Chairs Ashish Gupta, Ramesh Sharda, Joseph Barjis (Please visit HICSS website for minitrack submission deadline)
Submission Process for Journal Special Issue: Key Dates for Information Systems Frontiers Journal submission:
Paper Submission: Aug 21, 2009 Authors Notification: Sept 26, 2009 Final Submission: Oct 9, 2009 Projected Publication: 2010
Manuscripts must be submitted in Microsoft Word or LaTeX2E format no later than August 21, 2009 to http://www.edmgr.com/isfi/ (please specify "For Special Issue on Modeling Knowledge Work and Communication in Networked Enterprises" in the submission). Manuscripts should be within 34 pages long, double spaced, including references. More information for manuscript style can be found at Springer's website (http://www.springer.com/business/business+information+systems/journal/10796 ). Manuscripts must not have been previously published or currently submitted for journal publication elsewhere. All submissions will be peer reviewed.
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