Rosanna Garcia

Assistant Professor                                                                                                                                           Back to Previous Page

 

Research Interests       Links       CBA Home       NU Home

 

Complexity Theory

Marketing

 

http://www.unifr.ch/econophysics/PHP/formulaire/redirect.php?year=2002&code=cond-mat/0204141&version=abs "Modelling diffusion of innovations in a social network"

X. Guardiola, A. Diaz-Guilera, C. J. Perez, A. Arenas, M. Llas

An extended network model with a packet diffusion process, Pages 221-227 C. Pigorsch and S. Trimper

http://www.sciencedirect.com/science/article/B6TVM-465N7XV-/1/1c6d79d95c9d2556d144ed023bf6e986

Juan Larrosa, Fernando Tohmé

http://jlarrosa.tripod.com/research/research_nfha.html

http://www.santafe.edu/sfi/publications/wpabstract/200204018

Jeffrey Church (Department of Economics, University of Calgary) ; Neil Gandal (Department of Public Policy, Tel Aviv University; Centre for Economic Policy Research) ; David Krause (Department of Economics, The University of Lethbridge)

Abstract: The conventional wisdom is that indirect network effects, unlike direct network effects, do not give rise to externalities. In this paper we show that under very general conditions, indirect network effects lead to adoption externalities. In particular we show that in markets where consumption benefits arise from hardware/software systems, adoption externalities will occur when there are (i) increasing returns to scale in the production of software, (ii) free-entry in software, and (iii) consumers have a preference for software variety. Keywords: Network Externalities, Network Effects

Downloads: http://d.repec.org/n?u=RePEc:wpa:wuwpmi:0301001

Microeconomics / Economics Working Paper Archive at WUSTL

Jukka Nyblom, Steve Borgatti, Juha Roslakka and Mikko A. Salo

http://www.sciencedirect.com/science/article/B6VD1-47T2F85-2/1/fcb1fc356be6eb11fe0c981b5b57dcfd

Windrum,Paul ; Birchenhall,Chris (MERIT)

http://d.repec.org/n?u=RePEc:dgr:umamer:2002038&r=cbe

Rob Stocker, David Cornforth and T. R. J. Bossomaier

Network Structures and Agreement in Social Network Simulations

http://jasss.soc.surrey.ac.uk/JASSS.html

 

            Advertising

 

"Social Percolation and the Influence of Mass Media"
Ana Proykova, Dietrich Stauffer

  • Flashy banner ads are no longer limited to the web -- personalised ads could soon be appearing in a shopping trolley near you

http://zdnet.com.com/2100-1103-963526.html

Simulation of Innovation Diffusion Through Social Networks

  • Abrahamson, E and Rosenkopf, L. (1997) “Social Network Effects on the extent of Innovation Diffusion: A Computer Simulation”, Organization Science, 8(3), May-June, pp. 289-309.
  • Axelrod, Robert (1997) “The Dissemination of Culture: A Model with Local Convergence and Global Polarization”. Journal of Conflict Resolution, 4(2), pp. 203-226. [Simulation of cultural exchanges on a lattice where sites interact on the basis of probabilities with nearby sites with similar culture.]
  • Buskerns, Vincent Wilem (1999) Social Networks and Trust (Amsterdam: Thela Thesis), chapter 4.

http://www.fss.uu.nl/soc/iscore/staff/buskens.htm

  • Buskens, Vincent and Yamaguchi, Kazao (1999) ‘A New Model for Information Diffusion in Heterogeneous Social Networks’, In Becker, Mark and Sobel, Michael (eds.) Social Methodology 1999 (Oxford: Balckwell), pp. 281-325.

http://www.fuss.uu.nl/soc/iscore/papers/paper070.pdf

  • Carley, Kathleen (1991) ‘A Theory of Group Stability’, American Sociological Review, 56, pp. 331-354.

http://www.jstor.ac.uk

  • Carley, Kathleen M. (1991) ‘Growing Up: The Development and Acquisition of Social Knowledge’, in Howard, Judith A. and Callero, Peter L. (eds.) The Self-Society Dynamic: Cognition, Emotion and Action (Cambridge: Cambridge University Press), pp. 75-102 [The CONSTRUCT software package that has been used for innovation diffusion studies.]
  • Castlefranci, Cristiano (2001) ‘Towards a Cognitive Memetics: Socio-Cognitive Mechanisms for Memes Selection and Spreading’, Journal of Memetics – Evolutionary Models of Information Transmission, 5.

http://wwwcpm.mmu.ac.uk/jom-emit/2001/vol5/castlefranchi_c.html

  • Chattoe, Edmund and Gilbert, Nigel (1997) ‘Modelling the adoption of Agri-Environmental measures as an Innovation Diffusion process’, paper presented at the IMAGES meeting (M1), Dolomieu, France, 8-11 September.

http://www.soc.surrey.ac.uk/~scs1ec/publications.html

  • Chattoe, Edmund and Gilbert, Nigel (1998) ‘A Basic Simulation of Information Diffusion’, paper presented at the IMAGES meeting Saint-Sauves D’Auvergne (m6), 16-18 March.

http://www.soc.surrey.ac.uk/~scs1ec/publications.html

  • Chattoe, Edmund and Gilbert, Nigel (1998) ‘Modelling the adoption of Agri-Environmental measures Using Decision Plan Nets’, paper presented at the IMAGES meeting, Clermont-Ferrand (M2), 25-29 May.

http://www.soc.surrey.ac.uk/~scs1ec/publications.html

  • Chattoe, Edmund and Gilbert, Nigel (1998) "A Simulation Specification for Innovation Diffusion Through Social Networks with Boundedly Rational Agents", paper presented at the IMAGES Meeting, Paris, 19-20 October.

http://www.soc.surrey.ac.uk/~scs1ec/publications.html

  • Chattoe, Edmund and Gilbert, Nigel (1999) "Specification of University of Surrey Simulation Version 1.1 and Proposed Developments for Version 1.2", paper presented at the IMAGES Meeting, Miramare (M3), 8-10 April.

http://www.soc.surrey.ac.uk/~scs1ec/publications.html

  • Contractor, N. S. and Grant, S. J. (1996) 'The Emergence of Shared Interpretations in Organisations', in Watt, J. and Van Lear, A. (eds.) Dynamic Patterns in Communication Processes (Thousand Oaks, CA: Sage Publications), pp. 215-230.
  • Hedstrom, Peter, Rickard Sandell, and Charlotta Stern. (2000). “Mesolevel Networks and the Diffusion of Social Movements: The Case of the Swedish Social Democratic Party.” American Journal of Sociology 106(1), pp. 45-72.
  • Hedstrom Peter (1994) ‘Contagious Collectivities: On the Spatial Diffusion of Swedish Trade Unions,’ American Journal of Sociology 99(5), pp. 1157-79
  • Jager, W. and Janssen, M.A. (2001). Multi Agent Simulation of the Behavioural Dynamics Behind the Innovation Diffusion of "Green" Products. paper to be presented at Eurosim 2001: Shaping the Future with Simulation, the 4th International EUROSIM Congress, Delft, The Netherlands, 26 - 29 June.

http://www.bdk.rug.nl/medewerkers/w.jager/

  • Krackhardt, David (1997), ‘Organizational Viscosity and Diffusion of Controversial Innovations,’ Journal of Mathematical Sociology. 22:177-199. [Contrasted with Carley’s Construct]
  • Plouraboue F., Steyer, A. Zimmermann, J.B. (1998) ‘Learning Induced Criticality in Consumer's Adoption Pattern: a neural network approach’, Economics of Innovations and New technologies, 6, pp. 73-90.
  • Steyer, A & Zimmermann, J. B. (1997) ‘On the Frontier : Structural Effects in a Diffusion Model Based on Influence Matrixes’, GREQAM Working Paper Series 97A14

http://netec.mcc.ac.uk/BibEc/data/Papers/fthaixmeq97a14.html

  • Steyer A. and Zimmermann J.B., (2000) ‘Self Organised Criticality in Economic and Social Networks: The case of innovation diffusion’, proceedings of the Workshop on Economics and Heterogeneous Interacting Agents, Marseille

 

E-Commerce

 

  • Decision Support Systems Volume 34, Issue 2, Pages 125-221 (January 2003)

Special issue on e-commerce

Agent and e-business models, Page 125 Wooju Kim and Jae Kyu Lee

http://www.sciencedirect.com/science/article/B6V8S-45X2SFH-1/1/f02ce1f6e178bee71eb4d64fba3b9b46

  • Personalized location-based brokering using an agent-based intermediary architecture, Pages 127-137

Gaurav Tewari, Jim Youll and Pattie Maes

http://www.sciencedirect.com/science/article/B6V8S-462BJDN-1/1/380c61c11151a7f07135042238cf60ba

  • A personalized and integrative comparison-shopping engine and its applications, Pages 139-156

Soe-Tsyr Yuan

http://www.sciencedirect.com/science/article/B6V8S-45W36J1-1/1/516d62f475d5ba606af052afb239d4c1

  • Agent-based e-marketplace system for more fair and efficient transaction, Pages 157-165

Namo Kang and Sangyong Han

http://www.sciencedirect.com/science/article/B6V8S-45X2SFH-3/1/1203763db9aef42cbce65fa998872546

  • Combination of multiple classifiers for the customer's purchase behavior prediction, Pages 167-175

Eunju Kim, Wooju Kim and Yillbyung Lee

http://www.sciencedirect.com/science/article/B6V8S-45TTSH7-1/1/f065e1ca7a9d0a4e7154d932674ab944

  • New tools for the determination of e-commerce inhibitors, Pages 177-195

Roger Debreceny, Martin Putterill, Lai-Lai Tung and A. Lee Gilbert

http://www.sciencedirect.com/science/article/B6V8S-45TY6DP-1/1/4f6422b7327acdd285bcc9b2aefd5abc

  • Buyer's customized directory management over sellers' e-catalogs: logic programming approach, Pages 197-212

Young Hee Joh and Jae Kyu Lee

http://www.sciencedirect.com/science/article/B6V8S-45TTSH7-4/1/3107239896baba68c9a71de51f76f823

  • Collect now-consume later on innovative products in electronic commerce, Pages 213-221

Hardy Hanappi and Oliver Kump

http://www.sciencedirect.com/science/article/B6V8S-45TTSH7-2/1/828fb0835c3cb4145d038f5d351b292c

 

Supply Chain Channels

 

  • "Mapping vendor spaces using high-level relations,"

Doug Bryan, Society of Industrial and Applied Mathematics (SIAM) 1st Intl. Conf. on Data Mining, workshop on Web Mining, April 2001.

http://pavg.stanford.edu/people/bryan/VS_SDM2001.pdf

  • Some screen shots from the "vendor spaces" tool. Keep in mind that this is a research prototype; namely, the graphs have not been reduced to increase readability.

http://pavg.stanford.edu/people/bryan/VS_screen_shots.pdf

  • A short note on how the vendor spaces tool can be used to produce social nets of people.

http://pavg.stanford.edu/people/bryan/VS_Minsky.pdf

  • Agent-enabled supply chain network -- Procter and Gamble's use of agent-based modeling helped it transform its supply chain system so fundamentally that the company no longer even calls it a supply chain.

http://www.computerworld.com/printthis/2003/0,4814,77855,00.html

 

Miscellaneous

 

  • Pricing and the Internet: Frictionless Commerce or Pricer's Paradise?, Pages 680-687

Fabio Ancarani

http://www.sciencedirect.com/science/article/B6V9T-479T2C1-J/1/c48ec606543f3d9c8768d6fa7f54baf0

  • Response preference in organizational behavior research: do respondents to classical and internet surveys possess different psychological characteristics?

Steven Mestdagh ; Marc Buelens

Abstract: The Internet has become a widespread tool for conducting research in organizational behavior. Little is known, however, of the psychological characteristics of Internet users. In the present study, differences in motivation, satisfaction, behavioral patterns and work outcomes are examined among respondents who had the choice of either filling in an online or a traditional pen-and-paper version of a large-scale Flemish survey (N=5853). Participants in both groups were mostly professional workers. Keywords: Internet Surveys; Organizational Behavior

Downloads: http://d.repec.org/n?u=RePEc:vlg:vlgwps:2003-1

Vlerick Leuven Gent Management School Working Paper Series

  • Using Evolutionary Algorithm Techniques for the Analysis of Data in Marketing

Kevin Voges (Griffith University), The Cyber-Journal of Sport Marketing 

http://pandora.nla.gov.au/nph-arch/H1998-Sep-2/http://www.cad.gu.edu.au/cjsm/VogesNo21.html

Abstract:  New approaches to problem solving and data analysis developed in the engineering and physical sciences are directly applicable to research activities in the social, behavioural and business sciences.    These techniquesuse theoretical concepts developed from the study of adaptive systems in nature, and include  approaches such as artificial neural networks and evolutionary algorithms. Conceptually all  approaches involve a process whereby a number of basic solution structures self-organise themselves towards better solutions as an adaptation to an external environment. The concept of an adaptive system can be applied to the analysis of data sets of the type traditionally investigated in marketing.