Using cellular automata to simulate electronic commerce receptivity in small organisations

Technological Forecasting and Social Change

Volumn 74, Issue 6, 2007, Pages 798-818

  Zupan, Neja ^a  

^a UNIVERSITY OF MARIBOR   (Slovenia)

Author keywords

Cellular automata; Diffusion model; Electronic commerce; Maturity level; Opinion dynamics

Indexed keywords

CELLULAR AUTOMATA; DECISION MAKING; MATHEMATICAL MODELS; SOCIETIES AND INSTITUTIONS;

DIFFUSION MODEL; MATURITY LEVEL; OPINION DYNAMICS;

ELECTRONIC COMMERCE;

CELLULAR AUTOMATON; E-COMMERCE; METHODOLOGY; MODEL; SIMULATION;

EURASIA; EUROPE; SLOVENIA; SOUTHERN EUROPE;

EID: 34249651394     PISSN: 00401625     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.techfore.2006.06.003     Document Type: Article

References (39)

1. Kendall J.D., Tung L.L., Chua K.H., Hong C., Ng D., and Tan S.M. Receptivity of Singapore's SMEs to electronic commerce adoption. J. Strateg. Inf. Syst. 10 3 (2001) 223-242
2. Sadowski B.M., Maitland C., and van Dongen J. Strategic use of the internet by small- and medium-sized companies: an exploratory study. Info. Econ. Pol. 14 1 (2002) 75-93
3. Kim C., and Galliers D.R. Toward a diffusion model for Internet systems. Internet Res. 14 (2004) 55-166
4. Bahr D.B., and Passerini E. Statistical mechanics of collective behavior: macro-sociology. J. Math. Sociol. 23 1 (1998) 29-49
5. Hegselmann R. Cellular automata in the social sciences-perspectives, restrictions, and artefacts. In: Hegselmann R., Troitzsch K.G., and Mueller U. (Eds). Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View (Theory and Decision Library) (1996), Kluver, Dordrecht 209-234
6. Urbig D. Attitude dynamics with limited verbalisation capabilities. JASSS 6 1 (2003). http://jasss.soc.surrey.ac.uk/6/1/2.html
7. Iacovou C.L., Benbasat I., and Dexter A.S. Electronic data interchange and small organisations: adoption and impact of technology. MIS Q. (December 1995) 465-484
8. N. Zupan, R. Leskovar, Electronic commerce expectations in small enterprises - influence of organisational characteristics. V: Florjancic, Joze (ur.), Paape, Björn (ur.). Organisation and management: selected topics. Frankfurt am Main [etc.]: P. Lang, 163-180 (2003).
9. Prescott M.B., and VanSlyke C. Understanding the Internet as an innovation. Ind. Manage. Data Syst. 97 3-4 (1997) 119-124
10. Webopedia, http://www.webopedia.com/TERM/e/electronic_commerce.html, Accessed October 2 (2002).
11. Chattoe E., and Gilbert N. Accepting government payment for new agri-environmental practices: a simulation approach to social complexity. XVIII Congress of the European Society of Rural Sociology: How to be Rural in Late Modernity - Process, Project and Discourse, Lund, Sweden, 24-28 August (1999) 1-26
12. Grant S. E-commerce for small businesses. In: Leng, et al. (Ed). Innovation Through Electronic Commerce, Proceedings of the 2nd international conference (IeC'99), Manchester, England. November 1-3 (1999) 65-72
13. Teltscher S. E-Commerce Readiness Guide, Measuring Electronic Commerce in Developing Countries (2001). http://www.spbo.unibo.it/sdic/img/s_event/susanne_teltscher.pdf http://www.spbo.unibo.it/sdic/img/s_event/susanne_teltscher.pdf
14. C.E.Wolrath, Secure Electronic Transaction, Master's thesis in Computer science, http://www.wolrath.com/set.html, (1998).
15. Wolfe R. Organisational innovation: review, critique and suggested research directions. J. Manag. Stud. 31 3 (1994) 405-431
16. Fichman R. Information technology diffusion: review of empirical research. Proceedings of the 13th International Conference on Information Systems, Dec. 13-16 (1992) 195-206
17. Swanson E. Information system innovation among organisations. Manage. Sci. 40 9 (1994) 1069-1092 Str
18. Cooper R.B. Information technology development creativity: a case study of attempted radical change. MIS Q. 24 2 (Jun 2000) 245-276
19. Prescott M.B., and Conger S.A. Information technology innovations - a classification by it locus of impact and research approach. Data Base Adv. Inf. Syst. 26 2-3 (May-Aug 1995) 20-41
20. Attewell P. Technology diffusion and organizational learning - the case of business computing. Organ. Sci. 3 1 (Feb 1992) 1-19
21. Lyytinen K., and Damsgaard J. What's wrong with the diffusion of innovation theory. The case of a complex and networked technology. IFIP 8.6. Conference, Banff, Canada PDF-file (2001)
22. IMAGES. Final Report. http://wwwlisc.clermont.cemagref.frx/ImagesProject/FinalReport (accessed on 23.06.2002).
23. Wolfram S. Theory and Applications of Cellular Automata (1986), World Scientific Publishing Co. Pte Ltd., Singapore
24. Hegselmann R., Liebrand W.B.G., and Nowak A. Computer Modeling of Social Processes (1998), Sage, Thousand Oaks
25. Nowak A., and Lewenstein M. Modelling social change with cellular automata. In: Hegselmann R., Mueller U., and Troitzsch K. (Eds). Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View (1996), Kluwer, Dordrecht
26. Hegselmann R., and Flache A. Understanding complex social dynamics: a plea for cellular automata based modelling. JASSS 1 3 (1998). http://www.soc.surrey.ac.uk/JASSS/1/3/1.html http://www.soc.surrey.ac.uk/JASSS/1/3/1.html
27. Goldenberg J., and Efroni S. Using cellular automata modelling of the emergence of innovations. Technol. Forecast. Soc. Change 68 3 (2001) 293-308
28. Moldovan S., and Goldenberg J. Cellular automata modelling of resistance to innovations: effects and solutions. Technol. Forecast. Soc. Change 71 5 (Jun 2004) 425-442
29. Wittmann J. Ein Discussionsbeitrag zur Problematik der Validierung von individuenorientierten Modellen. Keller, Grutzner, Sonnenshein:Werkzeuge fur Simulation und Modellbildung in Umweltanwendungen, Forschungzentrum Karelsruhe (1997)
30. Uradni list (UL) Republike Slovenije, 30/93, (1993).
31. RIS. Raba Interneta v Sloveniji: Elektronsko Poslovanje - Podjetja (Electronic Commerce - Organisations) (2001). http://www.ris.org.jun http://www.ris.org.jun
32. Deffuant G., Skerratt S., Amblard F., Ferrand N., Chattoe E., Gilbert N., and Weisbuch G. Agent Based Simulation of Decision Process Mixing Rational Reasoning and Influences From Socio-informal Networks: Case Studies of Agri-environmental Measures Adoption by Farmers (1999). http://www.lisc.Clermont.Cemagref.Fr/Imagesproject/Finalreport/References_List.Htm Http://www.lisc.Clermont.Cemagref.Fr/Imagesproject/Finalreport/References_List.Htm.
33. Weisbuch G., and Boudjema G. Dynamical aspects in the adoption of agri-environmental measures. Adv. Complex Systems 2 (1999) 11-36
34. Trommsdorff V. Konsumentenverhalten. third edition (1998), Kohlhammer, Stuttgart; Berlin; Köln
35. Chong Y.L. Model of factors influences on electronic commerce adoption and diffusion in small- and medium-sized enterprises. Proceedings: ECIS Doctoral Consortium, AIS region 2 (Europe, Africa, Middle-East) (June 2001) 24-26
36. Tiessen J.H., Wright R.W., and Turner I. A model of e-Commerce use by internationalizing SMEs. J. Internat. Manag. 7 (2001) 211-233
37. Sadowski B.M., Maitland C., and van Dongen J. Strategic use of the internet by small- and medium-sized companies: an exploratory study. Info. Econ. Pol. 14 1 (2002) 75-93
38. EUROSTAT. Science and Technology Indicators. Information Society. http://epp.eurostat.cec.eu.int/portal/page?_pageid=1996,45323734 and_dad=portal and_schema=PORTAL and screen=welcomeref and open=/I/I5 and language=en and product=Yearlies_new_science_technology and root=Yearlies_new_science_technology and scrollto=0 (accessed 01.04.2006).
39. Statistical office of the Republic of Slovenia, Business Demography, 1999-2002, Enterprises, Slovenia (1999-2003), Performance of enterprises by activity, 1995-2002, http://www.stat.si/tema_ekonomsko_poslovni.asp, accessed (2004).