Title: Examining cultural effects on distributed decision-making processes using keyword analysis and data mining techniques

Authors: Norhayati Zakaria; Derrick L. Cogburn; Pradnya Satish Khadapkar; Claudia Louis

Addresses: Faculty of Business and Management, University of Wollongong in Dubai, Room 1-02, Block 15, Dubai Knowledge Village, P.O. Box 20183, Dubai, UAE. ' International Communication Program, School of International Service, American University, Room 245, 4400 Massachusetts Ave NW, Washington, DC 20016-8071, USA. ' School of Information Studies, Syracuse University, 221 Hinds Hall, Syracuse, NY, 13244, USA. ' School of Information Studies, Syracuse University, 221 Hinds Hall, Syracuse, NY, 13244, USA

Abstract: This empirical study employs a keyword analysis and text mining technique using the Provalis mixed methods research suite to examine the following research question, "What is the impact of cultural context on decision-making processes in global virtual teams (GVTs) of transnational civil society?" Our approach to cultural context is primarily driven by Hall's (1976) theory of high vs. low context dimensions and Hofstede's (1980, 2001, 2005) five-dimensional framework for analysing culture. Our four-stage conceptual model of decision-making draws on Zakaria (2006), Kingdon (1995), Adler (2002), and Güss (2002). We further explore this model of culture and decision-making with data from a four-year public e-mail archive (2002-2005) of the GVT of transnational civil society involved in UN World Summit on Information Society (WSIS). From a methodological perspective, we find that for our explicit cultural variables (gender and region), keyword content analysis and data mining techniques are powerful tools to unlock massive datasets. In contrast, for our implicit cultural variables (high-context and low-context communication styles and cultural values), these techniques were not yet as helpful.

Keywords: global virtual teams; cultural values; distributed decision making; transnational civil society; data mining; keyword analysis; QDA miner; culture; teamwork; cultural variables; gender; region.

DOI: 10.1504/IJBSR.2012.047929

International Journal of Business and Systems Research, 2012 Vol.6 No.3, pp.313 - 335

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 15 Jul 2012 *

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