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In addition to quantitative methods from the positivist tradition, JIT also values methodological articles from critical research perspectives, interpretive traditions, historical perspectives, grounded theory, and action research and design science approaches.Volume 1 covers Critical Research, Grounded Theory, and Historical Approaches.
Leslie P. Willcocks is Professor of Technology, Work, and Globalization at the Department of Management at London School of Economics, UK.Chris Sauer is a senior tutor at Green Templeton College, University of Oxford, UK and an associate fellow of the Said Business School, UK.Mary C. Lacity is Curators' Professor of Information Systems and an International Business Fellow at the University of Missouri-St. Louis, US.
Introduction- Leslie Willcocks, Chris Sauer and Mary Lacity.- PART VI.DESIGN SCIENCE APPROACHES.- Chapter 19: McKay, J.,Marshall, P., and Hirschheim, R. (2012), “The design construct in informationsystems design science,” JIT, Vol.27, pp. 125–139.- Chapter 20: Arnott, D., andPervan, G., (2014) “A critical analysis of decision support systems researchrevisited: the rise of design science,” JIT,Vol 29, pp. 269-293.- Chapter 21: Hanseth, O., andLyytinen, K. (2010), “Design theory for dynamic complexity in informationinfrastructures: the case of building the internet.” JIT, Vol. 25, pp. 1-19.- Chapter 22: Heinrich, L., andRiedi, R. (2013), “Understanding the dominance and advocacy of thedesign-oriented research approach in the business informatics community: ahistory-based examination,” JIT, Vol.28, pp. 34-49.- Chapter 23: Salmela, H. (2008),“Analysing business losses caused byinformation systems risk: a businessprocess analysis approach,” JIT, Vol.23, pp. 185-202.- PART VI. ALTERNATIVEAPPROACHES.- Chapter 24: Price, R., andShanks, G. (2005), “A semiotic information quality framework: development andcomparative analysis,” JIT, Vol. 20,pp. 88-120.- Chapter 25: Merali, Y. (2006),“Complexity and Information Systems: the emergent domain,” JIT, Vol. 21. Pp. 216-228.- Chapter 26: Wilson, M. (2004),“A conceptual framework for studying gender in information systems research,” JIT, Vol. 19, pp. 81-92.