and the rapid pace of technological change in combination with escalating costs of research and development (Frishamar, 2002). The role of information technology (IT) has shifted over the last decades (Teng & Calhoun, 1996) to become an important part of how companies manage and control their resources. Organizations are responding in different ways and at different rates to the wide range of IT based opportunities and pressures (Johnson et al., 1986). Decisions regarding the building of technical
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Available online at www.sciencedirect.com International Journal of Project Management 27 (2009) 182–193 www.elsevier.com/locate/ijproman Rethinking IT project management: Evidence of a new mindset and its implications Chris Sauer a,*, Blaize Horner Reich b b a Fellow in Information Management, Saıd Business School, University of Oxford, Egrove Park, Oxford OX1 5NY, UK ¨ Professor, Segal Graduate School of Business, Simon Fraser University, 500 Granville Street, Vancouver, BC, Canada V6C 1W6
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OVERVIEW Qualitative Research Methods: A Data Collector’s Field Guide Module 1 Qualitative Research Methods Overview F A M I L Y H E A L T H I N T E R N A T I O N A L Qualitative Research Methods Overview OVERVIEW T • • • • • • his module introduces the fundamental elements of a qualitative approach to research, to help you understand and become proficient in the qualitative methods discussed in subsequent modules. We recommend that you consult the suggested readings
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3 4. Literature Review 4 5. Scope of the Research 4 6. Methodology 5 6.1 Research Design 5 6.2 Sources of Data 5 6.2.1 Secondary Data 5 6.2.2 Primary Data 5 6.2.2.1 Population 5 6.2.2.2 Working Population 5 6.2.2.3 Sampling Design 5 6.2.2.4 Data Collection Method 6 6.2.2.5 Data Survey and Scaling Techniques 6 6.3 Data Analysis 7 7. Time Scale/Research Planning 7 8. Timetable 9 9. Problems of the Fact 10 10. Conclusion 10 11. Reference
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is not satisfactory. The paper includes comment on the performance of the estimation models and description of several newer approaches to cost estimation. Keywords: project estimation, effort estimation, cost models. 1. Introduction In recent years, software has become the most expensive component of computer system projects. The bulk of the cost of software development is due to the human effort, and most cost estimation methods focus on this aspect and give estimates in terms of person-months
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programming stages have created a number of problems turning software an obstacle to software development particularly those relying on computers. Software consists of documents and programs that contain a collection that has been established to be a part of software engineering procedures. Moreover, the aim of software
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Knowledge Management & Information Systems Wordcount: 1,971 As ‘by virtue of its tacitness, inimitability and immobility’ (Scarbrough & Shan, 1999, p.359) knowledge is increasingly considered to give a competitive advantage. We can identify two types of knowledge: explicit and tacit knowledge. Explicit knowledge refers to the ‘know what’ that can be codified hence, that can be communicated and diffused (Scarbrough, 2011). Tacit knowledge, on the other hand is ‘The
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Aggarwal, hereby declare that the documentation titled “UNDERSTANDING CONSUMER BEHAVIOUR TOWARDS ONLINE SHOPPING OF CLOTHES” is submitted for the partial fulfillment of the requirement of the award for the award of the MBA (Marketing) is my sole project work and has been carried out under the guidance of Prof. Dilip Chandra, Professor, Christ University, Bangalore. I also declare that this dissertation has not been submitted for any degree, diploma or fellowship or any other title in this University
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Journal of Operations Management 24 (2006) 440–457 www.elsevier.com/locate/jom Disentangling leanness and agility: An empirical investigation Ram Narasimhan a,*, Morgan Swink a, Soo Wook Kim b,1 a Department of Marketing and Supply Chain Management, Eli Broad College of Business, Michigan State University, East Lansing, MI 48824, United States b College of Business Administration, Seoul National University, San 56-1, Sillim-dong, Kwanak-gu, Seoul, Korea Received 20 May 2004; received in revised
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IDRIS, (I/C Number: 911026105140) Hereby, declare that: This work has not previously been accepted in substance for any degree, locally or overseas, and is not being concurrently submitted for this degree or any other degrees. This project-paper is the result of my independent work and investigation, except where otherwise stated. All verbatim extracts have been distinguished by quotation marks and sources of my information have been specifically acknowledged. Signature:
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