Abstract-Business Process Reengineering (BPR) has become a popular managerial tool to deal with dramatic technological and business changes in today's competitive environment. BPR help organizations to throw away their old fashioned processes to achieve new heights of success. However, BPR implementation is a difficult task. Literature indicates that many organizations have failed to achieve the expected results. The present study attempts to throw more light to the subject. Through a comprehensive review of literature, critical success factors (CSF) that influence the success of BPR programs are identified. Then, using a DEMATEL methodology, these CSF and the causal relationships among them are analyzed. Results indicate that "top management commitment", "IT infrastructure", "training" and "adequate financial resources" are of critical importance in BPR implementation projects.

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The Project Management Body of Knowledge (PMBOK) is a group of processes and knowledge fields which are generally accepted as greatest practice within the project management discipline. The PMBOK Guide is also an internationally recognized standard which provides the fundamentals of project management as they apply to a wide range of projects. PRINCE2 is a project management methodology standard in the United Kingdom and Europe. This standard is the required method for all UK government commissioned projects. PRINCE2 is in the public domain and offers best practice guidance on how to manage a project. The aim of this study is to compare PRINCE2 and PMBOK to recognize the characteristics of these best practices in order to provide decision criteria for governments with regard to selecting IT project management methodology.

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This is the first literature survey of its kind on aggregate production planning (APP) under uncertainty. Different types of uncertainty, such as stochasticity, fuzziness and possibilistic forms, have been incorporated into many management science techniques to study APP decision problem under uncertainty. In current research, a wide range of the literature which employ management science methodologies to deal with APP in presence of uncertainty is surveyed by classifying them into five main categories: stochastic mathematical programming, fuzzy mathematical programming, simulation, metaheuristics and evidential reasoning. First, the preliminary analysis of the literature is presented by classifying the literature according to the abovementioned methodologies, discussing about advantages and disadvantages of these methodologies when applied to APP under uncertainty, and concisely reviewing the more recent literature. Then, APP literature under uncertainty is analysed from management science and operations management perspectives. Possible future research paths are also discussed on the basis of identified research trends and research gaps.