scispace - formally typeset
Search or ask a question
Author

Bernard C. Y. Tan

Bio: Bernard C. Y. Tan is an academic researcher. The author has an hindex of 1, co-authored 1 publications receiving 5 citations.

Papers
More filters
George F. F Arris, Yi-Yu Chen, Albert H. Rubenstein, Dundar F. K Ocaoglu, Edward F. M Cdonough, Bernard C. Y. Tan, Jeffrey K. Pinto, A Samuel, Elizabeth B. Breene, T. Ravichandran, Joseph Sarkis, T Alluri, Paul E. Bierly, Jeffrey Liker, Mariann Jelinek, John Aje, Soenke Albers, Thomas Astebro, Adediji Badiru, Lotte Bailyn, Gloria Barczak, Jonathan F. B Ard, Mario Beruvides, Markus Biehl, Jennifer Blackhurst, Susan A. Brown, Elias Carayannis, Janice Carrillo, Rajesh Chandy, Yih-Long Chang, Patrali Chaterjee, Wynne Chin, Thomas Choi, Vivek Choudhury, Rene Cordero, Tugrul Daim, Amitava Dutta, Teri Elkins, John Ettlie, Mitchell Fleischer, Richard M. Franza, John Friar, Eliezer Geisler, Donald Gerwin, Soumen Ghosh, Shanthi Gopalakrishnan, Samuel B. Graves, Janet Hartley, David Hawk, Teck Ho, Kuo-Ting Hung, Nancy Lea Hyer, Jay Jayaram, Surinder Kahai, Atreyi Kankanhalli, Jahangir Karimi, Ralph Katz, Markus Keil, Robert T. Keller, Reza Khorramshahgol, Denis Lee, Moren Levesque, Matthew Liberatore, Harold A. Linstone, Jonathan Linton, Arvinder P. S. L Oomba, Leonard Lynn, Michael J. Magazine, Joseph P. M Artino, Sarfraz Mian, Dragan Milosevic, Saby Mitra, Samar K. Mukhopadhyay, Michael Mumford, Suresh Nair, Sridhar Narasimhan, Barrie R. Nault, Atul Nerkar, Kiyoshi Niwa, Paul Olk, Alan Porter, Simin Pulat, Thiagarajan Ravichandran, A. Ravi Ravindran, Edward B. Roberts, M. Johnny, Marguerite Schneider, Suprateek Sarker, Vicki L. Sauter, Peg Shipley, Durward Sobek, Anders Söderholm, Cheri Speier, James E. Storbeck, Mohan V. T Atikonda, Hock-Hai Teo, Christian Terwiesch, Janice Thomas, Charles W. N. T Hompson, Rey Venkataraman, Dusya Vera, Steven T. Walsh, Nasli Wasti, Kwok-Kee Wei, Andrew B. Whinston, David Wilemon, Graham M. Winch, Teresa Wu, Yen-Chun Jim Wu, Billie J. Zirger 
01 Jan 2009

5 citations


Cited by
More filters
Journal ArticleDOI
01 Jan 2009
TL;DR: A methodology to exploit a specific type of domain knowledge in order to find tighter error bounds on the performance of classification via Support Vector Machines by using the ellipsoid method from optimization literature.
Abstract: In this study we describe a methodology to exploit a specific type of domain knowledge in order to find tighter error bounds on the performance of classification via Support Vector Machines. The domain knowledge we consider is that the input space lies inside of a specified convex polytope. First, we consider prior knowledge about the domain by incorporating upper and lower bounds of attributes. We then consider a more general framework that allows us to encode prior knowledge in the form of linear constraints formed by attributes. By using the ellipsoid method from optimization literature, we show that, this can be exploited to upper bound the radius of the hyper-sphere that contains the input space, and enables us to tighten generalization error bounds. We provide a comparative numerical analysis and show the effectiveness of our approach.

19 citations

Proceedings ArticleDOI
01 Aug 2007
TL;DR: In this paper, the conceptual framework of the ICT-supported unified process model of offshore software production outsourcing is used as a research model, and the authors validate this model by reviewing the large extant literature, and conducting multiple case studies from both the vendor's and client's viewpoints.
Abstract: Various important benefits can be achieved through the successful management of offshore outsourcing. Numerous studies exist on outsourcing in general, yet the large extant literature on offshore outsourcing has dealt with information technology (IT) outsourcing from the client's perspective. Several frameworks, focusing on guiding information systems managers, for IT outsourcing have been developed. However, none of these frameworks attempted to provide a holistic guideline to manage the entire process of offshore outsourcing of software production. There is a significant lack of studies dealing with the management of offshore outsourcing of software production from both the vendor's and client's perspectives. Thus, there is a great need for studying such a multifaceted and complex phenomenon more deeply from both scenarios to find out the best practices for managing the unified process. In this study, we utilize the conceptual framework of the ICT-supported unified process model of offshore software production outsourcing as our research model. We then validate this model by reviewing the large extant literature, and conducting multiple case studies from both the vendor's and client's viewpoints, where professionals with extensive experience in managing offshore outsourcing of software production are interviewed. The implications of the findings are discussed for both practical and research purposes.

14 citations

Journal ArticleDOI
TL;DR: This paper attempts to explore companies’ adoption behaviors toward the B2B cloud services that were recently deployed in the Korean market, and focuses on IaaS among B2 B cloud services provided in Korea.
Abstract: As the global recession has made it more difficult for companies to invest in IT, cloud computing have emerged as a new paradigm in the business IT as green IT. Among several types of cloud services, the Infrastructure as a Service (IaaS) solution is used by many companies in Korea. The Technology Acceptance Model(TAM) and extended model have been popularly utilized for examining how users come to accept a new information technology, but have not yet been applied to IaaS adoption of B2B cloud services. This paper attempts to explore companies’ adoption behaviors toward the B2B cloud services that were recently deployed in the Korean market. Especially, we focus on IaaS among B2B cloud services provided in Korea. In order to achieve the goal, we identified key influencing factors that affect the companies’ adoption behaviors, based on an extension of the TAM. An explorative model is proposed and a number of hypotheses are tested and analyzed. The study results can not only help company users gain insights into IaaS adoption, but also help IaaS providers improve both new cloud service development and marketing strategy

11 citations

Journal Article
TL;DR: A combination of Simulated Annealing Algorithm and the best Priority rules for solving the problem of scheduling in multi projects with limited resources that has been tested with numerical examples and makes it clear that proposed method is better than multi-applicable rules of scheduling.
Abstract: In order to perform a project, all project managers are facing with high quality standards and benefiting from shortest period of time, possible resources and continuous fights. There are a lot of social and economic factors for a project manager to have an optimized benefit from limited accessible resources either from man power point of view or reserve of materials. Various tools and several techniques are introduced within recent decades for scheduling of projects, but most of them are involved with scheduling of single projects and least for multi-projects. We can model different Courses of Action (COAs) evaluated during the operational military planning as many different activity networks. The corresponding project scheduling model is sufficiently general to be able to represent the most part of military missions. Recently, a project scheduling mathematical model has been proposed where each activity called an action in the military context has different execution modes depending on the resource combination selected. This paper is a combination of Simulated Annealing Algorithm and the best Priority rules for solving the problem of scheduling in multi projects with limited resources that has been tested with numerical examples. The numerical tests make it clear that proposed method is better than multi-applicable rules of scheduling.

3 citations

01 Jan 2014
TL;DR: In this paper, the authors examined the major causes of disputes in the construction industry and further identified the effects disputes have on projects and investigated the forms of minimizing the disputes and how to resolve them.
Abstract: The construction industry is mired in disputes. It is one of the leading industries that is involved in a number of disputes. This paper examines the major causes of disputes in the construction industry and it further identifies the effects disputes have on projects and investigate the forms of minimizing the disputes and how to resolve them. This study was conducted through the use of secondary data from the use of journals, books and internet to achieve the objective for the study. The review of literature looked into details the different views from different scholars about the causes of disputes then deduce from those views the major causes the major causes of dispute in the South Africa construction sector. The findings from the literature review showed that the major causes of disputes revolve around people, process and project characteristics. It was also mostly mentioned that project uncertainty, contractual problems and opportunistic behaviour cause construction disputes. The purpose of this academic paper was to justify the need to know the major causes of disputes in the South African construction industry and to further establish the effects disputes have on construction and to suggest ways to minimize and resolve disputes in projects. It is said that the people, process and projects characteristics are major causes of disputes and so is the project uncertainty, contractual problems and opportunistic behaviours. As a way to resolve disputes, alternative dispute resolutions are put in place and so are adjudication, arbitration and litigation.

2 citations