01266nas a2200145   4500008004100000245010400041210006900145260000900214520070100223653000800924100002000932700001500952700002100967856013200988       2022                        eng d00aSupporting Student Collaboration for Online Learning: The Impact of Two Instructional Interventions0 aSupporting Student Collaboration for Online Learning The Impact   c20223 aThis research provides an overview of an exploratory study that is being conducted to investigate two potential ways in which an instructor may be able to support online student teams assigned to analyze a case and create a collaborative digital document.  Specifically, the study was designed to examine the impact of instructor leadership style and process structure on student perceptions and performance. Data has been collected for 60 3-person teams of students enrolled in an upper-division undergraduate information systems course entitled “Business Process Management.”  The research data has been collected and will be analyzed. Preliminary findings from the study will be discussed.10aBIS1 aTyran, Craig, K1 aRaja, V.T.1 aTyran, Kristi, L  u/biblio/supporting-student-collaboration-online-learning-impact-two-instructional-interventions00488nas a2200133   4500008004100000245006400041210006400105260002600169653000800195100001500203700001800218700001600236856010200252       2020                        eng d00aTeaching and maintaining campus community during a pandemic0 aTeaching and maintaining campus community during a pandemic  aPortland (Zoom)c202010aBIS1 aRaja, V.T.1 aLewis, Steven1 aTolan, Jody  u/biblio/teaching-and-maintaining-campus-community-during-pandemic01759nas a2200193   4500008004100000245005900041210005700100260000900157300000700166520123900173653001501412653000801427100001901435700002001454700001501474700002201489700001701511856003701528       2016                        eng d00aBA302: Microsoft Dynamics NAV ERP Exercise/Walkthrough0 aBA302 Microsoft Dynamics NAV ERP ExerciseWalkthrough  c2016  a253 aWhether you enter the workforce as a sales manager, financial accountant or office admin, chances are that you will be working with some type of Enterprise Resource Planning (ERP) system. The purpose of this exercise/walkthrough is to familiarize you with a typical business process as it is commonly executed with the help of one of the leading ERP systems in the market today – Microsoft Dynamics NAV. This exercise will walk you through the six steps of a typical sales process: 1) Creating a customer order; 2) Backordering an out-of-stock item; 3) Receiving the backordered item; 4) Shipping the customer the ordered items and invoicing the customer; 5) Receiving payment from the customer; 6) Making a payment to the vendor from whom we backordered. As you make your way through this exercise, you should realize that in a real company this process would be executed by different people working in different departments. They all will interact with the ERP; i.e., they all retrieve information from the ERP and store new information in it, as the sales process progresses. In this exercise you take on the role of each of these people, giving you a sense of how the sales order is processed both by the company and by the ERP.10aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron1 aRaja, V.T.1 aReitsma, Reindert1 aWydner, Kirk  uhttp://hdl.handle.net/1957/5985801358nas a2200169   4500008004100000245014100041210006900182260004600251300001200297490000700309520068600316653000801002653001701010100001601027700001501043856013001058       2013                        eng d00aWhat Do They Know About Me In The Cloud? A Comparative Law Perspective On Protecting the Privacy and Security of Sensitive Consumer Data0 aWhat Do They Know About Me In The Cloud A Comparative Law Perspe  aWiley Periodicals, Inc., Malden, MAc2013  a413-4820 v503 aHow much does the cloud know about us? Should we care? In cloud computing, sensitive personal data flows in a global network of internet connected computers, creating attractive targets for hackers, challenging law enforcement and raising concerns about government surveillance. From an information privacy perspective, this article discusses how well the management information systems practices and laws in the United States and Europe protect the privacy and security of sensitive consumer data in the cloud. It examines policies and proposed regulations and makes suggestions for legal reforms in both jurisdictions to protect the privacy and security of sensitive information.10aBIS10aBusiness Law1 aKing, Nancy1 aRaja, V.T.  u/biblio/what-do-they-know-about-me-cloud-comparative-law-perspective-protecting-privacy-and-001334nas a2200169   4500008004100000245008000041210006900121260001700190300001200207490000700219520085600226653000801082653001701090100001601107700001501123856002601138       2012                        eng d00aProtecting the Privacy and Security of Sensitive Customer Data in the Cloud0 aProtecting the Privacy and Security of Sensitive Customer Data i  aOxfordc2012  a308-3190 v283 aThe global ubiquity of cloud computing may expose consumers' sensitive personal data to significant privacy and security threats. A critical challenge for the cloud computing industry is to earn consumers' trust by ensuring adequate privacy and security for sensitive consumer data. Regulating consumer privacy and security also challenges government enforcement of data protection laws that were designed with national borders in mind. From an information privacy perspective, this article analyses how well the regulatory frameworks in place in Europe and the United States help protect the privacy and security of sensitive consumer data in the cloud. It makes suggestions for regulatory reform to protect sensitive infomraiton in cloud computing environments and to remove regulatory constraints that limit the growth of this vibrant new industry.10aBIS10aBusiness Law1 aKing, Nancy1 aRaja, V.T.  uwww.Sciencedirect.com00566nas a2200145   4500008004100000245008300041210006900124260003300193653000800226100002100234700001700255700001500272700001800287856011500305       2010                        eng d00aThe Impact of Relational and Task-Oriented Leaders on Virtual Team Performance0 aImpact of Relational and TaskOriented Leaders on Virtual Team Pe  aDelft, The Netherlandsc201010aBIS1 aBajwa, Deepinder1 aTyran, Craig1 aRaja, V.T.1 aTyran, Kristi  u/biblio/impact-relational-and-task-oriented-leaders-virtual-team-performance-100517nas a2200145   4500008004100000245006600041210006200107260001800169653000800187100002500195700001500220700002000235700001800255856009800273       2009                        eng d00aThe adoption and use of technologies to support virtual teams0 aadoption and use of technologies to support virtual teams  aTorontoc200910aBIS1 aBajwa, Deepinder, S.1 aRaja, V.T.1 aTyran, Craig, K1 aTyran, Kristi  u/biblio/adoption-and-use-technologies-support-virtual-teams-000287nas a2200109   4500008004100000245001300041210001300054260003100067653000800098100001500106856005600121       2009                        eng d00aUntitled0 aUntitled  aLa Jolla, Californiac200910aBIS1 aRaja, V.T.  u/biblio/untitled-3300552nas a2200133   4500008004100000245009800041210006900139260002700208653000800235100001700243700001500260700001800275856012500293       2009                        eng d00aUsing Wikis to Support Virtual Teams in Education: The Effect of Instructor Leadership Style.0 aUsing Wikis to Support Virtual Teams in Education The Effect of   aPhoenix, Arizonac200910aBIS1 aTyran, Craig1 aRaja, V.T.1 aTyran, Kristi  u/biblio/using-wikis-support-virtual-teams-education-effect-instructor-leadership-style-101380nas a2200157   4500008004100000245009300041210006900134260000900203300001200212490000700224520082200231653000801053100001501061700002101076856012501097       2003                        eng d00aAn Efficient Heuristic for Solving an Extended Capacitated Concentrator Location Problem0 aEfficient Heuristic for Solving an Extended Capacitated Concentr  c2003  a171-1990 v233 aIn this paper, a mathematical model and a solution algorithm are developed for solving an extended capacitated concentrator location problem. Our model extends the conventional formulation by simultaneously addressing the two capacity constraints, total connection ports and maximum data processing rate, on each concentrator to be selected for satisfying the communication demands of the given end-user nodes. Since the problem is NP-complete, an efficient and effective Lagrangian heuristic is developed and tested by solving 100 randomly generated test problems with sizes ranging from 30(nodes)×30(concentrators) to150×30. Altogether 58% of the tested problems are solved optimally with an average solution gap 0.36% from the optimality and average solution times are from a few seconds to one half of a minute.10aBIS1 aRaja, V.T.1 aHan, Bernard, T.  u/biblio/efficient-heuristic-solving-extended-capacitated-concentrator-location-problem-001263nas a2200157   4500008004100000245008800041210006900129260004600198300001200244490000600256520067800262653000800940100002100948700001500969856012100984       2003                        eng d00aA GRASP Heuristic for Solving an Extended Capacitated Concentrator Location Problem0 aGRASP Heuristic for Solving an Extended Capacitated Concentrator  aWorld Scientific Publishing Companyc2003  a597-6180 v23 aLocal Access Networks (LACNs) are often considered the "last mile" over the Internet provided that they are connected to some existing Wide Area Network backbone. In this paper, a revised LACN-WAN interconnection model is presented as an extension to the conventional Capacitated Concentrator Location Problem (CCLP). An efficient heuristic is also developed to seek near-optimal deployment of telecommunication devices (e.g. links, concentrators, etc.) while minimizing the total connection costs for the network interconnection. Our solution algorithm could serve as a decision-making tool in solving problems with a real world size (i.e. 120 nodes and 30 concentrators).10aBIS1 aHan, Bernard, T.1 aRaja, V.T.  u/biblio/grasp-heuristic-solving-extended-capacitated-concentrator-location-problem-000459nas a2200109   4500008004100000245008000041210006900121260002400190653000800214100001500222856011200237       2002                        eng d00aAn AI-based Heuristic for solving an Extended Concentrator Location Problem0 aAIbased Heuristic for solving an Extended Concentrator Location   aCorvallis, ORc200210aBIS1 aRaja, V.T.  u/biblio/ai-based-heuristic-solving-extended-concentrator-location-problem-000370nas a2200109   4500008004100000245004600041210004400087260002400131653000800155100001500163856008200178       2001                        eng d00aA Lagrangian Heuristic for Network Design0 aLagrangian Heuristic for Network Design  aCorvallis, ORc200110aBIS1 aRaja, V.T.  u/biblio/lagrangian-heuristic-network-design-000265nas a2200109   4500008004100000245001300041210001300054260000900067653000800076100001500084856005600099       2000                        eng d00aUntitled0 aUntitled  c200010aBIS1 aRaja, V.T.  u/biblio/untitled-3400480nas a2200121   4500008004100000245007100041210006900112260002700181653000800208100001500216700002100231856010600252       2000                        eng d00aUsing GRASP to solve the Capacitated Concentrator Location Problem0 aUsing GRASP to solve the Capacitated Concentrator Location Probl  aOrlando, Floridac200010aBIS1 aRaja, V.T.1 aHan, Bernard, T.  u/biblio/using-grasp-solve-capacitated-concentrator-location-problem-100502nas a2200121   4500008004100000245007800041210006900119260003700188653000800225100001500233700002100248856011100269       1999                        eng d00aA Comparison of Two Modern Heuristics for Designing Local Access Networks0 aComparison of Two Modern Heuristics for Designing Local Access N  aPhiladelphia, Pennsylvaniac199910aBIS1 aRaja, V.T.1 aHan, Bernard, T.  u/biblio/comparison-two-modern-heuristics-designing-local-access-networks-000427nas a2200121   4500008004100000245005800041210005400099260002200153653000800175100001500183700002100198856008600219       1999                        eng d00aThe State of the Art of Network Design and Management0 aState of the Art of Network Design and Management  aNew Orleansc199910aBIS1 aRaja, V.T.1 aHan, Bernard, T.  u/biblio/state-art-network-design-and-management-100495nas a2200121   4500008004100000245008200041210006900123260002200192653000800214100001500222700002100237856011500258       1998                        eng d00aAn AI-based Heuristic for solving a Generalized Concentrator Location Problem0 aAIbased Heuristic for solving a Generalized Concentrator Locatio  aSeattle, WAc199810aBIS1 aRaja, V.T.1 aHan, Bernard, T.  u/biblio/ai-based-heuristic-solving-generalized-concentrator-location-problem-000497nas a2200121   4500008004100000245008300041210006900124260002200193653000800215100001500223700002100238856011600259       1998                        eng d00aAn Efficient Heuristic for Solving a Generalized Concentrator Location Problem0 aEfficient Heuristic for Solving a Generalized Concentrator Locat  aSeattle, WAc199810aBIS1 aRaja, V.T.1 aHan, Bernard, T.  u/biblio/efficient-heuristic-solving-generalized-concentrator-location-problem-000490nas a2200121   4500008004100000245007400041210006900115260003000184653000800214100001500222700002100237856011000258       1998                        eng d00aA Neural-Net Gaussian Machine for Optimal Local Access Network Design0 aNeuralNet Gaussian Machine for Optimal Local Access Network Desi  aBaltimore, Marylandc199810aBIS1 aRaja, V.T.1 aHan, Bernard, T.  u/biblio/neural-net-gaussian-machine-optimal-local-access-network-design-100416nas a2200121   4500008004100000245004900041210004900090260002800139653000800167100001500175700001600190856008800206       1998                        eng d00aStudent Perceptions of Electronic Classrooms0 aStudent Perceptions of Electronic Classrooms  aChicago, Illinoisc199810aBIS1 aRaja, V.T.1 aKumar, Anil  u/biblio/student-perceptions-electronic-classrooms-000265nas a2200109   4500008004100000245001300041210001300054260000900067653000800076100001500084856005600099       1998                        eng d00aUntitled0 aUntitled  c199810aBIS1 aRaja, V.T.  u/biblio/untitled-3500503nas a2200121   4500008004100000245009100041210006900132260002700201653000800228100001500236700001600251856011400267       1997                        eng d00aIntegration of India into the Global Economy ” An Information Technology Perspective0 aIntegration of India into the Global Economy An Information Tech  aDekalb, Illinoisc199710aBIS1 aRaja, V.T.1 aKumar, Anil  u/biblio/integration-india-global-economy-information-technology-perspective-000448nas a2200121   4500008004100000245006200041210006200103260001700165653000800182100001500190700002100205856010000226       1997                        eng d00aSome Design and Planning Issues for Local Access Networks0 aSome Design and Planning Issues for Local Access Networks  aTaiwanc199710aBIS1 aRaja, V.T.1 aHan, Bernard, T.  u/biblio/some-design-and-planning-issues-local-access-networks-000476nas a2200109   4500008004100000245008900041210006900130260002600199653000800225100001500233856011800248       1995                        eng d00aA Lagrangean Heuristic for the Design of Capacitated Star-Star Concentrator Networks0 aLagrangean Heuristic for the Design of Capacitated StarStar Conc  aLos Angeles, CAc199510aBIS1 aRaja, V.T.  u/biblio/lagrangean-heuristic-design-capacitated-star-star-concentrator-networks-000472nas a2200121   4500008004100000245006600041210006600107260002500173653000800198100001500206700002100221856010800242       1995                        eng d00aOptimal Telecommunication Facility Planning Under Uncertainty0 aOptimal Telecommunication Facility Planning Under Uncertainty  aPittsburgh, PAc199510aBIS1 aRaja, V.T.1 aHan, Bernard, T.  u/biblio/optimal-telecommunication-facility-planning-under-uncertainty-100598nas a2200133   4500008004100000245013200041210006900173260003000242653000800272100001500280700002100295700002000316856012800336       1995                        eng d00aA Robustness Approach to the Telecommunication Facility Management Problem in the Presence of Demand Uncertainty from End-Users0 aRobustness Approach to the Telecommunication Facility Management  aBoca Raton, Floridac199510aBIS1 aRaja, V.T.1 aHan, Bernard, T.1 aChen, Bin, Tong  u/biblio/robustness-approach-telecommunication-facility-management-problem-presence-demand-000514nas a2200121   4500008004100000245009000041210006900131260002700200653000800227100001500235700002100250856012100271       1994                        eng d00aAn Intelligent Solver for the Generalized Telecommunication Facility Location Problem0 aIntelligent Solver for the Generalized Telecommunication Facilit  aHonolulu, Hawaiic199410aBIS1 aRaja, V.T.1 aHan, Bernard, T.  u/biblio/intelligent-solver-generalized-telecommunication-facility-location-problem-1