effects (2007, O’Reilly). An example of the differences between webs 2.0 and 1.0 can be gleaned from a comparison of the differing approaches to the “software as a service” models of the now struggling to survive Netscape against the booming Google. In 2001, the so-called “dot com bubble” burst and destroyed a conglomerate of business in the process. While many technologists submitted that this was an indication that the Internet itself was “overhyped”, in hindsight, this collapse marked a shift in
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to support decision making * —Helps build business intelligence * —Supported by data warehouses and data-mining tools RELATIONAL DATABASE MODEL: Database – collection of information that you organize and access according to the logical structure of the information Relational database – series of logically related two-dimensional tables or files for storing information * —Relation = table = file * —Most popular database model DATABASE- CREATED WITH LOGICAL STRUCTURES Data
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Analyzing Anti-pattern Detection Southern Methodist University Abstract A design pattern is a well-understood, reusable design fragment used to solve a commonly occurring problem in software development. Whereas, antipatterns are common design pitfalls that provide poor solutions to recurring design problems. Developers may unwillingly introduce anti-patterns in their software systems due to time pressure, lack of skills, communication or understanding. Anti-patterns have a negative effect
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The Effect of “Front-Loading” Problem-Solving on Product Development Performance Stefan Thomke and Takahiro Fujimoto In recent years, there has been a growing interest in the link between problemsolving capabilities and product development performance. In this article, the authors apply a problem-solving perspective to the management of product development and suggest how shifting the identification and solving of problems—a concept that they define as front-loading—can reduce development time
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simulation industry disruption that were introduced by the author in the Journal of Defense Modeling and Simulation. Earlier papers have applied the innovation and disruption model of Clayton Christenson to the simulation industry and demonstrated that the industry was in the “process innovation” phase of Utterback’s innovation lifecycle model.
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applications span all connected devices and “make the most of the intrinsic advantages of that platform: delivering software as a continually-updated service that gets better the more people use it” (O’Reilly, 2007). Web 2.0 software looks at both design patterns and business modes; it uses tools such as Google AdSense, cost per click, tagging, and ad serving to measure customer’s preferences and deliver specific content through the use of complex database and delivery networks (O’Reilly, 2007). Using Web 2
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and volume range have embraced an arrangement of assembling ideas got from both mass and incline generation ideal models, and the late influx of union implies that territorial examinations can never again be made without considering the complexities affected by the different possession structure and plenty of worldwide joint efforts. In this part we audit these flow and propose a twofold helix model showing how the premise of rivalry has moved from expense administration amid the prime of Passage's
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remember talking to my grandparents about their younger years; it made me realize how technology changes from generation to generation. Technology is scientific knowledge and the making of tools to solve problems. The technological advances are vehicles, airplanes, radio, TV, cell phones, and computers. The 20th century has changed how people meet, interact, learn, work, and do business. This type of knowledge doubles every several years. Sociologists are concerned how these technological societies
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automatic generation of XACML security policies from abstract XACML profile(s). Our proposed approach allows first to specify the XACML profiles, which are then translated using our intended compiler into XACML security policies. The main contributions of our approach are: (1) Describing dynamic security policies using an abstract and user friendly profile language on top of XACML, (2) generating automatically the the XACML policies and (3) separating the business and security
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Services journal homepage: www.elsevier.com/locate/jretconser Generation Y vs. Baby Boomers: Shopping behavior, buyer involvement and implications for retailing Anders Parment Stockholm University School of Business, Stockholm University, Department of Marketing, S-106 91 Stockholm, Sweden a r t i c l e i n f o Available online 29 January 2013 Keywords: Generational cohorts Generational marketing Market segmentation Generation Y Baby Boomers Consumer behavior Purchase involvement Retail strategies
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