IT knowledge systems have evolved significantly over the past decade. These include a wide variety of approaches, which range from simple e-mail and groupware collaboration tools to extensible markup language (XML)-based workflow management systems, knowledge repository networks and aggregated knowledge portals, to complex
Online Analytical Processing (OLAP)-based customer data warehouse (CRM) and data mining/ business intelligence (BI) and alerting systems. Regardless of the technical system, common threads exist across IT platforms and applications. Among current and recent generational systems, these include relational database central processes, XML- and Java-based open architectures, and fairly transparent workflow management (WFM) capabilities. These solutions are significantly advanced from previous systems of only a few years ago, and the MIS field has been actively attempting to address limitations of the models underlying these technical systems. Current generational databases have benefited from extensive theoretical advances in the areas of database design and database design cost-benefit considerations. Further, current-generation databases are more capable of handling entity matching and semantic heterogeneity, which is a key issue facing organizations with both cross-generational legacy technology and in the management of knowledge inflows. Object-oriented database approaches , as well as significant advances using decision theoretic, and algebraic and probabilistic solutions to these issues have also been advanced, which may benefit current and future generation databases. Therefore, the existence of prior- or current-generation databases may significantly moderate the effectiveness of current-generation IT, such as CRM systems, on the organization’s ability to acquire information and generate knowledge (customer analytics), as well as create knowledge outflows to improve sales (such as sales force automation and targeted marketing campaigns). For example, based on these database system advances, we can assume that CRM systems built upon modern CDW or relational database management systems
(RDBMS) systems should be more effective for KM capability than implementations less effectively integrated to online transaction processing (OLTP), or CRM implementations on older non- RDBMS systems. IT systems also deal with the information and business process workflows that underlie the organization’s activities. Advances in this area from the MIS literature include extensive analysis and conceptual introductions of modern workflow management systems (WFMS), as well as significant improvements in the codification and modeling of workflows. Of particular interest to management scholars may be findings that inter-firm and cross-organization interactions may also rely heavily on the seamless, transparent and automated exchange of information facilitated through inter-organizational workflow systems that have been advanced in recent MIS literature. Additional research indicates that knowledge flows are also dependent upon openarchitecture solutions and e-service platforms to facilitate inter- and intra- workflows via the Internet as evidenced through discussions of exchange and XML-based solution propositions in recent literature
. These IT advances in the workflow area may be quite timely. Inherent uncertainty in the exogenous, real-world environment forces business decisions to be made with uncertain data and incomplete information. IT-enabled knowledge systems, based on these improved databases and workflow systems, may be utilized to provide actionable knowledge to more effectively support managerial decision making under prevalent conditions of uncertainty. These and other advances in database and workflow technology have and will enable an organization’s knowledge acquisition, codification, analysis and transfer capabilities. This, in turn, may significantly enable more effective knowledge-based competitive advantages for some organizations. Further, organizations not utilizing such current-generation KM technology may likely have redundant data collection activities, difficulty sharing information between groups within the firm, and difficulty enforcing and standardizing workflows. Therefore, currentgeneration KM systems may be fairly reliant on the presence of current- or recent-generation WFMS-type systems to facilitate KM capabilities. However, to make more sense of the potential implications of these KM technology advances, we need to first explore the theoretical mechanisms through which they may contribute to the firm.
มีพัฒนาระบบไอทีความรู้อย่างมีนัยสำคัญกว่าทศวรรษ รวมถึงความหลากหลายของแนวทาง ช่วงจากเรื่องอีเมลและ groupware ร่วมมือ extensible markup ภาษา (XML) -รวมพอร์ทัลความรู้ การซับซ้อน และตามลำดับงานการจัดการระบบ เครือข่ายคลังความรู้Online Analytical Processing (OLAP)-based customer data warehouse (CRM) and data mining/ business intelligence (BI) and alerting systems. Regardless of the technical system, common threads exist across IT platforms and applications. Among current and recent generational systems, these include relational database central processes, XML- and Java-based open architectures, and fairly transparent workflow management (WFM) capabilities. These solutions are significantly advanced from previous systems of only a few years ago, and the MIS field has been actively attempting to address limitations of the models underlying these technical systems. Current generational databases have benefited from extensive theoretical advances in the areas of database design and database design cost-benefit considerations. Further, current-generation databases are more capable of handling entity matching and semantic heterogeneity, which is a key issue facing organizations with both cross-generational legacy technology and in the management of knowledge inflows. Object-oriented database approaches , as well as significant advances using decision theoretic, and algebraic and probabilistic solutions to these issues have also been advanced, which may benefit current and future generation databases. Therefore, the existence of prior- or current-generation databases may significantly moderate the effectiveness of current-generation IT, such as CRM systems, on the organization’s ability to acquire information and generate knowledge (customer analytics), as well as create knowledge outflows to improve sales (such as sales force automation and targeted marketing campaigns). For example, based on these database system advances, we can assume that CRM systems built upon modern CDW or relational database management systems(RDBMS) systems should be more effective for KM capability than implementations less effectively integrated to online transaction processing (OLTP), or CRM implementations on older non- RDBMS systems. IT systems also deal with the information and business process workflows that underlie the organization’s activities. Advances in this area from the MIS literature include extensive analysis and conceptual introductions of modern workflow management systems (WFMS), as well as significant improvements in the codification and modeling of workflows. Of particular interest to management scholars may be findings that inter-firm and cross-organization interactions may also rely heavily on the seamless, transparent and automated exchange of information facilitated through inter-organizational workflow systems that have been advanced in recent MIS literature. Additional research indicates that knowledge flows are also dependent upon openarchitecture solutions and e-service platforms to facilitate inter- and intra- workflows via the Internet as evidenced through discussions of exchange and XML-based solution propositions in recent literature. นี่มันความก้าวหน้าในลำดับงานได้ค่อนข้างรวดเร็ว ความไม่แน่นอนโดยธรรมชาติในสิ่งแวดล้อมบ่อย จริงบังคับตัดสินใจทางธุรกิจที่จะทำข้อมูลไม่แน่นอนและข้อมูลไม่สมบูรณ์ รู้มันเปิดใช้งานระบบ ตามลำดับงานระบบ และปรับปรุงฐานข้อมูลเหล่านี้อาจนำไปใช้ประโยชน์ให้มุมความรู้เพื่อสนับสนุนการตัดสินใจบริหารจัดการภายใต้เงื่อนไขที่แพร่หลายของความไม่แน่นอนมีประสิทธิภาพมากขึ้น เหล่านี้และอื่น ๆ ความก้าวหน้าในเทคโนโลยีฐานข้อมูลและลำดับงานได้ และจะช่วยให้ความรู้ขององค์กรซื้อ ประมวลผล วิเคราะห์ และถ่ายโอนความ นี้ จะ อย่างมีนัยสำคัญสามารถเพิ่มประสิทธิภาพความรู้เปรียบในการแข่งขันสำหรับบางองค์กร เพิ่มเติม องค์กรที่ไม่ใช้เทคโนโลยีเช่น KM รุ่นปัจจุบันอาจจะมีกิจกรรมเก็บข้อมูลซ้ำซ้อน ปัญหาในการใช้ข้อมูลระหว่างกลุ่มภายในบริษัท ปัญหาการบังคับใช้ และ standardizing ลำดับงาน ดังนั้น currentgeneration KM ระบบอาจค่อนข้างพึ่งพาอยู่ของปัจจุบัน หรือล่าสุดรุ่น WFMS ชนิดระบบ KM สามารถอำนวยความสะดวก อย่างไรก็ตาม การทำความเข้าใจเพิ่มเติมของผลกระทบเกิดความก้าวหน้าเทคโนโลยี KM เหล่านี้ เราได้ก่อน สำรวจกลไกทฤษฎีซึ่งอาจเกี่ยวข้องกับบริษัท
การแปล กรุณารอสักครู่..
