305 Week 4 Responses
musesarlo_13
MGT305Week4Responses.docx
Your responses to others this week must focus on the opposite side of the argument than your initial post. Hence, the it is the battle of the sexes. Here you must defend your post to the discussion. From earlier in the week. 305 Week 4 Discussion (I attached it). Lol go easy on the women while defending as a man. Lol I have to sit in class with them.
#1
Traci Guice
Technology has not ignored the importance of human influence on knowledge management because it follows trends with technological advancement and evolves with the technology trends people are using.
Evidence of this is how collecting and managing knowledge has evolved with technology. Bill Gates said that managing knowledge started before technology with the business documenting processes and objectives. People started to use technology for work and in their personal lives for efficiency and so knowledge started binging managed with technology like so many other things.
As technology is constantly evolving with tool, so is the way we manage data. People started using blogs, wikis, social media, so as the technology trend went into those directions, so did the way we manage knowledge. Blogs, instant messaging, wikis and news aggregators are personalized knowledge management. These are newer ways to manage knowledge and focus on the individual instead of the entire organization. (Dalkir 2011)
References
Dalkir, K. (2011). Knowledge management in theory and practice, 2nd ed. Cambridge, Mass: MIT.
Zyngier, Suzanne (Jan 2001) The role of technology in knowledge management: trends in the Australian corporate environment. Retrieved from:
https://www.researchgate.net/publication/228902643_The_role_of_technology_in_knowledge_management_trends_in_the_Australian_corporate_environment
#2
posts
Sarah Hagensick
Technology today has focused knowledge on data collection ignoring the importance of human influence on knowledge management. This is not a true statement. Although technology is progressing at a rapid rate and the influence of Artificial Intelligence is increasing the influence of humans in data collecting is not being ignored. In fact, it is an integral part of the data collection process. The initial knowledge capture and creation phase does not make extensive use of technologies (Dalkir, 2011) According to Ahmad & Schroeder, exploration of technology entails continued experimentation with existing processes so that companies can make further improvements (2011). Analyzing the failures of the processes by the people who are working with the technology helps in creating better processes. The input that people provide can be used to help train, validate or improve on the technology that companies are currently using. Even as widely used as theology is in our current society, there is still something to be said about the amount of tacit knowledge that we as human hold. This knowledge is something that cannot be replicated by technology. According to the Committee on the National Research Council, as we continue to grow with in the technical world it is becoming increasing evident that the role of humans is in all phases of the data processing lifecycle (2013). The relations ship between the collection of data through technology and human interaction is not a case of one being better than the other. It is more of an active balance between them both. We need both sections to be able to actively process in the future.
Reference
Dalkir, Kimiz. 2011. Knowledge Management in Theory and Practice Second Edition. Chapter 8. Pg. 270. Retrieved from: https://www.academia.edu/34489471/ Knowledge_Management_in_Theory_and_Practice_Second_Edition_Kimiz_Dalkir.pdf?ends_sutd_reg_path=true
Ahmad, Sohel & Schroeder, Roger G. 2011, Knowledge Management through technology Strategy: Implications for Competitiveness, Journal of Manufacturing Technology Management, Vol. 22 Number1, 2011.
National Research Council. 2013. Frontiers in Massive Data Analysis. Washington, D.C.: The National Academies Press. Retrieved from https://www.nap.edu/read/18374/chapter/11
