While this class may be set up for us to get a taste of entrepreneurship and the difficulties of working in small groups to build a company, this class also sheds light on the rigors of growing a successful company in the start-up realm. But despite its challenges, I knew that this class would provide more insight to working with teams and being able to work collectively in small groups to reach a common goal. That is what interested me most. Going back to the various ways Information Management and Technology can be incorporated in the working world, I think this course has a vital role in the curriculum the iSchool has to offer. Unlike other classes where our knowledge is tested by written exams or presentations, this class is unique in the way where we learn with trial and error. Instead of our work being graded on the finished product, our work is graded on the process of getting to that finished product. I’m currently taking IST 233 and IST 335 and they are quite polar opposites of each other. In IST 233, we’re learning about how computers and routers are setup so they work with other computers across the globe. We’re tested on a daily basis on what we learn throughout the class, but IST 335 is much diverse in the way where the lessons we are taught in class cannot be found in any other course on campus. A lecture that stood out to me was the topic of stress. There have been many times where I have dealt with stress in my life, but because stress is so present in
Last, one of the major thing I learned from the course is that facing risk of failure is what it takes to be an entrepreneur. If I am an entrepreneur, I have to face the risk
Having advanced technology nowadays can be both of assistance and a nuisance when it comes to handling Information in the workplace.
During the semester there were a lot of topics that I liked that reminded me of a lot of things that happened in my life that shaped my personality. I liked talking about the importance of fatherhood, feminism, and wrongful social expectations in my personal life.
The class discussion on Phineas Gage really stood out to me. I was astounded by the fact that a man could survive a metal rod shot through their skull. While I started in with fascination about the physical effects, I was even more intrigued about the mental and psychological effects of the accident. I really wanted to look more in depth about the case study of Phineas Gage.
Looking at the syllabus for management 330, entrepreneurship and small business management, see that there was four books that we had to read was a little intimidating. But after ordering the books and receiving them in the mail from Amazon there was a moment of relief. Looking through the books and seeing that two out of four were small and interesting was reassuring that it wasn’t four huge boring text books that we would have to plow through and do assignments from. Reading and talking about the books in class and getting teachers feedback from what he took away and what other students took away was interesting to hear. My three take-aways come from Steal Like an Artist and Should Your Idea Become a Business?
My favorite part of the lecture was the Native American story on the Origin of Disease and Medicine. Native American
After reading The Five Dysfunctions of a Team by Pat Lencioni, discussing the function of effective teams in class, and completing various team building exercises, I have developed a much better understanding of the importance of a proper team in a business setting and how good team work can produce more efficient and productive results.
A specific topic that I found interesting from lecture is the biology behind sexual arousal in humans. In the breakdown of the phases of the sexual response cycle, it outlines various changes that are occurring within both the male and female bodies in preparation for sexual activity. I was unaware that there is so many different ways that the body prepares in response to sexual arousal. This was fascinating to learn, as I have always been interested in the human body and the various ways it adapts to the circumstances it goes through.
The main objective of this semester was to learn various organizational behaviors that are conducted in a business environment outside the classroom; these would help us as students and as future business entrepreneurs. Throughout the semester, every week different professors came and gave us lectures. Each lecture was about different topic with professors of different departments. Along with the weekly lectures we also had an interactive session that gave us the opportunity to apply the lessons and techniques learnt in our professional and personal lives.
The subject that I found the most interest in was the Police Photography lectures. The lecture about Cesare Lombroso and his studying of criminals had my mind boggled. Once I heard that someone came up with a theory that people were born criminals made me interested to learn how could science possibly figure that out. His theory has now been discredited but, I choose the topic to learn about how he thought science could acknowledge who was born a criminal.
Information management (IM) is the collection and management of information from one or more sources and the distribution of that information to one or more audiences; is also particularly critical to businesses that work in conjunction with other businesses, so the two must share information with, or transfer information to, each other. In addition, businesses with more than one department or unit can use the MIS to compile information in one central location, thereby preventing information loss.
Do you have what it takes to enter the annual Harvard Business School Business Plan Contest? Vison, ideas and concepts are great in theory but are ineffective unless you execute them. This case study shows the struggles of the reality three young entrepreneurs faced when they were trying to build a product. It shows the difficulties in forming a team and most importantly turning an idea into reality. The lack of leadership, communication, clash of cultures and individuals
Information is very important when used in organisations. Organisations need to have accurate and quality information so the information is reliable. There is Date and Information, Data is raw facts or figures that have not yet been processed, data is things such as times, weights, measurements and scales. Information is data that is useable, such as TV listings, bus timetables. Etc. there are two types of data, Qualitative date and Quantitative data.
In this paper, we will analyze a few of the Information Systems/Technologies that are currently used by Workday and also, we will propose a couple of other Information Systems/Technologies that can be employed at Workday in future to further improve its performance.
Knowledge Management as per NASA can also be defined as getting the right information at the right time without delay while helping people create knowledge and share and act upon information in ways that will measurably improve the performance of NASA and its partners. A DSS has been defined as an interactive and adaptable computer-based information system that supports non-structured management problems. Information systems have been linked with Knowledge Management systems to help in making more informed and scientific decisions. Knowledge Management can be described as a practice of capturing tacit knowledge and converting it into explicit knowledge through filtering, storing, retrieving and disseminating the same. Decision support through knowledge management emanates from intelligent DSS (primarily based on artificial intelligence and expert systems), and knowledge management and organizational learning. Knowledge management based DSS evolved from the study of intelligent DSSs, which was founded as an enhancement of personal DSSs through integration of theories from artificial intelligence and expert systems. Data warehouse is usually a driver and an important component for a Data-driven DSS. It is a copy of transaction data specifically structured for query and analysis and a component to store data for a Data-driven DSS. Vast amount of data is stored in databases and other semi-structured sources. They are then extracted from these homogeneous or heterogeneous