User:Rashed Alzeer/sandbox

The Topic that we, as group, are working on is called:"Collaborative decision-making software". The part I'm going to edit is under "Components". This is what I wrote for my part:

Lunenburg, F. C. (2011). Leadership versus Management: A Key Distinction At Least in Theory. INTERNATIONAL JOURNAL OF MANAGEMENT, BUSINESS, AND ADMINISTRATION, 1-3.

Ii is said that the key features of a CDM forum are as follows: 1.Report centric discussion; 2.Annotations, and; 3.General discussion topics. This shows a high need of skilled workers in the business. It an article that showed the thin line separating the economic change, recruitment strategies and its impact on local workers even if they are highly skilled or not. There are many factors driving the global demand for highly skilled workers. The said factors results in the highly intensified competition for talent of people. The article had also pointed out the different policies and practices that have also been a major factor in the making of corporation’s goals without an international consensus given by global policy frameworks and national governments and values. Hence, the results showed how important analyzing and discussing the process that recruiters or companies are using to imply an international strategic recruitment and its impact on local workers. Whether it is a local or an international employee or worker or top management level should be well panned and organized by the managers for better recruitment and for giving the right positions to those people who really deserve it. _____________________________________________________________________________________________________________________________________(This my new update of this part. Can you please give me your feedback? Thank you)

Key Features of a CDM Forum      Collaborative decision-making (CDM) is defined as social media feature which, if combined with BI applications, will allow an increased distribution and discussion of information through a number of key features. These key features include annotations, discussions, and tagging, embedding, and providing decisions . Annotations help others in accepting and interpreting the data, which makes it more significant. For instance, when users are creating or analyzing reports within the BI environment, they can add commentaries and annotations so as to offer context to the data. Business leaders can be observed to be assured that they completely understand the information on which decisions are grounded. Open-access discussions will allow the contributors to post their notions as well as to read, consider and enhance the proposals of others. This feature can be a valuable device for pursuing the input of other investors. This is because of how assimilating CDM tools within the BI environment offers the possibility to hold discussions in complete view of the significant data. Tagging, on the other hand, enables the users to highlight related information in a flexible manner which makes it easy for other user to examine and recover beneficial and practical data. The ability to embed information enclosed in a BI solution into other applications is a vital factor for making sure that precise information is made accessible to decision-makers in a sensible manner. When information is embedded, it can be seen and commented on by several users. Meaning to say, ideas and suggestions can also be shared and discoursed in actual. Lastly, BI solutions are observed to have the capability of supporting appropriate decision-making that supports groups to attain explicit, quantifiable goals and objectives. These may also comprise an improved product overview or more lucrative supply chain .

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I update this part as well and I need your help please. Thank you

Collectively Deciding the Best Course of Action Collaborative Decision Making (CDM) Systems are defined as cooperative computer-based systems which assist the elucidation of ill-structured difficulties by a set of decision makers who are functioning together as a team. Their main objective is to enlarge the effectiveness of decision clusters through the cooperative sharing of information among group members and the computer . CDM associates the social software with business intelligence in which this said amalgamation can radically improve the value of decision-making by directly connecting the information enclosed in BI systems with collaborative input garnered through the usage of social software. This has also been identified as collaborative BI which has become a collaborative decision-making (CDM) module. Accordingly, this attaches the purposes and philosophies of social networking and Web 2.0 technologies, putting them on to broadcasting and analytics. If this would be implemented properly, collaborative BI will have the capability to form important connections between people, data, process and technology which will then connect the gap concerning insight and action through assisting peoples’ normal decision-making procedures. In order for an organization to attain a real collaborative BI, they must requisite to implement a collaborative mentality as well and upkeep a culture of organization-wide data sharing and data entree. This halts down departmental silos, empowering quicker, improved and more operative decision-making . It is also observed as an inflexible precondition for success wherein if an organization has a culture where people are rewarded for hoarding evidence, or information, and being specialists without sharing, then that organization is not ready. Technology will be observed to not make an organization collaborative if it does not already upkeep the belief of teams from various business units functioning in concert on shared projects.

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References:

1. (2016). When Social Media Meets BI: The Impact of Incorporating Social Media within BI Solutions.
2. Karacapilidis, N., Papadias, D. & Pappis, C. (1999). Computer-Mediated Collaborative Decision Making: Theoretical and Implementation Issues. Accessed October 26, 2016. https://www.computer.org/csdl/proceedings/hicss/1999/0001/01/00011019.pdf
3. (2012). White Paper: Collaborative Business Intelligence. Accessed October 26, 2016. http://www.montage.co.nz/assets/Brochures/YellowfinCollaborativeBIWhitepaper.pdf
4. Advancing Collaboration Theory: Models, Typologies, and Evidence. Accessed October 26, 2016. https://books.google.com.ph/books?id=5zuDCgAAQBAJ&pg=PA184&dq=collectively+deciding+the+best+course+of+action+for+collaborative+decision+making&hl=en&sa=X&ved=0ahUKEwiMk-XDvfjPAhVJzbwKHdg6BOwQ6AEIITAB#v=onepage&q&f=false
5. Technologies for supporting Reasoning Communities and Collaborative Decision. Accessed October 26, 2016. https://books.google.com.ph/books?id=noLYeGzndX8C&pg=PA8&dq=collectively+deciding+the+best+course+of+action+for+collaborative+decision+making&hl=en&sa=X&ved=0ahUKEwiMk-XDvfjPAhVJzbwKHdg6BOwQ6AEIHDAA#v=onepage&q&f=false
6. Computer Applications for Software Engineering, Disaster Recovery, and… Accessed October 26, 2016. https://books.google.com.ph/books?id=xyG5BQAAQBAJ&pg=PA80&dq=key+features+of+collaborative+decision+making+(CDM)&hl=en&sa=X&ved=0ahUKEwidhqLwvvjPAhUDVbwKHeIrCDYQ6AEIJTAA#v=onepage&q=key%20features%20of%20collaborative%20decision%20making%20(CDM)&f=false

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Open API

I did some changes to the characteristics section. Could you please give me your feedback.

Open APIs have three main characteristics:

1. Free for anyone and are available to use by all developers. 2. Typically backed by open data. [5], but the publisher may limit how the API data can be used. 3. Based on an open standard.