CS875 Course and Proposed Dissertation Topics Relationship

Primary Response

ThienSi Le

CS875-1602C-01

Futuring & Innovation

Dr. Imad Al Saeed

 (15-June-2016)

In Unit 6 Discussion Board 2 on the topic of the final discussion, students are required to connect the main topics of this CS875 course to their dissertation topic. This piece of writing will connect the main concept of this class to my proposal dissertation on Big Data Analytic in the intention of innovation.

1. Course’s main topic:

The course CS875 introduces the concept of Futuring and Innovation of developing the skills in future through a variety of techniques and introducing formal methods of innovation and diffusion of innovation. The course offers a unique opportunity for students innovatively to improve or propose a socio-technical plan for collaboration between humans and technology in organizations or society. Some of the good topics in this course are new technology trend, decision-making groups, think tank methods, scenario planning & forecast, dreams, serendipity, socio-technical plan, etc. Notice that the topics of new technology trend and socio-technical plan can be used in the proposed dissertation of research.

2. Research topic:

The topic of research is the evolution of wisdom that extracts big data (D) into information (I), transforms into knowledge (K) and then constructs wisdom (W). The DIKW evolution will establish DIKW model (Ahlemeyer-Stubbe & Coleman, 2014) and divide into three studies:

             a. Part 1: A research study of extracting Big Data as values without context into meaningful information such as pattern correlation, the frequent predictive occurrence of events.

             b. Part 2: A research study of translating meaningful information as data with some context into relevant knowledge as intelligence capital.

             c. Part 3: A research study of transforming relevant knowledge into useful wisdom.

                 And currently, I am at the beginning of Part 1 during studying at CTU (Colorado Technical University). The other Parts 2 and 3 probably will be performed after school.

3. Relationship between the course’s topics and the proposed dissertation

(Source: Adapted from www.ucl.ac.uk, 2016)

The purpose statement of the research study:

The purpose of this study is to examine and extract Big Data for meaningful information, critical knowledge, or beneficial content to assist decision-making or gain a competitive advantage in business.

I will narrow down Big Data in a smaller scope. For example, I use data from Cloud technology service or data from mobile phone service (Hawryszkiewycz, 2014).

With the goal to enhance information by contributing to the body of knowledge through research, scholarly writing, dissemination of research and publishing the research work, I will need a good socio-technical plan and system to extract and transform data into useful information. People are the source of data because they generate data in daily activities in business organizations, schools, hospitals, governments, industries, etc. For complex data with massive volume, high speed, various forms, and veracity such as big data (Chen, Chiang, & Storey, 2012), some good data collection methods are needed:

     - Quantitative methods (Qn): Numbers, pre-post tests, surveys, rating sheets, algorithms, data analysis, etc. (Davis & Horn, 2015).

     - Qualitative methods (Ql): Interviews, focus groups, documents (diaries, manuals, emails, artifacts), film, audio, observation (field work), text questionnaires, etc. (Gall, Borg, & Gall, 2013).

            All these methods of data collection require a researcher to interact with people

via technological tools in both hardware and software such as computers, iPad, smart phones, Internet, analytical software (e.g., Tableau, SPSS, SAS, Hadoop, Atlas, NVivo, R Project, etc.). The connection between people (including the researcher) and (hardware and software is explicit and the collaboration between humans and machines becomes more vital in the socio-technical plan (Long, 2013; Trist & Bamforth, 1951). The socio-technical plan for proposed dissertation on extracting big data into useful information will include many sections: Introduction, Scope, Purpose, Supporting forces, Challenging forces, methods, models, analytical plan, anticipated results conclusion, and recommendation of areas for future research (Whitworth, 2014). The socio-technical system will be designed, tested, released, and deployed in the related fields. The people who use the system will be trained and supported   

In summary, the writing described briefly the CS875’s topics and the research topic in extracting big data for meaningful data.  The collaboration or interaction between humans and technologies are discussed and explained in data collection techniques in both Ql and Qn methods that link to socio-technical plan and system.

REFERENCE

Ahlemeyer-Stubbe, A., & Coleman, S. (2014). A practical guide to data mining for

business and industry. John Wiley & Sons.

Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics:

From big data to big impact. MIS quarterly, 36(4), 1165-1188.

Davis, K. & Horn, L. (2015). MGMT 804 joint chat session 3, quantitative design. (12).

Retrieved May 12, 2015 from https://campus.ctuonline.edu/portal/6/pages/mainframe.aspx?contentframe=/Default.aspx

Gall, M. D., Borg, W. R., & Gall, J. P. (2013). Educational research: An introduction .

Longman Publishing.

Hawryszkiewycz, I. (2014). Developing knowledge from big data through the cloud.

Proceedings Of The International Conference On Intellectual Capital, Knowledge Management & Organizational Learning, 234-239.

Long, S. (2013). Socioanalytic methods: discovering the hidden in organisations and social systems. Karnac Books.

Trist, E. L., & Bamforth, K. W. (1951). Some social and psychological consequences of the Longwall method. Human relations, 4(3), 3-38.

Whitworth, B. (2014). Socio-technical system design. Retrieved June 5, 2016 from 

https://www.interaction-design.org/literature/book/the-encyclopedia-of-human-computer-interaction-2nd-ed/socio-technical-system-design