3.1 Research Framework
According to literature review above, the research framework is established in three groups regarding the Big Data and implementation processes. In addition, these groups consist of sub-sections with various detail factors. In the implementation process group, it aims to discover how organizations implement the Big Data system. This group is designed and modified based on Big Data Adoption Pattern provided by IBM Institute of Business Value. This group has three stages, and contains sub-sections with several factors, which are strongly associated.
The second group is about the factors for enterprises. The purpose of this group is to find out what factors or requirements are essential for enterprises in order to implement Big Data system. The factors listed in the second group are all standard and frequent factors in ERP implementation literature review.
Finally, there are several factors to be examined for the Big Data system. This research will examine the 4V requirements of the Big Data system, which the enterprise implemented.
Then, this research will seek for the system advantages that make organizations more
competitive than others. Overall, the possible outcome benefits that are delivered and created by the Big Data analytics to the customer will also be discussed.
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Implementation Process 1. Explore & Preparation
a. Decision planning b. Driving motivation 2. Engage & Implementation
a. Analyze functionality 3. Execute & Maintenance
a. User training b. IT support c. Modifying
d. Improve & expand
Enterprise Requirements 1. Pre-Implementation
a. Clear understanding of strategic goals
b. Commitment by top management c. Culture & Structural change d. Timing
2. Implementation
a. Project management
b. System selection that best fits current business process c. IT leveragability & Knowledge d. Internal/ External support 3. Post- Implementation
a. Employee education and training b. Evaluate & further improvement
Big Data System
Performance 1. System Advantages
2. Potential benefits to the customers
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3.2 Research Method
The purpose of this research is to recognize how organization implementing the Big Data system, and factors that organizations are needed to be able to implement. Most of the other studies focus on the Big Data applications, technical difficulties and solutions. This research focuses on the implementation processes and factors. There are not many studies regarding Big Data implementation. Therefore, case study method will be conducted in this research (Yin, 1984). According to Benbasat (1987), case methodology is useful when focus on contemporary events is needed. In addition, research phenomena not supported by a strong theoretical base may suitable for case research.
In this research, two case studies will be interviewed and conducted. These case studies are organizations size over 1000 employees. According to Benbasat (1987), a single case is useful at the outset of theory generation and late theory testing. On the other hand, multiple-case designs are desirable when the intent of the research is description, theory building, or theory testing. Therefore, multiple-case method is used for this research.
3.3 Research Target
This research wants to discover the implementing process and factors for the financial institutions, hence the research targets should have at least one Big Data system. Since Big Data systems are fairly sophisticated and expensive. Small financial institutions will have tremendous difficulties and lack of resource to implement the Big Data system. Therefore, the financial institutions should be medium to large in size with at least over 1000 employees. Due to the complication and affection of the Big Data system to the financial institutions and the customers, the institutions should involve variety groups to ensure the implementation. For example, the suitable financial institutions for interview should have at least a retail banking group or
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wholesale banking group. Moreover, several divisions are required in order to implement and monitor the Big Data system performance. These divisions in finance institutions are information technology division, process service division, risk management division, finance division,
performance management division and corporate planning division. All of the divisions are internally or externally related to the Big Data implementation and its performance to the
customers. In general, financial institutions are adequately conservative regarding of strategy and internal information. Therefore, the interview target is extremely difficult to find. However, there will be one organization that is traditional financial institution, and one is not. Finally, all of the personal information regarding of interview target will be strictly confidential.
3.4 Data Collection Method
According to Yin’s identifications (Yin, 1984), there are several sources to support the research finding. This research will focus on case study methods, which also include direct observation, documentation, archival records, and interviews. The goal is to obtain rich amount of data on specific research issue.
3.4.1 Interview Design
The interview is designed to ensure the research has enough and qualified data for further interpretation and analysis. Several conditions must be met to ensure the quality of the interview.
First, the interviewees must be at least manager ranking of the company, and experienced over 3 years. This condition is to ensure the interviewees have profound knowledge and experienced in the field. Second, the questions will be sent to interviewees before the interview is conducted, so interviewees can be well prepared for the interview. Beside the direct observation technique, the interview will be voice recording to ensure data completeness. Lastly, the interviewer will ask additional questions or customize the existing questionnaire depend on the interviewees situation.
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The questions design in this research can be categorized into five parts. The first part is designed to discover the whole processes of the implementation. Questions regarding the
strategy, concept and plan before the implementation will be ask first. Then, the focus shift to the enterprise itself, and the questions relate to how the enterprises react to the implementation internally. Interviewer asks questions such as does the current employees in the enterprise be able to handle the implementation. In addition, this research wants to find out how each
department cooperates internally and externally to adapt with the implementation. Furthermore, this research also wants to find out how top managers shift the decision from traditional to data-driven. The third part of the questionnaire involve with the both technical and business
difficulties on implementation. This part of the questions wants to recognize how enterprises overcome the obstacle, and how system compatible with their current strategy. Furthermore, this research would like to find out the result after the implementation. Questions like what benefits the company after implementation? Any new product or service are revealed because of the implementation will be asked on interview. Lastly, this research will examine advantages and key components of the target’s Big Data system.
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