Expanding EVM beyond Project Management
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4.1. First Batch of data collection 4.1.1. Quantitative Data Collection and Analysis Proportion Testing Based on data from 220 questionnaires, we conducted a quantitative analysis using IBM-SPSS. The following abbreviations were used in this analysis: AMC means aircraft manufacturing corporation and SBC means shipbuilding corporation. Hypothesis 1. EBITDA is the proper measure of Project Management Profitability because it excludes Interest, Tax, Depreciation, and Amortization, which do not vary due to the Project Management efficiency and productivity variation. 2. EBITDA is the proper measure of Project Management Profitability because EBITDA is fully under the control of the Project Manager and Team. 3. The Company can maximize EBITDA with EVM in Project Management by integrating EBITDA to WBS and applying target EBITDA margin in every work breakdown structure and work package. 4. Using EBITDA as a measure of Project Management Profitability allows Project Managers and Teams to actively manage and maximize Project Management Profitability. 5. Applying EBITDA to EVM and WBS enables companies to display and control Project Management Profitability daily. 6. The Company can improve its ability to support Project management by sharing the daily Target and Actual EBITDA result with its supporting Units. 7. The Company can improve its ability to support Project management by sharing the daily Target and Actual EBITDA with the Board of Directors to provide timely strategic decisions to Project management. 4.1.2 Quantitative Data Analysis Discussion of qualitative analysis with NVivo Table B-1 and Figure B-1 until B-4 display the results of the qualitative analysis using structured interviews by NVivo. 4.2. Second Batch of data collection 4.2.1. Quantitative Data Collection and Analysis We conducted the second batch of quantitative data collection after eleven months of implementing Maximizing Daily EBITDA in AMC and SBC. We collected data from a survey and 125 questionnaire responses. • Hypothesis 1: EBITDA is an appropriate measure of operational Profitability for the implementation of company operations and project management. • Hypothesis A: Integrating EBITDA as a target in business processes and work breakdown structures (WBS) enables company operational management and project management to manage profitability actively. • Hypothesis B: Integrating EBITDA as a target in business processes and work breakdown structures (WBS) eases operational and project management and increases profitability. • Hypothesis C: Integrating EBITDA as a target in Business Processes and Work Breakdown Structure (WBS) eases Operational Management and Project Management to display and control their Profitability every day. • Hypothesis D: Sharing the daily Target and Actual EBITDA with the Company Management and Board of Directors provides timely strategic decisions to Project management.
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Quantitative Data Analysis by SPSS: Proportion Testing Hypothesis H01: 0.70 Ha1: > 0.70 The test statistic used in the one-population proportion test is Z=(p ̂-p_0)/√((p_0 (1-p_0))/n) p = the proportion of people who answered 6 or 7 to the question p0 = 0.70 Decision making: Reject Ho if value z calculation > Z table (right-hand test) Qualitative analysis by NVivo