<p> Through this dissertation, the researcher demonstrated validity of a new individual level construct titled <i>perceived business process knowledge</i> (PBPK) and an associated measurement instrument. The concepts and definition of knowledge and business processes from past works were integrated to define PBPK. Factors found in empirically tested information systems models were used to identify five PBPK sub-dimensions: 1) Perceived Business Process Input Knowledge, 2) Perceived Business Process Resources Knowledge, 3) Perceived Business Process Activities Knowledge, 4) Perceived Business Process Constraints Knowledge, and 5) Perceived Business Process Output Knowledge. A sixth sub-dimension, Perceived Business Process Monitoring Knowledge, surfaced in the field research phase.</p><p> The sub-dimensions and focal construct were tested for criterion and predictive validity using SmartPLS and demonstrated high reliability and validity under two samples. All indicators have loadings greater than 0.860 (p < 0.000). PBPK items demonstrated Cronbach Alpha greater than 0.85 and Composite Reliability > 0.95 on both data collections. Focal construct and sub-dimensions demonstrated convergent and discriminant validity; Average Variance Extracted (AVE) greater than 0.5, and square root of the AVE greater than associated correlation with all other constructs.</p><p> The first data collection consisted of representatives from 21 industries; the criterion and predictive validity relationships produced almost acceptable but low R<sup>2</sup> (> 0.21), medium f<sup>2</sup>, (> 0.27) and moderate path coefficients (> 0.46, p < 0.000) on the smallest predictor to dependent variable relationship. The second data collection consisted of representatives from 3 industries; the criterion and predictive validity relationships were a slightly better; the results demonstrated acceptable but low R<sup> 2</sup> (> 0.29), large f<sup>2</sup> (> 0.41), and moderate path coefficients (> 0.53, p < 0.000) on the smallest predictor to dependent variable relationship. </p><p> The study also successfully demonstrated that different groups of individuals report different levels of PBPK. These tests were conducted using one-way ANOVA.</p><p> The constructs and associated measurement instrument are expected to increase the predictive ability of Technology Acceptance Models.</p>
| Identifer | oai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:10181584 |
| Date | 17 December 2016 |
| Creators | Angeles, Jose O. |
| Publisher | Trident University International |
| Source Sets | ProQuest.com |
| Language | English |
| Detected Language | English |
| Type | thesis |
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