Academic Journal

An Evaluation of GeoBEST Contingency Beddown Planning Software Using the Technology Acceptance Model

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: An Evaluation of GeoBEST Contingency Beddown Planning Software Using the Technology Acceptance Model
Συγγραφείς: Jensen, Shawn J.
Πηγή: Theses and Dissertations
Στοιχεία εκδότη: AFIT Scholar
Έτος έκδοσης: 2002
Συλλογή: AFTI Scholar (Air Force Institute of Technology)
Θεματικοί όροι: GeoBEST (Computer program)--Evaluation, Civil engineering--Computer programs, Civil Engineering
Περιγραφή: GeoBEST is a software program designed to simplify the contingency beddown planning process through application of geographic information technology. The purpose of this thesis was to thoroughly evaluate GeoBEST using prospective GeoBEST users in a realistic beddown planning scenario. The Technology Acceptance Model (TAM) was applied, which measures a prospective user's perceptions of the technology's usefulness and ease-of-use and predicts their intentions to use the software in the future. The evaluations also included a qualitative evaluation of specific software features. The test group for this thesis was seventy-one Civil Engineering students attending contingency skills training at the Silver Flag training site, Tyndall AFT, FL. The students were given a one-hour interactive demonstration of GeoBEST after which they completed a survey. The students were given the option of using the program for preparation of their assigned beddown plan. The results from the TAM predict that the students were only slightly likely to use GeoBEST for beddown planning in the future. Throughout the course of the research, several features of GeoBEST were identified that limit the program's effectiveness. Some of these were minor irritants, while others were serious design flaws. Recommendations are made for implementation of GeoBEST and creation of training programs.
Τύπος εγγράφου: text
Περιγραφή αρχείου: application/pdf
Γλώσσα: unknown
Relation: https://scholar.afit.edu/etd/4426; https://scholar.afit.edu/context/etd/article/5428/viewcontent/AFIT_GEE_ENV_02M_04_Jensen_S_ADA400704.pdf
Διαθεσιμότητα: https://scholar.afit.edu/etd/4426
https://scholar.afit.edu/context/etd/article/5428/viewcontent/AFIT_GEE_ENV_02M_04_Jensen_S_ADA400704.pdf
Αριθμός Καταχώρησης: edsbas.CC971789
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  Data: An Evaluation of GeoBEST Contingency Beddown Planning Software Using the Technology Acceptance Model
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  Data: Theses and Dissertations
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  Data: AFIT Scholar
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  Data: 2002
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  Data: AFTI Scholar (Air Force Institute of Technology)
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  Data: GeoBEST is a software program designed to simplify the contingency beddown planning process through application of geographic information technology. The purpose of this thesis was to thoroughly evaluate GeoBEST using prospective GeoBEST users in a realistic beddown planning scenario. The Technology Acceptance Model (TAM) was applied, which measures a prospective user's perceptions of the technology's usefulness and ease-of-use and predicts their intentions to use the software in the future. The evaluations also included a qualitative evaluation of specific software features. The test group for this thesis was seventy-one Civil Engineering students attending contingency skills training at the Silver Flag training site, Tyndall AFT, FL. The students were given a one-hour interactive demonstration of GeoBEST after which they completed a survey. The students were given the option of using the program for preparation of their assigned beddown plan. The results from the TAM predict that the students were only slightly likely to use GeoBEST for beddown planning in the future. Throughout the course of the research, several features of GeoBEST were identified that limit the program's effectiveness. Some of these were minor irritants, while others were serious design flaws. Recommendations are made for implementation of GeoBEST and creation of training programs.
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    Subjects:
      – SubjectFull: GeoBEST (Computer program)--Evaluation
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      – SubjectFull: Civil engineering--Computer programs
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      – SubjectFull: Civil Engineering
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