Factors Affection IS personnel's Intention to learn new programming languages
| Autor: | Chia-Ling Cheng, 鄭嘉玲 |
|---|---|
| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 107 Technologies are ever-changing. Each advance in technologies brought dramatic changes as like a reform, and advances in technologies seem to accelerate progressively. Technologies are being applied in more and more fields, new technologies are being introduced, and global competition is becoming increasingly fierce; in such a context, it has become a necessary strategy for enterprises to accelerate their pace of transformation and apply information technology to create advantages. The role played by information department personnel has gradually transferred from supporting force in the past to now the priority for the development of a company. A company could effectively utilize its information department to develop itself into a leader in innovation in the industry. Both the introduction of new system and upgrading of old system require the professional support or development design of information personnel. Accordingly, information personnel cannot just be responsible for the maintenance of old system as before, instead, they need to be open-minded to embrace new technologies and keep learning upon self-analysis. Only in such way they can improve their value and maintain their portable competency. Based on the concept of Theory of Planned Behavior (TPB), this study explained how the factors in TPB, namely, attitude, subjective norm and perceived behavioral control, would influence information personnel’s behavioral intention to learn a new programming language, and further discussed the relationships among the factors influencing behavioral intention and variables. Discussions were based on learning a programming language, Python. In addition, in-service information personnel were invited to complete questionnaires online. Reliability and validity of scale were confirmed by pretest. A total of 238 valid samples were used for official test. Sample data were analyzed by two types of statistical software, namely, SPSS 24.0 and Smart PLS 2.0. Samples recovered were treated and analyzed by Structural Equation Modeling (SME). According to research results of this study: (1) both attitude and perceived behavioral control have positive significant influence on information personnel’s behavioral intention to learn a programming language; subjective norm has a close significant influence on behavioral intention to learn a programming language; (2) perceived usefulness, perceived ease of use, and perceived playfulness have positive significant influence on attitude; in particular, perceived playfulness has the most significant influence, which demonstrates that information personnel’s attitude toward learning the programming language mainly derives from the interest triggered by their curiosity about the programming language, which further results in immersing in learning; (3) superior influence is more significant than peer influence; but the influence of subjective norm is close to significant after offsetting between the results of the two groups; and (4) self-efficiency and supporting conditions have positive significant prediction on behavioral intention, but the prediction of self-efficiency is more significant than that of supporting conditions, which demonstrates that information personnel will be more willing to learn a new programming language if they are more confident with themselves in learning the language. Research implication of this study is to provide a reference for promoters of programming language, introduction of new programme, new system in a company, or persons aiming at improving the climate for learning programming language in an information unit. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
| Externí odkaz: |
|