MM Shu-Te University College of Informatics Graduate School of Information Management Master Study the factors affecting the intention to use the training management software at Vinh Phuc colleges in Vinh Phuc Province, Viet Nam Student: Nguyen Thi Thom Adviser: Dr Tsu-I Peng Dr Nguyen Huu Chau March, 2013 -i- Shu-Te University Department of Information Management Thesis training management software at Vinh Phuc colleges in Study the factors affecting the intention to use the March, 2013 Nguyen Thi Thom Vinh Phuc Province, Viet Nam - ii - Study the factors affecting the intention to use the training management software at Vinh Phuc colleges in Vinh Phuc Province, Viet Nam Student: Nguyen Thi Thom Adviser: Dr Tsu-I Peng, Dr Nguyen Huu Chau A Thesis Submitted to the Graduate School of Information Management College of Informatics Shu-Te University In Partial Fulfillment of the Requirements For the Degree of Master of Science in Information Management March, 2013 - iii - 樹德科技大學碩士班研究生 Graduate Student of Shu-Te University 指導研授推薦書 Recommendation Letter from Thesis Adviser 本校資訊管理研究所　　　　　　　　　　　　　君 所提之論文係由本人指導撰述，同意提付審研。 This Student, Nguyen Thi Thom, whose thesis entitled “Study the factors affecting the intention to use the training management software at Vinh Phuc colleges in Vinh Phuc Province, Viet Nam”, is under my advisory and agree to submit for examination 主要指導研授 Adviser 共同指導研授 Co-Adviser ：　　　　　　　　　　　　　 ：　　　　　　　　　　　　　 　　　年／Year　　　月／Month　　　日／Day - iv - 樹德科技大學碩士班研究生 Graduate Student of Shu-Te University 學位考試審定書 Qualification Form of Master Degree 100 學年度第 學期 _研究所　　　　　　　　　　　　君所提之論文 題目： _ 經本學位考試委員會審議，認研符合碩士資格標準。 Student Name：Nguyen Thi Thom Thesis Title：“Study the factors affecting the intention to use the training management software at Vinh Phuc colleges in Vinh Phuc Province, Viet Nam” This is to certify that the thesis submitted by the student named above in March, 2013 It is qualified and approved by the Thesis Examination Committee 召集人 Chair, Thesis Committee 委　員 Committee Member ：　　　　　　　　　　　　　 ：　　　　　　　　　　　　　 -v- 委　員 Committee Member ：　　　　　　　　　　　　　 主要指導研授 Adviser Committee ：　　　　　　　　　　　　　 Member 共同指導研授 Co-Adviser Committee ：　　　　　　　　　　　　　 Member 系所主管 Director of Department ：　　　　　　　　　　　　　 　　　年／Year　　　月／Month　　　日／Day - vi - Department of Information Management, Shu-Te University Study the factors affecting the intention to use the training management software at Vinh Phuc colleges in Vinh Phuc Province, Viet Nam Student: Nguyen Thi Thom Co-adviser: Dr Nguyen Huu Chau Adviser: Dr Tsu-I Peng ABSTRACT The research has been implemented with the following aims: Finding solutions to encourage senior executives and employees to improve their knowledge of information technology, using application of information technology in their work actively and promoting the effective application of information technology in the school and contribute to improving the quality of training in Vinh Phuc province EduMan software could be applied for training management for secondary professional, colleges, universities, vocational colleges, primary vocational both formal and informal Besides, this software allows training management for short-term classes with comprehensive management functions in training area EduMan has been built based on current regulations on training management of Ministry of Training and Education and Ministry of Social and Labor This study has used technology acceptance model TAM to measure variables User training, Perceived ease of use, Perceived usefulness that have - vii - influence on the intention of use of training management software Eduman Based on 200 qualified questionnaires, study result shows that hypothesis in this study are accepted by respondents at an average level Therefore, it is recommended that software should be innovated, user training quality should be enhanced regarding to the intention of use of training management software Eduman at colleges in Vinh Phuc province Keywords: Technology Acceptance Model, Eduman software, Vinh Phuc College - viii - Acknowledgments Any attempt at any level cannot be satisfactorily completed without the support and guidance of learned people I would like to express my immense gratitude to Dr Loc Thi My Nguyen, Dr Pi-Yun Chen, Dr Tsu-I Peng and Mr Chau Huu Nguyen for their constant support and motivation that has encouraged me to come up with this project I am also thankful to all other members of the following universities: Vinh Phuc teacher training college, Viet Duc college; Economics college; Industrial college, Transportation technology university for having rendered their whole hearted support at all times for the successful completion of this project - ix - Table of Contents ABSTRACT vii Acknowledgments ix Table of Contents x List of Table xii List of Figures xiii Abbreviations xiv Chapter 1: Introduction 1.1.Research background .1 1.2.Research Motive 1.3.Research Purpose 1.4.Research questions 1.5.Research Procedure Chapter 2: Literature review 2.1.Eduman software introduction 2.2.TAM model 14 Chapter 3: Research Method 20 3.1.Research Model 20 3.2.The factors of model 20 3.3.Research Hypothesis 25 3.4.Sampling methods .26 3.5.Questionaire design .27 3.6.Measurement of Variables 27 3.7.Data collection .28 Chapter 4: Data Analysis 30 4.1.Sample characteristic 30 4.2.Desctiptive statistics 31 4.3.Factor Analysis 32 -x- This result shows that R square = 0.204, meaning that variable TR could explain 20.4% of the change of variable EU ANOVAa Model df Mean Square F Sig Regression 30.269 30.269 50.622 000b Residual 118.394 198 598 Total Sum of Squares 148.664 199 a Dependent Variable: EU b Predictors: (Constant), TR From the above table, according to ANOVA, p-value = 0.000 < 0.001 and F = 50.622, we could define the relationship between variable TR and independent variable EU Coefficientsa Model Unstandardized Coefficients Standardized Coefficients B (Constant) TR Std Error 2.091 252 470 066 t Sig Beta Collinearit y Statistics Tolerance 8.296 451 7.115 000 000 1.000 From the above result, we have defined a linear regression equation between TR and EU as follows: EU=0.470*TR+2.091 4.7 Regression In order to define the influence of variables e.g User training and Perceived Ease of Use to Perceived Usefulness, we have used a multiple regression analysis among independent variables e.g TR and EU to dependent variable PU We could get the below resutl: Variables Entered/Removeda Model Variables Entered Variables Removed EU, TRb Method Enter a Dependent Variable: PU b All requested variables entered Model Summary Model R 637a R Square 405 Adjusted R Square Std Error of the Estimate 399 67910 a Predictors: (Constant), EU, TR This result describes that R square = 0.405 and independent variables e.g EU and TR could explain that 40.5% of the change of dependent variable PU ANOVAa Model Sum of Squares df Mean Square Regression 61.921 30.961 Residual 90.851 197 461 F 67.134 Sig .000b Total 152.772 199 a Dependent Variable: PU b Predictors: (Constant), EU, TR Coefficientsa Unstandardized Coefficients B Standardized Coefficients Std Error (Constant) 823 483 065 Beta Tolerance 257 TR Collinearit y Statistics 3.201 457 002 7.425 000 796 EU 286 062 282 4.588 000 796 From the above table, we have multiple linear regression equation among dependent variables TR and EU with independent PU as follows: PU=TR*.483+EU*.286+.823 In order to define the influence of factors Perceived easy of use and Perceived usefulness to Intention to use Eduman software, we have used multiple linear regression between two independent variables e.g PU and EU with dependent IU We get regression analysis result in the following table Table 10: regression analysis result Variables Entered/Removeda Model Variables Entered Variables Removed PU, EUb Method Enter a Dependent Variable: IU b All requested variables entered Model Summary Model R 657a R Square Adjusted R Square 431 Std Error of the Estimate 425 70698 a Predictors: (Constant), PU, EU This result shows that R square = 0.431, dependent variables e.g PU and EU could explain 43.1% of the change of dependent variable IU ANOVAa Model Sum of Squares Regression 74.612 df Mean Square 37.306 F 74.640 Sig .000b Residual 98.464 173.076 Total 197 500 199 a Dependent Variable: IU b Predictors: (Constant), PU, EU Coefficientsa Model Unstandardized Coefficients B Standardized Coefficients Std Error (Constant) 609 366 066 PU 448 066 Sig Beta Collinearit y Statistics Tolerance 258 EU t 2.364 019 339 5.502 000 761 421 6.828 000 761 From those above results, we have multiple linear regression equation among EU and PU with IU as follows: IU=.366*EU+.448*PU+.609 *** Hypothesis testing • H1: User training positively affects perceived ease of use With coefficients p-value = 0.000 < 0.05 and t = 7.425 and this confirms the relation between two variables TR PU with Standardized Coefficient Beta = 457 Thus, hypothesis H1 is supported • H2: User training positively affects perceived usefulness With coefficients p-value = 0.000 < 0.05 and t = 7.115 and this confirms the relation between these two variables TR EU with Standardized Coefficient Beta = 451 Thus, hypothesis H2 is supported • H3: Perceived ease of use positively affects perceived usefulness With coefficients p-value = 0.000 < 0.05 and t = 4.588 and this confirms the relation between two variables EU PU with Standardized Coefficient Beta Beta= 282 Thus, hypothesis H3 is supported • H4: Perceived usefulness positively affects intention to use EduMan software With coefficients p-value = 0.000 < 0.05 and t = 6.828 and this confirms the relation between two variables PU IU with Standardized Coefficient Beta = 421 Thus, hypothesis H4 is supported • H5: Perceived ease of use positively affects intention to use EduMan software With coefficients p-value = 0.000 < 0.05 and t = 5.502 and this confirms the relation between two variables EU IU with Standardized Coefficient Beta = 339 Thus, hypothesis H5 is supported Table 11: The summary table of testing results Assumption Result H1: User training positively affects perceived ease of use Supported H2: User training positively affects perceived usefulness Supported H3: Perceived ease of use positively affects perceived usefulness Supported H4: Perceived usefulness positively affects intention to use Supported EduMan software H5: Perceived ease of use positively affects intention to use EduMan software Supported Chapter 5: Conclusion Study the factors affecting the intention to use the training management software at Vinh Phuc colleges in Vinh Phuc Province, Viet Nam This study used Technology acceptance model (TAM) with variables; User training, Perceived usefulness, Perceived ease of use, Intention to use Eduman software So that to find solutions to encourage senior executives and employees to improve their knowledge of information technology, use application of information technology in their work actively and promote the effective application of information technology in the school and contribute to improving the quality of training 5.1 Findings and Contributions This study was conducted with four groups of factors, 18 observed variables and five hypotheses On the basis of the survey five schools with 200 participants As a result, all five hypotheses are supported by the participants: Research Hypotheses Results H1: User training positively affects perceived ease of use Supported H2: User training positively affects perceived usefulness Supported H3: Perceived ease of use positively affects perceived usefulness Supported H4: Perceived usefulness positively affects intention to use EduMan Supported H5: Perceived ease of use positively affects intention to use EduMan Supported With this result of study, the technology acceptance model TAM is proven on training field in Vietnam All the factors User training, Perceived ease of use, Perceived usefulness affect intend to use the management software training Eduman positively Based on the results of this study help: - The schools recognize the usefulness and the advantages of the software and promote to apply technology to support the improvement of performance in professional and management - The manufacturing and trading company in the field of software training to continue improving the quality of software and services to support the user, so that to expand the market, development of the company 5.2 Suggestions Nowadays, when information technology is developing rapidly, the application of information technology in all areas is critical In training and education area, information technology has been applied in management activities at some colleges in and outside Vinh Phuc province However, as compared with current situation, the application of information technology in education area at other colleges in the province is quite limited We should quickly improve knowledge and level of information technology application of teachers and make this application an efficient tool for their jobs Based on guidance of Ministry of Training and Education, awareness of the importance of the application of information technology in supporting operational management is one of the most effective solution in training area, I have chosen this study subject With this study result, at table Descriptive Statistics, we can see that in groups of factors, coefficient Bean fluctuates from 3.63 to 3.82 Therefore, coefficient Bean is higher, improvement of the intention of use of training management software Eduman at colleges in Vinh Phuc province People who built up and implement software should quickly upgrade comprehensively software and training quality in order for training management software Eduman and quickly implemented at colleges in Vinh Phuc province in general and at Culture and Art College in particular 5.3 Limitations The study has just measured and assessed basic factors that have influenced on the intention of use of training management software Eduman based on the model Technology Acceptance TAM with following variables e.g User training, Perceived ease of use, Perceived usefulness influencing to the intention of software use of participants that are working at colleges in Vinh Phuc province In fact, there are many other factors that may have influence to the use of Eduman training management software such as: Interface, system speed, software accuracy, etc… Thus, it is necessary to have other study with higher generalization to factors that have influence to the intention of use of Eduman software – readiness to accept new technology of users in training area comprehensively and exactly Reference [1] [2] [3] The training documentation of Training management software Eduman The introduction documents of Vinh Phuc colleges in Vinh Phuc Province Davis, F D "Perceived Usefulness, Perceived Ease of Use, and User [4] Acceptance of Information Technology," MIS Quarterly, 13, 1989 Davis, F D.; Bagozzi, R P.; Warshaw, P R (1989), "User acceptance of computer technology: A comparison of two theoretical models", Management [5] Science 35 Adams, D A; Nelson, R R.; Todd, P A (1992), "Perceived usefulness, ease [6] of use, and usage of information technology: A replication", MIS Quarterly 16 Wang, Y.-S., Wu, M.-C., & Wang, H.-Y (2009) Investigating the determinants and age and gender differences in the acceptance of mobile [7] learning British Journal of Educational Technology Yoon, C & Kim, S (2007) Convenience and TAM in a ubiquitous computing environment: The case of wireless LAN Electronic Commerce Research & [8] Applications Venkatesh, V., Morris, M.G., Davis, F.D., and Davis, G.B “User Acceptance of Information Technology: Toward a Unified View,” MIS Quarterly, 27, [9] 2003 Venkatesh, V "Determinants of Perceived Ease of Use: Integrating Perceived Behavioral Control, Computer Anxiety and Enjoyment into the Technology [10] Acceptance Model,"Information Systems Research, 11, 2000 Venkatesh, V and Davis, F.D "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, [11] 46, 2000 Fishbein, M., and Ajzen, I Belief, Attitude, Intention and Behavior: An [12] Introduction to Theory and Research, Addison-Wesley, Reading, MA, 1975 Ajzen, Icek (1 December 1991) "The theory of planned behavior" Organizational Behavior and Human Decision Processes 50 [13] Hurd LE (1991) Evaluation of User Information Satisfaction of the Composite Health Care System: DTIC Document [14] Ismail A, Jamil AT, Rahman AFA, Bakar JMA, Saad NM, et al (2010) The implementation of Hospital Information System (HIS) in tertiary hospitals in Malaysia: a qualitative study [15] Bundschuh BB, Majeed RW, Bürkle T, Kuhn K, Sax U, et al (2011) Quality of human-computer interaction-results of a national usability survey of hospital-IT in Germany BMC medical informatics and decision making [16] Wong B, Arjpru C (2007) A Study of How User Satisfaction and User Dissatisfaction Affect the Success of an Information System [17] Al-Maskari A, Sanderson M (2010) A review of factors influencing user satisfaction in information retrieval Journal of the American Society for Information Science and Technology [18] Wixom BH, Todd PA (2005) A theoretical integration of user satisfaction and technology acceptance Information systems research [19] Au N, Ngai EWT, Cheng TCE (2008) Extending the understanding of end user information systems satisfaction formation: An equitable needs fulfillment model approach Mis Quarterly [20] Bokhari RH (2005) The relationship between system usage and user satisfaction: a meta-analysis Journal of Enterprise Information Management [21] Aggelidis VP, Chatzoglou PD (2012) Hospital information systems: Measuring end user computing satisfaction (EUCS) J biomed inform 45: 566579 Appendix: Questionnnaire PART I: General Information This part includes your personal information Please tick in the appropriate square For example:  Male  Female  Male  Under 30  Above 50  Manager Gender: Age: Job position  Female  From 30 to 39  Training  Department   From 40 to 49 Administration Department Ministrial Department IT basic level  Good  Normal Have you ever used any software on training management before?  Yes  No PART II: Information on training management software - (Eduman)  Quiet Please answer following questions on training management software For each question, please choose one answer by circling the appropriate number Circling your answer with one of five following numbers: Definitely not agree Not agree No comment agree For example: 4 Agree Definitely Variables/ Questions AgreeDefinitely not Not agree No comment Agree Definitely Agree User training TR1 Guildline documents are easy to understand TR2 Trainers are well-qualified with good experience TR3 Training equipments are good TR4 Training content and training period are appropriate TR5 I always receive fast support during the training TR6 After training, I find the software easy to use TR7 After training, I find the software necessary and useful to 1 1 1 2 2 2 3 3 3 4 4 4 5 5 5 Perceived ease of use EU1 It is easy to use the software in my job EU2 It saves time to conduct my job with the software EU3 It is simple to use functions in the software 1 2 3 4 5 EU4 It is fast to use the software proficiently Perceived usefulness PU1 It is efficient to control one’s work with the software 5 1 2 3 4 5 1 2 3 4 5 my job PU2 It saves time and could enhance working capability with the software PU3 It is convenient and comfortable to use the software PU4 The software is useful Intention to use ITU1 It is obvious to use the software if it is useful to my job ITU2 It is obvious to use the software if it is easy to use ITU3 It is obvious to use the software if it is necessary to my job ... use this model to Study the factors affecting the intention to use the training management software at Vinh Phuc colleges in Vinh Phuc Province, Viet Nam Figure 3: Research model 3.2 The factors. .. Information Management Thesis training management software at Vinh Phuc colleges in Study the factors affecting the intention to use the March, 2013 Nguyen Thi Thom Vinh Phuc Province, Viet Nam. .. Student Name：Nguyen Thi Thom Thesis Title：? ?Study the factors affecting the intention to use the training management software at Vinh Phuc colleges in Vinh Phuc Province, Viet Nam? ?? This is to certify