What drives the adoption of building information modeling in design organizations? An empirical investigation of the antecedents affecting architects' behavioral intentions

Automation in Construction

Volumn 49, Issue PA, 2015, Pages 92-99

  Son, Hyojoo ^a   Lee, Sungwook ^a   Kim, Changwan ^a  

^a Chung Ang University   (South Korea)

Author keywords

Architects; Behavioral intentions; Building information modeling; Design organizations; Structural equation model; Technology acceptance model

Indexed keywords

CONSTRUCTION INDUSTRY; CURRICULA; INFORMATION THEORY; STRUCTURAL DESIGN;

ARCHITECTS; BEHAVIORAL INTENTION; BUILDING INFORMATION MODEL - BIM; DESIGN ORGANIZATIONS; STRUCTURAL EQUATION MODELING; TECHNOLOGY ACCEPTANCE MODEL;

ARCHITECTURAL DESIGN;

EID: 84922566832     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2014.10.012     Document Type: Article

References (105)

1. G. Lee, R. Sacks, and C.M. Eastman Specifying parametric building object behavior (BOB) for a building information modeling system Automation in Construction 15 6 2006 758 776
2. McGraw-Hill Construction The Business Value of BIM in North America: Multi-year Trend Analysis and User Ratings (2007-2012) 2012 SmartMarket Rep., McGraw-Hill Construction Bedford, MA
3. R. Sacks Evaluation of economic impact of three-dimensional modeling in precast concrete engineering Journal of Computing in Civil Engineering 18 4 2004 301 312
4. R. Sacks, and R. Barak Impact of three-dimensional parametric modeling of buildings on productivity in structural engineering practice Automation in Construction 17 4 2008 439 449
5. McGraw-Hill Construction The Business Value of BIM: Getting BIM to the Bottom Line 2009 SmartMarket Rep., McGraw-Hill Construction Bedford, MA
6. Y. Kang, W.J. O'Brien, and S.P. Mulva Value of IT: indirect impact of IT on construction project performance via best practices Automation in Construction 35 2013 383 396
7. R. Deutsch BIM and Integrated Design: Strategies for Architectural Practice 2011 John Wiley & Sons Hoboken, NJ
8. N. Gu, and K. London Understanding and facilitating BIM adoption in the AEC industry Automation in Construction 19 8 2010 988 999
9. McGraw-Hill Construction The Business Value of BIM in South Korea: How Building Information Modeling is Driving Positive Change in the South Korean Construction Industry 2012 SmartMarket Rep., McGraw-Hill Construction Bedford, MA
10. V. Venkatesh, and F.D. Davis A theoretical extension of the technology acceptance model: four longitudinal field studies Management Science 46 2 2000 186 204
11. M. Fishbein, and I. Ajzen Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research 1975 Addison-Wesley Upper Saddle River, NJ
12. I. Ajzen, and M. Fishbein Understanding Attitudes and Predicting Behavior 1980 Prentice-Hall Inc. Englewood Cliffs, NJ
13. F.D. Davis Perceived usefulness, perceived ease of use, and user acceptance of information technology MIS Quarterly 13 3 1989 319 340
14. F.D. Davis, R.P. Bagozzi, and P.R. Warshaw User acceptance of computer technology: a comparison of two theoretical models Management Science 35 8 1989 982 1003
15. V. Venkatesh, M.G. Morris, G.B. Davis, and F.D. Davis User acceptance of information technology: toward a unified view MIS Quarterly 27 3 2003 425 478
16. B. Chung, M.J. Skibniewski, and Y.H. Kwak Developing ERP systems success model for the construction industry Journal of Construction Engineering Management 135 3 2009 207 216
17. Y. Park, H. Son, and C. Kim Investigating the determinants of construction professionals' acceptance of web-based training: an extension of the technology acceptance model Automation in Construction 22 2012 377 386
18. W.W. Chin, and P.A. Todd On the use, usefulness and ease of use of structural equation modeling in MIS research: a note of caution MIS Quarterly 19 2 1995 237 246
19. W.J. Doll, A. Hendrickson, and X. Deng Using Davis's perceived usefulness and ease-of-use instruments for decision making: a confirmatory and multigroup invariance analysis Decision Sciences 29 4 1998 839 869
20. S. Chang, and F. Tung An empirical investigation of students' behavioural intentions to use the online learning course websites British Journal of Educational Technology 39 1 2008 71 83
21. B. Chung, M.J. Skibniewski, H.C. Lucas Jr., and Y.H. Kwak Analyzing enterprise resource planning system implementation success factors in the engineering-construction industry Journal of Computing in Civil Engineering 22 6 2008 373 382
22. H. Son, Y. Park, C. Kim, and J.-S. Chou Toward an understanding of construction professionals' acceptance of mobile computing devices in South Korea: an extension of the technology acceptance model Automation in Construction 28 2012 82 90
23. B. Szajna Empirical evaluation of the revised technology acceptance model Management Science 42 1 1996 85 92
24. D. Gefen, and D.W. Straub Gender differences in the perception and use of e-mail: an extension to the technology acceptance model MIS Quarterly 21 4 1997 389 400
25. F. Calisir, C.A. Gumussoy, and A. Bayram Predicting the behavioral intention to use enterprise resource planning systems: an extension of the technology acceptance model Management Research News 32 7 2009 597 613
26. D.A. Adams, R.R. Nelson, and P.A. Todd Perceived usefulness, ease of use, and usage of information technology: a replication MIS Quarterly 16 2 1992 227 247
27. B.S. Ragu-Nathan, C.H. Apigian, T.S. Ragu-Nathan, and Q. Tu A path analytic study of the effect of top management support for information systems performance Omega 32 6 2004 459 471
28. H.C. Lucas Empirical evidence for a descriptive model of implementation MIS Quarterly 2 2 1978 27 41
29. J.Y.L. Thong, C.S. Yap, and K.S. Raman Top management support, external expertise and information systems implementation in small businesses Information Systems Research 7 2 1996 248 267
30. E.W.T. Nagi, C.C.H. Law, and F.K.T. Wat Examining the critical success factors in the adoption of enterprise resource planning Computers in Industry 59 6 2008 548 564
31. W. Lewis, R. Agarwal, and V. Sambamurthy Sources of influence on beliefs about information technology use: an empirical study of knowledge workers MIS Quarterly 27 4 2003 657 678
32. H.-F. Lin An investigation into the effects of IS quality and top management support on ERP system usage Total Quality Management and Business Excellence 21 3 2010 335 349
33. R.L. Thompson, C.A. Higgins, and J.M. Howell Personal computing: toward a conceptual model of utilization MIS Quarterly 15 1 1991 125 143
34. H.C. Triandis Values, attitudes, and interpersonal behavior Proc. Nebraska Symp. on Motivation, 1979: Beliefs, Attitudes, and Values 1980 University of Nebraska Press Lincoln, NE 195 259
35. S. Taylor, and P.A. Todd Understanding information technology usage: a test of competing models Ind. Manage. Data Syst. 6 2 1995 144 176
36. M. Igbaria, N. Zinatelli, P. Cragg, and A.L.M. Cavaye Personal computing acceptance factors in small firms: a structural equation model MIS Quarterly 21 3 1997 279 305
37. V. Venkatesh Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model Information Systems Research 11 4 2000 342 365
38. J.H. Wu, S.C. Wang, and L.M. Lin Mobile computing acceptance factors in the healthcare industry: a structural equation model International Journal of Medical Informatics 76 1 2007 66 77
39. K. Rouibah, H.I. Hamdy, and M.Z. Al-Enezi Effect of management support, training, and user involvement on system usage and satisfaction in Kuwait Industrial Management and Data Systems 109 3 2009 338 356
40. D. Karaali, C.A. Gumussoy, and F. Calisir Factors affecting the intention to use a web-based learning system among blue-collar workers in the automotive industry Computers in Human Behavior 27 1 2010 343 354
41. J.M. Davis, and B.M. Tuttle A heuristic-systematic model of end-user information processing when encountering IS exceptions Information and Management 50 2-3 2013 125 133
42. H.C. Triandis Attitude and Attitude Change 1971 John Wiley & Sons New York, NY
43. P.J.H. Hu, T.H.K. Clark, and W.W. Ma Examining technology acceptance by school teachers: a longitudinal study Information and Management 41 2 2003 227 241
44. J. Bourgonjon, M. Valcke, R. Soetaert, B. De Wever, and T. Schellens Parental acceptance of digital game-based learning Computers in Education 57 1 2011 1434 1444
45. M.Y. Yi, J.D. Jackson, J.S. Park, and J.C. Probst Understanding information technology acceptance by individual professionals: toward an integrative view Information and Management 43 3 2006 350 363
46. R. Davis, and D. Wong Conceptualizing and measuring the optimal experience of the eLearning environment Journal of Innovative Education 5 1 2007 97 126
47. M. Khalifa, and K.N. Shen Explaining the adoption of transactional B2C mobile commerce Journal of Enterprise Information Management 21 2 2008 110 124
48. P. Yu, H. Li, and M.-P. Gagnon Health IT acceptance factors in long-term care facilities: a cross-sectional survey International Journal of Medical Informatics 78 4 2009 219 229
49. E. Rogers The Diffusion of Innovations 1995 The Free Press New York, NY
50. B.C. Hardgrave, F.D. Davis, and C.K. Riemenschneider Investigating determinants of software developers' intentions to follow methodologies Journal of Management Information Systems 20 1 2003 123 151
51. H.-L. Liao, and H.-P. Lu The role of experience and innovation characteristics in the adoption and continued use of e-learning websites Computers in Education 51 4 2008 1405 1416
52. E.D. Chen, M.L. Gillenson, and D.L. Sherrell Enticing online consumers: an extended technology acceptance perspective Information and Management 39 8 2002 705 719
53. E.M. Rogers Diffusion of Innovations 5th ed. 2003 Free Press New York, NY
54. J.Y.L. Thong An integrated model of information systems adoption in small businesses Journal of Management Information Systems 15 4 1999 187 214
55. J.-H. Wu, and S.-C. Wang What drives mobile commerce? An empirical evaluation of the revised technology acceptance model Information and Management 42 5 2005 719 729
56. H.-P. Shih Continued use of a Chinese online portal: an empirical study Behaviour & Information Technology 27 3 2008 201 209
57. C.A. Gumussoy, and F. Calisir Understanding factors affecting e-reverse auction use: an integrative approach Computers in Human Behavior 25 4 2009 975 988
58. M.H. Ryu, S. Kim, and E. Lee Understanding the factors affecting online elderly user's participation in video UCC services Computers in Human Behavior 25 3 2009 619 632
59. Y. Sun, A. Bhattacherjee, and Q. Ma Extending technology usage to work settings: the role of perceived work compatibility in ERP implementation Information and Management 46 6 2009 351 356
60. R.-Z. Kuo, and G.-G. Lee Knowledge management system adoption: exploring the effects of empowering leadership, task-technology fit and compatibility Behaviour & Information Technology 30 1 2011 113 129
61. R. Kishore, and E.R. McLean Reconceptualizing innovation compatibility as organizational alignment in secondary IT adoption contexts: an investigation of software reuse infusion IEEE Transactions on Engineering Management 54 4 2007 756 775
62. D.R. Compeau, and C.A. Higgins Computer self-efficacy: development of a measure and initial test MIS Quarterly 19 2 1995 189 211
63. V.P. Aggelidis, and P.D. Chatzoglou Using a modified technology acceptance model in hospitals International Journal of Medical Informatics 78 2 2009 115 126
64. A. Bandura Social Foundations of Thought and Action: A Cognitive Social Theory 1986 Prentice-Hall Englewood Cliffs, NJ
65. P.Y. Chau, and P.J.H. Hu Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories Information and Management 39 4 2002 297 311
66. A. Durndell, and Z. Haag Computer self-efficacy, computer anxiety, attitudes towards the internet and reported experience with the internet, by gender, in and East European sample Computers in Human Behavior 18 5 2002 521 535
67. R. Agarwal, and E. Karahanna Time flies when you're having fun: cognitive absorption and beliefs about information technology usage MIS Quarterly 24 4 2000 665 694
68. N. Schillewaert, M.J. Ahearne, R.T. Frambach, and R.K. Moenaert The adoption of information technology in the sales force Industrial Marketing Management 34 4 2005 323 336
69. C.-S. Ong, and J.-Y. Lai Gender differences in perceptions and relationships among dominants of e-learning acceptance Computers in Human Behavior 22 5 2006 816 829
70. P.D. Chatzoglou, L. Sarigiannidis, E. Vraimaki, and A. Diamantidis Investigating Greek employees' intention to use web-based training Journal Computer and Education 53 3 2009 877 889
71. Y.-Y. Shih, and S.-S. Huang The actual usage of ERP systems: an extended technology acceptance perspective Journal of Research and Practice in Information Technology 41 3 2009 263 276
72. A. Winston, World architecture online top 100 in 2013. Building Design, < http://www.bdonline.co.uk > last accessed June 2014.
73. I. Ajzen The theory of planned behavior Organizational Behavior and Human Decision Processes 50 2 1991 179 211
74. S. Oh, J. Ahn, and B. Kim Adoption of broadband Internet in Korea: the role of experience in building attitudes Journal of Information Technology 18 4 2003 267 280
75. J.C. Roca, C.M. Chiu, and F.J. Martinez Understanding e-learning continuance intention: an extension of the technology acceptance model International Journal of Human-Computer Studies 64 8 2006 683 696
76. F.C. Tung, S.C. Chang, and C.M. Chou An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry International Journal of Medical Informatics 77 5 2008 324 335
77. C. Jang Measuring electronic government procurement success and testing for the moderating effect of computer self-efficacy International Journal of Digital Content Technology and its Applications 4 3 2010 224 232
78. J.C. Nunnally Psychometric Theory second ed. 1978 McGraw-Hill New York, NY
79. J.F. Hair, R.E. Anderson, R.L. Tatham, and W.C. Black Multivariate Data Analysis with Readings 1998 Prentice-Hall Upper Saddle River, NJ
80. C. Fornell, and D.F. Larcker Evaluating structural equation models with unobservable variables and measurement error Journal of Marketing Research 18 1 1981 39 50
81. M. Igbaria User acceptance of microcomputer technology: an empirical test Omega 21 1 1993 73 90
82. J.F. Hair Jr., B. Black, B.J. Babin, R.E. Anderson, and R.L. Tatham Multivariate Data Analysis 6th ed. 2006 Prentice Hall Upper Saddle River, NJ
83. J.C. Nunnally, and I.H. Bernstein Psychometric Theory 1994 McGraw-Hill New York, NY
84. A.H. Segars Assessing the unidimensionality of measurement: a paradigm and illustration within the context of information systems research Omega 25 1 1997 107 121
85. M.W. Browne, and R. Cudeck Single sample cross-validation indices for covariance structures Multivariate Behavioral Research 24 4 1989 445 455
86. L.T. Hu, and P.M. Bentler Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives Structural Equation Modeling 6 1 1999 1 55
87. S. Sharma, S. Mukherjee, A. Kumar, and W.R. Dillon A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models Journal of Business Research 58 7 2005 935 943
88. R.B. Kline Principles and Practices of Structural Equation Modeling 1998 Guildford Press New York, NY
89. B. Park Faculty Adoption and Utilization of Web-assisted Instruction (WAI) in Higher Education: Structural Equation Modeling (SEM) (Ph.D. Dissertation) 2003 The Florida State University Tallahassee, Fl
90. V.S. Lai, and H. Li Technology acceptance model for internet banking: an invariance analysis Information and Management 42 2 2005 373 386
91. Y.-L. Chen Modeling the determinants of Internet use Computers in Education 51 2 2008 545 558
92. W. Kilbourne, and G. Pickett How materialism affects environmental beliefs, concern, and environmentally responsible behavior Journal of Business Research 61 9 2008 885 893
93. H.H. Chang, and S.W. Chen Consumer perception of interface quality, security, and loyalty in electronic commerce Information and Management 46 7 2009 411 417
94. D. Miller, and J. Hartwick Spotting management fads Harvard Business Review 80 10 2002 26 27
95. S.Y.X. Komiak, and I. Benbasat The effects of personalization and familiarity on trust and adoption of recommendation agents MIS Quarterly 30 4 2006 941 960
96. J.Y.L. Thong, W. Hong, and K.-Y. Tam Understanding user acceptance of digital libraries: what are the roles of interface characteristics, organizational context, and individual differences? International Journal of Human-Computer Studies 57 3 2002 215 242
97. N. Park Adoption and use of computer-based voice over internet protocol phone service: toward an integrated model Journal of Communication 60 1 2010 40 72
98. E. Karahanna, D.W. Straub, and N.L. Chervany Information technology adoption across time MIS Quarterly 23 2 1999 183 213
99. McGraw-Hill Construction BIM: Transforming Design and Construction to Achieve Greater Industry Productivity 2008 SmartMarket Rep., McGraw Hill Construction Bedford, MA
100. I. Kaner, R. Sacks, W. Kassian, and T. Quitt Case studies of BIM adoption for precast concrete design by mid-sized structural engineering firms The Journal of Information Technology in Construction 13 Special Issue 2008 303 323
101. C. McCartney Factors affecting the uptake of building information modelling (BIM) in the Auckland architecture, engineering & construction (AEC) industry Undergraduate Research Report 2010 Bachelor of Construction, Unitec Institute of Technology Auckland, New Zealand
102. B. Becerik-Gerber, and K. Kensek Building information modeling in architecture, engineering, and construction: emerging research directions and trends Journal Of Professional Issues In Engineering Education And Practice 136 3 2010 139 147
103. infoComm International Building Information Mo-deling On-line: http://www.infocomm.org/cps/rde/xbcr/infocomm/BIM-Brochure.pdf (last accessed June 2014)
104. P.G. Bernstein, and J.H. Pittman Barriers to the Adoption of Building Information Modeling in the Building Industry, Autodesk Building Solutions (White Paper) 2004 Autodesk, Inc. San Rafael, CA
105. I.M. Srour, C.T. Haas, and J.D. Borcherding What does the construction industry value in its workers? Journal of Construction Engineering and Management 132 10 2006 1053 1058