The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Predicting Intention to Adopt Interorganizational Linkages: An Institutional Perspective1
Abstract
This study used institutional theory as a lens to understand the factors that enable the adoption of interorganizational systems. It posits that mimetic, coercive, and normative pressures existing in an institutionalized environment could influence organizational predisposition toward an information technology-based interorganizational linkage. Survey-based research was carried out to test this theory. Following questionnaire development, validation, and pretest with a pilot study, data were collected from the CEO, the CFO, and the CIO to measure the institutional pressures they faced and their intentions to adopt financial electronic data interchange (FEDI). A firm-level structural model was developed based on the CEO’s, the CFO’s, and the CIO’s data. LISREL and PLS were used for testing the measurement and structural models respectively. Results showed that all three institutional pressures— mimetic pressures, coercive pressures, and normative pressures—had a significant influence on organizational intention to adopt FEDI. Except for perceived extent of adoption among suppliers, all other subconstructs were significant in the model. These results provide strong support for institutional-based variables as predictors of adoption intention for interorganizational linkages. These findings indicate that organizations are embedded in institutional networks and call for greater attention to be directed at understanding institutional pressures when investigating information technology innovations adoption.
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“Mimetic, coercive, and normative forces can play a role in influencing institutions to adopt digital transformation (Teo et al., 2003).”
From Mastering digital transformation: The nexus between leadership, agility, and digital strategy (2022) · cites this paper as Teo et al., 2003
Citations
Cites
DiMaggio, P. J., & Powell, W. W. (1983) · American Sociological Review · doi:10.2307/2095101 · Cited by 38,435
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
Economic Action and Social Structure: The Problem of Embeddedness
Granovetter, M. (1985) · American Journal of Sociology · doi:10.1086/228311 · Cited by 28,745
Institutionalized Organizations: Formal Structure as Myth and Ceremony
Meyer, J. W., & Rowan, B. (1977) · American Journal of Sociology · doi:10.1086/226550 · Cited by 28,308
DiMaggio, P., & Powell, W. W. (2004) · Advances in strategic management · doi:10.1016/s0742-3322(00)17011-1 · Cited by 25,973
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
A theory of social comparison processes
Festinger, L. (1954) · Human Relations · doi:10.1177/001872675400700202 · Cited by 20,926
External Control of Organizations: Resource Dependence Perspective
Miner, J. B. (2011) · Routledge eBooks · doi:10.4324/9781315701967-54 · Cited by 14,229
The New Institutionalism in Organizational Analysis
Powell, W., & DiMaggio, P. (1993) · Administrative Science Quarterly · doi:10.2307/2393344 · Cited by 11,926
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Self-citation
Research works printed but not linked: 19
- Azjen, 1980, Understanding Attitudes and Predicting Behavior
- Bagozzi, 1980, Causal Models in Marketing
- Bagozzi, 1982, Theoretical Concepts, Measurement, and Meaning
- Barclay, 1995, The Partial Least Squares Approach to Causal Modeling: Personal Computer Adoption and Use as an Illustration, Technology Studies, 2, 285
- Cyert, 1963, A Behavioral Theory of the Firm
- Fallon, 1988, GM Europe Blazes EDI Trail: Will Link 2000 Suppliers in Seven Countries, MIS Week
- Fornell, 1982, A Second Generation of Multivariate Analysis, Methods
- King, 1990, Singapore’s TradeNet: A Tale of One City
- Kerlinger, 1986, Foundations of Behavioral Research
- March, 1981, Decisions in Organizations and Theories of Choice, 205
- Miner, 1995, Population Level Learning, 115
- Nunnally, 1978, Psychometric Theory
- O’Hanlon, 1993, Financial Electronic Data Interchange: Closing the Loop
- Poole, 1989, Toward a General Theory of Innovation Processes, 637
- Rogers, 1995, Diffusion of Innovations
- Schelling, 1978, Micromotives and Macrobehavior
- Sisodia, 1992, Singapore Invests in the Nation-Corporation, Harvard Business Review, 70, 40
- Teo, H. H. Organizational Predisposition Toward an Information Technology Innovation Adoption: The Roles of Three Theoretical Perspectives in the Case of Financial Electronic Data Interchange, Unpublished Ph.D. Dissertation, National University of Singapore, October 1998.
- Teo, 2001, Factors Influencing the Adoption of IT-Based Interorganizational Linkages: An Integrative Perspective
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Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148781 · Cited by 3,921
“These findings extend the work of Teo et al. (2003b) from the adoption phase to the assimilation phase of IT innovations.”
BackgroundMethodResultInfluentialStructural Equation Modeling in Information Systems Research Using Partial Least Squares
Urbach, N., & Ahlemann, F. (2010) · The Journal of Information Technology Theory and Application · Cited by 1,659
Zhu, K., & Kraemer, K. L. (2005) · Information Systems Research · doi:10.1287/isre.1050.0045 · Cited by 1,723
“Hence, we include technology competence in our model.5 Second, e-business is also influenced by organizational factors because these variables may constrain or facilitate the implementation and usage of e-business (Teo et al. 2003).”
BackgroundUnderstanding the determinants of RFID adoption in the manufacturing industry
Wang, Y.-M., Wang, Y.-S., & Yang, Y.-F. (2010) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2010.03.006 · Cited by 912
Dubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019) · British Journal of Management · doi:10.1111/1467-8551.12355 · Cited by 881
“Teo et al. (2003) argue that NP acts as an impetus for the adoption of interorganizational information systems.”
How the use of big data analytics affects value creation in supply chain management
Chen, D. Q., Preston, D. S., & Swink, M. (2015) · Journal of Management Information Systems · doi:10.1080/07421222.2015.1138364 · Cited by 829
“In the following subsections we discuss the instrument, including measures, used for this study and the data collection process.”
Mastering digital transformation: The nexus between leadership, agility, and digital strategy
AlNuaimi, B. K., Kumar Singh, S., Ren, S., Budhwar, P., & Vorobyev, D. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.03.038 · Cited by 820
Digital innovation: A review and synthesis
Kohli, R., & Melville, N. P. (2018) · Information Systems Journal · doi:10.1111/isj.12193 · Cited by 909
“…studies spanning research clusters identified using scientometrics (Armstrong & Sambamurthy, 1999; Chwelos, Benbasat, & Dexter, 2001; King et al., 1994; Ko, Kirsch, & King, 2005; Liang, Sharaf, Hu, & Xue, 2007; Lyytinen & Yoo, 2002; Orlikowski, 1996; Straub, 1994; Swanson, 1994; Teo et al., 2003).”
Zhu, K. X., Dong, S., Xu, S. X., & Kraemer, K. L. (2006) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000650 · Cited by 800
“Within the environmental context, major players in the external environment can be classified into two groups: horizontal competitors and vertical trading partners (Teo et al ., 2003).”
Chin, W. W., Cheah, J., Liu, Y., Ting, H., Lim, X., & Cham, T. (2020) · Industrial Management & Data Systems · doi:10.1108/imds-10-2019-0529 · Cited by 876
The Technology–Organization–Environment Framework
Baker, J. (2012) · Integrated Series in Information Systems · doi:10.1007/978-1-4419-6108-2_12 · Cited by 1,275
Structure! Agency! (And Other Quarrels): A Meta-Analysis Of Institutional Theories Of Organization
Heugens, P. P. M. A. R., & Lander, M. W. (2009) · Academy of Management Journal · doi:10.5465/amj.2009.36461835 · Cited by 626
Fichman, R. G. (2004) · Journal of the Association for Information Systems · doi:10.17705/1jais.00054 · Cited by 602
“One is to capture static managerial perceptions, as was done by Teo et al. (2003), who used perceptions of the three institutional forces as predictors of intention to adopt inter-organizational systems.”
BackgroundLiu, H., Ke, W., Wei, K., Gu, J., & Chen, H. (2009) · Journal of Operations Management · doi:10.1016/j.jom.2009.11.010 · Cited by 595
“significant influences of perceived coercive pressures (e.g., Khalifa and Davison, 2006; Teo et al., 2003), others show that they are insignificant (e.”
BackgroundResultInfluentialSelf-citationAubert, B. A., Schroeder, A., & Grimaudo, J. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.07.002 · Cited by 573
Khalifa, M., & Liu, V. (2007) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000711 · Cited by 568
“The research model was tested by conducting a survey study, which presents the advantages of enabling replic-ability, strengthening statistical power and serving as a foundation for building generalisability (Teo et al ., 2003).”
MethodBesson, P., & Rowe, F. (2012) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2012.05.001 · Cited by 591
Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly
Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012) · Journal of the Association for Information Systems · Cited by 520
Zhu, K., Kraemer, K. L., Gurbaxani, V., & Xu, S. X. (2006) · MIS Quarterly · doi:10.2307/25148771 · Cited by 500
“…to believe that the expected benefits from open-standard IOS are strongly influenced by network effects (Katz and Shapiro 1985), which have been empirically identified as a significant factor in explaining technology diffusion in other settings (Brynjolfsson and Kemerer 1996; Kauffman et al. 2000).”
BackgroundInfluentialZHU, K., KRAEMER, K. L., & DEDRICK, J. (2004) · Journal of Management Information Systems · doi:10.1080/07421222.2004.11045797 · Cited by 775
“Previous literature has shown that competitive pressure is an important factor driving firms to adopt a new technology in order to avoid competitive decline [36, 67].”
BackgroundChae, H.-C., Koh, C. E., & Prybutok, V. R. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.1.14 · Cited by 461
Consumer purchase intentions for electric vehicles: Is green more important than price and range?
Degirmenci, K., & Breitner, M. H. (2017) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2017.01.001 · Cited by 469
Popovič, A., Hackney, R., Coelho, P. S., & Jaklič, J. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.08.017 · Cited by 546
“Second, PLS is more appropriate when a research model is in an early stage of development and has not been tested extensively [74].”
BackgroundEvaluating the Role of Trust in Consumer Adoption of Mobile Payment Systems: An Empirical Analysis
Chandra, S., Srivastava, S. C., & Theng, Y. (2010) · Communications of the Association for Information Systems · doi:10.17705/1cais.02729 · Cited by 462
“, institutional pressures [Liang et al., 2007; Teo et al., 2003], regulatory pressures and legal provisions [Porteous, 2006].”
BackgroundThe adoption of mobile healthcare by hospital's professionals: An integrative perspective
Wu, I., Li, J.-Y., & Fu, C.-Y. (2011) · Decision Support Systems · doi:10.1016/j.dss.2011.03.003 · Cited by 429
“In addition, many researchers have generally argued that the acceptance of an emerging IT in hospitals may be affected by some hospital characteristics other than IT-related attributes, such as hospital size/type and user/provider type [28,33,48,52].”
BackgroundRai, A., & Tang, X. (2010) · Information Systems Research · doi:10.1287/isre.1100.0299 · Cited by 420
“Though there has been progress in our understanding of the organizational assimilation of structural IT capabilities (Bala and Venkatesh 2007, Teo et al. 2003) and of the impact of IT capabilities on interfirm process capabilities (Gosain et al. 2004, Rai et al. 2006), there has been limited…”
BackgroundColwell, S. R., & Joshi, A. W. (2011) · Business Strategy and the Environment · doi:10.1002/bse.732 · Cited by 400
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“The findings were consistent with previous studies, which argued that institutional pressure is an important determinant of technology adoption [37,73,36].”
BackgroundResultConceptualizing models using multidimensional constructs: a review and guidelines for their use
Polites, G. L., Roberts, N., & Thatcher, J. B. (2011) · European Journal of Information Systems · doi:10.1057/ejis.2011.10 · Cited by 343
“For example, Teo et al (2003) referred to their three second-order Mimetic, Coercive, and Normative Pressure constructs as ‘superordinate’, even though each construct is formed from several dimensions, and these dimensions each have reflective indicators.”
BackgroundChen, J., Tsou, H., & Huang, A. Y.-H. (2009) · Journal of Service Research · doi:10.1177/1094670509338619 · Cited by 367
“Third, PLS is more appropriate when the research model is in an early stage of development and has not been tested extensively (Teo, Wei, and Benbasat 2003).”
MethodSon, J.-Y., & Benbasat, I. (2007) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240102 · Cited by 348
“Another type of normative pressure originates from the participation in trade and professional associations (Teo et al. 2003) Normative rules about organizational behavior are defined and promulgated through the active participation in a wide array of events like conferences, workshops, and…”
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Xue, Liang, H., & Boulton, W. R. (2008) · MIS Quarterly · doi:10.2307/25148829 · Cited by 314
“Second, institutional effects on IT decisions have been supported by conceptual research (Gosain 2004; Swanson 1997; Swanson and Ramiller 2004) and empirical studies (Flanagin 2000; Liang et al. 2007; Teo et al. 2003; Tingling and Parent 2002) in the IS literature.”
BackgroundUnderstanding the Factors Affecting the Organizational Adoption of Big Data
Sun, S., Cegielski, C. G., Jia, L., & Hall, D. J. (2016) · Journal of Computer Information Systems · doi:10.1080/08874417.2016.1222891 · Cited by 306
“Prior studies have used this theory to explain IT adoption (e.g., [5, 42, 47]).”
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Lee, G., & Xia, W. (2006) · Information & Management · doi:10.1016/j.im.2006.09.003 · Cited by 305
“[69] Financial EDI Mixed Mixed FP ADPT FIRM P 222 0.”
BackgroundPositioning the Institutional Perspective in Information Systems Research
Mignerat, M., & Rivard, S. (2009) · Journal of Information Technology · doi:10.1057/jit.2009.13 · Cited by 303
“T he idea that managerial decisions and actions are aimed at maximizing efficiency and effectiveness is a commonly held assumption in IS research (Avgerou, 2000; Tingling and Parent, 2002; Teo et al ., 2003).”
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BackgroundShibin, K. T., Dubey, R., Gunasekaran, A., Hazen, B. T., Roubaud, D., Gupta, S., & Foropon, C. R. H. (2017) · Annals of Operations Research · doi:10.1007/s10479-017-2706-x · Cited by 350
Agi, M. A. N., & Jha, A. (2022) · International Journal of Production Economics · doi:10.1016/j.ijpe.2022.108458 · Cited by 225
Venkatesh, V. (2006) · Decision Sciences · doi:10.1111/j.1540-5414.2006.00136.x · Cited by 299
“…Kekre, & Mukhopadhyay, 1994; Iacovou, Benbasat, & Dexter, 1995; Mukhopadhyay, Kekre, & Kalathur, 1995; Wang & Seidmann, 1995; Hart & Saunders, 1997, 1998; Chwelos, Benbasat, & Dexter, 2001; Teo, Wei, & Benbasat, 2003; Premkumar, Ramamurthy, & Saunders, 2005; Saed, Malhotra, & Grover, 2005).”
Bai, Y., Yao, Z., & Dou, Y. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2015.04.011 · Cited by 286
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Malik, S., Chadhar, M., Vatanasakdakul, S., & Chetty, M. (2021) · Sustainability · doi:10.3390/su13169404 · Cited by 361
“Perceived information transparency (PIT) Access to information across the blockchain [101] View of any activity with the data in the blockchain See the flow of the entire data in the blockchain”
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Morton, N. A., & Hu, Q. (2008) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2008.01.008 · Cited by 286
Lin, T., Wu, S., Hsu, J. S., & Chou, Y.-C. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.04.004 · Cited by 284
“PLS is considered an appropriate statistical tool when the research model is in the exploratory stage, and where content and variables have not been extensively tested [74].”
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“We measured normative, mimetic, and coercive pressures using items adapted from Teo et al. (2003).”
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Grover, V., & Lyytinen, K. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.2.01 · Cited by 264
“Teo et al. (2003) drew from institutional theory to examine various institutional constructs and their prediction of the intention to adopt financial electronic data interchange.”
BackgroundAdoption of cloud computing technologies in supply chains
Cegielski, C. G., Jones‐Farmer, L. A., Wu, Y., & Hazen, B. T. (2012) · The International Journal of Logistics Management · doi:10.1108/09574091211265350 · Cited by 263
Robey, D., Im, G. P., Wareham, J. D., & ESADE (2008) · Journal of the Association for Information Systems · doi:10.17705/1jais.00171 · Cited by 266
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Banker, R., Bardhan, I., Chang, H.-H., & Lin, S.-P. (2006) · MIS Q. · doi:10.2307/25148733 · Cited by 407
“…0.9 IFI 0.88 0.87 0.88 > 0.9 RMSEA 0.06 0.06 0.06 0.05 to 0.08 Chi-square/df 3.59 3.79 3.39 < 3.0 Tucker-Lewis Index 0.85 0.85 0.86 > 0.9 * Recommended goodness-of-fit indices (GFI) are based on Teo et al. (2003), although lower thresholds for fit indices have been reported in the prior literature.”
BackgroundInfluentialWright, R. T., Campbell, D. E., Thatcher, J. B., & Roberts, N. (2012) · Communications of the Association for Information Systems · doi:10.17705/1cais.03023 · Cited by 256
Wu, Y., Cegielski, C. G., Hazen, B. T., & Hall, D. (2013) · Journal of Supply Chain Management · doi:10.1111/j.1745-493x.2012.03287.x · Cited by 248
Hu, Q., Hart, P., & Cooke, D. K. (2007) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2007.05.004 · Cited by 253
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BackgroundHuo, B., Zhao, X., & Zhou, H. (2013) · Production and Operations Management · doi:10.1111/poms.12044 · Cited by 247
“Chwelos et al. (2001) and Teo et al. (2003) found competitive pressure to be a significant predictor of the intent to adopt EDI.”
BackgroundPhan, T. N., & Baird, K. M. (2015) · Journal of Environmental Management · doi:10.1016/j.jenvman.2015.06.006 · Cited by 247
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“Moreover, our codes are consistent with a large body of prior research from where we derived theoretical mechanisms (e.g., Dyer and Singh 1998, Gilbert 2005, Teo et al. 2003).”
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“A related stream of research has sought to improve our understanding of what contributes to the adoption of information systems by organizations (e.g., Chau and Tam 2000; Teo et al. 2003).”
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Sila, I. (2013) · Electronic Commerce Research · doi:10.1007/s10660-013-9110-7 · Cited by 251
“Teo et al. [97] posited that institutional pressures also affect the adoption of supply chain linkages.”
BackgroundMethodVillena, V. H., & Dhanorkar, S. (2020) · Journal of Operations Management · doi:10.1002/joom.1088 · Cited by 253
Bharati, P., Zhang, W., & Chaudhury, A. (2015) · Journal of Knowledge Management · doi:10.1108/jkm-11-2014-0467 · Cited by 263
“Leana and Pil(2006) Teo et al. (2003) COG2 Competitors who are important to us think that new technologies are useful.”
InfluentialAdoption of open government data among government agencies
Wang, H., & Lo, J. (2016) · Government Information Quarterly · doi:10.1016/j.giq.2015.11.004 · Cited by 246
“innovation adoption (Hart & Saunders, 1998; Hu & Quan, 2006; Mezias, 1990), both in private (e.g., Liang et al., 2007; Teo et al., 2003) and public organizations (e.”
BackgroundSocial media’s impact on organizational performance and entrepreneurial orientation in organizations
Parveen, F., Jaafar, N. I., & Ainin, S. (2016) · Management Decision · doi:10.1108/md-08-2015-0336 · Cited by 295
Hong, W., & Zhu, K. (2006) · Information & Management · doi:10.1016/j.im.2005.06.003 · Cited by 390
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BackgroundChai, S., & Kim, M. (2011) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2011.07.004 · Cited by 228
Zhang, C., & Dhaliwal, J. (2008) · International Journal of Production Economics · doi:10.1016/j.ijpe.2008.07.023 · Cited by 236
“Firms with greater market power may put coercive pressure on dependent partners to adopt technological innovations (Hart and Saunders, 1998; Teo et al., 2003).”
BackgroundInfluentialKe, W., Liu, H., Wei, K., Gu, J., & Chen, H. (2008) · Decision Support Systems · doi:10.1016/j.dss.2008.11.008 · Cited by 230
“However, according to institutional theory, the focal firm adopts IOS because of perceived institutional pressures [19, 100].”
InfluentialSelf-citationPerceived critical mass and the adoption of a communication technology
Slyke, C. V., Ilie, V., Lou, H., & Stafford, T. (2007) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000680 · Cited by 216
“The mimetic effect on technology adoption has been demonstrated empirically (Teo et al ., 2003).”
BackgroundDubey, R., Gunasekaran, A., Childe, S. J., Παπαδόπουλος, Θ., Hazen, B. T., Giannakis, M., & Roubaud, D. (2017) · International Journal of Production Economics · doi:10.1016/j.ijpe.2017.06.029 · Cited by 228
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Cheng, J. (2010) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2010.09.004 · Cited by 215
Technology Innovation Management Review
McPhee, C., & Bailetti, T. (2012) · Cited by 208
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Grover, V., & Saeed, K. A. (2007) · Journal of Management Information Systems · doi:10.2753/mis0742-1222230409 · Cited by 205
Impacts of Isomorphic Pressures on BIM Adoption in Construction Projects
Cao, D., Li, H., & Wang, G. (2014) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0000903 · Cited by 211
“These norms and expectations can be diffused and strengthened within the professional fields through information exchange activities such as formal education, association participation, conference communication, and professional consultation (DiMaggio and Powell 1983; Teo et al. 2003).”
BackgroundGerow, J. E., Thatcher, J. B., & Grover, V. (2014) · European Journal of Information Systems · doi:10.1057/ejis.2014.6 · Cited by 195
Aguiar, A. S., & Reis, A. (2008) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2007.912806 · Cited by 196
“Within the topic of technology adoption, there is a model available to predict firms’ intention to adopt financial electronic data interchange (FEDI) systems using institutional theory as a lens to understand the factors that explain their adoption [1].”
BackgroundMethodChae, B., Yen, H. R., & Sheu, C. (2005) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2005.856570 · Cited by 198
“Overall, our study indicates that without necessary interorganizational characteristics or formative contexts, the institutionalized adoption of IT [53] does not lead to interorganizational collaboration.”
BackgroundChoi, D., Chung, C. Y., Seyha, T., & Young, J. (2020) · Sustainability · doi:10.3390/su12218882 · Cited by 220
Chen, H.-J. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.07.005 · Cited by 206
Predicting the organisational adoption of B2C e‐commerce: an empirical study
To, M. L., & Ngai, E. W. T. (2006) · Industrial Management & Data Systems · doi:10.1108/02635570610710791 · Cited by 199
“Innovation research has investigated factors affecting the adoption of innovations from a variety of standpoints including network factors ( Teo et al. , 2003”
BackgroundA Field Study of RFID Deployment and Return Expectations
Whitaker, J., Mithas, S., & Krishnan, M. S. (2007) · Production and Operations Management · doi:10.1111/j.1937-5956.2007.tb00283.x · Cited by 81
A paradoxical perspective on technology renewal in digital transformation
Wimelius, H., Mathiassen, L., Holmström, J., & Keil, M. (2020) · Information Systems Journal · doi:10.1111/isj.12307 · Cited by 219
“Research on implementing complex technologies demonstrates that external pressures can also shape agendas and motives for technological change (Liang et al., 2007; Teo, Wei, & Benbasat, 2003).”
BackgroundCoercive, Normative and Mimetic Pressures as Drivers of Environmental Management Accounting Adoption
Latif, B., Mahmood, Z., Ong, T. S., Said, R. M., & Bakhsh, A. (2020) · Sustainability · doi:10.3390/su12114506 · Cited by 222
“Companies can be affected detrimentally if they ignore these changes [33].”
BackgroundInfluentialThe iron cage exposed: Institutional pressures and heterogeneity across the healthcare supply chain
Bhakoo, V., & Choi, T. Y. (2013) · Journal of Operations Management · doi:10.1016/j.jom.2013.07.016 · Cited by 187
Ho, J. L. Y., Wu, A., & Xu, S. X. (2010) · Strategic Management Journal · doi:10.1002/smj.886 · Cited by 191
“Research on Singapore suggests that firms imitate competitors in IT adoption to avoid being considered as technologically less advanced (Teo, Wei, and Benbasat, 2003).”
BackgroundEssence of digital transformation—Manifestations at large financial institutions from North America
Pramanik, H. S., Kirtania, M., & Pani, A. K. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2018.12.003 · Cited by 184
Examining the Impact of Multicollinearity in Discovering Higher-Order Factor Models
Schwarz, C., Schwarz, A., & Black, W. C. (2014) · Communications of the Association for Information Systems · doi:10.17705/1cais.03462 · Cited by 183
Effects of Relational Factors and Channel Climate on EDI Usage in the Customer-Supplier Relationship
Son, J.-Y., Narasimhan, S., & Riggins, F. J. (2005) · Journal of Management Information Systems · doi:10.1080/07421222.2003.11045839 · Cited by 182
“O VER THE PAST DECADES , FIRMS HAVE USED interorganizational systems (IOS), such as electronic data interchange (EDI), to develop more cooperative and long-lasting relationships with their trading partners at adjacent stages in the value chain [33, 77, 81].”
BackgroundThe Value of Social Media for Small Businesses
Schaupp, L. C., & Bélanger, F. (2013) · Journal of Information Systems · doi:10.2308/isys-50674 · Cited by 182
Yang, C.-S. (2017) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2017.07.005 · Cited by 188
Chatbot Adoption in Tourism Services: A Conceptual Exploration
Ukpabi, D. C., Aslam, B., & Karjaluoto, H. (2019) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-78756-687-320191006 · Cited by 195
Wang, P., & Swanson, E. B. (2007) · Information and Organization · doi:10.1016/j.infoandorg.2007.02.001 · Cited by 179
“Some of these factors have proved to be highly predictive for innovation adoption and outcomes (e.g., Christiaanse & Huigen, 1997; Teo, Wei, & Benbasat, 2003 ).”
BackgroundWhy aren’t organizations adopting virtual worlds?
Yoon, T. E., & George, J. F. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.12.003 · Cited by 192
“0 M3, as the PLS approach can handle formative constructs (Teo et al., 2003).”
BackgroundMethodInfluentialNilashi, M., Ahmadi, H., Ahani, A., Ravangard, R., & Ibrahim, O. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.07.008 · Cited by 188
The blockchain-based Halal traceability systems: a hype or reality?
Hew, J.-J., Wong, L., Tan, G. W., Ooi, K., & Lin, B. (2020) · Supply Chain Management An International Journal · doi:10.1108/scm-01-2020-0044 · Cited by 210
Ahmadi, H., Nilashi, M., Shahmoradi, L., & Ibrahim, O. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.10.023 · Cited by 189
Metadata
- Authors
- Teo, H. H., Wei, K. K., & Benbasat, I.
- Affiliations
- National University of Singapore (SG)
- University of British Columbia (CA)
- ORCID
- Wei, K. K.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2003-03-01
- Volume
- 27
- Issue
- 1
- Pages
- 19-49
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2097700858
- Semantic Scholar
- e759bed5046982ab9e6812e74606ead3df042c38
- Cited by
- 1,639
- References
- 85
- Citations by year
- 2026: 40 · 2025: 53 · 2024: 47 · 2023: 77 · 2022: 74 · 2021: 67 · 2020: 65 · 2019: 68 · 2018: 85 · 2017: 81 · 2016: 78 · 2015: 97 · 2014: 106 · 2013: 93 · 2012: 111
- FWCI
- 81.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- MIS Quarterly (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Keywords
- interorganizational systems, technology adoption intention, institutional theory, mimetic pressure, coercive pressure, normative pressure, information technology adoption, institutional pressures, organizational embeddedness
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