Predicting Intention to Adopt Interorganizational Linkages: An Institutional Perspective1

Teo, H. H.; Wei, K. K.; Benbasat, I.

doi:10.2307/30036518

Cited by 1,639Technology Adoption and User BehaviourERP Systems Implementation and ImpactInformation Technology Governance and Strategy

Predicting Intention to Adopt Interorganizational Linkages: An Institutional Perspective1

Teo, H. H., Wei, K. K., Benbasat, I.·2003·MIS Quarterly

DOI 10.2307/30036518

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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.
“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

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“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).”
Method
Strategizing information systems-enabled organizational transformation: A transdisciplinary review and new directions
Besson, P., & Rowe, F. (2012) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2012.05.001 · Cited by 532 · see citing works
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 · see citing works
Migration to Open-Standard Interorganizational Systems: Network Effects, Switching Costs, and Path Dependency1
Zhu, K., Kraemer, K. L., Gurbaxani, V., & Xu, S. X. (2006) · MIS Quarterly · doi:10.2307/25148771 · Cited by 500 · see citing works
“…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).”
BackgroundInfluential
Information Technology Payoff in E-Business Environments: An International Perspective on Value Creation of E-Business in the Financial Services Industry
ZHU, K., KRAEMER, K. L., & DEDRICK, J. (2004) · Journal of Management Information Systems · doi:10.1080/07421222.2004.11045797 · Cited by 775 · see citing works
“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].”
Background
Information Technology Capability and Firm Performance: Contradictory Findings and Their Possible Causes1
Chae, H.-C., Koh, C. E., & Prybutok, V. R. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.1.14 · Cited by 461 · see citing works
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 · see citing works
Towards business intelligence systems success: Effects of maturity and culture on analytical decision making
Popovič, A., Hackney, R., Coelho, P. S., & Jaklič, J. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.08.017 · Cited by 491 · see citing works
“Second, PLS is more appropriate when a research model is in an early stage of development and has not been tested extensively [74].”
Background
Evaluating 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 443 · see citing works
“, institutional pressures [Liang et al., 2007; Teo et al., 2003], regulatory pressures and legal provisions [Porteous, 2006].”
Background
The 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 410 · see citing works
“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].”
Background
Leveraging IT Capabilities and Competitive Process Capabilities for the Management of Interorganizational Relationship Portfolios
Rai, A., & Tang, X. (2010) · Information Systems Research · doi:10.1287/isre.1100.0299 · Cited by 413 · see citing works
“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…”
Background
Corporate Ecological Responsiveness: Antecedent Effects of Institutional Pressure and Top Management Commitment and Their Impact on Organizational Performance
Colwell, S. R., & Joshi, A. W. (2011) · Business Strategy and the Environment · doi:10.1002/bse.732 · Cited by 383 · see citing works
Understanding the impact of social media usage among organizations
Tajudeen, F. P., Jaafar, N. I., & Ainin, S. (2017) · Information & Management · doi:10.1016/j.im.2017.08.004 · Cited by 390 · see citing works
“The findings were consistent with previous studies, which argued that institutional pressure is an important determinant of technology adoption [37,73,36].”
BackgroundResult
Conceptualizing 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 341 · see citing works
“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.”
Background
Service Delivery Innovation
Chen, J., Tsou, H., & Huang, A. Y.-H. (2009) · Journal of Service Research · doi:10.1177/1094670509338619 · Cited by 340 · see citing works
“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).”
Method
Organizational Buyers' Adoption and Use of B2B Electronic Marketplaces: Efficiency- and Legitimacy-Oriented Perspectives
Son, J.-Y., & Benbasat, I. (2007) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240102 · Cited by 341 · see citing works
“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…”
BackgroundMethodResultInfluentialSelf-citation
Conceptualising a digital orientation: antecedents of supporting SME performance in the digital economy
Quinton, S., Canhoto, A. I., Molinillo, S., Pera, R., & Budhathoki, T. (2017) · Journal of Strategic Marketing · doi:10.1080/0965254x.2016.1258004 · Cited by 360 · see citing works
Information Technology Governance in Information Technology Investment Decision Processes: The Impact of Investment Characteristics, External Environment, and Internal Context1
Xue, Liang, H., & Boulton, W. R. (2008) · MIS Quarterly · doi:10.2307/25148829 · Cited by 314 · see citing works
“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.”
Background
Understanding 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 · see citing works
“Prior studies have used this theory to explain IT adoption (e.g., [5, 42, 47]).”
Method
Organizational size and IT innovation adoption: A meta-analysis
Lee, G., & Xia, W. (2006) · Information & Management · doi:10.1016/j.im.2006.09.003 · Cited by 305 · see citing works
“[69] Financial EDI Mixed Mixed FP ADPT FIRM P 222 0.”
Background
Positioning 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 · see citing works
“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).”
BackgroundMethodInfluential
Chasing the Hottest IT: Effects of Information Technology Fashion on Organizations1
Wang, P. (2010) · MIS Quarterly · doi:10.2307/20721415 · Cited by 300 · see citing works
“Of course they are concerned with organizational performance, but they are also embedded in institutional networks (Teo et al. 2003) and they strive for social approval by internal and external stakeholders.”
Background
Examining sustainable supply chain management of SMEs using resource based view and institutional theory
Shibin, 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 320 · see citing works
Blockchain technology in the supply chain: An integrated theoretical perspective of organizational adoption
Agi, M. A. N., & Jha, A. K. (2022) · International Journal of Production Economics · doi:10.1016/j.ijpe.2022.108458 · Cited by 291 · see citing works
Where To Go From Here? Thoughts on Future Directions for Research on Individual‐Level Technology Adoption with a Focus on Decision Making*
Venkatesh, V. (2006) · Decision Sciences · doi:10.1111/j.1540-5414.2006.00136.x · Cited by 282 · see citing works
“…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).”
Effect of social commerce factors on user purchase behavior: An empirical investigation from renren.com
Bai, Y., Yao, Z., & Dou, Y. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2015.04.011 · Cited by 286 · see citing works
Plant information systems, manufacturing capabilities, and plant performance
Banker, R. D., Bardhan, I. R., Chang, H., & Lin, S. (2006) · Journal of the Association for Information Systems · doi:10.5555/2017307.2017314 · Cited by 277 · see citing works
Factors Affecting the Organizational Adoption of Blockchain Technology: Extending the Technology–Organization–Environment (TOE) Framework in the Australian Context
Malik, S., Chadhar, M., Vatanasakdakul, S., & Chetty, M. (2021) · Sustainability · doi:10.3390/su13169404 · Cited by 319 · see citing works
“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”
Co-production and its effects on service innovation
Chen, J., Tsou, H., & Ching, R. K. H. (2011) · Industrial Marketing Management · doi:10.1016/j.indmarman.2011.03.001 · Cited by 273 · see citing works
Implications of the fit between organizational structure and ERP: A structural contingency theory perspective
Morton, N. A., & Hu, Q. (2008) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2008.01.008 · Cited by 271 · see citing works
The integration of value-based adoption and expectation–confirmation models: An example of IPTV continuance intention
Lin, T., Wu, S. Y., Hsu, J. S., & Chou, Y.-C. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.04.004 · Cited by 270 · see citing works
“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].”
Method
Adoption and Impacts of Interorganizational Business Process Standards: Role of Partnering Synergy
Venkatesh, V., & Bala, H. (2012) · Information Systems Research · doi:10.1287/isre.1110.0404 · Cited by 264 · see citing works
“We measured normative, mimetic, and coercive pressures using items adapted from Teo et al. (2003).”
BackgroundMethodInfluential
New State of Play in Information Systems Research: The Push to the Edges1
Grover, V., & Lyytinen, K. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.2.01 · Cited by 253 · see citing works
“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.”
Background
Adoption 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 · see citing works
Theoretical Foundations of Empirical Research on Interorganizational Systems: Assessing Past Contributions and Guiding Future Directions
Robey, D., Im, G. P., Wareham, J. D., & ESADE (2008) · Journal of the Association for Information Systems · doi:10.17705/1jais.00171 · Cited by 259 · see citing works
Plant Information Systems, Manufacturing Capabilities, and Plant Performance
Banker, R., Bardhan, I., Chang, H.-H., & Lin, S.-P. (2006) · MIS Q. · doi:10.2307/25148733 · Cited by 407 · see citing works
“…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.”
BackgroundInfluential
Operationalizing Multidimensional Constructs in Structural Equation Modeling: Recommendations for IS Research
Wright, 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 · see citing works
Cloud Computing in Support of Supply Chain Information System Infrastructure: Understanding When to go to the Cloud
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 · see citing works
The role of external and internal influences on information systems security – a neo-institutional perspective
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 · see citing works
“In a more recent study, Liang et al. (2007) extended the institutional model of Teo et al. (2003) by examining the mediating role of top management between the institutional forces and enterprise system assimilation in organizations.”
Background
The Effects of Competitive Environment on Supply Chain Information Sharing and Performance: An Empirical Study in China
Huo, B., Zhao, X., & Zhou, H. (2013) · Production and Operations Management · doi:10.1111/poms.12044 · Cited by 247 · see citing works
“Chwelos et al. (2001) and Teo et al. (2003) found competitive pressure to be a significant predictor of the intent to adopt EDI.”
Background
The comprehensiveness of environmental management systems: The influence of institutional pressures and the impact on environmental performance
Phan, T. N., & Baird, K. M. (2015) · Journal of Environmental Management · doi:10.1016/j.jenvman.2015.06.006 · Cited by 247 · see citing works
Assimilation of Interorganizational Business Process Standards
Bala, H., & Venkatesh, V. (2007) · Information Systems Research · doi:10.1287/isre.1070.0134 · Cited by 247 · see citing works
“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).”
BackgroundResultInfluential
An Exploration of Organizational Level Information Systems Discontinuance Intentions1
Furneaux, B., & Wade (2011) · MIS Quarterly · doi:10.2307/23042797 · Cited by 245 · see citing works
“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).”
Background
Factors affecting the adoption of B2B e-commerce technologies
Sila, I. (2013) · Electronic Commerce Research · doi:10.1007/s10660-013-9110-7 · Cited by 251 · see citing works
“Teo et al. [97] posited that institutional pressures also affect the adoption of supply chain linkages.”
BackgroundMethod
How institutional pressures and managerial incentives elicit carbon transparency in global supply chains
Villena, V. H., & Dhanorkar, S. (2020) · Journal of Operations Management · doi:10.1002/joom.1088 · Cited by 253 · see citing works
Better knowledge with social media? Exploring the roles of social capital and organizational knowledge management
Bharati, P., Zhang, W., & Chaudhury, A. (2015) · Journal of Knowledge Management · doi:10.1108/jkm-11-2014-0467 · Cited by 249 · see citing works
“Leana and Pil(2006) Teo et al. (2003) COG2 Competitors who are important to us think that new technologies are useful.”
Influential
Adoption 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 · see citing works
“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.”
Background
Social 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 264 · see citing works
Migrating to internet-based e-commerce: Factors affecting e-commerce adoption and migration at the firm level
Hong, W., & Zhu, K. (2006) · Information & Management · doi:10.1016/j.im.2005.06.003 · Cited by 390 · see citing works
“Researchers and managers are struggling to determine the right conditions for adopting e-commerce, and what factors facilitate or inhibit them in migrating to the internet from traditional physical channels [40].”
Background
A socio-technical approach to knowledge contribution behavior: An empirical investigation of social networking sites users
Chai, S., & Kim, M. (2011) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2011.07.004 · Cited by 228 · see citing works
An investigation of resource-based and institutional theoretic factors in technology adoption for operations and supply chain management
Zhang, C., & Dhaliwal, J. (2008) · International Journal of Production Economics · doi:10.1016/j.ijpe.2008.07.023 · Cited by 229 · see citing works
“Firms with greater market power may put coercive pressure on dependent partners to adopt technological innovations (Hart and Saunders, 1998; Teo et al., 2003).”
BackgroundInfluential
How do mediated and non-mediated power affect electronic supply chain management system adoption? The mediating effects of trust and institutional pressures
Ke, W., Liu, H., Wei, K., Gu, J., & Chen, H. (2008) · Decision Support Systems · doi:10.1016/j.dss.2008.11.008 · Cited by 216 · see citing works
“However, according to institutional theory, the focal firm adopts IOS because of perceived institutional pressures [19, 100].”
InfluentialSelf-citation
Perceived 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 · see citing works
“The mimetic effect on technology adoption has been demonstrated empirically (Teo et al ., 2003).”
Background
Examining the effect of external pressures and organizational culture on shaping performance measurement systems (PMS) for sustainability benchmarking: Some empirical findings
Dubey, 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 219 · see citing works
Understanding customer experiences in online blog environments
Hsu, H.-Y., & Tsou, H. (2011) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2011.05.003 · Cited by 216 · see citing works
Technological, Organizational, and Environmental Antecedents to Web Services Adoption
Lippert, S. K., & Govindarajulu, C. (2015) · Communications of the IIMA · doi:10.58729/1941-6687.1303 · Cited by 216 · see citing works
Organizational intention to adopt big data in the B2B context: An integrated view
Sun, S., Hall, D. J., & Cegielski, C. G. (2020) · Industrial Marketing Management · doi:10.1016/j.indmarman.2019.09.003 · Cited by 212 · see citing works
Institutional pressure, knowledge acquisition and a firm's environmental innovation
Liao, Z. (2018) · Business Strategy and the Environment · doi:10.1002/bse.2036 · Cited by 214 · see citing works
Inter-organizational relationships and information sharing in supply chains
Cheng, J. (2010) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2010.09.004 · Cited by 215 · see citing works
Technology Innovation Management Review
McPhee, C., & Bailetti, T. (2012) · Cited by 208 · see citing works
E-banking users’ behaviour: e-service quality, attitude, and customer satisfaction
Ayo, C. K., Oni, A. A., Adewoye, O. J., & Eweoya, I. O. (2016) · International Journal of Bank Marketing · doi:10.1108/ijbm-12-2014-0175 · Cited by 206 · see citing works
The Impact of Product, Market, and Relationship Characteristics on Interorganizational System Integration in Manufacturer-Supplier Dyads
Grover, V., & Saeed, K. A. (2007) · Journal of Management Information Systems · doi:10.2753/mis0742-1222230409 · Cited by 205 · see citing works
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 204 · see citing works
“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).”
Background
Six types of IT-business strategic alignment: an investigation of the constructs and their measurement
Gerow, J. E., Thatcher, J. B., & Grover, V. (2014) · European Journal of Information Systems · doi:10.1057/ejis.2014.6 · Cited by 197 · see citing works
Why Do Firms Adopt E-Procurement Systems? Using Logistic Regression to Empirically Test a Conceptual Model
Aguiar, A. S., & Reis, A. (2008) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2007.912806 · Cited by 196 · see citing works
“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].”
BackgroundMethod
Information Technology and Supply Chain Collaboration: Moderating Effects of Existing Relationships Between Partners
Chae, B., Yen, H. R., & Sheu, C. (2005) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2005.856570 · Cited by 196 · see citing works
“Overall, our study indicates that without necessary interorganizational characteristics or formative contexts, the institutionalized adoption of IT [53] does not lead to interorganizational collaboration.”
Background
Factors Affecting Organizations’ Resistance to the Adoption of Blockchain Technology in Supply Networks
Choi, D., Chung, C. Y., Seyha, T., & Young, J. (2020) · Sustainability · doi:10.3390/su12218882 · Cited by 220 · see citing works
Linking employees’ e-learning system use to their overall job outcomes: An empirical study based on the IS success model
Chen, H.-J. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.07.005 · Cited by 194 · see citing works
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 · see citing works
“Innovation research has investigated factors affecting the adoption of innovations from a variety of standpoints including network factors ( Teo et al. , 2003”
Background
A 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 · see citing works
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 198 · see citing works
“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).”
Background
Coercive, 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 · see citing works
“Companies can be affected detrimentally if they ignore these changes [33].”
BackgroundInfluential
The 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 · see citing works
Corporate Governance and returns on information technology investment: evidence from an emerging market
Ho, J. L. Y., Wu, A., & Xu, S. X. (2010) · Strategic Management Journal · doi:10.1002/smj.886 · Cited by 191 · see citing works
“Research on Singapore suggests that firms imitate competitors in IT adoption to avoid being considered as technologically less advanced (Teo, Wei, and Benbasat, 2003).”
Background
Essence 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 · see citing works
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 · see citing works
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 · see citing works
“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].”
Background
The 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 · see citing works
An analysis of institutional pressures, green supply chain management, and green performance in the container shipping context
Yang, C.-S. (2017) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2017.07.005 · Cited by 188 · see citing works
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 · see citing works
Launching professional services automation: Institutional entrepreneurship for information technology innovations
Wang, P., & Swanson, E. B. (2007) · Information and Organization · doi:10.1016/j.infoandorg.2007.02.001 · Cited by 179 · see citing works
“Some of these factors have proved to be highly predictive for innovation adoption and outcomes (e.g., Christiaanse & Huigen, 1997; Teo, Wei, & Benbasat, 2003 ).”
Background
Why 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 181 · see citing works
“0 M3, as the PLS approach can handle formative constructs (Teo et al., 2003).”
BackgroundMethodInfluential
Determining the importance of Hospital Information System adoption factors using Fuzzy Analytic Network Process (ANP)
Nilashi, 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 176 · see citing works
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 200 · see citing works
Hospital Information System adoption: Expert perspectives on an adoption framework for Malaysian public hospitals
Ahmadi, H., Nilashi, M., Shahmoradi, L., & Ibrahim, O. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.10.023 · Cited by 178 · see citing works

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
DOI: 10.2307/30036518
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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Predicting Intention to Adopt Interorganizational Linkages: An Institutional Perspective1

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