The DOI matches its Crossref record; 87 of the 87 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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
Flagged first, then by citations
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
Cited by
Sorted by citations
Items 201–300 of 1,001
Messerschmidt, C. M., & Hinz, O. F. (2012) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2012.10.005 · Cited by 98
Mithas, S., Jones, J. L., & Mitchell, W. (2008) · MIS Quarterly · doi:10.2307/25148868 · Cited by 90
Nanyang Technological University, Chandra, S., Srivastava, S., HEC School of Management, P., Theng, Y.-L., & Nanyang Technological University (2012) · Journal of the Association for Information Systems · doi:10.17705/1jais.00310 · Cited by 90
Jiao, H., Yang, J., & Cui, Y. H. (2021) · Journal of Knowledge Management · doi:10.1108/jkm-01-2021-0046 · Cited by 102
Antecedents and Impacts of Enterprise Resource Planning System Adoption among Jordanian SMEs
Lutfi, A., Alshira’h, A. F., Alshirah, M. H., Al‐Okaily, M., Alqudah, H. M., Saad, M., Ibrahim, N. M. E. S., & Fathelbab, O. E. A. (2022) · Sustainability · doi:10.3390/su14063508 · Cited by 116
Data exchange in interorganizational relationships
Elgarah, W., Falaleeva, N., Saunders, C. C., Ilie, V., Shim, J. T., & Courtney, J. F. (2005) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/1047070.1047073 · Cited by 94
Measuring institutional pressures in a supply chain context: scale development and testing
Kauppi, K., & Luzzini, D. (2021) · Supply Chain Management An International Journal · doi:10.1108/scm-04-2021-0169 · Cited by 102
Li, F., & Ding, D. Z. (2013) · Asia Pacific Business Review · doi:10.1080/13602381.2013.807602 · Cited by 90
Determinants of customers' intentions to use hedonic networks: The case of Instagram
Bahri-Ammari, N., Hadhri, W., & Mezrani, M. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.09.001 · Cited by 101
An examination of the trade-off between internal and external IT capabilities
Nevo, S., Wade, M. R., & Cook, W. D. (2006) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2006.10.002 · Cited by 88
Adopting organizational virtualization in B2B firms: An empirical study in Singapore
Liu, C., Sia, C. L., & Wei, K. (2008) · Information & Management · doi:10.1016/j.im.2008.06.005 · Cited by 87
Self-citationMapping digital innovation: A bibliometric analysis and systematic literature review
Cheng, C., Wang, L., Xie, H.-M., & Yan, L. (2023) · Technological forecasting & social change · doi:10.1016/j.techfore.2023.122706 · Cited by 78
Perspectives sur le phénomène de la transformation organisationnelle
Besson, P., & Rowe, F. (2014) · Systèmes d information & management · doi:10.3917/sim.111.0003 · Cited by 84
Gengatharen, D. E., & Standing, C. (2005) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000551 · Cited by 129
Building Legitimacy for IT Innovations: The Case of Computerized Physician Order Entry Systems
Kaganer, E. A., Pawlowski, S. D., & Wiley-Patton, S. (2010) · Journal of the Association for Information Systems · doi:10.17705/1jais.00219 · Cited by 82
A study of the institutional forces influencing the adoption intention of RFID by suppliers
Tsai, M., Lai, K., & Hsu, W.-C. (2012) · Information & Management · doi:10.1016/j.im.2012.05.006 · Cited by 92
Yang, Z., Kankanhalli, A., Ng, B.-Y., & Lim, J. T. Y. (2013) · Decision Support Systems · doi:10.1016/j.dss.2013.03.002 · Cited by 82
Business analytics adoption process: An innovation diffusion perspective
Nam, D., Lee, J., & Lee, H. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.07.017 · Cited by 115
Bruque, S., Moyano‐Fuentes, J., & Piccolo, R. F. (2015) · The International Journal of Human Resource Management · doi:10.1080/09585192.2015.1020441 · Cited by 87
Williams, Z., Lueg, J. E., Taylor, R. D., et al. (2009) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/09600030910996279 · Cited by 80
Healthcare IT Adoption: An Analysis of Knowledge Transfer in Socioeconomic Networks
Peng, G., Dey, D., & Lahiri, A. (2014) · Journal of Management Information Systems · doi:10.1080/07421222.2014.994672 · Cited by 81
THE ADOPTION OF E-LEARNING: AN INSTITUTIONAL THEORY PERSPECTIVE
Jan, P.-T., Lu, H., & Chou, T. (2012) · The Turkish Online Journal of Educational Technology · Cited by 80
E-business and fast growth SMEs
Bi, R., Davison, R. M., & Smyrnios, K. X. (2016) · Small Business Economics · doi:10.1007/s11187-016-9788-8 · Cited by 80
Salge, T. O., Kohli, R., & Barrett, M. I. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.1.04 · Cited by 84
Diffusion of ICT and SME Performance
Azam, M. S. (2015) · Emerald Group Publishing Limited eBooks · doi:10.1108/s1069-096420150000023005 · Cited by 100
Pathways towards Green Banking adoption: moderating role of top management commitment
Bukhari, S. A. A., Hashim, F., & Amran, A. (2021) · International Journal of Ethics and Systems · doi:10.1108/ijoes-05-2021-0110 · Cited by 78
Lin, J., Luo, Z., & Luo, X. R. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.10.010 · Cited by 78
An analytical framework for an m-payment ecosystem: A merchants׳ perspective
Guo, J., & Bouwman, H. (2015) · Telecommunications Policy · doi:10.1016/j.telpol.2015.09.008 · Cited by 83
Implementing Service-Oriented Architecture in Organizations
Choi, J. H., Nazareth, D. L., & Jain, H. K. (2010) · Journal of Management Information Systems · doi:10.2753/mis0742-1222260409 · Cited by 76
Wang, S., Zheng, S., Xu, L., De-zheng, L., & Meng, H. (2008) · Information Systems Frontiers · doi:10.1007/s10796-008-9115-2 · Cited by 78
Tsou, H., Chen, J., & Liao, W.-H. (2014) · Journal of Business and Industrial Marketing · doi:10.1108/jbim-09-2011-0128 · Cited by 76
Lutfi, A., Idris, K. M., & Mohamad, R. (2016) · International Journal of Economics and Financial Issues · Cited by 74
Sodero, A. C., Rabinovich, E., & Sinha, R. K. (2013) · Journal of Operations Management · doi:10.1016/j.jom.2013.07.008 · Cited by 75
Feng, Y., & Ye, H. J. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.007 · Cited by 78
Mandated RFID and Institutional Responses: Cases of Decentralized Business Units
Barratt, M., & Choi, T. Y. (2007) · Production and Operations Management · doi:10.1111/j.1937-5956.2007.tb00281.x · Cited by 74
Palmié, M., Hürzeler, P., Grichnik, D., Keupp, M. M., & Gassmann, O. (2018) · Strategic Entrepreneurship Journal · doi:10.1002/sej.1305 · Cited by 73
Al-Sharafi, M. A., Al‐Emran, M., Arpacı, İ., Marques, G., Namoun, A., & Iahad, N. A. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2084036 · Cited by 73
The impact of 3D e-readiness on e-banking development in Iran: A fuzzy AHP analysis
Haghighi, M. K., Divandari, A., & Keimasi, M. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2009.11.024 · Cited by 72
Factors affecting the organizational adoption of service-oriented architecture (SOA)
MacLennan, E., & Belle, J.-P. V. (2013) · Information Systems and e-Business Management · doi:10.1007/s10257-012-0212-x · Cited by 74
Somsuk, N., & Laosirihongthong, T. (2016) · International Journal of Sustainable Development & World Ecology · doi:10.1080/13504509.2016.1187210 · Cited by 73
Teo, H., Wang, X., Wei, K., Sia, C. L., & Lee, M. (2005) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20275 · Cited by 78
Self-citationToward a contagion-based model of mobile banking adoption
Chaouali, W., & Hedhli, K. E. (2018) · International Journal of Bank Marketing · doi:10.1108/ijbm-05-2017-0096 · Cited by 72
Interorganizational System Standards Development in Vertical Industries
Nelson, M., Shaw, M. J., & Qualls, W. J. (2005) · Electronic Markets · doi:10.1080/10196780500303045 · Cited by 72
Effect of u-healthcare service quality on usage intention in a healthcare service
Jang, S.-H., Kim, R. H., & Lee, C. W. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.07.030 · Cited by 72
Hwang, K., & Choi, M. (2017) · Government Information Quarterly · doi:10.1016/j.giq.2017.02.001 · Cited by 85
Institutionalization and the Effectiveness of Enterprise Architecture Management
Weiss, S., Aier, S., & Winter, R. (2013) · Alexandria (UniSG) (University of St.Gallen) · Cited by 72
Patterns of B2B e‐commerce usage in SMEs
Sila, I., & Dobni, D. M. (2012) · Industrial Management & Data Systems · doi:10.1108/02635571211264654 · Cited by 71
Lawson‐Body, A., & Limayem, M. (2006) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2004.tb00295.x · Cited by 72
Determining Key Factors in E-Government Information System Security
Smith, S., & Jamieson, R. (2006) · Information Systems Management · doi:10.1201/1078.10580530/45925.23.2.20060301/92671.4 · Cited by 70
Sharma, A., Citurs, A., & Konsynski, B. R. (2007) · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.1109/hicss.2007.502 · Cited by 70
Zhenbin, Y., Kankanhalli, A., Ha, S., & Tayi, G. K. (2019) · Information & Management · doi:10.1016/j.im.2019.103179 · Cited by 74
What facilitates e-government development? A cross-country analysis
Srivastava, S. C., & Teo, T. S. H. (2007) · Electronic Government an International Journal · doi:10.1504/eg.2007.015034 · Cited by 69
Cooperation in the supply chain and lean production adoption
Moyano‐Fuentes, J., Dı́az, M. S., & Martínez‐Jurado, P. J. (2012) · International Journal of Operations & Production Management · doi:10.1108/01443571211265701 · Cited by 68
Baptista, J., Newell, S., & Currie, W. L. (2010) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2010.07.001 · Cited by 68
Ugrin, J. C. (2009) · Accounting Horizons · doi:10.2308/acch.2009.23.4.365 · Cited by 68
Institutional and Individual Influences on Scientists' Data Sharing Practices
Kim, Y., & Stanton, J. M. (2012) · The Journal of Computational Science Education · doi:10.22369/issn.2153-4136/3/1/6 · Cited by 66
Elazhary, M., Popovič, A., Bermejo, P. H. D. S., & Oliveira, T. (2022) · Information Systems Management · doi:10.1080/10580530.2022.2055813 · Cited by 79
Governance of Interorganizational Information Systems: A Resource Dependence Perspective
Chatterjee, D., & Ravichandran, T. (2012) · Information Systems Research · doi:10.1287/isre.1120.0432 · Cited by 71
AlHinai, Y. S. (2020) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2020.101851 · Cited by 76
Social Media in Union Communications: An International Study with UNI G lobal U nion Affiliates
Panagiotopoulos, P., & Barnett, J. C. (2014) · British Journal of Industrial Relations · doi:10.1111/bjir.12060 · Cited by 66
wrong, A. I., & Bueno, S. (2005) · European Journal of Operational Research · doi:10.1016/j.ejor.2005.07.002 · Cited by 66
Kung, L., Cegielski, C. G., & Kung, H. (2015) · Journal of Information Technology · doi:10.1057/jit.2015.14 · Cited by 67
Lloret, N. N. E., Aragón-Sánchez, A., & Hernández, A. J. C. (2016) · The International Journal of Human Resource Management · doi:10.1080/09585192.2016.1256337 · Cited by 66
Dong, M. C., Fang, Y., & Straub, D. W. (2017) · Information Systems Research · doi:10.1287/isre.2016.0675 · Cited by 67
How Do EHRs and a Meaningful Use Initiative Affect Breaches of Patient Information?
Kim, S. H., & Kwon, J. (2019) · Information Systems Research · doi:10.1287/isre.2019.0858 · Cited by 71
IT infrastructure capabilities and IT project success: a development team perspective
Xu, X., Zhang, W., & Barkhi, R. (2010) · Inf. Technol. Manag. · doi:10.1007/s10799-010-0072-3 · Cited by 69
Sustainable supply chain in food industries: Drivers and strategic sustainability orientation
Emamisaleh, K., & Rahmani, K. (2017) · Cogent Business & Management · doi:10.1080/23311975.2017.1345296 · Cited by 65
Rao, S., Gulley, A., Russell, M., & Patton, J. (2021) · Journal of Business Logistics · doi:10.1111/jbl.12272 · Cited by 65
Marett, K., Otondo, R. F., & Taylor, G. S. (2013) · MIS Quarterly · doi:10.25300/misq/2013/37.4.14 · Cited by 64
LEE, S., LEE, S., & PARK, Y. (2006) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.06.005 · Cited by 63
Institutional drivers of conformity – Evidence for management accounting from Brazil and Germany
Brandau, M., Endenich, C., Trapp, R., & Hoffjan, A. H. (2012) · International Business Review · doi:10.1016/j.ibusrev.2012.07.001 · Cited by 65
An Innovation Adoption Study of Online E-Payment in Chinese Companies
He, Q., Duan, Y., Fu, Z., & Li, Z. (2006) · Journal of Electronic Commerce in Organizations · doi:10.4018/jeco.2006010104 · Cited by 64
Cloud computing adoption in Ghana; accounting for institutional factors
Adjei, J. K., Adams, S., & Mamattah, L. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101583 · Cited by 70
Bozan, K., Parker, K. R., & Davey, B. (2016) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2016.391 · Cited by 71
Information system security commitment: A study of external influences on senior management
Barton, K. A., Tejay, G. P. S., Lane, M., & Terrell, S. (2016) · Computers & Security · doi:10.1016/j.cose.2016.02.007 · Cited by 64
E-Learning Implementation in South Korea: Integrating Effectiveness and Legitimacy Perspectives
Teo, T. S. H., Kim, S. L., & Jiang, L. (2018) · Information Systems Frontiers · doi:10.1007/s10796-018-9874-3 · Cited by 67
Ahmad, S., Miskon, S., Alkanhal, T. A., & Tlili, I. (2020) · Applied Sciences · doi:10.3390/app10093208 · Cited by 62
Lin, J., Luo, Z., Benitez, J., Luo, X. R., & Popovič, A. (2021) · Decision Support Systems · doi:10.1016/j.dss.2021.113628 · Cited by 65
Tiwari, A. K., Marak, Z. R., Paul, J., & Deshpande, A. P. (2023) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2023.100366 · Cited by 100
Liu, H., Huang, Q., Wei, S., & Huang, L. (2015) · The International Journal of Logistics Management · doi:10.1108/ijlm-11-2013-0132 · Cited by 60
Understanding the Determinants of Big Data Analytics Adoption
Verma, S., & Chaurasia, S. S. (2019) · Information Resources Management Journal · doi:10.4018/irmj.2019070101 · Cited by 62
Kropp, E., & Totzek, D. (2020) · Industrial Marketing Management · doi:10.1016/j.indmarman.2020.10.008 · Cited by 61
Electronic health records adoption: Do institutional pressures and organizational culture matter?
Chu, J., Arkorful, V. E., & Zhao, S. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101531 · Cited by 60
Factors affecting institutional investors to add crypto-currency to asset portfolios
Sun, W., Dedahanov, A. T., Shin, H. Y., & Li, W. P. (2021) · The North American Journal of Economics and Finance · doi:10.1016/j.najef.2021.101499 · Cited by 62
Xiao, J., Han, L., & Zhang, H. (2022) · Sustainability · doi:10.3390/su142214980 · Cited by 79
On network externalities, e‐business adoption and information asymmetry
Lai, F., Wang, J. C., Hsieh, C., & Chen, V. (2007) · Industrial Management & Data Systems · doi:10.1108/02635570710750453 · Cited by 61
Ma, L., & Chang, R. (2024) · Management Decision · doi:10.1108/md-10-2023-1822 · Cited by 77
IMPACT OF BUSINESS INTELLIGENCE SYSTEMS MATURITY ON INFORMATION QUALITY
Popovič, A., Coelho, P. S., & Jaklič, J. (2009) · Repository of the University of Ljubljana (University of Ljubljana) · Cited by 58
Puklavec, B., Oliveira, T., & Popovič, A. (2014) · Economic and business review · doi:10.15458/2335-4216.1278 · Cited by 67
Nan, N., Zmud, R. W., & Yetgin, E. (2013) · Computational and Mathematical Organization Theory · doi:10.1007/s10588-013-9159-9 · Cited by 58
Determinants of knowledge seeking in professional virtual communities
Lai, H., Chen, C.-P., & Chang, Y.-F. (2013) · Behaviour and Information Technology · doi:10.1080/0144929x.2013.864709 · Cited by 59
Capitalizing on Health Information Technology to Enable Digital Advantage in U.S. Hospitals1
Karahanna, E., Chen, A., Liu, Q. B., & Serrano, C. I. (2019) · MIS Quarterly · doi:10.25300/misq/2019/12743 · Cited by 60
Evermann, J., & Rönkkö, M. (2023) · Communications of the Association for Information Systems · doi:10.17705/1cais.05229 · Cited by 60
Jalo, H., & Pirkkalainen, H. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2023.102731 · Cited by 76
The contingent role of dependency in predicting the intention to adopt B2B e-commerce
Alsaad, A. K., Mohamad, R., & Ismail, N. A. (2018) · Information Technology for Development · doi:10.1080/02681102.2018.1476830 · Cited by 61
Kim, Y. (2017) · Information Processing & Management · doi:10.1016/j.ipm.2017.03.003 · Cited by 56
“Lastly, the data shared can also be used to educate science trainees ( Vickers, 2006 ). Campbell et al. (2002) found that scientists believe that the free and open sharing of publication related information, data, and materials is a critical tool for educating their students.”
BackgroundSystematic impact of institutional pressures on safety climate in the construction industry
He, Q., Dong, S. S., Rose, T. M., Li, H., Yin, Q., & Cao, D. (2015) · Accident Analysis & Prevention · doi:10.1016/j.aap.2015.11.034 · Cited by 57
Ferreira, J. J., Fernandes, C., & Ratten, V. (2019) · The Journal of Technology Transfer · doi:10.1007/s10961-019-09730-3 · Cited by 56
Impulsive purchasing and luxury brand loyalty in WeChat Mini Program
Rao, Q., & Ko, E. (2021) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-08-2020-0621 · Cited by 60
Kumar, G., & Banerjee, R. N. (2012) · International Journal of Productivity and Performance Management · doi:10.1108/17410401211277147 · Cited by 55
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review