The DOI matches its Crossref record; 79 of the 81 references it cites were found in a registry or an index.
Trust in a specific technology: An investigation of its components and measures
Abstract
Trust plays an important role in many Information Systems (IS)-enabled situations. Most IS research employs trust as a measure of interpersonal or person-to-firm relations, such as trust in a Web vendor or a virtual team member. Although trust in other people is important, this article suggests that trust in the Information Technology (IT) itself also plays a role in shaping IT-related beliefs and behavior. To advance trust and technology research, this article presents a set of trust in technology construct definitions and measures. We also empirically examine these construct measures using tests of convergent, discriminant, and nomological validity. This study contributes to the literature by providing: (a) a framework that differentiates trust in technology from trust in people, (b) a theory-based set of definitions necessary for investigating different kinds of trust in technology, and (c) validated trust in technology measures useful to research and practice.
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In the citing paper
“Trustworthiness judgments in humans or technology have different characteristics, yet they both are premised on the same underlying contextual conditions: risk, uncertainty and lack of control (McKnight et al. 2011).”
From Explaining Why the Computer Says No: Algorithmic Transparency Affects the Perceived Trustworthiness of Automated Decision‐Making (2023) · cites this paper as McKnight et al. 2011
In the citing paper
“Trust in technology has previously been seen in the light of the technology's functionality, ability to provide help and operational reliability and the technology provider's integrity, benevolence and competence-including privacy aspects (McKnight et al., 2011;Prakash and Das, 2020;Ta et al., 2020).”
From My Chatbot Companion - a Study of Human-Chatbot Relationships (2021) · cites this paper as McKnight et al., 2011
In the citing paper
“In the canonical models of trust formation, such (Giddens, 1990; Mayer et al., 1995; McKnight et al., 2011; Misztal, 1996) trust is described to have a number of different components. First, trust depends on the personal characteristics of the trustor, such as their propensity to trust, something which I do not discuss in this article. Second, trust is a factor of the perceived or actual char”
From Mediated trust: A theoretical framework to address the trustworthiness of technological trust mediators (2021) · cites this paper as McKnight et al., 2011
In the citing paper
“Nevertheless, trust is a complex concept and is built upon human users’ interaction and consequent assessment of the system from cognitive, emotional, and social dimensions [91-93].”
From Generative AI in medical practice: in-depth exploration of privacy and security challenges (2024) · cites this paper as [93]
In the citing paper
“Individual differences of users (e.g., gender, culture, age, and personality) are closely related to the propensity for or tendency toward technology users may manifest or develop (Gefen et al., 2008; McKnight et al. 2011).”
From Why do users trust algorithms? A review and conceptualization of initial trust and trust over time (2022) · cites this paper as McKnight et al. 2011
In the citing paper
“Proposition 6b. The greater the reliability an algorithm demonstrates, the higher the probability of building trust in AI algorithms over time.”
From Why do users trust algorithms? A review and conceptualization of initial trust and trust over time (2022) · cites this paper as McKnight et al., 2011
In the citing paper
“One important factor for initial trust is the user's propensity to trust, which, being tacit, bestows a positive impact on this starting phase and tends to remain stable over time (McKnight et al. 2011).”
From Why do users trust algorithms? A review and conceptualization of initial trust and trust over time (2022) · cites this paper as McKnight et al. 2011
In the citing paper
“Specific trust in people and trust in technology not only differ in terms of the nature of the object of dependence but also on important trusting beliefs.”
From Trustworthy artificial intelligence (2021) · cites this paper as McKnight et al. 2011
In the citing paper
“Interpersonal trusting beliefs reflect judgments that the other party has suitable attributes and motives for performing as expected in a risky situation (Mayer et al. 1995), whereas technology-related trust necessarily reflects beliefs about a technology's characteristics rather than its motives (McKnight et al. 2011).”
From Trustworthy artificial intelligence (2021) · cites this paper as McKnight et al. 2011
In the citing paper
“Most IS research nowadays employs a dualistic perspective on trust (see Table 1).First, trust in a specific person or organization (a moral and volitional agent) (Lankton et al. 2015;McKnight et al. 2011), such as trust in an e-vendor (Gefen et al. 2003) or virtual team members (Robert et al. 2009).”
From Trustworthy artificial intelligence (2021) · cites this paper as McKnight et al. 2011
In the citing paper
“In contrast, individuals' trust in technology commonly concerns the technology's functionality (i.e., providing features needed to complete a task), its helpfulness (i.e., help functions will provide necessary advice), and its reliability (i.e., technology will consistently operate properly) (McKnight et al. 2011;Thatcher et al. 2010).”
From Trustworthy artificial intelligence (2021) · cites this paper as McKnight et al. 2011
In the citing paper
“Trust plays a particularly important role in almost any ISenabled situation in which either uncertainty prevails or undesirable outcomes are possible (McKnight et al. 2011).”
From Trustworthy artificial intelligence (2021) · cites this paper as McKnight et al. 2011
In the citing paper
“Specific trust in persons and technology can be further positioned in a nomological net of trust, comprising general trusting beliefs and institution-based trust as antecedents and trusting intentions as consequence of specific trust in persons or technology (McKnight et al. 2011;McKnight et al. 2002; see Fig. 1).”
From Trustworthy artificial intelligence (2021) · cites this paper as McKnight et al. 2011
In the citing paper
“The trust literature suggests a causal ordering among trust constructs, such that an individual's general trusting beliefs in people or technology directly influences institutionbased trust and indirectly shapes trust in a specific person or technology (McKnight et al. 2011;McKnight and Chervany 2001).”
From Trustworthy artificial intelligence (2021) · cites this paper as McKnight et al. 2011
In the citing paper
“In line with the view of institutions-based trust in technology being an antecedent to trust in a specific technology (McKnight et al. 2011), we argue, that the limited availability of large, high-quality data in certain areas, which constraints our ability to promote human well-being through AI in those areas, could lead society to perceive the entire class of AIbased systems as not beneficent (”
From Trustworthy artificial intelligence (2021) · cites this paper as McKnight et al. 2011
Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,882
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Significance tests and goodness of fit in the analysis of covariance structures.
Bentler, P. M., & Bonett, D. G. (1980) · Psychological Bulletin · doi:10.1037/0033-2909.88.3.588 · Cited by 20,015
An integrative model of organizational trust
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995) · The Academy of Management Review · doi:10.2307/258792 · Cited by 10,736
Trust: The Social Virtues and the Creation of Prosperity
Schneider, P. A., & Fukuyama, F. (1996) · Journal of Marketing · doi:10.2307/1251846 · Cited by 10,493
Not So Different After All: A Cross-Discipline View Of Trust
Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998) · Academy of Management Review · doi:10.5465/amr.1998.926617 · Cited by 10,274
Trust and TAM in Online Shopping: An Integrated Model1
Gefen, D., Karahanna, E., & Straub, D. W. (2003) · MIS Quarterly · doi:10.2307/30036519 · Cited by 8,635
Structural Equation Modeling and Regression: Guidelines for Research Practice
Gefen, D., Straub, D., & Boudreau, M.-C. (2000) · Communications of the Association for Information Systems · doi:10.17705/1cais.00407 · Cited by 6,416
(2003) · International Journal of Electronic Commerce · doi:10.1080/10864415.2003.11044275 · Cited by 5,715
Developing and validating trust measures for e-commerce: an integrative typology
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002) · Information Systems Research · doi:10.1287/isre.13.3.334.81 · Cited by 5,550
Self-citationMultivariate Data Analysis with Readings.
Jolliffe, I. T., Hair, J. F., Anderson, R. E., & Tatham, R. L. (1988) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.2307/2983017 · Cited by 5,106
Rempel, J. K., Holmes, J. G., & Zanna, M. P. (1985) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.49.1.95 · Cited by 3,146 · cited 1×
“With people, one hopes they care enough to offer help when needed [Rempel et al. 1985].”
Background(1979) · Medical Entomology and Zoology · Cited by 3,065
Calculativeness, Trust, and Economic Organization
Williamson, O. E. (1993) · The Journal of Law and Economics · doi:10.1086/467284 · Cited by 2,998
Communication and Trust in Global Virtual Teams
Jarvenpaa, S. L., & Leidner, D. E. (1999) · Organization Science · doi:10.1287/orsc.10.6.791 · Cited by 2,903
Orlikowski, W. J., & Iacono, C. S. (2001) · Information Systems Research · doi:10.1287/isre.12.2.121.9700 · Cited by 2,751
Developing and Maintaining Trust in Work Relationships
Lewicki, R. J., & Bunker, B. B. (1996) · Sage eBooks · doi:10.4135/9781452243610.n7 · Cited by 2,671
Ysander, B.-C., & Arrow, K. J. (1975) · Ekonomisk Tidskrift · doi:10.2307/3438925 · Cited by 2,600
Building Effective Online Marketplaces with Institution-Based Trust
Pavlou, P. A., & Gefen, D. (2004) · Information Systems Research · doi:10.1287/isre.1040.0015 · Cited by 2,516
What trust means in e-commerce customer relationships: an interdisciplinary conceptual typology
McKnight, D. H., & Chervany, N. L. (2001) · International Journal of Electronic Commerce · doi:10.1080/10864415.2001.11044235 · Cited by 2,282
Self-citationA trust model for consumer Internet shopping
Lee, M. K. O., & Turban, E. (2001) · International Journal of Electronic Commerce · doi:10.1080/10864415.2001.11044227 · Cited by 2,012
Understanding the influence of national culture on the development of trust
Doney, P. M., Cannon, J. P., & Mullen, M. R. (1998) · The Academy of Management Review · doi:10.2307/259297 · Cited by 1,844
Barber, B. (1983) · DigitalGeorgetown (Georgetown University Library) · Cited by 1,800
Generalized expectancies for interpersonal trust.
Rotter, J. B. (1971) · American Psychologist · doi:10.1037/h0031464 · Cited by 1,604
Individual Trust in Online Firms: Scale Development and Initial Test
(2002) · Journal of Management Information Systems · doi:10.1080/07421222.2002.11045715 · Cited by 1,347 · cited 4×
“Knowledge Lippert, 2007 Accuracy, reliability, safety Initial trust in mobile banking in.uences behavioral intentions Initial Kim et al. 2009 Functionality, dependability, helpfulness Trust in IT in.uences PU and PEOU Knowledge Thatcher et al., 2011 Online Vendor Ability, integrity, benevolence Trust in vendor (or age…”
BackgroundInfluentialInitial trust formation in new organizational relationships
McKnight, D. H., Cummings, L. L., & Chervany, N. L. (1998) · The Academy of Management Review · doi:10.2307/259290 · Cited by 1,296
Self-citationUnderstanding online purchase intentions: contributions from technology and trust perspectives
van der Heijden, H., Verhagen, T., & Creemers, M. (2003) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000445 · Cited by 1,230
Toward A Taxonomy of Multidimensional Constructs
Law, K. S., Wong, C., & Mobley, W. M. (1998) · Academy of Management Review · doi:10.5465/amr.1998.1255636 · Cited by 1,136
Multidimensional constructs in organizational behavior research: an integrative analytical framework
Edwards, J. R. (2001) · Organizational Research Methods · doi:10.1177/109442810142004 · Cited by 1,128
The development of initial trust in an online company by new customers
Koufaris, M., & Hampton-Sosa, W. (2004) · Information & Management · doi:10.1016/j.im.2003.08.004 · Cited by 1,114
Reconceptualizing System Usage: An Approach and Empirical Test
Burton‐Jones, A., & Straub, D. W. (2006) · Information Systems Research · doi:10.1287/isre.1060.0096 · Cited by 1,096
Trust and e-commerce: a study of consumer perceptions
Corbitt, B. J., Thanasankit, T., & Yi, H. (2003) · Electronic Commerce Research and Applications · doi:10.1016/s1567-4223(03)00024-3 · Cited by 1,069
Trust Transfer on the World Wide Web
Stewart, K. J. (2003) · Organization Science · doi:10.1287/orsc.14.1.5.12810 · Cited by 1,067
Giffin, K. (1967) · Psychological Bulletin · doi:10.1037/h0024833 · Cited by 935
Understanding dynamics between initial trust and usage intentions of mobile banking
Kim, G., Shin, B., & Lee, H. G. (2009) · Information Systems Journal · doi:10.1111/j.1365-2575.2007.00269.x · Cited by 929
Suh, B., & Han, I. (2003) · International Journal of Electronic Commerce · doi:10.1080/10864415.2003.11044270 · Cited by 906
Trust In and Adoption of Online Recommendation Agents
Benbasat, I., & Wang, W. (2005) · Journal of the Association for Information Systems · doi:10.17705/1jais.00065 · Cited by 873
Thatcher, J. B., & Perrewé, P. L. (2002) · MIS Quarterly · doi:10.2307/4132314 · Cited by 773
Self-citationFriedman, B., Khan, P. H., & Howe, D. C. (2000) · Communications of the ACM · doi:10.1145/355112.355120 · Cited by 748
Examining Trust in Information Technology Artifacts: The Effects of System Quality and Culture
Vance, A., Elie-Dit-Cosaque, C., & Straub, D. W. (2008) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240403 · Cited by 599
McKnight, D. H., Chervany, N. L., & Humphrey, H. H. (2000) · Cited by 562
Self-citationMultivariate data analysis with readings (2nd ed.)
Hair, J. F., Anderson, R. E., & Tatham, R. L. (1986) · Macmillan Publishing Co., Inc. eBooks · Cited by 534
Do I Trust You Online, and If So, Will I Buy? An Empirical Study of Two Trust-Building Strategies
Lim, K. H., Sia, C. L., Lee, M. K. O., & Benbasat, I. (2006) · Journal of Management Information Systems · doi:10.2753/mis0742-1222230210 · Cited by 505
Relative attitudes and commitment in customer loyalty models
Zins, A. H. (2001) · International Journal of Service Industry Management · doi:10.1108/eum0000000005521 · Cited by 485
Organizational Mechanisms for Enhancing User Innovation in Information Technology1
Nambisan, S., Agarwal, R., & Tanniru, M. R. (1999) · MIS Quarterly · doi:10.2307/249468 · Cited by 452
The Role of Structural Equation Modeling in Scale Development
Noar, S. M. (2003) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem1004_8 · Cited by 452
Why Do Internet Users Stick with a Specific Web Site? A Relationship Perspective
Li, D., Browne, G. J., & Wetherbe, J. C. (2006) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415100404 · Cited by 435
The role of system trust in business-to-consumer transactions
PENNINGTON, R., WILCOX, H. D., & GROVER, V. (2003) · Journal of Management Information Systems · doi:10.1080/07421222.2003.11045777 · Cited by 407
Paul, D. L., & McDaniel, R. R. (2004) · MIS Quarterly · doi:10.2307/25148633 · Cited by 385
Internet privacy concerns confirm the case for intervention
Clarke, R. (1999) · Communications of the ACM · doi:10.1145/293411.293475 · Cited by 357
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 343
Self-citationAntecedents and consequences of relational components of the new psychological contract
Cavanaugh, M. A., & Noe, R. A. (1999) · Journal of Organizational Behavior · doi:10.1002/(sici)1099-1379(199905)20:3 · Cited by 330
Initial trust and the adoption of B2C e-commerce
Kim, K. K., & Prabhakar, B. (2004) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/1007965.1007970 · Cited by 319
Toward An Understanding Of Loyalty: The Moderating Role Of Trust*
Chow, S., & Holden, R. K. (2016) · Journal of managerial issues · Cited by 300
Factors influencing the adoption of web-based shopping
Slyke, C. V., Bélanger, F., & Comunale, C. L. (2004) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/1007965.1007969 · Cited by 273
Kim, D. J. (2008) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240401 · Cited by 250
Bierstedt, R., & Tedeschi, J. T. (1975) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2063638 · Cited by 249
Thatcher, J. B., McKnight, D. H., Baker, E. W., Arsal, R. E., & Roberts, N. H. (2011) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2009.2028320 · Cited by 196
Self-citationEarley, P. C. (1986) · Journal of Management · doi:10.1177/014920638601200402 · Cited by 194
Benamati, J. ‘., Fuller, M. A., Serva, M. A., & Baroudi, J. J. (2009) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2009.2023111 · Cited by 181
Trust and TAM in online shopping
GefenDavid, KarahannaElena, & StraubDetmar, W. (2003) · MIS Quarterly · doi:10.5555/2017181.2017185 · Cited by 168
Conflict, cooperation and trust in three power systems
Bonoma, T. V. (1976) · Systems Research and Behavioral Science · doi:10.1002/bs.3830210605 · Cited by 167
Sellers’ Trust and Continued Use of Online Marketplaces
University of Arizona, & Sun, H. (2010) · Journal of the Association for Information Systems · doi:10.17705/1jais.00226 · Cited by 136
McDaniel, D., & McDaniel, R. R. (2004) · MIS Quarterly · doi:10.5555/2017219.2017223 · Cited by 103
Williams, F. (1979) · Medical Entomology and Zoology · Cited by 85
Internal and External Dimensions of Computer Self-Efficacy: An Empirical Examination
Thatcher, J. B., Zimmer, J. C., Gundlach, M. J., & McKnight, D. H. (2008) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2008.927825 · Cited by 84
Self-citationTrustworthiness in B2C e-commerce: an examination of alternative models
Serva, M. A., Benamati, J. "., & Fuller, M. A. (2005) · ACM SIGMIS Database: the DATABASE for Advances in Information Systems · doi:10.1145/1080390.1080397 · Cited by 72
Buyers' Choice of Online Search Strategy and Its Managerial Implications
Sen, R., King, R. C., & Shaw, M. J. (2006) · Journal of Management Information Systems · doi:10.2753/mis0742-1222230107 · Cited by 64
Emotion in Close Relationships
Guerrero, L. K., & Andersen, P. A. (2000) · Sage eBooks · doi:10.4135/9781452220437.n13 · Cited by 59
Consumer Acceptance of Electronic Commerce
PavlouPaul, A. (2003) · International Journal of Electronic Commerce · doi:10.5555/1288216.1288221 · Cited by 50
Individual Trust in Online Firms
BhattacherjeeAnol (2002) · Journal of Management Information Systems · doi:10.5555/1289740.1289750 · Cited by 13
Lippert, S. K. (2007) · International Journal of Information Technology and Management · doi:10.1504/ijitm.2008.015888 · Cited by 10
SuhBomil, & HanIngoo (2003) · International Journal of Electronic Commerce · doi:10.5555/1288216.1288222 · Cited by 7
Balusek, S., & Sircar, S. (1998) · Information Systems Management · doi:10.1201/1078/43183.15.1.19980101/31102.7 · Cited by 2
Flagged first, then by citations
2 of the 81 references couldn’t be matched to a known paper.
Research works printed but not linked: 8
- Berscheid E., Close Relationships
- 10.5465/amr.1998.926629 · DOI · Paper page
- Golembiewski R. T. and Mcconkie M. 1975. The centrality of interpersonal trust in group processes. In Theories of Group Processes G. L. Cooper Ed. John Wiley & Sons London 131--185. Golembiewski R. T. and Mcconkie M. 1975. The centrality of interpersonal trust in group processes. In Theories of Group Processes G. L. Cooper Ed. John Wiley & Sons London 131--185.
- 10.5555/2017317.2017325 · DOI
- Lewicki R. J., 1996, Organizations: Frontiers of Theory and Research
- 10.5465/amr.1995.9508080335 · DOI · Paper page
- Mcknight D. H., 2005, Trust in information technology. In The Blackwell Encyclopedia of Management, Management Information Systems, G. B. Davis, Ed., Blackwell, Malden, MA, 7, 329
- 10.5465/amr.1998.926622 · DOI · Paper page
Cited by
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“, 1995) and trust in technology (Mcknight et al., 2011): benevolence/helpfulness, integrity/reliability, and competence/functionality.”
BackgroundMethodResultInfluentialArtificial Intelligence and Human Trust in Healthcare: Focus on Clinicians
Asan, O., Bayrak, A. E., & Choudhury, A. (2020) · Journal of Medical Internet Research · doi:10.2196/15154 · Cited by 825
Algorithmic bias: review, synthesis, and future research directions
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“…has previously been seen in the light of the technology ’ s functionality, ability to provide help and operational reliability and the technology provider ’ s integrity, benevolence and competence — including privacy aspects (McKnight et al., 2011; Prakash and Das, 2020; Ta et al., 2020).”
BackgroundBeiderbeck, D., Frevel, N., von der Gracht, H. A., Schmidt, S. L., & Schweitzer, V. M. (2021) · MethodsX · doi:10.1016/j.mex.2021.101401 · Cited by 642
Metadata
- Authors
- Mcknight, D. H., Carter, M., Thatcher, J. B., & Clay, P. F.
- Affiliations
- Michigan State University (US)
- Clemson University (US)
- Washington State University (US)
- Venue
- ACM Transactions on Management Information Systems
- Published
- 2011-06
- Volume
- 2
- Issue
- 2
- Pages
- 1-25
- ISSN
- 2158-656X (ISSN-L)
- 2158-6578
- OpenAlex
- W2037881738
- Semantic Scholar
- 1581959e828d2701b72702264bca37ca7f408124
- Cited by
- 1,185
- References
- 81
- Citations by year
- 2026: 273 · 2025: 182 · 2024: 147 · 2023: 131 · 2022: 110 · 2021: 95 · 2020: 74 · 2019: 38 · 2018: 36 · 2017: 15 · 2016: 19 · 2015: 14 · 2014: 23 · 2013: 22 · 2012: 4
- FWCI
- 37.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ACM Transactions on Management Information Systems (publishedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Keywords
- trust in technology, interpersonal trust, trust measurement, construct validity, convergent validity, discriminant validity, nomological network, technology adoption, information systems
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