Data Selecting

In order to explore the trend of TAM development, we planned to analyze the relation among some papers which we consider as important TAM articles in academic field. But what a proper criteria can be used for deciding research papers on TAM as important articles? The research papers on TAM that are published in SSCI¹ journals collected for the present research. On January 1^st, 2009, we searched the articles with the key word “technology acceptance model” in SSCI database.

1

  SSCI: Social Sciences Citation Index. SSCI is the most famous and powerful accreditation in social science developed the Institute for Scientific Information (ISI), the US. SSCI is an interdisciplinary citation index product of Thomson Scientific. This citation database covers more than 1,700 of the world’s leading journals of social sciences, and more than 50 disciplines online. This database product provides information to identify the articles cited most frequently and by what publisher and author. 

Identify documents highly cited by ISI database

Retrieve co-citation counts for each pair of documents

Compile:

(1) Matrix of raw co-citations (2) Matrix of Pearson's correlations

Perform the following analysis:

(1) Factor analysis to identify factors

(2) Cluster analysis to find and draw subgroups

(3) Multidimensional scaling to graphically map documents proximities

Explain the results

Figure 4 SSCI Database

Figure 5 Result of TAM Paper-Searching in ISI Database

The result shows that there are 518 papers that their research topics are about

“technology acceptance model” (Figure 5). According to the reference paper ” The Intellectual Development of Management Information Systems, 1972-1982: A Co-Citation Analysis” by Mary J. Culnan, 1986, the author chooses 30 or more times that a paper had been cited to retained for subsequent co-citation analysis (Culnan, 1986). We collected the research papers on TAM that had been cited 30 or more times from 1977 to January 1^st, 2009. This procedure results in a list of 65 papers received

between 513 and 30 cited times. But this collection is clearly not exhaustive of the articles which are currently published in the SSCI journals. The later the papers are published, the lesser the cited times they have. Only two articles published in 2005 and no one published after 2006 are collected in our research pool. This phenomenon is called “publication lag” due to the fact that a number of years are required for published articles to be subsequently cited. To reduce the possible bias due to publication lags, we enlarged our collection of the core papers which have 20 or more cited times published after 2005 (Acedo, Barroso, and Galan, 2006). Another six articles published after 2005 are included in our research pool. Last, we added the most important article on TAM in our research pool. That is "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology” in MIS Quarterly by Davis, FD, 1989. This article is generally considered as the first article proposed the TAM concept in academic journals. The whole procedure finally resulted in 72 articles to our research pool. The list of these 72 core papers are shown in Table 1, Table 2, and Table 3.

Table 1 Core Set Documents I

No. Author Year Title Source Impact Factor Cited Times

1 Davis 1989 Perceived usefulness, perceived ease of use, and user acceptance of information technology MIS Quarterly 5.826 1583 2 Taylor et al. 1995 Understanding information technology usage: a test of competing models Information Systems Research 2.682 513 3 Venkatesh et al. 2000 A theoretical extension of the technology acceptance model: four longitudinal field studies Management Science 1.931 508

4 Venkatesh et al. 2003 User acceptance of information technology: toward a unified view MIS Quarterly 5.826 435

5 Venkatesh et al. 2000 Determinants of perceived ease of use: integrating control,

intrinsic motivation, and emotion into the technology acceptance model Information Systems Research 2.682 257

6 Gefen et al. 2003 Trust and TAM in online shopping: an integrated model MIS Quarterly 5.826 254

7 Venkatesh et al. 1996 A model of the antecedents of perceived ease of use: development and test Decision Sciences 1.435 243 8 Venkatesh et al. 2000 Why don't men ever stop to ask for directions?

Gender, social influence, and their role in technology acceptance and usage behavior

MIS Quarterly 5.826 223

9 Gefen et al. 1997 Gender differences in the perception and use of E-mail: an extension to the technology acceptance model MIS Quarterly 5.826 210

10 Szajna 1996 Empirical evaluation of the revised technology acceptance model Management Science 1.931 196

11 Igbaria et al. 1997 Personal computing acceptance factors in small firms: a structural equation model MIS Quarterly 5.826 188

12 Taylor et al. 1995 Assessing IT usage: the role of prior experience MIS Quarterly 5.826 171

13 Moon et al. 2001 Extending the TAM for a World-Wide-Web context Information & Management 1.631 162

14 Agarwal et al. 1999 Are individual differences germane to the acceptance of new information technologies? Decision Sciences 1.435 158 15 Koufaris et al. 2002 Applying the technology acceptance model and flow theory to online consumer behavior Information Systems Research 2.682 155

16 Straub et al. 1995 Measuring system usage: implication for IS theory testing Management Science 1.931 145

17 Hu et al. 1999 Examining the technology acceptance model using physician acceptance of telemedicine technology Journal of Management Information Systems

1.867 141

18 Venkatesh 1999 Creation of favorable user perceptions: exploring the role of intrinsic motivation MIS Quarterly 5.826 140 19 Legris et al. 2003 Why do people use information technology? A critical review of the technology acceptance model Information & Management 1.631 139 20 Bhattacherjee 2001 Understanding information systems continuance: an expectation-confirmation model MIS Quarterly 5.826 135

21 Lederer et al. 2000 The technology acceptance model and the World Wide Web Decision Sciences 1.119 125

22 Chin et al. 1995 On the use, usefulness, and ease of use of structural equation modeling in MIS research: a note of caution MIS Quarterly 5.826 115 23 Devaraj et al. 2002 Antecedents of B2C channel satisfaction and preference: validating e-commerce metrics Information Systems Research 2.682 107 24 Jackson et al. 1997 Toward an understanding of the behavioral intention to use an information system Decision Sciences 1.435 107 25 Karahanna et al. 1999 The psychological origins of perceived usefulness and ease-of-use Information & Management 1.631 98

26 Dishaw et al. 1999 Extending the technology acceptance model with task-technology fit constructs Information & Management 1.631 97 27 Pavlou 2003 Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance

model

International Journal of Electronic Commerce

1.186 88

Table 2 Core Set Documents II

No. Author Year Title Source Impact Factor Cited Times

28 Chen et al. 2002 Enticing online consumers: an extended technology acceptance perspective Information & Management 1.631 88

29 Igbaria et al. 1995 Effects of self-efficacy on computer usage Omega-International Journal

of Management Science

1.327 86

30 Agarwal et al. 2002 Assessing a firm's Web presence: a heuristic evaluation procedure for the measurement of usability Information Systems Research 2.682 80

31 Straub et al. 1997 Testing the technology acceptance model across cultures: a three country study Information & Management 1.631 73 32 Venkatesh et al. 2001 A longitudinal investigation of personal computers in homes: adoption determinants and emerging

challenges

MIS Quarterly 5.826 67

33 Chau et al. 2001 Information technology acceptance by individual professionals: a model comparison approach Decision Sciences 1.435 65

34 Lucas et al. 1999 Technology use and performance: a field study of broker workstations Decision Sciences 1.435 63

35 Lin et al. 2000 Towards an understanding of the behavioural intention to use a web site International Journal

of Information Management 0.451 62

36 Wu et al. 2005 What drives mobile commerce? An empirical evaluation of the revised technology acceptance model Information & Management 1.631 60 37 Davis et al. 1996 A critical assessment of potential measurement biases in the technology acceptance model: three

experiments

International Journal of Human-Computer Studies

1.364 57

38 van der Heijden 2004 User acceptance of hedonic information systems MIS Quarterly 5.826 56

39 Chau et al. 2002 Investigating healthcare professionals' decisions to accept telemedicine technology:

an empirical test of competing theories

Information & Management 1.631 54

40 Plouffe et al. 2001 Research report: richness versus parsimony in modeling technology adoption decisions

-understanding merchant adoption of a smart card-based payment system Information Systems Research 2.682 54 41 Doll et al. 1998 Using Davis's perceived usefulness and ease-of-use instruments for decision making:

a confirmatory and multigroup invariance analysis

Decision Sciences 1.435 53

42 Wixom et al. 2005 A theoretical integration of user satisfaction and technology acceptance Information Systems Research 2.682 52 43 Bhattacherjee 2001 An empirical analysis of the antecedents of electronic commerce service continuance Decision Sciences 1.119 52 44 Grandon et al. 2004 Electronic commerce adoption: an empirical study of small and medium US businesses Information & Management 1.631 47 45 Gefen et al. 2003 Inexperience and experience with online stores: the importance of TAM and trust IEEE Transactions

on Engineering Management 0.962 45

46 van der Heijden 2003 Factors influencing the usage of websites: the case of a generic portal in The Netherlands Information & Management 1.631 45 47 Briggs et al. 2003 Collaboration engineering with ThinkLets to pursue sustained success with group support systems Journal of Management

Information Systems

1.867 45

48 Hsu et al. 2004 Why do people play on-line games? An extended TAM with social influences and flow experience Information & Management 1.631 44

49 Bagozzi et al. 1992 Development and test of a theory of technological learning and usage Human Relations 1.103 43

50 Al-Gahtani et al. 1999 Attitudes, satisfaction and usage: factors contributing to each in the acceptance of information technology Behaviour & Information Technology

1.028 42

Table 3 Core Set Documents III

No Author Year Title Source Impact Factor Cited Times 51 Hong et al. 2001 Determinants of user acceptance of digital libraries:

an empirical examination of individual differences and system characteristics

Journal of Management Information Systems

1.867 41

52 Hackbarth et al. 2003 Computer playfulness and anxiety:

positive and negative mediators of the system experience effect on perceived ease of use Information & Management 1.631 39 53 Vijayasarathy 2004 Predicting consumer intentions to use on-line shopping:

the case for an augmented technology acceptance model

Information & Management 1.631 38

54 Gefen et al. 1998 The impact of developer responsiveness on perceptions of usefulness and ease of use:

an extension of the technology acceptance model

Data Base For Advances in Information Systems

- 38

55 Pavlou et al. 2006 Understanding and predicting electronic commerce adoption: an extension of the theory of planned behavior

MIS Quarterly 5.826 37

56 Bruner et al. 2005 Explaining consumer acceptance of handheld Internet devices Journal of Business Research 0.878 37

57 Morris et al. 1997 How user perceptions influence software use IEEE Software 1.462 37

58 Yi et al. 2003 Predicting the use of web-based information systems:

self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model

International Journal of Human-Computer Studies

1.364 36

59 Sussman et al. 2003 Informational influence in organizations: an integrated approach to knowledge adoption Information Systems Research 2.682 36 60 Riemenschneider

et al.

2003 Understanding it adoption decisions in small business: integrating current theories Information & Management 1.631 36

61 Luarn et al. 2005 Toward an understanding of the behavioral intention to use mobile banking Computers in Human Behavior 1.344 34 62 Shih 2004 An empirical study on predicting user acceptance of e-shopping on the Web Information & Management 1.631 33 63 Amoako et al. 2004 An extension of the technology acceptance model in an ERP implementation environment Information & Management 1.631 31 64 Nysveen et al. 2005 Intentions to use mobile services: antecedents and cross-service comparisons Journal of Management

Information Systems

1.18 30

65 Ong et al. 2004 Factors affecting engineers' acceptance of asynchronous e-learning systems in high-tech companies Information & Management 1.631 30 66 Featherman et al. 2003 Predicting e-services adoption: a perceived risk facets perspective International Journal

of Human-Computer Studies 1.364 30

67 Carter et al. 2005 The utilization of e-government services: citizen trust, innovation and acceptance factors Information Syatems Journal 1.531 26 68 Shang et al. 2005 Extrinsic versus intrinsic motivations for consumers to shop on-line Information & Management 1.631 25 69 Saade et al. 2005 The impact of cognitive absorption on perceived usefulness and perceived ease of use

in on-line learning: an extension of the technology acceptance model

Information & Management 1.631 22

70 Lee et al. 2005 Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation Information & Management 1.631 20

71 Yu et al. 2005 Extending the TAM for a t-commerce Information & Management 1.631 20

72 Lai et al. 2005 Technology acceptance model for internet banking: an invariance analysis Information & Management 1.631 20