Essays on information and communication technology investment, post adoption and economic impacts

177 378 0
Essays on information and communication technology investment, post adoption and economic impacts

Đang tải... (xem toàn văn)

Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống

Thông tin tài liệu

ESSAYS ON INFORMATION AND COMMUNICATION TECHNOLOGY: INVESTMENT, POST-ADOPTION, AND ECONOMIC IMPACTS ROYA (ROGHIEH) GHOLAMI (B.Sc. K.N. Toosi University of Technology) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF INFORMATION SYSTEMS NATIONAL UNIVERSITY OF SINGAPORE 2005 AKNOWLEDGEMENTS Many individuals have helped in one way or another in the accomplishment of this thesis. Without the help of such very special people, this research may not been able to produce the intended results. Therefore I would like to take this opportunity to express my gratitude for their constant support, guidance, and dedications in making this thesis possible. I would like to thank my supervisors Dr. Tom Lee and Dr. John Lim for their advice and guidance throughout the duration of this thesis. Tom has been an invaluable source of inspiration and support throughout the study. He has always been accessible for discussions and for providing advice and mentoring at any time of need. Prof. Lim has been a senior mentor who has always provided support and resources for the study. The combination of their support has been instrumental for this work. More importantly, I am grateful to them for accommodating my interests and directing them towards a research worthy effort. All this would not have been possible without their openness and thoughtful interventions. I look forward to working with them in the future as well. Faculty members at the National University of Singapore and external universities have contributed to the success of this study. Dr. Hui Kai-Lung, Dr. Calvin Xu Yunjie, Dr Rudy Setiono, Dr. Khim Yong Goh, Dr. Almas Heshmati, Dr. Saeed Moshiri, Dr. John L. King, Dr. K.L Kraemer, Dr. Michael Myers, Dr. Jyoti Choudrie, Dr. Shanton Chang, Dr. Moez Lymayem, and Dr. Heejin Lee gave interesting and useful suggestions for carrying out this piece of research work. Several anonymous editors and reviewers of journals and conferences offered comments to upgrade the quality of this work. I would like to extend my deep appreciation to School of Computing of NUS for the rich research resources and financial support. To my lab-mates in particular Xu Heng and Rangamani B. Venkatarayappa, I wish to express my appreciation of their time and effort that has helped me in one way, or another. This thesis owes a special debt to my friends Zahra Mehrizi, Shirin Karimpour, Mostafa Rastin, Pari Jalali, Payam Khashaee, Khadijah Alattas, and Ilham for their continuous inspiration and support. Last, but not least, I would like to thank my family for their love and support. This thesis would have not been possible without their forbearance, and support during the many months that I spent working on this peace of work. The thesis, as well as what I am being today, is made on their shoulders. My parents who though not physically present in Singapore have always been a source of encouragement for me. ii CONTENTS Page Title……………………………………………………………………………………………… i Acknowledgement……………………………………………………………………………… ii Contents …………………………………………………………………………………….… .iii List of Publications……………………………………………….…………………………….vii List of Figures……………………………………………………………………………….…viii List of Tables…………………………………………………………………………………….ix Summary … .…… .…………………………………………………………………………… x Chapter ………………………………………………………………………………… .…1 Introduction………………………………………………………………………………………1 1.1 Background…………………………………………………………………… …….1 1.2 Definition of Information and Communication Technology (ICT)……………… 1.3 Time Series Analysis in the Assessment of ICT impact at the Aggregate LevelLessons and Implications in the New Economy…………………………………… 1.3.1 1.4 The Causal Relationship between Information and Communication Technology and Foreign Direct Investment………………………………………………… …… .8 1.4.1 1.5 Potential Contributions of the study……………………………………………12 Broadband Internet Usage……….……………… . ………………… .… .…… .13 1.6.1 1.7 Potential Contributions of the Study …………………………………………….9 International Spillovers of Information and Communications Technology (ICT)… 10 1.5.1 1.6 Potential Contributions of the Study………………………………………… Potential Contributions of the Study ………………………….……………… 14 Significance of the Study and Research Scope………………………………………15 Chapter ………………………………………………………………………………….….19 Time Series Analysis in the Assessment of IT impact at the Aggregate Level - Lessons and Implications in the New Economy…………………….……………………………………….19 2.1 Introduction ………… .……………………………………………………… … .20 2.2 Methodology …………………………………………………………………… 25 2.2.1 Production Function…………………………………………………………….25 2.2.2 Solow’s Residual …… .…………………… .……………………………… 26 iii 2.2.3 Unit Root Test……………………………………………………………… …28 2.2.4 Johansen Cointegration Test…………………………………… .…………….28 2.2.5 Granger Causality Test…………………………………… .………………….29 2.2.6 Error Correction Model…………………………………………………………31 2.2.7 Impulse Response Function…………………………………………………….31 2.3 Data …… .…………………………………… .…………………………… ……32 2.4 Empirical Results and Discussion………………………… .………………………34 2.4.1 Group1: Long and Short-run Interrelation of Economic Growth with ICT 37 2.4.2 Group2: Long-run Equilibrium of National Productivity with ICT……………….38 2.4.3. Group3: Short-Run Association of ICT with Economic Growth …………… .…39 2.4.4 Group 5: Causality from National Productivity to ICT……………………………41 2.5 Research and Policy Implications ……………………………………………………42 2.6 Limitations and Concluding Remarks………………… .…………………….…43 Chapter ………………………………………………………………………………….….47 The Causal Relationship between Information and Communication Technology and Foreign Direct Investment…………………………………………………………………… 47 3.1 Introduction ………………………………………………………….………………….48 3.2 The impacts of FDI on economic growth……………………………………………… 51 3.2.1 Determinants of inflow of FDI: Conceptual Framework…. ……………………….53 3. Data…………………………………………………………………………………… 58 3. Research Model………………………………………………………… …………….59 3.4.1 Time series Granger causality analysis …………………………………………….59 3.4.2 Panel data causality analysis……………………………………………………… 60 3.4.3 A method of instrumental variables………………………… .……………………62 3. 3.6 Empirical Results and Discussion…………………………………………………… 63 3.5.1 Test Results………………………………………………………………… …63 3.5.2 Discussion and Implications……………………………………………………67 Limitations, Future Research and Concluding Remarks……………………… ………70 iv Chapter 4…………………………………………………………………………………… .72 International Spillovers of Information and Communications Technology (ICT)…… 72 4.1 Introduction………………………………………… ………………………………….73 4.2 Does ICT spillover matter for TFP growth? A Review of Literature…………… .… 78 4.3 4.2.1 Why TFP growth is important? …………………………………………… .…79 4.2.2 Endogenous Growth Theory ……………………………………………… .…80 4.2.3 ICT as a General Purpose Technology…………………………… .…….……81 4.2.4 Earlier Studies on Non-Traditional Effect of ICT ………………………… …82 Modeling the ICT Impact on TFP……………………………………… ………… .…84 4.3.1 Control for R&D Investment………………………………………………… .89 4.4 Data …………………………………………………………………………………… 90 4.5 Estimation Results…………………………………… .……………………………… 94 4.6. Discussion, Implications, limitations and future research…… .…………………… …96 4.7 Conclusion ……….…………………………………………… …………………… …99 Chapter 5……………………………………………………………………………….… 101 Broadband Internet Post-Adoption………………………………………………….… …101 5.1 Introduction……………………………….……………………………………………102 5.2 Motivation of the Study: Why Broadband? ………………………………… …… .104 5.3 Broadband Usage in Singapore ………………………………………………….… 106 5. Theoretical Background: A Brief Review of Literature……………………………….107 5.4.1 IS Continuance Model ……………….………………………………… … .108 5. Research Model and Hypotheses… .…………… ……………………………… …112 5.6 Research Methodology……….……………………………………………………….113 5.6.1 Overview…………………………………….…………………………… .…113 5.6.2 Measurement Issues…………………………………………….…………… 113 5.6.3 Operationalization of Model Variables………… .………… .………………114 5.6.3.1 Perceived Usefulness………………………… ……………………115 5.6.3.2 Satisfaction… .………………………………………………… .…116 5.6.3.3 Confirmation .….……………………………………………………116 5.6.3.4 Continuance Intention ……… ……………………………………117 5.6.3.5 Continuance… .……………… ……………………….………… 117 v 5.7 Content Validity………………………………………………………… .………… .118 5.8 Administration of Survey Methodology…………………………………… .……… 120 5.9 5.10 5.8.1 Identification of the Sample…………………………………….………… …121 5.8.2 Survey Response…………………………………………………….…… .…122 Data Analysis (Statistical Technique)……………………………………………….…124 5.9.1 Structural Equation Modeling…………………………………………………124 5.9.2 Partial Least Squares (PLS) ………………………………………… ………126 5.9.3 Testing the Psychometric Properties of the Constructs by PLS………………127 5.9.4 Internal Consistency Reliability …………………………………… … …128 5.9.5 Convergent Validity…………………………………………………… .……128 5.9.6 Discriminant Validity………………………………………………………….140 5.9.7 PLS Structural Model…………………………………………………………141 5.9.8 External Validity………………………………………………… ……… …143 Discussion and Implications………… ……… ………………………………… …145 5.10.1 5.11 Research and Policy Implications…………………………… .………….…145 Concluding Remarks… ………………………………………………………………146 5.11.1 Contributions of the Study……………………………………………… .…146 5.11.2 Limitations………………………………………………………………… 147 5.11.3 Future Research………………………………………………………… …150 References…………………………………………………………………………… … .… 151 APPENDIX A – Survey Questionnaire…………………………………… …………………………170 vi List of Publications: 1. Sang-Yong Tom Lee, Roghieh Gholami, Tan Yit Tong (2005), Time Series Analysis in the Assessment of ICT Impact at the Aggregate Level – Lessons and Implications in the New Economy, Information and Management, 42, 1009–1022. 2. Roghieh Gholami, Sang-Yong Tom Lee, and Almas Heshmati (2006), The Causal Relationship between Information and Communication Technology and Foreign Direct Investment, World Economy 29 (1), 43-62. 3. Roghieh Gholami, Saeed Moshiri, and Sang-Yong Tom Lee (2004), ICT and Technical Efficiency of the Manufacturing Industries in Iran, Electronic Journal of Information Systems in Developing Countries, 19 (4), 1-19. 4. Guo Xiao Jia, Roghieh Gholami, Sang-Yong Tom Lee, (2006), International Spillovers of Information and Communication Technology (ICT): A Panel Study, Paper submitted to ISR. 5. Roghieh Gholami, John Lim, and Sang Yong Tom Lee (2006), A Survey on PostAdoption of Broadband Internet, work in progress. vii LIST OF FIGURES Figure 2.1 Impulse Response Function……………………………………………………… …46 Figure 3.1 Impact of ICT on Coordination and Transaction Costs…………………………… 56 Figure 5.1 Post-Acceptance Model of IS Continuance ………………………………… .……111 Figure 5.2 Structural Model……………………………………………………………….……142 viii LIST OF TABLES Table 2.1 Descriptive Statistics………………………………………………………………… 33 Table 2.2 Results of Unit Root Test and Co-integration Test……………………………………35 Table 2.3 Results of Granger Causality Test………………………………………………… .36 Table 3.1 Results of ADF Unit Root and Granger-Causality Tests………………………… .…65 Table 3.2 Results of Johansen Co-integration Test ………………………………………… …66 Table 3.3 Results of Panel Causality Tests from LSDV and Instrumental Variable Estimation .67 Table 4.1 Grouping Information………………………………………………………… ….88 Table 4.2 Bilateral Imports (Imij) for year 2001…………………………………………… .92 Table 4.3 Summary Data for year 2001……………………………………………………… 93 Table 4.4 Summary of Regression Results………………………………………………………94 Table 5.1 Operationalization of Perceived Usefulness…………………………………………115 Table 5.2 Operationalization of Satisfaction……………………………………………… .…116 Table 5.3 Operationalization of Confirmation……………………………………………….…116 Table 5.4 Operationalization of Continuance Intention………………….………………….….117 Table 5.5 Operationalization of Continuance… .…………………………………………… .117 Table 5.6 List of Measures……………………………………………… ………………….…119 Table5.7 Descriptive Statistics of Respondents………………………… …………………….123 Table 5.8 Normality Tests of Model Variables……………………………………… ……….127 Table5.9 Psychometric Properties of the Constructs………………… ………………… .…130 Table 5.10 Discriminant Validity of Constructs………………………… ………………… 140 Table 5.11 Structural Model……………………………………………………………………143 Table 5.12 Response Bias Results…………………………………………………………… .144 ix SUMMARY The impact of information and communications technology (ICT) on economic performance has become a key area of research in the field of IS. The surge of this research area is attributed to the important and mysterious role ICT has played in firms, industries as well as economies as a whole. As a result, evaluating the contributions of ICT investment on economic growth and understanding the determinants of its adoption and usage have always been elusive but important goals of IS researchers and economists. In spite of legitimate concerns about measurement, data, and statistical models, the evidence of positive and significant productivity gains related to ICT investment is still strong. However, a positive contribution does not tell us whether we are grossly over- or underestimating ICT impacts. From the management standpoint, simply knowing that the overall contribution is positive is not enough. Indeed the magnitude of the contribution is more important than the sign in guiding future ICT spending. Therefore, a useful approach would be to focus less on the question of whether ICT creates value, but more on how, when, and why benefits occur or fail to so. The primary objective of this thesis is to remedy certain methodological inadequacies in previous studies. For example, by employing time series analysis tools, spurious regression problem is eliminated. The other main objective is to investigate a few channels through which ICT may boost economic growth at the national and international levels, such as the channel of foreign direct investment (FDI), and spillover effects. The last objective of this research is to investigate the determinants of Broadband Internet usage, since Broadband is considered as an accelerator of economic growth. Besides, governments and industries are all aiming to obtain online products and services for which the role of Broadband is pertinent. x Gurbaxani, V., Melville, N. and Kraemer, K.L. (1998), Disaggregating the return of Investment to IT Capital, Proceedings of the International Conference on Information Systems, Helsinki, Finland. Gust, C. and Marquez, J. (2003), International comparisons of productivity growth: The role of information technology and regulatory practices, Labor Economic, 324. Hair, J. F., Anderson, R. E., Tatham, R. L., and Black, W. C. (1995), Multivariate Data Analysis with Readings, 4th Edition. Englewood-Cliffs, New Jersey: Prentice-Hall, Inc. Hanna, N. (2003), Why National Strategies are needed for ICT-enabled Development, World Bank (April). Hann, J. and Weber, R. (1996), Information systems planning: A model and empirical tests. Management Science, 42 (7), 1043-1064. Harrison, D.A., Mykytyn P.P.J.r. and Riemenschneider C.K. (1997), Executive decisions about adoption of information technology in small business: theory and empirical tests, Information Systems Research, (2), 171-195. Hempell, T. (2002a), Does Experience Matter? Innovation and the Productivity of ICT in German Services, ZEW Discussion Paper 02–43, Centre for European Economic Research. Hempell, T. (2002b), What’s Spurious, What’s Real? Measuring the Productivity of ICT at the Firm–Level, ZEW Discussion Paper 02–42, Centre for European Economic Research. Hulland, J. (1999), “Use of partial least squares (PLS) in strategic management research: a review of four recent studies”, Strategic Management Journal, 20, 195-204. Holtz-Eakin, D., Newey, W. and Rosen, H. (1990), Estimating vector autoregressions with panel data, Econometrica, 56, 1371–95. Howell, J. M. and Higgins, C.A. (1990), Champions of technological innovations, Administrative Science Quarterly, 35 (2), 317-341. Hu, Q., and Plant R.T. (2001), An empirical study of the causal relationship between IT investment and firm performance, Information Resource Management Journal, 14 (3), 15–26. IDA Survey on Broadband and Wireless Usage in Singapore (2003), Infocomm Devevelopment Authority of Singapore http://www.ida.gov.sg/idaweb/doc/download/I2389/Survey_on_BB_and_wireless_usage_in_Spo re_2002.pdf Igbaria, M. (1990), End-user computing effectiveness: A Structured Equation Model, Omega, 18(6), 637-652. Im, K.S., Dow, K.E. and Grover, V. (2001), A Reexamination of IT Investment and the Market Value of the Firm – An Event Study Methodology, Information Systems Research, 12 (1), 103117. International Telecommunication Union (1997), ITU-T Recommendation I.113: vocabulary of terms for broadband aspects of ISDN, Geneva http://www.itu.int/rec/recommendation.asp?type=items&lang=e&parent=T-REC-I.113-199706I. 17 July 2002. 150 Islam, N. (1995), Growth empirics: A panel data approach, Quarterly Journal of Economics, 110 (4), 1127–1170. The ITU Internet Report, Birth of Broadband (2003), International Telecommunication Union. ITU (2002), World Telecommunication Indicators Database (sixth edition), Geneva: International Telecommunications Union. Last update 16 December 2002. Available at http://www.itu.int/ITU-D/ict/publications/world/world.html Jaffe, A.B. (1986). Technological opportunity and spillovers of R&D: Evidence from firms’ patents, profits, and market value, The American Economic Review 76, 984-1001. James, J. (1999), Globalization, Information Technology and Development, Basingstoke: Macmillan. James J. (2002), Information Technology, transactions costs and patterns of globalization in developing countries, Review of Social Economy, 60 (4), 507-19. Japan Economic Update, July 8/11, 2000. Johansen, S. (1988), Statistical Analysis of Co-integrating Vectors, Journal of Economic Dynamics and Control, 12, 231–54. Johansen, S. and Juselius, K. (1990), Maximum Likelihood Estimation and Inference on Cointegration with Applications for the Demand for Money, Oxford Bulletin of Economics and Statistics, 52, 169–210. Jorgenson, D. (2001), Information Technology and the US economy, The American Economic Review, 91, 1-32. Jorgenson, D.W. and Stiroh, K.J. (2000a), Raising the Speed Limit: U.S. Economic Growth in the Information Age, Brookings Papers on Economic Activity, 125-211. Jorgenson, D.W. and Stiroh, K.J. (2000b), US economic growth at he industry, American Economic Review, 90 (2), 161-167. Jorgenson, D.W., Ho, M.S. and Stiroh, K.J. (2002), Information Technology, Education, and the Sources of Economic Growth across US Industries. mimeo, downloadable at http://post.economics.harvard.edu/faculty/jorgenson/papers/jhscriw.pdf Joreskog, K.G. and Sorbom, D. (1984), LISREL VI: Analysis of Linear Structural Relationships by Maximum Likelihood, Instrumental Variables, and Least Squares Methods, Scientific Software Inc., Mooresville, IN. Jovanovic, B. and MacDonald, G. (1994), Competitive Diffusion, Journal of Political Economy, 102 (1), 24-52. Karahanna, E, Detmar, W. Straub and Chervany N.L. (1999), Information technology adoption across time: a cross section comparison of pre-adoption beliefs and post adoption beliefs, MIS Quarterly, 23 (2), 183-213. Kathuria, V. (1996), Spillover effect of technology transfer to India: An econometric study, Indira Gandhi Institute of Development Research. 151 Kegels, C., Van Overbeke, M. and Van Zandweghe, W. (2002), ICT Contribution to Economic Performance in Belgium: Preliminary Evidence – Revision of WP 7-02, Federal Planning Bureau Working Paper 8-02. Keil, M., Beranek, P. M. and Konsynski, B. R. (1995), Usefulness and ease of use: field study evidence regarding task considerations. Decision Support Systems, 13 (1), 75-91. Kenny, C. and Motta, M. (2002), The ICT Framework in Chile, World Bank. Washington D.C. Kerlinger, F.N. (1986), Foundations of Behavioral Research, Texas: Holt, Rinehart and Winston. Kettinger, W.J. and Grover, V. (1997), The Use of Computer-Mediated Communication in an Inter-organizational Context, Decision Sciences, 28 (3), 513-555. King, R.C. and Gribbins, M.L. (2002), Internet Technology Adoption as an Organizational Event: An Exploratory Study, Proceedings of HICSS. Kohli, R., and Sherer, S. A. (2002), Measuring the Payoff of Information Technology Investments: Research Issues and Guidelines, in Proceedings of the Eighth Americas Conference on Information Systems, R. Ramsower and J. Windsor (eds.), Dallas, TX, 2411-2416. Kohli, R. and Devaraj, S. (2003), Measuring Information Technology Payoff: A Meta-Analysis of Structural Variables in Firm Level Empirical Research, Information Systems Research 14 (2), 127-145. Konings, J. (2001), The Effects of Foreign Direct Investment on Domestic Firms: Evidence from Firm Level Panel Data in Emerging Economies, Economics of Transition, 9, 619-633. Kraemer, K.L. and Dedrick, J. (1994), Payoffs from Investment in Information Technology: Lessons from the ASIA-PACIFIC Region, World Development, 22 (12), 1921-1931. Kraemer, K.L. and Dedrick, J. (1997), IT-Led Development in Singapore: From Winchester Island to Inteligent Island, Working paper #ITR-123, Center for Research on Information Technology and Organizations, Graduate school of Management, university of California. Kraemer, K.L. and Dedrick, J. (1999), Information Technology and Productivity: Results and 151 Policy Implications of Cross-Country Studies, Working paper #PAC-144, Center for Research on Information Technology and Organizations, Graduate school of Management, university of California. Kraemer, K.L. and Tallon, P. (1999), The Impact of Technology on Ireland’s Economic Growth and Development: Lessons for Developing Countries, Center for Research on Information Technology and Organizations, Graduate School of Management, University of California. Kwon, T. H., and Zmud, R.W. (1987), “Unifying the Fragmented Models of Information Systems Implementation," in Critical Issues in Information Systems Research, R. J. Boland and R. A. Hirschheim (eds.), John Wiley and Sons, New York, 227-251. Lee B. (1996), Are Knowledge Spillovers International or Intranational in Scope? Microeconometric Evidence from the Us and Japan, Journal of International Economics, 1996. Lee, B., Barua, A. (1999), An integrated assessment of productivity and efficiency impacts of information technology investments: Old data, new analysis and evidence. J. Productivity Analysis 12 (1) 21–43. 152 Leeuwen, G. and Van Der Wiel H. P. (2003a), Do ICT spillovers matter? Empirical evidence for The Netherlands, CPB Discussion Paper. Li, H., Liu, Z., and I. Rebelo (1998), Testing the neoclassical theory of economic growth: Evidence from Chinese provinces, Economics of Planning, 31(2/3), 117–132. Li, X., and X. Liu (2005), Foreign Direct Investment and Economic Growth: An Increasingly Endogenous Relationship, World Development, 33 (3), 393–407. Lichtenberg, F. (1995), The Output Contributions of Computer Equipment and Personnel: A Firm Level Analysis, Economics of Innovation and new Technology, 3, 201-207. Lieberman, M.B. (1984), The learning curve and pricing in the chemical processing industries. Rand Journal of Economics, 15, 213-228. Lim, J., Gan, B. and Chang, T. (2002), A Survey on NSS Adoption Intention, Proceedings of the 35th HICSS. Lim, L.K., and M. McAleer (2002), Economic Growth and Technological Catching Up by Singapore to the USA, Mathematics and Computers in Simulation, 59 (1-3), 133-141. Limayem, M., Cheung, C.M.K and Chan, G.W.W. (2003), Explaining Information Systems Adoption and Post-Adoption: Towards an Integrated Model, ICIS. Limayem, M. and Hirt, S. G. (2003), Force of Habit and Information Systems Usage: Theory and Initial Validation, Journal of the Association for Information Systems (4), Article 3. http://jais.isworld.org. Liu, Z. (2002), Foreign Direct Investment and Technology Spillover: Evidence from China, Journal of Comparative Economics, 30, 579–602. Lohmoller, Jan-Bernd (1981), LVPLS 1.6 Program Manual: Latent Variable Path Analysis with Partial Least Squares Estimation, University of the Federal Armed Forces, Munich. Loveman, G.W. (1994), An Assessment of the Productivity Impact of Information Technologies, in Information Technology and the Corporation of the 1990s: Research Studies, T. J. Allen and M. S. Scott Morton (eds.), Oxford University Press, New York, 84-110. Loungani, P. Mody, A., Razin, A. and Sadka, E. (2003), The Role of Information in Driving FDI: Theory and Evidence, Paper presented in the North American Winter Meeting of the Econometric Society on January 3-5, 2003. Lucas, R.E. (1988), On the Mechanics of Economic Development, Journal of Monetary Economics 22 (1), 3-42. Lucas, H.C. (1993), The business value of information technology: A historical perspective and thoughts for future research. R. Banker, R. Kauffman, M. A. Mahmood, eds. Strategic Information Technology Management, Idea Group, Harrisburg, PA, 359– 374. Lucas, H.C. and Spitler, V. (1999), Technology use and performance: a field study of broker workstations, Decision Sciences, 30 (2), 291-311. Lunn, J. (1980), Determinant of U.S. investment in the EEC: Further evidence, European Economic Review 13, 93-101. Lutz, G.M. (1983), Understanding Social Statistics. New York: Macmillan Publishing Co., Inc. 153 Lyytinen, K. and Hirschheim, R. (1987), Information Systems Failures: A Survey and Classification of the Empirical Literature, Oxford Surveys in Information Technology 4, 257-309. Maddala, G.S. (1992), Introduction to Econometrics, 2nd Edition, Prentice Hall. Madden, G. and Savage, S.J. (2000), R&D Spillovers, Information Technology and Telecommunications, and Productivity in Asia and the OECD. Information Economics and Policy, 367-392. Mahajan, J. and Vakharia, A J. (2003), Determining firm-level IT investments to facilitate value chain activities: Should spillovers accruing to value chain members be incorporated? European Journal of Operational Research, 156 (3), 665-682 Mahmood, M.A., and Mann, G.J. (2000), Special Issue: Impacts of Information Technology Investment on Organizational Performance, Journal of Management Information Systems, 16 (4), 3-10. Makki S.S. and A., Somwaru (2004), Impact of Foreign Direct Investment and Trade on Economic Growth: Evidence From Developing Countries, American Journal of Agricultural Economics, August, 795-801. Mankiw, N.G., Romer, D. and Weil, D.N. (1992), A Contribution to the Empirics of Economic Growth, Quarterly Journal of Economics 107, 407-437. Mansfield, E. (1968), Economics of Technological Change, Norton. Markusen J. and Venables A. (1999), Foreign direct investment as a catalyst for industrial development, European Economic Review 43, 335–56. Marwah, K., and L.R. Klein (1998), Economic growth and productivity gains from capital inflow: Some evidence for India, Journal of Quantitative Economics, 14 (1), 81–108. Marwah, K., and A. Tavakoli (2004), The effect of foreign capital and imports on economic growth: further evidence from four Asian countries (1970-1998), Journal of Asian Economics, 15 (2), 399-413. Matambalya F. and Wolf S. (2001), Performance of SMEs in East Africa: Case studies from Kenya and Tanzania. Bonn: Center for Development Research (ZEF). Mathieson, K. (1991), Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior, Information Systems Research 2, 173-191. McKinsey Global Instituute (2001), U.S. Productivity Growth 1995–2000: Understanding the Contribution of Information Technology Relative to Other Factors, McKinsey Global Institute, Washington. D.C. Middleton, C.A. (1999), Residential Broadband Networks: Preliminary Findings from a Canadian 'Information Highway' Trial, Proceedings of the 9th Workshop on Information Technologies And Systems, Charlotte, NC: WITS. Middleton, C.A. (2002a), Exploring consumer demand for networked services: The importance of content, connectivity and killer apps in the Diffusion of Broadband and Mobile services. In L. Applegate, R. Galliers & J. I. DeGross (Eds.), Proceedings of the Twenty-Third International Conference on Information Systems, 391-399, AIS. 154 Middleton, C.A. (2002b), Who Needs a ‘Killer App'? Two Perspectives on content in Residential Broadband Networks, Journal of Research and Practice in Information Technology, 34 (2), 6781. Middleton, C.A. (2003), What if there is no killer application? An exploration of a user-centric perspective on Broadband, Journal of Information Technology, 18(4), 231-245. Miller, J. and Doyle, B. A. (1987), Measuring the Effectiveness of Computer-Based Information System in the Financial Services Sector, MIS Quarterly, 11 (1), 107-124. Milana, C. and Zeli A. (2004), The Contribution of ICT to Production Efficiency in Italy: Firmlevel Evidence using Data Envelopment Analysis and Econometric Estimations in the Economic Impact of ICT; Measurement, Evidence, and Implications, OECD. Mingers, J. (2001), Combining IS Research Methods: Towards a Pluralist Methodology" Information Systems Research,12 (3), 240-259. Mody, A. (1997), Infrastructure Strategies in East Asia: The Untold Story. Washington, DC: World Bank. Mohnen, P. (2001), International R&D Spillovers and economic growth, in M.Pohjola (Ed.) Information Technology, Productivity and Economic Growth, Oxford University Press. Moudatsou A., (2001). Foreign Direct Investment and Economic growth: Evidence from 14 European Union countries, Pan-European Conference, Greece. Mukhopadhyay, T., Kekre, S., and Kalathur, S. (1995), Business value of information technology: A study of electronic data interchange, MIS Quarterly, 19 (2), 137-156. Nadiri, I. (1993), Innovations and Technological Spillovers, NBER Working Paper Series, 4423, Cambridge. Nain, Z. and Anuar, M.K. (1998), IT Strategies in Malaysia: The Multimedia Super Corridor, paper presented at the UNRISD Conference on Information Technologies and Social Development, Geneva, 22-23 June. http://www.unrisd.org/infotech/conferen/msc1.htm. Nair-Reichert, U., and D. Weinhold (2001), Causality tests for cross-country panels: A new look at FDI and economic growth in developing countries, Oxford Bulletin of Economics and Statistics, 63 (2), 153–171. Nelson, R. R. and Phelps, E. S. (1966), Investment in Humans, Technological Diffusion, and Economic Growth, American Economic Review 56 (2), 69-75. Newsted, P. R., Chin W., Ngwenyama O., and Lee A. (1996) Resolved: Surveys have Outlived their Usefulness in IS Research, Panel resented at the 1996 International Conference on Information Systems. Nirup, M.M., Byangtae, L., and Eldenburg, L. (2000), Productivity of information systems in the healthcare industry, Information Systems Research 11(1) 83–92. North, D.C. (1987), Institutions, transaction costs and economic growth, Oxford University Press, 25 (3), 419-28. North, D.C. (1990), Institutions, Institutional Change and Economic Performance, Cambridge, Cambridge University Press. 155 Nunnally, J.C. (1978), Psychometric Theory, 2nd Edition New York: McGraw- Hill Book Company. Nunnenkamp, P. (2004), To What Extent Can Foreign Direct Investment Help Achieve International Development Goals?, The World Economy, 27, 657-77. OECD (2000a), A New Economy? The Changing Role of Innovation and Information Technology in Growth, Paris. OECD (2000b), OECD Economic Outlook. OECD (2001), The Development of Broadband Access in OECD Countries (Working Party of Telecommunications and Information Services Parties). OECD (2002), Foreign DirectInvestment for Development: Maximising Benefits, Minimising Costs, Paris: OECD. OECD (2003a), OECD Communications Outlook, OECD, Paris OECD (2003), Information and Communications Technologies and Economic Growth: Evidence from OECD countries, industries and firms. Oh, S., Ahn, J. and Kim, B. (2003), Adoption of broadband Internet in Korea: the role of experience in building attitudes, Journal of Information Technology 18, 267–280. Oliner S. D. and, Sichel, D. E. (2000), The Resurgence of growth in the late 1990s: Is Information Technology the story? Journal of Economic Perspectives, 14 (4), 3-22. Oliner S. D. and, Sichel, D. E. (2002), Information Technology and Productivity: Where Are We Now and Where Are We Going? Economic Review,3(3), 15-41. Oliver, R. L. (1980), A Cognitive Model for the Antecedents and Consequences of Satisfaction, Journal of Marketing Research, 17, 460-469 Ouchi, W.G. (1980), Markets, Bureaucracies and Clans, Administrative Science Quarterly, 25, 129-141 Osterman, P. (1986), The Impact of Computers on the Employment of Clerks and Managers,” Industrial and Labor Relations Review,39, 175-186. Oulton, N. (2001), ICT and Productivity Growth in the United Kingdom, Bank of England Working Paper No. 140. Ouellette, J.A. and Wood, W. (1998), Habit and Intention in Everyday Life: The Multiple Processes by Which Past Behavior Predicts Future Behavior, Psychological Bulletin 124 (1), 5474. Pajarinen Ylä A. (2001), Countries Compete for Investment, Finnish Technology Attracts Foreign Firms (in Finnish, ”Maat kilpailevat investoinneista, teknologia vetää sijoituksia Suomeen”). ETLA B 173, Taloustieto Oy. Helsinki. Parham, D., Roberts, P. and Sun, H. (2001), Is Australia a new or old economy? Paper presented to 30th Annual Conference of Economists, Perth. Park J., Shin H., and Shin, S.K. (2003), Information Technology Investment and National Productivity Growth, ICIS 2003. 156 Parsons, D.J., Gotlieb, C.C. and Denny, M. (1990), Productivity and Computers in Canadian Banking, University of Toronto Dept. of Economics, Working Paper No. 9012. Patterson, P. G. and Spreng, R. A. (1997), Modeling the relationship between perceived value, satisfaction and repurchase intentions in a business-to-business, services context: an empirical examination, International Journal of Service Industry Management, 8, 414-434. Pavlou P., Chai L. (2002), What drivers Electronic Commerce across cultures? A cross-cultural empirical investigation of the Theory of Planned Behavior, Journal of Electronic Commerce Research, (4), 240-253. Peffers, K., Dos Sontos, B.L. (1996), Performance effects of innovative IT applications over time. IEEE Trans. Engrg. Management 43(4) 381–392. Peng, H.A., Qian, Z. and Yayun, J. (2003), Lessons in Broadband Adoption from Singapore, Journal of Interactive Advertising, (1), 180-195. Petrick, J. F., Morais, D. D. and Norman, W. C. (2001), An examination of entertainment vacationers’ intention to revisit, Journal of Travel Research, 40, 41-48. Piatkowski, M. (2002), The New Economy and Economic Growth in Transition Economies: The Relevance of Institutional Infrastructure, WIDER, Discussion Paper No. 2002/62. Pohjola, M. (2000), Information Technology and Economic Growth: A cross-country Analysis, The United Nations University, working paper No. 173. Quah D.T. (2001), ICT clusters in development: Theory and evidence, London School of Economics Working Paper, London, UK. Rai, A., Lang, S. S. and Welker, R. B. (2002), Assessing the validity of IS success models: an empirical test and theoretical analysis, Information Systems Research, 13, 50- 69. Reynolds, T., Kenny, C. and Qiang, C. (2001), Networking and FDI, mimeo, Washington DC: World Bank. Riemenschneider, C.K.D., Harrison, A., Mykytyn, J. and Peter, P. (2003), Understanding it adoption decisions in small business: integrating current theories, Information & Management 40(4), 269-285. Roach, S. (1987), American’s technology dilemma: a profile of the information economy, Special Economic Study - Morgan Stanley, New York, September 22. Roach, S. (1988), White-collar productivity: a glimmer of hope?, New York: Morgan Stanley.New York: Morgan Stanley. Rogers, E.M. (1995), Diffusion of Innovations, (4th ed.), New York, NY: The Free Press. Romer, P.M. (1986), Increasing Returns and Long-Run Growth, Journal of Political Economy, 94(5), 1002-37. Romer, P.M. (1990), Endogenous Technological Change, Journal of Political Economy 98 (5), 71-102. Romer, P.M. (1993), Idea gaps and object gaps in economic development, Journal of Monetary Economics 32(3), 543–73. 157 Romer, P.M. (1994), The origins of endogenous growth. Journal of Economic Perspectives, 8, 322. Root, F.R. and Ahmed, A.A. (1979), Empirical determinants of manufacturing direct foreign investment in developing countries, Economic Development and Structural Change 27, 751–67. Sarquis, J. B. (2003), Human Capital, External Effects and Technical Change London School of Economics and Ministry of External Relations, Brazil Jorge Saba Arbache, University of Brasilia, GDN – Cairo Salkind, N.J. (2000), Exploring Research, 4th edition, New Jersey: Prentice-Hall, Inc. Sawyer, S. Allen, J.P. and Lee, H. (2003), Broadband and mobile opportunities: a socio-technical perspective, Journal of Information Technology, 18 (2), 121-136. Schreyer, P. (2000), The Contribution of Information and Communication Technology to Output Growth: A Study of the G7 Countries, OECD STI Working Paper 2000/2. Schermehron, J.R.J.r., Hunt, J.G. and Osborn, P.R.N. (1998), Basic Organizational Behavior, 2nd Edition. New York: J. Wiley. Schneider, K. (1987), Services Hurt by Technology: Productivity Declining, New York Times. Shao, B. and Shu, W. S. (2004), Productivity Breakdown of the Information and Computing Technology Industries across Countries, Journal of the Operational Research Society, 55(1), 2333. Sims, C. (1972), Money, income and causality, American Economic Review 62: 540–52. Smith, A. (1776), Wealth of Nations: An Inquiry into the Nature and Causes. Spreng, R.A., MacKenzie, S.B., and Olshavsky, R.W. (1996), A reexamination of the determinants of consumer satisfaction, Journal of Marketing, 60, 15–32. Soh, C., and Markus, M.L. (1995), How IT creates business values: A process theory synthesis. In J.I. DeGross, G. Ariav, C. Beath, R. Hoyer, and C. Kemerer (eds.), Proceedings of the Sixteenth International Conference on Information Systems. Atlanta: AIS, 29–41. Solow, R.M. (1956), A Contribution to the Theory of Economic Growth, Quarterly Journal of Economics, 70, 65-94. Solow, R.M. (1987), We’d Better Watch Out, New York Times Book Review, July 12, p.36. Strassmann, P.A., (1985), Information Payoff: The Transformation of Work in the Electronic Age, Free Press, New York. Stiroh, K. J. (1999), Is There a New Economy, Challenge, July/August, 82-101. Stiroh, K. J. (2001), Information Technology and the U.S. Productivity Revival: What Do the Industry Data Say? Federal Reserve Bank of New York Staff Report No. 115. Stiroh, K. J. (2002a), Information technology and the U.S. productivity revival: What the industry data say? American Economic Review, 92 (5), 1559–1576. Stiroh, K. J. (2002b), Are ICT spillovers Driving the New Economy?, Review of Income and Wealth, 48(1), 33-57. 158 Sun, H. (1998), Macroeconomic impact of direct foreign investment in China: 1979–96, World Economy, 21, 5, 675–694. Swan, T.W. (1956), Economic Growth and Capital Accumulation, Economic Record, 32 (2), 334-61. Swan, J. E. and Trawick, I. F. (1981), Disconfirmation of expectations and satisfaction with a retail service, Journal of Retailing, 57, 40-67. Tashakkori, A., and Teddlie, C. (1998), Mixed Methodology: Combining Qualitative and Quantitative Approaches. Thousand Oaks, CA: Sage Publications. Taylor, S. and Todd P.A. (1995a), Understanding Information Technology Usage: A Test of Competing Models, Information Systems Research, (2), 144-176. Taylor, S. and Todd P.A. (1995b), Assessing IT Usage: The Role of Prior Experience, MIS Quarterly, 19(4), 561-570. Teece, D.J (1977), Technology Transfer by Multinational Firms: The Resource Cost of Transferring Technological Know-how, Economic Journal 87, 242-261. Temple, J. (2001), Generalizations that aren’t? Evidence on Education and Growth, European Economic Review 45 (4-6), 905-918. Teo, H. H., Bernard, T. C. Y., Wei, K. K., and Woo, L. Y. (1995), Reaping EDI benefits through a pro-active approach, Information & Management, 28 (3), 185-195. Tetsuya, I. (1998), Impact for Monetary Policy, MES 16, 2. of Information Technology and Implications Timmer, M.P., Ypma, G., and Van Ark, B. (2003), IT in the European Union: Driving Productivity Divergence?, Groningen Growth and Development Centre, University of Groningen. Thatcher, M.E. and J.R. Oliver, (2001), The Impact of Information Investments on a Firm’s Production Efficiency, Product Quality, and Productivity, Journal of Management Information Systems, 18 (2), 17-45. Tse, D.K. and Wilton PC (1988) Models of consumer satisfaction formation: An extension. Journal of Marketing Research, 25, 204–212. Turnovsky, S.J. (2002), Old and New Growth Theories: A Unifying Structure, in N. Salvador (ed.) Old and New Growth Theories: An Assessment, Edward Elgar, Cheltenham, U.K. UNCTAD (1994), World Investment Report. UNCTAD (1996), World Investment Report. UNCTAD (2000), World investment report: Cross-border merges and acquisitions and development, Geneva. UNCTAD (2003), World Investment Report: FDI Policies for Development, UNCTAD, Geneva. U.S. Department of Commerce (2002), Understanding Broadband demand: A Review of Critical Issues, Office of Technology Policy, September. 159 Van Ark, B. (2001), Renewal of the Old Economy: An International Comparative Perspective, OECD Directorate for Science, Technology and Industry, STI Working Paper No. 2001/5. Vecchi, M. and O'Mahony, M. (2002), In Search of an ICT Impact on TFP: Evidence from Industry Panel Data, paper provided by Royal Economic Society in its series Royal Economic Society Annual Conference 2003. Venkatesh, V and Davis, F.D. (2000), A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies, Management Science 46 (2), 186- 204. Venkatesh, V. and Brown, S.A. (2001), A Longitudinal Investigation of Personal Computer Adoption in Homes: Adoption Determinants and Emerging Challenges, MIS Quarterly, 25, 71102. Venkatesh, V., Speier, C. and Morris, M.G. (2002), User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model, Decision Sciences, 33 (2), 297-316. Venkatesh, V., Morris, M.G., Davis, G.B., and Davis, F.D. (2003), User Acceptance of Information Technology: Toward a Unified View, MIS Quarterly 27 (3), 425-478. Verspagen, B. and De Loo, I. (1999), Technology Spillovers between Sectors and over Time, Technological Forecasting and Social Change 60, 215-235. Ward, J. (2002), Peppard, Strategic Planning for Information Systems, Wiley Series in Information Systems, 3rd Edition Williamson, O. (1975), Markets and hierarchies: Analysis and Antitrust Implications, New York: Free Press. Williamson, O.E. (1995), Hierarchies, Markets and Power in the Economy: An Economic Perspective, Industrial and Corporate Change, 4, 21 – 49. Wold, H. (1982), Soft modeling – the basic design and some extensions, In K. Jöreskog and H. Wold (Eds.), Systems Under Indirect Observation II, Amsterdam: North-Holland Press, 1-53. Wolff, E.N. (2002), Productivity, computerization, and skill change, National Bureau of Economic Research, working paper, No. 8743. Wong, P.K. (2002), ICT Production and Diffusion in Asia: Digital Dividends or Digital Divide? , Information Economics and Policy, 14 (2), 167-187. World Bank (1998), Knowledge for Development. World Development Report, 1998/99. World Bank (1991), The Challenge of Development, World Development Report. The World Bank, Washington. D.C. World Bank (2001), The Effects of Telecommunications Infrastructure on Investment: An Empirical analysis. World Bank (2002), World Development Indicators, Washington DC: World Bank. Zmud, R. W. (1982), Diffusion of Modern Software Practices: Influence of Centralization and Formalization, Management Science 25 (10), 966-979 Zukowska-Gagelmann, K. (2002), Productivity Spillovers from Foreign Direct Investment in Poland, Economic Systems, 24 (3), 223-256. 160 Survey Questionnaire Dear Sir/Madam Dial-up connections to the Internet can handle only a small amount of information at a time by telephone lines, resulting in the frustratingly slow downloads. Broadband, such as ADSL or cable network, can handle a large amount of information simultaneously leading to much faster information transmission compared to dial-up connections. The impact on business productivity can be remarkable. This questionnaire is being administered to important organizations in Singapore as part of a research study on organizational Broadband Internet usage behavior. Being the key decisionmaker, your views on the issue of Broadband Internet continuance are extremely important. We assure you that all responses will be kept strictly confidential. Only group statistics will be published. Your responses will help formulate an understanding of the issues involved in Broadband Internet usage, which would have important policy implications. The success of this project therefore depends on your organization’s participation and response. As a token of our appreciation, a copy of our research findings report will be given to all respondents. We would appreciate if you could complete the questionnaire and return to us in the selfaddressed envelope by 15 April 2004. If you have any questions, please contact our research assistant, Ms. Roya Gholami, at 6874-2767. Thank you for your cooperation. Dr. John Lim Associate Professor Department of Information Systems National University of Singapore Dr. Tom Lee Assistant Professor Department of Information Systems National University of Singapore 27 February 2004 161 Survey on Broadband Internet Adoption The Broadband revolution has been acknowledged as the future of the Internet. Broadband Internet connectivity significantly improves the Internet experience through faster browsing of the web, emailing and downloading of files. Moreover there are some emerging applications, which require a broadband connection to make them usable in practice including Videoconferencing; Web casting; Content intensive e-commerce applications; Telecommuting and so on. Definition: According to the Infocomm Development Authority of Singapore (IDA), if your organization has access to Internet via any of the following types of connection you are a Broadband user. Please indicate the type of the connection(s) you are using in your organization, if applicable. [ ] Asymmetrical Digital Subscriber Line (ADSL) [ ] Cable Modem (e.g. Starhub Cable Vision) [ ] Leased Line/ ATM Link [ ] Integrated Services Digital Network (ISDN) [ ] Local Area Network (LAN) [ ] Wireless (LAN) Important Note: If your organization is a Broadband Adopter please answer the questions 1-5 based on your experience of Broadband Internet usage. If your organization is a Non-Adopter please answer questions 1-5 based on your expectations of Broadband Internet usage in future. Please circle the one selection that most represents your perspective for the question. 1. This section solicits your perception on the usefulness of Broadband Internet usage. Using Broadband Internet… Strongly Disagree a. Helps employees to accomplish tasks more quickly ----------- b. Improves job performance of employees -------------------------- c. Improves quality of work ------------------------------------------------ d. Makes it easier for employees to jobs -------------------------- e. Allows organization to accomplish more work ----------------- f. Enhances organization’s effectiveness ---------------------------- g. Gives organization greater control over work ------------------ h. Increases organization’s productivity ------------------------------ i. Is useful to your organization ------------------------------------------ 3 3 3 3 4 4 4 4 5 5 5 5 Strongly Agree 7 7 7 7 162 2. This section solicits your perception on your satisfaction of Broadband Internet usage. How you feel about your overall experience of Broadband Internet use? a. Dissatisfied--------- b. Displeased --------- c. Frustrated ---------- d. Terrible ------------ 2 2 3 3 4 4 5 5 6 6 7 7 ----------- Satisfied ------------ Pleased ------------ Contented ------------ Delighted 3. This section solicits your perception on the degree to which organization’s expectations about Broadband Internet usage are confirmed. Strongly Disagree Strongly Agree a. Experience with using Broadband Internet was better than what was expected --------------------------------------------- b. The benefits provided by Broadband Internet were better than what was expected --------------------------------------------- c. Overall, most of the expectations from using Broadband Internet were confirmed ------------------------------------------ 4. This section solicits your perceptions on your organization’s Broadband Internet continuance intention. All things considered… Strongly Unlikely Strongly Likely a. Organization would like to continue the usage of Broadband Internet during the next months ------------------------------------- b. Organization expects to continue using Broadband Internet during the next months ------------------------------------------------- c. It is likely that organization will continue to use Broadband Internet during the next months - ---------------------------------- 5. This question solicits your perception on your organization’s continuance pattern after initial adoption. During the last months in your organization, Broadband Internet has been used . a. Very intensively (many hours per day) ------------------ b. Very frequently (many times per day) ------------------- c. For a great variety of applications ------------------------ d. Overall a lot----------------------------------------------- Strongly Disagree 2 2 3 3 4 4 5 5 Strongly Agree 7 7 163 Demographic Information Please provide demographic information of your organization. a. Where is your organization’s country of origin? [] Australia/New Zealand [] Japan [] Joint Ventures [] Malaysia [] Singapore [] Taiwan [] United Kingdom [] Other European countries [] United States [] Others, please specify ---------------- b. What is your organization’s primary business activity? [] Computer Industry: Software Services/Consultants/Vendors [] Construction and Engineering [] Education [] Entertainment [] Finance: Banking/Insurance [] Food [] Manufacturing [] Medical and Legal Services [] Petroleum and Chemical [] Trade: Wholesale/Retail [] Transportation Services [] Travel, Tourism and Leisure Services [] Utilities and Communications [] Others, please specify ---------------c. How many employees are working in your organization? [] - 50 [] 750 – 999 [] 50 - 99 [] 100 –249 [] 1000 – 2499 [] 2500 – 4999 [] 250 – 499 [] 5000 – 9999 [] 500 – 749 [] 10000 or more d. What is your functional area? [] Accounts [] Finance [] Human Resources [] Information Systems [] Marketing [] Product Development [] Operations [] Research and Development [] Sales [] Strategic Planning [] Others, please specify --------------e. How long have you been working in this organization? [] years ≤ [] 1< years ≤ [] 15< years ≤ 20 [] 20< years ≤ 25 [] 5< years ≤ 10 [] 10< years ≤ 15 [] 25< years ≤ 30 [] 30 < years 164 f. What is your formal job title in the organization? [] President/CEO [] MIS Director [] Vice-President [] MIS Specialist [] Controller [] General Manager/Business Manager [] Other executives (depending on organization’s structure), please specify --------------- g. How long have you been in your current position? [] years ≤ [] 1< years ≤ [] 15< years ≤ 20 [] 20< years ≤ 25 [] 5< years ≤ 10 [] 25< years ≤ 30 [] 10< years ≤ 15 [] 30 < years h. How long is your experience of computer usage? [] years ≤ [] 1< years ≤ [] 5< years ≤ 10 [] 10< years ≤ 15 [] 15< years ≤ 20 [] 20< years ≤ 25 [] 25< years ≤ 30 [] 30 < years i. Which connectivity channel does your organization use to access Internet? [] No Access [] Dial-up i-1. How long has your organization used Dial-up Internet? [] months ≤ [] 1< month ≤ [] 12 < months ≤ 24 [] 24 < months ≤ 36 [] 6< month≤ 12 [] 36 < months [] Don’t know [] Broadband i-2. How long has your organization used Broadband Internet? [] months ≤ [] 1< month ≤ [] 12 < months ≤ 24 [] 24 < months ≤ 36 [] 6< month≤ 12 [] 36 < months [] Don’t know i-3. How long has your organization used dial-up Internet before adopting Broadband? [] No Access [] months ≤ [] 12 < months ≤ 24 [] 24 < months ≤ 36 [] 1< month ≤ [] 6< month≤ 12 [] 36 < months [] Don’t know Thank you for your cooperation 165 [...]... Information and Communication Technology (ICT) The acronym ICT is used to denote a concept which is a combination of two previously unrelated concepts, (1) information technology and (2) communication technology Information technology (IT) is the term used to describe the equipment and software elements that allow us to access, retrieve, store, organize, manipulate and present information by electronic... FDI and the well-known positive impacts of FDI inflows on national growth, little knowledge is available on the indirect impact of ICT on economic growth through the channel of FDI 1.4.1 Potential Contributions of the Study In section 2 “The Causal Relationship between Information and Communication Technology and Foreign Direct Investment”, we examine the existence and nature of any causal relationship... individual uptake and continuance In response, this study tries to identify the key drivers of Broadband Internet continuance in Singapore 1.6.1 Potential Contributions of the Study In the last section of this thesis ”Broadband Internet Post- Adoption we examine the factors influencing Broadband Internet continuance after initial adoption by conducting a survey on 1500 organizations in Singapore Therefore,... knowledge-based one According to the well-known management expert, Peter Drucker, “In today’s economy, the most important resource is no longer labor, capital, or land; it is knowledge” (Drucker, 1993) The rapid development and spread of information and communication technology (ICT) in the 1990s contributed to advancing industries and improving economic productivity of the countries and regions that embraced... Level - Lessons and Implications in the New Economy Although the positive association between ICT and growth is acknowledged (Miller et al., 1987; Brynjolfsson, 1993, 1996; Mukhopadhyay et al., 1995; Dewan and Min, 1997; Brynjolfsson and Hitt, 1995, 1996, 1998; Oliner and Sichel, 2000; Jorgenson and Stiroh, 2000a; Bosworth and Triplett, 2000; Nirup et al., 2000; Jorgenson, 2001; Council of Economic Advisers,... communication technology is still chronicled in many macroeconomic studies, because the impacts on productivity and economic growth have been much harder to detect Therefore, better measurement methods and definitions are definitely required for more precise appraisal, especially in the Internet and ecommerce era Jorgenson and Stiroh (2000) commented: “Only as the statistical agencies continue their... some lights on related policy making 1.4 The Causal Relationship between Information and Communication Technology and Foreign Direct Investment In economic growth literature, factors like savings and investment (in classical models), technical progress (in neo-classical models), R&D, human capital, accumulation and externalities (in new growth theory) have been recognized as the causes of economic growth... through the digitization of office work, and the availability of applications and notifications online as ICT is introduced into governments and the public sector ICT is contributing to improving people’s lives as it is increasingly being introduced into social sectors, such as through the diffusion of e-learning in the education sector In these ways, information and communication technology is a very... TFP The current study can help to address these questions, and provide new insights in the extent of ICT-related spillovers 1.5.1 Potential Contributions of the Study In section 3 “International Spillovers of Information and Communications Technology (ICT)”, we look for the non-traditional effect of ICT on productivity through spillover effects based on endogenous growth theory The other important objective... Communication technology (CT) is the term used to describe equipment, infrastructure, and software through which information can be received and accessed, for example phones, faxes, modems, digital networks, and DSL lines ICT is then the result of the convergence of IT and CT technologies One early example of ICT convergence is the crossing of photocopy machine and telephone, leading to the creation . ESSAYS ON INFORMATION AND COMMUNICATION TECHNOLOGY: INVESTMENT, POST- ADOPTION, AND ECONOMIC IMPACTS ROYA (ROGHIEH) GHOLAMI (B.Sc. K.N. Toosi University of Technology) . Definition of Information and Communication Technology (ICT) The acronym ICT is used to denote a concept which is a combination of two previously unrelated concepts, (1) information technology and. Economy, Information and Management, 42, 1009–1022. 2. Roghieh Gholami, Sang-Yong Tom Lee, and Almas Heshmati (2006), The Causal Relationship between Information and Communication Technology and

Ngày đăng: 12/09/2015, 10:52

Từ khóa liên quan

Tài liệu cùng người dùng

Tài liệu liên quan