Managing the transition of technology life cycle

Kim, B.

doi:10.1016/s0166-4972(02)00168-2

Cited by 76Innovation Diffusion and ForecastingTechnology Assessment and ManagementTransportation Systems and Infrastructure

Managing the transition of technology life cycle

Kim, B.·2003·Technovation

DOI 10.1016/s0166-4972(02)00168-2

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1016/s0166-4972(02)00168-2

Cites

36 of 36 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Each generation of technology is expected to comply with a PLC-style life cycle.
“Thus, each generation of technology is expected to comply with a PLC-style life cycle [109].”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [109]
A macro-level perspective is needed when exploring CE-I4.0 integration through the dynamics of the technology life cycle.
“Hence, for research that integrates CE into Industry 4.0 by means of understanding the utilized technologies, it can be argued that a macro-level perspective is needed when exploring this theme through the dynamics of the TLC [109].”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [109]

Technological paradigms and technological trajectories
Dosi, G. (1982) · Research Policy · doi:10.1016/0048-7333(82)90016-6 · Cited by 6,685 · see citing works
Sources, Procedures, and Microeconomic Effects of Innovation
Giovanni Dosi, A. (2000) · Edward Elgar Publishing eBooks · doi:10.4337/9781782541851.00008 · Cited by 4,246 · see citing works
Formal aspects of model validity and validation in system dynamics
Barlas, Y. (1996) · System Dynamics Review · doi:10.1002/(sici)1099-1727(199623)12:3 · Cited by 1,581 · see citing works
Explaining the attacker's advantage: Technological paradigms, organizational dynamics, and the value network
Christensen, C. M., & Rosenbloom, R. S. (1995) · Research Policy · doi:10.1016/0048-7333(93)00764-k · Cited by 1,053 · see citing works
Operations Management for Competitive Advantage
Chase, R. B., Jacobs, F. R., & Aquilano, N. J. (2000) · Cited by 640 · see citing works
Standardization in technology-based markets
Tassey, G. (2000) · Research Policy · doi:10.1016/s0048-7333(99)00091-8 · Cited by 465 · see citing works
Understanding the process of knowledge transfer to achieve successful technological innovation
Gilbert, M., & Cordey‐Hayes, M. (1996) · Technovation · doi:10.1016/0166-4972(96)00012-0 · Cited by 386 · see citing works
The Product Life Cycle: Analysis and Applications Issues
Day, G. S. (1981) · Journal of Marketing · doi:10.1177/002224298104500408 · Cited by 382 · see citing works
The dynamics of technological innovation: the case of the pharmaceutical industry
Achilladelis, B., & Antonakis, N. (2001) · Research Policy · doi:10.1016/s0048-7333(00)00093-7 · Cited by 339 · see citing works
Expert knowledge elicitation to improve formal and mental models
Ford, D. N., & Sterman, J. D. (1998) · System Dynamics Review · doi:10.1002/(sici)1099-1727(199824)14:4 · Cited by 301 · see citing works
Empirical Generalizations and Marketing Science: A Personal View
Bass, F. M. (1995) · Marketing Science · doi:10.1287/mksc.14.3.g6 · Cited by 236 · see citing works
A complexity approach to innovation networks. The case of the aircraft industry (1909–1997)
Frenken, K. (2000) · Research Policy · doi:10.1016/s0048-7333(99)00064-5 · Cited by 221 · see citing works
Is product life cycle theory a special case? Dominant designs and the emergence of market niches through coevolutionary-learning
Windrum, P., & Birchenhall, C. R. (1998) · Structural Change and Economic Dynamics · doi:10.1016/s0954-349x(97)00039-8 · Cited by 196 · see citing works
The Product Life Cycle: Analysis and Applications Issues
Day, G. S. (1981) · Journal of Marketing · doi:10.2307/1251472 · Cited by 175 · see citing works
Innovation regimes, R&D and radical innovations in telecommunications
Godoe, H. (2000) · Research Policy · doi:10.1016/s0048-7333(99)00051-7 · Cited by 159 · see citing works
Modeling industrial dynamics with innovative entrants
Winter, S. G., Kaniovski, Y. M., & Dosi, G. (2000) · Structural Change and Economic Dynamics · doi:10.1016/s0954-349x(99)00010-7 · Cited by 115 · see citing works
Technological innovations: a framework for communicating diffusion effects
Carter, F. J., Jambulingam, T., Gupta, V. K., & Melone, N. P. (2001) · Information & Management · doi:10.1016/s0378-7206(00)00065-3 · Cited by 114 · see citing works
Intersectoral innovation flows and national technological systems: network analysis for comparing Italy and Germany
Leoncini, R., Maggioni, M. A., & Montresor, S. (1996) · Research Policy · doi:10.1016/0048-7333(95)00843-8 · Cited by 113 · see citing works
Technological infrastructure policy (TIP): Creating capabilities and building markets
Justman, M., & Teubal, M. (1995) · Research Policy · doi:10.1016/0048-7333(93)00765-l · Cited by 101 · see citing works
A Test for the Product Life Cycle
Brockhoff, K. K. L. (1967) · Econometrica · doi:10.2307/1905649 · Cited by 80 · see citing works
Patterns of technological change among Spanish innovative firms: the case of the Madrid region
Molero, J., & Buesa, M. (1996) · Research Policy · doi:10.1016/0048-7333(95)00873-x · Cited by 73 · see citing works
Toward a Theory of the Product Life Cycle: Explaining Diversity
Midgley, D. F. (1981) · Journal of Marketing · doi:10.1177/002224298104500414 · Cited by 52 · see citing works
Innovation, market performance, and competition: lessons from a product life cycle model
Werker, C. (2003) · Technovation · doi:10.1016/s0166-4972(01)00109-2 · Cited by 51 · see citing works
The evolution of market structure in semiconductors: the role of product standards
Gruber, H. (2000) · Research Policy · doi:10.1016/s0048-7333(99)00046-3 · Cited by 48 · see citing works
Product life cycle patterns for pharmaceuticals and their impact on R&D profitability of late mover products
Bauer, H. H., & Fischer, M. (2000) · International Business Review · doi:10.1016/s0969-5931(00)00028-7 · Cited by 44 · see citing works
Modeling the Product Life Cycle for Consumer Durables
Harrell, S. G., & Taylor, E. D. (1981) · Journal of Marketing · doi:10.1177/002224298104500409 · Cited by 41 · see citing works
The Emergence of an Industrial Infrastructure for Technological Innovation
de Ven, A. H. V. (1993) · Journal of Comparative Economics · doi:10.1006/jcec.1993.1029 · Cited by 40 · see citing works
Product Life Cycle, and Market Entry and Exit Decisions Under Uncertainty
Chi, T., & Liu, J. (2001) · IIE Transactions · doi:10.1023/a:1010901813523 · Cited by 39 · see citing works
Product Recycle patterns for new industrial products
Easingwood, C. J. (1988) · R and D Management · doi:10.1111/j.1467-9310.1988.tb00560.x · Cited by 36 · see citing works
The nature of long-run technological change: innovation, evolution and technological systems
Leoncini, R. (1998) · Research Policy · doi:10.1016/s0048-7333(98)00025-0 · Cited by 36 · see citing works
Toward a Theory of the Product Life Cycle: Explaining Diversity
Midgley, D. F. (1981) · Journal of Marketing · doi:10.2307/1251478 · Cited by 33 · see citing works
Modeling the Product Life Cycle for Consumer Durables
Harrell, S. G., & Taylor, E. D. (1981) · Journal of Marketing · doi:10.2307/1251473 · Cited by 24 · see citing works
A dynamic analysis of the relations between the structure and the process of National Systems of Innovation using computer simulation; the case of the Dutch biotechnological sector
Janszen, F. H. A., & Degenaars, G. H. (1998) · Research Policy · doi:10.1016/s0048-7333(98)00023-7 · Cited by 22 · see citing works
Technological innovation and the U.S. banking industry: Innovation in the U.S. retail and wholesale banking sectors
Whaling, C. L. (1996) · Technology in Society · doi:10.1016/s0160-791x(96)00027-9 · Cited by 12 · see citing works
Product life cycle, and market entry and exit decisions under uncertainty
Chi, T., & LIU, J. (2001) · IIE Transactions · doi:10.1080/07408170108936866 · Cited by 8 · see citing works
Product development in the late stages of a technology life cycle: lessons from the America’s Cup 1995
Rhyne, L. C. (1996) · Journal of Product & Brand Management · doi:10.1108/10610429610119450 · Cited by 3 · see citing works

Flagged first, then by citations

Sorted by citations

Architectural Leverage: Putting Platforms in Context
Thomas, L. D. W., Autio, E., & Gann, D. M. (2014) · Academy of Management Perspectives · doi:10.5465/amp.2011.0105 · Cited by 639 · see citing works
Information and digital technologies of Industry 4.0 and Lean supply chain management: a systematic literature review
Núñez‐Merino, M., Marín, J. M. M., Moyano‐Fuentes, J., & Martínez‐Jurado, P. J. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1743896 · Cited by 407 · see citing works
Digitisation and the Circular Economy: A Review of Current Research and Future Trends
Okorie, O., Salonitis, K., Charnley, F., Moreno, M., Turner, C., & Tiwari, A. (2018) · Energies · doi:10.3390/en11113009 · Cited by 283 · see citing works
The technology life cycle: Conceptualization and managerial implications
Taylor, M., & Taylor, A. (2012) · International Journal of Production Economics · doi:10.1016/j.ijpe.2012.07.006 · Cited by 170 · see citing works
The link between information and digital technologies of industry 4.0 and agile supply chain: Mapping current research and establishing new research avenues
Dias, D. D. O., Marín, J. M. M., & Moyano‐Fuentes, J. (2022) · Computers & Industrial Engineering · doi:10.1016/j.cie.2022.108000 · Cited by 169 · see citing works
Drivers and consequences of an innovative technology assimilation in the supply chain: cloud computing and supply chain integration
Manuel Maqueira, J., Moyano-Fuentes, J., & Bruque, S. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1530473 · Cited by 94 · see citing works
Municipal demand-side policy tools and the strategic management of technology life cycles
Cohen, B. D., & Amorós, J. E. (2014) · Technovation · doi:10.1016/j.technovation.2014.07.001 · Cited by 92 · see citing works
Stochastic technology life cycle analysis using multiple patent indicators
Lee, C., Kim, J., Kwon, O.-J., & Woo, H. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.01.024 · Cited by 83 · see citing works
An integrated process for forming manufacturing technology acquisition decisions
Baines, T. S. (2004) · International Journal of Operations & Production Management · doi:10.1108/01443570410532533 · Cited by 63 · see citing works
A system dynamics approach to technology sustainability assessment: The case of biodiesel developments in South Africa
Musango, J. K., Brent, A. C., Amigun, B., Pretorius, L., & Müller, H. P. (2012) · Technovation · doi:10.1016/j.technovation.2012.06.003 · Cited by 62 · see citing works
Developing and validating a model explaining the assimilation process of RFID: An empirical study
Hossain, M. A., Quaddus, M., & Islam, N. (2016) · Information Systems Frontiers · doi:10.1007/s10796-014-9537-y · Cited by 57 · see citing works
A technology selection framework for integrating manufacturing within a supply chain
Farooq, S., & O’Brien, C. (2011) · International Journal of Production Research · doi:10.1080/00207543.2011.588265 · Cited by 48 · see citing works
Conceptual definition of technology emergence: A long journey from philosophy of science to science policy
Burmaoğlu, S., Sartenaer, O., & Porter, A. L. (2019) · Technology in Society · doi:10.1016/j.techsoc.2019.04.002 · Cited by 44 · see citing works
Lean and agile supply chain strategies: the role of mature and emerging information technologies
de Oliveira-Dias, D., Maqueira-Marín, J. M., & Moyano-Fuentes, J. (2022) · International Journal of Logistics Management · doi:10.1108/ijlm-05-2022-0235 · Cited by 34 · see citing works
Risk calculations in the manufacturing technology selection process
Farooq, S., & O’Brien, C. (2009) · Journal of Manufacturing Technology Management · doi:10.1108/17410381011011470 · Cited by 39 · see citing works
Using technological entropy to identify technology life cycle
Lin, D., Liu, W., Guo, Y., & Meyer, M. S. (2021) · Journal of Informetrics · doi:10.1016/j.joi.2021.101137 · Cited by 37 · see citing works
Measurement of depreciation rate of technological knowledge : Technology cycle time approach
Park, G., Shin, J., & Park, Y. (2006) · Journal of Scientific & Industrial Research · Cited by 36 · see citing works
Organizational Resistance to Automation Success: How Status Quo Bias Influences Organizational Resistance to an Automated Workflow System in a Public Organization
Ibrahim Almatrodi, N. A., Li, F., & Alojail, M. (2023) · Systems · doi:10.3390/systems11040191 · Cited by 31 · see citing works
Patterns of technology life cycles: stochastic analysis based on patent citations
Lee, C., Kim, J., Noh, M., Woo, H., & Gang, K. (2016) · Technology Analysis and Strategic Management · doi:10.1080/09537325.2016.1194974 · Cited by 30 · see citing works
Where and how does a product evolve? Product innovation pattern in product lineage
Jeong, D., & Lee, J. (2024) · Technovation · doi:10.1016/j.technovation.2024.102958 · Cited by 29 · see citing works
Technological adoption and use after mass market displacement: The case of the LP record
Nokelainen, T. S., & Dedehayir, O. (2014) · Technovation · doi:10.1016/j.technovation.2014.10.006 · Cited by 26 · see citing works
Performance, farmer perception, and the routinisation (RO) moderation on ERP post-implementation
Júnior, C. H., Oliveira, T., Yanaze, M. H., & Spers, E. E. (2019) · Heliyon · doi:10.1016/j.heliyon.2019.e01784 · Cited by 27 · see citing works
Marrying the Best of Both Worlds: An Integrated Framework for Matching Technology Transfer Sources and Recipients
Liu, H.-Y., Subramanian, A. M., & Hang, C.-C. (2018) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2018.2858812 · Cited by 21 · see citing works
Forecasting technology substitution based on hazard function
Jeong, Y., Park, I., & Yoon, B. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.01.014 · Cited by 21 · see citing works
Dynamics of Industry Consolidation and Sustainable Competitive Strategy: Is Birthright Irrevocable?
Kim, B., & Park, K. (2006) · Long Range Planning · doi:10.1016/j.lrp.2006.08.002 · Cited by 21 · see citing works
Self-citation
Knowledge Transfer Performance of Industry-University-Research Institute Collaboration in China: The Moderating Effect of Partner Difference
Li, Z., & Zhu, G. (2021) · Sustainability · doi:10.3390/su132313202 · Cited by 20 · see citing works
Minimizing Cost Overrun in Rail Projects through 5D-BIM: A Systematic Literature Review
Hussain, O. A. I., Moehler, R., Walsh, S. D. C., & Ahiaga-Dagbui, D. D. (2023) · Infrastructures · doi:10.3390/infrastructures8050093 · Cited by 27 · see citing works
A multi-level model of emerging technology: An empirical study of the evolution of biotechnology from 1976 to 2003
van den Oord, A., & van Witteloostuijn, A. C. (2018) · PLoS ONE · doi:10.1371/journal.pone.0197024 · Cited by 20 · see citing works
Development of an integrated model for RFID extension
Hossain, M. A. (2014) · Business Process Management Journal · doi:10.1108/bpmj-04-2013-0055 · Cited by 16 · see citing works
Detecting technological maturity from bibliometric patterns
Cauthen, K., Rai, P., Hale, N., Freeman, L., & Ray, J. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.117177 · Cited by 15 · see citing works
Absorbing knowledge from an emerging field: The role of interfacing by proponents in big pharma
Romasanta, A. K. S., van der Sijde, P., & de Esch, I. J. P. (2021) · Technovation · doi:10.1016/j.technovation.2021.102363 · Cited by 14 · see citing works
Investigating Long-Term Technological Competitiveness: Originality, Generality, and Longevity
Lee, P.-C. (2021) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2021.3058178 · Cited by 14 · see citing works
Formulating directional industry strategies for renewable energies in developing countries: The case study of Iran’s wind turbine industry
Moghaddam, N. B., Mousavi, S. M., Moallemi, E. A., & Nasiri, M. (2011) · Renewable Energy · doi:10.1016/j.renene.2011.08.052 · Cited by 14 · see citing works
How to analyze technology lifecycle from the perspective of patent characteristics? the cases of DVDs and hard drives
Su, H. (2017) · R and D Management · doi:10.1111/radm.12279 · Cited by 13 · see citing works
Towards continuous innovation for regional high-tech industrial clusters
Xie, X., Zeng, S., & Tam, C. M. (2011) · Innovation · doi:10.5172/impp.2011.13.3.361 · Cited by 13 · see citing works
Opportunities and Challenges in the Metaverse and NFTs for Business Model Innovation: A Managerial Point of View
Bartoli, C., Fasano, F., Cappa, F., & Boccardelli, P. (2025) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2025.3560910 · Cited by 12 · see citing works
Analyzing the buyer supplier relationship factors: an integrated modeling approach
Subramanian, C., Muralidharan, C., & Govind, D. S. (2010) · International Journal of Management Science and Engineering Management · doi:10.1080/17509653.2010.10671120 · Cited by 12 · see citing works
Exploring the interplay between intellectual property models and sustainability transitions: A multi‐level analysis
Jain, A., Gurtoo, A., Eppinger, E., Vimalnath, P., & Tietze, P. D. F. (2024) · Business Strategy and the Environment · doi:10.1002/bse.3851 · Cited by 11 · see citing works
Maturity assessment of green patent clusters: Methodological implications
Mazaheri, M., Roca, J. B., Markus, A., Tur, E. M., & Walrave, B. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123813 · Cited by 11 · see citing works
Controlled Continuous Deployment: A Case Study From The Telecommunications Domain
Dakkak, A., Bosch, J., & Olsson, H. H. (2022) · doi:10.1145/3529320.3529323 · Cited by 11 · see citing works
Analysis of the Technological Convergence in Smart Textiles
Xu, Q., Yu, Y., & Yu, X. (2022) · Sustainability · doi:10.3390/su142013451 · Cited by 9 · see citing works
Small and medium enterprises meet the metaverse. A study of the wine industry
Bartoli, C., Baccelloni, A., Mattiacci, A., & Ungaro, L. (2024) · The International Journal of Entrepreneurship and Innovation · doi:10.1177/14657503241278164 · Cited by 9 · see citing works
The impact of spectrum policies on the secondary spectrum market: A system dynamics approach
Song, H. S., Kim, T., & Kim, T. (2017) · Telecommunications Policy · doi:10.1016/j.telpol.2017.04.004 · Cited by 9 · see citing works
Product Life Cycle, Technology Life Cycle and Market Life Cycle: Similarities, Differences and Applications
Shahmarichatghieh, M., Tolonen, A., & Haapasalo, H. J. O. (2015) · RePEc: Research Papers in Economics · Cited by 9 · see citing works
An inquiry into the nature and causes of digital platforms
Saarikko, T. (2016) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 9 · see citing works
INTELLECTUAL PROPERTY MANAGEMENT MODEL IN ENTERPRISES: A TECHNOLOGY LIFE CYCLE PERSPECTIVE
Cao, Y., & Zhao, L. (2011) · International Journal of Innovation and Technology Management · doi:10.1142/s0219877011002283 · Cited by 8 · see citing works
Adoption readiness in service innovation: the case of digital money
Thomas, L. D. W., Vernet, A., & Gann, D. (2016) · Industry and Innovation · doi:10.1080/13662716.2016.1156519 · Cited by 7 · see citing works
Acquiring late mover advantage through secondary innovation
Wu, X., Xu, G., & Zheng, S. (2005) · IEEE International Engineering Management Conference (IEMC) · doi:10.1109/iemc.2004.1407147 · Cited by 7 · see citing works
Empresa inovadora de base tecnológica: um modelo de desenvolvimento para o contexto brasileiro.
NAKAGAWA, M. H. (2008) · doi:10.11606/t.3.2008.tde-18082009-150845 · Cited by 7 · see citing works
Quantitative model of the technology lifecycle for forecasting the maturity of manufacturing technologies
Greitemann, J., Stahl, B., Michels, N., Lohmann, B., & Reinhart, G. (2014) · IEEE International Conference on Management of Innovation and Technology (ICMIT) · doi:10.1109/icmit.2014.6942440 · Cited by 6 · see citing works
THE INTERSECTION OF INTELLECTUAL PROPERTY RIGHTS AND INNOVATION POLICY MAKING – A LITERATURE REVIEW
Edler, J., Cameron, H., & Hajhashem, M. (2015) · Research Explorer (The University of Manchester) · Cited by 6 · see citing works
Study on 2G Termination in Indonesia using BCG Matrix
Fadrian, A., & Arifin, A. S. (2018) · International Conference on Information Technology, Computer, and Electrical Engineering · doi:10.1109/icitacee.2018.8576904 · Cited by 5 · see citing works
Industry chain risks for the diffusion of low-carbon technologies in the cement industry
Yu, B., Fu, J., Dai, Y., Luo, X., Chen, Y., Wu, Y., & Wei, Y. (2025) · Journal of Environmental Management · doi:10.1016/j.jenvman.2025.125404 · Cited by 4 · see citing works
The emergence of the outsourcing market and product technological performance
Huang, S. K. (2013) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2013.06.006 · Cited by 4 · see citing works
Analysis and forecast of textile industry technology innovation capability in China
Xu, Q., Cheng, H., & Yu, Y. (2021) · Industria Textila · doi:10.35530/it.072.02.1759 · Cited by 4 · see citing works
Selecting the best ABS sensor technology using fuzzy MADM
Elahi, M. (2011) · Scientific Research and Essays · doi:10.5897/sre11.1079 · Cited by 4 · see citing works
CONCEPTUAL ASPECTS OF CONSTRUCTING AND INTERPRETING OF DIGITAL TRANSFORMATION INDICES FOR MANUFACTURING ENTERPRISES
Ilkevich, S. (2024) · Strategic decisions and risk management · doi:10.17747/2618-947x-2024-1-30-45 · Cited by 3 · see citing works
Artificial Intelligence Service and Customer Loyalty: A Moderated Mediation Role of Satisfaction and Contextual Factors in Human-AI Interaction
Gao, H. L., Liu, H., Zhang, H., & Xu, W. (2026) · SAGE Open · doi:10.1177/21582440261416217 · Cited by 5 · see citing works
Understanding migration strategies by decoupling application roles and technology generations
Mårtensson, A., & Valiente, P. (2004) · Technovation · doi:10.1016/j.technovation.2004.11.004 · Cited by 2 · see citing works
An innovation diffusion model for new mobile technologies acceptance
Barkoczia, N., Lakatos, E. S., & Bacali, L. A. (2017) · MATEC Web of Conferences · doi:10.1051/matecconf/201713707001 · Cited by 2 · see citing works
Hot technology and technical evolution of polypeptide nanotechnology in medical application field based on patent data analysis
Zhao, K., Wu, T. S., Wei, D., & Yuan, H. (2024) · Journal of Nanoparticle Research · doi:10.1007/s11051-024-06055-7 · Cited by 1 · see citing works
Ecosystem-Based Digitalization and the Hub Firm’s Innovation Performance: A System Dynamics Approach from the Modular Architecture Perspective
Zheng, S., Wang, H., & An, Y. (2025) · Journal of the Knowledge Economy · doi:10.1007/s13132-024-02534-3 · Cited by 1 · see citing works
Strategic group analysis of the flexible display industry using patent value depreciation model
Chou, Y. C., Yang, C. H., & Pao, C. W. (2012) · International Journal of Technology Transfer and Commercialisation · doi:10.1504/ijttc.2012.052419 · Cited by 1 · see citing works
Semiconductor Foundry Technology Life Cycle Strategy Portfolio Definitions of Fabless IC Design Firms by Using the ISM and Fuzzy Integral Method
Huang, C.-Y., Lai, C.-Y., & Tzeng, G. (2010) · Smart innovation, systems and technologies · doi:10.1007/978-3-642-14616-9_65 · Cited by 1 · see citing works
Introduction to Part 4
Schou, C. (2022) · Springer eBooks · doi:10.1007/978-3-031-15428-7_24 · Cited by 1 · see citing works
FORMATION OF A RECOMMENDATION SYSTEM FOR THE "SMART REGION" FOR THE PURPOSE OF CHOOSING INFORMATION TECHNOLOGIES AND THEIR IMPLEMENTATION WHEN CREATING APPLICATIONS
Kunanets, N. E., Fedorka, P., & Kut, V. (2023) · Bulletin of National Technical University KhPI Series System Analysis Control and Information Technologies · doi:10.20998/2079-0023.2023.01.05 · Cited by 1 · see citing works
Technologische Vorausschau für die Gesundheitsversorgung – methodische Ansätze zur Bewertung von Zukunftstechnologien
Köbe, P. (2024) · Springer eBooks · doi:10.1007/978-3-658-43860-9_14 · Cited by 1 · see citing works
Short Term and Long Term Forecasting Of Cloud Computing Using Multiple Indicators.
Adamuthe, A. C., & Thampi, G. T. (2019) · Cited by 1 · see citing works
Notice of Retraction: Research on Management of Intellectual Property in Enterprises Based on Technology Life Cycle
Cao, Y., & Zhao, L. (2009) · International Conference on Management and Service Science (MASS) · doi:10.1109/icmss.2009.5305090
Retracted
A fuzzy integral based FMCDM framework for semiconductor foundry strategy definitions at various stages of a technology life cycle
Huang, C.-Y., Lai, C.-Y., Tzeng, G., & Chen, H. (2010) · Portland International Conference on Management of Engineering and Technology (PICMET)
How to create an organizational culture that promotes innovation - a case study at Siemens Industrial Turbomachinery AB
Andersson, L., & Andersson, I. (2009) · Lund University Publications Student Papers (Lund University)
Decoupling Application Roles and Technology Generations: A Life Cycle Approach
Mårtensson, A., & Valiente, P. (2004) · Journal of the Association for Information Systems
Why Do People Switch to New Technologies? : Proposing a Conceptual Model to Explain Technology Transition
Thakurta, R., Urbach, N., & Basu, A. (2012) · ERef Bayreuth (University of Bayreuth)
Rekabet istihbaratı ve strateji ilişkisi: Örnek olay analizi
Algül, M. E. (2019)
Leading Indicators for Detecting Change of Technology Trends: Comparison of Patents, Papers and Newspaper Articles in Japan and US
Maeno, T., Iwasawa, Y., & Matsuo, Y. (2021) · International Journal of Innovation and Technology Management · doi:10.1142/s0219877021500176
Time-Based Innovation Adoption: A Systematic Literature Review of Enablers and Barriers
Mustikasari, A., & Wijaya, T. (2025) · Journal of Information & Knowledge Management · doi:10.1142/s0219649225300049

Authors: Kim, B.
Affiliations: Korea Advanced Institute of Science and Technology (KR)
Corresponding author: Kim, B.
ORCID: Kim, B.
Venue: Technovation
Publisher: Elsevier BV
Published: 2003-05
Volume: 23
Issue: 5
Pages: 371-381
ISSN: 0166-4972 (ISSN-L)
DOI: 10.1016/s0166-4972(02)00168-2
OpenAlex: W1996711859
Cited by: 76
References: 34
Citations by year: 2026: 1 · 2025: 4 · 2024: 7 · 2023: 3 · 2022: 6 · 2021: 6 · 2020: 1 · 2019: 4 · 2018: 5 · 2017: 3 · 2016: 5 · 2015: 2 · 2014: 6 · 2013: 1 · 2012: 4
FWCI: 3.02
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Technovation (publishedVersion)
KAIST Institutional Repository (KAIST) (submittedVersion)
Topics: Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Technology Assessment and Management
Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Transportation Systems and Infrastructure
Keywords: technology life cycle, technological change, technology generation, technology platforms, technological paradigms, switching time, technological uncertainty, switching costs, economic utility, analytical model, simulation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Managing the transition of technology life cycle

Integrity signals

Claims the paper makes

Claims other papers make about this one

Cites

Cited by

Related

Record

About these checks