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Diffusion models of mobile telephony
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Cited by:
- Qian, Lixian & Soopramanien, Didier, 2014. "Using diffusion models to forecast market size in emerging markets with applications to the Chinese car market," Journal of Business Research, Elsevier, vol. 67(6), pages 1226-1232.
- Baburin, Vyacheslav & Zemtsov, Stepan, 2014. "Diffussion of ICT-products and "five Russias"," MPRA Paper 68926, University Library of Munich, Germany, revised 10 May 2014.
- Annafari, Mohammad Tsani, 2013. "Multiple subscriptions of mobile telephony: Explaining the diffusion pattern using sampling data," Telecommunications Policy, Elsevier, vol. 37(10), pages 930-939.
- Lee, Chul-Yong & Huh, Sung-Yoon, 2017. "Forecasting the diffusion of renewable electricity considering the impact of policy and oil prices: The case of South Korea," Applied Energy, Elsevier, vol. 197(C), pages 29-39.
- João A. Bastos, 2019.
"Forecasting the capacity of mobile networks,"
Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(2), pages 231-242, October.
- Bastos, João A., 2019. "Forecasting the capacity of mobile networks," MPRA Paper 92727, University Library of Munich, Germany.
- Thakur Dhakal & Dae-Eun Lim, 2020. "Understanding ICT adoption in SAARC member countries," Letters in Spatial and Resource Sciences, Springer, vol. 13(1), pages 67-80, April.
- Elias Aravantinos & Dimitris Varoutas, 2022.
"A revisit of fixed and mobile broadband diffusion in the OECD: a new classification,"
Netnomics, Springer, vol. 22(2), pages 71-84, October.
- Elias Aravantinos & Dimitris Varoutas, 2021. "A revisit of fixed and mobile broadband diffusion in the OECD: a new classification," Netnomics, Springer, vol. 22(2), pages 71-84, December.
- Marinakis, Yorgos D., 2012. "Forecasting technology diffusion with the Richards model," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 172-179.
- Lin, Chiun-Sin, 2013. "Forecasting and analyzing the competitive diffusion of mobile cellular broadband and fixed broadband in Taiwan with limited historical data," Economic Modelling, Elsevier, vol. 35(C), pages 207-213.
- Zhang, Xiaoqun, 2013. "Income disparity and digital divide: The Internet Consumption Model and cross-country empirical research," Telecommunications Policy, Elsevier, vol. 37(6), pages 515-529.
- Rządkowski Grzegorz & Głażewska Iwona & Sawińska Katarzyna, 2015. "The Gompertz Function And Its Applications In Management," Foundations of Management, Sciendo, vol. 7(1), pages 185-190, June.
- Anatolii Nikitin & Svajonė Bekešienė & Šárka Hošková-Mayerová & Bohdan Krasiuk, 2024. "Multidimensional Model of Information Struggle with Impulse Perturbation in Terms of Levy Approximation," Mathematics, MDPI, vol. 12(8), pages 1-12, April.
- Fan, Zhi-Ping & Che, Yu-Jie & Chen, Zhen-Yu, 2017. "Product sales forecasting using online reviews and historical sales data: A method combining the Bass model and sentiment analysis," Journal of Business Research, Elsevier, vol. 74(C), pages 90-100.
- Sudtasan, Tatcha & Mitomo, Hitoshi, 2017. "Comparison of Diffusion Models for Forecasting the Growth of Broadband Markets in Thailand," 14th ITS Asia-Pacific Regional Conference, Kyoto 2017: Mapping ICT into Transformation for the Next Information Society 168541, International Telecommunications Society (ITS).
- Lee, Youseok & Kim, Sang-Hoon & Cha, Kyoung Cheon, 2021. "Impact of online information on the diffusion of movies: Focusing on cultural differences," Journal of Business Research, Elsevier, vol. 130(C), pages 603-609.
- Avila, Luz Angelica Pirir & Lee, Deok-Joo & Kim, Taegu, 2018. "Diffusion and competitive relationship of mobile telephone service in Guatemala: An empirical analysis," Telecommunications Policy, Elsevier, vol. 42(2), pages 116-126.
- Nathalia Granja & Pedro Domingues & Mónica Cabecinhas & Dominik Zimon & Paulo Sampaio, 2021. "ISO 22000 Certification: Diffusion in Europe," Resources, MDPI, vol. 10(10), pages 1-16, September.
- Sergei Sidorov & Alexey Faizliev & Vladimir Balash & Olga Balash & Maria Krylova & Aleksandr Fomenko, 2021. "Extended innovation diffusion models and their empirical performance on real propagation data," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(2), pages 99-110, June.
- Eleni Laitsou & Antonios Kargas & Dimitris Varoutas, 2020. "Digital Competitiveness in the European Union Era: The Greek Case," Economies, MDPI, vol. 8(4), pages 1-33, October.
- Sanjay Kumar SINGH & Vijay Lakshmi SINGH, 2023. "Internet diffusion in India: A study based on Growth Curve modelling," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 15(2), pages 29-42, June.
- Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang, 2015. "Forecasting ICT development through quantile confidence intervals," Journal of Business Research, Elsevier, vol. 68(11), pages 2295-2298.
- Tarek Ben Rhouma & Georges Zaccour, 2018. "Optimal Marketing Strategies for the Acquisition and Retention of Service Subscriber," Management Science, INFORMS, vol. 64(6), pages 2609-2627, June.
- Rządkowski Grzegorz & Głażewska Iwona & Sawińska Katarzyna, 2014. "Logistic Function as a Tool of Planning," Foundations of Management, Sciendo, vol. 6(1), pages 57-70, June.
- Yamakawa, Peter & Rees, Gareth H. & Manuel Salas, José & Alva, Nikolai, 2013. "The diffusion of mobile telephones: An empirical analysis for Peru," Telecommunications Policy, Elsevier, vol. 37(6), pages 594-606.
- Winkler, Kay, 2014. "Potential Effects of New Zealand's Policy on Next Generation High-Speed Access Networks," Working Paper Series 19308, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
- Yu, Tiffany Hui-Kuang, 2011. "Heterogeneous effects of different factors on global ICT adoption," Journal of Business Research, Elsevier, vol. 64(11), pages 1169-1173.
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- Rządkowski Grzegorz & Sobczak Lidia, 2020. "A Generalized Logistic Function and Its Applications," Foundations of Management, Sciendo, vol. 12(1), pages 85-92, January.
- Thakur, Ramendra & Hsu, Sonya H.Y. & Fontenot, Gwen, 2012. "Innovation in healthcare: Issues and future trends," Journal of Business Research, Elsevier, vol. 65(4), pages 562-569.
- Xiaoxia Fu & Ping Zhang & Juzhi Zhang, 2017. "Forecasting and Analyzing Internet Users of China with Lotka–Volterra Model," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(01), pages 1-18, February.
- Jinah Yang & Daiki Min & Jeenyoung Kim, 2020. "The Use of Big Data and Its Effects in a Diffusion Forecasting Model for Korean Reverse Mortgage Subscribers," Sustainability, MDPI, vol. 12(3), pages 1-17, January.
- Whalley, Jason & Curwen, Peter, 2012. "Incumbency and market share within European mobile telecommunication networks," Telecommunications Policy, Elsevier, vol. 36(3), pages 222-236.
- Xia, Feihong & Chatterjee, Rabikar & Venkatesh, R., 2022. "Clinching the deal: An empirical study of the drivers of diffusion of daily deals," Journal of Business Research, Elsevier, vol. 149(C), pages 824-832.
- Arunabha Mukhopadhyay & Kallol K. Bagchi & Godwin John Udo, 2024. "Exploring the Main Factors Affecting Mobile Phone Growth Rates in Indian States," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 5746-5768, June.
- Meade, Nigel & Islam, Towhidul, 2015. "Forecasting in telecommunications and ICT—A review," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1105-1126.
- Huarng, Kun-Huang, 2011. "A comparative study to classify ICT developments by economies," Journal of Business Research, Elsevier, vol. 64(11), pages 1174-1177.
- Sang-Gun Lee & Eui-bang Lee & Chang-Gyu Yang, 2014. "Strategies for ICT product diffusion: the case of the Korean mobile communications market," Service Business, Springer;Pan-Pacific Business Association, vol. 8(1), pages 65-81, March.
- Winkler, Kay, 2014. "Potential Effects of New Zealand's Policy on Next Generation High-Speed Access Networks," Working Paper Series 4347, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.