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Diffusion models of mobile telephony

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  1. 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.
  2. Baburin, Vyacheslav & Zemtsov, Stepan, 2014. "Diffussion of ICT-products and "five Russias"," MPRA Paper 68926, University Library of Munich, Germany, revised 10 May 2014.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. Marinakis, Yorgos D., 2012. "Forecasting technology diffusion with the Richards model," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 172-179.
  18. 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.
  19. 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.
  20. repec:vuw:vuwscr:19308 is not listed on IDEAS
  21. Rządkowski Grzegorz & Sobczak Lidia, 2020. "A Generalized Logistic Function and Its Applications," Foundations of Management, Sciendo, vol. 12(1), pages 85-92, January.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. Whalley, Jason & Curwen, Peter, 2012. "Incumbency and market share within European mobile telecommunication networks," Telecommunications Policy, Elsevier, vol. 36(3), pages 222-236.
  29. 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.
  30. 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.
  31. 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).
  32. 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.
  33. 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.
  34. 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.
  35. Meade, Nigel & Islam, Towhidul, 2015. "Forecasting in telecommunications and ICT—A review," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1105-1126.
  36. Huarng, Kun-Huang, 2011. "A comparative study to classify ICT developments by economies," Journal of Business Research, Elsevier, vol. 64(11), pages 1174-1177.
  37. 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.
  38. 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.
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