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Innovation Diffusion in a Dynamic Potential Adopter Population

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Cited by:

  1. Sanjeev Dewan & Dale Ganley & Kenneth L. Kraemer, 2010. "Complementarities in the Diffusion of Personal Computers and the Internet: Implications for the Global Digital Divide," Information Systems Research, INFORMS, vol. 21(4), pages 925-940, December.
  2. Namwoon Kim & Dae Ryun Chang & Allan D. Shocker, 2000. "Modeling Intercategory and Generational Dynamics for A Growing Information Technology Industry," Management Science, INFORMS, vol. 46(4), pages 496-512, April.
  3. Saurabh Panwar & P. K. Kapur & Ompal Singh, 2019. "Modeling Technological Substitution by Incorporating Dynamic Adoption Rate," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 1-24, February.
  4. Luigi De Cesare & Andrea Di Liddo & Stefania Ragni, 2003. "Numerical Solutions to Some Optimal Control Problems Arising from Innovation Diffusion," Computational Economics, Springer;Society for Computational Economics, vol. 22(2), pages 173-186, October.
  5. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
  6. Hongmin Li & Woonghee Tim Huh, 2012. "Optimal pricing for a short life‐cycle product when customer price‐sensitivity varies over time," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(7), pages 552-576, October.
  7. Putra, Ahmad Romadhoni Surya & Pedersen, Søren Marcus & Liu, Zhen, 2019. "Biogas diffusion among small scale farmers in Indonesia: An application of duration analysis," Land Use Policy, Elsevier, vol. 86(C), pages 399-405.
  8. Singhal, Shakshi & Anand, Adarsh & Singh, Ompal, 2020. "Studying dynamic market size-based adoption modeling & product diffusion under stochastic environment," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
  9. Namin, Aidin & Ratchford, Brian T. & Soysal, Gonca P., 2017. "An empirical analysis of demand variations and markdown policies for fashion retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 126-136.
  10. International Monetary Fund, 2005. "Mauritius: Selected Issues and Statistical Appendix," IMF Staff Country Reports 2005/280, International Monetary Fund.
  11. Pannhorst, Matthias & Dost, Florian, 2019. "Marketing innovations to old-age consumers: A dynamic Bass model for different life stages," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 315-327.
  12. Sanjiv Erat & Sreekumar R. Bhaskaran, 2012. "Consumer Mental Accounts and Implications to Selling Base Products and Add-ons," Marketing Science, INFORMS, vol. 31(5), pages 801-818, September.
  13. Velickovic, Stevan & Radojicic, Valentina & Bakmaz, Bojan, 2016. "The effect of service rollout on demand forecasting: The application of modified Bass model to the step growing markets," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 130-140.
  14. Adarsh Anand & Richie Aggarwal & Ompal Singh, 2019. "Using Weibull Distribution for Modeling Bimodal Diffusion Curves: A Naive Framework to Study Product Life Cycle," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(07), pages 1-17, November.
  15. Semra Gunduc, 2021. "Diffusion of Innovation In Competitive Markets-A Study on the Global Smartphone Diffusion," Papers 2103.07707, arXiv.org.
  16. Francesco Bogliacino & Giorgio Rampa, 2012. "Quality risk aversion, conjectures, and new product diffusion," Journal of Evolutionary Economics, Springer, vol. 22(5), pages 1081-1115, November.
  17. Kotu, Bekele & Admassie, Assefa, 2015. "Potential impact of improved varieties on poverty reduction: a case study of selected cereal crops in two districts of Ethiopia," 2015 Conference, August 9-14, 2015, Milan, Italy 212013, International Association of Agricultural Economists.
  18. Luigi De Cesare & Andrea Di Liddo & Stefania Ragni, 2002. "Numerical solution of some optimal control problems arising from innovation diffusion," Computing in Economics and Finance 2002 221, Society for Computational Economics.
  19. Martin Hewing, 2012. "A Theoretical and Empirical Comparison of Innovation Diffusion Models Applying Data from the Software Industry," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(2), pages 125-141, June.
  20. Wagner A. Kamakura & Siva K. Balasubramanian, 1987. "Long‐term forecasting with innovation diffusion models: The impact of replacement purchases," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 6(1), pages 1-19.
  21. repec:dau:papers:123456789/8266 is not listed on IDEAS
  22. Duan, Hongbo & Zhang, Gupeng & Wang, Shouyang & Fan, Ying, 2018. "Peer interaction and learning: Cross-country diffusion of solar photovoltaic technology," Journal of Business Research, Elsevier, vol. 89(C), pages 57-66.
  23. Pablo Marshall, 2000. "Difusion De Internet En Chile," Abante, Escuela de Administracion. Pontificia Universidad Católica de Chile., vol. 3(2), pages 143-163.
  24. Crompton, Paul, 2001. "The diffusion of new steelmaking technology," Resources Policy, Elsevier, vol. 27(2), pages 87-95, June.
  25. Yann Duval & Arlo Biere, 2001. "Product diffusion and the demand for new food products," Agribusiness, John Wiley & Sons, Ltd., vol. 18(1), pages 23-36.
  26. Fouad El Ouardighi & Gustav Feichtinger & Gila E. Fruchter, 2018. "Accelerating the diffusion of innovations under mixed word of mouth through marketing–operations interaction," Annals of Operations Research, Springer, vol. 264(1), pages 435-458, May.
  27. Shi, Xiaohui & Li, Feng & Bigdeli, Ali Ziaee, 2016. "An examination of NPD models in the context of business models," Journal of Business Research, Elsevier, vol. 69(7), pages 2541-2550.
  28. Swami, Sanjeev & Dutta, Arindam, 2010. "Advertising strategies for new product diffusion in emerging markets: Propositions and analysis," European Journal of Operational Research, Elsevier, vol. 204(3), pages 648-661, August.
  29. Stroade, Jeri L. & Schurle, Bryan W., 2003. "Factors Influencing Information Technology Adpotion: A Cross-Sectional Analysis," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35015, Southern Agricultural Economics Association.
  30. Guseo, Renato & Schuster, Reinhard, 2021. "Modelling dynamic market potential: Identifying hidden automata networks in the diffusion of pharmaceutical drugs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
  31. Han, Zhongya & Tang, Zhongjun & He, Bo, 2022. "Improved Bass model for predicting the popularity of product information posted on microblogs," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  32. Guseo, Renato, 2016. "Latent heterogeneity effects in modelling individual hazards: A non-proportional approach," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 89-93.
  33. Zhang, Jie & Chiang, Wei-yu Kevin, 2020. "Durable goods pricing with reference price effects," Omega, Elsevier, vol. 91(C).
  34. Chih-Jou Chen & Chia-Chin Chang & Shiu-Wan Hung, 2011. "Influences of Technological Attributes and Environmental Factors on Technology Commercialization," Journal of Business Ethics, Springer, vol. 104(4), pages 525-535, December.
  35. Cheng, Quan & Yi, Hongtao, 2017. "Complementarity and substitutability: A review of state level renewable energy policy instrument interactions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 683-691.
  36. Lim, Jinyang & Nam, Changi & Kim, Seongcheol & Lee, Euehun & Lee, Hongkyu, 2015. "A new regional clustering approach for mobile telecommunications policy in China," Telecommunications Policy, Elsevier, vol. 39(3), pages 296-304.
  37. repec:dau:papers:123456789/5855 is not listed on IDEAS
  38. de Bondt, Gabe & Marqués-Ibáñez, David, 2004. "The high-yield segment of the corporate bond market: a diffusion modelling approach for the United States, the United Kingdom and the euro area," Working Paper Series 313, European Central Bank.
  39. Lee, Hakyeon & Kim, Sang Gook & Park, Hyun-woo & Kang, Pilsung, 2014. "Pre-launch new product demand forecasting using the Bass model: A statistical and machine learning-based approach," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 49-64.
  40. Kim, Namwoon & Srivastava, Rajendra K., 2007. "Modeling cross-price effects on inter-category dynamics: The case of three computing platforms," Omega, Elsevier, vol. 35(3), pages 290-301, June.
  41. Udayan Chanda & Alok Kumar, 2019. "Optimization of EOQ Model for New Products Under Multi-Stage Adoption Process," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-25, April.
  42. Fuentelsaz, Lucio & Gomez, Jaime & Polo, Yolanda, 2003. "Intrafirm diffusion of new technologies: an empirical application," Research Policy, Elsevier, vol. 32(4), pages 533-551, April.
  43. Lakka, Spyridoula & Michalakelis, Christos & Varoutas, Dimitris & Martakos, Draculis, 2012. "Exploring the determinants of the OSS market potential: The case of the Apache web server," Telecommunications Policy, Elsevier, vol. 36(1), pages 51-68.
  44. Mitrović, Slobodan & Radojičić, Valentina & Stojanović, Mirjana & Marković, Goran, 2018. "The capacity expansion approach in optical transport networks with fixed and flexible grids," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 310-316.
  45. Wei-yu Kevin Chiang, 2012. "Supply Chain Dynamics and Channel Efficiency in Durable Product Pricing and Distribution," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 327-343, April.
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