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Innovation diffusion and new product growth models: A critical review and research directions

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Cited by:

  1. Tolotti, Marco & Yepez, Jorge, 2020. "Hotelling-Bertrand duopoly competition under firm-specific network effects," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 105-128.
  2. Foucart, Renaud & Wan, Cheng & Wang, Shidong, 2018. "Innovations and technological comebacks," International Journal of Research in Marketing, Elsevier, vol. 35(1), pages 1-14.
  3. Katarzyna Maciejowska & Arkadiusz Jedrzejewski & Anna Kowalska-Pyzalska & Katarzyna Sznajd-Weron & Rafal Weron, 2015. "Two faces of word-of-mouth: Understanding the impact of social interactions on demand curves for innovative products," HSC Research Reports HSC/15/09, Hugo Steinhaus Center, Wroclaw University of Technology.
  4. Kristina Brecko, 2023. "New Features Free of Charge? Intertemporal Product Versions and Pricing in the Software Market," Marketing Science, INFORMS, vol. 42(1), pages 61-86, January.
  5. Zhiling Guo & Jianqing Chen, 2018. "Multigeneration Product Diffusion in the Presence of Strategic Consumers," Information Systems Research, INFORMS, vol. 29(1), pages 206-224, March.
  6. Mohammad G Nejad & Sertan Kabadayi, 2016. "Optimal introductory pricing for new financial services," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 21(1), pages 34-50, March.
  7. Meihan He & Jongsu Lee, 2020. "Social culture and innovation diffusion: a theoretically founded agent-based model," Journal of Evolutionary Economics, Springer, vol. 30(4), pages 1109-1149, September.
  8. Ferreira, Kevin D. & Lee, Chi-Guhn, 2014. "An integrated two-stage diffusion of innovation model with market segmented learning," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 189-201.
  9. 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.
  10. Delre, Sebastiano A. & Panico, Claudio & Wierenga, Berend, 2017. "Competitive strategies in the motion picture industry: An ABM to study investment decisions," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 69-99.
  11. Li, Pengdeng & Yang, Xiaofan & Yang, Lu-Xing & Xiong, Qingyu & Wu, Yingbo & Tang, Yuan Yan, 2018. "The modeling and analysis of the word-of-mouth marketing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 1-16.
  12. Saurabh Panwar & P. K. Kapur & Ompal Singh, 2021. "Predicting diffusion dynamics and launch time strategy for mobile telecommunication services: an empirical analysis," Information Technology and Management, Springer, vol. 22(1), pages 33-51, March.
  13. Liang’an Huo & Qianqian Wang & Tingting Lin & Hongguang He, 2021. "Maximizing the Influence of Innovative Green Product Propagation," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
  14. Guidolin, Mariangela & Guseo, Renato, 2015. "Technological change in the U.S. music industry: Within-product, cross-product and churn effects between competing blockbusters," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 35-46.
  15. Kumar, Rajeev Ranjan & Guha, Pritha & Chakraborty, Abhishek, 2022. "Comparative assessment and selection of electric vehicle diffusion models: A global outlook," Energy, Elsevier, vol. 238(PC).
  16. Pyo, Tae-Hyung & Tamrakar, Chanchal & Lee, Jae Young & Choi, Yun Seob, 2023. "Is social capital always “Capital”?: Measuring and leveraging social capital in online user communities for in-group diffusion," Journal of Business Research, Elsevier, vol. 158(C).
  17. Ramírez-Hassan, Andrés & Montoya-Blandón, Santiago, 2020. "Forecasting from others’ experience: Bayesian estimation of the generalized Bass model," International Journal of Forecasting, Elsevier, vol. 36(2), pages 442-465.
  18. Byung Cheol Lee & Christine Moorman & C. Page Moreau & Andrew T. Stephen & Donald R. Lehmann, 2020. "The past, present, and future of innovation research," Marketing Letters, Springer, vol. 31(2), pages 187-198, September.
  19. Muller, Eitan & Peres, Renana, 2019. "The effect of social networks structure on innovation performance: A review and directions for research," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 3-19.
  20. Branstad, Are & Solem, Birgit A., 2020. "Emerging theories of consumer-driven market innovation, adoption, and diffusion: A selective review of consumer-oriented studies," Journal of Business Research, Elsevier, vol. 116(C), pages 561-571.
  21. Jie Zhang & Lingfeng Dong & Ting Ji, 2023. "The Diffusion of Competitive Platform-Based Products with Network Effects," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
  22. Lacroix, Rachel & Seifert, Ralf W. & Timonina-Farkas, Anna, 2021. "Benefiting from additive manufacturing for mass customization across the product life cycle," Operations Research Perspectives, Elsevier, vol. 8(C).
  23. Kaldasch, Joachim, 2015. "The Product Life Cycle of Durable Goods," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10(2), pages 1-17.
  24. Bendig, David & Brettel, Malte & Downar, Benedikt, 2018. "Inventory component volatility and its relation to returns," International Journal of Production Economics, Elsevier, vol. 200(C), pages 37-49.
  25. Guseo, Renato & Guidolin, Mariangela, 2015. "Heterogeneity in diffusion of innovations modelling: A few fundamental types," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 514-524.
  26. Saurabh Panwar & P. K. Kapur & Ompal Singh, 2021. "Technology diffusion model with change in adoption rate and repeat purchases: a case of consumer balking," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(1), pages 29-36, February.
  27. Tian Liang & Bin Yang & Chenning Deng & Ping Du & Tuqiang Wang & Hongxing Zhou & Panpan Wang & Jingjing Yu & Aizhong Ding & Fujun Ma & Qingbao Gu & Fasheng Li, 2022. "Diffusion of Cement Kiln Co-Processing of Contaminated Soil in Selected Provinces of China: Engineering Practices, Modeling, and Driving Factors," Sustainability, MDPI, vol. 14(22), pages 1-13, November.
  28. 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.
  29. Gruber, Mario, 2020. "An evolutionary perspective on adoption-diffusion theory," Journal of Business Research, Elsevier, vol. 116(C), pages 535-541.
  30. Oliver Huxhold & Elena Hees & Noah J. Webster, 2020. "Towards bridging the grey digital divide: changes in internet access and its predictors from 2002 to 2014 in Germany," European Journal of Ageing, Springer, vol. 17(3), pages 271-280, September.
  31. Palm, Alvar, 2022. "Innovation systems for technology diffusion: An analytical framework and two case studies," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  32. Franses, Philip Hans, 2021. "Modeling box office revenues of motion pictures✰," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
  33. Dev, Navin K. & Shankar, Ravi & Swami, Sanjeev, 2020. "Diffusion of green products in industry 4.0: Reverse logistics issues during design of inventory and production planning system," International Journal of Production Economics, Elsevier, vol. 223(C).
  34. Landsman, Vardit & Nitzan, Irit, 2020. "Cross-decision social effects in product adoption and defection decisions," International Journal of Research in Marketing, Elsevier, vol. 37(2), pages 213-235.
  35. 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).
  36. Lukas, Elmar & Spengler, Thomas Stefan & Kupfer, Stefan & Kieckhäfer, Karsten, 2017. "When and how much to invest? Investment and capacity choice under product life cycle uncertainty," European Journal of Operational Research, Elsevier, vol. 260(3), pages 1105-1114.
  37. Hong, Zhaofu & Li, Mengfan & Han, Xiaoya & He, Xuhuai, 2020. "Innovative green product diffusion through word of mouth," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
  38. Yansong Hu & Christophe Van den Bulte, 2014. "Nonmonotonic Status Effects in New Product Adoption," Marketing Science, INFORMS, vol. 33(4), pages 509-533, July.
  39. Cloughton, Carol, 2020. "Investigating the link between innovation and mainstream adoption: How to identify consumer trends," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
  40. Riikonen, Antti & Smura, Timo & Kivi, Antero & Töyli, Juuso, 2013. "Diffusion of mobile handset features: Analysis of turning points and stages," Telecommunications Policy, Elsevier, vol. 37(6), pages 563-572.
  41. 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.
  42. Silvio Di Fabio, 2017. "Diffusione tecnologica e ICT: modelli ed applicazioni," PRISMA Economia - Societ? - Lavoro, FrancoAngeli Editore, vol. 2017(3), pages 92-106.
  43. Oliver Schaer & Nikolaos Kourentzes & Robert Fildes, 2022. "Predictive competitive intelligence with prerelease online search traffic," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3823-3839, October.
  44. Scaglione, Miriam & Giovannetti, Emanuele & Hamoudia, Mohsen, 2015. "The diffusion of mobile social networking: Exploring adoption externalities in four G7 countries," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1159-1170.
  45. Pettifor, H. & Wilson, C. & Axsen, J. & Abrahamse, W. & Anable, J., 2017. "Social influence in the global diffusion of alternative fuel vehicles – A meta-analysis," Journal of Transport Geography, Elsevier, vol. 62(C), pages 247-261.
  46. 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.
  47. Ruiz-Conde, Enar & Wieringa, Jaap E. & Leeflang, Peter S.H., 2014. "Competitive diffusion of new prescription drugs: The role of pharmaceutical marketing investment," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 49-63.
  48. Rui Leite & Aurora Teixeira, 2012. "Innovation diffusion with heterogeneous networked agents: a computational model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(2), pages 125-144, October.
  49. Semra Gunduc, 2021. "Diffusion of Innovation In Competitive Markets-A Study on the Global Smartphone Diffusion," Papers 2103.07707, arXiv.org.
  50. Ashkan Negahban & Jeffrey S. Smith, 2018. "A joint analysis of production and seeding strategies for new products: an agent-based simulation approach," Annals of Operations Research, Springer, vol. 268(1), pages 41-62, September.
  51. H. H. J. K. Li & K. H. Tan, 2019. "Transformative innovation: turning commoditised products into radically high-valued products," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2645-2658, October.
  52. Reinartz, Werner & Dellaert, Benedict & Krafft, Manfred & Kumar, V. & Varadarajan, Rajan, 2011. "Retailing Innovations in a Globalizing Retail Market Environment," Journal of Retailing, Elsevier, vol. 87(S1), pages 53-66.
  53. Karthik Sridhar & Ram Bezawada & Minakshi Trivedi, 2012. "Investigating the Drivers of Consumer Cross-Category Learning for New Products Using Multiple Data Sets," Marketing Science, INFORMS, vol. 31(4), pages 668-688, July.
  54. Chandrasekaran, Deepa & Arts, Joep W.C. & Tellis, Gerard J. & Frambach, Ruud T., 2013. "Pricing in the international takeoff of new products," International Journal of Research in Marketing, Elsevier, vol. 30(3), pages 249-264.
  55. Brabazon, Philip G & MacCarthy, Bart, 2012. "Investigating a long tail in retail vehicle sales," Omega, Elsevier, vol. 40(3), pages 302-313.
  56. Adrien Bernard Bonache & Marc Filser, 2013. "Comment améliorer la prévision des ventes pour le marketing ? Les apports de la théorie du chaos," Post-Print hal-03822792, HAL.
  57. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
    • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
  58. Fazıl Paç, M. & Savin, Sergei & Velu, Chander, 2018. "When to adopt a service innovation: Nash equilibria in a competitive diffusion framework," European Journal of Operational Research, Elsevier, vol. 271(3), pages 968-984.
  59. Takeshi Ebina & Noriaki Matsushima, 2017. "Product differentiation and entry timing in a continuous-time spatial competition model with vertical relations," ISER Discussion Paper 1009, Institute of Social and Economic Research, Osaka University.
  60. Pranpreya Sriwannawit & Ulf Sandström, 2015. "Large-scale bibliometric review of diffusion research," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1615-1645, February.
  61. V. Kumar & Nandini Nim & Amit Agarwal, 2021. "Platform-based mobile payments adoption in emerging and developed countries: Role of country-level heterogeneity and network effects," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(8), pages 1529-1558, October.
  62. Marcin Sitek, 2018. "The risk involved in implementation of innovations in the real estate market," Ekonomia i Prawo, Uniwersytet Mikolaja Kopernika, vol. 17(2), pages 223-232, June.
  63. Hongmin Li, 2020. "Optimal Pricing Under Diffusion-Choice Models," Operations Research, INFORMS, vol. 68(1), pages 115-133, January.
  64. Goodwin, Paul & Meeran, Sheik & Dyussekeneva, Karima, 2014. "The challenges of pre-launch forecasting of adoption time series for new durable products," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1082-1097.
  65. Colapinto, Cinzia & Sartori, Elena & Tolotti, Marco, 2014. "Awareness, persuasion, and adoption: Enriching the Bass model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 1-10.
  66. Jung Ok Jeon & Sunmee Baeck, 2016. "The effect of the valence of word-of-mouth on consumers’ attitudes toward co-brands: The moderating roles of brand characteristics," Journal of Global Scholars of Marketing Science, Taylor & Francis Journals, vol. 26(1), pages 89-108, January.
  67. Coby Morvinski & On Amir & Eitan Muller, 2017. "“Ten Million Readers Can’t Be Wrong!,” or Can They? On the Role of Information About Adoption Stock in New Product Trial," Marketing Science, INFORMS, vol. 36(2), pages 290-300, March.
  68. Arieli, Itai & Babichenko, Yakov, 2019. "Private Bayesian persuasion," Journal of Economic Theory, Elsevier, vol. 182(C), pages 185-217.
  69. Belo, Rodrigo & Ferreira, Pedro, 2021. "Free Riding in Products with Positive Network Externalities: Empirical Evidence from a Large Mobile Network," SocArXiv wz4k9, Center for Open Science.
  70. Rae Yule Kim, 2020. "The influx of skeptics: an investigation of the diffusion cycle effect on online review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 821-835, December.
  71. Haiqing Hu & Pandu R. Tadikamalla, 2020. "When to launch a sales promotion for online fashion products? An empirical study," Electronic Commerce Research, Springer, vol. 20(4), pages 737-756, December.
  72. Yi-Tui Chen & Fu-Chiang Yang & Shih-Heng Yu, 2017. "The Diffusion Effect of MSW Recycling," Sustainability, MDPI, vol. 10(1), pages 1-12, December.
  73. E. O. Chukwuma-Nwuba, 2013. "The Failure of Most Entrepreneurial Technological Innovations to Diffuse: What the Literatures Say," International Journal of Management Sciences, Research Academy of Social Sciences, vol. 1(11), pages 463-470.
  74. Kurdgelashvili, Lado & Shih, Cheng-Hao & Yang, Fan & Garg, Mehul, 2019. "An empirical analysis of county-level residential PV adoption in California," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 321-333.
  75. Olexandr Yemelyanov & Anastasiya Symak & Tetyana Petrushka & Roman Lesyk & Lilia Lesyk, 2018. "Assessment of the Technological Changes Impact on the Sustainability of State Security System of Ukraine," Sustainability, MDPI, vol. 10(4), pages 1-24, April.
  76. Talke, Katrin & Müller, Sebastian & Wieringa, Jaap E., 2017. "A matter of perspective: Design newness and its performance effects," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 399-413.
  77. Singh, Shiwangi & Dhir, Sanjay & Das, V. Mukunda & Sharma, Anuj, 2020. "Bibliometric overview of the Technological Forecasting and Social Change journal: Analysis from 1970 to 2018," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
  78. Wenjing Shen & Izak Duenyas & Roman Kapuscinski, 2014. "Optimal Pricing, Production, and Inventory for New Product Diffusion Under Supply Constraints," Manufacturing & Service Operations Management, INFORMS, vol. 16(1), pages 28-45, February.
  79. Negahban, Ashkan & Smith, Jeffrey S., 2018. "Optimal production-sales policies and entry time for successive generations of new products," International Journal of Production Economics, Elsevier, vol. 199(C), pages 220-232.
  80. Viswanathan, Vijay & Sese, F. Javier & Krafft, Manfred, 2017. "Social influence in the adoption of a B2B loyalty program: The role of elite status members," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 901-918.
  81. Pazoki, Mostafa & Samarghandi, Hamed, 2021. "Word-Of-Mouth and estimating demand based on network structure and epidemic models," European Journal of Operational Research, Elsevier, vol. 291(1), pages 323-334.
  82. Constanza Fosco, 2012. "Spatial Difusion and Commuting Flows," Documentos de Trabajo en Economia y Ciencia Regional 30, Universidad Catolica del Norte, Chile, Department of Economics, revised Sep 2012.
  83. Alexei Parakhonyak & Nick Vikander, 2019. "Optimal Sales Schemes for Network Goods," Management Science, INFORMS, vol. 65(2), pages 819-841, February.
  84. Laciana, C.E. & Gual, G. & Kalmus, D. & Oteiza-Aguirre, N. & Rovere, S.L., 2014. "Diffusion of two brands in competition: Cross-brand effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 104-115.
  85. Ye Li & Clemens Kool & Peter-Jan Engelen, 2020. "Analyzing the Business Case for Hydrogen-Fuel Infrastructure Investments with Endogenous Demand in The Netherlands: A Real Options Approach," Sustainability, MDPI, vol. 12(13), pages 1-22, July.
  86. V. Kumar & Nandini Nim & Amit Agarwal, 0. "Platform-based mobile payments adoption in emerging and developed countries: Role of country-level heterogeneity and network effects," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 0, pages 1-30.
  87. María Sicilia & Manuela López, 2011. "How e-wom contributes to new product adoption. Testing competitive communication strategies," DOCFRADIS Working Papers 1102, Catedra Fundación Ramón Areces de Distribución Comercial.
  88. Jarunee Wonglimpiyarat, 2016. "Technological Change of the Innovation Payment System," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 13(04), pages 1-20, August.
  89. Curtius, Hans Christoph & Hille, Stefanie Lena & Berger, Christian & Hahnel, Ulf Joachim Jonas & Wüstenhagen, Rolf, 2018. "Shotgun or snowball approach? Accelerating the diffusion of rooftop solar photovoltaics through peer effects and social norms," Energy Policy, Elsevier, vol. 118(C), pages 596-602.
  90. Laciana, Carlos E. & Rovere, Santiago L. & Podestá, Guillermo P., 2013. "Exploring associations between micro-level models of innovation diffusion and emerging macro-level adoption patterns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(8), pages 1873-1884.
  91. Anita Maulina & Iwan Sukoco & Bambang Hermanto & Nenden Kostini, 2023. "Tourists’ Revisit Intention and Electronic Word-of-Mouth at Adaptive Reuse Building in Batavia Jakarta Heritage," Sustainability, MDPI, vol. 15(19), pages 1-23, September.
  92. Meyners, Jannik & Barrot, Christian & Becker, Jan U. & Bodapati, Anand V., 2017. "Reward-scrounging in customer referral programs," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 382-398.
  93. Claudia Furlan & Cinzia Mortarino & Mohammad Salim Zahangir, 2021. "Interaction among three substitute products: an extended innovation diffusion model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(1), pages 269-293, March.
  94. Philipp G Stahl & Nathalia C Tjandra & Alessandro Feri & Kristen Marshall, 2019. "Beer Brand Word-of-Mouth Drivers in Colombia: A Qualitative Exploration," Transnational Marketing Journal, Oxbridge Publishing House, UK, vol. 7(2), pages 161-186, October.
  95. Mesak, Hani I. & Bari, Abdullahel & Babin, Barry J. & Birou, Laura M. & Jurkus, Anthony, 2011. "Optimum advertising policy over time for subscriber service innovations in the presence of service cost learning and customers' disadoption," European Journal of Operational Research, Elsevier, vol. 211(3), pages 642-649, June.
  96. Wu, Xiang & Xiong, Jie & Li, Haitao & Wu, Han, 2019. "The myth of retail pricing policy for developing organic vegetable markets," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 8-13.
  97. Edouard Civel & Marc Baudry, 2018. "The Fate of Inventions. What can we learn from Bayesian learning in strategic options model of adoption ?," EconomiX Working Papers 2018-47, University of Paris Nanterre, EconomiX.
  98. Jun, Seung-Pyo & Sung, Tae-Eung & Park, Hyun-Woo, 2017. "Forecasting by analogy using the web search traffic," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 37-51.
  99. Hoon Jang, 2018. "Association of SME and Government Policy Factors with the Creation of New Employment: Manufacturing Industry in Korea," Social Sciences, MDPI, vol. 7(6), pages 1-16, June.
  100. Guidolin, Mariangela & Guseo, Renato, 2014. "Modelling seasonality in innovation diffusion," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 33-40.
  101. Giulio Mangano & Giovanni Zenezini & Anna Corinna Cagliano & Alberto De Marco, 2019. "The dynamics of diffusion of an electronic platform supporting City Logistics services," Operations Management Research, Springer, vol. 12(3), pages 182-198, December.
  102. Florian Probst & Laura Grosswiele & Regina Pfleger, 2013. "Who will lead and who will follow: Identifying Influential Users in Online Social Networks," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(3), pages 179-193, June.
  103. Sharma, Piyush & Davcik, Nebojsa S. & Pillai, Kishore Gopalakrishna, 2016. "Product innovation as a mediator in the impact of R&D expenditure and brand equity on marketing performance," Journal of Business Research, Elsevier, vol. 69(12), pages 5662-5669.
  104. Donthu, Naveen & Reinartz, Werner & Kumar, Satish & Pattnaik, Debidutta, 2021. "A retrospective review of the first 35 years of the International Journal of Research in Marketing," International Journal of Research in Marketing, Elsevier, vol. 38(1), pages 232-269.
  105. 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.
  106. Kocaman, Barış & Gelper, Sarah & Langerak, Fred, 2023. "Till the cloud do us part: Technological disruption and brand retention in the enterprise software industry," International Journal of Research in Marketing, Elsevier, vol. 40(2), pages 316-341.
  107. Bunea, Anita M. & Della Posta, Pompeo & Guidolin, Mariangela & Manfredi, Piero, 2020. "What do adoption patterns of solar panels observed so far tell about governments’ incentive? Insights from diffusion models," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
  108. Langley, David J. & Hoeve, Maarten C. & Ortt, J. Roland & Pals, Nico & van der Vecht, Bob, 2014. "Patterns of Herding and their Occurrence in an Online Setting," Journal of Interactive Marketing, Elsevier, vol. 28(1), pages 16-25.
  109. Nejad, Mohammad G. & Amini, Mehdi & Babakus, Emin, 2015. "Success Factors in Product Seeding: The Role of Homophily," Journal of Retailing, Elsevier, vol. 91(1), pages 68-88.
  110. Katharina Elisabeth Fischer & Tom Stargardt, 2016. "The diffusion of generics after patent expiry in Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(8), pages 1027-1040, November.
  111. Heidenreich, Sven & Killmer, Jan F. & Millemann, Jan A., 2022. "If at first you don't adopt - Investigating determinants of new product leapfrogging behavior," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  112. Gelper, Sarah & Stremersch, Stefan, 2014. "Variable selection in international diffusion models," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 356-367.
  113. Papachristos, George & Adamides, Emmanuel, 2016. "A retroductive systems-based methodology for socio-technical transitions research," Technological Forecasting and Social Change, Elsevier, vol. 108(C), pages 1-14.
  114. Koray Cosguner & P. B. (Seethu) Seetharaman, 2022. "Dynamic Pricing for New Products Using a Utility-Based Generalization of the Bass Diffusion Model," Management Science, INFORMS, vol. 68(3), pages 1904-1922, March.
  115. Elalem, Yara Kayyali & Maier, Sebastian & Seifert, Ralf W., 2023. "A machine learning-based framework for forecasting sales of new products with short life cycles using deep neural networks," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1874-1894.
  116. Jeffrey Yi-Lin Forrest & Zaiwu Gong, 2019. "Factors and Steps for Successful Transition from a State of Making to One of Innovating," Sustainability, MDPI, vol. 11(15), pages 1-12, August.
  117. Chaab, Jafar & Salhab, Rabih & Zaccour, Georges, 2022. "Dynamic pricing and advertising in the presence of strategic consumers and social contagion: A mean-field game approach," Omega, Elsevier, vol. 109(C).
  118. Georgios Giotis & Evangelia Papadionysiou, 2022. "The Role of Managerial and Technological Innovations in the Tourism Industry: A Review of the Empirical Literature," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
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