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The chilling effects of network externalities

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  1. 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 Science and Technology.
  2. 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.
  3. Zhang, Qiao & Zaccour, Georges & Zhang, Jianxiong & Tang, Wansheng, 2020. "Strategic pricing under quality signaling and imitation behaviors in supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
  4. Youn Kue Na & Sungmin Kang, 2018. "Sustainable Diffusion of Fashion Information on Mobile Friends-Based Social Network Service," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
  5. Youn Kue Na & Sungmin Kang & Hye Yeon Jeong, 2019. "Sub-Network Structure and Information Diffusion Behaviors in a Sustainable Fashion Sharing Economy Platform," Sustainability, MDPI, vol. 11(12), pages 1-21, June.
  6. Sinha, Rajesh Kumar & Adhikari, Atanu, 2018. "Buyer-seller amount-price equilibrium for prepaid services: Implication for promotional pricing," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 285-292.
  7. Orbach Yair & Fruchter Gila E. & Varsano Naor, 2019. "Taking a Ride on Mature Carrier Products to Push a New Technology: The Diffusion of Add-Ons," Review of Marketing Science, De Gruyter, vol. 17(1), pages 23-46, June.
  8. 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.
  9. 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.
  10. Xiong, Hang & Payne, Diane & Kinsella, Stephen, 2016. "Peer effects in the diffusion of innovations: Theory and simulation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 63(C), pages 1-13.
  11. Torben Schubert, 2024. "Captive Offshoring, Innovation and Market Diffusion: Evidence from the Swedish Community Innovation Survey," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 5650-5678, June.
  12. 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.
  13. 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.
  14. Raven, Michael & Blind, Knut, 2017. "The characteristics and impacts of scientific publications in biotechnology research referenced in standards," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 167-179.
  15. 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.
  16. William Rand & Christian Stummer, 2021. "Agent‐based modeling of new product market diffusion: an overview of strengths and criticisms," Annals of Operations Research, Springer, vol. 305(1), pages 425-447, October.
  17. Qi Wang & Huazhong Zhao & Jinhong Xie, 2016. "Intra-Standard Competition: The Joint Impact of an Installed-User Base and a Supporting-Firm Base in Markets with Network Effects," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 3(3), pages 159-174, December.
  18. Xin Geng & Xiaomeng Guo & Guang Xiao, 2022. "Impact of Social Interactions on Duopoly Competition with Quality Considerations," Management Science, INFORMS, vol. 68(2), pages 941-959, February.
  19. Mandy Mantian Hu & Sha Yang & Daniel Yi Xu, 2019. "Understanding the Social Learning Effect in Contagious Switching Behavior," Management Science, INFORMS, vol. 65(10), pages 4771-4794, October.
  20. Kaifu Zhang & Miklos Sarvary, 2015. "Differentiation with User-Generated Content," Management Science, INFORMS, vol. 61(4), pages 898-914, April.
  21. Podoynitsyna, Ksenia & Song, Michael & van der Bij, Hans & Weggeman, Mathieu, 2013. "Improving new technology venture performance under direct and indirect network externality conditions," Journal of Business Venturing, Elsevier, vol. 28(2), pages 195-210.
  22. 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.
  23. Fabrizio, Kira R. & Hawn, Olga, 2013. "Enabling diffusion: How complementary inputs moderate the response to environmental policy," Research Policy, Elsevier, vol. 42(5), pages 1099-1111.
  24. Alexei Parakhonyak & Nick Vikander, 2019. "Optimal Sales Schemes for Network Goods," Management Science, INFORMS, vol. 65(2), pages 819-841, February.
  25. Karakaya, Emrah & Hidalgo, Antonio & Nuur, Cali, 2015. "Motivators for adoption of photovoltaic systems at grid parity: A case study from Southern Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1090-1098.
  26. Bindra, Sunali & Sharma, Deepika & Parameswar, Nakul & Dhir, Sanjay & Paul, Justin, 2022. "Bandwagon effect revisited: A systematic review to develop future research agenda," Journal of Business Research, Elsevier, vol. 143(C), pages 305-317.
  27. Liang, Xiaoying & Ma, Lijun & Xie, Lei & Yan, Houmin, 2014. "The informational aspect of the group-buying mechanism," European Journal of Operational Research, Elsevier, vol. 234(1), pages 331-340.
  28. 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.
  29. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
  30. Yanqing Han & Zongming Zhang, 2018. "Impact of free sampling on product diffusion based on Bass model," Electronic Commerce Research, Springer, vol. 18(1), pages 125-141, March.
  31. 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.
  32. Xiao, Yu & Han, Jingti, 2016. "Forecasting new product diffusion with agent-based models," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 167-178.
  33. Chaab, Jafar & Zaccour, Georges, 2024. "Dynamic pricing in the presence of social externalities and reference-price effect," Omega, Elsevier, vol. 122(C).
  34. Lynch, John G. & Bradlow, Eric T. & Huber, Joel C. & Lehmann, Donald R., 2015. "Reflections on the replication corner: In praise of conceptual replications," International Journal of Research in Marketing, Elsevier, vol. 32(4), pages 333-342.
  35. Appel, Gil & Libai, Barak & Muller, Eitan, 2018. "On the monetary impact of fashion design piracy," International Journal of Research in Marketing, Elsevier, vol. 35(4), pages 591-610.
  36. Mukherjee, Prithwiraj, 2014. "How chilling are network externalities? The role of network structure," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 452-456.
  37. Leeflang, Peter, 2011. "Paving the way for “distinguished marketing”," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 76-88.
  38. Stefan Stremersch & Eitan Muller & Renana Peres, 2010. "Does new product growth accelerate across technology generations?," Marketing Letters, Springer, vol. 21(2), pages 103-120, June.
  39. Rand, William & Rust, Roland T., 2011. "Agent-based modeling in marketing: Guidelines for rigor," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 181-193.
  40. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
  41. Younkue Na & Sungmin Kang & Hyeyeon Jeong, 2021. "A Study on the Network Effectiveness of Sustainable K-Fashion and Beauty Creator Media (Social Media) in the Digital Era," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
  42. Anna Borawska & Malgorzata Latuszynska, 2020. "Incorporating Neuroscience Data into Agent-Based Simulation Models of Buyer Behavior," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 1197-1212.
  43. Guseo, Renato & Guidolin, Mariangela, 2010. "Cellular Automata with network incubation in information technology diffusion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(12), pages 2422-2433.
  44. Lim, Hyungsoo & Jun, Duk Bin & Hamoudia, Mohsen, 2019. "A choice-based diffusion model for multi-generation and multi-country data," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 163-173.
  45. Rust, Roland T., 2020. "The future of marketing," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 15-26.
  46. Xiao, Yu & Liu, Liangliang, 2024. "How does information competition affect new product diffusion? Insights from computational experiments," Journal of Business Research, Elsevier, vol. 183(C).
  47. Steiner, Michael & Wiegand, Nico & Eggert, Andreas & Backhaus, Klaus, 2016. "Platform adoption in system markets: The roles of preference heterogeneity and consumer expectations," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 276-296.
  48. Sinan Aral, 2011. "Commentary--Identifying Social Influence: A Comment on Opinion Leadership and Social Contagion in New Product Diffusion," Marketing Science, INFORMS, vol. 30(2), pages 217-223, 03-04.
  49. Emanuele Giovannetti & Mohsen Hamoudia, 2022. "The interaction between direct and indirect network externalities in the early diffusion of mobile social networking," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(4), pages 617-642, December.
  50. Roland T. Rust & Ming-Hui Huang, 2014. "The Service Revolution and the Transformation of Marketing Science," Marketing Science, INFORMS, vol. 33(2), pages 206-221, March.
  51. Neokosmidis, Ioannis & Avaritsiotis, Nikolaos & Ventoura, Zoe & Varoutas, Dimitris, 2015. "Assessment of the gap and (non-)Internet users evolution based on population biology dynamics," Telecommunications Policy, Elsevier, vol. 39(1), pages 14-37.
  52. William Rand & Roland T. Rust & Min Kim, 2018. "Complex systems: marketing’s new frontier," AMS Review, Springer;Academy of Marketing Science, vol. 8(3), pages 111-127, December.
  53. Shittu, Ekundayo & Weigelt, Carmen, 2022. "Accessibility in sustainability transitions: U.S. electric utilities’ deployment of solar," Energy Policy, Elsevier, vol. 165(C).
  54. Bemmaor, Albert C. & Zheng, Li, 2018. "The diffusion of mobile social networking: Further study," International Journal of Forecasting, Elsevier, vol. 34(4), pages 612-621.
  55. Bodo, Peter, 2016. "MADness in the method: On the volatility and irregularity of technology diffusion," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 2-11.
  56. Nejad, Mohammad G. & Amini, Mehdi & Sherrell, Daniel L., 2016. "The profit impact of revenue heterogeneity and assortativity in the presence of negative word-of-mouth," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 656-673.
  57. Bhatia, Tulikaa & Wang, Lei, 2011. "Identifying physician peer-to-peer effects using patient movement data," International Journal of Research in Marketing, Elsevier, vol. 28(1), pages 51-61.
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