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Identification of effective opinion leaders in the diffusion of technological innovation: A social network approach

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Cited by:

  1. De Xia & Nian Xia & Yishi Zhang & Jiwei Xiong & Ruilin Zhu, 2022. "Diffusion Path Identification of Public Opinion Involving Enterprise Green Technology Adoption: An Interpretive-Structural-Modeling-Based Approach," IJERPH, MDPI, vol. 19(5), pages 1-15, February.
  2. Gagliardi, Dimitri & Ramlogan, Ronnie & Navarra, Pierluigi & Dello Russo, Cinzia, 2018. "Diffusion of complementary evolving pharmaceutical innovations: The case of Abacavir and its pharmacogenetic companion diagnostic in Italy," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 223-233.
  3. 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.
  4. Guoyang Zheng & Li Zhu & Chao Liu & Yu Chen, 2019. "TMT social capital, network position and innovation: the nature of micro-macro links," Frontiers of Business Research in China, Springer, vol. 13(1), pages 1-23, December.
  5. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
  6. Ryu, Min Ho & Kim, Eunhye & Lee, Sang Yup, 2022. "How offline retailers adopt O2O: Neighboring star shops and their proximity effect," Telecommunications Policy, Elsevier, vol. 46(3).
  7. Lv, Zhiwei & Zhao, Nan & Xiong, Fei & Chen, Nan, 2019. "A novel measure of identifying influential nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 488-497.
  8. Yibo Lyu & Quanshan Liu & Binyuan He & Jingfei Nie, 2017. "Structural embeddedness and innovation diffusion: the moderating role of industrial technology grouping," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 889-916, May.
  9. Beata Zatwarnicka-Madura & Robert Nowacki & Iwona Wojciechowska, 2022. "Influencer Marketing as a Tool in Modern Communication—Possibilities of Use in Green Energy Promotion amongst Poland’s Generation Z," Energies, MDPI, vol. 15(18), pages 1-22, September.
  10. Ma, Qian & Ma, Jun, 2017. "Identifying and ranking influential spreaders in complex networks with consideration of spreading probability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 312-330.
  11. Xiao Han & Leye Wang & Weiguo Fan, 2023. "Cost-Effective Social Media Influencer Marketing," INFORMS Journal on Computing, INFORMS, vol. 35(1), pages 138-157, January.
  12. Eunsuk Chun & Sungchan Jun & Chulung Lee, 2021. "Identification of Promising Smart Farm Technologies and Development of Technology Roadmap Using Patent Map Analysis," Sustainability, MDPI, vol. 13(19), pages 1-22, September.
  13. Biao Luo & Mengzhen Nie & Hongmei Ji, 2023. "The Influence of Internet Celebrities’ Expertise and Attraction on Residents’ Intention to Purchase Household Energy-Saving Products in the Context of an Online Community," Energies, MDPI, vol. 16(8), pages 1-13, April.
  14. Tang, Jianxin & Zhang, Ruisheng & Yao, Yabing & Yang, Fan & Zhao, Zhili & Hu, Rongjing & Yuan, Yongna, 2019. "Identification of top-k influential nodes based on enhanced discrete particle swarm optimization for influence maximization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 477-496.
  15. Sheng, Jinfang & Dai, Jinying & Wang, Bin & Duan, Guihua & Long, Jun & Zhang, Junkai & Guan, Kerong & Hu, Sheng & Chen, Long & Guan, Wanghao, 2020. "Identifying influential nodes in complex networks based on global and local structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
  16. Shan Gao & Ye Zhang & Wenhui Liu, 2021. "How Does Risk-Information Communication Affect the Rebound of Online Public Opinion of Public Emergencies in China?," IJERPH, MDPI, vol. 18(15), pages 1-14, July.
  17. Borghi, Matteo & Mariani, Marcello M., 2022. "The role of emotions in the consumer meaning-making of interactions with social robots," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  18. Jain, Lokesh, 2022. "An entropy-based method to control COVID-19 rumors in online social networks using opinion leaders," Technology in Society, Elsevier, vol. 70(C).
  19. Abdullah Almaatouq, 2016. "Complex Systems and a Computational Social Science Perspective on the Labor Market," Papers 1606.08562, arXiv.org.
  20. Umit Can & Bilal Alatas, 2017. "Big Social Network Data and Sustainable Economic Development," Sustainability, MDPI, vol. 9(11), pages 1-19, November.
  21. Koopo Kwon & Sungchan Jun & Yong-Jae Lee & Sanghei Choi & Chulung Lee, 2022. "Logistics Technology Forecasting Framework Using Patent Analysis for Technology Roadmap," Sustainability, MDPI, vol. 14(9), pages 1-30, April.
  22. Can, Umit & Alatas, Bilal, 2019. "A new direction in social network analysis: Online social network analysis problems and applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
  23. Nasirian, Farzaneh & Mahdavi Pajouh, Foad & Balasundaram, Balabhaskar, 2020. "Detecting a most closeness-central clique in complex networks," European Journal of Operational Research, Elsevier, vol. 283(2), pages 461-475.
  24. Daniel Röchert & Manuel Cargnino & German Neubaum, 2022. "Two sides of the same leader: an agent-based model to analyze the effect of ambivalent opinion leaders in social networks," Journal of Computational Social Science, Springer, vol. 5(2), pages 1159-1205, November.
  25. Tambo, Torben, 2014. "Collaboration on technological innovation in Danish fashion chains: A network perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 827-835.
  26. Fatima Canseco-Lopez & Francesc Miralles, 2023. "Adoption of Plant-Based Diets: A Process Perspective on Adopters’ Cognitive Propensity," Sustainability, MDPI, vol. 15(9), pages 1-29, May.
  27. Demiray, Melek & Burnaz, Sebnem, 2019. "Exploring the impact of brand community identification on Facebook: Firm-directed and self-directed drivers," Journal of Business Research, Elsevier, vol. 96(C), pages 115-124.
  28. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  29. Ali Tosyali & Jeongsub Choi & Byunghoon Kim & Hoshin Lee & Myong K. Jeong, 2021. "A dynamic graph-based approach to ranking firms for identifying key players using inter-firm transactions," Annals of Operations Research, Springer, vol. 303(1), pages 5-27, August.
  30. Song, Xiao & Zhang, Shaoyun & Qian, Lidong, 2013. "Opinion dynamics in networked command and control organizations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 5206-5217.
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