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What Kind of User-Generated Ideas Are More Likely to be Implemented? Evidence from an Open Innovation Community., , , и . ICIS, Association for Information Systems, (2018)Assessing Reliability of Social Media Data: Lessons from Mining TripAdvisor Hotel Reviews., , , и . ENTER, стр. 625-638. Springer, (2017)Assessing reliability of social media data: lessons from mining TripAdvisor hotel reviews., , , и . J. Inf. Technol. Tour., 18 (1-4): 43-59 (2018)Measuring Customer Agility from Online Reviews Using Big Data Text Analytics., , , , , и . J. Manag. Inf. Syst., 35 (2): 510-539 (2018)What's Vs. How's in Online Hotel Reviews: Comparing Information Value of Content and Writing Style with Machine Learning., , и . ENTER, стр. 321-332. Springer, (2019)User idea implementation in open innovation communities: Evidence from a new product development crowdsourcing community., , , , и . Inf. Syst. J., 30 (5): 899-927 (2020)The more, the better? The effect of feedback and user's past successes on idea implementation in open innovation communities., , , , и . J. Assoc. Inf. Sci. Technol., 73 (3): 376-392 (2022)Crowd Wisdom: The Impact of Opinion Diversity and Participant Independence on Crowd Performance., , , , и . AMCIS, Association for Information Systems, (2016)Online Health Communities the Impact of Social Support on the Health State of People with Chronic Illness., , , , и . ICSH, том 10347 из Lecture Notes in Computer Science, стр. 184-188. Springer, (2017)CrowdIQ: A New Opinion Aggregation Model., , , , и . HICSS, стр. 1-8. ScholarSpace / AIS Electronic Library (AISeL), (2017)