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A Causal Configuration Analysis of Payment Decision Drivers in Paid Q&A


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Chaiken, S. (1980). Heuristic versus systematic information processing and the use of source versus message cues in persuasion. Journal of Personality and Social Psychology, 39(5), 752–766. ChaikenS. 1980 Heuristic versus systematic information processing and the use of source versus message cues in persuasion Journal of Personality and Social Psychology 39 5 752 766 10.1037/0022-3514.39.5.752 Search in Google Scholar

Fiss, P. (2007). A set-theoretic approach to organizational configurations. The Academy of Management Review, 32(4), 1180–1198. FissP. 2007 A set-theoretic approach to organizational configurations The Academy of Management Review 32 4 1180 1198 10.5465/amr.2007.26586092 Search in Google Scholar

Fiss, P. (2011). Building better causal theories: A fuzzy set approach to typologies in organization research. Academy of Management Journal, 54(2), 393–420. FissP. 2011 Building better causal theories: A fuzzy set approach to typologies in organization research Academy of Management Journal 54 2 393 420 10.5465/amj.2011.60263120 Search in Google Scholar

Ghahtarani, A., Sheikhmohammady, M., & Rostami, M. (2020). The impact of social capital and social interaction on customers’ purchase intention, considering knowledge sharing in social commerce context. Journal of Innovation & Knowledge, 5(3), 191–199. GhahtaraniA. SheikhmohammadyM. RostamiM. 2020 The impact of social capital and social interaction on customers’ purchase intention, considering knowledge sharing in social commerce context Journal of Innovation & Knowledge 5 3 191 199 10.1016/j.jik.2019.08.004 Search in Google Scholar

Harper, F.M., Raban, D.R., Rafaeli, S., & Konstan, J.A. (2008). Predictors of Answer Quality in Online Q&A Sites. Proceedings of the 2008 Conference on Human Factors in Computing Systems (pp. 865–874). Florence, Italy, DBLP. HarperF.M. RabanD.R. RafaeliS. KonstanJ.A. 2008 Predictors of Answer Quality in Online Q&A Sites Proceedings of the 2008 Conference on Human Factors in Computing Systems 865 874 Florence, Italy, DBLP 10.1145/1357054.1357191 Search in Google Scholar

Hofer, M., & Aubert, V. (2013). Perceived bridging and bonding social capital on Twitter: Differentiating between followers and followees. Computers in Human Behavior, 29(6), 2134–2142. HoferM. AubertV. 2013 Perceived bridging and bonding social capital on Twitter: Differentiating between followers and followees Computers in Human Behavior 29 6 2134 2142 10.1016/j.chb.2013.04.038 Search in Google Scholar

Li, J., Zhang, S., Wang, W.T., & Wang, Y.Z. (2017). Research on the influencing factors of user's online knowledge consumption behavior. Procedia Computer Science, 122, 174–179. LiJ. ZhangS. WangW.T. WangY.Z. 2017 Research on the influencing factors of user's online knowledge consumption behavior Procedia Computer Science 122 174 179 10.1016/j.procs.2017.11.357 Search in Google Scholar

Li, L., Lee, K.Y., & Yang, S.B. (2019). Exploring the effect of heuristic factors on the popularity of user-curated “Best places to visit” recommendations in an online travel community. Information Processing & Management, 56(4), 1391–1408. LiL. LeeK.Y. YangS.B. 2019 Exploring the effect of heuristic factors on the popularity of user-curated “Best places to visit” recommendations in an online travel community Information Processing & Management 56 4 1391 1408 10.1016/j.ipm.2018.03.009 Search in Google Scholar

Lucassen, T., Noordzij, M.L., & Schraagen, J.M. (2011). Reference blindness: The influence of references on trust in Wikipedia. Proceedings of the ACM Web Science Conference Germany, 1–4. LucassenT. NoordzijM.L. SchraagenJ.M. 2011 Reference blindness: The influence of references on trust in Wikipedia Proceedings of the ACM Web Science Conference Germany 1 4 Search in Google Scholar

Morris, M.R. (2010). What Do People Ask Their Social Networks, and Why? A Survey Study of Status Message Q&A Behavior. International Conference on Human Factors in Computing Systems. DBLP. MorrisM.R. 2010 What Do People Ask Their Social Networks, and Why? A Survey Study of Status Message Q&A Behavior International Conference on Human Factors in Computing Systems DBLP 10.1145/1753326.1753587 Search in Google Scholar

Natour, S.A., & Tureken, O. (2020). A comparative assessment of sentiment analysis and star ratings for consumer reviews. International Journal of Information Management, 54. doi: 10.1016/j.ijinfomgt.2020.102132 NatourS.A. TurekenO. 2020 A comparative assessment of sentiment analysis and star ratings for consumer reviews International Journal of Information Management 54 10.1016/j.ijinfomgt.2020.102132 Open DOISearch in Google Scholar

Oyemomi, O., Liu, S., Neaga, I., Chen, H., & Nakpodia, F. (2019). How cultural impact on knowledge sharing contributes to organizational performance: Using the fsQCA approach. Journal of Business Research, 94, 313–319. OyemomiO. LiuS. NeagaI. ChenH. NakpodiaF. 2019 How cultural impact on knowledge sharing contributes to organizational performance: Using the fsQCA approach Journal of Business Research 94 313 319 10.1016/j.jbusres.2018.02.027 Search in Google Scholar

Pappas, I.O. (2018). User experience in personalized online shopping: A fuzzy-set analysis, European Journal of Marketing, 52(7/8), 1679–1703. PappasI.O. 2018 User experience in personalized online shopping: A fuzzy-set analysis European Journal of Marketing 52 7/8 1679 1703 10.1108/EJM-10-2017-0707 Search in Google Scholar

Pappas, I.O., Giannakos, M.N., & Sampson, D.G. (2019). Fuzzy set analysis as a means to understand users of 21st-Century learning systems: The case of mobile learning and reflections on learning analytics research, Computers in Human Behavior, 92, 646–659. PappasI.O. GiannakosM.N. SampsonD.G. 2019 Fuzzy set analysis as a means to understand users of 21st-Century learning systems: The case of mobile learning and reflections on learning analytics research Computers in Human Behavior 92 646 659 10.1016/j.chb.2017.10.010 Search in Google Scholar

Pappas, I.O., Kourouthanassis, P.E., Giannakos, M.N., & Chrissikopoulos, V. (2016). Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions. Journal of Business Research, 69(2), 794–803. PappasI.O. KourouthanassisP.E. GiannakosM.N. ChrissikopoulosV. 2016 Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions Journal of Business Research 69 2 794 803 10.1016/j.jbusres.2015.07.010 Search in Google Scholar

Pappas, I.O., Papavlasopoulou, S., Mikalef, P., & Giannakos, M.N. (2020). Identifying the combinations of motivations and emotions for creating satisfied users in SNSs: An fsQCA approach. International Journal of Information Management, 53, 102–128. PappasI.O. PapavlasopoulouS. MikalefP. GiannakosM.N. 2020 Identifying the combinations of motivations and emotions for creating satisfied users in SNSs: An fsQCA approach International Journal of Information Management 53 102 128 10.1016/j.ijinfomgt.2020.102128 Search in Google Scholar

Park, Y., El Sawy, O.A., & Fiss, P.C. (2017). The Role of Business Intelligence and Communication Technologies in Organizational Agility: A Configurational Approach. Journal of the Association for Information Systems, 18(9), 648–686. ParkY. El SawyO.A. FissP.C. 2017 The Role of Business Intelligence and Communication Technologies in Organizational Agility: A Configurational Approach Journal of the Association for Information Systems 18 9 648 686 10.17705/1jais.00001 Search in Google Scholar

Ragin, C.C. (2006). Set relations in social research: Evaluating their consistency and coverage. Political Analysis, 14(3), 291–310. RaginC.C. 2006 Set relations in social research: Evaluating their consistency and coverage Political Analysis 14 3 291 310 10.1093/pan/mpj019 Search in Google Scholar

Ragin, C.C., & Fiss, P. (2008). Net effects versus configurations: An empirical demonstration. In C.C. Ragin (Ed.), Redesigning social inquiry: Fuzzy set and beyond (pp. 190–219). Chicago, IL: University of Chicago Press. RaginC.C. FissP. 2008 Net effects versus configurations: An empirical demonstration In RaginC.C. (Ed.), Redesigning social inquiry: Fuzzy set and beyond 190 219 Chicago, IL University of Chicago Press 10.7208/chicago/9780226702797.001.0001 Search in Google Scholar

Ruiz-Mafe, C., Chatzipanagiotou, K., & Curras-Perez, R. (2018). The role of emotions and conflicting online reviews on consumers’ purchase intentions. Journal of Business Research, 89, 336–344. Ruiz-MafeC. ChatzipanagiotouK. Curras-PerezR. 2018 The role of emotions and conflicting online reviews on consumers’ purchase intentions Journal of Business Research 89 336 344 10.1016/j.jbusres.2018.01.027 Search in Google Scholar

Shi, X., Zheng, X.B., & Yang, F. (2020). Exploring payment behavior for live courses in social Q&A communities: An information foraging perspective. Information Processing & Management, 57(4). doi: 10.1016/j.ipm.2020.102241 ShiX. ZhengX.B. YangF. 2020 Exploring payment behavior for live courses in social Q&A communities: An information foraging perspective Information Processing & Management 57 4 10.1016/j.ipm.2020.102241 Open DOISearch in Google Scholar

Son, J., Lee, J., Oh, O., Lee, H.K., & Woo, J. (2020). Using a Heuristic-Systematic Model to access the Twitter user profile's impact on disaster tweet credibility. International Journal of Information Management, 54. doi: 10.1016/j.ijinfomgt.2020.102176 SonJ. LeeJ. OhO. LeeH.K. WooJ. 2020 Using a Heuristic-Systematic Model to access the Twitter user profile's impact on disaster tweet credibility International Journal of Information Management 54 10.1016/j.ijinfomgt.2020.102176 Open DOISearch in Google Scholar

Speldekamp, D., Knoben, J., & Helmhout, A.S. (2020). Clusters and firm-level innovation: A configurational analysis of agglomeration, network and institutional advantages in European aerospace. Research Policy, 49(3). doi: 10.1016/j.respol.2020.103921 SpeldekampD. KnobenJ. HelmhoutA.S. 2020 Clusters and firm-level innovation: A configurational analysis of agglomeration, network and institutional advantages in European aerospace Research Policy 49 3 10.1016/j.respol.2020.103921 Open DOISearch in Google Scholar

Tam, K.Y., & Ho, S. (2005). Web personalization as a persuasion strategy: An elaboration likelihood model perspective. Information Systems Research, 16(3), 271–291. TamK.Y. HoS. 2005 Web personalization as a persuasion strategy: An elaboration likelihood model perspective Information Systems Research 16 3 271 291 10.1287/isre.1050.0058 Search in Google Scholar

Todorov, A., Chaiken, S., & Henderson, M.D. (2002). The heuristic–systematic model of social information processing, in: J.P. Dillard, M. Pfau (Eds.), The Persuasion Handbook: Developments in Theory and Practice, Sage Publications, Thousand Oaks, CA, 195–212. TodorovA. ChaikenS. HendersonM.D. 2002 The heuristic–systematic model of social information processing in: DillardJ.P. PfauM. (Eds.), The Persuasion Handbook: Developments in Theory and Practice Sage Publications Thousand Oaks, CA 195 212 10.4135/9781412976046.n11 Search in Google Scholar

Wirth, W., Bocking, T., Karnowski, V., Pape, T. (2010). Heuristic and Systematic Use of Search Engines. Journal of Computer-Mediated Communication, 12(3), 778–800. WirthW. BockingT. KarnowskiV. PapeT. 2010 Heuristic and Systematic Use of Search Engines Journal of Computer-Mediated Communication 12 3 778 800 10.1111/j.1083-6101.2007.00350.x Search in Google Scholar

Woodside, A. (2014). Embrace perform model: Complexity theory, contrarian case analysis, and multiple realities. Journal of Business Research, 67(12), 2495–2503. WoodsideA. 2014 Embrace perform model: Complexity theory, contrarian case analysis, and multiple realities Journal of Business Research 67 12 2495 2503 10.1108/978-1-78635-334-420161003 Search in Google Scholar

Yan, J., Leidner, D.E., Benbya, H., & Zou, W.F. (2019). Social capital and knowledge contribution in online user communities: One-way or two-way relationship? Decision Support Systems, 127, 113–131. YanJ. LeidnerD.E. BenbyaH. ZouW.F. 2019 Social capital and knowledge contribution in online user communities: One-way or two-way relationship? Decision Support Systems 127 113 131 10.1016/j.dss.2019.113131 Search in Google Scholar

Zhang, F.M., Hu, Q.F., & Fang, X.P. (2019). Why pay? An empirical study of paid-for SQA sites in China. Online Information Review, 43(7), 1302–1315. ZhangF.M. HuQ.F. FangX.P. 2019 Why pay? An empirical study of paid-for SQA sites in China Online Information Review 43 7 1302 1315 10.1108/OIR-05-2018-0169 Search in Google Scholar

Zhang, J., Zhang, J.L., & Zhang, M.Y. (2019). From free to paid: Customer expertise and customer satisfaction on knowledge payment platforms. Decision Support Systems, 127, 113–140. ZhangJ. ZhangJ.L. ZhangM.Y. 2019 From free to paid: Customer expertise and customer satisfaction on knowledge payment platforms Decision Support Systems 127 113 140 10.1016/j.dss.2019.113140 Search in Google Scholar

Zhang, W., & Watts, S.A. (2008). Capitalizing on Content: Information Adoption in Two Online Communities. Journal of the Association for Information Systems, 9(2), 73–95. ZhangW. WattsS.A. 2008 Capitalizing on Content: Information Adoption in Two Online Communities Journal of the Association for Information Systems 9 2 73 95 10.17705/1jais.00149 Search in Google Scholar

Zhang, Y., Lu, B.Z., & Zheng, H.D. (2020). Can buzzing bring business? Social interactions, network centrality and sales performance: An empirical study on business-to-business communities. Journal of Business Research, 112, 170–189. ZhangY. LuB.Z. ZhengH.D. 2020 Can buzzing bring business? Social interactions, network centrality and sales performance: An empirical study on business-to-business communities Journal of Business Research 112 170 189 10.1016/j.jbusres.2020.02.034 Search in Google Scholar

Zhao, Y.X., Peng, X.X., Liu, Z.Y., Song, S.J., & Hansen, P. (2020). Factors that affect askers’ pay intention in trilateral payment-based social Q&A platforms: From a benefit and cost perspective. Journal of the Association for Information Science and Technology, 71(5), 516–528. ZhaoY.X. PengX.X. LiuZ.Y. SongS.J. HansenP. 2020 Factors that affect askers’ pay intention in trilateral payment-based social Q&A platforms: From a benefit and cost perspective Journal of the Association for Information Science and Technology 71 5 516 528 10.1002/asi.24262 Search in Google Scholar

Zhao, Y., Zhao, Y., Yuan, X.N., & Zhou, R.X. (2018). How knowledge contributor characteristics and reputation affect user payment decision in paid Q&A? An empirical analysis from the perspective of trust theory. Electronic Commerce Research and Applications, 31, 1–11. ZhaoY. ZhaoY. YuanX.N. ZhouR.X. 2018 How knowledge contributor characteristics and reputation affect user payment decision in paid Q&A? An empirical analysis from the perspective of trust theory Electronic Commerce Research and Applications 31 1 11 10.1016/j.elerap.2018.07.001 Search in Google Scholar

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