This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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.1980Heuristic versus systematic information processing and the use of source versus message cues in persuasionJournal of Personality and Social Psychology39575276610.1037/0022-3514.39.5.752Search in Google Scholar
Fiss, P. (2007). A set-theoretic approach to organizational configurations. The Academy of Management Review, 32(4), 1180–1198.FissP.2007A set-theoretic approach to organizational configurationsThe Academy of Management Review3241180119810.5465/amr.2007.26586092Search 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.2011Building better causal theories: A fuzzy set approach to typologies in organization researchAcademy of Management Journal54239342010.5465/amj.2011.60263120Search 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.2020The impact of social capital and social interaction on customers’ purchase intention, considering knowledge sharing in social commerce contextJournal of Innovation & Knowledge5319119910.1016/j.jik.2019.08.004Search 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.2008Predictors of Answer Quality in Online Q&A SitesProceedings of the 2008 Conference on Human Factors in Computing Systems865874Florence, Italy, DBLP10.1145/1357054.1357191Search 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.2013Perceived bridging and bonding social capital on Twitter: Differentiating between followers and followeesComputers in Human Behavior2962134214210.1016/j.chb.2013.04.038Search 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.2017Research on the influencing factors of user's online knowledge consumption behaviorProcedia Computer Science12217417910.1016/j.procs.2017.11.357Search 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.2019Exploring the effect of heuristic factors on the popularity of user-curated “Best places to visit” recommendations in an online travel communityInformation Processing & Management5641391140810.1016/j.ipm.2018.03.009Search 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.2011Reference blindness: The influence of references on trust in WikipediaProceedings of the ACM Web Science Conference Germany14Search 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.2010What Do People Ask Their Social Networks, and Why?A Survey Study of Status Message Q&A BehaviorInternational Conference on Human Factors in Computing SystemsDBLP10.1145/1753326.1753587Search 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.2020.102132NatourS.A.TurekenO.2020A comparative assessment of sentiment analysis and star ratings for consumer reviewsInternational Journal of Information Management5410.1016/j.ijinfomgt.2020.102132Open 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.2019How cultural impact on knowledge sharing contributes to organizational performance: Using the fsQCA approachJournal of Business Research9431331910.1016/j.jbusres.2018.02.027Search 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.2018User experience in personalized online shopping: A fuzzy-set analysisEuropean Journal of Marketing527/81679170310.1108/EJM-10-2017-0707Search 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.2019Fuzzy set analysis as a means to understand users of 21st-Century learning systems: The case of mobile learning and reflections on learning analytics researchComputers in Human Behavior9264665910.1016/j.chb.2017.10.010Search 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.2016Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptionsJournal of Business Research69279480310.1016/j.jbusres.2015.07.010Search 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.2020Identifying the combinations of motivations and emotions for creating satisfied users in SNSs: An fsQCA approachInternational Journal of Information Management5310212810.1016/j.ijinfomgt.2020.102128Search 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.2017The Role of Business Intelligence and Communication Technologies in Organizational Agility: A Configurational ApproachJournal of the Association for Information Systems18964868610.17705/1jais.00001Search 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.2006Set relations in social research: Evaluating their consistency and coveragePolitical Analysis14329131010.1093/pan/mpj019Search 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.2008Net effects versus configurations: An empirical demonstrationInRaginC.C.(Ed.),Redesigning social inquiry: Fuzzy set and beyond190219Chicago, ILUniversity of Chicago Press10.7208/chicago/9780226702797.001.0001Search 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.2018The role of emotions and conflicting online reviews on consumers’ purchase intentionsJournal of Business Research8933634410.1016/j.jbusres.2018.01.027Search 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.2020.102241ShiX.ZhengX.B.YangF.2020Exploring payment behavior for live courses in social Q&A communities: An information foraging perspectiveInformation Processing & Management57410.1016/j.ipm.2020.102241Open 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.2020.102176SonJ.LeeJ.OhO.LeeH.K.WooJ.2020Using a Heuristic-Systematic Model to access the Twitter user profile's impact on disaster tweet credibilityInternational Journal of Information Management5410.1016/j.ijinfomgt.2020.102176Open 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.2020.103921SpeldekampD.KnobenJ.HelmhoutA.S.2020Clusters and firm-level innovation: A configurational analysis of agglomeration, network and institutional advantages in European aerospaceResearch Policy49310.1016/j.respol.2020.103921Open 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.2005Web personalization as a persuasion strategy: An elaboration likelihood model perspectiveInformation Systems Research16327129110.1287/isre.1050.0058Search 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.2002The heuristic–systematic model of social information processingin:DillardJ.P.PfauM.(Eds.),The Persuasion Handbook: Developments in Theory and PracticeSage PublicationsThousand Oaks, CA19521210.4135/9781412976046.n11Search 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.2010Heuristic and Systematic Use of Search EnginesJournal of Computer-Mediated Communication12377880010.1111/j.1083-6101.2007.00350.xSearch 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.2014Embrace perform model: Complexity theory, contrarian case analysis, and multiple realitiesJournal of Business Research67122495250310.1108/978-1-78635-334-420161003Search 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.2019Social capital and knowledge contribution in online user communities: One-way or two-way relationship?Decision Support Systems12711313110.1016/j.dss.2019.113131Search 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.2019Why pay? An empirical study of paid-for SQA sites in ChinaOnline Information Review4371302131510.1108/OIR-05-2018-0169Search 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.2019From free to paid: Customer expertise and customer satisfaction on knowledge payment platformsDecision Support Systems12711314010.1016/j.dss.2019.113140Search 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.2008Capitalizing on Content: Information Adoption in Two Online CommunitiesJournal of the Association for Information Systems92739510.17705/1jais.00149Search 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.2020Can buzzing bring business? Social interactions, network centrality and sales performance: An empirical study on business-to-business communitiesJournal of Business Research11217018910.1016/j.jbusres.2020.02.034Search 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.2020Factors that affect askers’ pay intention in trilateral payment-based social Q&A platforms: From a benefit and cost perspectiveJournal of the Association for Information Science and Technology71551652810.1002/asi.24262Search 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.2018How knowledge contributor characteristics and reputation affect user payment decision in paid Q&A? An empirical analysis from the perspective of trust theoryElectronic Commerce Research and Applications3111110.1016/j.elerap.2018.07.001Search in Google Scholar