Lurkers versus Contributors: An Empirical Investigation of Knowledge Contribution Behavior in Open Innovation Communities

Daradkeh, 2022, A User Segmentation Method in Heterogeneous Open Innovation Communities Based on Multilayer Information Fusion and Attention Mechanisms, J. Open Innov. Technol. Mark. Complex., 8 Daradkeh, 2021, Exploring the Usefulness of User-Generated Content for Business Intelligence in Innovation: Empirical Evidence From an Online Open Innovation Community, Int. J. Enterp. Inf. Syst. (IJEIS), 17, 44, 10.4018/IJEIS.2021040103 Daradkeh, 2022, The Relationship Between Persuasion Cues and Idea Adoption in Virtual Crowdsourcing Communities: Evidence From a Business Analytics Community, Int. J. Knowl. Manag. (IJKM), 18, 1 Sun, 2022, Will extrinsic motivation motivate or demotivate knowledge contributors? A moderated mediation analysis, J. Knowl. Manag., 26, 2255 Vershinina, 2022, Online communities and entrepreneuring mothers: Practices of building, being and belonging, Entrep. Reg. Dev., 34, 742, 10.1080/08985626.2022.2083692 Daradkeh, 2022, Innovation in Business Intelligence Systems: The Relationship Between Innovation Crowdsourcing Mechanisms and Innovation Performance, Int. J. Inf. Syst. Serv. Sect. (IJISSS), 14, 1, 10.4018/IJISSS.302885 Ahmed, 2019, Social media for knowledge-sharing: A systematic literature review, Telemat. Inform., 37, 72, 10.1016/j.tele.2018.01.015 Baima, 2022, Testing the antecedents of customer knowledge sharing on social media: A quantitative analysis on Italian consumers, Int. Mark. Rev., 39, 682, 10.1108/IMR-03-2021-0122 Lee, 2021, Investigating Moderators of the Influence of Enablers on Participation in Knowledge Sharing in Virtual Communities, Sustainability, 13 Luo, 2021, The effect of commitment on knowledge sharing: An empirical study of virtual communities, Technol. Forecast. Soc. Chang., 163, 120438, 10.1016/j.techfore.2020.120438 Wang, 2021, Understanding how participating behaviours influenced by individual motives affect continued generating behaviours in product-experience-shared communities, Behav. Inf. Technol., 1 Wu, 2021, The Role of Opinion Leaders in the Sustainable Development of Corporate-Led Consumer Advice Networks: Evidence from a Chinese Travel Content Community, Sustainability, 13 Ertiö, 2020, Social media activities in Finland: A population-level comparison, Convergence, 26, 193, 10.1177/1354856518780463 Panda, 2021, Online Healthcare Practices and Associated Stakeholders: Review of Literature for Future Research Agenda, Vikalpa, 46, 71, 10.1177/02560909211025361 Shi, 2022, Relationship between Social Exchanges and Financial Performance: Examining a Virtual Community Sponsored by a Cloud Provider, Int. J. Electron. Commer., 26, 355, 10.1080/10864415.2022.2076198 Moser, 2021, Knowledge sharing in two cultures: The moderating effect of national culture on perceived knowledge quality in online communities, Eur. J. Inf. Syst., 30, 623, 10.1080/0960085X.2020.1817802 Orelj, 2022, They didn’t ask: Online innovation communities as a latent dynamic capability, Technol. Forecast. Soc. Chang., 180, 121738, 10.1016/j.techfore.2022.121738 Fang, 2021, How does participation and browsing affect continuance intention in virtual communities? An integration of curiosity theory and subjective well-being, Behav. Inf. Technol., 40, 221, 10.1080/0144929X.2019.1685002 Cheng, 2022, The Formation Mechanism of Social Identity Based on Knowledge Contribution in Online Knowledge Communities: Empirical Evidence from China, Sustainability, 14 Cai, 2022, The influence of the community climate on users’ knowledge-sharing intention: The social cognitive theory perspective, Behav. Inf. Technol., 41, 307, 10.1080/0144929X.2020.1808704 Fayn, 2021, Collective empowerment of an online patient community: Conceptualizing process dynamics using a multi-method qualitative approach, BMC Health Serv. Res., 21, 10.1186/s12913-021-06988-y Bui, 2022, Capture coproduction behavior in networking alumni communities: Progress from platform belongingness, knowledge sharing, and citizenship behavior, J. Enterprising Communities People Places Glob. Econ., 16, 46, 10.1108/JEC-08-2021-0112 Chapman, 2022, Luxury brand value co-creation with online brand communities in the service encounter, J. Bus. Res., 144, 902, 10.1016/j.jbusres.2022.01.068 Mustafa, 2022, Predicting users knowledge contribution behaviour in technical vs non-technical online Q&A communities: SEM-Neural Network approach, Behav. Inf. Technol., 1, 10.1080/0144929X.2022.2133633 Mustika, 2022, Testing the Determining Factors of Knowledge Sharing Behavior, SAGE Open, 12, 10.1177/21582440221078012 Yang, 2017, Perceived online community support, member relations, and commitment: Differences between posters and lurkers, Inf. Manag., 54, 154, 10.1016/j.im.2016.05.003 Yao, 2021, Sense of virtual community, commitment and knowledge contribution: An empirical research based on MI community, Nankai Bus. Rev. Int., 12, 131, 10.1108/NBRI-10-2019-0053 Zhang, 2017, Knowledge sharing motivations in online health communities: A comparative study of health professionals and normal users, Comput. Hum. Behav., 75, 797, 10.1016/j.chb.2017.06.028 Daradkeh, 2021, The Influence of Sentiment Orientation in Open Innovation Communities: Empirical Evidence from a Business Analytics Community, J. Inf. Knowl. Manag., 20, 2150031, 10.1142/S0219649221500313 Wenger, 2010, Communities of Practice and Social Learning Systems: The Career of a Concept, 179 Kim, 2018, Exploring Consumer Behavior in Virtual Reality Tourism Using an Extended Stimulus-Organism-Response Model, J. Travel Res., 59, 69, 10.1177/0047287518818915 Le, 2022, Lurkers or posters? How teacher identity influences self-presentation on social networking sites, Learn. Media Technol., 1 Chesbrough, 2003 Chesbrough, 2019 Elia, 2020, Implementing open innovation through virtual brand communities: A case study analysis in the semiconductor industry, Technol. Forecast. Soc. Chang., 155, 119994, 10.1016/j.techfore.2020.119994 Kim, 2022, An empirical study of community cohesiveness, community attachment, and their roles in virtual community participation, Eur. J. Inf. Syst., 1, 10.1080/0960085X.2021.2018364 Johansson, 2021, Online Communities as a Driver for Patient Empowerment: Systematic Review, J. Med. Internet. Res., 23, e19910, 10.2196/19910 Zhang, 2021, Understanding relationship commitment and continuous knowledge sharing in online health communities: A social exchange perspective, J. Knowl. Manag., 26, 592, 10.1108/JKM-12-2020-0883 Abbate, 2022, From Knowledge Ecosystems to Capabilities Ecosystems: When Open Innovation Digital Platforms Lead to Value Co-creation, J. Knowl. Econ., 13, 290, 10.1007/s13132-021-00720-1 Pirkkalainen, 2018, Engaging in knowledge exchange: The instrumental psychological ownership in open innovation communities, Int. J. Inf. Manag., 38, 277, 10.1016/j.ijinfomgt.2017.09.006 Tep, 2022, The impact of social features in an online community on member contribution, Comput. Hum. Behav., 129, 107149, 10.1016/j.chb.2021.107149 Wu, 2019, Impact of Open Innovation Communities on Enterprise Innovation Performance: A System Dynamics Perspective, Sustainability, 11, 10.3390/su11174794 Selim, 2022, Cross-national differences in travelers’ continuance of knowledge sharing in online travel communities, J. Retail. Consum. Serv., 65, 102886, 10.1016/j.jretconser.2021.102886 Priharsari, 2020, Value co-creation in firm sponsored online communities: What enables, constrains, and shapes value, Internet Res., 30, 763, 10.1108/INTR-05-2019-0205 Liu, 2022, How to channel knowledge coproduction behavior in an online community: Combining machine learning and narrative analysis, Technol. Forecast. Soc. Chang., 183, 121887, 10.1016/j.techfore.2022.121887 Mokhtari Nouri, 2022, Nursing Knowledge-Sharing in Mobile Social Networks as a Means of Professional Dynamic Interactions: A Qualitative Content Analysis, Interdiscip. J. Virtual Learn. Med. Sci., 13, 1 Nguyen, 2021, How to motivate employees to engage in online knowledge sharing? Differences between posters and lurkers, J. Knowl. Manag., 25, 1811, 10.1108/JKM-08-2020-0649 Liu, 2022, The more, the better? The effect of feedback and user’s past successes on idea implementation in open innovation communities, J. Assoc. Inf. Sci. Technol., 73, 376, 10.1002/asi.24555 Zhao, 2021, Towards a contingency model of knowledge sharing: Interaction between social capital and social exchange theories, Knowl. Manag. Res. Pract., 1 Ma, 2019, User innovation evaluation: Empirical evidence from an online game community, Decis. Support Syst., 117, 113, 10.1016/j.dss.2018.11.003 Wang, 2021, What contributes to online communities’ prosperity? Understanding value co-creation in product-experience-shared communities (PESCs) from the view of resource integration, Inf. Technol. People Wang, 2022, Improving passive members sustained participation behavior in online political communities: A empirical study from China and South Korea, Curr. Psychol. Zhang, 2017, Social capital, motivations, and knowledge sharing intention in health Q&A communities, Manag. Decis., 55, 1536, 10.1108/MD-10-2016-0739 Smirnova, 2022, What makes the right OSS contributor tick? Treatments to motivate high-skilled developers, Res. Policy, 51, 104368, 10.1016/j.respol.2021.104368 Ng, 2023, Twitter intermittent and permanent discontinuance: A multi-method approach to study innovation diffusion, Comput. Hum. Behav., 138, 107482, 10.1016/j.chb.2022.107482 Rumjaun, 2020, Social Learning Theory—Albert Bandura, 85 Kaplan Mintz, 2022, Multiple forms of engagement and motivation in ecological citizen science, Environ. Educ. Res., 1 Wenger-Trayner, 2017, Boundaries and Boundary Objects: An Evaluation Framework for Mixed Methods Research, J. Mix. Methods Res., 13, 321, 10.1177/1558689817732225 Guldberg, 2021, Using the value creation framework to capture knowledge co-creation and pathways to impact in a transnational community of practice in autism education, Int. J. Res. Method Educ., 44, 96, 10.1080/1743727X.2019.1706466 Mäkinen, 2021, Power and knowledge negotiations in a collectivity of practice: From peripheralization to epistemological suspicion, Manag. Learn., 53, 502, 10.1177/13505076211036970 Crawford, 2021, Co-Creative Collegial Communities of Instructional Engagement, Int. J. Hyperconnectivity Internet Things (IJHIoT), 5, 38, 10.4018/IJHIoT.2021070103 Kraft, 2021, Using an action learning approach to support women social learning leaders’ development in sport, Action Learn. Res. Pract., 18, 52, 10.1080/14767333.2020.1862050 Zhu, 2020, How online reviews affect purchase intention: A new model based on the stimulus-organism-response framework, Aslib J. Inf. Manag., 72, 463, 10.1108/AJIM-11-2019-0308 Chen, 2021, Travel for Affection: A Stimulus-Organism-Response Model of Honeymoon Tourism Experiences, J. Hosp. Tour. Res., 46, 1187, 10.1177/10963480211011720 Li, 2021, What influences panic buying behaviour? A model based on dual-system theory and stimulus-organism-response framework, Int. J. Disaster Risk Reduct., 64, 102484, 10.1016/j.ijdrr.2021.102484 Shimazaki, 2022, Outcome and efficacy expectation for mental health promotion behaviours: The effects of predicting behaviours and variations in demographics, Adv. Ment. Health, 1 Zhang, 2022, Social connectedness and career and talent development self-efficacy: Direct and mediating effects, Br. J. Guid. Couns., 50, 400, 10.1080/03069885.2022.2062590 Eckstein, 2022, Reinforcement learning and Bayesian inference provide complementary models for the unique advantage of adolescents in stochastic reversal, Dev. Cogn. Neurosci., 55, 101106, 10.1016/j.dcn.2022.101106 Magenes, 2022, Learning skills, creativity, and self-efficacy in vocational school students, Learn. Motiv., 79, 101829, 10.1016/j.lmot.2022.101829 Moise, 2022, An Exploratory Study of Communication Freelancers and Online Communities. A Mixed Methods Approach, Rom. J. Commun. Public Relat., 24, 23 Kim, 2022, Evaluation of Online Communities for Technology Foresight: Data-Driven Approach Based on Expertise and Diversity, Sustainability, 14 Kwon, 2022, The Effect of Observational Learning on Self-Efficacy by Sport Competition Condition, Performance Level of Team Members, and Whether You Win or Lose, Int. J. Environ. Res. Public Health, 19, 10.3390/ijerph191610148 Cheung, 2015, How online social interactions influence customer information contribution behavior in online social shopping communities: A social learning theory perspective, J. Assoc. Inf. Sci. Technol., 66, 2511, 10.1002/asi.23340 Zafar, 2021, Social media and sustainable purchasing attitude: Role of trust in social media and environmental effectiveness, J. Retail. Consum. Serv., 63, 102751, 10.1016/j.jretconser.2021.102751 Yang, 2021, Exchanging social support in social commerce: The role of peer relations, Comput. Hum. Behav., 124, 106911, 10.1016/j.chb.2021.106911 Shi, 2021, How learning effects influence knowledge contribution in online Q&A community? A social cognitive perspective, Decis. Support Syst., 149, 113610, 10.1016/j.dss.2021.113610 D’Arma, 2021, Social Cognition Training for Enhancing Affective and Cognitive Theory of Mind in Schizophrenia: A Systematic Review and a Meta-Analysis, J. Psychol., 155, 26, 10.1080/00223980.2020.1818671 Wang, 2022, From knowledge seeking to knowledge contribution: A social capital perspective on knowledge sharing behaviors in online Q&A communities, Technol. Forecast. Soc. Chang., 182, 121864, 10.1016/j.techfore.2022.121864 Hair, 2017 Anderson, 1988, Psychological Bulletin. Structural equation modeling in practice: A review and recommended two-step approach, Psychol. Bull., 103, 411, 10.1037/0033-2909.103.3.411 Kim, 2015, Structural Equation Modeling: Principles, Processes, and Practices, 153 Daradkeh, 2019, Determinants of Self-Service Analytics Adoption Intention: The Effect of Task-Technology Fit, Compatibility, and User Empowerment, J. Organ. End User Comput. (JOEUC), 31, 19, 10.4018/JOEUC.2019100102 Wolf, 2013, Sample Size Requirements for Structural Equation Models: An Evaluation of Power, Bias, and Solution Propriety, Educ. Psychol. Meas., 76, 913, 10.1177/0013164413495237 Nulty, 2008, The adequacy of response rates to online and paper surveys: What can be done?, Assess. Eval. High. Educ., 33, 301, 10.1080/02602930701293231 Hair, 2019, When to use and how to report the results of PLS-SEM, Eur. Bus. Rev., 31, 2, 10.1108/EBR-11-2018-0203 Fornell, 1981, Evaluating structural equation models with unobservable and measurement error, J. Mark. Res., 18, 39, 10.1177/002224378101800104 Hair, 2018 Aguirre-Urreta, 2019, Detecting Common Method Bias: Performance of the Harman’s Single-Factor Test, SIGMIS Database, 50, 45, 10.1145/3330472.3330477 Lavery, 2019, Number of predictors and multicollinearity: What are their effects on error and bias in regression?, Commun. Stat.—Simul. Comput., 48, 27, 10.1080/03610918.2017.1371750 Figueroa-García, 2018, Modeling the Social Factors That Determine Sustainable Consumption Behavior in the Community of Madrid, Sustainability, 10, 10.3390/su10082811 Marsh, 2004, In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler’s (1999) Findings, Struct. Equ. Model. A Multidiscip. J., 11, 320, 10.1207/s15328007sem1103_2 Zidenberg, 2022, Measurement and Correlates of Zoophilic Interest in an Online Community Sample, Arch. Sex. Behav., 10.1007/s10508-022-02429-x Lambert, 2022, Construct Development and Validation in Three Practical Steps: Recommendations for Reviewers, Editors, and Authors, Organ. Res. Methods, 24 Tsagkanos, 2008, The Bootstrap Maximum Likelihood Estimator: The case of logit, Appl. Financ. Econ. Lett., 4, 209, 10.1080/17446540701604309 Zhou, 2021, Understanding online travel communities: A literature review and future research directions in hospitality and tourism, J. Travel Tour. Mark., 38, 194, 10.1080/10548408.2021.1887052