IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v33y2022i1p244-264.html
   My bibliography  Save this article

What Questions Are You Inclined to Answer? Effects of Hierarchy in Corporate Q&A Communities

Author

Listed:
  • Jingchuan Pu

    (Smeal College of Business, Pennsylvania State University, University Park, Pennsylvania 16802)

  • Yang Liu

    (School of Management, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Yuan Chen

    (School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433, China)

  • Liangfei Qiu

    (Warrington College of Business, University of Florida, Gainesville, Florida 32611)

  • Hsing Kenneth Cheng

    (Warrington College of Business, University of Florida, Gainesville, Florida 32611)

Abstract

An increasing number of companies have started to implement corporate knowledge-sharing communities. Consistent with the observation in the offline setting, employees are less likely to share knowledge with individuals who have higher job ranks (i.e., higher-ups) in corporate communities such as online wikis and discussion groups. Given the importance of managers’ engagements in the community and the needs for knowledge sharing across the hierarchy, we examine whether such observation persists in the corporate question-and-answer (Q&A) community, another popular type of corporate knowledge-sharing community. On the one hand, as in the offline setting and other types of communities, employees can still be reluctant to share knowledge with the higher-ranked individuals in the Q&A community. On the other hand, a Q&A community has some unique attributes that can potentially motivate employees to engage more with the higher-ups. Using a unique data set from a large corporate Q&A community and a potential-dyads approach, we find that a user is inclined to respond to a knowledge seeker whose job rank is higher than (versus lower than or the same as) the user’s rank in the corporate Q&A community. We further show the causality of the result with a quasi experiment that leverages the promotions announced in our study period. Because these promotions are based on employees’ performances before the existence of the community, the promotion announcements are largely exogenous to our research interest. We also find that knowledge providers exert greater effort when answering questions from the higher-ups. Finally, our analyses show that knowledge providers who post more answers to higher-ranked seekers and who display greater effort in those answers are more likely to get promoted in subsequent years. Given the critical role of knowledge sharing and the increasing prevalence of online communities, our study offers a better understanding of the knowledge-sharing pattern in the corporate Q&A community of the hierarchical organizations and delivers useful managerial implications.

Suggested Citation

  • Jingchuan Pu & Yang Liu & Yuan Chen & Liangfei Qiu & Hsing Kenneth Cheng, 2022. "What Questions Are You Inclined to Answer? Effects of Hierarchy in Corporate Q&A Communities," Information Systems Research, INFORMS, vol. 33(1), pages 244-264, March.
  • Handle: RePEc:inm:orisre:v:33:y:2022:i:1:p:244-264
    DOI: 10.1287/isre.2021.1052
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.2021.1052
    Download Restriction: no

    File URL: https://libkey.io/10.1287/isre.2021.1052?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Carl Mela & Praveen Kopalle, 2002. "The impact of collinearity on regression analysis: the asymmetric effect of negative and positive correlations," Applied Economics, Taylor & Francis Journals, vol. 34(6), pages 667-677.
    2. Mingfeng Lin & Siva Viswanathan, 2016. "Home Bias in Online Investments: An Empirical Study of an Online Crowdfunding Market," Management Science, INFORMS, vol. 62(5), pages 1393-1414, May.
    3. Elina H. Hwang & Param Vir Singh & Linda Argote, 2015. "Knowledge Sharing in Online Communities: Learning to Cross Geographic and Hierarchical Boundaries," Organization Science, INFORMS, vol. 26(6), pages 1593-1611, December.
    4. George Kuk, 2006. "Strategic Interaction and Knowledge Sharing in the KDE Developer Mailing List," Management Science, INFORMS, vol. 52(7), pages 1031-1042, July.
    5. J. Stuart Bunderson & Ray E. Reagans, 2011. "Power, Status, and Learning in Organizations," Organization Science, INFORMS, vol. 22(5), pages 1182-1194, October.
    6. Samer Faraj & Georg von Krogh & Eric Monteiro & Karim R. Lakhani, 2016. "Special Section Introduction—Online Community as Space for Knowledge Flows," Information Systems Research, INFORMS, vol. 27(4), pages 668-684, December.
    7. King, Gary & Zeng, Langche, 2001. "Logistic Regression in Rare Events Data," Political Analysis, Cambridge University Press, vol. 9(2), pages 137-163, January.
    8. Niemi, Petri & Huiskonen, Janne & Kärkkäinen, Hannu, 2009. "Understanding the knowledge accumulation process--Implications for the adoption of inventory management techniques," International Journal of Production Economics, Elsevier, vol. 118(1), pages 160-167, March.
    9. Samer Faraj & Steven L. Johnson, 2011. "Network Exchange Patterns in Online Communities," Organization Science, INFORMS, vol. 22(6), pages 1464-1480, December.
    10. Jeffrey A. Roberts & Il-Horn Hann & Sandra A. Slaughter, 2006. "Understanding the Motivations, Participation, and Performance of Open Source Software Developers: A Longitudinal Study of the Apache Projects," Management Science, INFORMS, vol. 52(7), pages 984-999, July.
    11. Marios Kokkodis & Theodoros Lappas & Sam Ransbotham, 2020. "From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare," Information Systems Research, INFORMS, vol. 31(2), pages 607-626, June.
    12. Chih-Hung Peng & Dezhi Yin & Han Zhang, 2020. "More than Words in Medical Question-and-Answer Sites: A Content-Context Congruence Perspective," Information Systems Research, INFORMS, vol. 31(3), pages 913-928, September.
    13. Sridhar Narayanan & Kirthi Kalyanam, 2015. "Position Effects in Search Advertising and their Moderators: A Regression Discontinuity Approach," Marketing Science, INFORMS, vol. 34(3), pages 388-407, May.
    14. Papke, Leslie E. & Wooldridge, Jeffrey M., 2008. "Panel data methods for fractional response variables with an application to test pass rates," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 121-133, July.
    15. Guido Friebel & Michael Raith, 2004. "Abuse of Authority and Hierarchical Communication," RAND Journal of Economics, The RAND Corporation, vol. 35(2), pages 224-244, Summer.
    16. Il-Horn Hann & Jeffrey A. Roberts & Sandra A. Slaughter, 2013. "All Are Not Equal: An Examination of the Economic Returns to Different Forms of Participation in Open Source Software Communities," Information Systems Research, INFORMS, vol. 24(3), pages 520-538, September.
    17. Wang, Nan & Sun, Yongqiang & Shen, Xiao-Liang & Zhang, Xi, 2018. "A value-justice model of knowledge integration in wikis: The moderating role of knowledge equivocality," International Journal of Information Management, Elsevier, vol. 43(C), pages 64-75.
    18. Paulo B. Goes & Chenhui Guo & Mingfeng Lin, 2016. "Do Incentive Hierarchies Induce User Effort? Evidence from an Online Knowledge Exchange," Information Systems Research, INFORMS, vol. 27(3), pages 497-516, September.
    19. Liangfei Qiu & Subodha Kumar, 2017. "Understanding Voluntary Knowledge Provision and Content Contribution Through a Social-Media-Based Prediction Market: A Field Experiment," Information Systems Research, INFORMS, vol. 28(3), pages 529-546, September.
    20. Jingchuan Pu & Yuan Chen & Liangfei Qiu & Hsing Kenneth Cheng, 2020. "Does Identity Disclosure Help or Hurt User Content Generation? Social Presence, Inhibition, and Displacement Effects," Information Systems Research, INFORMS, vol. 31(2), pages 297-322, June.
    21. David Godes & José C. Silva, 2012. "Sequential and Temporal Dynamics of Online Opinion," Marketing Science, INFORMS, vol. 31(3), pages 448-473, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dong, Lingfeng & Wu, Zhenwei & Ji, Ting & Tu, Yu, 2024. "Informing or persuading? Unveiling the complex dynamics of live chat in online labor markets," Journal of Retailing and Consumer Services, Elsevier, vol. 80(C).
    2. Mariia Petryk & Michael Rivera & Siddharth Bhattacharya & Liangfei Qiu & Subodha Kumar, 2022. "How Network Embeddedness Affects Real-Time Performance Feedback: An Empirical Investigation," Information Systems Research, INFORMS, vol. 33(4), pages 1467-1489, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jingchuan Pu & Yuan Chen & Liangfei Qiu & Hsing Kenneth Cheng, 2020. "Does Identity Disclosure Help or Hurt User Content Generation? Social Presence, Inhibition, and Displacement Effects," Information Systems Research, INFORMS, vol. 31(2), pages 297-322, June.
    2. Jingchuan Pu, 2022. "Do Online Communities Improve Job Performance in the Geographically Dispersed Organization?," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 403-421, February.
    3. Yue Jin & Yong Tan & Jinghua Huang, 2022. "Managing contributor performance in knowledge‐sharing communities: A dynamic perspective," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 3945-3962, November.
    4. Chenhui (Julian) Guo & Tae Hun Kim & Anjana Susarla & Vallabh Sambamurthy, 2020. "Understanding Content Contribution Behavior in a Geosegmented Mobile Virtual Community: The Context of Waze," Information Systems Research, INFORMS, vol. 31(4), pages 1398-1420, December.
    5. Zhijun Yan & Lini Kuang & Liangfei Qiu, 2022. "Prosocial behaviors and economic performance: Evidence from an online mental healthcare platform," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3859-3876, October.
    6. Lei Xu & Tingting Nian & Luis Cabral, 2018. "What Makes Geeks Tick? A Study of Stack Overflow Careers," Working Papers 18-04, New York University, Leonard N. Stern School of Business, Department of Economics.
    7. DeVaro, Jed & Kim, Jin-Hyuk & Wagman, Liad & Wolff, Ran, 2018. "Motivation and performance of user-contributors: Evidence from a CQA forum," Information Economics and Policy, Elsevier, vol. 42(C), pages 56-65.
    8. Lei Xu & Tingting Nian & Luís Cabral, 2020. "What Makes Geeks Tick? A Study of Stack Overflow Careers," Management Science, INFORMS, vol. 66(2), pages 587-604, February.
    9. Shane Greenstein & Grace Gu & Feng Zhu, 2021. "Ideology and Composition Among an Online Crowd: Evidence from Wikipedians," Management Science, INFORMS, vol. 67(5), pages 3067-3086, May.
    10. Erdem Dogukan Yilmaz & Tim Meyer & Milan Miric, 2023. "Preventing Others from Commercializing Your Innovation: Evidence from Creative Commons Licenses," Papers 2309.00536, arXiv.org.
    11. Friess, Svenja & Rosendahl Huber, Laura, 2024. "Breaking The Ice: Can Initially Active Peers Improve Platform Engagement And Persistence?," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302443, Verein für Socialpolitik / German Economic Association.
    12. Ni Huang & Gordon Burtch & Bin Gu & Yili Hong & Chen Liang & Kanliang Wang & Dongpu Fu & Bo Yang, 2019. "Motivating User-Generated Content with Performance Feedback: Evidence from Randomized Field Experiments," Management Science, INFORMS, vol. 65(1), pages 327-345, January.
    13. Yuan Chen & Hsing Kenneth Cheng & Yang Liu & Jingchuan Pu & Liangfei Qiu & Ning Wang, 2022. "Knowledge‐sharing ties and equivalence in corporate online communities: A novel source to understand voluntary turnover," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3896-3913, October.
    14. Naveen Kumar & Liangfei Qiu & Subodha Kumar, 2022. "A Hashtag Is Worth a Thousand Words: An Empirical Investigation of Social Media Strategies in Trademarking Hashtags," Information Systems Research, INFORMS, vol. 33(4), pages 1403-1427, December.
    15. Yuchen Zhang & Jingjing Li & Tony W. Tong, 2022. "Platform governance matters: How platform gatekeeping affects knowledge sharing among complementors," Strategic Management Journal, Wiley Blackwell, vol. 43(3), pages 599-626, March.
    16. Johannes Loh & Tobias Kretschmer, 2023. "Online communities on competing platforms: Evidence from game wikis," Strategic Management Journal, Wiley Blackwell, vol. 44(2), pages 441-476, February.
    17. Qingfeng Zeng & Wei Zhuang & Qian Guo & Weiguo Fan, 2022. "What factors influence grassroots knowledge supplier performance in online knowledge platforms? Evidence from a paid Q&A service," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2507-2523, December.
    18. Gen-Yih Liao & Tzu-Ling Huang & Alan R. Dennis & Ching-I Teng, 2024. "The Influence of Media Capabilities on Knowledge Contribution in Online Communities," Information Systems Research, INFORMS, vol. 35(1), pages 165-183, March.
    19. Jing Wang & Gen Li & Kai-Lung Hui, 2022. "Monetary Incentives and Knowledge Spillover: Evidence from a Natural Experiment," Management Science, INFORMS, vol. 68(5), pages 3549-3572, May.
    20. Liuan Wang & Lu (Lucy) Yan & Tongxin Zhou & Xitong Guo & Gregory R. Heim, 2020. "Understanding Physicians’ Online-Offline Behavior Dynamics: An Empirical Study," Information Systems Research, INFORMS, vol. 31(2), pages 537-555, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orisre:v:33:y:2022:i:1:p:244-264. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.