Latest Sourcing Research (2018-2023)

Latest Publications on IS Sourcing (2018-2023)

Below is a list of publications on IS sourcing in the 11 Premier Journals from 2018 up to August 16, 2023, totaling 106 articles in alphabetical order:

  • Akkermans, H., van Oppen, W., Vos, B., & X. J. Ou, C. (2021). Reversing a relationship spiral: From vicious to virtuous cycles in IT outsourcing. Information Systems Journal, 31(2), 231–267.  https://doi.org/10.1111/isj.12309
  • Alam, S. L., & Sun, R. (2023). The role of system-use practices for sustaining motivation in crowdsourcing: A technology-in-practice perspective. Information Systems Journal, 33(4), 758–789.  https://doi.org/10.1111/isj.12423
  • Asatiani, A., Penttinen, E., & Kumar, A. (2019). Uncovering the nature of the relationship between outsourcing motivations and the degree of outsourcing: An empirical study on Finnish small and medium-sized enterprises. Journal of Information Technology, 34(1), 39–58.  https://doi.org/10.1177/0268396218816255
  • Bapna, R., Gupta, A., Ray, G., & Singh, S. (2023). Single-Sourcing vs. Multisourcing: An Empirical Analysis of Large Information Technology Outsourcing Arrangements. Information Systems Research, 34(3), 1109–1130. https://doi.org/10.1287/isre.2022.1170
  • Barua, A., & Mani, D. (2018). Reexamining the market value of information technology events. Information Systems Research, 29(1), 225–240.  https://doi.org/10.1287/isre.2017.0718
  • Bhattacharya, S., Gupta, A., & Hasija, S. (2018). Single-sourcing versus multisourcing: The roles of output verifiability on task modularity. MIS Quarterly: Management Information Systems, 42(4), 1171–1186.  https://doi.org/10.25300/MISQ/2018/14067
  • Bui, Q., Leo, E., & Adelakun, O. (2019). Exploring complexity and contradiction in information technology outsourcing: A set-theoretical approach. Journal of Strategic Information Systems, 28(3).  https://doi.org/10.1016/j.jsis.2019.07.001
  • Cai, J., Ke, D., Wu, J., & Luo, X. R. (2022). Get your report a thumb-up: An empirical investigation on crowd testing. Decision Support Systems, 158.  https://doi.org/10.1016/j.dss.2022.113781
  • Cao, F., Wang, W., Lim, E., Liu, X., & Tan, C.-W. (2022). Do Social Dominance-Based Faultlines Help or Hurt Team Performance in Crowdsourcing Tournaments? Journal of Management Information Systems, 39(1), 247–275.  https://doi.org/10.1080/07421222.2021.2023403
  • Chen, L., Xu, P., & Liu, D. (2020). Effect of Crowd Voting on Participation in Crowdsourcing Contests. Journal of Management Information Systems, 37(2), 510–535.  https://doi.org/10.1080/07421222.2020.1759342
  • Chen, M., Pang, M.-S., & Kumar, S. (2021). Do you have a room for us in your it? An economic analysis of shared it services and implications for it industries. MIS Quarterly: Management Information Systems, 45(1), 225–268.  https://doi.org/10.25300/MISQ/2021/15573
  • Cheng, X., Fu, S., de Vreede, T., de Vreede, G.-J., Seeber, I., Maier, R., & Weber, B. (2020). Idea Convergence Quality in Open Innovation Crowdsourcing: A Cognitive Load Perspective. Journal of Management Information Systems, 37(2), 349–376.  https://doi.org/10.1080/07421222.2020.1759344
  • Curto-Millet, D., & Cañibano, A. (2023). The Design of Social Inclusion Interventions: A Paradox Approach. Journal of the Association for Information Systems, 24(5), 1271–1291. https://doi.org/10.17705/1jais.00795
  • Daniel, S., Midha, V., Bhattacherhjee, A., & Singh, S. P. (2018). Sourcing knowledge in open source software projects: The impacts of internal and external social capital on project success. Journal of Strategic Information Systems, 27(3), 237–256.  https://doi.org/10.1016/j.jsis.2018.04.002
  • Dennis, A. R., Moravec, P. L., & Kim, A. (2023). Search & Verify: Misinformation and source evaluations in Internet search results. Decision Support Systems, 171.  https://doi.org/10.1016/j.dss.2023.113976
  • Dissanayake, I., Mehta, N., Palvia, P., Taras, V., & Amoako-Gyampah, K. (2019). Competition matters! Self-efficacy, effort, and performance in crowdsourcing teams. Information and Management, 56(8).  https://doi.org/10.1016/j.im.2019.04.001
  • Dissanayake, I., Nerur, S., Singh, R., & Lee, Y. (2019). Medical crowdsourcing: Harnessing the “wisdom of the crowd” to solve medical mysteries. Journal of the Association for Information Systems, 20(11), 1589–1610.  https://doi.org/10.17705/1jais.00579
  • Dissanayake, I., Nerur, S., Wang, J., Yasar, M., & Zhang, J. J. (2021). The impact of helping others in coopetitive crowdsourcing communities. Journal of the Association for Information Systems, 22(1), 67–101.  https://doi.org/10.17705/1jais.00654
  • Dissanayake, I., Zhang, J., Yasar, M., & Nerur, S. P. (2018). Strategic effort allocation in online innovation tournaments. Information and Management, 55(3), 396–406.  https://doi.org/10.1016/j.im.2017.09.006
  • Dong, J. Q., Wu, W., & Zhang, Y. S. (2019). The faster the better? Innovation speed and user interest in open source software. Information and Management, 56(5), 669–680.  https://doi.org/10.1016/j.im.2018.11.002
  • Du, W. D., & Mao, J.-Y. (2018). Developing and maintaining clients’ trust through institutional mechanisms in online service markets for digital entrepreneurs: A process model. Journal of Strategic Information Systems, 27(4), 296–310.  https://doi.org/10.1016/j.jsis.2018.07.001
  • Du, W., Pan, S. L., & Wu, J. (2020). How do IT outsourcing vendors develop capabilities? An organizational ambidexterity perspective on a multi-case study. Journal of Information Technology, 35(1), 49–65.  https://doi.org/10.1177/0268396219887756
  • Durward, D., Blohm, I., & Leimeister, J. M. (2020). The Nature of Crowd Work and its Effects on Individuals’ Work Perception. Journal of Management Information Systems, 37(1), 66–95.  https://doi.org/10.1080/07421222.2019.1705506
  • Ejodame, K., & Oshri, I. (2018). Understanding knowledge re-integration in backsourcing. Journal of Information Technology, 33(2), 136–150.  https://doi.org/10.1057/s41265-016-0007-5
  • Elbanna, A., & Idowu, A. (2022). Crowdwork, digital liminality and the enactment of culturally recognised alternatives to Western precarity: Beyond epistemological terra nullius. European Journal of Information Systems, 31(1), 128–144.  https://doi.org/10.1080/0960085X.2021.1981779
  • Fehrenbacher, D. D., & Wiener, M. (2019). The dual role of penalty: The effects of IT outsourcing contract framing on knowledge-sharing willingness and commitment. Decision Support Systems, 121, 62–71.  https://doi.org/10.1016/j.dss.2019.04.005
  • Feng, N., Chen, Y., Feng, H., Li, D., & Li, M. (2020). To outsource or not: The impact of information leakage risk on information security strategy. Information and Management, 57(5).  https://doi.org/10.1016/j.im.2019.103215
  • Gaebert, C., & Kautz, K. (2021). The contract-type choice for short-term software development outsourcing: The role of behaviour-based formal control. Journal of Information Technology, 36(3), 241–257.  https://doi.org/10.1177/0268396220967669
  • Gambal, M.-J., Asatiani, A., & Kotlarsky, J. (2022). Strategic innovation through outsourcing – A theoretical review. Journal of Strategic Information Systems, 31(2).  https://doi.org/10.1016/j.jsis.2022.101718
  • Gimpel, H., Graf-Drasch, V., Laubacher, R. J., & Wöhl, M. (2020). Facilitating like Darwin: Supporting cross-fertilisation in crowdsourcing. Decision Support Systems, 132.  https://doi.org/10.1016/j.dss.2020.113282
  • Goyal, S., Ahuja, M., & Kankanhalli, A. (2020). Does the source of external knowledge matter? Examining the role of customer co-creation and partner sourcing in knowledge creation and innovation. Information and Management, 57(6).  https://doi.org/10.1016/j.im.2020.103325
  • Gunaratne, J., Zalmanson, L., & Nov, O. (2018). The Persuasive Power of Algorithmic and Crowdsourced Advice. Journal of Management Information Systems, 35(4), 1092–1120.  https://doi.org/10.1080/07421222.2018.1523534
  • Guo, W., Straub, D., Zhang, P., & Cai, Z. (2021). How trust leads to commitment on microsourcing platforms: Unraveling the effects of governance and third-party mechanisms on triadic microsourcing relationships. MIS Quarterly: Management Information Systems, 45(3), 1309–1348.  https://doi.org/10.25300/MISQ/2021/14349
  • Han, Y., Ozturk, P., & Nickerson, J. V. (2020). Leveraging the wisdom of the crowd to address societal challenges: Revisiting the knowledge reuse for innovation process through analytics. Journal of the Association for Information Systems, 21(5), 1128–1152.  https://doi.org/10.17705/1jais.00632
  • Hornuf, L., & Jeworrek, S. (2022). The Effect of Community Managers on Online Idea Crowdsourcing Activities. Journal of the Association for Information Systems, 24(1), 222–248.  https://doi.org/10.17705/1jais.00777
  • Hsu, C., Lee, J.-N., Fang, Y., Straub, D. W., Su, N., & Ryu, H.-S. (2022). The Role of Vendor Legitimacy in IT Outsourcing Performance: Theory and Evidence. Information Systems Research, 33(1), 337–361.  https://doi.org/10.1287/isre.2021.1059
  • Huang, H., Hu, M., & Xu, H. (2023). Time-and-materials or revenue-sharing? Implications of monitoring for software outsourcing contract. Information and Management, 60(3).  https://doi.org/10.1016/j.im.2023.103776
  • Hui, K.-L., Ke, P. F., Yao, Y., & Yue, W. T. (2019). Bilateral liability-based contracts in information security outsourcing. Information Systems Research, 30(2), 411–429.  https://doi.org/10.1287/isre.2018.0812
  • Hwang, E. H., Singh, P. V., & Argote, L. (2019). Jack of all, master of some: Information network and innovation in crowdsourcing communities. Information Systems Research, 30(2), 389–410.  https://doi.org/10.1287/isre.2018.0804
  • Idowu, A., & Elbanna, A. (2021). Crowdworkers, social affirmation and work identity: Rethinking dominant assumptions of crowdwork 1. Information and Organization, 31(4).  https://doi.org/10.1016/j.infoandorg.2021.100335
  • Ismailoglu, F. (2022). Aggregating user preferences in group recommender systems: A crowdsourcing approach. Decision Support Systems, 152.  https://doi.org/10.1016/j.dss.2021.113663
  • Jespersen, K. R. (2018). Crowdsourcing design decisions for optimal integration into the company innovation system. Decision Support Systems, 115, 52–63.  https://doi.org/10.1016/j.dss.2018.09.005
  • Jian, L., Yang, S., Ba, S., Lu, L., & Jiang, L. C. (2019). Managing the crowds: The effect of prize guarantees and in-process feedback on participation in crowdsourcing contests. MIS Quarterly: Management Information Systems, 43(1), 97–112.  https://doi.org/10.25300/MISQ/2019/13649
  • Jiang, L., Wagner, C., & Chen, X. (2021). Taking time into account: Understanding microworkers’ continued participation in microtasks. Journal of the Association for Information Systems, 22(4), 893–930.  https://doi.org/10.17705/1jais.00684
  • Jin, Y., Cheung, H., Lee, B., Ba, S., & Stallaert, J. (2021). Winning by learning? Effect of knowledge sharing in crowdsourcing contests. Information Systems Research, 32(3), 836–859.  https://doi.org/10.1287/ISRE.2020.0982
  • Karimi-Alaghehband, F., & Rivard, S. (2019). Information technology outsourcing and architecture dynamic capabilities as enablers of organizational agility. Journal of Information Technology, 34(2), 129–159.  https://doi.org/10.1177/0268396218816271
  • Karimi-Alaghehband, F., & Rivard, S. (2020). IT outsourcing success: A dynamic capability-based model. Journal of Strategic Information Systems, 29(1).  https://doi.org/10.1016/j.jsis.2020.101599
  • Khalil, S., & Winkler, T. J. (2023). How software as a service simultaneously affords organizational agility and inertia. Journal of Strategic Information Systems. 32(4). https://doi.org/10.1016/j.jsis.2023.101804
  • Khan, S., Lacity, M., & Carmel, E. (2018). Entrepreneurial impact sourcing: A conceptual framework of social and commercial institutional logics. 28(3), 538–562.  https://doi.org/10.1111/isj.12134
  • Koh, T. K. (2019). Adopting seekers’ solution exemplars in crowdsourcing ideation contests: Antecedents and consequences. Information Systems Research, 30(2), 486–506.  https://doi.org/10.1287/isre.2018.0810
  • Koh, T. K., & Cheung, M. Y. M. (2022). Seeker Exemplars and Quantitative Ideation Outcomes in Crowdsourcing Contests. Information Systems Research, 33(1), 265–284.  https://doi.org/10.1287/isre.2021.1054
  • Koo, Y., Park, Y., Ham, J., & Lee, J.-N. (2019). Congruent patterns of outsourcing capabilities: A bilateral perspective. Journal of Strategic Information Systems, 28(4).  https://doi.org/10.1016/j.jsis.2019.101580
  • Krancher, O., Oshri, I., Kotlarsky, J., & Dibbern, J. (2022). Bilateral, Collective, or Both? Formal Governance and Performance in Multisourcing. Journal of the Association for Information Systems, 23(5), 1211–1234.  https://doi.org/10.17705/1jais.00751
  • Kranz, J. (2021). Strategic innovation in IT outsourcing: Exploring the differential and interaction effects of contractual and relational governance mechanisms. Journal of Strategic Information Systems, 30(1).  https://doi.org/10.1016/j.jsis.2021.101656
  • Langer, N., & Mani, D. (2018). Impact of Formal Controls on Client Satisfaction and Profitability in Strategic Outsourcing Contracts. Journal of Management Information Systems, 35(4), 998–1030.  https://doi.org/10.1080/07421222.2018.1522895
  • Lee, H. C. B., Ba, S., Li, X., & Stallaert, J. (2018). Salience bias in crowdsourcing contests. Information Systems Research, 29(2), 401–418.  https://doi.org/10.1287/isre.2018.0775
  • Lee, J.-N., Park, Y., Straub, D. W., & Koo, Y. (2019). Holistic archetypes of IT outsourcing strategy: A contingency fit and configurational approach. MIS Quarterly: Management Information Systems, 43(4), 1201–1225.  https://doi.org/10.25300/MISQ/2019/14370
  • Li, H., & Yoo, S. (2022). From information systems resources to effective use: Moderating effect of network embeddedness. Journal of Strategic Information Systems, 31(3).  https://doi.org/10.1016/j.jsis.2022.101735
  • Li, H., Yoo, S., & Kettinger, W. J. (2021). The Roles of IT Strategies and Security Investments in Reducing Organizational Security Breaches. Journal of Management Information Systems, 38(1), 222–245.  https://doi.org/10.1080/07421222.2021.1870390
  • Li, Y., & Zhao, L. (2022). Collaborating with Bounty Hunters: How to Encourage White Hat Hackers’ Participation in Vulnerability Crowdsourcing Programs through Formal and Relational Governance. Information and Management, 59(4).  https://doi.org/10.1016/j.im.2022.103648
  • Li, Y.-M., Hsieh, C.-Y., Lin, L.-F., & Wei, C.-H. (2021). A social mechanism for task-oriented crowdsourcing recommendations. Decision Support Systems, 141.  https://doi.org/10.1016/j.dss.2020.113449
  • Liang, C., Hong, Y., Chen, P.-Y., & Shao, B. B. M. (2022). The Screening Role of Design Parameters for Service Procurement Auctions in Online Service Outsourcing Platforms. Information Systems Research, 33(4), 1324–1343.  https://doi.org/10.1287/isre.2022.1168
  • Liu, Q., Du, Q., Hong, Y., Fan, W., & Wu, S. (2020). User idea implementation in open innovation communities: Evidence from a new product development crowdsourcing community. Information Systems Journal, 30(5), 899–927.  https://doi.org/10.1111/isj.12286
  • Liu, S., Keil, M., Wang, L., & Lu, Y. (2023). Understanding critical risks of business process outsourcing from the vendor perspective: A dyadic comparison Delphi study. Information and Management, 60(6).  https://doi.org/10.1016/j.im.2023.103837
  • Lukyanenko, R., Parsons, J., Wiersma, Y. F., & Maddah, M. (2019). Expecting the unexpected: Effects of data collection design choices on the quality of crowdsourced user-generated content1. MIS Quarterly: Management Information Systems, 43(2), 634–647.  https://doi.org/10.25300/MISQ/2019/14439
  • Madon, S., & Ranjini, C. R. (2019). Impact sourcing in India: Trends and implications. Information Systems Journal, 29(5), 994–1009.  https://doi.org/10.1111/isj.12220
  • Mähring, M., Wiener, M., & Remus, U. (2018). Getting the control across: Control transmission in information systems offshoring projects. Information Systems Journal, 28(4), 708–728.  https://doi.org/10.1111/isj.12155
  • Malik, F., & Nicholson, B. (2020). Understanding the interplay of institutional logics and management practices in impact sourcing. Information Systems Journal, 30(1), 125–149.  https://doi.org/10.1111/isj.12254
  • Mo, J., Sarkar, S., & Menon, S. (2018). Know when to run: Recommendations in crowdsourcing contests. MIS Quarterly: Management Information Systems, 42(3), 919–943.  https://doi.org/10.25300/MISQ/2018/14103
  • Moayedikia, A., Ghaderi, H., & Yeoh, W. (2020). Optimizing microtask assignment on crowdsourcing platforms using Markov chain Monte Carlo. Decision Support Systems, 139.  https://doi.org/10.1016/j.dss.2020.113404
  • Moayedikia, A., Yeoh, W., Ong, K.-L., & Boo, Y. L. (2019). Improving accuracy and lowering cost in crowdsourcing through an unsupervised expertise estimation approach. Decision Support Systems, 122.  https://doi.org/10.1016/j.dss.2019.05.005
  • Nevo, D., & Kotlarsky, J. (2020). Crowdsourcing as a strategic IS sourcing phenomenon: Critical review and insights for future research. Journal of Strategic Information Systems, 29(4).  https://doi.org/10.1016/j.jsis.2020.101593
  • Nguyen, C., Jensen, M. L., Durcikova, A., & Wright, R. T. (2021). A comparison of features in a crowdsourced phishing warning system. Information Systems Journal, 31(3), 473–513.  https://doi.org/10.1111/isj.12318
  • O’Leary, D. E. (2019). An empirical analysis of information search and information sharing in crowdsourcing data analytic contests. Decision Support Systems, 120, 1–13.  https://doi.org/10.1016/j.dss.2019.03.003
  • Oshri, I., Arkhipova, D., & Vaia, G. (2018). Exploring the effect of familiarity and advisory services on innovation outcomes in outsourcing settings. Journal of Information Technology, 33(3), 203–215.  https://doi.org/10.1057/s41265-018-0052-3
  • Oshri, I., Dibbern, J., Kotlarsky, J., & Krancher, O. (2019). An Information Processing View on Joint Vendor Performance in Multi-Sourcing: The Role of the Guardian. Journal of Management Information Systems, 36(4), 1248–1283.  https://doi.org/10.1080/07421222.2019.1661091
  • Oshri, I., Henfridsson, O., & Kotlarsky, J. (2018). Re-representation as work design in outsourcing: A semiotic view. MIS Quarterly: Management Information Systems, 42(1), 1–23.  https://doi.org/10.25300/MISQ/2018/13427
  • Pelizza, A. (2021). Towards a sociomaterial approach to inter-organizational boundaries: How information systems elicit relevant knowledge in government outsourcing. Journal of Information Technology, 36(2), 94–108.  https://doi.org/10.1177/0268396220934490
  • Peukert, C. (2019). Determinants and heterogeneity of switching costs in IT outsourcing: Estimates from firm-level data. European Journal of Information Systems, 28(3), 291–317.  https://doi.org/10.1080/0960085X.2018.1529374
  • Ramasubbu, N., & Kemerer, C. F. (2021). Controlling Technical Debt Remediation in Outsourced Enterprise Systems Maintenance: An Empirical Analysis. Journal of Management Information Systems, 38(1), 4–28.  https://doi.org/10.1080/07421222.2021.1870377
  • Rapp, A. (2022). Time, engagement and video games: How game design elements shape the temporalities of play in massively multiplayer online role-playing games. Information Systems Journal, 32(1), 5–32.  https://doi.org/10.1111/isj.12328
  • Sandeep, M. S., & Ravishankar, M. N. (2018). Sociocultural transitions and developmental impacts in the digital economy of impact sourcing. 28(3), 563–586.  https://doi.org/10.1111/isj.12149
  • Schlagwein, D., Cecez-Kecmanovic, D., & Hanckel, B. (2019). Ethical norms and issues in crowdsourcing practices: A Habermasian analysis. 29(4), 811–837.  https://doi.org/10.1111/isj.12227
  • Shivendu, S., Zeng, D., & Gurbaxani, V. (2020). Optimal asset transfer in it outsourcing contracts. MIS Quarterly: Management Information Systems, 44(2), 857–906.  https://doi.org/10.25300/MISQ/2020/12336
  • Simaei, A., Hirschheim, R., & Schneider, H. (2023). Idea crowdsourcing platforms for new product development: A study of idea quality and the number of submitted ideas. Decision Support Systems.  https://doi.org/10.1016/j.dss.2023.114041
  • Soliman, W., & Rinta-Kahila, T. (2023). Unethical but not illegal! A critical look at two-sided disinformation platforms: Justifications, critique, and a way forward. Journal of Information Technology.  https://doi.org/10.1177/02683962231181145
  • Soliman, W., & Tuunainen, V. K. (2022). A tale of two frames: Exploring the role of framing in the use discontinuance of volitionally adopted technology. Information Systems Journal, 32(3), 473–519.  https://doi.org/10.1111/isj.12355
  • Susarla, A., & Mukhopadhyay, T. (2019). Can outsourcing of information technology foster innovations in client organizations? An empirical analysis. MIS Quarterly: Management Information Systems, 43(3), 929–949.  https://doi.org/10.25300/MISQ/2019/13535
  • Taylor, J., & Joshi, K. D. (2019). Joining the crowd: The career anchors of information technology workers participating in crowdsourcing. Information Systems Journal, 29(3), 641–673.  https://doi.org/10.1111/isj.12225
  • Tchuente, D., Senninger, D., Pietsch, H., & Gasdzik, D. (2021). Providing more regular road signs infrastructure updates for connected driving: A crowdsourced approach with clustering and confidence level. Decision Support Systems, 141.  https://doi.org/10.1016/j.dss.2020.113443
  • Wagner, G., Prester, J., & Paré, G. (2021). Exploring the boundaries and processes of digital platforms for knowledge work: A review of information systems research. Journal of Strategic Information Systems, 30(4).  https://doi.org/10.1016/j.jsis.2021.101694
  • Wang, M., & Cui, X. (2023). The role of rating feedback and its implications for solver submission behavior in crowdsourcing contests. Information and Management, 60(5).  https://doi.org/10.1016/j.im.2023.103790
  • Wolverton, C. C., Hirschheim, R., Black, W. C., & Burleson, J. (2020). Outsourcing success in the eye of the beholder: Examining the impact of expectation confirmation theory on IT outsourcing. Information and Management, 57(6).  https://doi.org/10.1016/j.im.2019.103236
  • Wu, S., Liu, Q., Zhao, X., Sun, B., & Liao, X. (2023). Attracting solvers’ participation in crowdsourcing contests: The role of linguistic signals in task descriptions. Information Systems Journal. https://doi.org/10.1111/isj.12462
  • Wu, P., Ngai, E. W. T., & Wu, Y. (2018). Toward a real-time and budget-aware task package allocation in spatial crowdsourcing. Decision Support Systems, 110, 107–117.  https://doi.org/10.1016/j.dss.2018.03.010
  • Wu, Y., Tayi, G. K., Feng, G., & Fung, R. Y. K. (2021). Managing information security outsourcing in a dynamic cooperation environment. Journal of the Association for Information Systems, 22(3), 827–850.  https://doi.org/10.17705/1jais.00681
  • Wu, Z., Peng, L., & Xiang, C. (2023). Assuring quality and waiting time in real-time spatial crowdsourcing. Decision Support Systems, 164.  https://doi.org/10.1016/j.dss.2022.113869
  • Xu, D., Hu, P. J.-H., & Fang, X. (2023). Deep Learning-Based Imputation Method to Enhance Crowdsourced Data on Online Business Directory Platforms for Improved Services. Journal of Management Information Systems, 40(2), 624–654.  https://doi.org/10.1080/07421222.2023.2196770
  • Yan, B., & Hollingshead, A. B. (2022). Motivating the Motivationally Diverse Crowd: Social Value Orientation and Reward Structure in Crowd Idea Generation. Journal of Management Information Systems, 39(4), 1064–1088.  https://doi.org/10.1080/07421222.2022.2127451
  • Yan, J. K., Leidner, D. E., & Benbya, H. (2018). Differential Innovativeness Outcomes of User and Employee Participation in an Online User Innovation Community. Journal of Management Information Systems, 35(3), 900–933.  https://doi.org/10.1080/07421222.2018.1481669
  • Ye, J., & Jensen, M. (2022). Effects of introducing an online community in a crowdsourcing contest platform. Information Systems Journal.  https://doi.org/10.1111/isj.12397
  • Yin, X., Zhu, K., Wang, H., Zhang, J., Wang, W., & Zhang, H. (2022). Motivating participation in crowdsourcing contests: The role of instruction-writing strategy. Information and Management, 59(3).  https://doi.org/10.1016/j.im.2022.103616
  • Zhang, S., Pan, S. L., & Ouyang, T. H. (2020). Building social translucence in a crowdsourcing process: A case study of Miui.com. Information and Management, 57(2).  https://doi.org/10.1016/j.im.2019.103172
  • Zhang, S., Singh, P. V., & Ghose, A. (2019). A structural analysis of the role of superstars in crowdsourcing contests. Information Systems Research, 30(1), 15–33.  https://doi.org/10.1287/isre.2017.0767
  • Zhang, Y., Hua, L., Jiao, Y., Zhang, J., & Saini, R. (2023). More than watching: An empirical and experimental examination on the impacts of live streaming user-generated video consumption. Information and Management, 60(3).  https://doi.org/10.1016/j.im.2023.103771
  • Zhao, Z., & Oberoi, P. (2022). Designing crowdsolving Ba: A closer look at the features of crowdsolving platforms to manage organizational knowledge. Information and Management, 59(4).  https://doi.org/10.1016/j.im.2022.103641
  • Zheng, H., Xu, B., Hao, L., & Lin, Z. (2018). Reversed loss aversion in crowdsourcing contest. European Journal of Information Systems, 27(4), 434–448.  https://doi.org/10.1057/s41303-017-0061-2
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