IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v123y2024ics0305048323001378.html
   My bibliography  Save this article

Impact of consumer valuation updating in a competitive software market

Author

Listed:
  • Peng, Shuxia
  • Li, Bo
  • Zheng, Wei

Abstract

Software is an experiential product, and it is difficult for consumers to predict whether software matches their preferences before using it. The software vendor usually upgrades software based on the previous version, which is an effective way for existing consumers to find their true valuation. This paper considers a competitive software market with an incumbent and an entrant. Consumers who have experienced the incumbent's previous version of the software can alleviate their uncertainty about the incumbent's upgraded version, while they are uninformed about the entrant's software. This study constructs two scenarios with and without consumer valuation updating under the environment of consumers’ valuation uncertainty. We explore the optimal pricing decisions and market structure in a competitive market, and the impacts of signal accuracy on market structure and software vendors’ profits. Further, we compare the two scenarios to analyze the effects of consumers’ valuation updating. We find that in the scenario with consumer valuation updating, there are three equilibrium outcomes: Market Segmentation Equilibrium, Incumbent Dominance Equilibrium, and Entry Deterrence Equilibrium. In addition, the results show that improved signal accuracy can enlarge the region of Entry Deterrence Equilibrium under certain conditions, but does not always increase the incumbent's profit. Furthermore, we find that consumers’ valuation updating of the incumbent's upgraded version leads to a stronger willingness of the incumbent to share the market with the entrant. We also show that the incumbent and the entrant can achieve a win‒win situation in the scenario with consumers’ valuation updating.

Suggested Citation

  • Peng, Shuxia & Li, Bo & Zheng, Wei, 2024. "Impact of consumer valuation updating in a competitive software market," Omega, Elsevier, vol. 123(C).
  • Handle: RePEc:eee:jomega:v:123:y:2024:i:c:s0305048323001378
    DOI: 10.1016/j.omega.2023.102973
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305048323001378
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.omega.2023.102973?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Baojun Jiang & Lin Tian & Yifan Xu & Fuqiang Zhang, 2016. "To Share or Not to Share: Demand Forecast Sharing in a Distribution Channel," Marketing Science, INFORMS, vol. 35(5), pages 800-809, September.
    2. Guan, Xu & Wang, Yulan, 2022. "Quality disclosure in a competitive environment with consumer’s elation and disappointment," Omega, Elsevier, vol. 108(C).
    3. Young Kwark & Jianqing Chen & Srinivasan Raghunathan, 2014. "Online Product Reviews: Implications for Retailers and Competing Manufacturers," Information Systems Research, INFORMS, vol. 25(1), pages 93-110, March.
    4. Raphael Boleslavsky & Christopher S. Cotton & Haresh Gurnani, 2017. "Demonstrations and Price Competition in New Product Release," Management Science, INFORMS, vol. 63(6), pages 2016-2026, June.
    5. Debabrata Dey & Abhijeet Ghoshal & Atanu Lahiri, 2021. "Support Forums and Software Vendor’s Pricing Strategy," Information Systems Research, INFORMS, vol. 32(2), pages 653-669, June.
    6. Yufei Huang & Bilal Gokpinar & Christopher S. Tang & Onesun Steve Yoo, 2018. "Selling Innovative Products in the Presence of Externalities," Production and Operations Management, Production and Operations Management Society, vol. 27(7), pages 1236-1250, July.
    7. Oben Ceryan & Izak Duenyas & Ozge Sahin, 2018. "Dynamic Pricing and Replenishment with Customer Upgrades," Production and Operations Management, Production and Operations Management Society, vol. 27(4), pages 663-679, April.
    8. Yili (Kevin) Hong & Paul A. Pavlou, 2014. "Product Fit Uncertainty in Online Markets: Nature, Effects, and Antecedents," Information Systems Research, INFORMS, vol. 25(2), pages 328-344, June.
    9. Zhiling Guo & Jianqing Chen, 2018. "Multigeneration Product Diffusion in the Presence of Strategic Consumers," Information Systems Research, INFORMS, vol. 29(1), pages 206-224, March.
    10. Zhang, Yingdan & Yang, Ruina & Yi, Zelong & Yao, Shiqing & Jing, Yiheng, 2023. "Behavior-Based pricing under asymmetric channel competition with strategic consumers," Omega, Elsevier, vol. 120(C).
    11. Amit Mehra & Ram Bala & Ramesh Sankaranarayanan, 2012. "Competitive Behavior-Based Price Discrimination for Software Upgrades," Information Systems Research, INFORMS, vol. 23(1), pages 60-74, March.
    12. Ramnath K. Chellappa & Shivendu Shivendu, 2005. "Managing Piracy: Pricing and Sampling Strategies for Digital Experience Goods in Vertically Segmented Markets," Information Systems Research, INFORMS, vol. 16(4), pages 400-417, December.
    13. Sun, Chunhua & Fang, Yuan & Kong, Meng & Chen, Xiayu & Liu, Yezheng, 2022. "Influence of augmented reality product display on consumers’ product attitudes: A product uncertainty reduction perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    14. Atanu Lahiri & Debabrata Dey, 2018. "Versioning and Information Dissemination: A New Perspective," Information Systems Research, INFORMS, vol. 29(4), pages 965-983, December.
    15. Schmalensee, Richard, 1982. "Product Differentiation Advantages of Pioneering Brands," American Economic Review, American Economic Association, vol. 72(3), pages 349-365, June.
    16. Wei, Wanying & Liu, Weihua & Tang, Ou & Dong, Chuanwen & Liang, Yanjie, 2023. "CSR investment for a two-sided platform: Network externality and risk aversion," European Journal of Operational Research, Elsevier, vol. 307(2), pages 694-712.
    17. Yifan Dou & Yu Jeffrey Hu & D. J. Wu, 2017. "Selling or Leasing? Pricing Information Goods with Depreciation of Consumer Valuation," Information Systems Research, INFORMS, vol. 28(3), pages 585-602, September.
    18. Steven C. Salop, 1979. "Monopolistic Competition with Outside Goods," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 141-156, Spring.
    19. Ki-Eun Rhee & Raphael Thomadsen, 2017. "Behavior-Based Pricing in Vertically Differentiated Industries," Management Science, INFORMS, vol. 63(8), pages 2729-2740, August.
    20. Wang, Yu & Li, Minqiang & Feng, Haiyang & Feng, Nan, 2023. "Which is better for competing firms with quality increasing: behavior-based price discrimination or uniform pricing?," Omega, Elsevier, vol. 118(C).
    21. Jia, Kunhao & Liao, Xiuwu & Feng, Juan, 2018. "Selling or leasing? Dynamic pricing of software with upgrades," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1044-1061.
    22. Yangyang Sun & Chuangyin Dang & Gengzhong Feng, 2021. "Optimal versioning strategies for software firms in the competitive environment," International Journal of Production Research, Taylor & Francis Journals, vol. 59(22), pages 6881-6897, November.
    23. Guofang Nan & Xingtao Li & Zan Zhang & Minqiang Li, 2018. "Optimal pricing for new product entry under free strategy," Information Technology and Management, Springer, vol. 19(1), pages 1-19, March.
    24. Yi, Zelong & Li, Fan & Ma, Lijun, 2019. "The impact of distribution channels on trial-version provision with a positive network effect," Omega, Elsevier, vol. 85(C), pages 115-133.
    25. Zhong, Yuyun & Shen, Wenjing & Ceryan, Oben, 2023. "Information provision under showrooming and webrooming," Omega, Elsevier, vol. 114(C).
    26. Guo, Qiaozhen & Chen, Ying-Ju & Huang, Wei, 2022. "Dynamic pricing of new experience products with dual-channel social learning and online review manipulations," Omega, Elsevier, vol. 109(C).
    27. Jiang, Zhong-Zhong & Zhao, Jinlong & Zhang, Yinghao & Yi, Zelong, 2022. "Unraveling the cheap talk’s informativeness of product quality in supply chains: A lying aversion perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    28. Glenn Ellison & Drew Fudenberg, 2000. "The Neo-Luddite's Lament: Excessive Upgrades in the Software Industry," RAND Journal of Economics, The RAND Corporation, vol. 31(2), pages 253-272, Summer.
    29. Lin Hao & Yong Tan, 2019. "Who Wants Consumers to Be Informed? Facilitating Information Disclosure in a Distribution Channel," Service Science, INFORMS, vol. 30(1), pages 34-49, March.
    30. Johnson, Eric J & Russo, J Edward, 1984. "Product Familiarity and Learning New Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(1), pages 542-550, June.
    31. Zhang, Tao & Li, Gang & Tayi, Giri Kumar, 2023. "A strategic analysis of virtual showrooms deployment in online retail platforms," Omega, Elsevier, vol. 117(C).
    32. Cui Zhao & Xiaojun Wang & Yongbo Xiao & Jie Sheng, 2022. "Effects of online reviews and competition on quality and pricing strategies," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3840-3858, October.
    33. Nabita Penmetsa & Esther Gal-Or & Jerrold May, 2015. "Dynamic Pricing of New Services in Subscription Markets," Production and Operations Management, Production and Operations Management Society, vol. 24(6), pages 896-916, June.
    34. Chen, Yujing & Zhong, Yuanguang & Cheng, T.C.E., 2023. "Impacts of the minimum quantity contract on an online retail platform," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1236-1247.
    35. Wu, Lingli & Deng, Shiming & Jiang, Xuan, 2018. "Sampling and pricing strategy under competition," Omega, Elsevier, vol. 80(C), pages 192-208.
    Full references (including those not matched with items on IDEAS)

    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. Zhong, Yuyun & Shen, Wenjing & Ceryan, Oben, 2023. "Information provision under showrooming and webrooming," Omega, Elsevier, vol. 114(C).
    2. Zan Zhang & Guofang Nan & Minqiang Li & Yong Tan, 2022. "Competitive Entry of Information Goods Under Quality Uncertainty," Management Science, INFORMS, vol. 68(4), pages 2869-2888, April.
    3. Lu, Yusheng & Duan, Yongrui, 2024. "Strategic live streaming choices for vertically differentiated products," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    4. Juan Feng & Xin Li & Xiaoquan (Michael) Zhang, 2019. "Online Product Reviews-Triggered Dynamic Pricing: Theory and Evidence," Information Systems Research, INFORMS, vol. 30(4), pages 1107-1123, December.
    5. Wang, Yu & Li, Minqiang & Feng, Haiyang & Feng, Nan, 2023. "Which is better for competing firms with quality increasing: behavior-based price discrimination or uniform pricing?," Omega, Elsevier, vol. 118(C).
    6. Yili (Kevin) Hong & Paul A. Pavlou, 2014. "Product Fit Uncertainty in Online Markets: Nature, Effects, and Antecedents," Information Systems Research, INFORMS, vol. 25(2), pages 328-344, June.
    7. Sun, Yanhong & Wang, Zihan & Han, Xiaohua, 2020. "Supply chain channel strategies for online retailers: Whether to introduce web showrooms?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    8. Christian Matt & Thomas Hess, 2016. "Product fit uncertainty and its effects on vendor choice: an experimental study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(1), pages 83-93, February.
    9. Jia, Kunhao & Liao, Xiuwu & Feng, Juan, 2018. "Selling or leasing? Dynamic pricing of software with upgrades," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1044-1061.
    10. He, Xiang & Li, Michael Z.F. & Li, Li & Li, Jing & Hu, Jiao, 2024. "Competitive pricing and advertising strategies for online retailers with “showrooming” and “webrooming”," European Journal of Operational Research, Elsevier, vol. 316(2), pages 617-638.
    11. Kutsal Doğan & Yonghua Ji & Vijay S. Mookerjee & Suresh Radhakrishnan, 2011. "Managing the Versions of a Software Product Under Variable and Endogenous Demand," Information Systems Research, INFORMS, vol. 22(1), pages 5-21, March.
    12. Zhang, Qiao & Chen, Jing & Zaccour, Georges, 2020. "Market targeting and information sharing with social influences in a luxury supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    13. Liangfei Qiu & Arunima Chhikara & Asoo Vakharia, 2021. "Multidimensional Observational Learning in Social Networks: Theory and Experimental Evidence," Information Systems Research, INFORMS, vol. 32(3), pages 876-894, September.
    14. Giuliano Masiero & Hugh Gravelle, 2000. "Quality incentives under a capitation regime: the role of patient expectations," Departmental Working Papers 2000-07, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    15. Tunç, Murat & Cavusoglu, Huseyin & Raghunathan, Srinivasan, 2021. "Online product reviews : Is a finer-grained rating scheme superior to a coarser one?," Other publications TiSEM ec57cbf3-7415-4427-aafc-6, Tilburg University, School of Economics and Management.
    16. Gravelle, Hugh & Masiero, Giuliano, 2000. "Quality incentives in a regulated market with imperfect information and switching costs: capitation in general practice," Journal of Health Economics, Elsevier, vol. 19(6), pages 1067-1088, November.
    17. Jyotishka Ray & Syam Menon & Vijay Mookerjee, 2020. "Bargaining over Data: When Does Making the Buyer More Informed Help?," Information Systems Research, INFORMS, vol. 31(1), pages 1-15, March.
    18. Peng, Shuxia & Li, Bo & Wu, Shuang, 2023. "Presence of piracy and legal protection: Decisions in the digital goods market under different contracts," European Journal of Operational Research, Elsevier, vol. 309(2), pages 578-596.
    19. Jürgen Neumann, 2021. "When Biased Ratings Benefit the Consumer - An Economic Analysis of Online Ratings in Markets with Variety-Seeking Consumers," Working Papers Dissertations 77, Paderborn University, Faculty of Business Administration and Economics.
    20. de Haas, Samuel & Herold, Daniel & Schäfer, Jan Thomas, 2022. "Entry deterrence due to brand proliferation: Empirical evidence from the German interurban bus industry," International Journal of Industrial Organization, Elsevier, vol. 83(C).

    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:eee:jomega:v:123:y:2024:i:c:s0305048323001378. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description .

    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.