IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v122y2024ics0305048323001317.html
   My bibliography  Save this article

Online investor attention and firm restructuring performance: Insights from an event-based DEA-Tobit model

Author

Listed:
  • Li, Hui
  • Wu, Dongdong

Abstract

Tourism firms frequently undergo restructuring to mitigate survival risks and enhance firm value. However, whether restructuring benefits for the formation of scale and synergistic effects remains unknown. In this paper, we aim to provide an approach to measure the scale effect brought by restructuring activities and investigate the determinants of performance from the scale effect of tourism firm restructuring. Drawing on efficiency theory, we propose an event-based data envelopment analysis method to measure restructuring performance by constructing dynamic event windows. Building on the complementarity of the attention-based view and the upper echelons theory, we uncover the transmission mechanism between managers and investors. Our results reveal that: (1) operating efficiency gains gradually decrease as event windows extend, while the proportion of increasing returns to scale grows across most tourism restructuring strategies; (2) Tobit regression analysis verifies an inverted U-shaped relationship between investor attention to online posting behavior and restructuring performance; and (3) the interaction between investor attention to online search and posting behavior strengthens the influence of investor attention on restructuring performance. This study sheds light on the complexities of restructuring in the tourism industry and highlights the importance of considering the impact of online investor attention on firm performance.

Suggested Citation

  • Li, Hui & Wu, Dongdong, 2024. "Online investor attention and firm restructuring performance: Insights from an event-based DEA-Tobit model," Omega, Elsevier, vol. 122(C).
  • Handle: RePEc:eee:jomega:v:122:y:2024:i:c:s0305048323001317
    DOI: 10.1016/j.omega.2023.102967
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305048323001317
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.omega.2023.102967?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. Sainaghi, Ruggero & Phillips, Paul & Zavarrone, Emma, 2017. "Performance measurement in tourism firms: A content analytical meta-approach," Tourism Management, Elsevier, vol. 59(C), pages 36-56.
    2. Wu, Jie & Xu, Guangcheng & Zhu, Qingyuan & Zhang, Chaochao, 2021. "Two-stage DEA models with fairness concern: Modelling and computational aspects," Omega, Elsevier, vol. 105(C).
    3. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    4. Lee, Hsuan-Shih & Chu, Ching-Wu & Zhu, Joe, 2011. "Super-efficiency DEA in the presence of infeasibility," European Journal of Operational Research, Elsevier, vol. 212(1), pages 141-147, July.
    5. Bai, Xue-jie & Zeng, Jin & Chiu, Yung-Ho, 2019. "Pre-evaluating efficiency gains from potential mergers and acquisitions based on the resampling DEA approach: Evidence from China's railway sector," Transport Policy, Elsevier, vol. 76(C), pages 46-56.
    6. Cook, Wade D. & Seiford, Lawrence M. & Zhu, Joe, 2004. "Models for performance benchmarking: measuring the effect of e-business activities on banking performance," Omega, Elsevier, vol. 32(4), pages 313-322, August.
    7. Yu, Tiffany Hui-Kuang & Huarng, Kun-Huang, 2020. "A new event study method to forecast stock returns: The case of Facebook," Journal of Business Research, Elsevier, vol. 115(C), pages 317-321.
    8. Douglas L. Miller, 2023. "An Introductory Guide to Event Study Models," Journal of Economic Perspectives, American Economic Association, vol. 37(2), pages 203-230, Spring.
    9. Peyrache, Antonio, 2013. "Industry structural inefficiency and potential gains from mergers and break-ups: A comprehensive approach," European Journal of Operational Research, Elsevier, vol. 230(2), pages 422-430.
    10. Peristiani, Stavros, 1997. "Do Mergers Improve the X-Efficiency and Scale Efficiency of U.S. Banks? Evidence from the 1980s," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(3), pages 326-337, August.
    11. Renneboog, Luc & Vansteenkiste, Cara, 2019. "Failure and success in mergers and acquisitions," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 650-699.
    12. Halkos, George E. & Tzeremes, Nickolaos G., 2013. "Estimating the degree of operating efficiency gains from a potential bank merger and acquisition: A DEA bootstrapped approach," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1658-1668.
    13. Lorraine Eden & Stewart R. Miller & Sarfraz Khan & Robert J. Weiner & Dan Li, 2022. "The event study in international business research: Opportunities, challenges, and practical solutions," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(5), pages 803-817, July.
    14. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    15. Forcadell, Francisco Javier & Sanchez-Riofrio, Angelica & Guerras-Martín, Luis Ángel & Romero-Jordán, Desiderio, 2020. "Is the restructuring-performance relationship moderated by the economic cycle and the institutional environment for corporate governance?," Journal of Business Research, Elsevier, vol. 110(C), pages 397-407.
    16. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    17. George E. Halkos & Roman Matousek & Nickolaos G. Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    18. Stéphane J. G. Girod & Richard Whittington, 2017. "Reconfiguration, restructuring and firm performance: Dynamic capabilities and environmental dynamism," Strategic Management Journal, Wiley Blackwell, vol. 38(5), pages 1121-1133, May.
    19. William Ocasio, 1997. "Towards An Attention‐Based View Of The Firm," Strategic Management Journal, Wiley Blackwell, vol. 18(S1), pages 187-206, July.
    20. Joe Zhu, 2022. "DEA under big data: data enabled analytics and network data envelopment analysis," Annals of Operations Research, Springer, vol. 309(2), pages 761-783, February.
    21. Arocena, Pablo & Saal, David S. & Urakami, Takuya & Zschille, Michael, 2020. "Measuring and decomposing productivity change in the presence of mergers," European Journal of Operational Research, Elsevier, vol. 282(1), pages 319-333.
    22. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    23. Liu, Ya-Fei & Li, Hui & Liang, Sai, 2022. "Any reputation is a good reputation: influence of investor-perceived reputation in restructuring on hospitality firm performance," Annals of Tourism Research, Elsevier, vol. 92(C).
    24. Renneboog, Luc & Vansteenkiste, Cara, 2019. "Failure and success in mergers and acquisitions," Other publications TiSEM 9baa3ffc-67cb-4647-9da5-a, Tilburg University, School of Economics and Management.
    25. Hui Li & Lu†Yao Hong & Yu†Chang Mo & Bang†Zhu Zhu & Pei†Chann Chang, 2018. "Restructuring performance prediction with a rebalanced and clustered support vector machine," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(4), pages 437-456, July.
    26. Benston, George J & Hanweck, Gerald A & Humphrey, David B, 1982. "Scale Economies in Banking: A Restructuring and Reassessment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 14(4), pages 435-456, November.
    27. Hussein A. Hassan Al Tamimi & Andi Duqi & Angelos Kanas & Panagiotis D. Zervopoulos, 2022. "Directional distance function DEA estimators for evaluating efficiency gains from possible mergers and acquisitions," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(6), pages 1240-1257, June.
    28. Bernad, Cristina & Fuentelsaz, Lucio & Gómez, Jaime, 2010. "The effect of mergers and acquisitions on productivity: An empirical application to Spanish banking," Omega, Elsevier, vol. 38(5), pages 283-293, October.
    29. Birger Wernerfelt, 1984. "A resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 5(2), pages 171-180, April.
    30. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    31. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    32. Friedrich Trautwein, 1990. "Merger motives and merger prescriptions," Strategic Management Journal, Wiley Blackwell, vol. 11(4), pages 283-295, May.
    33. Wanke, Peter & Maredza, Andrew & Gupta, Rangan, 2017. "Merger and acquisitions in South African banking: A network DEA model," Research in International Business and Finance, Elsevier, vol. 41(C), pages 362-376.
    34. Desheng Wu & Zhaoxin Zhou & John Birge, 2011. "Estimation of potential gains from mergers in multiple periods: a comparison of stochastic frontier analysis and Data Envelopment Analysis," Annals of Operations Research, Springer, vol. 186(1), pages 357-381, June.
    35. Abe de Jong & Ivana Naumovska, 2016. "A Note on Event Studies in Finance and Management Research," Review of Finance, European Finance Association, vol. 20(4), pages 1659-1672.
    36. Rolf Färe & Shawna Grosskopf & Dimitris Margaritis, 2011. "Malmquist Productivity Indexes and DEA," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 127-149, Springer.
    37. Poretti, Cédric & Heo, Cindy Yoonjoung, 2022. "COVID-19 and firm value drivers in the tourism industry," Annals of Tourism Research, Elsevier, vol. 95(C).
    38. George Halkos & Roman Matousek & Nickolaos Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    39. Guo-Ya Gan & Hsuan-Shih Lee, 2021. "Resolving the infeasibility of the super-efficiency DEA based on DDF," Annals of Operations Research, Springer, vol. 307(1), pages 139-152, December.
    40. Borah, Abhishek & Bahadir, S.Cem & Colicev, Anatoli & Tellis, Gerard J., 2022. "It pays to pay attention: How firm's and competitor's marketing levers affect investor attention and firm value," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 227-246.
    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. Yung‐ho Chiu & Tai‐Yu Lin & Tzu‐Han Chang & Yi‐Nuo Lin & Shih‐Yung Chiu, 2021. "Prevaluating efficiency gains from potential mergers and acquisitions in the financial industry with the Resample Past–Present–Future data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 369-384, March.
    2. Ying Li & Yung-Ho Chiu & Tai-Yu Lin & Tzu-Han Chang, 2020. "Pre-Evaluating the Technical Efficiency Gains from Potential Mergers and Acquisitions in the IC Design Industry," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 525-559, April.
    3. Bai, Xue-jie & Zeng, Jin & Chiu, Yung-Ho, 2019. "Pre-evaluating efficiency gains from potential mergers and acquisitions based on the resampling DEA approach: Evidence from China's railway sector," Transport Policy, Elsevier, vol. 76(C), pages 46-56.
    4. Yan He & Yung-ho Chiu & Bin Zhang, 2020. "Prevaluating Technical Efficiency Gains From Potential Mergers and Acquisitions in China’s Coal Industry," SAGE Open, , vol. 10(3), pages 21582440209, July.
    5. Chen, Zhongfei & Wanke, Peter & Tsionas, Mike G., 2018. "Assessing the strategic fit of potential M&As in Chinese banking: A novel Bayesian stochastic frontier approach," Economic Modelling, Elsevier, vol. 73(C), pages 254-263.
    6. Tran, Trung Hieu & Mao, Yong & Nathanail, Paul & Siebers, Peer-Olaf & Robinson, Darren, 2019. "Integrating slacks-based measure of efficiency and super-efficiency in data envelopment analysis," Omega, Elsevier, vol. 85(C), pages 156-165.
    7. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    8. Rezaeiani, M.J. & Foroughi, A.A., 2018. "Ranking efficient decision making units in data envelopment analysis based on reference frontier share," European Journal of Operational Research, Elsevier, vol. 264(2), pages 665-674.
    9. Jianhui Xie & Xiaoxuan Zhu & Liang Liang, 2020. "A multiplicative method for estimating the potential gains from two-stage production system mergers," Annals of Operations Research, Springer, vol. 288(1), pages 475-493, May.
    10. Contreras, I. & Lozano, S., 2022. "Size efficiency, splits and merger gains, and centralized resource reallocation of Spanish public universities," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    11. Mostafa Davtalab-Olyaie & Hadis Mahmudi-Baram & Masoud Asgharian, 2023. "Measuring individual efficiency and unit influence in centrally managed systems," Annals of Operations Research, Springer, vol. 321(1), pages 139-164, February.
    12. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "Data envelopment analysis 1978–2010: A citation-based literature survey," Omega, Elsevier, vol. 41(1), pages 3-15.
    13. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    14. Biresh K. Sahoo & Kaoru Tone, 2022. "Evaluating the potential efficiency gains from optimal industry configuration: A case of life insurance industry of India," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3996-4009, December.
    15. Javad Gerami & Mohammad Reza Mozaffari & P. F. Wanke & Henrique Correa, 2022. "A novel slacks-based model for efficiency and super-efficiency in DEA-R," Operational Research, Springer, vol. 22(4), pages 3373-3410, September.
    16. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    17. Patricija Bajec & Danijela Tuljak-Suban, 2019. "An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    18. Zhu, Joe, 2001. "Super-efficiency and DEA sensitivity analysis," European Journal of Operational Research, Elsevier, vol. 129(2), pages 443-455, March.
    19. Kristof De Witte & Rui Marques, 2010. "Designing performance incentives, an international benchmark study in the water sector," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 18(2), pages 189-220, June.
    20. Zhicheng Lai & Lei Li & Zhuomin Tao & Tao Li & Xiaoting Shi & Jialing Li & Xin Li, 2023. "Spatio-Temporal Evolution and Influencing Factors of Ecological Well-Being Performance from the Perspective of Strong Sustainability: A Case Study of the Three Gorges Reservoir Area, China," IJERPH, MDPI, vol. 20(3), pages 1-25, January.

    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:122:y:2024:i:c:s0305048323001317. 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.