Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29820
Title: Technology acquisitions and investor expectations: Reputation and expectancy violation perspectives
Authors: Chaturvedi, T
Keywords: technology acquisitions;financial market investors;value creation reputation;expectancy violation;firm survival;technological change
Issue Date: 1-Oct-2024
Publisher: Wiley on behalf of European Academy of Management (EURAM)
Citation: Chaturvedi, T. (2024) 'Technology acquisitions and investor expectations: Reputation and expectancy violation perspectives', European Management Review, 0 (ahead of print), pp. 1 - 19. doi; 10.1111/emre.12687.
Abstract: Employing the organizational reputation lens and expectancy violation theory (EVT), I examine how financial market investors (investors) affect the technology acquisition activity and the likelihood of survival of firms facing technological change. I theorize that when a firm has a growth reputation, that is, investors expect revenue growth in future periods, the likelihood of making an acquisition will increase in anticipation of a positive expectancy violation on the part of investors. In contrast, for a firm that has an income reputation, that is, investors expect shareholder returns in future periods, the likelihood of making an acquisition will decrease in avoidance of a negative expectancy violation on the part of investors. I predict a novel moderating effect of investor expectations—a firm's acquisition activity will exert a stronger positive effect on its likelihood of surviving technological change when investor expectations are growth-oriented, that is, when there is a positive expectancy violation. Using a multi-industry sample of industry convergence, a salient form of technological change, I find support for my theoretical predictions. I advance research that examines the reactions of investors to firm strategies during technological change to the domain of technology acquisitions, a salient strategic decision. I also expand the predictive utility of the reputation lens and EVT to the context of firm survival during technological change.
Description: Data Availability Statement: The data that support the findings of this study are available from the corresponding author upon reasonable request.
Supporting Information is available online at: https://onlinelibrary.wiley.com/doi/10.1111/emre.12687#support-information-section .
URI: https://bura.brunel.ac.uk/handle/2438/29820
DOI: https://doi.org/10.1111/emre.12687
ISSN: 1740-4754
Other Identifiers: ORCiD: Tuhin Chaturvedi https://orcid.org/0000-0003-1809-1935
Appears in Collections:Brunel Business School Research Papers

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