TY - JOUR
T1 - Sticky Information Technology Investment
T2 - Theory and Empirical Evidence
AU - Liang, Peng
AU - Cavusoglu, Hasan
AU - Hu, Nan
N1 - Publisher Copyright:
© 1988-2012 IEEE.
PY - 2025
Y1 - 2025
N2 - This article provides a new way of thinking about managerial discretion in information technology (IT) investment decisions. We delve into the existence, antecedents, and consequences of sticky IT investment behavior, an understudied managerial deliberate resource commitment decision in response to changes in sales. Guided by downsizing theory, we initially theorize and find that IT investments exhibit stickiness: IT investments move downward less for sales decreases than they move upward for equivalent increases. Then drawing upon agency theory, adjustment costs theory, and managerial expectations theory—which influence managers’ motivation for downsizing—we predict and demonstrate that managers’ empire-building incentives, their avoidance of adjustment costs, and their optimism regarding future sales strengthen their engagement in sticky IT investments. Furthermore, we introduce and operationalize three novel measures of firm-specific IT investment stickiness that reflect slack IT resources during sales downturns, respectively, capturing the influence of empire-building incentives, adjustment costs, and managerial optimism. Built on these measures, we uncover that the degree of stickiness in a firm's IT investments offers additional insights into predicting future performance, growth in future IT labor, and growth in future sales. Overall, our work formulates an integrative conceptual framework for understanding sticky IT investment that incorporates the presence and antecedents of managers’ asymmetric IT investment decisions, as well as the implications of firm-specific sticky IT investment for forecasting future corporate outcomes. We discuss these findings and their practical and theoretical implications in detail.
AB - This article provides a new way of thinking about managerial discretion in information technology (IT) investment decisions. We delve into the existence, antecedents, and consequences of sticky IT investment behavior, an understudied managerial deliberate resource commitment decision in response to changes in sales. Guided by downsizing theory, we initially theorize and find that IT investments exhibit stickiness: IT investments move downward less for sales decreases than they move upward for equivalent increases. Then drawing upon agency theory, adjustment costs theory, and managerial expectations theory—which influence managers’ motivation for downsizing—we predict and demonstrate that managers’ empire-building incentives, their avoidance of adjustment costs, and their optimism regarding future sales strengthen their engagement in sticky IT investments. Furthermore, we introduce and operationalize three novel measures of firm-specific IT investment stickiness that reflect slack IT resources during sales downturns, respectively, capturing the influence of empire-building incentives, adjustment costs, and managerial optimism. Built on these measures, we uncover that the degree of stickiness in a firm's IT investments offers additional insights into predicting future performance, growth in future IT labor, and growth in future sales. Overall, our work formulates an integrative conceptual framework for understanding sticky IT investment that incorporates the presence and antecedents of managers’ asymmetric IT investment decisions, as well as the implications of firm-specific sticky IT investment for forecasting future corporate outcomes. We discuss these findings and their practical and theoretical implications in detail.
KW - Adjustment costs
KW - IT investment
KW - business value of IT
KW - downsizing theory
KW - empire building
KW - managerial expectations
UR - https://www.scopus.com/pages/publications/105003581087
U2 - 10.1109/TEM.2025.3547691
DO - 10.1109/TEM.2025.3547691
M3 - 文章
AN - SCOPUS:105003581087
SN - 0018-9391
VL - 72
SP - 1010
EP - 1026
JO - IEEE Transactions on Engineering Management
JF - IEEE Transactions on Engineering Management
ER -