In his early work, Karl Weick referred to information technology (IT) as “equivoques” to underline the conflicting interpretations that often arise among users, groups, and organizations interacting with IT. As modern IT systems support a growing variety of uses and applications, this phenomenon intensifies, with important implications for attitude formation and use behaviors. Based on individual sensemaking theory, we define perceived IT equivocality as a user’s difficulty in making sense of an IT and theorize that this psychological phenomenon manifests through perceptions of incompleteness, fragmentation, and uncertainty. Three empirical studies (n = 419, n = 411, n = 345) were conducted to validate this multidimensional construct and examine its relevance in postadoptive use settings. The results indicate that perceived IT equivocality is negatively associated with routine and innovative use and positively associated with behavioral anxiety, confirming its theorized influence on usage patterns. In closing, we discuss the importance of the IT equivocality construct to both theory and practice, along with the limitations of our work. Our distinctive contributions include 1) conceptualizing an IS-specific psychological phenomenon, 2) developing and validating a multidimensional scale, and 3) demonstrating the behavioral potency of the construct.

Recent global events, notably the COVID-19 pandemic, have posed significant challenges to information systems (IS) companies, highlighting the critical importance of system resilience and its relationship with digital transformation (DT) during disruptive times. Despite this, there is a notable lack of literature examining the interactions between DT and resilience. To address this gap, this article presents a comprehensive review of the various types of interactions between these two concepts. Drawing on 73 articles published between 2010 and 2021 in leading IS research journals, our study identifies multiple dimensions of both DT and resilience. Mobilizing these dimensions, we explore their interactions to enhance our understanding of their causal dynamics. This review provides valuable insights for researchers and practitioners interested in the mutual interactions between DT and resilience, especially in the context of disruptive events.

The software industry is changing as a result of the rising influence both of packaged and of Free/Libre/Open Source Software (FLOSS), but the change trajectory of the industry is still not well understood. This paper aims to contribute to clarifying software industry evolution through a longitudinal study, using Industry Change Trajectory Theory to explain and predict the evolution of the Content Management Systems (CMS) segment and the extent to which its results can be generalized to the overall software industry. Our data analysis shows that CMS players are experiencing a modification of their segments’ change trajectory. While McGahan in 2004 recognized that the software industry was in a creative change trajectory, it has subsequently faced strong competition on its core assets, (i.e. applications) and the empirical results of our longitudinal study from 2002 to 2007 show the CMS segment is now in a radical change trajectory, due to the rapid obsolescence of its core activities. Changes affecting the segment include the continuous development of CMS applications, the faster extension of functions for FLOSS CMS than for packaged CMS, the diffusion of the practice of providing services as well as delivering of software solutions.

The purpose of this article is to contribute to the improvement of the acceptance of information systems (IS) devoted to the codification and sharing of knowledge (a type of knowledge manage-ment systems [KMS]). A research model was developed through a multi-staged, multi-method research process and its test supports the hypotheses that the acceptance of KMS is determined, in addition to the classical constructs of the technology acceptance model (TAM), by a few or-ganizational factors, and by the influence exerted on the user by individuals close to her/him.