Theorising plays a foundational role in Information Systems (IS) research. While the field has made important advances through theory borrowing, via adaptation and instantiation, as well as through contextualisation of established frameworks and models, comparatively little attention has been devoted to the elaboration of existing theories through structured, logic-driven approaches. This commentary problematises that imbalance and advances the concept of deductive theory elaboration as a valuable, yet underutilised, form of theorising in behavioural IS research. We define deductive theory elaboration as a process that extends existing theories by introducing conceptual modifications to their constructs, relationships, or boundary conditions prior to empirical testing. We distinguish this approach from related forms of theorising and propose a four-step framework supported by a repertoire of elaboration patterns for both variance and process theories. We also offer practical reporting guidelines to promote transparency and rigour in elaboration-based contributions. Our aim is to encourage more systematic elaboration efforts to enhance the precision, generalisability, and cumulative potential of IS theories, an optimistic vision of how behavioural IS research can evolve to meet the conceptual challenges of a rapidly transforming digital landscape.

In this paper, we examine the relationship between information technology (IT) use and individual performance, employing Representational Theory to underscore contextual importance, especially the nature of IT use. By investigating the influence of IT use richness on performance, we adopt both correlational and configurational methodologies. Findings indicate associations to General Performance and Efficiency, but not Effectiveness, revealing that richer IT use does not uniformly enhance performance, particularly in mandatory settings where organizational factors play a major role. This study unpacks the nature of IT use-performance relationship, offering theoretical insights and practical implications for organizations seeking to maximize advantage from IT.

This study investigates the legitimation strategies adopted by information technology (IT) vendors and their respective influence on market share. We conducted an analysis of the public discourse on websites of top Electronic Medical Record (EMR) vendors in Ontario , Canada. A total of 815 segments extracted from these websites were analyzed. Our findings indicate that strategies under the cognitive and pragmatic forms of legitimacy were strongly represented in the EMR vendors’ discourses compared with regulative and normative strategies. Furthermore, the link between legitimation strategies and market share has not yet been clearly established. Implications for practice and research are discussed.

The central role of information systems review articles has been recognised in a recent explosion of interest in editorials, research articles, and opinion papers investigating methods and approaches for conducting standalone reviews. In continuity with recent developments in this area, this descriptive review seeks to determine the extent to which various types of review articles published in our field are transparent, i.e., they report important methodological elements about their design. To fulfil this objective, we identified, classified, and coded 142 review articles from the Association for Information Systems (AIS) senior scholars’ basket of journals published between 2000 and 2014. Overall, our findings indicate inadequate reporting of the methods, procedures, and techniques used in a majority of reviews. Our assessment also reveals that theory development and narrative reviews, which are the most frequently published types of reviews in our field, generally were the least explicit with regard to the methods they used. Based on our observations, we recommend that authors of all forms of reviews better document design decisions so to increase trustworthiness, get meaningful results, and develop a cumulative body of knowledge in our discipline. The list of reporting items developed in this study can serve as a framework to assist prospective authors of reviews both within and outside our field.

Recently there has been a great deal of advice published for information systems researchers aiming to conduct standalone literature reviews, and this advice has been, at times, confusing, contradictory and contested. In this opinion paper, we harmonize and resolve some crucial elements of this debate. In our view, literature review articles need to adhere to the same high standards of quality and trustworthiness as other empirical studies. We argue that a systematic approach, accompanied by transparent reporting, is essential for positivist as well as interpretivist reviews, regardless of their specific type, scope and methods. In terms of structure, we first recap the main genres of review articles used by information systems scholars, and present a high-level framework of the steps required to develop a literature review article. For each step, we then explain how the twin concepts of systematicity and transparency should be understood and embedded in the process of developing review papers across a wide range of genres, including positivist aggregative reviews as well as interpretive syntheses using iterative, inductive and abductive approaches.

About 20 years ago, Markus and Robey noted that most research on IT impacts had been guided by deterministic perspectives and had neglected to use an emergent perspective, which could account for contradictory findings. They further observed that most research in this area had been carried out using variance theories at the expense of process theories. Finally, they suggested that more emphasis on multilevel theory building would likely improve empirical reliability. In this paper, we reiterate the observations and suggestions made by Markus and Robey on the causal structure of IT impact theories and carry out an analysis of empirical research published in four major IS journals, Management Information Systems Quarterly (MISQ), Information Systems Research (ISR), the European Journal of Information Systems (EJIS), and Information and Organization (I&O), to assess compliance with those recommendations. Our final sample consisted of 161 theory-driven articles, accounting for approximately 21% of all the empirical articles published in these journals. Our results first reveal that 91% of the studies in MISQ, ISR, and EJIS focused on deterministic theories, while 63% of those in I&O adopted an emergent perspective. Furthermore, 91% of the articles in MISQ, ISR, and EJIS adopted a variance model; this compares with 71% from I&O that applied a process model. Lastly, mixed levels of analysis were found in 14% of all the surveyed articles. Implications of these findings for future research are discussed.