Marie-Claude Trudel, Membre du GReSI et Professeure agrégée, Département des TI, HEC Montréal
Extending the Theory of the Smart Machine to professional bureaucracies: The role of power. We extended one of the first native theories in information systems, Zuboff’s Theory of the Smart Machine, so that it can also be applied to professional bureaucracies operating in either for-profit or non-profit contexts. In our theoretical development, we took in consideration the specific context and power configuration of professional bureaucracies to 1) suggest the dilemma of power as a generalization of the dilemma of authority, 2) position the market as an external latent force of influence on innovating with information technology and 3) introduce external active forces of influence on innovating with information technology: government, professional associations and boards of directors. Our extended theory will help researchers and practitioners to better understand the elements that influence people to innovate fundamentally with information technology in professional bureaucracies. Keywords: Power; Professional bureaucracy; Theory of the Smart Machine; Theory extension; Information systems.
Placide Poba-Nzaou, Professeur en TI, Département d’organisation et ressources humaines, UQAM
Worries of open source projects’ contributors: Patterns, structures and engagement implications. Several organizations depend on open source software (OSS) code or talent but scholars have expressed concerns about OSS projects sustainability because of the challenges they face and their high dependency on volunteers’ contributions. Acknowledging that (1) challenges that contributors worry about may impact their level of engagement, (2) there have been few research on nonpathological worry with non-clinical samples in work-related context as opposed to the pathological and clinical focus (3) calls have been made for further empirical research on equifinality perspective at a micro- and meso-level (or group level) as opposed to organizational level, and from a behavioral perspective. This exploratory research uses factor and cluster analysis to derive empirical worrying profiles and examines profile differences in the relative level of relevant antecedents as well as equifinality in terms of contributors’ engagement (hours per week working on OSS projects). Based on an open dataset from a worldwide survey (N=1024), the study reveals the existence of four dimensions of OSS worry construct and five worrying profiles with marked configurational differences: no major worry (34.70%), major worry on software quality (19.30%), major worry on attraction and retention (18.60%), major worry on entrepreneurial responsibilities (12.40%), and major worry on communications (15%). Among the five profiles, two profiles exhibit equifinality with high (equifinal) engagement level.