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The purpose of this study is to analyze factors affecting decision-making on libraries’ electronic resources management under the situation of tight budgets in Canadian research universities.

Interview was adopted to investigate library resources management leaders’ opinions from English-speaking university members of the Group of Canadian Research University Libraries.

A comprehensive model is developed for library resources’ management. Subject specialists are the key of the model integrating marketing roles and evaluation roles.

The main limitations of this study are the small sample size of interview candidates, which may have application limitations on other types of libraries and universities in different areas.

This study generates a comprehensive model based on past research, contributing to future library decision-making practices.

It develops a subject specialist-centric model of library resources’ value assessment and brings the element of culture into future studies of academic library.

The purpose of this paper is to synthesize existing research on research data management (RDM), academic scholarship and knowledge management and provide a conceptual framework for an institutional research data management support-system (RDMSS) for systems development, managerial and academic use.

Viewing RDMSS from multiple theoretical perspectives, including data management, knowledge management, academic scholarship and the practice-based perspectives of knowledge and knowing, this paper conceptually explores the systems’ elements needed in the development of an institutional RDM service by considering the underlying data discovery and application issues, as well as the nature of academic scholarship and knowledge creation, discovery, application and sharing motivations in a university environment.

The paper provides general criteria for an institutional RDMSS framework. It suggests that RDM in universities is at the very heart of the knowledge life cycle and is a central ingredient to the academic scholarships of discovery, integration, teaching, engagement and application.

This is a conceptual exploration and as a result, the research findings may lack generalisability. Researchers are therefore encouraged to further empirically examine the proposed propositions.

The broad RDMSS framework presented in this paper can be compared with the actual situation at universities and eventually guide recommendations for adaptations and (re)design of the institutional RDM infrastructure and knowledge discovery services environment. Moreover, this paper will help to address some of the identified underlying scholarship and RDM disciplinary divides and confusion constraining the effective functioning of the modern day university’s RDM and data discovery environment.

This study aims to empirically explore the key elements for classifying and differentiating knowledge‐intensive organizations (KIOs) from other traditional organizations.

The study's conceptual framework is based on the prevailing propositions from the literature on KIOs and is explored using a survey of knowledge management (KM) professionals, a purposely selected community of practice (CoP).

The results suggest that organizations can generally be divided into two groups – KIOs and non‐KIOs, and there appear to be some clear factors that differentiate KIOs from non‐KIOs according to the CoP.

This study lays a foundation for the systematic development and evaluation of KIOs and their KM practices. The results from this study can stimulate issue formulation and hypothesis generation for investigation by KM researchers and academics. The study focused on a few types of organizations drawn from the literature which may limit the generalizability of the results. However, restricting the study to the core organizations identified in the literature provided the authors with leverage for an in‐depth empirical exploration of these organizations' characteristics.

To a KM practitioner this study aids in delineating the different elements to keep in mind when designing or evaluating KM practices in KIOs.

This paper is among the early works to empirically explore KIOs. It advances a framework of how to recognize the knowledge‐intense factors defining KIOs, thereby providing the required foundation for analyzing KM practices in KIOs. Also by identifying the core dimensions defining knowledge intensity, the study underscores the importance of the relations between workers, the community (organization) of which they are members, and the conceptions the workers have of their activities as presented in the theory of organizations as activity systems. While the importance of knowledge has often been demonstrated within work groups or for particular organizational processes, this study has demonstrated a useful foundation for analyzing an organization as a whole.

Ever since Sarasvathy’s (2001) seminal article, scholars have sought to test effectuation’s affect on firm performance. Although recent work has begun the arduous process of testing effectuation’s effect on entrepreneurial performance, there is still much to learn about its impact on firm performance. One such area is the relationship between effectuation and innovation. The purpose of this paper is to first, propose a scale suitable to the explication of the effectuation construct relative to innovation. Second, it proposes a more parsimonious scale for the measurement of innovation. Third, these scales are tested relative to firm performance.

This paper develops and tests a structural model, which investigates aspects of effectuation as mediators between innovation orientation and product/service innovation. This is accomplished using a sample of 169 electronic product manufacturing-based small and medium-sized enterprises (SMEs). Subjective measures of performance are used as the dependent variable.

The three most widely used measures of innovativeness were found to break cleanly into two sub-constructs, namely innovation orientation and product/service innovation. Effectuation measures included means (who I know), leverage contingencies (experimentation), pre-commitments and affordable loss. Means and leverage contingencies were found to positively mediate innovation orientation and product/service innovation leading to increased firm performance. Affordable loss did not show a mediating role, but had a direct effect on firm performance.

This study establishes two distinct sub-constructs of firm-level innovation; namely innovation orientation and product/service innovation. Second, by testing an innovation-centric effectuation model, this research establishes an empirical relationship between effectuation, innovation and firm performance.

Practical implications include establishing a relationship between means, leverage contingencies and innovation-performance, indicating that the ways through which small and medium-sized enterprises use their innovation networks may affect innovation outcomes and ultimately firm performance.

This research establishes an empirical relationship between effectuation, innovation and firm performance, extending effectuation theory from the entrepreneurship to the innovation literature.