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The purpose of this paper is to enable improvers to use recent knowledge from implementation science to carry out improvement changes more effectively. It also highlights the importance of converting research findings into practical tools and guidance for improvers so as to make research easier to apply in practice.

This study provides an illustration of how a quality improvement (QI) team project can make use of recent findings from implementation research so as to make their improvement changes more effective and sustainable. The guidance is based on a review and synthesis of improvement and implementation methods.

The paper illustrates how research can help a quality project team in the phases of problem definition and preparation, in design and planning, in implementation, and in sustaining and spreading a QI. Examples of the use of different ideas and methods are cited where they exist.

The example is illustrative and there is little limited experimental evidence of whether using all the steps and tools in the one approach proposed do enable a quality team to be more effective. Evidence supporting individual guidance proposals is cited where it exists.

If the steps proposed and illustrated in the paper were followed, it is possible that quality projects could avoid waste by ensuring the conditions they need for success are in place, and sustain and spread improvement changes more effectively.

More patients could benefit more quickly from more effective implementation of proven interventions.

The paper is the first to describe how improvement and implementation science can be combined in a tangible way that practical improvers can use in their projects. It shows how QI project teams can take advantage of recent advances in improvement and implementation science to make their work more effective and sustainable.

Explores the underlying behavioral processes influencing the clinical behavior of physicians toward their patients. Utilizing educational and social influence explanatory models as a baseline, we sought how each, through peer group settings, would affect clinical specific practice decisions. Focusing on family physicians in Israel who were engaged in ongoing professional peer group meetings, it is suggested that health decisions affecting clinical practice are not universal but particularistic and depend a great deal on the transfer of clinical knowledge through selective social networks. Health managers, utilizing these findings, can therefore intervene in the formation of clinical practice decisions. This can be done primarily through management policy to induce the formation of specific types of peer group social networks.

The purpose of this paper is to provide evidence based guidance to researchers and practice personnel about forming and carrying out effective research partnerships.

A review of the literature, interviews and discussions with colleagues in both research and practice roles, and a review of the authors' personal experiences as researchers in partnership research.

Partnership research is, in some respects, a distinct “approach” to research, but there are many different versions. An analysis of research publications and of their research experience led the authors to develop a framework for planning and assessing the partnership research process, which includes defining expected outcomes for the partners, their roles, and steps in the research process.

This review and analysis provides guidance that may reduce commonly-reported misunderstandings and help to plan more successful partnerships and projects. It also identifies future research which is needed to define more precisely the questions and purposes for which partnership research is most appropriate, and methods and designs for specific types of partnership research.

As more research moves towards increased participation of practitioners and patients in the research process, more precise and differentiated understanding of the different partnership approaches is required, and when each is most suitable. This article describes research approaches that have the potential to reduce “the research-practice gap”. It gives evidence- and experience-based guidance for choosing and establishing a partnership research process, so as to improve partnership relationship-building and more actionable research.

The 1980s and 1990s at Stanford University were a uniquely productive era for research on organizations and labor markets. I describe three important, interconnected themes that characterize the research on organizations and labor markets that emerged from Stanford during this era: the central role of the firm in a multi-level system that determines labor market outcomes, the role of institutions in both creating and constraining labor market outcomes, and the dynamic, often unexpected, consequences of labor market outcomes. I describe the genesis and development of each theme and conclude by discussing what lessons can be learned from this era about creating an innovative and productive research culture.

The purpose of this article is to present an overview of the history and development of transaction log analysis (TLA) in library and information science research. Organizing a literature review of the first twenty‐five years of TLA poses some challenges and requires some decisions. The primary organizing principle could be a strict chronology of the published research, the research questions addressed, the automated information retrieval (IR) systems that generated the data, the results gained, or even the researchers themselves. The group of active transaction log analyzers remains fairly small in number, and researchers who use transaction logs tend to use this method more than once, so tracing the development and refinement of individuals' uses of the methodology could provide insight into the progress of the method as a whole. For example, if we examine how researchers like W. David Penniman, John Tolle, Christine Borgman, Ray Larson, and Micheline Hancock‐Beaulieu have modified their own understandings and applications of the method over time, we may get an accurate sense of the development of all applications.