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Only 55% of patients receive recommended care, with little difference found between care recommended for prevention, to address acute episodes, or to treat chronic conditions (McGlynn et al, 2003). The lag time between the discovery of more effective forms of medical treatment and their incorporation into routine patient care averages seventeen (17) years (IOM). Computerized provider order entry (CPOE) has been widely documented as a necessary tool to reduce preventable medication and other related errors but only 7.4% of acute care hospitals in the United States utilize CPOE with appropriate rules and evidence (HIMSS Analytics). The most fundamental building block for CPOE is the evidence based order set, but complexities associated with creating, managing and updating order sets have introduced major obstacles to CPOE implementation efforts. Chronic conditions such as heart disease, diabetes or arthritis affect more than 130 million Americans directly, and account for 7 in 10 deaths. Further, these chronic conditions consume 75% of all healthcare spending, and account for nearly two-thirds of the growth in health spending over the past 20 years -costing the U. S. economy $1 trillion annually (Almanac of Chronic Conditions, 2008 Edition). Estimates suggest the average patient upon hospitalization has 2.75 diagnoses - meaning "appropriate care" must span and synthesize multiple morbidity-specific best practices to effectively administer care to that "average" patient. The traditional approach to treating patients with evidence based protocols requires a physician to perform an ad hoc exercise of "mental merging" - reconciling duplicate candidate orders across multiple order sets to treat a patient with co-morbidities (today's norm). A more clinically effective, productive, and patient safety-centric alternative is to employ a proprietary software merging algorithm. These advanced algorithms remove duplicate orders, resolve conflicts, completes validation of the appropriate medical evidence and organizes the resulting merged order set so the physician can succinctly address the patients' often complicated treatment by focusing on the unique combination of labs, medications, etc. appropriate for the specific presenting conditions. This article describes a patent-pending propriety method of algorithmically merging multiple independent order sets for patients with co-morbid and chronic conditions into a single, maintenance free and evidence-based order set that can be immediately implemented into physician workflow to satisfy "Meaningful Use" guidelines for incremental provider reimbursement based on the American Recovery and Reinvestment Act (ARRA) legislation.

In every country, specific cultures exist. In comparison most businesses have a variety of different cultures because there are different people working within the company. People with the same religion, language, beliefs and values share a culture. This, in turn, is shared with all types of people in the same cultural system. Here the author examines the art of managing people who are from different cultures, taking into account their different set of values, traditions, and ways of achieving various goals. It exposes some of the problems inherent in the host (local) country where a home (parent company) manager refuses or is incapable of internalizing the local culture in which the expatriate operates. Business tactics are enforced and implemented differently depending on the culture the decision‐maker is from. Therefore, one should always think globally and act locally.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

This paper aims to review and critique the public sector knowledge management (KM) literature, offers an overview of the state of public sector KM research and outlines a future research agenda.

Articles published in KM journals are analyzed using a structured literature review methodology. The paper analyzes 180 papers published within ten journals specializing in the field of KM.

Public sector KM is a research area of growing importance. Findings show that few authors specialize in the field and there are several obstacles to developing a cohesive body of literature. Low levels of international cooperation among authors and international comparisons mean that the literature is fragmented. Some research topics and some geographical areas within the public sector theme are over-analyzed, while others are under-investigated. Additionally, academic researchers should re-think their methodological approach if they wish to make significant contributions to the literature and work toward developing research which impacts practice in conjunction with practitioners.

The paper presents a comprehensive structured literature review of the articles published in KM journals. The paper’s findings can offer insights into future research needs.

The purpose of this paper is to offer an application of a system model for Senge's five disciplines in higher education (HE) institutions.

The paper utilizes a conceptual framework for the analysis of antecedents and outcomes of Senge's five disciplines, focusing on specific factors unique to the HE sector.

The explication of the model manifests its relevance and applicability for the HE sector: it represent how universities operate as learning organizations and posits the anticipated interactions among specific constructs associated with Senge's five disciplines within the HE sector.

The paper manifests a causal model that links variables in the learning organization, a perspective that would be instrumental for HE institutions to achieve competitive advantage.

The paper provides added value both for academics and executives interested in the analysis of the complexity of Senge's five disciplines for HE institutions.

The purpose of this paper is to address how adult development (AD) theories can contribute to quality improvement (QI).

A theoretical analysis and discussion on how personal development empirical findings can relate to QI and Deming’s four improvement knowledge domains.

AD research shows that professionals have qualitatively diverse ways of meaning-making and ways to approach possibilities in improvement efforts. Therefore, professionals with more complex meaning-making capacities are needed to create successful transformational changes and learning, with the recognition that system knowledge is a developmental capacity.

In QI and improvement science there is an assumption that professionals have the skills and competence needed for improvement efforts, but AD theories show that this is not always the case, which suggests a need for facilitating improvement initiatives, so that everyone can contribute based on their capacity.

This study illustrates that some competences in QI efforts are a developmental challenge to professionals, and should be considered in practice and research.

The purpose of this paper is to explain one of the most important collective communication patterns used in scientific applications which is the complete exchange, also called All‐to‐All. Although efficient algorithms have been studied for specific networks, general solutions like those available in well‐known MPI distributions (e.g. the MPI_Alltoall operation) are strongly influenced by the congestion of network resources.

In this paper we present an integrated approach to model the performance of the All‐to‐All collective operation, which consists in identifying a contention signature that characterizes a given network environment, using it to augment a contention‐free communication model.

This approach, assessed by experimental results, allows an accurate prediction of the performance of the All‐to‐All operation over different network architectures with a small overhead.

The paper discusses the problem of network contention in a grid environment, studying some strategies to minimize the impact of contention on the performance of an All‐to‐All operation.

The approach used, assessed by experimental results, allows an accurate prediction of the performance of the All‐to‐All operation over different network architectures with a small overhead. Also discussed is the problem of network contention in a grid environment and some strategies to minimize the impact of contention on the performance of an All‐to‐All operation.

The purpose of this paper is to study how the online temporary crowd shares knowledge in a way that fosters the integration of their diverse knowledge. Having the crowd integrate its knowledge to offer solution-ideas to ill-structured problems posed by organizations is one of the desired outcomes of crowd-based open innovation because, by integrating others’ knowledge, the ideas are more likely to consider the many divergent issues related to solving the ill-structured problem. Unfortunately, the diversity of knowledge content offered by heterogeneous specialists in the online temporary crowd makes integration difficult, and the lean social context of the crowd makes extensive dialogue to resolve integration issues impractical. The authors address this issue by exploring theoretically how the manner in which interaction is organically conducted during open innovation challenges enables the generation of integrative ideas. The authors hypothesize that, as online crowds organically share knowledge based upon successful pro-socially motivated interaction, they become more productive in generating integrative ideas.

Using a multilevel mixed-effects model, this paper analyzed 2,244 posts embedded in 747 threads with 214 integrative ideas taken from 10 open innovation challenges.

Integrative ideas were more likely to occur after pro-socially motivated interactions.

Ideas that integrate knowledge about the variety of issues that relate to solving an ill-structured problem are desired outcomes of crowd-based open innovation challenges. Given that members of the crowd in open innovation challenges rarely engage in dialogue, a new theory is needed to explain why integrative ideas emerge at all. The authors’ adaptation of pro-social motivation interaction theory helps to provide such a theoretical explanation. Practitioners of crowd-based open innovation should endeavor to implement systems that encourage the crowd members to maintain a high level of activeness in pro-socially motivated interaction to ensure that their knowledge is integrated as solutions are generated.

The present study extends the crowd-based open innovation literature by identifying new forms of social interaction that foster more integrated ideas from the crowd, suggesting the mitigating role of pro-socially motivated interaction in the negative relationship between knowledge diversity and knowledge integration. This study fills in the research gap in knowledge management research describing a need for conceptual frameworks explaining how to manage the increasing complexity of knowledge in the context of crowd-based collaboration for innovation.

Until now there has been little attention paid to the emotional costs of innovation failures, and in particular, how prior innovation failures hinder subsequent new, related innovation. The saga of Sun Microsystems' Sun Ray computer illustrates the devastating impact of institutional innovation failure trauma. This paper aims to investigate its development.

The authors trace the development of Sun Microsystem's Sun Ray offering, which replaced its failed JavaStation product. As it was launched, the Sun Ray endeavor encountered the classic “innovator's dilemma” problems that are well known to those who attempt to champion disruptive innovations.

But despite its many strong competitive advantages, the Sun Ray computer has unsuccessfully struggled to catch hold with customers. To a large degree the causes are Sun Microsystems' inability to learn from its earlier innovative JavaStation failure and to recover from the trauma of that failure.

To understand Sun Ray's story, the authors interviewed nearly 40 key people and compiled nearly 300 documents, from internal memos to market analyses to press releases to meeting minutes.

Companies can develop proactive management practices to prevent major trauma and consequent innovation paralysis. Six ways to do so are offered.

This is a study of a radical innovation that could have changed computing history. But Sun Ray, Sun's computing innovation was too closely associated with an earlier, highly traumatic and publicized failure of JavaStation and never really got a chance to prove its mettle. Overcoming such innovation trauma is a critical but underappreciated aspect of innovation management in companies such as Sun Microsystems that depend on continuous innovation for their competitiveness.