Measuring And Increasing Academic Productivity

Higher education is a linchpin of the American economy and society: teaching and research at colleges and universities contribute significantly to the nation's economic activity, both directly and through their impact on future growth; federal and state governments support teaching and research with billions of taxpayers' dollars; and individuals, communities, and the nation gain from the learning and innovation that occur in higher education. In the current environment of increasing tuition and shrinking public funds, a sense of urgency has emerged to better track the performance of colleges and universities in the hope that their costs can be contained without compromising quality or accessibility. Improving Measurement of Productivity in Higher Education presents an analytically well-defined concept of productivity in higher education and recommends empirically valid and operationally practical guidelines for measuring it. In addition to its obvious policy and research value, improved measures of productivity may generate insights that potentially lead to enhanced departmental, institutional, or system educational processes. Improving Measurement of Productivity in Higher Education constructs valid productivity measures to supplement the body of information used to guide resource allocation decisions at the system, state, and national levels and to assist policymakers who must assess investments in higher education against other compelling demands on scarce resources. By portraying the productive process in detail, this report will allow stakeholders to better understand the complexities of-and potential approaches to-measuring institution, system and national-level performance in higher education.

The question of how to measure and improve productivity in services has been a recurrent topic in political debates and in academic studies for several decades. The concept of productivity, which was developed initially for industrial and agricultural economies poses few difficulties when applied to standardized products. The advent of the service economy contributed to call into question, if not the relevance of this concept, at least its definition and measurement methods. This book takes stock of the issues met by productivity in services on theoretical, methodological and operational levels. The authors examine various definitions of productivity and the main methods of its measurement. A survey of recent conceptual and methodological debates on the notion of productivity is also presented. A more operational and strategic perspective is then adopted in order to identify and analyze the main levers, factors and determinants for improving productivity and, more generally, the actual strategies adopted for this purpose in firms and organisations. Providing a deep understanding of the specific and underestimated performance processes within service industries, this book will be of great interest to those involved in industrial economics, management science and public administration.

How do the benefits of higher education compare with its costs, and how does this comparison vary across individuals and institutions? These questions are fundamental to quantifying the productivity of the education sector. The studies in Productivity in Higher Education use rich and novel administrative data, modern econometric methods, and careful institutional analysis to explore productivity issues. The authors examine the returns to undergraduate education, differences in costs by major, the productivity of for-profit schools, the productivity of various types of faculty and of outcomes, the effects of online education on the higher education market, and the ways in which the productivity of different institutions responds to market forces. The analyses recognize five key challenges to assessing productivity in higher education: the potential for multiple student outcomes in terms of skills, earnings, invention, and employment; the fact that colleges and universities are “multiproduct” firms that conduct varied activities across many domains; the fact that students select which school to attend based in part on their aptitude; the difficulty of attributing outcomes to individual institutions when students attend more than one; and the possibility that some of the benefits of higher education may arise from the system as a whole rather than from a single institution. The findings and the approaches illustrated can facilitate decision-making processes in higher education.

"Higher education is a linchpin of the American economy and society: teaching and research at colleges and universities contribute significantly to the nation's economic activity, both directly and through their impact on future growth; federal and state governments support teaching and research with billions of taxpayers' dollars; and individuals, communities, and the nation gain from the learning and innovation that occur in higher education. In the current environment of increasing tuition and shrinking public funds, a sense of urgency has emerged to better track the performance of colleges and universities in the hope that their costs can be contained without compromising quality or accessibility. Improving Measurement of Productivity in Higher Education presents an analytically well-defined concept of productivity in higher education and recommends empirically valid and operationally practical guidelines for measuring it. In addition to its obvious policy and research value, improved measures of productivity may generate insights that potentially lead to enhanced departmental, institutional, or system educational processes. Improving Measurement of Productivity in Higher Education constructs valid productivity measures to supplement the body of information used to guide resource allocation decisions at the system, state, and national levels and to assist policymakers who must assess investments in higher education against other compelling demands on scarce resources. By portraying the productive process in detail, this report will allow stakeholders to better understand the complexities of--and potential approaches to--measuring institution, system and national-level performance in higher education."--Publisher's description.

Get the most out of this foundational reference and improve the productivity of your software teams. This open access book collects the wisdom of the 2017 "Dagstuhl" seminar on productivity in software engineering, a meeting of community leaders, who came together with the goal of rethinking traditional definitions and measures of productivity. The results of their work, Rethinking Productivity in Software Engineering, includes chapters covering definitions and core concepts related to productivity, guidelines for measuring productivity in specific contexts, best practices and pitfalls, and theories and open questions on productivity. You'll benefit from the many short chapters, each offering a focused discussion on one aspect of productivity in software engineering. Readers in many fields and industries will benefit from their collected work. Developers wanting to improve their personal productivity, will learn effective strategies for overcoming common issues that interfere with progress. Organizations thinking about building internal programs for measuring productivity of programmers and teams will learn best practices from industry and researchers in measuring productivity. And researchers can leverage the conceptual frameworks and rich body of literature in the book to effectively pursue new research directions. What You'll LearnReview the definitions and dimensions of software productivity See how time management is having the opposite of the intended effect Develop valuable dashboards Understand the impact of sensors on productivity Avoid software development waste Work with human-centered methods to measure productivity Look at the intersection of neuroscience and productivity Manage interruptions and context-switching Who Book Is For Industry developers and those responsible for seminar-style courses that include a segment on software developer productivity. Chapters are written for a generalist audience, without excessive use of technical terminology.

Provides a comprehensive approach to productivity and efficiency analysis using economic and econometric theory.

This new book explains the Productivity Measurement and Enhancement system (ProMES) and how it meets the criteria for an optimal measurement and feedback system. It summarizes all the research that has been done on productivity, mentioning other measurement systems, and gives detailed information on how to implement this one in organizations. This book will be of interest to behavioral science researchers and professionals who wish to learn more about the practical methods of measuring and improving organizational productivity.