Rethinking Scientific Management

The U.S. Forest Service was founded early in the twentieth century with the progressive mission to achieve the scientific management of the forests of the United States. Scientific management was in part a political theory, holding out a model by which social values and technical considerations should function separately in the political process. However, since the 1970s the autonomy of Forest Service professionals to manage the national forests has been undermined by judicial decisions, White House and other executive branch oversight, and routine Congressional interference. Ecological management is a new attempt in the 1990s to revive scientific management but it is not likely to be any more successful than previous efforts. Instead, a new governing paradigm is needed for the national forests. This new vision is likely to involve a turn towards greater decentralization of governing responsibility than is prescribed by the scientific management model.

Towards Exascale Scientific Metadata Management

Advances in technology and computing hardware are enabling scientists from all areas of science to produce massive amounts of data using large-scale simulations or observational facilities. In this era of data deluge, effective coordination between the data production and the analysis phases hinges on the availability of metadata that describe the scientific datasets. Existing workflow engines have been capturing a limited form of metadata to provide provenance information about the identity and lineage of the data. However, much of the data produced by simulations, experiments, and analyses still need to be annotated manually in an ad hoc manner by domain scientists. Systematic and transparent acquisition of rich metadata becomes a crucial prerequisite to sustain and accelerate the pace of scientific innovation. Yet, ubiquitous and domain-agnostic metadata management infrastructure that can meet the demands of extreme-scale science is notable by its absence. To address this gap in scientific data management research and practice, we present our vision for an integrated approach that (1) automatically captures and manipulates information-rich metadata while the data is being produced or analyzed and (2) stores metadata within each dataset to permeate metadata-oblivious processes and to query metadata through established and standardized data access interfaces. We motivate the need for the proposed integrated approach using applications from plasma physics, climate modeling and neuroscience, and then discuss research challenges and possible solutions

Teaching operations management using a 'pseudo'-scientific approach

The purpose of this paper is to explore a theory led approach to teaching operations and supply chain management that has emerged from the analysis of seminal operations management developments and case research. This research identified common operations construct relationships encompassing variation, uncertainty, buffering mechanisms and trade-offs which are used to provide a common basis for explaining these developments, linking established theory with current professional practice. The construct relationships are further shown to comprise three distinct but coordinated strategies that provide a useful framework for case evaluatio

E-Learning Strategies in Developing Research Performance Efficiency: Higher Education Institutions

The study aimed to identify E- Learning strategies and their relation to the efficiency of research performance in foreign and Palestinian universities (University of Ottawa, Munster, Suez Canal, Al-Azhar, Islamic, Al-Aqsa). The analytical descriptive approach was used for this purpose, and relying on the questionnaire as a main tool for data collection. The study society is from the senior management, where the number of senior management in the universities in question is 206. The random stratified sample was selected and (SPSS) was used for statistical data analysis. The study found a significant relationship between E- Learning strategies and the efficiency of research performance in universities. It also reached the participation of senior management in the research that develops the university performance in the Palestinian universities. The senior management indicated that they do not care to follow the policies of implementing the development of scientific research. While the senior management in foreign universities indicated that they are interested in following up the policies of implementing the development of scientific research. The study also showed that senior management in Palestinian universities does not care about providing the appropriate budget for E- Learning. The study recommended that the senior management of Palestinian universities should provide an E- Learning budget and encourage employees to continue using E- Learning strategies. The administration in the Palestinian universities should adopt and support outstanding research, and the need to encourage interest in the implementation of policies for the development of scientific research

Development of Nano-economy as a Factor of Forming the Effective National Innovation System of Singapore

The article reveals the theoretical and methodological interpretation of the innovation system, when it determined the structure of the national innovation system. It is noted that the components of the national innovation system are elements, stages and subjects. The main elements are the scientific, technical, production and management. Scientific and technical organization responsible for basic research, applied research implementation and technology transfer from research institutions to production entities. The industrial element is characterized by the implementation of technology in the industry. Management invention provides an element of organizational know-how that would receive revenue from the introduction of the newest technological solutions. Such an approach to the definition of innovation system author used in the analysis of such a system in Singapore. Common indicators confirmed the level of scientific, manufacturing and managerial innovation system segments of Singapore. In statistics of the country, these data are: higher education sector (Science and Technology segment), private sector (commercial segment) and the government sector (management segment). The study concluded that the human factor in a country like Singapore, is the basis of scientific, technical, production and management changes in the development of the national innovation system

Scientific Management in Research Libraries

published or submitted for publicatio