Buscar recursos académicos

How should we understand why firms exist? A prevailing view has been that they serve to keep in check the transaction costs arising from the self-interested motivations of individuals. We develop in this article the argu...

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together t...

BACKGROUND: Thyroid nodules are a common clinical problem, and differentiated thyroid cancer is becoming increasingly prevalent. Since the American Thyroid Association's (ATA's) guidelines for the management of these dis...

BACKGROUND: The Framework Method is becoming an increasingly popular approach to the management and analysis of qualitative data in health research. However, there is confusion about its potential application and limitat...

This paper considers the relation between the exploration of new possibilities and the exploitation of old certainties in organizational learning. It examines some complications in allocating resources between the two, p...

In this article we offer a view that suggests that a firm's critical resources may span firm boundaries and may be embedded in interfirm resources and routines. We argue that an increasingly important unit of analysis fo...

This paper answers the question, “Why do organizations process information?” Uncertainty and equivocality are defined as two forces that influence information processing in organizations. Organization structure and i...

The Technology Acceptance Model and two variations of the Theory of Planned Behavior were compared to assess which model best helps to understand usage of information technology. The models were compared using student da...

Essential Guide to Qualitative Methods in Organizational Research is an excellent resource for students and researchers in the areas of organization studies, management research and organizational psychology, bringing to...

Two paradigms characterize much of the research in the Information Systems discipline: behavioral science and design science. The behavioral-science paradigm seeks to develop and verify theories that explain or predict h...

Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities ...

BACKGROUND: Scoping studies are an increasingly popular approach to reviewing health research evidence. In 2005, Arksey and O'Malley published the first methodological framework for conducting scoping studies. While this...

Information technology (IT) acceptance research has yielded many competing models, each with different sets of acceptance determinants. In this paper, we (1) review user acceptance literature and discuss eight prominent ...

Materias / palabras clave: data collection, data management, big data, knowledge extraction; Technology: Technology (General): Industrial engineering. Management engineering: Information technology; Science: Mathematics: Instruments and machines: ...

Materias / palabras clave: knowledge engineering and technology, data and knowledge management, knowledge-based education and practice, knowledge-based economies and societies, information management, temporal and spatial database processing; Scie...

Materias / palabras clave: data mining, data sciences, digital humanities, knowledge management; General Works: History of scholarship and learning. The humanities; Bibliography. Library science. Information resources

Materias / palabras clave: information management, knowledge management, data science, librarianship, organization of information, digital library; Science: Science (General): Cybernetics: Information theory; Technology: Technology (General): Indu...

Materias / palabras clave: information management, data mining and data processing, information technology, technology, knowledge management; Technology: Technology (General): Industrial engineering. Management engineering: Information technology;...