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Management science (or managerial science) is a wide and interdisciplinary study of solving complex problems and making strategic decisions as it pertains to institutions, corporations, governments and other types of organizational entities.
The business model canvas is a strategic management template that is used for developing new business models and documenting existing ones. [2] [3] It offers a visual chart with elements describing a firm's or product's value proposition, [4] infrastructure, customers, and finances, [1] assisting businesses to align their activities by illustrating potential trade-offs.
Strategic planning is an organization's process of defining its strategy or direction, and making decisions on allocating its resources to attain strategic goals.. Furthermore, it may also extend to control mechanisms for guiding the implementation of the strategy.
Kansei Engineering — an approach that focuses on capturing customer emotional feedback about products to drive improvement. TQM — total quality management is a management strategy aimed at embedding awareness of quality in all organizational processes.
Scientometrics is a subfield of informetrics that studies quantitative aspects of scholarly literature.Major research issues include the measurement of the impact of research papers and academic journals, the understanding of scientific citations, and the use of such measurements in policy and management contexts. [1]
Project management is the process of supervising the work of a team to achieve all project goals within the given constraints. [1] This information is usually described in project documentation, created at the beginning of the development process.
In Scientific Management, the responsibility of the success or failure of an organization is not solely on the shoulder of the workers, as it is in the old management systems. According to Scientific Management, the managers are taking half of the burden by being responsible for securing the proper work conditions for workers' prosperity. [7]
Regardless of the field of or preference for defining data (quantitative or qualitative), accurate data collection is essential to maintain research integrity. The selection of appropriate data collection instruments (existing, modified, or newly developed) and delineated instructions for their correct use reduce the likelihood of errors .
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