An Online Productivity Measuring and Analyzing System: Proof-of-Concept
Bassim Shebeb
Abstract
Open-access reader
Bassim Shebeb
Abstract
Open-access reader
The principle aim of this applied research is to design and build up an Online Productivity Measuring and Analyzing System (OPMAS): Proof-of-Concept1 to measure and analyze the economic growth and its major sources; the multifactor productivity and factor-intensity at the firm, sub-industry (ISC 2-digit), and industry levels. Special features of this applied research are the instantaneous productivity measuring and analyzing. In addition, it is developing an educational and training HUB for productivity awareness and improvements for both researchers and organizations. Thus, the HUB comes with a prompt measuring tools/models (OPMAS) of the economic performance; the multifactor productivity and singly-factor productivity growth of a firm using its one-year loss/profit statement or/and time series data. Besides to the hub’s prompt measuring of productivity, the firm will also be provided with an instant-reporting about its economic performance in-compression to its related industry at two different levels (2-digit and i-digit ISC). For example, a firm operating within Food and Beverages manufacturing industry, it will be compared with the performances of the Food and Beverages manufacturing industry 2-digit ISC and with the performance of the overall Manufacturing Industry, D-ISC. Furthermore, a simulation model (Productivity Analytics) for investigating the impact of various policies on the firm’s economic performance could be proposed. The policies which they could be analyzed including environmental regulations, import and export taxes, and the provision of infrastructure.
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The principle aim of this applied research is to design and build up an Online Productivity Measuring and Analyzing System (OPMAS): Proof-of-Concept1 to measure and analyze the economic growth and its major sources; the multifactor productivity and factor-intensity at the firm, sub-industry (ISC 2-digit), and industry levels. Special features of this applied research are the instantaneous productivity measuring and analyzing. In addition, it is developing an educational and training HUB for productivity awareness and improvements for both researchers and organizations. Thus, the HUB comes with a prompt measuring tools/models (OPMAS) of the economic performance; the multifactor productivity and singly-factor productivity growth of a firm using its one-year loss/profit statement or/and time series data. Besides to the hub’s prompt measuring of productivity, the firm will also be provided with an instant-reporting about its economic performance in-compression to its related industry at two different levels (2-digit and i-digit ISC). For example, a firm operating within Food and Beverages manufacturing industry, it will be compared with the performances of the Food and Beverages manufacturing industry 2-digit ISC and with the performance of the overall Manufacturing Industry, D-ISC. Furthermore, a simulation model (Productivity Analytics) for investigating the impact of various policies on the firm’s economic performance could be proposed. The policies which they could be analyzed including environmental regulations, import and export taxes, and the provision of infrastructure.
Key concepts: Productivity, Multifactor productivity, Profit (economics), Industrial organization, Productivity model, Manufacturing, Business, Computer science