Measurement of IT returns on firm with multiple production processes by simultaneous production functions

2013 ◽  
Author(s):  
Ge Hong ◽  
Guo Yu-wei ◽  
Li Ming-di
Keyword(s):  
Production Functions ◽  
Multiple Production ◽  
Simultaneous Production ◽  
Production Processes

Magic Wands and Monkey Brains: Is Labor Ready to Lead Society in the New Struggle Over Data?

2020 ◽  
Vol 119 (2) ◽  
pp. 422-431
Author(s):  
Biju Mathew
Keyword(s):  
United States ◽  
Value Creation ◽  
Labor Movement ◽  
The United States ◽  
Labor Process ◽  
Multiple Production ◽  
New Politics ◽  
Production Processes

Based on extensive conversations with Uber, Lyft, and Ola drivers across multiple cities in the United States and India, this article argues that gig/platform work operates through a reorganization of established labor process with data at the center of such changes. Not only is data central to a dynamic restructuring of labor processes but data as “value” moves across multiple production processes enabling a new spatiotemporal fix. Data as “value/capital” thus enters a potentially endless cycle of value creation and appropriation. This makes possible for the labor movement to move away from narrow business unionism and instead build a new politics that has at its center data as unaccounted value produced by workers.

scholarly journals TWO-FACTOR PRODUCTION FUNCTIONS WITH GIVEN MARGINAL RATE OF SUBSTITUTION

2019 ◽  
pp. 169-181
Author(s):  
G. Khatskevich ◽  
A. Pranevich ◽  
M. Chajkovskij
Keyword(s):  
Inverse Problems ◽  
Production Functions ◽  
Marginal Rate ◽  
Marginal Rate Of Substitution ◽  
Production Processes ◽  
Factor Production ◽  
Rate Of Substitution

The article is devoted to the study of inverse problems of identifying two-factor production functions from given marginal rate of technical substitution. The analytical forms of twofactor production functions with given linear-fractionalmarginal rate of technical substitution of labor by capital. Classes of two-factor production functions that correspond to given (constant, linear, linear-fractional, exponential, etc.) marginal rate of technical substitution areindicated. The obtained results can be applied in modeling of production processes.

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