Industry Structure of Group Purchasing Organizations

2009 ◽  
pp. 17-23
Author(s):  
S. Prakash Sethi
Keyword(s):  
Industry Structure ◽  
Group Purchasing Organizations

Lighting Industry: Structure and Technology in the Transition to Solid State

2008 ◽  
Author(s):  
Susan Walsh Sanderson ◽  
Kenneth L. Simons ◽  
Judith L. Walls ◽  
Yin-Yi Lai
Keyword(s):  
Solid State ◽  
Industry Structure ◽  
Lighting Industry

Global Trends in the Political Economy of Smart Grids

2017 ◽  
Author(s):  
Cherrelle Eid ◽  
Rudi Hakvoort ◽  
Martin de Jong
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
The United States ◽  
Industry Structure ◽  
Electricity Sector ◽  
Distributed Energy ◽  
Global Trends ◽  
Political Economic ◽  
Regulatory Models ◽  
Global Transition

The global transition towards sustainable, secure, and affordable electricity supply is driving changes in the consumption, production, and transportation of electricity. This chapter provides an overview of three main causes of political–economic tensions with smart grids in the United States, Europe, and China, namely industry structure, regulatory models, and the impact of energy policy. In all cases, the developments are motivated by the possible improvements in reliability and affordability yielded by smart grids, while sustainability of the electricity sector is not a central motivation. A holistic smart grid vision would open up possibilities for better integration of distributed energy resources. The authors recommend that smart grid investments should remain outside of the regulatory framework for utilities and distribution service operators in order to allow for such developments.

Pioneering the orchestra-owned label

2018 ◽  
Author(s):  
Ananay Aguilar
Keyword(s):  
Organizational Structure ◽  
Business Model ◽  
Classical Music ◽  
Symphony Orchestra ◽  
Industry Structure ◽  
Industry Data ◽  
Ethnographic Fieldwork ◽  
Managerial Culture ◽  
Production Of Culture ◽  
International Reputation

This chapter discusses the London Symphony Orchestra’s creation and development of the pioneering orchestra-owned label LSO Live as a response to a classical music industry in crisis. The investigation of the label’s business model is framed within a production of culture perspective that considers six categories: industry structure, organizational structure, occupational careers, law and regulation, technology, and market. Drawing on ethnographic fieldwork and industry data, this chapter demonstrates how the London Symphony Orchestra increased its artistic and managerial independence and, in doing so, effectively multiplied its local and international reputation. As an example of forward-looking managerial culture and leadership, the LSO Live initiative continues to be imitated around the globe.

114 What Is the Impact of Dairy Influence Cattle on the Traditional Beef Industry Structure?

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 38-39
Author(s):  
Bradley J Johnson ◽  
Luke Fuerniss
Keyword(s):  
Dairy Cows ◽  
Dairy Herd ◽  
The United States ◽  
Reproductive Technologies ◽  
Industry Structure ◽  
Data Availability ◽  
Beef Production ◽  
Feed Conversion ◽  
Beef Industry ◽  
The Impact

Abstract The U.S. cow inventory includes approximately 31 million beef cows and 9 million dairy cows, so flow of cattle from dairies into beef production influences the traditional beef industry structure. Dairy-influenced cattle have historically entered the beef supply chain as cull cows and calf-fed Holstein steers. Culled dairy cows account for approximately half of the cows harvested in the United States annually. Fed steers and heifers of dairy influence are estimated to account for 15% of annual steer and heifer slaughter. Advancements in data availability, genomics, and reproductive technologies have enabled more precise selection of dairy replacement heifers and more pregnancies to be allocated to a terminal sire. Recently, the use of beef semen to breed dairy cows that are not desirable for producing replacement heifers has become more widespread. Beef-on-dairy calves are often moved to calf ranches shortly after birth where they are weaned and grown before transitioning to traditional grow yards or feedlots. In comparison to traditional range beef production, calves of dairy origin are weaned at a younger age, have more restricted mobility early in life, and are fed a delivered ration for a greater number of days. While carcasses of dairy-originated fed cattle excel in subcutaneous leanness and marbling, calves originating from dairies typically experience greater morbidity, poorer feed conversion, and poorer dressed yields compared to native fed cattle. Future opportunities to optimize beef production from the dairy herd include refining sire selection to consistently produce high quality calves, reducing variation in calfhood management, and identifying optimal nutrition and growth technology programs for calves from dairies.

scholarly journals Rural Economic Development Based on Shift-Share Analysis in a Developing Country: A Case Study in Heilongjiang Province, China

2021 ◽  
Vol 13 (4) ◽  
pp. 1969
Author(s):  
Donghui Lv ◽  
Huiying Gao ◽  
Yu Zhang
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Industrial Structure ◽  
National Level ◽  
Structural Evolution ◽  
Industry Structure ◽  
Growth Effect ◽  
Heilongjiang Province ◽  
Competitive Effect ◽  
Rural Economic Development

Identification of local priorities within each potential sector and implementation of a targeted development policy would definitely accelerate rural economic growth. In this sense, it is useful to examine each region’s industrial structural evolution compared to the whole economy and aggregate industries. Shift-share analysis has been confirmed as a useful method to measure regional economic differences and analyze the contribution of industrial structure. This paper selects five representative counties in Heilongjiang province and applies shift-share decomposition to analyze the change in rural economic development from 2000 to 2018. The change of economic growth in each selected county is decomposed into three components: national growth effect, industrial structure effect, and competitive effect, taking the national level as the reference. The results showed the following: (1) the trend of rural economic growth fluctuated greatly for nearly 20 years, distinguished by a mismatch of industrial structure with competitiveness for the selected counties; rural economies with an inappropriate industrial structure did not experience strong growth, despite high competitive potential. (2) The low-end agricultural structure and secondary industry structure led to the loss of each competitive effect; the tertiary industry structure based on economic structure servitization was rational, but the competitive effect did not work out. (3) Finally, this paper provided differentiated suggestions in accordance with local resources and priorities of the selected counties, so as to avoid excessive convergence and the lack of characteristics in industrial structure in rural transformation.

scholarly journals A Novel Method for the Complex Tube System Reconstruction and Measurement

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2207
Author(s):  
Xiang Guo ◽  
Xin Su ◽  
Yingtao Yuan ◽  
Tao Suo ◽  
Yan Liu
Keyword(s):  
Neural Network ◽  
Minimum Distance ◽  
Technical Difficulty ◽  
Industry Structure ◽  
Tube System ◽  
Simulation Experiments ◽  
Pipe System ◽  
System Reconstruction ◽  
Novel Method ◽  
Assembly Error

Pipe structures are at the base of the entire industry. In the industry structure, heat and vibration are transmitted in each pipe. The minimum distance between each pipe is significant to the security. The assembly error and the deformation of the pipeline positions after multiple runs are significant problems. The reconstruction of the multi-pipe system is a critical technical difficulty in the complex tube system. In this paper, a new method for the multi-pipes structure inspection is presented. Images of the tube system are acquired from several positions. The photogrammetry technology calculates positions, and the necessary coordination of the structure is reconstructed. A convolution neural network is utilized to detect edges of tube-features. The new algorithm for tube identification and reconstruction is presented to extract the tube feature in the image and reconstruct the 3D parameters of all tubes in a multi-pipes structure. The accuracy of the algorithm is verified by simulation experiments. An actual engine of the aircraft is measured to verify the proposed method.

Implications of uncertainty on firm outsourcing decisions

2006 ◽  
Vol 25 (2) ◽  
pp. 115-125
Author(s):  
David R. King
Keyword(s):  
Transaction Costs ◽  
New Products ◽  
Industry Structure ◽  
Management Research ◽  
Research And Practice ◽  
The Face ◽  
Sourcing Decisions ◽  
Related Transaction

Outsourcing inherently considers what activity needs to reside within a given firm. The difficulty of exchanges between firms in the face of uncertainty affects where work on developing and producing new products is performed. Theory is developed and explored using a case study that explains firm sourcing decisions as a response to uncertainty within the context of industry structure and related transaction costs. Viewing outsourcing broadly results in a better delineation of outsourcing options. Implications for management research and practice are identified.

scholarly journals The Impact of Planting Industry Structural Changes on Carbon Emissions in the Three Northeast Provinces of China

2021 ◽  
Vol 18 (2) ◽  
pp. 705
Author(s):  
Hongpeng Guo ◽  
Sidong Xie ◽  
Chulin Pan
Keyword(s):  
Carbon Emissions ◽  
Structural Changes ◽  
Multiple Linear Regression Model ◽  
Industry Structure ◽  
Estimation Methods ◽  
Low Carbon ◽  
Carbon Sinks ◽  
Resource Endowment ◽  
The Government ◽  
The Impact

This paper focuses on the impact of changes in planting industry structure on carbon emissions. Based on the statistical data of the planting industry in three provinces in Northeast China from 1999 to 2018, the study calculated the carbon emissions, carbon absorptions and net carbon sinks of the planting industry by using crop parameter estimation and carbon emissions inventory estimation methods. In addition, the multiple linear regression model and panel data model were used to analyze and test the carbon emissions and net carbon sinks of the planting industry. The results show that: (1). The increase of the planting area of rice, corn, and peanuts in the three northeastern provinces of China will promote carbon emissions, while the increase of the planting area of wheat, sorghum, soybeans, and vegetables will reduce carbon emissions; (2). Fertilizer application, technological progress, and planting structure factors have a significant positive effect on net carbon sinks, among which the changes in the planting industry structure have the greatest impact on net carbon sinks. Based on the comprehensive analysis, it is suggested that, under the guidance of the government, resource endowment and location advantages should be given full play to, and the internal planting structure of crops should be reasonably adjusted so as to promote the development of low-carbon agriculture and accelerate the development process of agricultural modernization.

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