China's automobile industry cluster development in the perspective of the Relationship Asset Specificity

2011 ◽  
Author(s):  
Zhang Jian ◽  
Wang Pu
Keyword(s):  
Automobile Industry ◽  
Asset Specificity ◽  
Industry Cluster ◽  
Cluster Development ◽  
The Relationship ◽  
China's Automobile Industry

scholarly journals From automobile capitalism to platform capitalism: Toyotism as a prehistory of digital platforms

2021 ◽  
pp. 017084062110306
Author(s):  
Marc Steinberg
Keyword(s):  
Automobile Industry ◽  
New Technologies ◽  
Digital Platforms ◽  
New Era ◽  
Data Intensive ◽  
New Organizational Forms ◽  
Production Practice ◽  
Industry Applications ◽  
Digital Artefact ◽  
The Relationship

This article explores the automotive lineage and manufacturing origins of platforms. Challenging prevailing assumptions that the platform is a digital artefact, and platform capitalism a new era, this article traces crucial elements of platform capitalism to Toyotist automobile manufacture in order to rethink the relationship between technology and organization. Arguing that the very terminology and industry applications of the ‘platform’ emerge from the automobile industry over the course of the 20th century, this article cautions against the uncritical adoption of epochal paradigms, or assumptions that new technologies require new organizational forms. By parsing the platform into two types, the stack and the intermediary, this article demonstrates how the platform concept and data-driven production practice both develop out of the Toyota Production System in particular, and American and Japanese analyses of it. Toyotism, we show, is the unseen industrial and epistemological background against which the platform economy plays out. In making this case, this article highlights the crucial continuities between the data intensive production of companies like Uber and Amazon – emblematic of digital platform capitalism – and the organizational paradigms of the automobile industry. At a moment when the automobile returns to prominence amidst platforms such as Uber, Didi Chuxing, or Waymo, and as we find tech companies turning to automobile manufacturing, this automotive lineage of the platform offers a crucial reminder of the automotive origins of what we now call platform capitalism.

China's Automobile Industry: Policies, Problems, and Prospects.

1996 ◽  
Vol 69 (1) ◽  
pp. 104
Author(s):  
Samuel P. S. Ho ◽  
Eric Harwit
Keyword(s):  
Automobile Industry ◽  
China's Automobile Industry

Design and Implementation of Automobile Industry Cluster Information Service System Based on GIS

2014 ◽  
Vol 687-691 ◽  
pp. 1872-1875
Author(s):  
Ying Ying Weng
Keyword(s):  
Data Storage ◽  
Automobile Industry ◽  
Information Service ◽  
Analysis Data ◽  
Industry Cluster ◽  
Demonstration Analysis ◽  
Design And Implementation ◽  
Data Base Design ◽  
Design Function ◽  
Space Data

According to the automobile industry cluster situation at present, the paper introduces the method and train of thought of automobile industry cluster based on GIS from demand analysis, data base design, function design and so on. Also demonstration analysis in one automobile industry cluster. In construction, use client layer, web layer, business logic layer and data layer to design the system architecture. It improved the system maintenance performance, used Oracle and ArcSDE to access space data and attribute data, and mass data storage management. Research results maybe give some significance reference for design and implementation of automobile industry cluster.

Learn to be good or bad? Revisited observer effects of punishment: curvilinear relationship and network contingencies

2019 ◽  
Vol 34 (4) ◽  
pp. 754-766 ◽  
Author(s):  
Zhenxin Xiao ◽  
Maggie Chuoyan Dong ◽  
Xiaoxuan Zhu
Keyword(s):  
Automobile Industry ◽  
Distribution Network ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Joint Effect ◽  
Curvilinear Relationship ◽  
Content Type ◽  
Channel Governance ◽  
Observer Effects ◽  
China's Automobile Industry

Purpose Although supplier-initiated punishment is widely used to manage distributors’ opportunism, its spillover effect on unpunished distributors (i.e. observers) within the same distribution network remains under-researched. Specifically, this paper aims to investigate the curvilinear effect of punishment severity on an observer’s opportunism, and how such an effect is contingent on the observer’s network position. Design/methodology/approach This paper uses regression analysis with survey data gathered from 218 distributors in China’s automobile industry. Findings Punishment severity has an inverted U-shaped effect on the observers’ opportunism, and such effect is weakened by both the observers’ network centrality and their degree of dependence on the supplier. Practical implications The findings should encourage suppliers to focus more on the spillover effects of punishment on observers. To this end, the supplier must deliberately initiate the appropriate level of punishment severity against its distributors because an inappropriate level of punishment severity (e.g. too lenient) may unexpectedly raise the unpunished observers’ level of opportunism. Moreover, the supplier should be fully aware that observers’ specific network positions may produce varying spillover effects of the punishment. Originality/value This study enriches the literature on channel governance by revealing the curvilinear mechanism through which punishment severity influences observers’ opportunism. By applying social learning theory to channel punishment research, this study unveils both the inhibitive learning and the imitative learning forces inherent in a single punishment event, and it delineates their joint effect on an observer’s opportunism. In addition, this study outlines the observer’s vertical and horizontal relationships within the distribution network and explores their contingent roles in determining the spillover effects of punishment.

scholarly journals Influence of Transaction Costs and Governance in the Marketing of Organic Pineapples from Uganda

2018 ◽  
Vol 11 (3) ◽  
pp. 194 ◽  
Author(s):  
N. Kwikiriza ◽  
J. Mugisha ◽  
K. Karantininis ◽  
P. Rye Kledal
Keyword(s):  
Data Analysis ◽  
Transaction Costs ◽  
Transaction Cost ◽  
Cost Reduction ◽  
Asset Specificity ◽  
Trust Building ◽  
Relational Governance ◽  
Econometric Methods ◽  
Reduction Strategies ◽  
The Relationship

The organic pineapple sub-sector in Uganda has existed for slightly over 10 years. Whereas the sub-sector targets the organic market, slightly more than half of the organic pineapples produced by farmers are sold in this market and the rest is sold to the conventional market. This study aimed at determining the transaction costs that limit the amount of organic pineapples sold by farmers to the organic market. The study also aimed at establishing the relationship between the transaction costs and governance of the transactions between farmers and exporters. Data were collected from 140 organic pineapple farmers and seven organic pineapple export companies. Qualitative methods and econometric methods were used in data analysis. Findings show that there were high asset specificity and uncertainty in organic transactions, which resulted into farmers selling only a proportion of their produce to exporters. Involving farmer in contract formulation, trust, distance to collection centers and high asset specificity increased the proportion of pineapple sold by the farmers while farmers’ experience reduced the proportion sold. There were three forms of governances between farmers and organic exporters; the captive, modular and relational governance. The relational governance had the highest transaction costs, and less proportion of organic pineapples were sold in this governance. The study recommends transaction cost reduction strategies such as organizing farmers in cooperatives, trust building and engaging farmers in contract formulation.

scholarly journals Financial Mismatch, Assets Specificity and Capital Structure

2019 ◽  
Vol 11 (2) ◽  
pp. 236
Author(s):  
Yanwu Li
Keyword(s):  
Capital Structure ◽  
Financial Market ◽  
Stock Exchange ◽  
Governance Structure ◽  
Debt Financing ◽  
Asset Specificity ◽  
Private Companies ◽  
Market Governance ◽  
The Impact ◽  
The Relationship

At present, the problem of financial mismatch poses great challenge to China’s financial market. Financial mismatch blurs the market governance structure of debt financing, thus distorting the relationship between asset specificity and capital structure. This paper investigates companies listed on the A-share of Shanghai and Shenzhen Stock Exchange from 2012 to 2017. It tests the existence of financial mismatch and the impact of financial mismatch on asset specificity and capital structure. Empirical results show that the impact of financial mismatch on the relationship between asset specificity and capital structure of sample companies exhibits no differences in ownership. Both state-owned listed companies and private companies face the same degree of financial mismatch issues, which leads to changes in the property-specific governance structure of assets, and asset specificity is positively related to capital structure.

Agricultural Industry Cluster Sustainable Development Based on the Perspective of the Scientific Outlook on Development

2012 ◽  
Vol 524-527 ◽  
pp. 3563-3568
Author(s):  
Chun Jiang Zhu ◽  
Ru Jiu Luo ◽  
Hui Min Ma
Keyword(s):  
Sustainable Development ◽  
Development Model ◽  
Industry Cluster ◽  
Agricultural Industry ◽  
Cluster Development ◽  
Agriculture Industry ◽  
New Development ◽  
Agriculture Development

Along with agriculture development, a variety of peoblems have risen which effect agriculture industry cluster development badly. How to use the new development model to solve these problems is a subject worthy of study. The Scientific Outlook on Development is an ideological weapon to guide agricultural industry cluster. So this paper proposes the ecological, harmonious and recycling strategic thoughts of agricultural industry cluster sustainable development based on the perspective of the Scientific Outlook on Development.

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