Agile Business Model in the Steel Product Industry Sector

2006 ◽  
Author(s):  
H. Helaakoski ◽  
P. Iskanius ◽  
I. Peltomaa ◽  
J. Kipina
Keyword(s):  
Business Model ◽  
Steel Product ◽  
Industry Sector ◽  
Product Industry

E-Transformation of Austrain SMEs

2004 ◽  
pp. 216-230
Author(s):  
Christoph Auer
Keyword(s):  
Action Research ◽  
Literature Review ◽  
Business Model ◽  
Automotive Industry ◽  
Point Of View ◽  
University Research ◽  
Industry Sector ◽  
The Impact

This chapter highlights the differences that exist between the e-commerce (EC) perspective of SMEs and the EC perspective from the researchers’ point of view. First the main aspects of SME EC found in a literature review are pointed out and then the results of a SME survey are presented. The findings of this survey, conducted with Austrian SMEs in the automotive industry sector, show for example that EC adoption is slower than expected. Consequently, we introduce a concept that was developed to minimize the identified gap between the two EC perspectives, by connecting university research and regional SME networks more efficiently. This action research-based approach enables SMEs to evaluate the impact of EC on their business model.

An Analysis of Two Agile Supply Networks in the Steel Product Industry

2009 ◽  
Vol 4 (1) ◽  
pp. 35-47
Author(s):  
P. Iskanius ◽  
◽  
Thomas Page ◽  
M. Muhos ◽  
◽  
...  
Keyword(s):  
Steel Product ◽  
Supply Networks ◽  
Product Industry

Business Model Innovation in Software Product Industry

2017 ◽  
Author(s):  
Kul Bhushan C. Saxena ◽  
Swanand J. Deodhar ◽  
Mikko Ruohonen
Keyword(s):  
Business Model ◽  
Business Model Innovation ◽  
Software Product ◽  
Product Industry

Drivers Towards E-Business in the Steel Product Industry

2009 ◽  
Vol 3 (3) ◽  
pp. 44-52
Author(s):  
Heli Helaakoski ◽  
◽  
P. Iskanius ◽  
Irina Peltomaa ◽  
Thomas Page ◽  
...  
Keyword(s):  
Steel Product ◽  
Product Industry

Current Developments and Diffusions in ICT

2009 ◽  
pp. 222-265
Author(s):  
S.C. Lenny Koh ◽  
Stuart Maguire
Keyword(s):  
Supply Chain ◽  
Business Model ◽  
Supply And Demand ◽  
Aerospace Industry ◽  
Relationship Management ◽  
Big Bang ◽  
Business Value ◽  
Customer Relationship ◽  
Customer Demand ◽  
Industry Sector

Although Boeing and Rolls-Royce are operating in the same aerospace industry sector and use ERP, but the ways that they implemented their systems are completely different. Boeing uses big bang and treats ERP as a system implementation, whilst Rolls-Royce uses phased implementation and treats ERP as a philosophy. Both companies experience different outcome as a result of their approaches. (Koh, 2006) Dell has a “build-to-order” business model that clearly integrates both supply and demand chains. That model has worked astonishingly well for Dell, its customers and its key suppliers. In fact, Dell could not do what it does if it designed and managed its supply chains and Customer Relationship Management (CRM) as separate technical entities. The “build-to-order” business value proposition demands an architecture that inherently integrates customers and suppliers. Yes, Dell has a “supply chain,” but it coevolves in the context of explicit customer demand. (Gunasekaran and Ngai, 2005).

scholarly journals Intra-Industry Trade in Indonesia: A Case of the Textile and Textile Product Industry

2019 ◽  
Vol 4 (1) ◽  
pp. 47
Author(s):  
Revinda Yonita Permata Sari ◽  
Lilis Yuliati ◽  
Siti Komariyah
Keyword(s):  
Economic Growth ◽  
Textile Industry ◽  
Household Consumption ◽  
Global Dynamics ◽  
Trade Policies ◽  
Trade Intensity ◽  
Industry Trade ◽  
Industry Sector ◽  
The Government ◽  
Product Industry

Trade is one of the instruments driving the economy that has a great dependence on global dynamics. Several trade policies in Indonesia have been carried out to encourage the performance of export imports through various collaborations with Indonesia's largest trading partner countries such as China. The trade intensity that occurs in both countries is certainly expected to have an impact on the economy. This study aims to see the intra-industry intensity of trade, especially in the textile goods sector between Indonesia and China. The result shows that Intra-textile textile trade intensity between Indonesia and China, from 2000-2013 based on the ISIC 321 category (textile industry) obtained by Indonesia and China intra-industry trade, because the overall intra-industry trade index is 53.9%. Suggestion to the The government is expected to be able to boost the performance of exports and consumption of the domestic community, because so far Indonesia's economic growth has been driven more by the performance of exports and household consumption which is still quite strong; Policies regarding investment licensing must be further simplified and there is a guarantee of the availability of energy supplies for the textile industry machinery. The government must also try to increase investment in the textile industry sector especially to modernize old or worn machines so that the textile industry can expand production.

scholarly journals PENGARUH INVESTASI DAN TENAGA KERJA TERHADAP PDRB SEKTOR INDUSTRI DI PROVINSI JAWA BARAT

Media Ekonomi ◽  
2015 ◽  
Vol 23 (3) ◽  
pp. 189
Author(s):  
Mikha Lola Melyani Silaen ◽  
Astrid Maria Esther
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Cross Section ◽  
Time Series Data ◽  
Industrial Sector ◽  
Series Data ◽  
West Java ◽  
Industry Sector ◽  
Analysis Technique ◽  
Product Industry

<p><em>This </em><em>research aims to</em><em> </em><em>understand</em><em> how the </em><em>influence</em><em> of the investment and </em><em>labor</em><em> </em><em>against</em><em> the economic growth of industrial sector in</em><em> the Province of</em><em> West Java. The analysis technique </em><em>which </em><em>use in this research is </em><em>regretion </em><em>of panel data</em><em> analysis</em><em>.</em><em> </em><em>The data </em><em>which </em><em>use is GDP (Gross Domestic Product) industry sector, investment </em><em>industrial </em><em>sector</em><em>,</em><em> and the number of </em><em>labors</em><em> in the industrial sector from 2009 to 201</em><em>3</em><em>. This data consists of time series data (2009-201</em><em>3</em><em>) and cross section</em><em> data</em><em> (25 cities / regencies in West Java Province).</em><em> </em><em>Based on the analysis of panel data, the variable</em><em> of</em><em> investment and variable </em><em>of </em><em>labor hav</em><em>e </em><em>positive and significant impact on</em><em> </em><em>economic growth in the industrial sector in</em><em> the Province of</em><em> West Java</em><em>.</em></p>

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