Value Innovation Study in Service Manufacturing Mode

2014 ◽  
Vol 1006-1007 ◽  
pp. 1156-1160
Author(s):  
Qing Yong Cui ◽  
Kai Chao Yu ◽  
Zhi Jia Sun ◽  
Shu Xin Zhang ◽  
Xue Fei Wang
Keyword(s):  
Value Chain ◽  
Value Added ◽  
Development Trend ◽  
Chain Model ◽  
Key Factors ◽  
Value Innovation ◽  
Service Production ◽  
Value Added Model ◽  
Innovation Study ◽  
Manufacturing Mode

As manufacturing and service integrate, service manufacturing has been a new trend in the revolution of manufacturing enterprise. Based on value evolution mechanism, this essay puts main efforts in analyzing the elements, structures and development trend of service manufacturing, and advances a three-layer value chain model based on service production activities, productive service activities and customers' all way participation. Lastly, this essay establishes a three-layer value-added model of service manufacturing value chain, and puts forward six key factors to realize value-added of service manufacturing value chain.

THE VALUE CHAIN OF COMPETENCY MODEL FOR VIETNAMESE EDUCATIONAL MANAGERS IN THE INDUSTRY 4.0 REVOLUTION ERA

2018 ◽  
Author(s):  
Le Thi My Hanh ◽  
Luis Alfaro ◽  
Tran Phuong Thao
Keyword(s):  
Value Chain ◽  
Industry 4.0 ◽  
Global Economy ◽  
Value Added ◽  
Chain Model ◽  
Individual Level ◽  
The Social ◽  
Comprehensive Development ◽  
Model Of Competency ◽  
Personal Competencies

This world is constantly changing and rapidly moving,-particular in the Industry 4.0 revolution, people must change to follow and keeping with this new trend. Education is the human foundation toward the “Truth - Good - Beautiful”, and comprehensive development of personal competencies as knowledge, skills and behaviors. A nation, such as Vietnam, if they want to integrate into global economy and affirming their position, they will need the “Talented - Virtuous” human resource who could meet the high demand of society. The purpose of this study was to propose a model of competency value chain at individual level for the educational managers, analyzing some factors of this value chain model and how to apply to Vietnamese education system in the fourth Industry era. The authors wanted to focus on the social value added that the educational managers’competency could bring as the result of this research.

Impact of E-Governance on Businesses

2012 ◽  
pp. 1407-1425
Author(s):  
Naiyi Hsiao ◽  
Pin-yu Chu ◽  
Chung-pin Lee
Keyword(s):  
Impact Assessment ◽  
Value Chain ◽  
Feedback Mechanism ◽  
Chain Model ◽  
Key Factors ◽  
Factors Affecting ◽  
Effective Feedback ◽  
Information System Success ◽  
Information System Success Model ◽  
The Impact

The success of e-government policies and projects hinges on a robust assessment strategy that provides not only a valuable understanding of the impacts on stakeholders, but also an effective feedback mechanism for mid-course corrections. This study examines the antecedents of the impact assessment of e-governance in the context of an integrated model. The model incorporates a wide variety of important factors from previous research into a single theoretical framework provided by the e-government value chain model and the Information System success model. A government-to-business (G2B) case is utilized to operationalize the model into survey questions. The current chapter presents the results of the G2B survey and summarizes the key findings from the impact assessment of G2B. The knowledge gained from this study will help pave a path for future e-governance initiatives and improve our understanding of the key factors affecting the success of e-governance.

A network perspective and value added tasks: the case of agri-food value chain

2016 ◽  
Vol 28 (2) ◽  
Author(s):  
luai Jraisat
Keyword(s):  
Value Chain ◽  
Structural Equation ◽  
Design Methodology ◽  
Value Added ◽  
Equation Model ◽  
Key Factors ◽  
Firm Level ◽  
Four Levels ◽  
Food Value

Purpose The purpose of this paper is to illustrate how network perspective can be used to determine the importance of key dimensions of network in driving firm's performance within an Agri-Food Value Chain (AFVC). It aims to analyze how factors of network and value added tasks have an impact on firm’s performance in the context of agri-food sector Design/methodology/approach This research employs a quantitative method. Based on an illustrative empirical case, the research tests a simple variance-based reflective Structural Equation Model (SEM) with main effects based on a sample of 200 firms within AFVC in Jordan. Findings The results identify the high-order factors of business networks and demonstrate the role of network perspective on firm’s performance, acting as the main strategy to improve long-term business in AFVC. The results show that firm's performance is mostly driven by the three key factors of network (actors, resources and activities), as well as by the four levels of value added tasks (form, time, place and possession). Research limitations/implications This research has important implications for different level managers at firms. By understanding the various factors that are most important between partners at the firm level and between firms in a network, managers can focus their efforts on these factors in order to foster successful long term businesses and their performances. We further provide some managerial recommendations for more effective management of AFVC in terms of leveraging firm's performance. Originality/value This is one of few studies that investigate factors of network in value chain firms. The results show that the network perspective can link both the key factors of network and the levels of value added tasks for better firm's performance in AFVC.

Impact of E-Governance on Businesses

2012 ◽  
pp. 166-183
Author(s):  
Naiyi Hsiao ◽  
Pin-yu Chu ◽  
Chung-pin Lee
Keyword(s):  
Impact Assessment ◽  
Value Chain ◽  
Feedback Mechanism ◽  
Chain Model ◽  
Key Factors ◽  
Factors Affecting ◽  
Effective Feedback ◽  
Information System Success ◽  
Information System Success Model ◽  
The Impact

The success of e-government policies and projects hinges on a robust assessment strategy that provides not only a valuable understanding of the impacts on stakeholders, but also an effective feedback mechanism for mid-course corrections. This study examines the antecedents of the impact assessment of e-governance in the context of an integrated model. The model incorporates a wide variety of important factors from previous research into a single theoretical framework provided by the e-government value chain model and the Information System success model. A government-to-business (G2B) case is utilized to operationalize the model into survey questions. The current chapter presents the results of the G2B survey and summarizes the key findings from the impact assessment of G2B. The knowledge gained from this study will help pave a path for future e-governance initiatives and improve our understanding of the key factors affecting the success of e-governance.

PEMETAAN TEKNOLOGI INDUSTRI KELAPA SAWIT NASIONAL DAN KEBIJAKAN PENGEMBANGANNYA

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Subiyanto Subiyanto
Keyword(s):  
Palm Oil ◽  
Government Policy ◽  
Value Chain ◽  
Raw Materials ◽  
Value Added ◽  
Oil Industry ◽  
Missing Value ◽  
Technology Capability ◽  
The Government

Palm oil industry in Indonesia has been growing rapidly. But, unfortunately the growth is only effective on upstream industry with low value products, such that potential downstream value added are not explored proportionally. The government is therefore in the process of developing an appropriate policy to strengthen the national palm oil downstream industry. This paper proposes that an approriate policy for developing palm oil downstream industry could be derived from the maps of value chain and existing technology capability of the industry. The result recommends that government policy should emphasize on the supply of raw materials, infrastructure and utilities, as well as developing the missing value chain industry, especially ethoxylation and sulfonation.

scholarly journals The Intra-EU Value Chain: An Approach to Its Economic Dimension and Environmental Impact

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 54
Author(s):  
Óscar Rodil-Marzábal ◽  
Hugo Campos-Romero
Keyword(s):  
Environmental Impact ◽  
Co2 Emissions ◽  
Value Chain ◽  
Positive Impact ◽  
Value Added ◽  
Kuznets Curve ◽  
Output Analysis ◽  
Economic Dimension ◽  
Development Levels ◽  
European Economies

This paper aims to analyze the economic dimension and environmental impact of intra-EU value-added generation linked to global value chains (GVCs) through input-output analysis. For this purpose, information has been collected from TiVA (Trade in Value Added, OECD) and Eora databases for the years 2005 and 2015. From an economic perspective, the results point to a strengthening of the value-added generated within Factory Europe. From an environmental perspective, all EU28 members have reduced their exports-related impacts in intensity-emissions terms, but not all of them in the same degree. An approach to the environmental Kuznets curve (EKC) has also been carried out through a panel data model. The results show a positive impact of the participation in intra-EU value chain (Factory Europe) on CO2 emissions per capita. Further, an inverted U-shaped curve for CO2 emissions is found for the period 2005–15. In this sense, European economies with lower development levels (many Eastern and Southern countries) seem to be still on the rising segment of the curve, while the more developed ones seem to be on the decreasing segment. These results highlight the need to design global monitoring and prevention mechanisms to tackle growing environmental challenges and the need to incorporate specific actions associated with the GVCs activity.

scholarly journals Method of value chain mapping with international input–output data: application to the agricultural value chain in three Greater Mekong Subregion countries

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Ikuo Kuroiwa
Keyword(s):  
Value Chain ◽  
Value Added ◽  
Input Output ◽  
Output Data ◽  
Primary Input ◽  
Goods And Services ◽  
Unit Structure ◽  
Data Application ◽  
Final Output ◽  
Greater Mekong Subregion

AbstractExtending the technique of unit structure analysis, which was originally developed by Ozaki (J Econ 73(5):720–748, 1980), this study introduces a method of value chain mapping that uses international input–output data and reveals both the upstream and downstream transactions of goods and services, as well as primary input (value added) and final output (final demand) transactions, which emerge along the entire value chain. This method is then applied to the agricultural value chain of three Greater Mekong Subregion countries: Thailand, Vietnam, and Cambodia. The results show that the agricultural value chain has been increasingly internationalized, although there is still room to benefit from participating in global value chains, especially in a country such as Cambodia. Although there are some constraints regarding the methodology and data, the method proves useful in tracing the entire value chain.

scholarly journals Multi-criteria decision-making model for supporting manufacturing settlements location in Africa after COVID-19

2021 ◽  
Vol 13 ◽  
pp. 184797902110233
Author(s):  
Stefania Bait ◽  
Serena Marino Lauria ◽  
Massimiliano M. Schiraldi
Keyword(s):  
Decision Making ◽  
Value Chain ◽  
Multinational Enterprises ◽  
Value Added ◽  
Plant Performance ◽  
Multi Criteria Decision Making ◽  
African Countries ◽  
Analytic Hierarchy ◽  
Location Selection ◽  
Decision Making Model

The COVID-19 emergency is affecting manufacturing industries all over the world. Notably, it has generated several issues in the products’ supply and the global value chain in African countries. Besides this, Africa’s manufacturing value-added rate grew only 1.5 since 2018, and the foreign direct investment (FDI) from multinational enterprises (MNEs) remains very low due to high-risk factors. Most of these factors are linked to a non-optimized location selection that can adversely affect plant performance. For these reasons, supporting decision-makers in selecting the suitable country location in Africa is crucial, both for contributing to countries’ growth and companies’ performance. This research aims at presenting a comprehensive multi-criteria decision-making model (MCDM) to be used by MNEs to evaluate the best countries to develop new manufacturing settlements, highlighting the criteria that COVID-19 has impacted. Thus, it has affected countries’ performance, impacting the plant location selection choices. A combination of the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods have also been used for comparative analysis. The criteria used in the proposed approach have been validated with a panel of MNEs experts.

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