Modifying Business Continuity Plan (BCP) Towards an Effective Auto-Mobile Business Continuity Management (BCM): A Quantitative Approach

2016 ◽  
Vol 11 (4) ◽  
pp. 691-698 ◽  
Author(s):  
Abednico Lopang Montshiwa ◽  
◽  
Akio Nagahira ◽  
Shuichi Ishida ◽  
◽  
...  
Keyword(s):  
Supply Chain ◽  
Automobile Industry ◽  
Recovery Time ◽  
Impact Analysis ◽  
Business Continuity ◽  
Analysis Tool ◽  
Competitive Advantages ◽  
Mobile Business ◽  
Natural Risk ◽  
Risk Ranking

Traditionally BCP consists of two main aspects, being Business Impact Analysis (BIA) and Risk Assessment (RA) [3,,8]. However, this approach doesn’t seem to be sufficiently addressing the complex and elaborate nature of supply chain network in the automobile industry. To address this insufficiency, we replace RA with Risk Ranking (RR) and introduce a new term Supply Chain Cooperation (SCC) to our BCP. A quantitative study was carried on 75 automobile parts markers in disaster prone regions (Asia and North America) and the results were analyzed by adopting this modified BCP concept and using Smart PLS 2.0 as our statistical analysis tool. We realized that SCC has a positive total significant effect on manmade risk rankings, natural risk ranking and BCM. Though risk ranking affects BCM, recovery time and competitive advantages positively, the relationships were not significant. In this study, we realized that BIA is the single most important part of BCP as it had the strongest positive total effects on other BCP factors (SCC, manmade risk ranking and natural risk ranking), BCM and evaluation factors (competitive advantages and recovery time).

Impacts of Business Continuity Management (BCM) on Automobile Parts Makers Against Natural Disaster Events

2015 ◽  
Vol 10 (6) ◽  
pp. 1091-1098 ◽  
Author(s):  
Abednico Lopang Montshiwa ◽  
◽  
Akio Nagahira
Keyword(s):  
Supply Chain ◽  
Natural Disaster ◽  
Impact Analysis ◽  
Business Continuity ◽  
Supply Chain Network ◽  
Competitive Advantages ◽  
Business Continuity Management ◽  
The World ◽  
Automobile Parts ◽  
Business Enterprises

Recently, automobile parts manufacturers have faced unprecedented natural disaster challenges in their operations. It is increasingly complicated to prepare for disruptions in this industry owing to both its elaborate and extensive supply chain network and the ever increasing number of natural disaster events around the world. We surveyed the impacts of business continuity management (BCM) on 92 automobile parts markers in disaster-prone regions (Asia and North America). The survey revealed that risk-conscious companies reported better business impact analysis (BIA) and supply chain cooperation status than did non-risk conscious companies. Of the companies that were satisfied with their BIA (59%), 40% stated that their business enterprises faced no risks at all. 56% of the 16% that were dissatisfied with their BIA status indicated that their business enterprises faced no risks at all. We also found that majority the of companies with weak supply chain network considered themselves to have no risks at all (58%), compared to 42% of the companies that had good supply chain network. The survey also found that 44% of respondents were satisfied with recovery time capability; similarly, the majority of respondents (54%) were confident that their BCM would yield competitive advantages.

Supply chain cooperation as a green supply chain management implementation strategy to achieve competitive advantages in natural disaster prone regions

2018 ◽  
Vol 28 (5) ◽  
pp. 564-583 ◽  
Author(s):  
Abednico Lopang Montshiwa
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Automobile Industry ◽  
Implementation Strategies ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Competitive Advantages ◽  
Chain Management ◽  
Content Type ◽  
Implementation Tool

Purpose This study aims to present a competitive advantages framework suited for disaster prone regions in the era of climate change, present supply chain cooperation (SCC) as an integral part of GrSCM within the automobile industry and evaluate the competitive advantages framework merits based on SCC as a new implementation tool. Design/methodology/approach In an effort to address limited green supply chain management implementation strategies in disaster prone regions, the paper presents SCC as an economic, social and political implementation tool. To explore this; the study introduces SCC in a three-phase competitive advantages model adopted from the Barney 1995 model (with slight differences). Smart PLS 3.0 software package was adopted to carry out multi-variable data analysis. The study’s assumption is a capital economic system and bases its argument of analysis on stockholder theoretical lenses. Findings Big company size does not significantly affect SCC, suggesting that companies of all size can organize and enhance their network to be cooperative. Companies with cooperative supply chain network tend to have competitive advantages. SCC is also a viable way to manage business risks, be there internal or external. Research limitations/implications One of the study’s limitation is the stockholder theory it adopts, which shoulders its assumptions on a capital economic model of operation. Indeed, the study covered China, which is seen to be a communist-based economy. Another study’s limitation is that it narrows its data collection to disaster prone areas as documented by Guha-Sapir et al. (2012). Consequently, the findings of this study might be only applicable to areas that experience significant level of disruptions usually caused by disaster incidents. Originality/value The study is also the first of its kind to propose a model for automobile manufacturing in disaster prone regions. This is done by introducing SCC as an economic, social and political factor, while risk ranking is introduced as an environmental factor to constitute the external changes that Barney 1995 introduced.

scholarly journals Impact analysis tool for interdependent cyber supply chain risks

2020 ◽  
Author(s):  
Celia Paulsen ◽  
Jon Boyens ◽  
Jeffrey Ng ◽  
Kris Winkler ◽  
James Gimbi
Keyword(s):  
Supply Chain ◽  
Impact Analysis ◽  
Analysis Tool ◽  
Supply Chain Risks

scholarly journals Impact analysis tool for interdependent cyber supply chain risks

2020 ◽  
Author(s):  
Celia Paulsen ◽  
Jon Boyens ◽  
Jeffrey Ng ◽  
Kris Winkler ◽  
James Gimbi
Keyword(s):  
Supply Chain ◽  
Impact Analysis ◽  
Analysis Tool ◽  
Supply Chain Risks

The Impact of a Potential Public/Private Initiative on a Defined Region of the South Suburban Chicago Metropolitan Area

2019 ◽  
pp. 14-32
Keyword(s):  
Supply Chain ◽  
Economic Impact ◽  
Impact Analysis ◽  
Census Data ◽  
Economic Benefits ◽  
Local Economy ◽  
Market Area ◽  
State And Local ◽  
The University ◽  
The Impact

The university is considered one of the engines of growth in a local economy or its market area, since its direct contributions consist of 1) employment of faculty and staff, 2) services to students, and supply chain links vendors, all of which define the University’s Market area. Indirect contributions consist of those agents associated with the university in terms of community and civic events. Each of these activities represent economic benefits to their host communities and can be classified as the economic impact a university has on its local economy and whose spatial market area includes each of the above agents. In addition are the critical links to the University, which can be considered part of its Demand and Supply chain. This paper contributes to the field of Public/Private Impact Analysis, which is used to substantiate the social and economic benefits of cooperating for economic resources. We use Census data on Output of Goods and Services, Labor Income on Salaries, Wages and Benefits, Indirect State and Local Taxes, Property Tax Revenue, Population, and Inter-Industry to measure economic impact (Implan, 2016).

scholarly journals Hybrid Model of IVFRN-BWM and Robust Goal Programming in Agile and Flexible Supply Chain, a Case Study: Automobile Industry

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 71481-71492 ◽  
Author(s):  
Ayad Hendalianpour ◽  
Mahnaz Fakhrabadi ◽  
Xiaobo Zhang ◽  
Mohammad Reza Feylizadeh ◽  
Mehdi Gheisari ◽  
...  
Keyword(s):  
Supply Chain ◽  
Hybrid Model ◽  
Goal Programming ◽  
Automobile Industry
Sign in / Sign up

Export Citation Format

Share Document