Longitudinal analysis of supply chain transformation project management

2017 ◽  
Author(s):  
H. Niles Perera ◽  
Jayani Ishara Sudusinghe
Keyword(s):  
Supply Chain ◽  
Project Management ◽  
Longitudinal Analysis ◽  
Chain Transformation

Categorising on-site problems

2017 ◽  
Vol 17 (1) ◽  
pp. 90-111 ◽  
Author(s):  
Micael Thunberg ◽  
Martin Rudberg ◽  
Tina Karrbom Gustavsson
Keyword(s):  
Supply Chain ◽  
Project Management ◽  
Construction Project ◽  
Internal Validity ◽  
Internal Communication ◽  
The Body ◽  
Construction Project Management ◽  
Structured Interviews ◽  
Content Type ◽  
Body Of Knowledge

Purpose This study aims to identify and categorise common on-site problems from a supply chain management (SCM) perspective and to trace the origin of these problems in the construction project process, the supply chain or in the intersection between these processes. This allows for identification of how on-site problems affect SCM in construction projects and how they can be mitigated. Design/methodology/approach A literature review in combination with semi-structured interviews was used to identify on-site problems. This enabled triangulation and strengthened both construct validity and internal validity. Findings On-site problems can be categorised in one of the four following categories: material flows, internal communication, external communication or complexity. The first category has its origin in the supply chain, the second in the construction project process, the third in the supply chain-construction process intersection on site and the fourth in the construction project as a whole. The findings conclude that on-site problems often originate from construction companies’ lack of supply chain orientation. Research limitations/implications It is suggested that supply chain planning (SCP) can facilitate on-site problem mitigation in construction project management. This extends the body of knowledge of SCP in construction project management and supports the development of effective on-site construction project management. Practical implications The results show that SCP can aid construction project management in handling on-site problems earlier in the project process. Originality/value The main value lies in extending the body of knowledge in construction project management research by applying an SCM perspective and by introducing SCP to support more effective construction project management.

Mastering Change Management for Successful Supply Chain Transformation

2017 ◽  
pp. 841-873
Author(s):  
Ehap Sabri ◽  
Likhit Verma
Keyword(s):  
Supply Chain ◽  
Best Practices ◽  
Change Management ◽  
Customer Demand ◽  
Business Transformation ◽  
Chain Processes ◽  
Survival And Growth ◽  
Chain Transformation ◽  
Chain Business

Supply chain transformation is necessary for the survival and growth of an organization; the more effective the transformation, the more likely the company is to thrive. In response to the dramatic changes in the business landscape over the last few years, many companies are launching business transformation programs to drive sweeping changes in their supply chain processes. These transformations are required to match the ever-growing customer demand and drive competition in the market. The supply chain transformation can be evident in exploring new sourcing networks, establishing collaborative forecasting processes, optimizing networks and inventories, reducing supply chain complexities, improving margins, etc. In today's world, it is no longer an option whether or not to opt for supply chain business transformations. Instead, it is a strategic mandate in order to stay relevant in the industry. This chapter provides the analysis of the most common transformation failures and suggests a practical framework leveraging some of the best practices in change management.

Big Data Analytics Driven Supply Chain Transformation

2019 ◽  
pp. 106-124 ◽  
Author(s):  
Mondher Feki
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Future Research ◽  
Research Directions ◽  
Digital Platforms ◽  
New Frontier ◽  
Future Research Directions ◽  
Chain Transformation

Big data has emerged as the new frontier in supply chain management; however, few firms know how to embrace big data and capitalize on its value. The non-stop production of massive amounts of data on various digital platforms has prompted academics and practitioners to focus on the data economy. Companies must rethink how to harness big data and take full advantage of its possibilities. Big data analytics can help them in giving valuable insights. This chapter provides an overview of big data analytics use in the supply chain field and underlines its potential role in the supply chain transformation. The results show that big data analytics techniques can be categorized into three types: descriptive, predictive, and prescriptive. These techniques influence supply chain processes and create business value. This study sets out future research directions.

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