E-Commerce in Logistics and Supply Chain Management

2018 ◽  
pp. 5367-5377 ◽  
Author(s):  
Yasanur Kayikci
Keyword(s):  
Supply Chain ◽  
Business Models ◽  
Electronic Communication ◽  
Social Economy ◽  
Internet Technology ◽  
Future Research ◽  
Digital Information ◽  
Corporate Strategies ◽  
Extensive Growth ◽  
Future Research Directions

As the electronic communication and digital information continuous to grow with extensive popularization and application of Internet technology, social economy is experiencing a fundamental change. The new economy of e-commerce solutions and global trade have forced companies to redefine their corporate strategies and to redesign their business models. E-commerce is bringing extensive growth and a landscape of continuing change in managing logistics and supply chain operations. This chapter describes the e-commerce and the evolution of logistics and supply chain and trends of e-commerce in logistics and supply chains. It gives the discussion on the integrated e-commerce and e-commerce logistics and finally, it ends with future research directions and conclusion.

E-Commerce in Logistics and Supply Chain Management

2019 ◽  
pp. 1015-1026
Author(s):  
Yasanur Kayikci
Keyword(s):  
Supply Chain ◽  
Business Models ◽  
Electronic Communication ◽  
Social Economy ◽  
Internet Technology ◽  
Future Research ◽  
Digital Information ◽  
Corporate Strategies ◽  
Extensive Growth ◽  
Future Research Directions

As the electronic communication and digital information continue to grow with extensive popularization and application of internet technology, social economy is experiencing a fundamental change. The new economy of e-commerce solutions and global trade have forced companies to redefine their corporate strategies and to redesign their business models. E-commerce is bringing extensive growth and a landscape of continuing change in managing logistics and supply chain operations. This chapter describes the e-commerce and the evolution of logistics and supply chain and trends of e-commerce in logistics and supply chains. It gives a discussion on the integrated e-commerce and e-commerce logistics, and it ends with future research directions and a conclusion.

scholarly journals Leveraging Capabilities of Technology into a Circular Supply Chain to Build Circular Business Models: A State-of-the-Art Systematic Review

2021 ◽  
Vol 13 (16) ◽  
pp. 8997
Author(s):  
Ahmed Zainul Abideen ◽  
Jaafar Pyeman ◽  
Veera Pandiyan Kaliani Sundram ◽  
Ming-Lang Tseng ◽  
Shahryar Sorooshian
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Business Models ◽  
Keyword Search ◽  
Sustainable Manufacturing ◽  
Future Research ◽  
Research Directions ◽  
Main Pathway ◽  
Future Research Directions ◽  
Conventional Models

The recent technological inclusions in supply chains are encouraging practitioners to continuously rethink and redesign these supply chains. Organizations are trying to implement sustainable manufacturing and supply chain practices to utilize their resources to the full extent in order to gain a competitive advantage. Circular supply chain management acts as the main pathway to achieve optimal circular business models; however, research in this area is still in its infancy and there is a need to study and analyze how the benefits of technology can be leveraged in conventional models to impact circular supply chains and build smart, sustainable, circular business models. To gain better familiarity with the future research paradigms, a detailed systematic literature review was conducted on this topic to identify the dynamics of this field and domains deserving further academic attention. A holistic and unique review technique was used by the authors to capture maximal insights. A total of 96 publications from 2010 to 2021 were selected from the Web of Science core collection database through strict keyword search codes and exclusion criteria, with neat integration of systematic and bibliometric analyses. The findings of this study highlight the knowledge gaps and future research directions, which are presented at the end of this paper.

Forecast Information Sharing for Managing Supply Chains in the Big Data Era: Recent Development and Future Research

2017 ◽  
Vol 34 (01) ◽  
pp. 1740001 ◽  
Author(s):  
Bin Shen ◽  
Hau-Ling Chan
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Information Sharing ◽  
Business Models ◽  
Future Research ◽  
Demand And Supply ◽  
Current State ◽  
Big Data Technologies ◽  
Accurate Forecast ◽  
Future Research Directions

Sharing forecast information helps supply chain parties to better match demand and supply. The extant literature has shown that sharing forecast information improves supply chain performance. In the big data era, supply chain managers have the ability to deal with a massive amount of data by big data technologies and analytics. Big data technologies and analytics provide more accurate forecast information and give an opportunity to transform business models. In this paper, a comprehensive review on forecast information sharing for managing supply chain in the big data era is conducted. The value and obstacles of sharing forecast information are discussed. Given the sufficient data, the appropriate approaches of analyzing and sharing forecast information are highlighted. Insights on the current state of knowledge in each respective area are discussed and some associated pertinent challenges are explored. Inspired by various timely and important issues, future research directions are suggested.

scholarly journals Addressing Covert Channel Attacks in RFID-Enabled Supply Chains

2013 ◽  
pp. 176-190
Author(s):  
Kirti Chawla ◽  
Gabriel Robins
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Network Flow ◽  
Economic Effects ◽  
Future Research ◽  
Covert Channel ◽  
Covert Channels ◽  
Node Selection ◽  
Future Research Directions ◽  
Key Nodes

RFID technology can help competitive organizations optimize their supply chains. However, it may also enable adversaries to exploit covert channels to surreptitiously spy on their competitors. We explain how tracking tags and compromising readers can create covert channels in supply chains and cause detrimental economic effects. To mitigate such attacks, the authors propose a framework that enables an organization to monitor its supply chain. The supply chain is modeled as a network flow graph, where tag flow is verified at selected key nodes, and covert channels are actively sought. While optimal taint checkpoint node selection is algorithmically intractable, the authors propose node selection and flow verification heuristics with various tradeoffs. The chapter discusses economically viable countermeasures against supply chain-based covert channels, and suggests future research directions.

A systematic review of the literature on supply chain agility

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bharat Singh Patel ◽  
Murali Sambasivan
Keyword(s):  
Supply Chain ◽  
Cost Benefit ◽  
Business Environment ◽  
Future Research ◽  
Research Directions ◽  
Content Type ◽  
Trade Offs ◽  
Supply Chain Agility ◽  
Agility Assessment ◽  
Future Research Directions

Purpose The purpose of this study is to critically examine the scholarly articles associated Murali Sambasivan with the diverse aspects of supply chain agility (SCA). The review highlights research insights, existing gaps and future research directions that can help academicians and practitioners gain a comprehensive understanding of SCA. Design/methodology/approach The present study has adopted author co-citation analysis as the research methodology, with a view to thoroughly investigating the good-quality articles related to SCA that have been published over a period of 22 years (1999-2020). In this study, 126 research papers on SCA – featuring diverse aspects of agility – from various reputed journals have been examined, analysed and assimilated. Findings The salient findings of this research are, namely, agility is different from other similar concepts, such as flexibility, leanness, adaptability and resilience; of the 13 dimensions of agility discussed in the literature, the prominent ones are quickness, responsiveness, competency and flexibility; literature related to SCA can be categorised as related to modelling the enablers, agility assessment, agility implementation, leagility and agility maximisation. This research proposes a more practical definition and framework for SCA. The probable areas for future research are, namely, impediments to agility, effective approaches to agility assessment, cost-benefit trade-offs to be considered whilst implementing agility, empirical research to validate the framework and SCA in the domain of healthcare and disaster relief supply chains. Practical implications This paper provides substantial insights to practitioners who primarily focus on measuring and implementing agility in the supply chain. The findings of this study will help the supply chain manager gain a better idea about how to become competitive in today’s dynamic and turbulent business environment. Originality/value The originality of this study is in: comprehensively identifying the various issues related to SCA, such as related concepts, definitions, dimensions and different categories of studies covered in literature, proposing a new definition and framework for SCA and identifying potential areas for future research, to provide deeper insights into the subject and highlight areas for future research.

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.

Business Models and Organizational Processes Changes

2011 ◽  
pp. 192-205
Author(s):  
Helena Halas ◽  
Tomaž Klobucar
Keyword(s):  
Pervasive Computing ◽  
Business Models ◽  
Business Processes ◽  
Future Research ◽  
Organizational Processes ◽  
Research Directions ◽  
Main Stress ◽  
Future Research Directions ◽  
Future Business

This chapter explores the influence of pervasive computing on companies and their businesses, with the main stress on business models. The role of business models for companies is presented. Introduction to pervasive computing and a survey of existing e-business models classifications are used as a base for our research. The main characteristics of today’s business models are discussed and a method for evaluating business models characteristics is proposed. We concentrate on characteristics of pervasive computing and their influence on companies’ business processes and business models. The present and future business characteristics and business models are briefly compared, and future research directions on pervasive computing and business models are presented.

Industry 4.0 in Pumping Applications

2021 ◽  
pp. 941-954
Author(s):  
Luiz Eduardo Marques Bastos
Keyword(s):  
Working Conditions ◽  
Industry 4.0 ◽  
Business Models ◽  
Industrial Revolution ◽  
Future Research ◽  
Research Directions ◽  
Equipment Operation ◽  
The World ◽  
Future Research Directions ◽  
Traditional Industry

This chapter addresses the so-called Industry 4.0 and some of its applications in industrial pumps, seeking to emphasize its characteristics and benefits. The introduction of 4.0 industry technologies in this traditional industry can cause profound changes in existing business models, providing greater customer satisfaction, either improving the effectiveness of equipment operation, contributing to better adjustment to working conditions, and also prolonging their life cycle. We are still in the early stages of these technologies and a lot is yet to evolve; however, there are already interesting examples developed by some pump manufacturers around the world, some of which will be mentioned in this chapter. It is subdivided into three main parts, namely brief historical panorama from the first industrial revolution to Industry 4.0, current applications in the industrial pump industry, and finally, future research directions and conclusion.

Business Models and Organizational Processes Changes

2011 ◽  
pp. 155-168
Author(s):  
Helena Halas ◽  
Tomaž Klobucar
Keyword(s):  
Pervasive Computing ◽  
Business Models ◽  
Business Processes ◽  
Future Research ◽  
Organizational Processes ◽  
Research Directions ◽  
Main Stress ◽  
Future Research Directions ◽  
Future Business

This chapter explores the influence of pervasive computing on companies and their businesses, with the main stress on business models. The role of business models for companies is presented. Introduction to pervasive computing and a survey of existing e-business models classifications are used as a base for our research. The main characteristics of today’s business models are discussed and a method for evaluating business models characteristics is proposed. We concentrate on characteristics of pervasive computing and their influence on companies’ business processes and business models. The present and future business characteristics and business models are briefly compared, and future research directions on pervasive computing and business models are presented.

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