Interorganizational Information Systems Adoption in Supply Chains

2013 ◽  
Vol 6 (1) ◽  
pp. 24-40 ◽  
Author(s):  
Mohammed N. Shaik ◽  
Walid Abdul-Kader
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Interorganizational Relationships ◽  
Comprehensive Model ◽  
Interorganizational Information Systems ◽  
Adoption Of Technology ◽  
Information Systems Adoption ◽  
Factors Influencing ◽  
Trading Partners ◽  
Context Specific

Supply chain management (SCM) enabled by advances in technology, aims to develop a technical infrastructure linking technology and people, in an effort to align the technology with the capabilities of the organization and among its trading partners. This has led to the importance of the interorganizational information system (IOS) which has been increasingly recognized by organizations. There are several IOS types, including B2B electronic commerce (EC), customer-oriented strategic systems, EDI and electronic markets. The factors influencing the adoption of these systems are presented in the literature, but the IOS adoption in supply chains with supply chain context specific antecedents is very limited. To fill the gap in the literature, in this study a comprehensive model is built on the foundations of technology adoption at the organizational levels and by examining the supply chain context specific antecedents behind the motivations of adoption of technology in supply chains. The developed TOESCM research framework considers the TOE (technological-organizational-environmental) framework and SCM context specific antecedents such as information sharing, interorganizational relationships, and collaboration among trading partners to determine the adoption of IOS in supply chains.

scholarly journals Assessment of behavioral factors influencing cooperation in logistics

2020 ◽  
Vol 18 (3) ◽  
pp. 34-44 ◽  
Author(s):  
Tetiana Kolodizieva
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Methodological Approach ◽  
Behavioral Approach ◽  
Dual Relationships ◽  
Behavioral Factors ◽  
Factors Influencing ◽  
The Social

The article explores theoretical and methodical aspects of managing dual relationships that arise between participants in logistic cooperation in the process of formation and functioning of supply chains. The use of a behavioral approach to defining supply chains has allowed identifying and justifying the priority role of behavioral factors that influence modern logistics entities and determine the effectiveness and long-term satisfaction with logistics cooperation. Given the literature summary, the study has classified types of cooperation in logistic activity and proved that among the behavioral factors influencing the of logistical cooperation efficiency, the trust is of particular importance, which remains a limitation, a bottleneck in the process of formation and development of dual relationships in logistics chains. It is proposed to introduce a generic indicator, namely the level of confidence in the supply chain to assess the social, economic and strategic aspects of logistics interaction. A methodological approach to assessing the level of trust in logistic cooperation was adjusted based on determining the composition of criteria that directly affect this indicator and using the expert survey of supply chain participants. The study proposes to use the confidence indicator to form and improve networks and supply chains, taking into account its value when constructing a generalized outsourcing model.

Benchmarking the triple-A supply chain: orchestrating agility, adaptability, and alignment

2019 ◽  
Vol 26 (1) ◽  
pp. 271-295 ◽  
Author(s):  
Javad Feizabadi ◽  
Michael Maloni ◽  
David Gligor
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Design Methodology ◽  
Comprehensive Model ◽  
Content Type ◽  
Supply Chain Agility ◽  
Resource Orchestration ◽  
Potential Benefits ◽  
Antecedents And Consequences ◽  
Comprehensive Framework

PurposeLimited research examines the triple-A supply chain of agility, adaptability and alignment. The purpose of this paper is to draw on extant literature under the lens of resource orchestration theory to develop a comprehensive framework of antecedents and consequences of triple-A supply chains, allowing both scholars and practitioners to benchmark and prioritize triple-A capabilities.Design/methodology/approachA systematic literature review focusing on four supply chain journals is conducted to integrate the distinct bodies of knowledge on supply chain agility, adaptability and alignment.FindingsThe integration of this literature identifies common and distinct antecedents and consequences of each, developing a comprehensive model of triple-A supply chains as well as proposing opportunities for further study.Originality/valueLimited studies to date have an integrated agility, adaptability and alignment, thus lacking a comprehensive framework of triple-A supply chains. Managers can use the findings to determine actions needed to deploy triple-A capabilities and better understand the resulting potential benefits.

scholarly journals Mediating Dynamic Supply Chain Formation by Collaborative Single Machine Earliness/Tardiness Agents in Supply Mesh

2014 ◽  
Vol 2014 ◽  
pp. 1-21
Author(s):  
Hang Yang ◽  
Simon Fong ◽  
Yan Zhuang
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Single Machine ◽  
Intelligent Agents ◽  
Textile Industry ◽  
Make To Order ◽  
Simulation Based ◽  
Trading Partners ◽  
The Right ◽  
Complex Scenario

Nowadays, a trend of forming dynamic supply chains with different trading partners over different e-marketplaces has emerged. These supply chains, which are called “supply mesh,” generally refer to heterogeneous electronic marketplaces in which dynamic supply chains, as per project (often make-to-order), are formed across different parties. Conceptually, in a supply mesh a dynamic supply chain is formed vertically, mediating several companies for a project. Companies that are on the same level horizontally are either competitors or cohorts. A complex scenario such as this makes it challenging to find the right group of members for a dynamic supply chain. Earlier on, a multiagent model called the collaborative single machine earliness/tardiness (CSET) model was proposed for the optimal formation of make-to-order supply chains. This paper contributes the particular agent designs, for enabling the mediation of CSET in a supply mesh, and the possibilities are discussed. It is demonstrated via a computer simulation, based on samples from the U.S. textile industry, that by using intelligent agents under the CSET model it is possible to automatically find an ideal group of trading partners from a supply mesh.

scholarly journals A Supply Chain Approach to Trade and Labor Provisions

2017 ◽  
Vol 5 (4) ◽  
pp. 60-68 ◽  
Author(s):  
Kevin Kolben
Keyword(s):  
Supply Chain ◽  
Working Conditions ◽  
Labor Law ◽  
Free Trade Agreements ◽  
Trade Agreements ◽  
Trading Partners ◽  
Private And Public ◽  
Regulatory Interventions ◽  
Context Specific ◽  
Export Industries

As labor provisions in trade agreements have become increasingly ubiquitous, there remain questions about whether or not these provisions have been effective in improving working conditions in trading partner countries. Through an analysis of sample labor provisions in United States and European Union free trade agreements, this paper shows that both approaches, albeit using different methods, aim primarily to improve <em>de jure</em> labor law and <em>de facto</em> enforcement of that law by government regulatory institutions. This paper argues that instead, labor provisions ought to be grounded in a supply chain approach. A supply chain approach shifts the focus from impacting <em>de jure</em> and <em>de facto</em> labor law as administered by the state though sanctions or dialogue, and towards context specific, experimental, and coordinated private and public regulatory interventions that operate in key export industries that are implicated in trading partners’ supply chains. It does so in part by recognizing the potential regulatory power of consumer citizenship.

Modeling the Design Phase of Sustainable Supply Chains

2020 ◽  
pp. 16-44
Author(s):  
Petr Fiala ◽  
Renata Majovská
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Economic Value ◽  
Comprehensive Model ◽  
Network Systems ◽  
Sustainable Supply Chains ◽  
Solution Methods ◽  
Equilibrium Relationships ◽  
Biform Games

The objective of supply chain sustainability is to create, protect, and grow long-term environmental, social, and economic value for all stakeholders involved in bringing products and services to market. This chapter creates a comprehensive model and solution methods for designing sustainable supply chains. Sustainable supply chains are modeled as network systems with multiple agents, which are evaluated according to multiple criteria. It is usually impossible to optimize all criteria together in a given system. Searching for a better portfolio of resources leads to reshaping of given system boundaries and better criteria values. Supply chain sustainability is also given by creating equilibrium relationships between agents. Biform games are used for searching an equilibrium in sustainable supply chains. Information sharing reduces inefficiencies and material flows, leading to less environmental pollution.

Mobile Consumer Scanning Technology: A Replacement for Interorganizational Information Systems for Demand Information Learning in Supply Chains?

2021 ◽  
Author(s):  
Ye Shi ◽  
Layth Alwan ◽  
Srinivasan Raghunathan ◽  
Yugang Yu ◽  
Xiaohang Yue
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Simulation Analysis ◽  
Mobile Apps ◽  
Interorganizational Information Systems ◽  
Real World Data ◽  
Extensive Simulation ◽  
Mobile Consumer ◽  
Demand Information ◽  
The Impact

Recently, firms in supply chains have begun to deploy popular mobile apps (e.g., WeChat) into their supply chain practices to improve demand visibility. These efforts rely on consumers to scan the products they purchase using these apps, which we refer to as consumer scanning technology (CST). CST can be an alternative to the conventional interorganizational information technology (IOIT) that relies on collaboration between supply chain firms. This paper develops a theoretical model to examine the value of CST to learn supply chain (demand) information and the impact of CST on IOIT. Using an extensive simulation analysis based on real-world data from a manufacturer that has implemented a CST program, we show that the value of CST to a manufacturer can be substantial and provide insights into how market conditions affect the value.

scholarly journals Traceability in Textile and Clothing Supply Chains: Classifying Implementation Factors and Information Sets via Delphi Study

2019 ◽  
Vol 11 (6) ◽  
pp. 1698 ◽  
Author(s):  
Tarun Agrawal ◽  
Rudrajeet Pal
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Supply Chains ◽  
Delphi Study ◽  
High Agreement ◽  
Related Information ◽  
Factors Influencing ◽  
Information Sets ◽  
Product Specifications ◽  
Implementation Factors

The purpose of this study is twofold. First, to explore and classify factors influencing traceability implementation, and second, to cluster essential traceability-related information that demands recording and sharing with businesses and customers, in the context of the textile and clothing supply chain. A Delphi study is conducted with 23 experts (including research practitioners and industry experts) to explore, validate, and classify traceability factors and related information using distribution analyses and hierarchal clustering. As a result, 14 factors and 19 information sets are identified and classified with a moderately high agreement among the experts. Among these, risk management, product authentication, and visibility are the highest ranked and the most important factors influencing traceability implementation in the textile and clothing supply chain. While origin, composition, and sustainability-related information are crucial for sharing with customers, the information vital to businesses includes manufacturer/supplier details, product specifications, and composition. It is noteworthy that this research is among the few that classifies traceability factors and information through expert perspectives, and it creates decisive knowledge of traceability for the textile and clothing supply chain. It further provides insights on the extent to which this information can be shared among supply chain actors. Outcomes of this study can be helpful for the development of an information traceability framework. Policymakers can use the results to draft traceability guidelines/regulations, whilst top management can develop traceability-related strategies.

A Composite Method to Compare Countries to Ascertain Supply Chain Success

2010 ◽  
Vol 3 (3) ◽  
pp. 66-79 ◽  
Author(s):  
Mark Gershon ◽  
Jagadeesh Rajashekharaiah
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Business Processes ◽  
The United States ◽  
Comprehensive Model ◽  
Global Level ◽  
Composite Method ◽  
Comprehensive Comparison ◽  
Multiple Levels ◽  
Overall Functioning

Supply chains are assessed for the contribution they make in improving business processes. Assessment also looks at the return on investment and improves the overall functioning of the entire chain. However, supply chains extend beyond geographical borders and span a wide variety of activities; therefore, a systematic examination of factors required for success of supply chains is essential. This paper proposes a composite method by which supply chains could be assessed at multiple levels to enable a comprehensive comparison. The objective is to first compare at a global level and then narrow down to the firms’ level. Although over time a number of measures have been developed to evaluate supply chain performance, this paper provides a methodology involving well-known techniques to assess the supply chain success based on objective considerations. Furthermore, the authors demonstrate how global players can select the partnering countries to reap maximum benefits. Finally, a comprehensive model is provided involving three approaches that look at the issue of comparison from different perspectives and are debated with respect to India and the United States.

The influence of the interplay of supply chain network relationships on farmers' performance in the Chilean NTAE sector

2014 ◽  
Vol 14 (3) ◽  
pp. 149-169 ◽  
Author(s):  
V. Otter ◽  
A. Engler ◽  
L. Theuvsen
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Business Environment ◽  
Table Grape ◽  
Situational Factors ◽  
Supply Chain Network ◽  
Partial Least Squares Analysis ◽  
Factors Affecting ◽  
Food Supply Chains ◽  
Trading Partners

With ongoing globalization, farmers in developing and transition countries are increasingly challenged by the complex organizational structure of international food supply chains. This study seeks to identify how the interplay of supply chain network relationships, which are determined by situational factors affecting farms and their business environment, influences farmers' performance. A theoretical framework is developed and empirically applied to data obtained from a standardized survey of 81 Chilean raspberry producers, 80 Chilean avocado producers and 80 Chilean table grape producers using partial least squares analysis. The results of the comparative analysis of the three producer groups reveal that supply chain network relationships in the Chilean raspberry, avocado and table grape sectors highly predict each other's and the farmers' performance. Thereby, the results do not differ greatly among the three supply chains. The results provide interesting implications, indicating that Chilean small and medium-sized farms but also large farmers can increase farm performance by connecting more closely with trading partners. Furthermore, the findings give governmental offices the opportunity to increase their support for farmers.

scholarly journals Complexity Assessment of Assembly Supply Chains from the Sustainability Viewpoint

2019 ◽  
Vol 11 (24) ◽  
pp. 7156 ◽  
Author(s):  
Modrak ◽  
Soltysova ◽  
Onofrejova
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Material Flow ◽  
Assessment Methods ◽  
Complexity Measures ◽  
System Complexity ◽  
Supply Chain Networks ◽  
Factors Influencing ◽  
Community Stakeholders ◽  
Complexity Assessment

Assembly supply chain systems are becoming increasingly complex and, as a result, there is more and more need to design and manage them in a way that benefits the producers and also satisfies the interests of community stakeholders. The structural (static) complexity of assembly supply chain networks is one of the most important factors influencing overall system complexity. Structures of such networks can be modeled as a graph, with machines as nodes and material flow between the nodes as links. The purpose of this paper is to analyze existing assembly supply chain complexity assessment methods and propose such complexity metric(s) that will be able to accurately reflect not only specific criteria for static complexity measures, but also selected sustainability aspects. The obtained results of this research showed that selected complexity indicators reflect sustainability facets in different ways, but one of them met the mentioned requirements acceptably.

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