scholarly journals Leveraging open-standard interorganizational information systems for process adaptability and alignment

2019 ◽  
Vol 39 (6/7/8) ◽  
pp. 962-992
Author(s):  
Xiaodie Pu ◽  
Alain Yee Loong Chong ◽  
Zhao Cai ◽  
Ming K. Lim ◽  
Kim Hua Tan
Keyword(s):  
Supply Chain ◽  
Information Systems ◽  
Value Creation ◽  
Industry 4.0 ◽  
Content Type ◽  
Organizational Information ◽  
Open Standard ◽  
Three Stage Least Squares ◽  
The Impact ◽  
Positive Effect

Purpose The purpose of this paper is to understand the value creation mechanisms of open-standard inter-organizational information system (OSIOS), which is a key technology to achieve Industry 4.0. Specifically, this study investigates how the internal assimilation and external diffusion of OSIOS help manufactures facilitate process adaptability and alignment in supply chain network. Design/methodology/approach A survey instrument was designed and administrated to collect data for this research. Using three-stage least squares estimation, the authors empirically tested a number of hypothesized relationships based on a sample of 308 manufacturing firms in China. Findings The results of the study show that OSIOS can perform as value creation mechanisms to enable process adaptability and alignment. In addition, the impact of OSIOS internal assimilation is inversely U-shaped where the positive effect on process adaptability will become negative after an extremum point is reached. Originality/value This study contributes to the existing literature by providing insights on how OSIOS can improve supply chain integration and thus promote the achievement of industry 4.0. By revealing a U-shaped relationship between OSIOS assimilation and process adaptability, this study fills previous research gap by advancing the understanding on the value creation mechanisms of information systems deployment.

The impact of counterfeit risk management on healthcare supply chain performance: an empirical analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mauro Falasca ◽  
Scott Dellana ◽  
William J. Rowe ◽  
John F. Kros
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
The United States ◽  
Equation Modeling ◽  
Significant Positive Effect ◽  
Healthcare Organizations ◽  
Content Type ◽  
Overall Performance ◽  
The Impact ◽  
Positive Effect

PurposeThis study develops and tests a model exploring the relationship between supply chain (SC) counterfeit risk management and performance in the healthcare supply chain (HCSC).Design/methodology/approachIn the proposed theoretical model, HCSC counterfeit risk management is characterized by HCSC counterfeit risk orientation (HCRO), HCSC counterfeit risk mitigation (HCRM) and HCSC risk management integration (HRMI), while performance is represented by healthcare logistics performance (HLP) and healthcare organization overall performance (HOP). Partial least squares structural equation modeling (PLS-SEM) and survey data from 55 HCSC managers are used to test the research hypotheses.FindingsHCRO has a significant positive effect on HCRM, while HCRM has a positive impact on HRMI. With respect to HLP, HCRM has a nonsignificant effect, while HRMI has a significant impact, thus confirming the important mediating role of HRMI. Finally, HLP has a significant positive effect on the overall performance of healthcare organizations.Research limitations/implicationsAll study participants were from the United States, limiting the generalizability of the study findings to different countries or regions. The sample size employed in the study did not allow the authors to distinguish among the different types of healthcare organizations.Originality/valueThis study delineates between a healthcare organization's philosophy toward counterfeiting risks vs actions taken to eliminate or reduce the impact of counterfeiting on the HCSC. By offering firm-level guidance for managers, this study informs healthcare organizations about addressing the challenge of counterfeiting in the HCSC.

scholarly journals Industry 4.0 and supply chain process re-engineering

2020 ◽  
Vol 26 (5) ◽  
pp. 1093-1119 ◽  
Author(s):  
Andrea Patrucco ◽  
Federica Ciccullo ◽  
Margherita Pero
Keyword(s):  
Supply Chain ◽  
Industry 4.0 ◽  
Process Management ◽  
Research Approach ◽  
Chain Process ◽  
Materials Management ◽  
Content Type ◽  
External Process ◽  
Supply Chain Process ◽  
The Impact

PurposeThis paper contributes to the literature on supply chain process management by discussing how Industry 4.0 technologies can support process re-engineering in the context of the construction industry.Design/methodology/approachThe paper discusses the impact of Industry 4.0 technologies through an exploratory case study focused on the materials management process, using a coproduction of research approach where the main findings are obtained through the involvement of internal and external process actors.FindingsThe results show that the introduction of Industry 4.0 technologies could radically improve process performance, better supporting the execution of activities, increasing the effectiveness of communication between actors and favoring data collection and sharing. These technologies, characterized by the level of risk connected to their implementation, need to be introduced in combination with new organizational mechanisms, which may be beneficial for several supply chain actors.Originality/valueThrough the adoption of a research coproduction methodology, which is not common in the literature, this paper contributes to the ongoing discussion about how Industry 4.0 technologies contribute to process-centric supply chains, by discussing the benefits of these tools from the perspective of process actors.

The impact of supply chain fit on business and innovation performance in Brazilian companies

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ricardo Zimmermann ◽  
Luis Miguel D.F. Ferreira ◽  
Antonio Carrizo Moreira ◽  
Ana Cristina Barros ◽  
Henrique Luiz Correa
Keyword(s):  
Supply Chain ◽  
Business Performance ◽  
Demand Uncertainty ◽  
Supply And Demand ◽  
Empirical Studies ◽  
Innovation Performance ◽  
Manufacturing Companies ◽  
Content Type ◽  
The Impact ◽  
Positive Effect

PurposeThis paper investigates the effect of the fit between supply and demand uncertainty (SDU) and supply chain responsiveness (SCR) (SC fit) on business and innovation performance in Brazilian companies.Design/methodology/approachThe study presented an analysis carried out on an empirical study based on a sample of 150 manufacturing companies. Business and innovation performance of companies with different types of SC fit ( high–high and low–low fits) and misfit (positive and negative) are compared and discussed.FindingsThe results indicated that SC fit had a positive effect on both business and innovation performance. Further analyses suggested that companies with SC fit present similar business performance, independent of the level of SDU that characterizes the environment where they compete, while companies in environments with higher levels of uncertainty tend to present superior innovation performance. Companies with positive and negative misfit present similar performance.Originality/valueAn analysis of the literature showed that there is no consensus when it comes to the definitions and measurements of SC fit. The paper investigates the effects of SC fit on business and innovation performance, while previous empirical studies have mainly addressed its impact on financial performance. Moreover, this study compares the effects of two types of fit and two types of misfit and assesses SC fit in Brazilian manufacturing companies, analyzing the context of an under-researched reality.

Value of IT in supply chain planning

2015 ◽  
Vol 28 (1) ◽  
pp. 77-92 ◽  
Author(s):  
Christoph Fuchs ◽  
Andreas Otto
Keyword(s):  
Supply Chain ◽  
Value Creation ◽  
Manufacturing Industry ◽  
Continuous Production ◽  
Future Research ◽  
Supply Chain Planning ◽  
Production Flow ◽  
Content Type ◽  
Value Of It ◽  
The Impact

Purpose – The purpose of this paper is to understand value creation of information technology (IT) in supply chain planning (SCP). The impact of different IT components in SCP remains unclear and requires some thorough research. In addition, an analysis of the optimization dimension provides insights into intra-functional, inter-functional and cross-company optimization. Design/methodology/approach – A survey was conducted among German companies using a continuous production flow. In total, 47 of 193 contacted companies completed the web survey, which corresponds to a response rate of 24 percent. Findings – IT functionality for SCP is widely spread. The value of IT functionality in SCP is tremendous. Implementations in demand fulfillment and available-to-promise (ATP) have the biggest value creation potential. Supply chain performance indicators can be improved by investments in certain functional domains. Packaged standard software is widely distributed and should be considered as the first option. IT functionality to improve intra-functional processes is significantly more often implemented than IT functionality for inter-functional or cross-company process optimization although the realized value is comparable. Research limitations/implications – Respondents of the survey are limited to the German continuous production flow industry. Future research could be interesting in the discrete manufacturing industry. Originality/value – The paper provides empirical insights into the value of IT in SCP where data are less available than in the ERP context. Furthermore, this paper provides first insights into the optimization dimension whether processes are optimized intra-functional, inter-functional or cross-company.

The impact of applying knowledge in the technological pillars of Industry 4.0 on supply chain performance

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anurak Sawangwong ◽  
Poti Chaopaisarn
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Organizational Performance ◽  
Cyber Security ◽  
Industry 4.0 ◽  
Structural Equation ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Content Type ◽  
The Impact

PurposeThe purpose of the study is to investigate the impact of technological pillars of Industry 4.0 based on knowledge to adopt the supply chain performance of Thai small and medium-sized enterprises (SMEs) 4.0. In addition, to increase knowledge and understanding of how to apply knowledge in technology 4.0 to improve the efficiency of supply chains and organizations.Design/methodology/approachAn integrated model was developed from applying knowledge in five technological pillars of Industry 4.0 such as Internet of things (IoTs), cloud computing, big data and analytics, additive manufacturing and cyber-security. The bibliometric analysis was used to find the relationship between the technological pillars of Industry 4.0 and the literature review. The survey questionnaires were sent to Thai SME 4.0 (manufacturing aspect). Of these, 240 useable responses were received, resulting in a response rate of 65.84%, after then, the exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM) and validity were used to evaluate the model through IBM SPSS 21 and AMOS 22.FindingsEFA showed the four groups of the technological pillars of Industry 4.0, such as support human, automation, real-time and security. These groups positively impact supply chain performance (increase delivery reliability, increase resource efficiency, decrease costs in the supply chain and reduce delivery time). Another important finding is that supply chain performance positively impacts organizational performance in profitability, return on investment (ROI) and sale growth.Originality/valueThis study is a model development to support the supply chain performance and increase understanding related to applying knowledge in technology 4.0 that remains unclear for SME 4.0.

Distinguishing between the concepts of supply chain agility and resilience

2019 ◽  
Vol 30 (2) ◽  
pp. 467-487 ◽  
Author(s):  
David Gligor ◽  
Nichole Gligor ◽  
Mary Holcomb ◽  
Siddik Bozkurt
Keyword(s):  
Supply Chain ◽  
Information Systems ◽  
Supply Chain Management ◽  
Clear Understanding ◽  
Chain Management ◽  
Content Type ◽  
Sports Science ◽  
Supply Chain Agility ◽  
The Common ◽  
The Impact

Purpose The purpose of this paper is to add clarity to the multidimensional concepts of agility and resilience. In addition, this paper seeks to clarify the differences and similarities between the two concepts by integrating the distinct bodies of knowledge on agility and resilience. Design/methodology/approach A multidisciplinary systematic literature review is conducted. The concept of agility is explored through a review of the sports science, manufacturing, organizational, information systems and information systems development and supply chain literature bases. The concept of resilience is investigated through a review of the psychological and psychopathological, ecological, economic, organizational and supply chain literature bases. Findings Examining the complex relationship between the two constructs led to the emergence of six major dimensions to capture the concept of agility (i.e. ability to quickly change direction, speed/accelerate operations, scan the environment/anticipate, empower the customer/customize, adjust tactics and operations (flexibility), and integrate processes within and across firms). Similarly, six dimensions were uncovered for resilience (i.e. ability to resist/survive disruptions, avoid the shock altogether, recover/return to original form following disruption, speed/accelerate operations, adjust tactics and operations (flexibility) and scan the environment/anticipate). Agility and resilience were found to share three common dimensions (i.e. ability to adjust tactics and operations (flexibility), speed/accelerate operations and scan the environment/anticipate). Practical implications The identification of the common characteristics of agility and resilience carries important managerial implications from a resource allocation perspective. Allocating resources to the development of the common characteristics of agility and resilience can help firms maximize the impact of such investments. That is, by investing in the common characteristics of both they can improve supply chain agility and supply chain resilience. If firms approach the development or improvement of supply chain agility or resilience independent from one another, without an awareness of the common characteristics, they could be duplicating their investments resulting in supply chain redundancies and inefficiencies. Originality/value Not having a clear and comprehensive understanding of the similarities and differences between agility and resilience is problematic from a theoretical perspective. A clear understanding of what each construct represents provides a platform for building generalizable theory by helping researchers operationalize these constructs in a consistent manner. Further, providing a generalizable, comprehensive and multidisciplinary perspective on agility and resilience within supply chain management literature can help increase the visibility of the field of supply chain management across other disciplines as scholars outside the field of supply chain management can utilize the results of this research effort.

scholarly journals The impact of Industry 4.0 implementation on supply chains

2020 ◽  
Vol 31 (4) ◽  
pp. 669-686 ◽  
Author(s):  
Abhijeet Ghadge ◽  
Merve Er Kara ◽  
Hamid Moradlou ◽  
Mohit Goswami
Keyword(s):  
Supply Chain ◽  
Simulation Model ◽  
Supply Chains ◽  
Conceptual Model ◽  
Industry 4.0 ◽  
Successful Implementation ◽  
Technological Transformation ◽  
Implementation Framework ◽  
Content Type ◽  
The Impact

PurposeThe study aims to analyse the impact of Industry 4.0 implementation on supply chains and develop an implementation framework by considering potential drivers and barriers for the Industry 4.0 paradigm.Design/methodology/approachA critical literature review is performed to explore the key drivers and barriers for Industry 4.0 implementation under four business dimensions: strategic, organisational, technological and legal and ethical. A system dynamics model is later developed to understand the impact of Industry 4.0 implementation on supply chain parameters, by including both the identified driving forces and barriers for this technological transformation. The results of the simulation model are utilised to develop a conceptual model for a successful implementation and acceleration of Industry 4.0 in supply chains.FindingsIndustry 4.0 is predicted to bring new challenges and opportunities for future supply chains. The study discussed several implementation challenges and proposed a framework for an effective adaption and transition of the Industry 4.0 concept into supply chains.Research limitations/implicationsThe results of the simulation model are utilised to develop a conceptual model for a successful implementation and acceleration of Industry 4.0 in supply chains.Practical implicationsThe study is expected to benefit supply chain managers in understanding the challenges for implementing Industry 4.0 in their network.Originality/valueSimulation analysis provides examination of Industry 4.0 adoption in terms of its impact on supply chain performance and allows incorporation of both the drivers and barriers of this technological transformation into the analysis. Besides providing an empirical basis for this relationship, a new conceptual framework is proposed for Industry 4.0 implementation in supply chains.

An examination of the effects of cross-docking on retail out of stock

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yassine Benrqya
Keyword(s):  
Supply Chain ◽  
Delphi Study ◽  
Negative Impact ◽  
Positive Impact ◽  
Content Type ◽  
Cross Docking ◽  
Three Phase ◽  
The Impact ◽  
The Relationship ◽  
Positive Effect

PurposeThe objective of this paper is to examine the impact of cross-docking on the retail out of stock (OOS).Design/methodology/approachThe research is based on a three-phase Delphi study consisting of a seeding/literature review phase, a pre-testing phase and a three-round Delphi study. The Delphi study used in this paper brings together leading supply chain management experts with leading academics.FindingsThe findings of the paper show that cross-docking may impact the retailers OOS drivers positively or negatively. The study demonstrates that cross-docking has a negative impact on ordering, placement, delivery, handling, DC handling and receipt. On the other hand, cross-docking has a positive effect on supplier ordering. Finally, academics and supply chain managers disagreed on the effect of cross-docking on the promotions driver. Academics consider that cross-docking has a positive impact on promotions OOS driver, while supply chain managers believe the opposite.Research limitations/implicationsThe Delphi study was administrated to supply chain managers from a single major FMCG company, which is a supplier of grocery retailers. By including supply chain managers from the retailers' side, more perspectives on the impact of cross-docking on the OOS drivers can be investigated.Originality/valueThe study develops an original instrument to investigate the impact of cross-docking on OOS drivers. This is the first scholarly work to investigate the relationship between a distribution strategy and the OOS drivers.

Moderated influence of return frequency and resource commitment on information systems and reverse logistics strategic performance

2018 ◽  
Vol 67 (3) ◽  
pp. 550-570 ◽  
Author(s):  
Ankit Mahindroo ◽  
Harsh Vardhan Samalia ◽  
Piyush Verma
Keyword(s):  
Supply Chain ◽  
Information Systems ◽  
Reverse Logistics ◽  
Negative Impact ◽  
Rapid Evolution ◽  
Content Type ◽  
Resource Commitment ◽  
The Individual ◽  
The Impact ◽  
Strategic Outcomes

Purpose Reverse logistics (RL) is a strategic instrument across industries. The rapid evolution of online marketplaces has led to frequent product returns with variations across diversified businesses. These marketplaces have caused potential losses due to fraudulent returns, hence requiring a commitment of resources to RL. With information systems (IS) playing a role in improved supply chain performance, the purpose of this paper is to analyse the impact of a conceptualized IS framework on achieving RL strategic outcomes, under the individual moderating influence of resource commitment (RC) and return frequency. Design/methodology/approach Data have been collected through a questionnaire from top to middle management executives managing the supply chain, logistics and IS. Moderated regression analysis was conducted on the collected sample using Hayes’ (2013) process modeling. Findings The study depicts that IS capability, IS for logistics, IS partnership quality and IS for value addition lead to RL strategic benefits. Also, return frequency and RC act as relatively strong moderators with a negative impact. When analyzed for the individual IS constructs, RC has a stronger moderating impact than return frequency. Practical implications The IS usage framework can be used effectively by practitioners for enhancing strategic RL performances depending on variations in committed resources and return frequency for individual industries. Originality/value The study proposes an IS usage framework for achieving enhanced RL strategic outcomes and emphasizes on the moderating role played by RC and return frequency for producing the results.

Supply Chain and Inter-Organizational Information Systems Role

2019 ◽  
pp. 27-55
Author(s):  
Tharwa Najar ◽  
Mokhtar Amami
Keyword(s):  
Supply Chain ◽  
Information Systems ◽  
Supply Chain Management ◽  
Strategic Alliances ◽  
Virtual Enterprise ◽  
Supply Chain Performance ◽  
Chain Management ◽  
Theoretical Approaches ◽  
Organizational Information ◽  
The Impact

Since their initiation—characterized by an unsophisticated structure—organizations declare the necessity to organize, coordinate, and manage resources. This necessity is emphasized through the appearance of emergent types of structure assorted with crossing boundaries strategies (strategic alliances, virtual enterprise, modular enterprise, and so forth). This paradigm shift has a prevailing effect on the “way of doing” within organizations and networks. The chapter aims to expose the theoretical approaches that explain the formation and the dynamics of the supply chain (Section 1). As a second step, the notion of the supply chain management (Section 2) and the supply chain performance. It also presents the impact of the IOS use on supply chain performance (Section 3).

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