ISM and fuzzy logic approach to model and analyze the variables in downstream supply chain for perfect order fulfillment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajiv Kumar Sharma
Keyword(s):  
Fuzzy Logic ◽  
Supply Chain ◽  
Information Sharing ◽  
Data Accuracy ◽  
Second Phase ◽  
Optimum Level ◽  
Delivery Time ◽  
Order Fulfillment ◽  
Content Type ◽  
Perfect Order

PurposeAs we move up in the supply chain (SC) from retailer to supplier, amplification in the fluctuation of order increased. To minimize this amplification, understanding of key decision variables which affects the SC is essential. So, in the present work the authors developed a novel approach to examine the structural dependencies among variables responsible for perfect order fulfillment (POF).Design/methodology/approachInterpretive structural modeling approach has been used to model the structural relationship among the key SC variables. Further, to study the driver-dependence dynamics among variables MICMAC analysis has been used. In the second phase, the influence of driver variables on the POF is investigated by using fuzzy logic.FindingsFrom the results, it is observed that the variables’ delivery time, number of echelons, data accuracy and information sharing have high driving power which may help the organizations to meet challenges offered by POF. The results showed that for POF is said to be at optimum level when the number of echelons should be low and data accuracy should be high, and information sharing among all partners should also be very high.Research limitations/implicationsResearch on SC is classified into three categories, i.e. operational, design and strategic. In the present study authors discussed strategic variables responsible for POF which is the main limitation of the study. The work can be extended by including operational and design variables.Practical implicationsPOF in SC network is affected by various variables. The in-depth understanding of contextual association among the variables helps the managers to improve the efficiency of the SC and reduce the bullwhip effect across the downstream SC network.Originality/valueThe study presents a hybrid approach to analyze the key POF dimensions, i.e. forecasting, number of echelons, information sharing, cycle time and delivery time, critical to POF in downstream SC network by developing various case settings.

Contrasting supply chain traceability and supply chain visibility: are they interchangeable?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vivek Roy
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Information Sharing ◽  
Design Methodology ◽  
Relevant Literature ◽  
Future Research ◽  
Critical Element ◽  
Effective Management ◽  
Chain Management ◽  
Content Type

PurposeSupply chain traceability and supply chain visibility have become a critical element for the effective management of contemporary complex supply chains. At their core is information sharing, which has been acknowledged as a key prerequisite for logistics and supply chain performance, but whose notional underpinnings have not been delineated fully, leading to interchangeable deployment of these terms. Addressing the shortcoming, this paper aims to establish a contrast between the two notions.Design/methodology/approachDrawing from systematic review protocols, a multi-disciplinary review scope is constructed wherein the synthesis is strategized to primarily channel implications for the scholarship of logistics and supply chain management. The review is aimed at addressing two research objectives: (1) how the notions of traceability and visibility in supply chain management develop contrast in terms of their thematic emphasis and (2) to attain an integrative understanding of the notional convergence and divergence between supply chain traceability and visibility for raising strategic recommendations.FindingsThe review outcomes help contrast both the convergence and the divergence between traceability and visibility in the supply chain environment, and the differentiated but fundamental role that information sharing plays within these notions to outline why they are not interchangeable.Originality/valueThe originality of the findings lies in the conceptual synthesis of the relevant literature from both technological and non-technological perspectives to ultimately draw logistics and supply chain management implications. The review also points out key strategic considerations to demarcate the notional boundaries of traceability and visibility in future research.

The relationship between information sharing, informal contracts and trust on performance of supply chain management in the SMEs of batik

2018 ◽  
Vol 22 (3) ◽  
pp. 292-314 ◽  
Author(s):  
Aries Susanty ◽  
Norma Mustiana Sirait ◽  
Arfan Bakhtiar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Data Collection ◽  
Information Sharing ◽  
Significant Positive Effect ◽  
Chain Management ◽  
Content Type ◽  
Informal Contracts ◽  
The Relationship ◽  
Positive Effect

Purpose The purpose of this study is twofold: to examine the effect of information sharing and contract on increasing the trust level in the relationship between the batik small- and medium-size enterprises (SMEs) and supplier and to examine the trust on performance of a supply chain related to the procurement of raw cotton fabric (mori). Design/methodology/approach This research used primary data collected through interviews and closed questionnaires using a five-point Likert scale. The sample included 65 people, including batik SME-owners in Pekalongan, a Central Java city. This research was conducted using partial least square (PLS) through SmartPLS 3.0 software to analyze the hypothesis. Findings The results of hypothesis testing indicate that trust between owners of SME and their suppliers has a significant positive effect on the performance of supply chain management (SCM). Strong trust between batik SME- owners with their suppliers will be beneficial for both parties. Among other things, trust can reduce unnecessary cost and activity, reduce the waiting time for the arrival of raw material, reduce the number of inventories and increase profit and customer satisfaction. This result has also show that information sharing and informal contract have a significant positive effect on trust between batik SME-owners and their mori suppliers. In this case, information sharing has a higher effect on trust compared to informal contract. Broader information was distributed to the batik SME-owners and their suppliers, resulting in stronger trust between them. Research limitations/implications The limitations of this study include the relatively small sample size and data collection method used to determine the effect of trust, the number of the antecedent variables of trust and the type of scale used to measure the performance of the supply chain. Suggestions for future research may include expanding the scope of the data collection to other regions in Indonesia; adopting a dyadic approach and longitudinal research in providing evidence on the effect of trust as a component of an interactive activity along the supply chain; adding other variables that contribute towards increasing the trust between SMEs and their suppliers (such as commitment); and enhancing the performance measurement of SCM by using a direct measure of financial and non-financial performance instead of recording the perception of the batik SME-owners. Practical implications As the scale of their business increases, it is better if the batik SMEs can enhance information sharing and informal contract with suppliers to promote the development of trust. In this case, to ensure that batik SMEs will have better information sharing from their supplier, it is better if the batik SME-owners using the criteria of supplier willingness to share detailed information when they select the new supplier. Then, to increase the role of contract on trust, it is better if owner of batik SME learn to understand the written contract processes and procedures as their business scale increases. Social implications The research confirms that information sharing, informal contract and trust between batik SMEs and their suppliers can have a positive effect on the performance of the supply chain. It may encourage more SMEs and suppliers in the batik industry to build better information sharing, informal contract and trust as a bottom line for the economic and non-economic growth of their business. Originality/value The conceptual model used in this study is original, built from past research about the relationship between information sharing, informal contract and trust on the performance of the supply chain. Besides, the selection of the sample is also original, which in this case is on the batik SMEs which have informal contracts. This case has still been rarely studied, and the research is therefore highly valuable.

Potentials of blockchain technologies for supply chain collaboration: a conceptual framework

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abderahman Rejeb ◽  
John G. Keogh ◽  
Steven J. Simske ◽  
Thomas Stafford ◽  
Horst Treiblmaier
Keyword(s):  
Supply Chain ◽  
Conceptual Framework ◽  
Information Sharing ◽  
Resource Sharing ◽  
Supply Chain Collaboration ◽  
Goal Congruence ◽  
Content Type ◽  
Information Transparency ◽  
Narrative Literature Review ◽  
Key Dimensions

PurposeThe purpose of this study is to investigate the potentials of blockchain technologies (BC) for supply chain collaboration (SCC).Design/methodology/approachBuilding on a narrative literature review and analysis of seminal SCC research, BC characteristics are integrated into a conceptual framework consisting of seven key dimensions: information sharing, resource sharing, decision synchronization, goal congruence, incentive alignment, collaborative communication and joint knowledge creation. The relevance of each category is briefly assessed.FindingsBC technologies can impact collaboration between transaction partners in modern supply chains (SCs) by streamlining information sharing processes, by supporting decision and reward models and by strengthening communicative relationships with SC partners. BC promises important future capabilities in SCs by facilitating auditability, improving accountability, enhancing data and information transparency and improving trust in B2B relationships. The technology also promises to strengthen collaboration and to overcome vulnerabilities related to moral hazard and shortcomings found in legacy technologies.Research limitations/implicationsThe paper is mainly focused on the potentials of BC technologies on SCC as envisioned in the current academic literature. Hence, there is a need to validate the theoretical inferences with other approaches such as expert interviews and empirical tests. This study is of use to practitioners and decision-makers seeking to engage in BC-collaborative SC models.Originality/valueThe value of this paper lies in its call for an increased focus on the possibilities of BC technologies to support SCC. This study also contributes to the literature by filling the knowledge gap of how BC potentially impacts SC management.

How does information integration enhance SMEs’ credit quality: the mediating role of supply chain capabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yaqin Yuan ◽  
Linlin Liu ◽  
Liu Liu
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Theoretical Model ◽  
Information Sharing ◽  
Information Integration ◽  
Theoretical Research ◽  
Equation Modeling ◽  
Content Type ◽  
Credit Quality

PurposeThis paper aims to investigate the relationship between information integration, supply chain capabilities and credit quality of small and middle enterprises (SMEs) in supply chain finance (SCF).Design/methodology/approachGrounded in the resource-based view (RBV) and signaling theory, this study proposes a theoretical model. Then, structural equation modeling and interview analysis are employed to test the theoretical model.FindingsThe results show that both two aspects of information integration, namely, information technology and information sharing, have positive effects on the SMEs’ credit quality in SCF, and these effects are mediated by supply chain capabilities.Originality/valueFirst, the paper contributes to SCF literature by simultaneously examining the role of two dimensions of information integration (information technology and information sharing) in enhancing SMEs’ credit quality. Second, this paper enriches the existing theoretical research on SCF by integrating the SMEs perspective and SCF service provider perspective. Moreover, this paper explores the indirect effects of information integration on SMEs’ credit quality by incorporating supply chain capabilities as a mediating factor.

Investigating the impact of inventory inaccuracy on the bullwhip effect in RFID-enabled supply chains using colored petri nets

2019 ◽  
Vol 14 (2) ◽  
pp. 360-384 ◽  
Author(s):  
Maria Drakaki ◽  
Panagiotis Tzionas
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Petri Nets ◽  
Information Sharing ◽  
Bullwhip Effect ◽  
Colored Petri Nets ◽  
Content Type ◽  
Multi Stage ◽  
The Impact ◽  
Serial Supply Chains

PurposeInformation distortion results in demand variance amplification in upstream supply chain members, known as the bullwhip effect, and inventory inaccuracy in the inventory records. As inventory inaccuracy contributes to the bullwhip effect, the purpose of this paper is to investigate the impact of inventory inaccuracy on the bullwhip effect in radio-frequency identification (RFID)-enabled supply chains and, in this context, to evaluate supply chain performance because of the RFID technology.Design/methodology/approachA simulation modeling method based on hierarchical timed colored petri nets is presented to model inventory management in multi-stage serial supply chains subject to inventory inaccuracy for various traditional and information sharing configurations in the presence and absence of RFID. Validation of the method is done by comparing results obtained for the bullwhip effect with published literature results.FindingsThe bullwhip effect is increased in RFID-enabled multi-stage serial supply chains subject to inventory inaccuracy. The information sharing supply chain is more sensitive to the impact of inventory inaccuracy.Research limitations/implicationsInformation sharing involves collaboration in market demand and inventory inaccuracy, whereas RFID is implemented by all echelons. To obtain the full benefits of RFID adoption and collaboration, different collaboration strategies should be investigated.Originality/valueColored petri nets simulation modeling of the inventory management process is a novel approach to study supply chain dynamics. In the context of inventory errors, information on RFID impact on the dynamic behavior of multi-stage serial supply chains is provided.

scholarly journals Information sharing in supply chains: a review of risks and opportunities using the systematic literature network analysis (SLNA)

2019 ◽  
Vol 24 (1) ◽  
pp. 5-21 ◽  
Author(s):  
Claudia Colicchia ◽  
Alessandro Creazza ◽  
Carlo Noè ◽  
Fernanda Strozzi
Keyword(s):  
Supply Chain ◽  
Network Analysis ◽  
Literature Review ◽  
Supply Chains ◽  
Information Sharing ◽  
Content Type ◽  
Network Analyses ◽  
Dynamic Representation ◽  
Research Areas ◽  
Over Time

Purpose The purpose of this paper is to identify and discuss the most important research areas on information sharing in supply chains and related risks, taking into account their evolution over time. This paper sheds light on what is happening today and what the trajectories for the future are, with particular respect to the implications for supply chain management. Design/methodology/approach The dynamic literature review method called Systematic Literature Network Analysis (SLNA) was adopted. It combines the Systematic Literature Review approach and bibliographic network analyses, and it relies on objective measures and algorithms to perform quantitative literature-based detection of emerging topics. Findings The focus of the literature seems to be on threats that are internal to the extended supply chain rather than on external attacks, such as viruses, traditionally related to information technology (IT). The main arising risk appears to be the intentional or non-intentional leakage of information. Also, papers analyze the implications for information sharing coming from “soft” factors such as trust and collaboration among supply chain partners. Opportunities are also highlighted and include how information sharing can be leveraged to confront disruptions and increase resilience. Research limitations/implications The adopted methodology allows for providing an original perspective on the investigated topic, that is, how information sharing in supply chains and related risks are evolving over time because of the turbulent advances in technology. Practical implications Emergent and highly critical risks related to information sharing are highlighted to support the design of supply chain risks strategies. Also, critical areas to the development of “beyond-the-dyad” initiatives to manage information sharing risks emerge. Opportunities coming from information sharing that are less known and exploited by companies are provided. Originality/value This paper focuses on the supply chain perspective rather than the traditional IT-based view of information sharing. According to this perspective, this paper provides a dynamic representation of the literature on the investigated topic. This is an important contribution to the topic of information sharing in supply chains is continuously evolving and shaping new supply chain models.

Supply chain information sharing: challenges and risk mitigation strategies

2016 ◽  
Vol 27 (8) ◽  
pp. 1102-1126 ◽  
Author(s):  
Thi Thanh Huong Tran ◽  
Paul Childerhouse ◽  
Eric Deakins
Keyword(s):  
Supply Chain ◽  
New Zealand ◽  
Information Sharing ◽  
Data Exchange ◽  
Risk Mitigation ◽  
Exchange Process ◽  
Small Sample ◽  
Mitigation Strategies ◽  
Structured Interviews ◽  
Content Type

Purpose The purpose of this paper is to investigate how managers perceive risks associated with sharing information with trading partners, and how they attempt to mitigate them. Design/methodology/approach In this exploratory New Zealand study, qualitative research was conducted involving semi-structured interviews with boundary spanning managers who are responsible for inter-organizational interfaces. Multiple case studies in different industries are used to highlight managers’ perceptions of risks in data exchange process throughout the supply network, and their underlying reasoning. Findings Managers perceive several types of risks when exchanging information across external supply chain interfaces, and adopt different approaches to handling them. The research also reinforces the vital role played by interpersonal relationships and trust as key enablers of inter-organizational cooperation. Research limitations/implications The findings are based on a small sample of 11 case companies based in a single New Zealand province, thereby potentially restricting generalizability. Future work could usefully extend the sample size in order to investigate the correlations between firm sizes, levels of trust, and degrees of data integration within particular industry sectors. Practical implications The findings will help managers understand and evaluate different types of risks in the data exchange process, and enable them to make better decisions that enhance information sharing and supply chain performance. Originality/value Perceived information sharing risks are peculiar to the individual actors, and as such need to be mitigated through changes to their socially constructed perceptions. This work extends the literature on understanding the various dimensions of inter-organizational information sharing.

Social capital, relational learning, and performance of suppliers

2018 ◽  
Vol 30 (2) ◽  
pp. 417-437 ◽  
Author(s):  
Badri Munir Sukoco ◽  
Hardi Hardi ◽  
Alfiyatul Qomariyah
Keyword(s):  
Social Capital ◽  
Supply Chain ◽  
Information Sharing ◽  
Knowledge Integration ◽  
Relational Learning ◽  
Social Practices ◽  
Sense Making ◽  
Content Type ◽  
And Performance ◽  
The Relationship

Purpose The relationship between buyers and suppliers over the years – social practices – facilitate the development of social capital (SC), and it contributes to the relationship performance (RP) for both parties. The purpose of this paper is to examine the mechanisms that transform SC into RP. By exercising the relationship learning (joint sense-making, information sharing, and knowledge integration), this paper proposes that SC will transform into RP. Design/methodology/approach Quantitative study was employed in this study. Questionnaires were distributed to first-tier supplier of Astra Group (Astra International) in Indonesia. In total, 211 questionnaires were used for data analysis in this study. Findings The results exhibit that cognitive and structural SC contribute to the development of relational SC. Further, relational SC was positively associated with joint sense-making, which then goes through information sharing, knowledge integration, and finally RP. Research limitations/implications The cross-sectional data in a specific context (a firm) in Indonesia serve as a major limitation of this study. The development of SC and learning as a social process might not be captured well by using the current method – surveys. Furthermore, a major problem is caused by a one-sided survey that depends on the suppliers’ perceptions and judgments of relationship learning and performance. Practical implications The results suggest that managers and other relationship actors would benefit from the competency to develop practices and activities with suppliers regarding developing trust. The trust development is facilitated by having common understanding and interactions regularly, either by participating in formal and/or informal activities with suppliers. Building consensus – joint sense-making, between buyers and suppliers are crucial practices in relationship learning before knowledge sharing and knowledge integration practices are in place. And finally, managers should actively integrate this knowledge in order to increase their RP. Originality/value This study empirically tests the supply chain practice view as a new theoretical perspective in the supply chain management literature. It also extends the utilization of social practices – SC – since it is crucial in a buyer-supplier relationship. It also presents that relationship learning is a mechanism that could transform SC into RP, and thus bridge the SC and collaborative learning theory. Finally, this study indicates that inside relational learning, there are sequences of joint sense-making-information sharing-knowledge integration, before it moves on to RP.

Achieving automotive suppliers’ mass customization through modularity

2019 ◽  
Vol 31 (2) ◽  
pp. 306-329 ◽  
Author(s):  
Qun Wu ◽  
Kun Liao ◽  
Xiaodong Deng ◽  
Erika Marsillac
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Mass Customization ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type ◽  
Automotive Suppliers ◽  
Product And Process ◽  
Role Of Information

Purpose Previous literature tends to combine postponement and modularity or view them as parallel factors to achieve mass customization (MC) while ignoring the sequence of a firm to design and implement operations and supply chain strategy. Based on a customer-oriented strategy and theories of organizational information processing theory, three-dimensional (3D) concurrent engineering and resource dependency, the purpose of this paper is to propose a sequential model reflecting the sequence of practices as well as an overview picture for a firm to achieve MC. Design/methodology/approach The model links three company antecedents – postponement orientation, operational alignment and information sharing, to three company supply chain practices – product and process modularity and supplier segmentation. These practices, in turn, lead to the company’s MC capabilities. The proposed model is tested with a data set collected from automotive suppliers in China and in the USA. Structural equation modeling is used to analyze the data and test the model. Findings The results suggest that, for suppliers to achieve MC, postponement orientation and operational alignment are vital antecedents. The results also reveal the important responsibility and role of information sharing practices in coordinating suppliers’ modularity practices. Originality/value This research provides three findings that are of value to both academicians and practitioners of supply chain management. First, this study originally proposed and empirically tested that a postponement orientation is an antecedent of product and process modularity and supplier segmentation to achieve MC in the automotive sector, contrary to the traditional view of parallel relationships for both. Second, it developed and verified measures of operational alignment and supplier segmentation for future research use. Third, the vital role of information sharing to coordinate internal and external supply chain practices to achieve MC is empirically supported.

Big data use and its outcomes in supply chain context: the roles of information sharing and technological innovation

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hamza Saleem ◽  
Yongjun Li ◽  
Zulqurnain Ali ◽  
Muhammad Ayyoub ◽  
Yu Wang ◽  
...  
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Information Sharing ◽  
Technological Innovation ◽  
Dynamic Capabilities ◽  
Survey Methods ◽  
Organizational Outcomes ◽  
Production Costs ◽  
Content Type ◽  
Product And Process

PurposeThis paper aims to investigate the use of big data (BDU) in predicting technological innovation, supply chain and SMEs' performance and whether technological innovation mediates the association between BDU and firm performance. Additionally, this research also seeks to explore the moderating effect of information sharing in the association between BDU and technological innovation.Design/methodology/approachUsing survey methods and structural associations in AMOS 24.0., the proposed model was tested on SME managers recruited from the largest economic and manufacturing hub of China, Pearl River Delta.FindingsThe findings suggest that BDU is positively related to technological innovation (product and process) and organizational outcomes (e.g., supply chain and SMEs performance). Technological innovation (i.e., product and process) significantly mediates the association between BDU and organizational outcomes. Moreover, information sharing positively moderates the association between BDU and technological innovations.Practical implicationsThis research provides deeper insights into how BDU is useful for SME managers in achieving the firm’s goals. Particularly, SME managers can bring technological innovation into their business processes, overcome the challenges of forecasting, and generate dynamic capabilities for attaining the best SMEs’ performance. Additionally, BDU with information sharing enables SMEs reduce their risk and decrease production costs in their manufacturing process.Originality/valueFirms always need to adopt new ways to enhance their productivity using available resources. This is the first study that contributes to big data and performance management literature by exploring the moderating and mediation mechanism of information sharing and technological innovation respectively using RBVT. The study and research model enhances our insights on BDU, information sharing, and technological innovation as valuable resources for organizations to improve supply chain performance, which subsequently increases SME productivity. This gap was overlooked by previous researchers in the domain of big data.

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