scholarly journals Dynamic Modeling and Simulation of How Information Sharing Influences Supply Chain Performance

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Weibin Wang ◽  
Renyong Chi
Keyword(s):  
Supply Chain ◽  
Theoretical Model ◽  
Information Sharing ◽  
Yangtze River Delta ◽  
Operational Performance ◽  
Manufacturing Enterprises ◽  
Yangtze River Delta Region ◽  
Manufacturing Supply Chain ◽  
Valid Index ◽  
High Level

With the growing intensity of cooperation, the partners in the manufacturing supply chain (SC) raise stricter requirements for information sharing (IS) within the SC, which has been an effective capability to improve the performance of manufacturing SC. To reveal the influence of IS on SC performance, this paper firstly carries out a theoretical analysis on the influencing factors of IS, SC integration and SC performance, and builds a theoretical model of the IS’s impacting on SC performance. Next, valid index data were obtained by investigating typical manufacturing enterprises in Yangtze River Delta region of China. Then, according to the dynamics system flow of IS influence on SC performance, the proposed theoretical model would be modeled from system dynamics and simulated by Vensim PLE software. The results show that IS among manufacturing SC nodes enhances the SC performance via SC integration; when SC integration is suitable for IS, SC performance will be improved as long as the IS amount is greater than zero; however, excessive IS would reduce the quality and weaken the amount of IS; overall, the degree of IS and SC integration are the key to better SC performance. This implies that how to improve IS among SC partners is a very important thing in manufacturing SC management. And, it also enlightens that enterprise managers should pay attention to establish a high-level trust relationship with SC partners, achieve high-quality IS with a wider range, and then promote the SC system more integrated to improve its operational performance.

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.

How internal integration, information sharing, and training affect supply chain risk management capabilities

2016 ◽  
Vol 46 (10) ◽  
pp. 953-980 ◽  
Author(s):  
Jason M. Riley ◽  
Richard Klein ◽  
Janis Miller ◽  
V. Sridharan
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Information Sharing ◽  
Operational Performance ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type ◽  
Internal Integration ◽  
Supply Chain Risks ◽  
And Training

Purpose The purpose of this paper is to determine if internal integration, information sharing, and training constitute direct antecedents to organizations’ warning and recovery capabilities. Assuming that organizations periodically face various supply chain risks, the authors intend to show that managers can develop these antecedent competencies in ways that bolster their supply chain risk management (SCRM) capabilities. Design/methodology/approach To understand the relationships between the antecedents and SCRM capabilities, the authors used Q-sorts and confirmatory factor analysis to develop new warning and recovery measures. The authors then collected survey data from 231 hospital supply managers and analyzed these records using structural equation modeling. Findings The results indicate that internal integration and training positively affect organizations’ warning and recovery capabilities, in both a direct and indirect manner. The authors also illustrate how managers can leverage their SCRM capabilities to affect operational performance. Research limitations/implications These results suggest that by developing antecedent competencies like internal integration and training, firms may bolster their warning and recovery capabilities, and ultimately operational performance of the organization. Originality/value The findings provide hospital supply organizations and other inventory management teams with a novel approach to managing an evolving array of supply chain risks. Rather than investing in costly risk management techniques, like inventory stocks, organizations can use internal integration and training to improve their SCRM capabilities.

scholarly journals Does the Direct Settlement Policy of Trans-Provincial Outpatient Expenses Aggravate the Siphoning Effect? An Empirical Study on Yangtze River Delta, China

2021 ◽  
Vol 18 (19) ◽  
pp. 10001
Author(s):  
Li Li ◽  
Qingyu Zhou ◽  
Ting Yin ◽  
Zisheng Ji ◽  
Lufa Zhang
Keyword(s):  
Medical Treatment ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
Spatial Accessibility ◽  
Outpatient Visits ◽  
Yangtze River Delta Region ◽  
First Choice ◽  
Regional Medical ◽  
High Level

To solve the problem of reimbursing trans-regional medical expenses, using only cross-regional manual reimbursement but not direct medical insurance card settlement, China implemented a pilot policy of direct settlement of trans-provincial outpatient expenses (DSTOE) in the Yangtze River Delta region. Due to the differences in inter-regional medical development, patients often migrate from areas with low-level medical resources to the high-level areas, a phenomenon that we define as the “siphoning” of trans-regional patients, which can cause a variety of problems. To study whether DSTOE aggravates the siphoning effect, we analyzed the changes in the volume of trans-provincial outpatient visits and conducted a questionnaire survey and factor analysis on the willingness of trans-provincial medical treatment under DSTOE. Results showed that manual reimbursement was gradually replaced by direct settlement, while the total volume was not increased significantly, and the ratio of outpatient visits flowing into and out from Shanghai decreased. The majority of questionnaire respondents confessed that their willingness toward trans-regional medical treatment increased, while their first choice of medical location was still mainly local, with only a few indicating that they would directly choose a cross-regional, higher-level medical institution. Spatial accessibility significantly restricted the seeking of trans-regional medical treatment, whereas age, education level, and policy awareness served as significant protective factors for the choice of medical location. In conclusion, due to space accessibility constraints, insufficient policy coverage, and the rationale for choice of location, DSTOE did not aggravate the siphoning effect of trans-regional patients.

scholarly journals Managerial Views of Supply Chain Collaboration: An Empirical Study

2009 ◽  
Vol 11 (2) ◽  
pp. 253 ◽  
Author(s):  
Ramaswami Sridharan ◽  
Togar M Simatupang
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Collaborative Practice ◽  
Operational Performance ◽  
Supply Chain Collaboration ◽  
Key Factors ◽  
Incentive Alignment ◽  
Managerial Perceptions ◽  
Survey Results ◽  
The Relationship

  This paper is carried out to empirically examine managerial perceptions on the relationship between supply chain collaboration practice and operational performance. The framework suggests that collaborative practice is characterised by three distinct factors: (1) decision synchronisation, (2) information sharing, and (3) incentive alignment, which enable the chain members to effectively match supply with customer demand. An important question is whether or not collaborative practice leads to better operational performance. A survey research was employed to assess the relationship between collaborative practice and operational performance of New Zealand companies. The survey results show significant positive impacts of key factors of collaborative practice on operational performance. The findings suggest that information sharing, decision synchronisation, and incentive alignment are important determinants of operational performance. This study demonstrates that the chain members need to understand the role of different key factors of collaborative practice that can be redesigned to leverage operational performance.

The risk assessment of manufacturing supply chains based on Bayesian networks with uncertainty of demand

2021 ◽  
pp. 1-19
Author(s):  
Mengjun Meng ◽  
Qiuyun Lin ◽  
Yingming Wang
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Information Sharing ◽  
Evaluation System ◽  
Demand Uncertainty ◽  
Risk Identification ◽  
Assessment Model ◽  
Risk Indicators ◽  
Uncertain Demand ◽  
Manufacturing Supply Chain

The great changes in the external environment of the manufacturing supply chain make its demand more complex and difficult to control. This paper takes China as an example. According to questionnaire survey and principal component analysis, the risk indicators caused by uncertain demand are screened and classified to construct evaluation system and complete risk identification. The Bayesian network integrating fuzzy set theory and left and right fuzzy ranking is used to explore the relationship between risk indicators and supply chain to achieve risk evaluation. In view of the highest risk factors, an incentive mechanism model based on information sharing is put forward to prove theoretically that information sharing is an important strategy to reduce risk. The results are as follows: The uncertain demand will lead to a high level of risk in China’s manufacturing supply chain, in which the level of information technology is the biggest cause. Only when manufacturing enterprises are willing to share information and other node enterprises join the information sharing team, can demand uncertainty be fundamentally reduced. The proposed risk assessment model realizes the method innovation and theoretical innovation. It can practical and effectively help relevant enterprises to determine and control risks.

Supply Risk Structural Equation Model of Trust, Dependence, Concentration, and Information Sharing Strategies

2013 ◽  
Vol 2 (2) ◽  
pp. 58-79
Author(s):  
Santanu Mandal ◽  
Sourabh Bhattacharya
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Structural Equation ◽  
Measurement Model ◽  
Equation Model ◽  
Equation Modeling ◽  
Supply Side ◽  
Capital Theory ◽  
Structural Relationships ◽  
High Level

The purpose of the paper was to formulate a framework for supply side risk and empirically validate the same in the Indian context. A framework was developed for supply side risk by starting with a structured literature review complemented with theoretical underpinnings from the principles of Resource Based Value, Transaction Cost Economies and the Relational Capital Theory. The study validated the framework through a survey of 164 purchasing and supply chain managers in India. The study used confirmatory factor analysis to develop the measurement model. Structural equation modeling was deployed for testing the proposed structural relationships and hypotheses. The findings clearly indicated that factors such as supplier concentration, supplier dependence, sourcing strategies and trust towards customers enhanced the supply side risk situation for the organization. In contrast to this, trust towards suppliers and high level of information sharing among the supply chain partners created undesired risk.

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