Interaction between supply chain risk and organizational performance

To offer a theoretic guidance to practice, on the basis of the work in an emerging strand of supply chain management and by matching the constructs of performance and risk together, a framework between supply chain risk management and organizational performance is developed. The framework includes a series of mutually associated processes as follows: risk sources and profiles, risk and performance drives, risk and performance consequences, risk management responses, and risk and performance outcomes. Furthermore, every process is elaborated on in detail. Thereinto, organizational performance consists of efficiency and effectiveness which is linked to risk drivers and risk management responses. Finally, some necessary discussions and supplements are put forward from a practical point of view. This study is to some extent expected to be conducive to the theories and the practice of supply chain management for contemporary enterprises.

Performance Evaluation System of Pig Supply Chain Based on Time-Space Perspective and Balanced Score Card(BSC)

The overall structure of live pig supply chain was constructed based on theoretical study and practical investigation, and the performance evaluation sys- tem for supply chain was studied from two perspectives of time and space and balanced score card （BSC）. From the space perspective and BSC, the performance evaluation system composed of four primary indicators （financial dimension, customer dimension, internal business dimension and innovation/learning perspective） and 26 secondary indicators. From the time perspective and BSC, the system could be divided into four stages, including formation stage, development stage, matu- rity stage and recession stage, with a total of 30 indicators.

The Moderating Effects of Gender Diversity on Supply Chain Practice and Firm Performance

This research investivates the moderating effects of employees gender diversity and uncertainty on the relationship between supply chain practices and the performance of the firm which have a supply chain, Current supply chain management has become a possibly valuable way of improving firm performance, Gender plays an important role in the performance of an organization, but it has not get emphasize in research so far, This study provides a conceptual justification for a proposed model that identifies the relationships between supply chain practices and firm performance and describes the moderating effect of gender diversity and uncertainty, The higher levels of supply chain practice can lead to enhance firm performance, Also, gender diversity and uncertainty has an interaction effect on this relationship.

Assessing supply chain performance using genetic algorithm and support vector machine

The rough set-genetic support vector machine(SVM) model is applied to supply chain performance evaluation. First, the rough set theory is used to remove the redundant factors that affect the performance evaluation of supply chain to obtain the core influencing factors. Then the support vector machine is used to extract the core influencing factors to predict the level of supply chain performance. In the process of SVM classification, the genetic algorithm is used to optimize the parameters of the SVM algorithm to obtain the best parameter model, and then the supply chain performance evaluation level is predicted. Finally, an example is used to predict this model, and compared with the result of using only rough set-support vector machine to predict. The results show that the method of rough set-genetic support vector machine can predict the level of supply chain performance more accurately and the prediction result is more realistic, which is a scientific and feasible method.

Investigating Supply Chain Integration Effects on Environmental Performance in the Jordanian Food Industry

The purpose of this study was to examine the effects of supply chain integration on environmental performance of food manufacturing companies in Jordan. Data for this study were collected from one hundred and nineteen food companies. To answer the study questions, and to verify its hypotheses, descriptive statistical tools and linear regression tests were used. The study results indicated that supply chain integration positively affected environmental performance. Additionally, the results showed that supply chain integration positively affected environmental control and pollution management.

The Impact of Electronic Supply Chain Management Usage on Firm’s Performance

This study investigates the status of e-SCM and performance among Jordanian manufacturing sector. The objective of this study is to analyze the impact of trust and communication on the e-SCM usage. Moreover, the study investigates the effect of the trust and communication on the firm’s performance while the e-SCM usage is used as a mediating factor on firm’s performance. The proposed research model was validated by distributing 250 survey questionnaires to the manufacturing sector in Jordan. Structural equation modelling (SEM) technique was used to analyze the results. One of the main limitations of this study was that the results could not be universal since the study was limited to Jordan. We discussed the implications of our results for research and practice.

Improving construction performance through supply chain management

A typical model of construction supply chain (CSC) is presented firstly. Then the characteristics and problems of CSC are identified. The authors also describe the progress towards adoption of supply chain management (SCM) in the construction industry. Traditional construction management approaches (CMAs) are compared with new SCM-based CMAs. The authors suggest that integrated SCM based on cooperating competition is crucial to improve construction performance. Based on relevant results from related research, a framework for integrated construction supply chain management (CSCM) is developed to guide the effective implementation of SCM in construction.

Using fuzzy cognitive maps to model performance measurement system of Internet-based supply chain

Fuzzy cognitive maps (FCM) is a well-established artificial intelligence technique, which can be effectively applied in the domains of performance measurement, decision making and other management science. FCM can be a useful tool in a group decision-making environment by using scientifically integrated expert knowledge. The theories of FCM and balance scorecard (BSC) both emphasize cause-and-effect relationships among indicators in a complex system, but few reports have been published addressing the combined application of these two techniques. In this paper we propose a FCM simulation model for the sample performance measurement system of Internet-based supply chain, which is constructed by BSC theory. We gave examples to explain how FCM can be adapted to execute the causal mechanism of BSC, and also how FCM can support group decision-making and forecasting in performance measurement.

The impact of supply chain resilience on customer satisfaction and financial performance:A combination of contingency and configuration approaches

Supply chain resilience(SCR)refers to a supply chain's(SC's)ability to recover from disruptions timely and effectively.This study uses a combination of contingency and configuration approaches to examine the direct and contingent relationships between SCR dimensions(i.e.,internal,supplier,and customer resilience)and performance.It analyzes survey data collected from 206 Chinese manufacturers.The results show that the three SCR dimensions are positively related to customer satisfaction,whereas customer resilience has no direct contribution to financial performance.Internal resilience moderates the relationship between supplier resilience and performance(negative for customer satisfaction and positive for financial performance).A taxonomy for SCR was developed based on internal,supplier,and customer resilience,providing a holistic perspective for examining the performance discrepancies among four different SCR patterns:high externalleaning,high uniform,medium uniform,and low uniform.These findings offer insights for managers in building SCR from the crisis-management process.

Greening the Supply Chain: Drivers and Outcomes in the Korean Manufacturing Industry

This research investigates the determinants of green supply chain management(GSCM)adoption and its impact on organizational performance,while considering the potential moderating factors influencing GSCM adoption.Despite the growing prevalence of GSCM practices among Korean firms,the factors driving their adoption have not received sufficient attention.To bridge this gap,the study uses structural equation modeling,integrating stakeholder theory and resource-based theory to explore how green entrepreneurial orientation(GEO),institutional pressure,and relational capital affect GSCM adoption.Additionally,the study explores the effects of GSCM implementation on competi­tiveness and economic performance.Drawing data from a sample of 213 Korean manufacturing firms,the PLS-SEM analysis highlights the significant influence of GEO,institutional pressure,and relational capital on GSCM adoption.Additionally,the study emphasizes the positive impact of GSCM implementation on firm competitiveness.These find­ings provide valuable insights for enhancing sustainability in supply chain management and are applicable to similar context countries such as Taiwan,China,Japan,and the Netherlands.

Modeling and Analysis for Supply Chain Using Stochastic Process Algebra

In order to improve the influence of the uncertain and dynamic of node enterprise behavior on the performance of supply chain,the method based on stochastic process algebra for description,analysis,validation and evaluation of supply chain business process model is proposed.Firstly,the description of the uncertainty of node enterprise behavior is given using the extended Unified Modeling Language sequence diagram,and mapping rule is defined from the extended Unified Modeling Language sequence diagram to stochastic process algebra.Secondly,on the basis of the acquired stochastic process algebra model,the supply chain business process model is verified with Mobility Workbench.Finally,according to the operational semantics of stochastic process algebra,the continuous-time Markov chain,isomorphic with stochastic process algebra model,is built; and the system performance evaluation of transient status and stable status is respectively conducted in accordance with Markov transfer relations and the current state of system,obtaining the predicted performance value and average performance index value for a specific period of time.The simulation experiments show that the proposed method can accurately describe the stochastic behaviors of supply chain system and interactions among nodes,effectively verify the validity of the model,and objectively and exactly evaluate design of the supply chain.

Performance evaluation model of cross border e-commerce supply chain based on LMBP feedback neural network

In recent years,with the support of national policies,Cross Border E-Commerce(CBEC)has developed rapidly.This business model not only brings significant benefits to the national economy,but also has many unique challenges,especially at the level of supply chain management.Therefore,to enable CBEC enterprises to develop sustainable supply chain,this study discusses the performance evaluation model of supply chain and proposes a CBEC Supply Chain Performance Evaluation Model(CBECSC-EM)based on the Levenberg–Marquardt Backpropagation(LMBP)algorithm.This experiment constructs performance evaluation indicators for the supply chain of CBEC enterprises.On this basis,the LMBP algorithm is introduced,and improved in the experiment to make the overall performance of the evaluation model more scientific and reasonable.In the verification set,the maximum F1 values of LMBP,DEA,SBM,and BP are 98.46%,93.78%,87.29%,and 78.95%,respectively.The MAPE value of LMBP model is 0.102%,which is lower than the other three methods(0.282%,0.343%,and 0.385%)selected in the experiment.The maximum standard deviation rates of importance and operability of the evaluation indexes are 0.1346 and 0.1405,respectively,and there is a significant consistency between the expert scores.Therefore,the LMBP algorithm has broad application prospects in supply chain performance evaluation of CBEC enterprises.

数字化转型与企业国际化绩效研究——基于供应链能力的中介作用

本文借助Python爬虫技术刻画上市公司数字化转型强度,利用2012—2021年A股上市公司和国泰安数据库相关匹配数据,从理论和实证两个方面探讨数字化转型对企业国际化绩效的影响及其作用机理。研究结果表明,数字化转型对企业国际化绩效具有显著的促进作用且通过一系列内生性和稳健性检验,供应链能力在其中发挥了中介效应。进一步分析发现,数字化转型对企业国际化绩效的提升效果在非国有企业、技术和资本密集型行业、发达国家或地区更明显。这一结论对促进企业实现数字化转型、提升国际化绩效、增强国际竞争力具有重要的现实意义。