Risk management in sustainable supply chain: a knowledge map towards intellectual structure, logic diagram, and conceptual model

Wang, Liang; Cheng, Yi‐Ming; Wang, Zeyu

doi:10.1007/s11356-022-22255-x

Cited by 19 publications

(10 citation statements)

References 140 publications

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“…Internal and external integration of supply chains can lead to stronger SC resilience (Tarigan et al, 2021). Given such benefits, SC integration with strong upstream and downstream interaction is becoming a popular trend (Wang et al, 2022). SC integration is also important in reverse distribution to ensure forward and reverse supply chains operate well together.…”

Section: Integration In Clscsmentioning

confidence: 99%

“…Companies engage in such practices to exploit their green image and because they see the potential for greater performance, which makes it an inevitable choice in sustainability (Zhu & Yu, 2019). Brand image is also affected by other factors detrimentally, making it necessary to avoid those practices that could damage brand image, such as damage to a company's reputation (Wang et al, 2022).…”

Section: Brand Imagementioning

confidence: 99%

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Closed-Loop Supply Chain Integration: Assessing Marketing Impacts and Customer Perceptions of Sustainable Brand Value in the Saudi Photovoltaic Industry

Soliman,

Bahareth

2023

J. Professional Business Review

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Purpose: This investigation addresses the influence of closed-loop supply chain integration (CLSCI) on consumer perception of sustainable brand value, examining its effect on purchasing decisions, brand loyalty, and image. Theoretical framework: The study operates within a framework that posits CLSCI as a potential enhancer of sustainable brand value, mediated by demographic variables and consumer consciousness of sustainability practices. Design/methodology/approach: A cross-sectional analysis was performed with 240 Saudi participants using Multivariate Analysis of Variance (MANOVA) to assess the hypotheses derived from the theoretical framework. Findings: Results indicate a direct correlation between CLSCI and brand image, strengthened by consumer awareness. Moreover, age and awareness significantly mediate the relationship between CLSCI and perceived brand value and purchasing decisions. Research, Practical & Social implications: Findings underscore the necessity for Saudi photovoltaic (PV) firms to elevate CLSCI awareness and its linkage to brand image. The study also prompts further examination of age-related influences and sustainable waste management practices. Originality/value: his study contributes to the limited research on CLSCI's role within the Saudi PV sector, providing empirical evidence and a conceptual model for CLSCI implementation, offering insights for enhanced consumer engagement and sustainable brand development.

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Section: Integration In Clscsmentioning

confidence: 99%

Section: Brand Imagementioning

confidence: 99%

Closed-Loop Supply Chain Integration: Assessing Marketing Impacts and Customer Perceptions of Sustainable Brand Value in the Saudi Photovoltaic Industry

Soliman,

Bahareth

2023

J. Professional Business Review

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“…In 2021, wine exports from all nations reached a global total of $40.7 billion. Since 2017, when wine shipments were valued at $35.4 billion, that amount in dollars represents an average 15% growth for all exporting countries 1 . Export sales of wines increased by 19.8% from $34.3 billion in 2020 annually.…”

Section: Introductionmentioning

confidence: 99%

Machine learning-based predictive modelling for the enhancement of wine quality

Jain,

Kaushik,

Gupta

et al. 2023

Sci Rep

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The certification of wine quality is essential to the wine industry. The main goal of this work is to develop a machine learning model to forecast wine quality using the dataset. We utilised samples from the red wine dataset (RWD) with eleven distinct physiochemical properties. With the initial RWD, five machine learning (ML) models were trained and put to the test. The most accurate algorithms are Random Forest (RF) and Extreme Gradient Boosting (XGBoost). Using these two ML approaches, the top three features from a total of eleven features are chosen, and ML analysis is performed on the remaining features. Several graphs are employed to demonstrate the feature importance based on the XGBoost model and RF. Wine quality was predicted using relevant characteristics, often referred to as fundamental elements, that were shown to be essential during the feature selection procedure. When trained and tested without feature selection, with feature selection (RF), and with key attributes, the XGBoost classifier displayed 100% accuracy. In the presence of essential variables, the RF classifier performed better. Finally, to assess the precision of their predictions, the authors trained an RF classifier, validated it, and changed its hyperparameters. To address collinearity and decrease the quantity of predictors without sacrificing model accuracy, we have also used cluster analysis.

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“…In addition, there is a lack of studies focusing on the phenomenon that causes unnecessary fear among employees. Lack of knowledge and understanding about the real function of risk management is a cause of chaos (Patwary et al 2022a;Rodrigues et al 2020;Sharif et al 2022;Wang et al 2022;Wu et al 2022). This phenomenology-based study aims to determine how the company's risk management system is deemed an effective and valuable strategy for managing the company's operational risk.…”

Section: Introductionmentioning

confidence: 99%

Sustainable risk management practice in the organization: a Malaysian case study

Zainuddin

Abdullah

Nasir

et al. 2022

Environ Sci Pollut Res

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Businesses are becoming more conscious of operational risk management practices due to the COVID-19 pandemic. However, some firms practice risk management without fully comprehending how it might help them and their needs. As a result, companies that practice risk management without realizing it are being controlled by the discipline itself. The goal of this study is to look into the epistemic process of risk management practice in the workplace. This phenomenological study interviewed 39 risk management officers, executives, and employees. Data are thematically analyzed. This study discovered five epistemic processes of risk mapping using Foucault's governmentality paradigm. This phenomenological study, interestingly, revealed the black box of risk management practices, as well as the behavior of risk management officers, executives, and risk owners who preferred to monitor the compliance aspects of risk management practices rather than comprehend the capabilities of risk management that could be used within their strategic planning process. Unaware of this black box, organizational actors were blanketed by the organization's culture of fear, which created the impression that the authority was always watching every word said and every action taken. Practically, this study contributes an improved understanding of the real function of risk management that helps them justify the practice and reduce unnecessary fear. The paper concludes with limitations and research recommendations.

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Risk management in sustainable supply chain: a knowledge map towards intellectual structure, logic diagram, and conceptual model

Cited by 19 publications

References 140 publications

Closed-Loop Supply Chain Integration: Assessing Marketing Impacts and Customer Perceptions of Sustainable Brand Value in the Saudi Photovoltaic Industry

Closed-Loop Supply Chain Integration: Assessing Marketing Impacts and Customer Perceptions of Sustainable Brand Value in the Saudi Photovoltaic Industry

Machine learning-based predictive modelling for the enhancement of wine quality

Sustainable risk management practice in the organization: a Malaysian case study

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