Relationship between management practice and organisation performance under European Union directives such as RoHS: A case-study of the electrical and electronic industry in Taiwan

The aim of this study is to investigate the effects of the European Union Restriction of Hazardous Substances (RoHS) and Waste Electrical and Electronic Equipment (WEEE) directives set by the European Union on the financial and environmental performances of Taiwan’s electrical and electronic companies adopting the green supply chain management. A literature review, in-depth interviews and questionnaires were used as our hypothetical supports. One hundred and fifty-one certified International Organization for Standardization 14001 electrical and electronic companies were randomly selected as the study subjects. Data analyses and hypothesis tests were performed using Statistical Package for the Social Sciences software, and Structural Equation Modelling was used to analyse the pathway model and to test the hypothetical structure in this study. We found that these companies mostly adopted green manufacturing practices and green purchasing practices in order to meet the RoHS and WEEE directives. The results of pathway diagram analysis using structural equation modelling (SEM) also showed that the green supply chain management adopted by the study companies had a positive effect on both their financial (p < 0.01) and environmental (p < 0.01) performances, and therefore might be used as a reference for Original Equipment Manufacturing and Original Designing and Manufacturing industries in other Asian Pacific countries.Keywords: RoHS, WEEE, green supply chain management, financial performance, environmental performanc

Research on agricultural supply chain finance supporting sustainable poverty reduction under the background of digital technology

From the perspective of financial services, management services and coordination services, this paper analyzes the internal mechanism of agricultural supply chain finance (ASCF) to help sustainable poverty reduction (SPR). The internal and external driving forces of ASCF for SPR are also explored. Among them, the internal driving forces include industrial upgrading and financial transformation; External driving forces include technological change, policy guidance and market drive. Based on the background of digital technology, the green agricultural supply chain finance (GASCF) model has been innovatively proposed. We mainly analyze the core elements and platform structure of GASCF, and focus on the process design and key points of the three modules of the GASCF platform: risk control port, credit port and capital port. Finally, we analyze the practical difficulties of green agricultural supply chain finance in helping sustainable poverty reduction, such as the lack of comprehensive management ability of the organization, the insufficient application of digital technology, the imperfect institutional environment and the lack of compound talents. And we put forward accordingly a four in one path of GASCF helping SPR, which is Government standardizing and leading, assistance from financial institutions, driven by industry subjects and Co governance of Social Service

Role of technological dimensions of green supply chain management practices on firm performance

yesPurpose The research study aims to investigate green supply chain management (GSCM) elements as part of a complete system. It aims to understand the special properties of the GSCM system under the moderating effects of product complexity and purchasing structure. Design/methodology/approach A thorough literature review led to the building of the conceptual framework. Six constructs were identified using systems theory. These constructs include green supply chain technological dimensions (particularly, Artificial Intelligence (AI) based), green supply chain strategy, green supply chain process, product complexity, purchasing structure, and firm performance. The instrument was scientifically developed for gathering survey responses using complete design test methods. The conceptual model was eventually tested based on survey data collected from 250 automotive components and allied manufacturers in the emerging economy of South Africa. Findings The results indicate that GSCM technological dimensions (AI-based) positively influence GSCM strategy. Further, GSCM strategy was found to positively influence the GSCM process. The GSCM processes have significant effects on environmental performance, social performance, and financial performance. The product complexity has a significant moderation effect on the paths GSCM strategy and GSCM process. Originality/value The findings from multivariate data analysis provide a better understanding of GSCM system dynamics and are helpful to key decision-makers. This unique model has elevated GSCM theory to a new level. There are limited studies available in the existing GSCM literature using systems theory. This study will offer an advanced/comprehensive understanding to readers in this relatively new concept

Analyzing potential effects of implementing Green Supply Chain Management practices: A case study of the buyer-supplier relationship between Equinor ASA and Simon Møkster Shipping AS

Master's thesis Industrial Economics and Technology Management IND590 - University of Agder 2019Green supply chain management is receiving a growing attention from both academia and practitioners, as a response to environmental concerns and an increasing synonymous between business operation and supply chain management. This concept is highly relevant for industriesthat extensively impact the environment. Where operators in the Norwegian petroleum industry is becoming aware of the environmental impact in their supply chain, especially within themarine fleet.This thesis will therefore focus on a central practice to implement the concept: cooperationwith suppliers for environmental objectives. The objectiveis to analyze how contract management may positively influence thispractice, withanemphasize on the contracts. A literature review was initiated to develop an understanding of the research field and key aspects, and to iteratively construct the research model. The study was empirically driven, where a case study research was conducted based on the buyer-supplier relationship between Equinor and Simon Møkster Shipping. Empirical data was collected and analyzed from a total of seven participants, divided between the case companies.Findings indicatedthat the standard contracting option: time-charter, resultsin a conflict of interest, especially with the increasing focus on energy efficiency. The supplier’slack of reasoning for collaborative efforts, appears to derive from an inefficient allocation of benefits. Time-charter contracts was therefore analyzed based on the applicability for energy efficiency, where empirical findings directedthe attention towards the strategic fit of performance-based contracts. A conceptual change corroborates with this interest, where collaborative efforts for greening appears to be strengthen, as it potentially aligns their objectivesand ties performance to an incentive structure. Enablers and operational barriers were further investigated,where the complex supply chain of petroleum was discovered as one ofthe key aspects. Hence,it would be demanding tochallengethe standard and easily managed time-charter contracts, but at the same time increasingly important in an industry highly vulnerable to environmental concerns. The practicein focus is perceived as an antecedent for further implementation of green supply chain management and would therefore be part of a proactive response to a topical demand

Development of a mathematical model for 'Hayward' kiwifruit softening in the supply chain : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Food Technology at Massey University, New Zealand

Fruit loss is a major concern to the kiwifruit industry as it incurs a high cost to monitor and remove over soft or rotten fruit to meet export standards. Kiwifruit is exposed to various temperature scenarios due to different packhouse cooling practices, and temperature control is difficult to maintain throughout the supply chain. Fruit pallet temperatures are wirelessly monitored in the supply chain. This time temperature data provides valuable rich information which could be used to predict kiwifruit quality. In the laboratory, green ‘Hayward’ kiwifruit were exposed to industry coolchain scenarios to investigate their influence on fruit firmness in subsequent storage. Cooling rate and storage temperature were identified to affect fruit firmness and chilling injury development significantly, where accelerated softening and increased chilling injury development was observed in late storage (> 100 d) when fruit were cooled directly to 0 °C. However, when fast cooled fruit were stored at 2 °C instead of 0 °C, low incidence of chilling injury was observed. The influence of cooling rate and storage temperature on kiwifruit quality suggests that industry should focus on the management practices adopted by packhouses in order to maintain acceptable quality after long term storage. A proportion of the firmness data results were used to develop a mechanistic style mathematical model of kiwifruit softening. Kiwifruit softening was mathematically described based on the correlation with starch degradation, breakdown of cell wall structure, and a description of the incidence of chilling injury development during storage. The model inputs consist of solely commonly collected at-harvest attributes: firmness, dry matter and soluble solids content and time-temperature data. Applying at-harvest attributes as model inputs enabled a capability to predict different softening curves as influenced by fruit maturity, and grower line differences. The developed model demonstrated promising softening prediction with mean absolute errors (MAE) between 0.8 to 2.1 N when fruit were exposed to fluctuating temperatures and cooling profiles. A logistic model was used to estimate the proportion of chilling injured fruit. Based on the given time temperature information, the logistic model was able to predict the proportion of chilling injured fruit reasonably well (R2 = 0.735). This chilling injury prediction was subsequently used to adjust the softening prediction during the late storage period (>100 d). Model validation was performed using the remaining data, identifying a lack of fit in both the rapid (MAE of 20.8 N) and gradual (MAE of 8.0 N) softening phase. The lack of fit in the rapid softening phase is proposed to be explained by the presence of an initial lag phase in softening which the developed model is unable to predict. The magnitude of firmness associated with starch content and cell wall integrity heavily influenced the lack of fit in the gradual softening phase. Fixing the initial amount of firmness associated to cell wall integrity to be constant for all maturities and grower lines improved the softening prediction. Overall, this thesis contributes to the challenge of predictively modelling kiwifruit quality in the supply chain. However, there are still many opportunities for improvement including introducing the influence of: variation within the same batch; fruit maturity on chilling injury development; ethylene in the environment; pre-harvest management practices and extending the model to have more focus on high temperature conditions such as those experienced in the marketplace. Conducting studies on: the effect of curing on kiwifruit; using non-destructive techniques to provide information to help define model parameters for prediction; effect of high temperature exposure on kiwifruit softening are possible opportunities that may contribute to enable better prediction of kiwifruit quality in the supply chain in the future

A review of factors influencing collaborative relationships

[EN] Collaboration is a term commonly used to refer to a type of inter-organizational relationship. However, in real business assessments, many collaborative relationships fail due to the lack of understanding of the factors influencing collaboration sustainability. For this reason, enterprises, prior to engage to a collaborative relationship, need to understand further which the main factors influencing collaboration relationships are, how they are structured and how they interact so that decision makers that desire to engage in a collaborative relationship/network focus not only on improving performance indicators but also on the factors that influence the results of those performance indicators. The purpose of this paper is to present a critical literature review of factors influencing collaborative relationships in order to perform a comparative study of the works for identifying main strengths and gaps for future research.Verdecho Sáez, MJ.; Alfaro Saiz, JJ.; Rodríguez Rodríguez, R. (2011). A review of factors influencing collaborative relationships. IFIP Advances in Information and Communication Technology. 362:535-542. doi:10.1007/978-3-642-23330-2_58S535542362Camarinha-Matos, L.M., Afsarmanesh, H., Galeano, N., Molina, A.: Collaborative networked organizations - Concepts and practice in manufacturing enterprises. Computers & Industrial Engineering 57, 46–60 (2009)Simatupang, T.M., Wright, A.C., Sridharan, R.: Applying the theory of constraints to supply chain collaboration. Supply Chain Management: An International Journal 9(1), 57–70 (2004)Sabath, R.E., Fontanella, J.: The Unfulfilled Promise of Supply Chain Collaboration. Supply Chain Management Review (July/August 2002)Kampstra, R.P., Ashayeri, J., Gattorna, J.L.: Realities of supply chain collaboration. The International Journal of Logistics Management 17(3), 312–330 (2006)Supply Chain Management Review (SCMR) and Computer Sciences Corporation, CSC (2004);The second annual global survey of supply chain progress, www.csc.com/Busi, M., Bititci, U.S.: Collaborative performance management: present gaps and future research. International Journal of Productivity and Performance Management 55(1), 7–25 (2006)Lockamy, A., McCormack, K.: The development of a supply chain management process maturity model using the concepts of business process orientation. Supply Chain Management: An International Journal 9(4), 272–278 (2004)Lejeune, M.A., Yakova, N.: On characterizing the 4 C’s in supply chain management. 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Supply Chain as a Collaborative Virtual Network Based on LARG Strategy

The structure, organization and integration it is crucial to improve global supply chains performance and help them to achieve strategic and operational goals. Literature suggests that agile, resilient and sustainable supply chains strategies enable them to be more competitive in order to adapt to the dynamic and unstable scenario. This paper aims to present a model for implementing a strategy based on LARG paradigms (Lean philosophy, Agility, Resilience and sustainability-"Green"), used to denote the necessary strategy for competitiveness in an international automotive supply chain. Using "building theory approach”, supported by a case study, conducted in four companies that integrated automotive supply chains, three hypotheses were defined to be validated through an explanatory model and Key Performance Indicators (KPI’s) were defined to measure supply chain overall performance. This study brings contributes to management knowledge by empirically investigate the main effects of LARG strategy on supply chain performance, proposing a process approach applied to a collaborative virtual network structure, in order to improve network efficiency. Data analysis supports some interesting conclusions, as the more important KPI’s to measure LARG strategy, and the evolution from Supply chain to Supply Network

A social network-based organizational model for improving knowledge management in supply chains

Purpose: This paper aims to provide a social network-based model for improving knowledge management in multi-level supply chains formed by small and medium-sized enterprises (SMEs). Design/methodology/approach: This approach uses social network analysis techniques to propose and represent a knowledge network for supply chains. Also, an empirical experience from an exploratory case study in the construction sector is presented. Findings: This proposal improves the establishment of inter-organizational relationships into networks to exchange the knowledge among the companies along the supply chain and create specific knowledge by promoting confidence and motivation. Originality/value: This proposed model is useful for academics and practitioners in supply chain management to gain a better understanding of knowledge management processes, particularly for the supply chains formed by SMEs. © Emerald Group Publishing Limited.Capó-Vicedo, J.; Mula, J.; Capó I Vicedo, J. (2011). A social network-based organizational model for improving knowledge management in supply chains. Supply Chain Management: An International Journal. 16(5):379-388. doi:10.1108/13598541111155884S379388165Archer, N., Wang, S., & Kang, C. (2008). Barriers to the adoption of online supply chain solutions in small and medium enterprises. Supply Chain Management: An International Journal, 13(1), 73-82. doi:10.1108/13598540810850337Arend, R. J., & Wisner, J. D. (2005). Small business and supply chain management: is there a fit? Journal of Business Venturing, 20(3), 403-436. doi:10.1016/j.jbusvent.2003.11.003BERNARDES, E. S. (2010). THE EFFECT OF SUPPLY MANAGEMENT ON ASPECTS OF SOCIAL CAPITAL AND THE IMPACT ON PERFORMANCE: A SOCIAL NETWORK PERSPECTIVE. Journal of Supply Chain Management, 46(1), 45-55. doi:10.1111/j.1745-493x.2009.03185.xBORGATTI, S. P., & LI, X. (2009). ON SOCIAL NETWORK ANALYSIS IN A SUPPLY CHAIN CONTEXT. Journal of Supply Chain Management, 45(2), 5-22. doi:10.1111/j.1745-493x.2009.03166.xBorgatti, S. P., Mehra, A., Brass, D. J., & Labianca, G. (2009). Network Analysis in the Social Sciences. Science, 323(5916), 892-895. doi:10.1126/science.1165821Boschma, R. A., & ter Wal, A. L. J. (2007). Knowledge Networks and Innovative Performance in an Industrial District: The Case of a Footwear District in the South of Italy. Industry & Innovation, 14(2), 177-199. doi:10.1080/13662710701253441Cadilhon, J.J. and Fearne, A.P. (2005), “Lessons in collaboration: a case study from Vietnam”,Supply Chain Management Review, Vol. 9 No. 4, pp. 11‐12.Carter, C. R., Ellram, L. M., & Tate, W. (2007). THE USE OF SOCIAL NETWORK ANALYSIS IN LOGISTICS RESEARCH. Journal of Business Logistics, 28(1), 137-168. doi:10.1002/j.2158-1592.2007.tb00235.xChen, I. J., & Paulraj, A. (2004). Understanding supply chain management: critical research and a theoretical framework. International Journal of Production Research, 42(1), 131-163. doi:10.1080/00207540310001602865Cheng, J., Yeh, C., & Tu, C. (2008). Trust and knowledge sharing in green supply chains. Supply Chain Management: An International Journal, 13(4), 283-295. doi:10.1108/13598540810882170CHOI, T. Y., & WU, Z. (2009). TRIADS IN SUPPLY NETWORKS: THEORIZING BUYER-SUPPLIER-SUPPLIER RELATIONSHIPS. Journal of Supply Chain Management, 45(1), 8-25. doi:10.1111/j.1745-493x.2009.03151.xCrone, M., & Roper, S. (2001). Local Learning from Multinational Plants: Knowledge Transfers in the Supply Chain. Regional Studies, 35(6), 535-548. doi:10.1080/00343400120065705Egbu, C. O., Hari, S., & Renukappa, S. H. (2005). Knowledge management for sustainable competitiveness in small and medium surveying practices. Structural Survey, 23(1), 7-21. doi:10.1108/02630800510586871Fong, P. S. W., & Kwok, C. W. C. (2009). Organizational Culture and Knowledge Management Success at Project and Organizational Levels in Contracting Firms. Journal of Construction Engineering and Management, 135(12), 1348-1356. doi:10.1061/(asce)co.1943-7862.0000106Giannakis, M. (2008). Facilitating learning and knowledge transfer through supplier development. Supply Chain Management: An International Journal, 13(1), 62-72. doi:10.1108/13598540810850328Giuliani, E. (2007). The selective nature of knowledge networks in clusters: evidence from the wine industry. Journal of Economic Geography, 7(2), 139-168. doi:10.1093/jeg/lbl014Giuliani, E., & Bell, M. (2005). The micro-determinants of meso-level learning and innovation: evidence from a Chilean wine cluster. Research Policy, 34(1), 47-68. doi:10.1016/j.respol.2004.10.008Gunasekaran, A., Patel, C., & Tirtiroglu, E. (2001). Performance measures and metrics in a supply chain environment. 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(2001), “Absorptive capacity configurations in supply chains: gearing for partner‐enabled market knowledge creation”,MIS Quarterly, Vol. 29 No. 1, pp. 145‐87.Matopoulos, A., Vlachopoulou, M., Manthou, V., & Manos, B. (2007). A conceptual framework for supply chain collaboration: empirical evidence from the agri‐food industry. Supply Chain Management: An International Journal, 12(3), 177-186. doi:10.1108/13598540710742491Mentzas, G., Apostolou, D., Kafentzis, K., & Georgolios, P. (2006). Inter-organizational networks for knowledge sharing and trading. Information Technology and Management, 7(4), 259-276. doi:10.1007/s10799-006-0276-8Morrison, A. (2008). Gatekeepers of Knowledgewithin Industrial Districts: Who They Are, How They Interact. Regional Studies, 42(6), 817-835. doi:10.1080/00343400701654178Morrison, A., & Rabellotti, R. (2009). Knowledge and Information Networks in an Italian Wine Cluster. 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Assessing and Selecting Sustainable and Resilient Suppliers in Agri-Food Supply Chains Using Artificial Intelligence: A Short Review

[EN] The supplier evaluation and selection process is critical to increase the sustainability and resilience of the agri-food supply chain. Therefore, in this sector, it is necessary to consider sustainability and resilience criteria in the supplier evaluation and selection process. The use of arti¿cial intelligence techniques allows managing of a lot of information and the reduction of uncertainty for decision making. The objective of this article is to analyze articles that address the selection of suppliers in agrifood supply chains that pursue to increase their sustainability and resilience by using arti¿cial intelligence techniques to analyze the techniques and criteria used and draw conclusions.Authors of this publication acknowledge the contribution of the Project 691249, RUC-APS "Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems" (www.ruc-aps.eu), funded by the European Union under their funding scheme H2020-MSCA-RISE-2015.Zavala-Alcívar, A.; Verdecho Sáez, MJ.; Alfaro Saiz, JJ. (2020). Assessing and Selecting Sustainable and Resilient Suppliers in Agri-Food Supply Chains Using Artificial Intelligence: A Short Review. 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Designing a Model for Examining Impact of Government Intervention on the Competition between Green and Non-green Agency Supply Chains

Nowadays, due to the pollution that businesses and various industries impose to the environment, the adoption of strategies and policies by governments to improve the environmental performance of the supply chain has received more attention. The green supply chain will have many benefits, such as saving energy resources, reducing pollutants, and so on. Government intervention to develop these chains takes various forms, such as subsidies, taxes, licensing, and advertising. In this study, two manufacturers with green and non-green supply chains compete in a competitive market and sell their products through a joint retailer, and the government intervenes as a leader in the Stackelberg game. These chains are designed based on the selection of agent-based pricing and wholesale pricing methods in four different models. In these models, the government advertises for green products in the first and second models and imposes taxes on the producer of non-green products in the third and fourth models, seeking to maximize social welfare and improving the environment. In order to analyze and compare the models, the game theory approach was used. The results show that in general, government intervention improves the environmental situation and social welfare, and in the case of advertising has a better effect on the overall market trend and also on social welfare than the tax imposing strategy.IntroductionToday, with the rapid growth of industries worldwide, the environmental impact and ecological effects of products have become significant concerns. There is a growing awareness of the environmental consequences and associated risks to human health resulting from industrial activities. Consequently, research on green supply chain management has seen a significant increase. As public awareness about environmental issues continues to rise and concerns about the future of our planet intensify, customers are increasingly inclined to purchase environmentally friendly products. This shift in consumer behavior has prompted manufacturers and businesses to reassess their production processes and adapt to changing customer preferences and new government policies. The primary objective of this research is to investigate the role of government intervention in influencing the demand for green and non-green products through factor-oriented green and non-green supply chains. Additionally, the study aims to identify government policies that can facilitate the development and adoption of green products. The findings of this research can be utilized by governments to promote the use of environmentally friendly goods and enhance environmental protection efforts.Materials and methodsThe approach of this research involves modeling and analysis. The research considers multiple models, each consisting of two supply chains with two manufacturers and a common retailer. One manufacturer produces a green product (environmentally friendly), while the other produces a non-green product (not environmentally friendly). Throughout the research, all comparative models adhere to this structure, with the first supply chain focusing on the production of green products and the second supply chain delivering non-green products to customers. All the analyses conducted in this research are mathematically analyzed and utilize game theory to validate the model results and analyze them. Since the model results are mathematically proven, there is no need to collect real-world data. Instead, hypothetical data are used in the examples to illustrate the various aspects of the problem. In this research, all the models are designed based on the Stackelberg game, and the government takes the initiative in determining its objectives.ResultsIn order to compare the models and analyze the results, we first considered a fixed strategy (advertisement or taxation) for the government. This allowed us to investigate the effect of pricing type on profit, demand, and social welfare. We compared the first model with the second model and also compared the third and fourth models together. Furthermore, we compared the advertising strategy models with the taxation strategy models, examining each strategy within the supply chains. The results indicate that the second model generates the highest level of social welfare and benefits for society, while also resulting in the greatest profit for producers and retailers. Following that, the first model exhibits more social welfare compared to the third and fourth models. Additionally, the profit of the green product producer in the first model significantly surpasses that of the non-green product producer. This difference in profitability serves as an incentive for producers to transition to green product production. Although the profit disparity between producers in the third and fourth models is more substantial and encourages the greater promotion of green product production, it leads to lower satisfaction and well-being.ConclusionsThe results demonstrate the high sensitivity of producers' and retailers' profits to the pricing of their products. The product price is influenced by factors such as whether the supply chain is factor-oriented or wholesale, as well as the type of government intervention. When consumers make purchasing decisions, they consider not only the price but also other parameters, such as the environmental friendliness of the product. In other words, the choice of a product is determined by a set of conditions and is not solely dependent on price fluctuations. The pricing method, whether factor-oriented or wholesale, significantly impacts the profitability of supply chain members and has implications for social welfare and environmental improvement. Different types of government intervention, such as cultural initiatives or taxation, can also lead to changes in the result