The Evolution of Barilla’s Durum Wheat Supply Chain Contracts for Triple Bottom Line Benefits

2016 ◽  
pp. 109-126 ◽  
Author(s):  
Marco Formentini ◽  
ManMohan S. Sodhi ◽  
Christopher S. Tang
Keyword(s):  
Supply Chain ◽  
Durum Wheat ◽  
Triple Bottom Line ◽  
Bottom Line ◽  
Supply Chain Contracts

scholarly journals Going Green Supply Chain Management During COVID-19, Assessing the Best Supplier Selection Criteria: A Triple Bottom Line (TBL) Approach

2022 ◽  
Vol 17 (1) ◽  
pp. 36-51
Author(s):  
Maryam Khokhar ◽  
◽  
Wasim Iqbal ◽  
Yumei Hou ◽  
Muhammad Irshad
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Firm Performance ◽  
Supplier Selection ◽  
Fuzzy Numbers ◽  
Current Model ◽  
Triple Bottom Line ◽  
Bottom Line ◽  
Chain Management ◽  
Sustainable Supplier Selection

In the past ten years, sustainable supply chain management (SSCM) attach great importance due to consumers, for-profit and profitless organizations, laws and regulations to the social and corporate responsibilities of consumers, so it has been recognized by practitioners and scholars. Supplier selection, environmental effect like a lockdown, and social cooperation and other SSCM programs can play an important part in realizing the triple bottom line (TBL) of economic, environmental, social assistances. In supply chain management (SCM), the sustainable supplier selection (SSS) and firm performance plays an important role. Traditionally, when evaluating SSS performance, organizations will consider a new framework to obtain the overall criteria/sub-criteria of the sustainability index by encapsulating sustainability. In this paper 12 sub-criteria for 3 pillars of sustainability as economic, environment and social performance is collected. Although there are many articles on SSS and evaluation, so far, research on sustainability issues is very limited. This study endeavours to propose a fuzzy multi-criteria approach to discuss SSCM planning, and studies the issue of determining a current model for SSS in the supply chain during COVID-19 based on the TBL method. For express the linguistic value of the subjective preference of experts we use triangular fuzzy numbers. By using fuzzy numbers to find standard weights for qualitative performance evaluation, then fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is proposed to find the ranking of SSS. However, COVID-19 has a negative role in SSS and in firm performance. The situation of lockdown due to COVID-19 has a negative effect on the performance of the organizations. An example is given of the proposed method.

scholarly journals Levers of Control for Supply Chain Sustainability: Control and Governance Mechanisms in a Cross-Boundary Setting

2020 ◽  
Vol 12 (8) ◽  
pp. 3189 ◽  
Author(s):  
Joost de Haan-Hoek ◽  
Wim Lambrechts ◽  
Janjaap Semeijn ◽  
Marjolein C. J. Caniëls
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Triple Bottom Line ◽  
Holistic Approach ◽  
Sustainable Supply Chain ◽  
Governance Mechanisms ◽  
Bottom Line ◽  
Chain Management ◽  
Interactive Control ◽  
Levers Of Control

The rise of global supply chains as well as attention to the Triple Bottom Line provides organizations with new conditions and strategy paradoxes to be dealt with when it comes to sustainability in supply chain management. This study of a large multinational organization with a strong Triple Bottom Line focus provides a comprehensive analysis of the use of control and governance mechanisms in supply chain context. Through the Levers of Control framework, the application of these mechanisms both internally and across organizational boundaries is shown. The interplay between levers helps in dealing with the in itself paradoxical nature of Triple Bottom Line goalsetting. The results show that the “softer” elements of the Triple Bottom Line, i.e., People and Planet, are approached with the lever associated with the beliefs system, which in turn enforces the boundary and interactive control systems. Ultimately, applying the Levers of Control in supply chain context might contribute to pursuing a holistic approach of sustainable supply chain management.

Managing the Triple Bottom-Line: Creating Sustainable Supply Chain Structures

2020 ◽  
Vol 2020 (1) ◽  
pp. 14999
Author(s):  
Ozlem Ayaz Arda ◽  
Frank Montabon ◽  
Ekrem Tatoglu ◽  
Erkan Bayraktar
Keyword(s):  
Supply Chain ◽  
Triple Bottom Line ◽  
Sustainable Supply Chain ◽  
Bottom Line

scholarly journals Unravelling Mickey Mouse: The Effect of Supply Chain Position and Organisational Slack on the Uneven Balance of Sustainability Dimensions

2021 ◽  
Vol 13 (24) ◽  
pp. 13623
Author(s):  
Sini Laari ◽  
Tomi Solakivi ◽  
Anu Bask ◽  
Juuso Töyli ◽  
Lauri Ojala
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Financial Reporting ◽  
Triple Bottom Line ◽  
Strategic Decision ◽  
Bottom Line ◽  
Economic Dimension ◽  
Mickey Mouse ◽  
Environmental Considerations ◽  
Nuanced Understanding

This paper contributes to a less-studied area on how a firm’s position in the supply chain influences triple-bottom-line considerations in strategic decision making. We also contribute to previous research on a nuanced understanding of unabsorbed organisational slack as an antecedent to the triple-bottom-line dimensions of sustainability. The research data comprises survey data and financial reporting data from 508 manufacturing and trading firms operating in Finland, divided among four supply chain tiers. The economic dimension dominates the decision making on all tiers, followed by social and environmental considerations, resembling the shape of Mickey Mouse. Unabsorbed organisational slack is negatively related to the importance of economic considerations and positively related to environmental considerations. The results help firms in evaluating their position in terms of sustainability and in their redesigning efforts accordingly. The findings will also be useful in terms of promoting sustainability practices among supply chain members and policymakers in their practical efforts towards sustainable development.

scholarly journals MODELING THE BARRIERS OF SOCIAL DIMENSION IN SUSTAINABLE SUPPLIER CHAIN MANAGEMENT

10.6036/10282 ◽  
2022 ◽  
Vol 97 (1) ◽  
pp. 12-12
Author(s):  
Jih-Kuang Chen Chen
Keyword(s):  
Supply Chain ◽  
Social Responsibility ◽  
Environmental Protection ◽  
Triple Bottom Line ◽  
Economic Benefits ◽  
Social Dimension ◽  
Bottom Line ◽  
Chain Management ◽  
Core Business ◽  
Supplier Chain

In the supply chain, a core business and its upstream and downstream companies systematically coordinate the Triple Bottom Line (TBL) to maximize economic benefits, social responsibility, and environmental protection from a strategic height.

scholarly journals A Stochastic Multi-Attribute Method for Measuring Sustainability Performance of a Supplier Based on a Triple Bottom Line Approach in a Dual Hesitant Fuzzy Linguistic Environment

2020 ◽  
Vol 17 (6) ◽  
pp. 2138 ◽  
Author(s):  
Guohua Qu ◽  
Rudan Xue ◽  
Tianjiao Li ◽  
Weihua Qu ◽  
Zeshui Xu
Keyword(s):  
Supply Chain ◽  
Environmental Pollution ◽  
Triple Bottom Line ◽  
Green Supply Chain ◽  
Regret Theory ◽  
Bottom Line ◽  
Satisfaction Degree ◽  
Group Satisfaction ◽  
Linguistic Term ◽  
Fuzzy Linguistic

China is a developing country and with the speeding up of its industrialization, the environmental problems are becoming more serious, environmental pollution is a major environmental health problem in China. In order to have a more effective management and control of the significant growth issues of environment pollution, green supply chain incentives have started, which is kind of market incentive aiming to moderate the adverse effects of environmental pollution. Proper green chain supply selection and evaluation of companies is becoming very essential in sustainable green supply chain management. Generally speaking, decision-makers (DMs) prefer to provide a set of feasible and quantitative information for making performance evaluation, which motivates us to propose a framework using dual hesitant fuzzy linguistic term set (DHFLTS) and hesitant fuzzy linguistic term set (HFLTS) to select green suppliers. In this paper, group satisfaction and the regret theory are adopted for elicitation of preference information. The DHFLTS and HFLTS provide qualitative preferences of the DMs as well as reflect their hesitancy, inconsistency, and vagueness. Further, two new group satisfaction degrees are defined called the group satisfaction of hesitant fuzzy linguistic term set and dual hesitant fuzzy linguistic term set. Some properties of group satisfaction with DHFLST and HFL are also discussed. Unknown attribute weights are obtained to construct a novel Lagrange function optimization model to maximize the group satisfaction degree, which is an extension of general group satisfaction degree. A novel methodological approach based on two group satisfaction degrees framework and regret theory is developed to rank and select green chain suppliers focusing on specific selection objectives. The proposed model and method of this paper allow the DM to execute different fuzzy scenarios by changing importance weights attached to the triple-bottom-line areas. In the final part, the advantage of the proposed group satisfaction degree under DHFL and HFL background over the existing group satisfaction degree using examples have been presented with different computational combinations.

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