Development and Simulation of a Balanced Scorecard for Sustainable Supply Chain Management – A System Dynamics Approach

The objective of this article is to develop a Balanced Scorecard (BSC) for Sustainable Supply Chain Management (SSCM). The BSC provides a framework for simulation experiments which serve to evaluate benefits of sustainability investments for the partners within a recycling supply chain. A system dynamics approach was employed to perform the simulation experiments. First, the simulations help to identify the preconditions that must be met before environmental and social measures can lead to a long-term profit increase for all network partners. Second, they demonstrate how limitations of the traditional BSC can be overcome, especially regarding multi-causal relationships between key performance indicators. The model is based on the results of a literature review and information gathered in expert interviews. The limits of the analysis lie in the fact that the simulation experiments are partly based on hypothetical assumptions. However, where possible, the authors have drawn on expert knowledge and existing surveys

Performance measurement : challenges for tomorrow

This paper demonstrates that the context within which performance measurement is used is changing. The key questions posed are: Is performance measurement ready for the emerging context? What are the gaps in our knowledge? and Which lines of enquiry do we need to pursue? A literature synthesis conducted by a team of multidisciplinary researchers charts the evolution of the performance-measurement literature and identifies that the literature largely follows the emerging business and global trends. The ensuing discussion introduces the currently emerging and predicted future trends and explores how current knowledge on performance measurement may deal with the emerging context. This results in identification of specific challenges for performance measurement within a holistic systems-based framework. The principle limitation of the paper is that it covers a broad literature base without in-depth analysis of a particular aspect of performance measurement. However, this weakness is also the strength of the paper. What is perhaps most significant is that there is a need for rethinking how we research the field of performance measurement by taking a holistic systems-based approach, recognizing the integrated and concurrent nature of challenges that the practitioners, and consequently the field, face

Lean and green – a systematic review of the state of the art literature

The move towards greener operations and products has forced companies to seek alternatives to balance efficiency gains and environmental friendliness in their operations and products. The exploration of the sequential or simultaneous deployment of lean and green initiatives is the results of this balancing action. However, the lean-green topic is relatively new, and it lacks of a clear and structured research definition. Thus, this paper’s main contribution is the offering of a systematic review of the existing literature on lean and green, aimed at providing guidance on the topic, uncovering gaps and inconsistencies in the literature, and finding new paths for research. The paper identifies and structures, through a concept map, six main research streams that comprise both conceptual and empirical research conducted within the context of various organisational functions and industrial sectors. Important issues for future research are then suggested in the form of research questions. The paper’s aim is to also contribute by stimulating scholars to further study this area in depth, which will lead to a better understanding of the compatibility and impact on organisational performance of lean and green initiatives. It also holds important implications for industrialists, who can develop a deeper and richer knowledge on lean and green to help them formulate more effective strategies for their deployment

Investigating the factors affecting information systems evaluation within sustainable environments

Copyright @ 2013 EMCIS.Currently, organizations and stakeholders are more concerned with environmental issues, thus the role of information systems (IS) and information technologies (IT) within organizations towards ecological being sustainability has changed. Environmental or Green initiatives is realized as having credibly to assist in shifting to a sustainable society. Furthermore, the elements within IS/IT evaluation including costs, benefits and risks within organizations associated with IS evaluation and sustainability are taken into account in terms of the challenges concerning green practices (Green IS/IT) leading the organizations to attempt to diminish the impact of their IS/IT operations towards the environments socially and ethically, which indirectly assist them in achieving competitive advantages competitors through adopting and implementing environmental sustainability practices. In addition, government sectors are taking a step closer in order to create awareness and incorporate green into all components of the business functions. Practitioners and scholars are motivating to use the existing frameworks and models to evaluate IS/IT initiatives with sustainability taken into perspectives. Consequently, the purpose of this paper is to critically review the normative literature associated with IS evaluation within sustainable environments and to develop a conceptual framework or model for IS evaluation within sustainable organizations that measures the impact of environmental sustainability factors and highlight a number of research gaps that need to be addressed in future research

Combination of SCOR-BSC and Regression Linear Programming to Assess the Performance of Construction SMEs in DIY and Central Java

Several metrics in the supply chain performance assessment system cannot be uncovered by merely putting a strategy into action. Meanwhile, the balanced scorecard strategy necessitates the incorporation of numerous measures derived from the implementation of strategies, ultimately guiding the business toward its long-term orientation. The same is true for evaluating the effectiveness of a supply chain. The Business Service Chain (BSC) takes three viewpoints of the Supply Chain Operations Reference (SCOR) and expands them into four: financial, customer, internal business, and innovation and learning. Both the SCOR and BSC methods can be utilized to implement a sustainable supply chain management system. These two methods were employed to solve supply chain issues in the construction industry. BSC aimed to compensate for SCOR’s limited focus on performance by considering two angles—those of internal business operations and customers. When compared to SCOR, BSC’s uniformity in the supply chain allowed for more adaptable metrics when resizing; more applicable models, encompassing all processes; and easier performance monitoring; all through the utilization of various metrics

Combination of SCOR-BSC and Regression Linear Programming to Assess the Performance of Construction SMEs in DIY and Central Java

Several metrics in the supply chain performance assessment system cannot be uncovered by merely putting a strategy into action. Meanwhile, the balanced scorecard strategy necessitates the incorporation of numerous measures derived from the implementation of strategies, ultimately guiding the business toward its long-term orientation. The same is true for evaluating the effectiveness of a supply chain. The Business Service Chain (BSC) takes three viewpoints of the Supply Chain Operations Reference (SCOR) and expands them into four: financial, customer, internal business, and innovation and learning. Both the SCOR and BSC methods can be utilized to implement a sustainable supply chain management system. These two methods were employed to solve supply chain issues in the construction industry. BSC aimed to compensate for SCOR’s limited focus on performance by considering two angles—those of internal business operations and customers. When compared to SCOR, BSC’s uniformity in the supply chain allowed for more adaptable metrics when resizing; more applicable models, encompassing all processes; and easier performance monitoring; all through the utilization of various metrics

Measuring agri-food supply chain performance and risk through a new analytical framework: a case study of New Zealand dairy

Many researchers and practitioners have long recognized the significance of measuring performance. Although general guidelines for measuring business performance are widely available, no appropriate measurement frameworks have been developed for measuring agri-food supply chain performance. Particularly, food quality and risk-related indicators have not been well integrated into existing performance measurement systems. Our research, therefore, addresses this knowledge gap by first providing an in-depth review of extant performance measurement systems and frameworks. It then develops an analytical framework by extending the Supply Chain Operations Reference (SCOR) model which has been extensively implemented across non-food industries. The analytical framework is further validated by utilizing a case study of 50 farmers and 10 dairy companies, operating in the New Zealand dairy industry. Our pilot testing and subsequent findings show that the individual metrics interlocked with the analytical framework are in-line with the key industrial practices adapted by the New Zealand dairy industry. In addition, the framework is flexible and scalable to evaluate and benchmark other agri-food supply chains–ranging from fresh products such as fruits and vegetables to processed foods such as canned fruits. The findings further show that the detailed information required for measuring the level-3 SCOR metrics is not easily available in the industry, as researchers need to access specific company records that may be confidential. Consequently, this study provides how agri-food supply chain managers can employ our new analytical framework in-conjunction with the SCOR model for a deeper understanding of the complicated performance measurement indicators applied in their agri-food production systems and relevant supply chains