Sustainability management beyond organizational boundaries–sustainable supplier relationship management in the chemical industry

Leppelt, Thomas; Foerstl, Kai; Reuter, Carsten; Hartmann, Evi

doi:10.1016/j.jclepro.2011.10.011

Cited by 94 publications

(77 citation statements)

References 45 publications

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“…The goal is to provide the appropriate information that can be used for effective and efficient decision-making on sustainability issues (Deloitte, 2013). The literature has highlighted the need by organizations to manage and collaborate closely with suppliers and customers on sustainability issues (Leppelt et al, 2013) to achieve better control of risks and organizational sustainability (Foerstl et al, 2010;Paulraj, 2011). To this end, SCA can gather and analyze sustainability-related data efficiently and effectively, thus supporting a variety of informational needs that include forecasting, analysis, and evaluation of economic, environmental, and social issues.…”

Section: Sustainable Scamentioning

confidence: 99%

Big data analytics in logistics and supply chain management: Certain investigations for research and applications

Wang

Gunasekaran

Ngai

et al. 2016

International Journal of Production Economics

1,076

750

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The amount of data produced and communicated over the Internet is significantly increasing, thereby creating challenges for the organizations that would like to reap the benefits from analyzing this massive influx of big data. This is because big data can provide unique insights into, inter alia, market trends, customer buying patterns, and maintenance cycles, as well as into ways of lowering costs and enabling more targeted business decisions. Realizing the importance of big data business analytics (BDBA), we review and classify the literature on the application of BDBA on logistics and supply chain management (LSCM) -that we define as supply chain analytics (SCA), based on the nature of analytics (descriptive, predictive, prescriptive) and the focus of the LSCM (strategy and operations). To assess the extent to which SCA is applied within LSCM, we propose a maturity framework of SCA, based on four capability levels, that is, functional, process-based, collaborative, agile SCA, and sustainable SCA. We highlight the role of SCA in LSCM and denote the use of methodologies and techniques to collect, disseminate, analyze, and use big data driven information. Furthermore, we stress the need for managers to understand BDBA and SCA as strategic assets that should be integrated across business activities to enable integrated enterprise business analytics. Finally, we outline the limitations of our study and future research directions.

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Section: Sustainable Scamentioning

confidence: 99%

Big data analytics in logistics and supply chain management: Certain investigations for research and applications

Wang

Gunasekaran

Ngai

et al. 2016

International Journal of Production Economics

1,076

750

View full text Add to dashboard Cite

show abstract

“…A large number of tools, indicators, and models have been designed and identified to assess an organisation's sustainable performance or the integration of sustainability in an organisation, based on different approaches and areas of knowledge. These approaches can be classified based on their objectives, performance [34,35], strategy [36,37], or management [9,17,32,[38][39][40][41]. They can also be classified depending on the tools proposed for quantification [42][43][44][45][46][47][48], communication [49][50][51][52], or integration [12,13] (Table 1).…”

Section: Sustainable Organisationsmentioning

confidence: 99%

Integrating Sustainability in Organisations: An Activity-Based Sustainability Model

Rodríguez-Olalla

Avilés-Palacios

2017

Sustainability

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Organisations have become interested in using integral management systems to increase their sustainable value. Although global integration models address sustainability in organisations, these models present shortcomings and limitations and do not describe how to achieve the integration of sustainability. This paper proposes an Activity-Based Sustainability (ABS) integration model that complements other models from an inside-out perspective. Its assessment follows a procedure similar to that proposed by the Activity-Based Costing (ABC) model of cost accounting. The model assigns impacts from activities in the value chain of a process to the objects of impact (products, services, clients, or markets) that must be managed in terms of sustainability. The main limitations of the ABS model are the need to identify and describe processes, to locate every activity that constitutes the value chain, and to quantify the impacts of these activities. The ABS model is presented as an alternative to link sustainable management accounting and sustainable communication, as well as sustainable management control and sustainability assessment. It connects these sustainable elements through the bilateral identification of the linkages among skills, processes, and practices. It also links these aspects with the contribution to sustainable development and the development of competitive advantages.

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“…Two formal models on environmental criteria in supply networks (Nagurney and Toyasaki 2003) and for supplier assessment (Handfield et al 2002) complement those papers that have triggered subsequent research activities, particularly after 2008. Apart from this, recent papers with a high number of references to other sample papers, i.e., a high LCR score, comprise three conceptual papers (Seuring and Müller 2008b;Miemczyk et al 2012;Beske and Seuring 2014) and three case studies (Foerstl et al 2014;Govindan et al 2014a;Leppelt et al 2013a). Correlation analysis of the citation indices shows a significant positive relationship between LCS and the global citation score (GCS), i.e., the articles that are most cited by other sample papers are comparably often cited by other publications not being part of the selected sample listed on Web of Science.…”

Section: Bibliometric Analysismentioning

confidence: 99%

Stakeholder influences and risks in sustainable supply chain management: a comparison of qualitative and quantitative studies

Rebs

Brandenburg

Seuring

et al. 2017

Bus Res

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Stakeholder influences on sustainable supply chain management (SSCM) are of increasing interest for researchers to take into account economic, environmental, and social risks. While extant literature on stakeholder influences or risks in SSCM concentrates on selected issues, a comprehensive review of both stakeholder and risk constructs is missing. Hence, this paper examines stakeholder influences and risks in SSCM, as addressed by conceptual frameworks, empirical studies, and formal models to shed light on the trends and gaps in qualitative and quantitative SSCM research. Based on a content analysis of systematically selected journal publications, the commonalities and differences between the research designs are identified. The findings suggest that the integration of economic risks prevails over the consideration of environmental and social risks. Qualitative studies frequently focus on customers or multiple stakeholders that trigger SSCM and relate to supply, demand, and particularly reputational risks. In contrast, quantitative models rather concentrate on formalizing governmental triggers and operational risks. Thus, mutual stimuli between conceptual, empirical, and model-based SSCM research and their implications for future research directions are derived.

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Sustainability management beyond organizational boundaries–sustainable supplier relationship management in the chemical industry

Cited by 94 publications

References 45 publications

Big data analytics in logistics and supply chain management: Certain investigations for research and applications

Big data analytics in logistics and supply chain management: Certain investigations for research and applications

Integrating Sustainability in Organisations: An Activity-Based Sustainability Model

Stakeholder influences and risks in sustainable supply chain management: a comparison of qualitative and quantitative studies

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