Relevant bibliographies by topics / Supply chain drivers

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Supply chain drivers'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "Supply chain drivers"

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Rana, S. M. Sohel, and Abduallh Bin Osman. "Impact of Supply Chain Drivers on Retail Supply Chain Performance." Journal of Social Sciences Research 4, no. 10 (October 10, 2018): 176–83. http://dx.doi.org/10.32861/journal.7.2018.410.176.183.

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Rana, S. M. Sohel. "Supply chain drivers and retail supply chain responsiveness: strategy as moderator." International Journal of Management Practice 13, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijmp.2020.10025714.

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Rana, S. M. Sohel. "Supply chain drivers and retail supply chain responsiveness: strategy as moderator." International Journal of Management Practice 13, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijmp.2020.104066.

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Tay, Mee Yean, Azmawani Abd Rahman, Yuhanis Abdul Aziz, and Shafie Sidek. "A Review on Drivers and Barriers towards Sustainable Supply Chain Practices." International Journal of Social Science and Humanity 5, no. 10 (2015): 892–97. http://dx.doi.org/10.7763/ijssh.2015.v5.575.

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Saeed, Muhammad, and Wolfgang Kersten. "Drivers of Sustainable Supply Chain Management: Identification and Classification." Sustainability 11, no. 4 (February 21, 2019): 1137. http://dx.doi.org/10.3390/su11041137.

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With the increase in awareness of environmental and social issues associated with the development and the use of products, stakeholders—especially consumers—are showing more concern regarding these issues. To address new developments and changing trends, organizations are now compelled to identify and implement innovative and sustainable solutions, not only within their organizations’ boundaries, but also across the whole supply chain network. The primary goal of this paper was to identify and analyze drivers of sustainable supply chain management (SSCM) that influence or encourage organizations to undertake sustainability initiatives and implement sustainable solutions throughout their supply chains. For this purpose, a systematic literature review was conducted and 1559 drivers of SSCM were identified from 217 journal articles. Precise interpretation, clear definitions, restructuring, and classification into external and internal driver categories produced a list of 40 unique drivers of SSCM. The results revealed that regulatory and market pressures, with reference to the number of citations, are the most prevailing drivers of SSCM for the implementation of sustainability practices. Classification of the drivers of SSCM into primary and secondary driver categories may assist practitioners and decision makers in prioritizing sustainability-related initiatives and adopting sustainability practices across the whole supply chain network.
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Murali, R., S. Anand, and R. Ganesh Kumar. "Effect of internal supply chain drivers on green supply chain management attributes." International Journal of Business Performance and Supply Chain Modelling 10, no. 4 (2019): 323. http://dx.doi.org/10.1504/ijbpscm.2019.10027442.

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Kumar, R. Ganesh, R. Murali, and S. Anand. "Effect of internal supply chain drivers on green supply chain management attributes." International Journal of Business Performance and Supply Chain Modelling 10, no. 4 (2019): 323. http://dx.doi.org/10.1504/ijbpscm.2019.105702.

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Rauth Bhardwaj, Broto. "Sustainable supply chain management through enterprise resource planning (ERP): a model of sustainable computing." International Journal of Management Science and Business Administration 1, no. 2 (2015): 20–32. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.12.1002.

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Green supply chain management (GSCM) is a driver of sustainable strategy. This topic is becoming increasingly important for both academia and industry. With the increasing demand for reducing carbon foot prints, there is a need to study the drivers of sustainable development. There is also need for developing the sustainability model. Using resource based theory (RBT) the present model for sustainable strategy has been developed. On the basis of data collected, the key drivers of sustainability were developed. We used regression and correlation analysis for developing the final model. The study findings suggest that the drivers of GSCM are the environmental policy and the green human resource management (GHRM). This can be done by providing training for adopting sustainability practices. Besides this, another key driver is the sustainability criteria in supplier selection which was found to be enhancing the outcomes of sustainability. The model has practical and theoretical value as it proposes that management support for implementing the sustainability strategy in the organization is essential. The study also guides the managers for implementing sustainable supply chain management practices in the organization.
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Venkatesa Narayanan, Padmalalitha Thennal. "Environmental Drivers on Green Supply Chain Practices." International Research Journal of Business Studies 13, no. 3 (December 20, 2020): 269–83. http://dx.doi.org/10.21632/irjbs.13.3.269-283.

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Environmental concern is one of the linchpins of business anxieties since post-industrial era in India. In the current scenario where the corporates in India are committing to green supply chain practices, this paper attempts to understand the key environmental drivers that impact green supply chain practices. Thus, the focus of this research paper is to recognize the direct and indirect effects of environmental drivers on the green supply chain practices. Quantitative data regarding corporate environmental drivers and green supply chain practices were collected from 12 manufacturing companies in India. Path analysis was performed through structural equation modeling technique to identify the significant environmental drivers. Further, the direct and indirect effects of the environmental drivers were determined by decomposing the structural equations. The results obtained demonstrated that regulatory pressure, customer pressure, socio-cultural pressure and competitor pressure affect green supply chain practices at varying levels of significance at different stages of the supply chain process. The result of this study invites necessary attention of the managers to undertake an analysis of the effect of potential environmental drivers on the functioning of green supply chain practices in their firms.
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Jasmi, Muhamad Fairuz Ahmad, and Yudi Fernando. "Drivers of maritime green supply chain management." Sustainable Cities and Society 43 (November 2018): 366–83. http://dx.doi.org/10.1016/j.scs.2018.09.001.

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Dissertations / Theses on the topic "Supply chain drivers"

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Kim, Joon-Hyeong. "Drivers of sustainable performances across the flight catering supply chain : from the corporate and supply chain level." Thesis, University of Surrey, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654744.

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Building upon the exploratory study, this study conducted the main study in order to evaluate the drivers of corporate and supply chain level sustainable performances across the flight catering supply chain, by integrating eight drivers on the basis of corporate legitimacy theories and theoretical foundations underpinning SCM. The main study was conducted by adopting a semi-structured in-depth interview technique. 23 respondents from the companies (i.e. airlines, caterers, logistics companies and suppliers) producing 22 interviews were recruited through a snowball sampling. Then, the main study was analysed with the aid of NVivo. This research has identified corporate environmentally sustainable performances including reducing emissions, conserving natural resources, waste reduction & recycling and packaging. On the other hand, corporate socially sustainable perfom1ances have consisted of: people within the company and people outside the company. It has been found that 'partial influencers', 'external drivers' and 'firm led drivers' lead to corporate sustainable performances with some impacts associated with cost. Whilst firm led drivers have been the main driver, geography has placed some moderating impacts between some of the drivers and sustainable performances. In addition, supply chain level environmentally sustainable performances were concerned with greening the supply chain and product based green supply, whereas spreading socially responsible standards included implementing responsible practices, with human rights issues receiving attention to a lesser extent. The drivers of supply chain level sustainable performances were concerned with: 'supply chain dynamics', 'external factors' and 'cost'. Importantly, cost has been identified not only as a driver but also as a hindrance to both corporate and supply chain level sustainable performances. Building upon empirical findings, this research has made major contributions to understanding the drivers of sustainable performances in three ways: at the corporate and the supply chain level, and effect of cost along the supply chain.
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HERMANSSON, AXEL, and MÖLLER PETER SYLVÉN. "Digitalization of Supply Chains : A case study of value adds by digitalizing the supply chain." Thesis, KTH, Industriell Management, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189757.

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Technology has been developing over the last decades and the phenomenon of digitalization is becoming a reality for all industries. For supply chain managers, it is becoming a necessity to use the new technology to create interoperable systems that can increase responsiveness, transparency and cost efficiency of their supply chains, in order to meet the more demanding customer expectations and business environments. Changing business environments force companies to enter new markets where margins might be lower, which requires more cost efficient supply chains. Company X, the commissioning company for this research is an example of a company struggling with this. They are starting to develop Information and Communication Technology (ICT) products, which have lower margins than previous products. Company X, who is about to start the journey of digitalizing their supply chains, would therefore benefit from knowing what value adds that digitalization can bring. There is currently a gap within the field of supply chain management regarding evaluation of digitalization projects. Therefore, this study investigates the main drivers, factors that enable changes and affect value adds, of digitalization of supply chains, the changes these drivers result in and the value adds of these. The study also contributes with a framework for future evaluation of digitalization projects.The study was conducted with case studies at three companies, which are all comparable to Company X in both size and business. The investigated companies are all global producers of ICT-products who have conducted a digitalization of their supply chains.The main finding of this study is that the overall driver for digitalization according to the case companies is Standardization and Simplification, and all case companies state that this is the main goal for digitalizing the supply chain. Furthermore, automatization from tender to invoice is one of the major changes that standardization and simplification of the Supply Chain Information Technology (SCIT) enables. This improves the information flow between all silos within the supply chain and also helps increase order reliability, responsiveness and scalability as well as improve integration and collaboration with partners and suppliers, and it increases the overall process and cost efficiency. This all helps to increase the customer experience and satisfaction, which is stated as the major value add from digitalization of the supply chain according to the case companies.
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Gravier, Michael J. Farris Martin T. "Supply chain network evolution demand-based drivers of interfirm governance evolution /." [Denton, Tex.] : University of North Texas, 2007. http://digital.library.unt.edu/permalink/meta-dc-3972.

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Lin, Canchu. "Exploring Big Data Capability: Drivers and Impact on Supply Chain Performance." University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1460732261.

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Gravier, Michael J. "Supply Chain Network Evolution: Demand-based Drivers of Interfirm Governance Evolution." Thesis, University of North Texas, 2007. https://digital.library.unt.edu/ark:/67531/metadc3972/.

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Which form of exchange governance performs better in a dynamic environment? This remains an unanswered question in the transaction cost analysis (TCA) and relational exchange literatures. Some researchers purport that transactional governance provides superior performance by providing firms the flexibility to change suppliers. Others suggest that relational governance leads to superior performance because of the willingness of both parties to adapt. Reviews of TCA have turned up ambivalent empirical findings with regard to the effects of uncertainty despite a track record of strong empirical support for other predictions. Because most of TCA and relational exchange theories' predictions enjoy strong support, this research builds upon these theories to propose a theoretical modeling framework for a dynamic environment in a supply chain network (SCN) setting. This dissertation extends TCA and relational exchange to a dynamic, network environment. It uses the approach of building a simulation in order to study in detail the relationship between key exchange factors and the selection of transactional and relational exchange governance over time. This research effort extended TCA theory with a complex adaptive model of supply chain network governance evolution that attempts to link environmental, network, production, firm and exchange factors in a continuously evolving loop. The proposed framework expands transaction cost analysis' explanatory power. Results partially support past scholarly proposal that uncertainty functions as an antecedent of asset specificity rather than as an independent construct affecting governance outcome dependent upon which form of uncertainty is being considered. The successful simulation of supply chain networks as complex adaptive systems shift the focus from deterministic, confirmatory models of exchange to an exploratory, positive model. Instead of exchange governance as an outcome, it is the catalyst of the evolutionary process.
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Wu, Gang Mechanical &amp Manufacturing Engineering Faculty of Engineering UNSW. "The impact of inter-company network technology on correlations between supply chain drivers and performance measures." Publisher:University of New South Wales. Mechanical & Manufacturing Engineering, 2009. http://handle.unsw.edu.au/1959.4/43645.

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This research aims to examine how, and to what extent, the advanced network technology such as custom-built large-scale network, or internet-based technology contribute to the correlations between supply chain drivers and performance measures. The uniqueness of the research is to use network technology as a leverage factor, instead of merely one of the supply chain drivers, to analyse how it would impact on the correlations between supply chain drivers and performance measures. Through literature review, we identified the key drivers in supply chain and the key performance indicators as independent and dependent variables respectively for data analysis in the research. We consider the utilisation of network technology as a selection variable in the analysis. We also proposed a set of research questions and hypotheses resulting from the literature review. The subsequent data analyses attempted to find answers for these questions and test the validity of the hypotheses. This was achieved by a field survey for 1035 major Australian firms through a structured questionnaire. The response rate of the survey was 20.8%. All these data were analysed with statistical models such as reliability test, multi-collinearity test, MANOVA procedures, factor analysis, and multiple regression modelling to validate whether the survey was robust and how the leverage factor (network technology) would impact on the correlations between supply chain drivers and performance measures. Each research question and hypothesis was reviewed, validated, and concluded based on the results from data analysis. The key findings from the data analysis support the perception that the network technologies with their external customers and suppliers dramatically affect the correlations between supply chain drivers and performance measures. Statistically it actually determines whether the supply chain will success or fail when comparing firms using the technologies with firms not using them. In general, the impact on the correlations is directional and positive. A set of validated theoretical models was also proposed to depict the dynamics between supply chain variables under the influence of network technology. Implications of the findings are also provided in the thesis.
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De, Naray Margo (Margo Taylor). "Fulfillment supply chain strategy evaluation : understanding cost drivers through comprehensive logistics modeling." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59155.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Global Operations Program at MIT, 2010.
"June 2010." Cataloged from PDF version of thesis.
Includes bibliographical references (p. 58).
The fulfillment supply chain consists of all activities associated with packing, storing, and transporting a product from the manufacturer to the customer. In the global environment, it is a challenge to accurately measure the impact of a given strategy on logistics costs quickly and efficiently. While much focus has been given to supply chain strategy as a whole, less has been applied to specific implications of packaging fulfillment decisions. The goal of this research is to analyze the cost impact on the global fulfillment supply chain for given packaging strategies. Through the development of a comprehensive logistics model, I attempt to identify cost drivers and sensitivities in the networks and recommend strategies to mitigate adverse impacts. Specifically, this research pertains to the fulfillment of notebook computers and associated accessories at Dell, Inc.; however, the insights can be generalized to any consumer product firm with a variety of products, serving customers in multiple regions of the world. The model development and implementation results indicate that the lowest cost strategy for Dell's current fulfillment supply chain consists of minimizing the system box contents at the factory and fulfilling additional accessories separately in the customer region. Inbound costs are the most significant factor in the total fulfillment logistics cost. Every effort should be made to reduce this cost by minimizing the weight of the system box shipped from the manufacturer. Additionally, it is evident that regional logistics costs in the three major customer markets for Dell: Americas, Europe-Middle East- Africa, and Asia-Pacific-Japan, are not uniformly affected by differences in packaging strategies. These differences are the result of specific cost bases and product demand profiles associated with the regions. Therefore, I recommend evaluating future fulfillment strategies with this model to understand the specific cost impact on individual regions on an ongoing basis.
by Margo de Naray
S.M.
M.B.A.
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Marculetiu, Alina. "Essays of Sustainable Supply Chain Management: An Analysis of Drivers and Barriers." Cleveland State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=csu162463879456093.

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Santomauro, Joanne DeFusco. "An Exploration of the Global Clinical Trial Ancillary Supply Chain and the Drivers of Success During the Pre, In, and Post Phases." Diss., Temple University Libraries, 2019. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/569244.

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Business Administration/Interdisciplinary
D.B.A.
Until recently, academic and practitioner research on clinical trial supply chains focused on identifying innovative models and solutions in providing comparator and study drugs to global clinical sites. Due to the expansion of outsourcing efforts by pharmaceutical organizations, newly enacted global laws and regulations, and the continued push to increase the speed at which new drugs gain market approval, a new and extremely complex global “ancillary” supply chain has emerged. This manuscript focuses on the clinical trial ancillary supply chain: a supply chain that develops the end-to-end process resulting in the distribution and quality management of medical products and devices, consumable supplies, and patient giveaways to global clinical trial sites. Based on a series of quantitative analyses, this research assesses the influence of the customer, country, and product on the overall success of the supply chain. Three factors emerged from these analyses as having a direct influence on the clinical trial ancillary supply chain; product characteristics, magnitude (components of size), and stability (components of changes in scope). Part II of this research sought to understand the success of the supply chain by evaluating the moderating effects of knowledge management, organizational culture, therapeutic area, and type of shipment. Assessments of 444 customer and server surveys yielded components of a sense of shared culture, shared communication and transparency, and feeling educated and supported. Quantitative data analysis supported that these components had a moderating influence on success during the pre-trial phase of the supply chain. These research findings provide insight into the internal and external drivers of success within the complex and emergent clinical trial supply chain – a supply chain that helps pharmaceutical organizations bring innovative therapies to market and most important, those patients in need of such therapies to improve or even save their lives.
Temple University--Theses
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Essila, Mvogo Jean Clement. "Identification of Supply Chain Cost Drivers in Primary Care in the United States." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10688299.

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Over the last decade, healthcare supply chain (SC) costs have increased by 40 percent in the United States. A typical hospital’s SC costs account for 38 percent of the total, compared to less than 10 percent for most industries. Supply chain costs are the healthcare organizations’ second biggest expense. Healthcare centers are, therefore, becoming supply chain-sensitive organizations, leading to inefficiency and limited access to quality patient healthcare. This problem is exacerbated by the fact that healthcare SC cost drivers are almost unknown, which makes the work of healthcare SC managers more difficult. This study focuses on uncovering SC cost drivers and provides appropriate cost-reduction strategies tailored to confront each identified driver. Primary data were collected from health centers and secondary data was collected from databases such as Health Care Cost Institute (HCCI), Data Resources Agency for Healthcare Research & Quality, National Health Expenditure Data, and Centers for Medicare & Medicaid. The study looked at the attributes that explain the most variation in each contributing factor. A multiple regression was developed to predict the costs along with F tests and Student t-tests to determine the model goodness-of-fit and each factor’s contribution significance. The results of the study might lead to improved efficiency in healthcare organizations and increased access to quality healthcare for the population.

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Books on the topic "Supply chain drivers"

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Mendes, Paulo. Demand Driven Supply Chain. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19992-9.

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Lyons, Andrew C., Adrian E. Coronado Mondragon, Frank Piller, and Raúl Poler. Customer-Driven Supply Chains. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-84628-876-0.

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Sharma, Vinit. The Cloud-Based Demand-Driven Supply Chain. Hoboken, NJ, USA: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119477792.

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Hines, Tony. Supply chain strategies: Customer driven and customer focused. Oxford: Butterworth-Heinemann, 2004.

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Siddiqui, Muneeb A. Oracle e-business suite R12 supply chain management: Drive your supply chain processes with Oracle e-business suite R12 supply chain management to achieve measurable business gains. Birmingham, UK: Packt, 2010.

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Market driven enterprise: Product development, supply chains, and manufacturing. New York: Wiley, 2001.

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Davis, Robert A. Demand-driven inventory optimization and replenishment: Creating a more efficient supply chain. Hoboken, New Jersey: Wiley, 2013.

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Mendes, Paulo. Demand Driven Supply Chain: A Structured and Practical Roadmap to Increase Profitability. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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Slone, Reuben E. The new supply chain agenda: The 5 steps that drive real value. Boston, Mass: Harvard Business Press, 2010.

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Paul, Dittmann J., and Mentzer John T, eds. The new supply chain agenda: The 5 steps that drive real value. Boston, Mass: Harvard Business Press, 2010.

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Book chapters on the topic "Supply chain drivers"

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Szuster, Mariusz. "Supply Chain Sustainability—Drivers, Inhibitors, Solutions." In EcoProduction, 57–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-33935-6_3.

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Jung, Verena, Marianne Peeters, and Tjark Vredeveld. "Drivers and Resistors for Supply Chain Collaboration." In Operations Research Proceedings 2016, 623–28. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55702-1_82.

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Achabou, Mohamed Akli, and Sihem Dekhili. "Constraints and Drivers of Growth in the Ethical Fashion Sector: The Case of France." In Sustainable Fashion Supply Chain Management, 167–81. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12703-3_9.

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Raab, Martin. "eBusiness — Drivers for Change in the Supply Chain." In Die etransformation beginnt!, 229–37. Heidelberg: Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-642-57550-1_8.

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Sheetal Soda, Anish Sachdeva, and R. K. Garg. "Green Supply Chain Management Drivers Analysis Using TISM." In Flexible Systems Management, 113–35. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4888-3_8.

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Bouzon, Marina, and Kannan Govindan. "Reverse Logistics as a Sustainable Supply Chain Practice for the Fashion Industry: An Analysis of Drivers and the Brazilian Case." In Sustainable Fashion Supply Chain Management, 85–104. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12703-3_5.

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Dubey, Rameshwar, and Nezih Altay. "Drivers of Coordination in Humanitarian Relief Supply Chains." In The Palgrave Handbook of Humanitarian Logistics and Supply Chain Management, 297–325. London: Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-59099-2_10.

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Levering, Roland, and Bart Vos. "Organizational Drivers and Barriers to Circular Supply Chain Operations." In Operations Management and Sustainability, 43–66. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93212-5_4.

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Garg, Rajiv Kumar, Anish Sachdeva, and Harjit Singh. "Benchmarking the Interactions Among Drivers in Supply Chain Collaboration." In Lecture Notes on Multidisciplinary Industrial Engineering, 215–39. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6476-1_12.

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Espahbod, Shervin. "Intelligent Freight Transportation and Supply Chain Drivers: A Literature Survey." In Uncertainty and Operations Research, 49–56. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5720-0_6.

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Conference papers on the topic "Supply chain drivers"

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Hassine, Sana Ben, Rafaa Mraihi, and Elyes Kooli. "Drivers' Parking Choice Behavior." In 2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA). IEEE, 2019. http://dx.doi.org/10.1109/logistiqua.2019.8907248.

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Boubaker, Selmen, Zied Jemai, Evren Sahin, and Yves Dallery. "Supply chain agility drivers and enablers." In 2019 International Conference on Industrial Engineering and Systems Management (IESM). IEEE, 2019. http://dx.doi.org/10.1109/iesm45758.2019.8948190.

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Hanna, Hany, Paul Xirouchakis, and Athanasios Rentizelas. "Developing Integrated Green Supply Chain Drivers and Barriers Framework for Green Supply Chain Adoption, MENA Region." In The 8th International Conference on Advanced Materials and Systems. INCDTP - Leather and Footwear Research Institute (ICPI), Bucharest, Romania, 2020. http://dx.doi.org/10.24264/icams-2020.iv.9.

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Recently, corporate environmental practice such as Green Supply Chain Management (GSCM) and green innovation appears as a novel organized environmental practice for manufacturing companies to handle the increasing environmental issues. The aim of this paper is to assess the level of adoption of GSCM and green practices through proposing framework. A total of 123 responses from industrial sector of the Middle East companies were collected from mail questionnaire. The results showed industrial sector of the Middle East manufacturing companies are in trial adoption stage for both GSCM practices. Internal environmental management practice of GSCM practices are relatively high adopted in industrial sector. Meanwhile, most of all green innovation practices are heavily implemented in MENA region companies. This paper empirically attempts to provide understanding and new insights for sustainability management area where GSCM and green innovation practices are important to improve organizational environmental performance, which can directly offer great benefits for both researchers and practitioners.
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Zhang, Qingyu, Helin Ma, Lily Weng, and Mei Cao. "Drivers and consequences of Green supply chain management: An empirical examination." In 2017 14th International Conference on Service Systems and Service Management (ICSSSM). IEEE, 2017. http://dx.doi.org/10.1109/icsssm.2017.7996161.

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Reese, Samantha, Margaret Mann, Timothy Remo, and Kelsey Horowitz. "Regional Manufacturing Cost Structures and Supply Chain Considerations for Medium Voltage Silicon Carbide Power Applications." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6601.

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Bottoms-up cost analysis has been a mainstay of commoditized industry and manufacturing processes for years, however a holistic objective supply chain analysis to inform research and investment in the development of early stage technologies has not. The potential for rapid adoption of wide bandgap (WBG) semiconductors, specifically silicon carbide (SiC), highlights a need to understand the drivers of location-specific manufacturing cost, global supply chains, and plant location decisions. Further, ongoing research and investment, necessitates analytical analysis to help inform the roadmap of SiC technologies. In collaboration with PowerAmerica the project explores the bottoms-up cost analysis of wafers, devices, modules, and variable frequency motor drives at the anticipated manufacturing levels. Leveraging these models, it outlines how the cost reduction potential of proposed research advances can be quantified.
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Raihanian Mashhadi, Ardeshir, and Sara Behdad. "Measuring the Complexity of Additive Manufacturing Supply Chains." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-2871.

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Complexity has been one of the focal points of attention in the supply chain management domain, as it deteriorates the performance of the supply chain and makes controlling it problematic. The complexity of supply chains has been significantly increased over the past couple of decades. Meanwhile, Additive Manufacturing (AM) not only revolutionizes the way that the products are made, but also brings a paradigm shift to the whole production system. The influence of AM extends to product design and supply chain as well. The unique capabilities of AM suggest that this manufacturing method can significantly affect the supply chain complexity. More product complexity and demand heterogeneity, faster production cycles, higher levels of automation and shorter supply paths are among the features of additive manufacturing that can directly influence the supply chain complexity. Comparison of additive manufacturing supply chain complexity to its traditional counterpart requires a profound comprehension of the transformative effects of AM on the supply chain. This paper first extracts the possible effects of AM on the supply chain and then tries to connect these effects to the drivers of complexity under three main categories of 1) market, 2) manufacturing technology, and 3) supply, planning and infrastructure. Possible impacts of additive manufacturing adoption on the supply chain complexity have been studied using information theoretic measures. An Agent-based Simulation (ABS) model has been developed to study and compare two different supply chain configurations. The findings of this study suggest that the adoption of AM can decrease the supply chain complexity, particularly when product customization is considered.
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Guojun Ji. "Drivers and enablers of environmental governance capabilities of SMEs in supply chain." In 2009 6th International Conference on Service Systems and Service Management. IEEE, 2009. http://dx.doi.org/10.1109/icsssm.2009.5174863.

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Bindi, Bianca, Virginia Fani, Romeo Bandinelli, Gilda Massa, Gessica Ciaccio, Arianna Brutti, and Piero De Sabbata. "Barriers and drivers of eBIZ adoption in the fashion supply chain: Preliminary results." In 2018 5th International Conference on Industrial Engineering and Applications (ICIEA). IEEE, 2018. http://dx.doi.org/10.1109/iea.2018.8387162.

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Mafini, Chengedzai. "DYNAMIC CAPABILITIES, SERVICE QUALITY AND RELATIONSHIP CONTINUITY AS DRIVERS OF SME SUPPLY CHAIN PERFORMANCE." In 24th International Academic Conference, Barcelona. International Institute of Social and Economic Sciences, 2016. http://dx.doi.org/10.20472/iac.2016.024.059.

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Song, Guang, and Riccardo Mangiaracina. "Drivers affecting strategic configuration of global supply chain: A literature review and a research agenda." In 2013 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI). IEEE, 2013. http://dx.doi.org/10.1109/soli.2013.6611460.

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Reports on the topic "Supply chain drivers"

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Lantz, Eric, Michael Leventhal, and Ian Baring-Gould. Wind Power Project Repowering: Financial Feasibility, Decision Drivers, and Supply Chain Effects. Office of Scientific and Technical Information (OSTI), December 2013. http://dx.doi.org/10.2172/1117058.

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Dickson, Marsha A. Drivers of Global Buyer Sourcing of Sustainable Apparel from a South African Supply Chain. Ames: Iowa State University, Digital Repository, November 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1564.

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Rendon, Rene G., Uday Apte, and Michael Dixon. Services Supply Chain in the Department of Defense: Drivers of Success in Services Acquisition. Fort Belvoir, VA: Defense Technical Information Center, January 2014. http://dx.doi.org/10.21236/ada601873.

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Rendon, Rene G., Uday Apte, and Michael Dixon. Services Supply Chain in the Department of Defense: Drivers of Success in Services Acquisition. Fort Belvoir, VA: Defense Technical Information Center, April 2014. http://dx.doi.org/10.21236/ada624712.

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Islam Molla, Tahmidul, and Jung Ha-Brookshire. Job Responsibilities of Textile and Apparel Supply Chain Managers: From Mentzer’s Key Drivers of Competitive Advantage Perspective. Ames: Iowa State University, Digital Repository, November 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-122.

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O’Brien, Tom, Deanna Matsumoto, Diana Sanchez, Caitlin Mace, Elizabeth Warren, Eleni Hala, and Tyler Reeb. Southern California Regional Workforce Development Needs Assessment for the Transportation and Supply Chain Industry Sectors. Mineta Transportation Institute, October 2020. http://dx.doi.org/10.31979/mti.2020.1921.

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COVID-19 brought the public’s attention to the critical value of transportation and supply chain workers as lifelines to access food and other supplies. This report examines essential job skills required of the middle-skill workforce (workers with more than a high school degree, but less than a four-year college degree). Many of these middle-skill transportation and supply chain jobs are what the Federal Reserve Bank defines as “opportunity occupations” -- jobs that pay above median wages and can be accessible to those without a four-year college degree. This report lays out the complex landscape of selected technological disruptions of the supply chain to understand the new workforce needs of these middle-skill workers, followed by competencies identified by industry. With workplace social distancing policies, logistics organizations now rely heavily on data management and analysis for their operations. All rungs of employees, including warehouse workers and truck drivers, require digital skills to use mobile devices, sensors, and dashboards, among other applications. Workforce training requires a focus on data, problem solving, connectivity, and collaboration. Industry partners identified key workforce competencies required in digital literacy, data management, front/back office jobs, and in operations and maintenance. Education and training providers identified strategies to effectively develop workforce development programs. This report concludes with an exploration of the role of Institutes of Higher Education in delivering effective workforce education and training programs that reimagine how to frame programs to be customizable, easily accessible, and relevant.
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Lyons, Andrew, Adrian E. Coronado, and Dennis Kehoe. An Information Systems Requirements Architecture for Customer-Driven, Supply-Chain Operations. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0077.

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Yusgiantoro, Luky A., Akhmad Hanan, Budi P. Sunariyanto, and Mayora B. Swastika. Mapping Indonesia’s EV Potential in Global EV Supply Chain. Purnomo Yusgiantoro Center, June 2021. http://dx.doi.org/10.33116/br.004.

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• Energy transition in the transportation sector is indicated by the gradual shifting from the use of internal combustion engine (ICE) vehicles to electric vehicles (EVs) globally. • The transportation sector consumed 43% of total global energy and emitted 16.2% of total global emissions in 2020. Similarly, the transportation sector in Indonesia consumed 45% of the total energy and contributed to 13.6% of CO2 emission in 2019. • Global EV development and utilization are increasing exponentially, especially in developed countries, and there were 10 million EVs in 2020 worldwide. • China has successfully dominated global EVs, both in EV utilization and manufacturing with 45% global EVs Stock and 77% global EV batteries production. • Geopolitically, the abundance of Indonesian nickel reserves provides Indonesia a great opportunity to be one of the main players in EV battery manufacturing. • With an annual average growth of 6%, the projected motorized vehicles growth in Indonesia will reach 214 million in 2030. The right government policies would make Indonesia become the Southeast Asia EV market hub as Indonesia has the largest automotive sales and production market among ASEAN countries. • Measurable and realistic national EV development targets and plans supported by executing policies such as fiscal incentives and hardware standardization, sufficient EV charging infrastructure, and other supporting infrastructures are key elements that drive successful EV development in several countries. • Insufficient domestic industries and technology, and the absence of policies that comprehensively cover the customers and producers directly to support EV development and utilization in Indonesia, resulting in the achieved number of EVs and EV infrastructures in Indonesia are far from the updated target or even the initial target (RUEN, 2017).
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Horowitz, Kelsey, Timothy Remo, and Samantha Reese. A Manufacturing Cost and Supply Chain Analysis of SiC Power Electronics Applicable to Medium-Voltage Motor Drives. Office of Scientific and Technical Information (OSTI), March 2017. http://dx.doi.org/10.2172/1349212.

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Zhou, Yan, David Gohlke, Luke Rush, Jarod Kelly, and Qiang Dai. Lithium-Ion Battery Supply Chain for E-Drive Vehicles in the United States: 2010–2020. Office of Scientific and Technical Information (OSTI), March 2021. http://dx.doi.org/10.2172/1778934.

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