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This study focuses on the Toyota production system (TPS) and Lean in relation to innovation. The authors examine the tools and behaviors adopted in the TPS that are absent in the Six Sigma (SS) programs and how these elements may influence innovation and quality. Finally, this research analyzes the hybrid Lean Six Sigma (LSS). System analysis involves assessing a business scenario to improve the situation, establishes the changes needed and required, and innovation and product quality as components of the system analysis. This paper undertook text excavating and focused cluster development on highlighting the level of the Lean Six Sigma representations, as explained in articles on the Lean Six Sigma, such as those that compare Lean and Six Sigma. An iterative cluster examination was adopted to understand the primary focus of research in this area. The analysis shows that there is less research on the intersection of TPS and LSS in the areas of philosophy, partners, and people. These areas represent the opportunity to enhance the application of process improvement methods.
Brian J. Galli; Lincoln C. Wood. How to Apply System Analysis and System Thinking to Lean Six Sigma Initiatives. International Journal of Service Science, Management, Engineering, and Technology 2021, 12, 1 -25.
AMA StyleBrian J. Galli, Lincoln C. Wood. How to Apply System Analysis and System Thinking to Lean Six Sigma Initiatives. International Journal of Service Science, Management, Engineering, and Technology. 2021; 12 (4):1-25.
Chicago/Turabian StyleBrian J. Galli; Lincoln C. Wood. 2021. "How to Apply System Analysis and System Thinking to Lean Six Sigma Initiatives." International Journal of Service Science, Management, Engineering, and Technology 12, no. 4: 1-25.
Background Elective surgery cancellation is considered a fundamental problem in health care services—it causes considerable disruption to patient flow, further eroding often already stretched operating capacity, and consequentially reduces both hospital performance and patient satisfaction. This research presents a systematic review (SR) of the reasons for surgery cancellation among different hospitals and countries. By highlighting these causes, we identify how to reduce cancellations, thereby improving the use of surgical capacity and resources and creating a more predicable patient flow. Methods An SR was performed on elective surgery cancellation in compliance with the Preferred Reporting Items for Systematic Review and Meta-Analysis and by assessing the methodological quality of SR with Measurement Tool to Assess Systematic Reviews guidelines. Results There are different reasons for surgery cancellation that vary between hospitals. This SR demonstrates that hospital-related causes (e.g. unavailable operation room time, inappropriate scheduling policy and lack of beds) are the primary reason for surgery cancellation, followed by work-up related causes (e.g. medically unfit and changes in the treatment plan) and patient-related causes (e.g. absence of a patient and patient refusal). Conclusion This review demonstrates that the main causes for surgery cancellation can be controlled by hospital managers, who can aim to improve areas such as patient flow and capacity management. Ultimately, this will improve the quality of healthcare delivered by hospitals.
Mona Koushan; Lincoln C Wood; Richard Greatbanks. Evaluating factors associated with the cancellation and delay of elective surgical procedures: a systematic review. International Journal for Quality in Health Care 2021, 33, 1 .
AMA StyleMona Koushan, Lincoln C Wood, Richard Greatbanks. Evaluating factors associated with the cancellation and delay of elective surgical procedures: a systematic review. International Journal for Quality in Health Care. 2021; 33 (2):1.
Chicago/Turabian StyleMona Koushan; Lincoln C Wood; Richard Greatbanks. 2021. "Evaluating factors associated with the cancellation and delay of elective surgical procedures: a systematic review." International Journal for Quality in Health Care 33, no. 2: 1.
This chapter reviews past radio frequency identification (RFID) literature within the fast-moving consumer goods (FMCG) industry and the impact of consumer benefits on the perceived risks of item-level RFID. Two new categories are used to measure this impact; the separation of consumers' interactions with the technology to in-store and after-sales allows the consumers expectation of privacy to changes depending on the surrounding environment. A quantitative survey on primary household grocery purchasers within the USA revealed that while consumers are aware of the associated privacy risks after sale, they would be willing to use the technology, given sufficient benefits. This important step in RFID literature changes the conversation from a privacy risk management focus to a balanced integration of the technology, focusing on consumer benefits to manage the roll-out within the FMCG industry.
Wesley A. Kukard; Lincoln C. Wood. Consumer Value Trumps Perceived Privacy Risk. Research Anthology on Privatizing and Securing Data 2021, 1438 -1458.
AMA StyleWesley A. Kukard, Lincoln C. Wood. Consumer Value Trumps Perceived Privacy Risk. Research Anthology on Privatizing and Securing Data. 2021; ():1438-1458.
Chicago/Turabian StyleWesley A. Kukard; Lincoln C. Wood. 2021. "Consumer Value Trumps Perceived Privacy Risk." Research Anthology on Privatizing and Securing Data , no. : 1438-1458.
This study aims to estimate the depth of anesthesia (DOA) at a safe and appropriate level taking into account the patient characteristics during the induction phase. Bi-spectral Index signal (BIS) as a common approach of controlling DOA generates noise and delays in the initial phase of induction. This may lead to useless information in the process of controlling. Moreover, using the BIS index entails a time-consuming process, high equipping costs, and a lack of accessibility to device accessories. To overcome these problems, we propose a new model of controlling DOA with no need for the use of such an index. Hence, an estimation strategy for DOA is developed applying a feedforward neural network and an adaptive neuro-fuzzy inference estimation model. This model estimates the dose of intravenous anesthetic drugs concerning the patients’ needs resulting in optimal drug dose and stable anesthesia depth. The proposed estimations are tested by sensitivity analysis being compared with real data obtained from the classical model (PK-PD) revised approach and BIS approach on 13 patients undergoing surgery. The results show an accuracy of 0.999, indicative of a high-validated model. Compared to BIS, our proposed model not only controls DOA accurately but also achieves outcomes in practice successfully. Some practical implications for future research and clinical practice are also suggested.
Najmeh Jamali; Ahmad Sadegheih; M. M. Lotfi; Lincoln C. Wood; M. J. Ebadi. Estimating the Depth of Anesthesia During the Induction by a Novel Adaptive Neuro-Fuzzy Inference System: A Case Study. Neural Processing Letters 2020, 53, 131 -175.
AMA StyleNajmeh Jamali, Ahmad Sadegheih, M. M. Lotfi, Lincoln C. Wood, M. J. Ebadi. Estimating the Depth of Anesthesia During the Induction by a Novel Adaptive Neuro-Fuzzy Inference System: A Case Study. Neural Processing Letters. 2020; 53 (1):131-175.
Chicago/Turabian StyleNajmeh Jamali; Ahmad Sadegheih; M. M. Lotfi; Lincoln C. Wood; M. J. Ebadi. 2020. "Estimating the Depth of Anesthesia During the Induction by a Novel Adaptive Neuro-Fuzzy Inference System: A Case Study." Neural Processing Letters 53, no. 1: 131-175.
Big data analytics research in humanitarian supply chain management has gained popularity for its ability to manage risks. While big data analytics can predict future events, it can also concentrate on current events and support preparation for future events. Big data analytics-driven approaches in humanitarian supply chain management are complicated due to the presence of multiple barriers. The current study aims to identify the leading barriers; further categorize them and finally develop the contextual interrelationships using the Fuzzy Total Interpretive Structural Modeling (TISM) approach. Sustainable humanitarian supply chain management research is in nascent stage and therefore, Fuzzy TISM is used in this study for theory building purpose and answering three key questions-what, how and why. Fuzzy TISM shows some key transitive links which provides enhanced explanatory framework. The TISM model shows that the fifteen barriers achieved eight levels and decision-makers must aim to remove the foundational barriers to apply big data analytics in sustainable humanitarian supply chain management. Fuzzy TISM were synthesized to develop a conceptual model and this was statistically validated considering a sample of 108 responses from African based humanitarian organizations. Findings suggest that organizational focus is required on implementing modern management practices; second, more emphasis is required on infrastructure development and lastly, improvement is required on quality of information sharing as these variables can influence sustainable humanitarian supply chain management. Finally, the conclusions and future research directions were outlined which may help stakeholders in sustainable humanitarian supply chain management to eliminate the BDA barriers.
Surajit Bag; Shivam Gupta; Lincoln Wood. Big data analytics in sustainable humanitarian supply chain: barriers and their interactions. Annals of Operations Research 2020, 1 -40.
AMA StyleSurajit Bag, Shivam Gupta, Lincoln Wood. Big data analytics in sustainable humanitarian supply chain: barriers and their interactions. Annals of Operations Research. 2020; ():1-40.
Chicago/Turabian StyleSurajit Bag; Shivam Gupta; Lincoln Wood. 2020. "Big data analytics in sustainable humanitarian supply chain: barriers and their interactions." Annals of Operations Research , no. : 1-40.
Mining and mineral resources help provide the requirements of everyday life by contributing to essential products and services. In the era of fourth industrial revolution, the trend in logistics is toward a smart logistics system. Therefore, it becomes essential to understand how Industry 4.0 resources influence smart logistics, i.e., instrumented logistics, interconnected logistics, and intelligent logistics. This study investigates how Industry 4.0 resources impact smart logistics and further influence dynamic remanufacturing and green manufacturing capability and, the final effect on business logistics sustainability. Survey data were collected from 150 respondents using an online survey of South African executives in firms operating mines, quarries, and processing plants. Partial Least Squares based structural equation modelling (PLS-SEM) was used to test the hypotheses. The findings indicate that Industry 4.0 resources have a strong effect on intelligent logistics compared to its impact on interconnected logistics and instrumented logistics. The impact of intelligent logistics is found to be very high compared to that of interconnected logistics and instrumented logistics on dynamic remanufacturing and green manufacturing capability. Finally, dynamic remanufacturing and green manufacturing capability are found to have a positive influence business logistics sustainability.
Surajit Bag; Gunjan Yadav; Lincoln C. Wood; Pavitra Dhamija; Sudhanshu Joshi. Industry 4.0 and the circular economy: Resource melioration in logistics. Resources Policy 2020, 68, 101776 .
AMA StyleSurajit Bag, Gunjan Yadav, Lincoln C. Wood, Pavitra Dhamija, Sudhanshu Joshi. Industry 4.0 and the circular economy: Resource melioration in logistics. Resources Policy. 2020; 68 ():101776.
Chicago/Turabian StyleSurajit Bag; Gunjan Yadav; Lincoln C. Wood; Pavitra Dhamija; Sudhanshu Joshi. 2020. "Industry 4.0 and the circular economy: Resource melioration in logistics." Resources Policy 68, no. : 101776.
PurposeThis research proposes a decision framework for using non-financial measures to define a replenishment policy for perishable health products. These products are perishable and substitutable by nature and create complexities for managing inventory. Instead of a financial measure, numerous measures should be considered and balanced to meet business objectives and enhance inventory management.Design/methodology/approachThis research applies a multi-methodological approach and develops a framework that integrates discrete event simulation (DES), analytic hierarchy process (AHP) and data envelopment analysis (DEA) techniques to define the most favourable replenishment policy using non-financial measures.FindingsThe integration framework performs well as illustrated in the numerical example; outcomes from the framework are comparable to those generated using a traditional, financial measures-based, approach. This research demonstrates that it is feasible to adopt non-financial performance measures to define a replenishment policy and evaluate performance.Originality/valueThe framework, thus, prioritises non-financial measures and addresses issues of lacking information sharing and employee involvement to enhance hospitals' performance while minimising costs. The non-financial measures improve cross-functional communication while supporting simpler transformations from high-level strategies to daily operational targets.
Linh Nguyen Khanh Duong; Lincoln C. Wood; William Yu Chung Wang. Inventory management of perishable health products: a decision framework with non-financial measures. Industrial Management & Data Systems 2020, 120, 987 -1002.
AMA StyleLinh Nguyen Khanh Duong, Lincoln C. Wood, William Yu Chung Wang. Inventory management of perishable health products: a decision framework with non-financial measures. Industrial Management & Data Systems. 2020; 120 (5):987-1002.
Chicago/Turabian StyleLinh Nguyen Khanh Duong; Lincoln C. Wood; William Yu Chung Wang. 2020. "Inventory management of perishable health products: a decision framework with non-financial measures." Industrial Management & Data Systems 120, no. 5: 987-1002.
Light, sweet crude oils are depleting, forcing oil and gas companies to explore and operate in increasingly deeper waters, remote geographical locations, and harsher environmental conditions with higher safety risks. This paper analyzed the common misuse and errors of typical quantitative risk assessments (QRAs) during identification, assessment, approval, and project implementation stages of a project for the case of optimization of facilities and manning fixed offshore oil and gas platform, as well as the scenario of a gas leak from riser pipeline of a floating production platform. The lessons learned were then applied to design an optimized QRA process for a real case, preproject assessment for a proposed addition of a riser platform (R-A) to a fixed offshore oil and gas platform complex using individual risk per annum (IRPA) and potential loss of life (PLL) analyses. Findings reveal that applying the standard hazard and effects management process (HEMP) and as low as reasonably practicable (ALARP) guidelines and tools alone are insufficient. The application of practical lessons learned from the past oil and gas disasters using IRPA and PLL parameters has helped this research to produce an optimized QRA. The optimized QRA process is a live process which could be further improved with future lessons learned.
Chen Wang; Patrick Ong; Lincoln C. Wood; Fengqiu Zou; Hamzah Abdul-Rahman. Novel Quantitative Risk Assessment Interface for Fixed Offshore Oil and Gas Exploration Platforms. ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg 2020, 6, 1 .
AMA StyleChen Wang, Patrick Ong, Lincoln C. Wood, Fengqiu Zou, Hamzah Abdul-Rahman. Novel Quantitative Risk Assessment Interface for Fixed Offshore Oil and Gas Exploration Platforms. ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg. 2020; 6 (2):1.
Chicago/Turabian StyleChen Wang; Patrick Ong; Lincoln C. Wood; Fengqiu Zou; Hamzah Abdul-Rahman. 2020. "Novel Quantitative Risk Assessment Interface for Fixed Offshore Oil and Gas Exploration Platforms." ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg 6, no. 2: 1.
Purpose This study aims to develop a comprehensive set of determinants and sub-determinant of eco-innovation (EI) and to propose an approach for their structuring and prioritisation. Design/methodology/approach A framework was developed based on a literature review, interpretive structural modelling (ISM) was used to structure the main determinants and the results were transferred into a six-phase quality function deployment (QFD) for prioritising the sub-determinants. The statistical population included 15 experts and the middle/top managers of 130 knowledge-based companies. Findings Based on the results of the driving power and dependence diagram from the ISM, a seven-level classification of the main determinants has been used. The QFD results indicated ‘meeting environmental law standards’; ‘scale to support innovative strategies’; ‘commitment to continually improve and make eco-innovations’; ‘technological advisory oriented to environment’; ‘product and process EI oriented methods’; ‘improvements in energy efficiency across the company and the market’ and ‘reputation, brand image, and profit margin’ as the priorities of the sub-determinants of eco-innovation in the phases of the developed QFD. Practical implications The findings of this study provide evidence of the usefulness of decision-making approaches such as ISM and QFD in resolving environmental problems, which is helpful to analysts and practitioners in the field of EI. Originality/value The novel ISM+EID2 approach proposed distinguishes this study from previous studies. The approach allows elaboration on the model presented by de Pacheco et al. (2017) by adding nine empirically derived sub-determinants.
Aryana Shahin; Narges Imanipour; Arash Shahin; Lincoln C. Wood. An integrative approach for structuring and prioritising eco-innovation determinants with a survey in knowledge-based companies. Journal of Manufacturing Technology Management 2020, 31, 799 -824.
AMA StyleAryana Shahin, Narges Imanipour, Arash Shahin, Lincoln C. Wood. An integrative approach for structuring and prioritising eco-innovation determinants with a survey in knowledge-based companies. Journal of Manufacturing Technology Management. 2020; 31 (4):799-824.
Chicago/Turabian StyleAryana Shahin; Narges Imanipour; Arash Shahin; Lincoln C. Wood. 2020. "An integrative approach for structuring and prioritising eco-innovation determinants with a survey in knowledge-based companies." Journal of Manufacturing Technology Management 31, no. 4: 799-824.
Purpose: Problems identified in the motion picture production include quality aspect, industry networking, marketing and promotion, and domestic focus of creative development work.Design/methodology/approach: This article aims to develop a structured project management strategy to improve the Malaysian motion picture production.Findings/results: Through the combination of a questionnaire survey and an interview survey, this research determined current barriers related to 10 knowledge areas of Project Management Body of Knowledge (PMBOK) in motion picture production projects.Practical implications: This research developed a working model using the 10 knowledge areas in PMBOK for both the production and marketing projects in the motion picture industry in this fasting developing economy.Originality/value: The 10 knowledge areas in PMBOK are consistent and valuable in making the film making processes sufficient. The motion picture production project management model developed in this study is experimental yet gives a fundamental understanding on strategy to focus and to conduct a proper film making or motion picture production.
Kae H. Ng; Chen Wang; Jeffrey B.H. Yap; Lincoln C. Wood; Sugindran Krisnan. Project Management Body of Knowledge for motion picture production in a fast-developing economy. South African Journal of Business Management 2020, 51, 1 .
AMA StyleKae H. Ng, Chen Wang, Jeffrey B.H. Yap, Lincoln C. Wood, Sugindran Krisnan. Project Management Body of Knowledge for motion picture production in a fast-developing economy. South African Journal of Business Management. 2020; 51 (1):1.
Chicago/Turabian StyleKae H. Ng; Chen Wang; Jeffrey B.H. Yap; Lincoln C. Wood; Sugindran Krisnan. 2020. "Project Management Body of Knowledge for motion picture production in a fast-developing economy." South African Journal of Business Management 51, no. 1: 1.
Operations management is a core organizational function involved in the management of activities to produce and deliver products and services. Appropriate operations decisions rely on assessing and using information; a task made more challenging in the Big Data era. Effective management of data (big data analytics; BDA), along with staff capabilities (the talent capability in the use of big data) support firms to leverage big data analytics and organizational learning in support of sustainable supply chain management outcomes. The current study uses dynamic capability theory as a foundation for evaluating the role of BDA capability as an operational excellence approach in improving sustainable supply chain performance. We surveyed mining executives in the emerging economy of South Africa and received 520 valid responses (47% response rate). We used Partial Least Squares Structural Equation Modelling (PLS-SEM) to analyze the data. The findings show that big data analytics management capabilities have a strong and significant effect on innovative green product development and sustainable supply chain outcomes. Big data analytics talent capabilities have a weaker but still significant effect on employee development and sustainable supply chain outcomes. Innovation and learning performance affect sustainable supply chain performance, and supply chain innovativeness has an important moderating role. A contribution of the study is identifying two pathways that managers can use to improve sustainable supply chain outcomes in the mining industry, based on big data analytics capabilities.
Surajit Bag; Lincoln C. Wood; Lei Xu; Pavitra Dhamija; Yaşanur Kayikci. Big data analytics as an operational excellence approach to enhance sustainable supply chain performance. Resources, Conservation and Recycling 2019, 153, 104559 .
AMA StyleSurajit Bag, Lincoln C. Wood, Lei Xu, Pavitra Dhamija, Yaşanur Kayikci. Big data analytics as an operational excellence approach to enhance sustainable supply chain performance. Resources, Conservation and Recycling. 2019; 153 ():104559.
Chicago/Turabian StyleSurajit Bag; Lincoln C. Wood; Lei Xu; Pavitra Dhamija; Yaşanur Kayikci. 2019. "Big data analytics as an operational excellence approach to enhance sustainable supply chain performance." Resources, Conservation and Recycling 153, no. : 104559.
The purpose of this study is to identify how Procurement 4.0 and digital transformations are related and how digital transformation impacts the intention to optimize the procurement process in the circular economy. The moderating effect of information processing capability is also investigated. We survey South African manufacturers and analyze survey results using the Partial Least Squares Structural Equation Modelling (PLS-SEM) approach to test the research hypotheses and our theoretical framework. Finally, a sample business process is simulated to evaluate how Industry 4.0 automation can influence organizational procurement process optimization and circular economy performance. The findings of this empirical study indicate that Procurement 4.0 strategy positively influences buyers’ intention to optimize business processes. Second, Procurement 4.0 performance review positively influences buyers’ intention to optimize business processes. Third, information processing capability moderates the effect of Procurement 4.0 performance review on buyers’ intention to optimize business processes. Finally, buyers’ intention to optimize business processes plays a key role in enhancing circular economy performance. The simulation results demonstrate the potential benefits from industry 4.0 applications in the procurement function in a circular economy.
Surajit Bag; Lincoln C. Wood; Sachin K. Mangla; Sunil Luthra. Procurement 4.0 and its implications on business process performance in a circular economy. Resources, Conservation and Recycling 2019, 152, 104502 .
AMA StyleSurajit Bag, Lincoln C. Wood, Sachin K. Mangla, Sunil Luthra. Procurement 4.0 and its implications on business process performance in a circular economy. Resources, Conservation and Recycling. 2019; 152 ():104502.
Chicago/Turabian StyleSurajit Bag; Lincoln C. Wood; Sachin K. Mangla; Sunil Luthra. 2019. "Procurement 4.0 and its implications on business process performance in a circular economy." Resources, Conservation and Recycling 152, no. : 104502.
Perishability and substitutability are two key attributes that cannot be ignored in supply chain management. Once produced, perishable products have a finite shelf life. When expired, they are either partially or wholly value-less. The more time that perishable inventory is in storage, the less time it is available for sale to customers. Product substitution is a possibility when considering multiple products. Research indicates that an alternative product is willingly chosen by customers if the preferred one is out of stock. Managers must decide on the replenishment time and replenishment quantity for each item within product subcategory to maximize expected profits under uncertain demand while minimizing the instances of running out of inventory (i.e., a stock out). The combination of these factors often requires simulation models to be developed to understand the behavior of the system as the parameters change. Simulation can incorporate stochasticity and complexity while providing detailed output for further analysis and optimization work.
Linh Nguyen Khanh Duong; Lincoln C. Wood. Discrete Event Simulation in Inventory Management. Advances in Logistics, Operations, and Management Science 2019, 977 -988.
AMA StyleLinh Nguyen Khanh Duong, Lincoln C. Wood. Discrete Event Simulation in Inventory Management. Advances in Logistics, Operations, and Management Science. 2019; ():977-988.
Chicago/Turabian StyleLinh Nguyen Khanh Duong; Lincoln C. Wood. 2019. "Discrete Event Simulation in Inventory Management." Advances in Logistics, Operations, and Management Science , no. : 977-988.
This chapter reviews past radio frequency identification (RFID) literature within the fast-moving consumer goods (FMCG) industry and the impact of consumer benefits on the perceived risks of item-level RFID. Two new categories are used to measure this impact; the separation of consumers' interactions with the technology to in-store and after-sales allows the consumers expectation of privacy to changes depending on the surrounding environment. A quantitative survey on primary household grocery purchasers within the USA revealed that while consumers are aware of the associated privacy risks after sale, they would be willing to use the technology, given sufficient benefits. This important step in RFID literature changes the conversation from a privacy risk management focus to a balanced integration of the technology, focusing on consumer benefits to manage the roll-out within the FMCG industry.
Wesley A. Kukard; Lincoln C. Wood. Consumer Value Trumps Perceived Privacy Risk. Global Implications of Emerging Technology Trends 2019, 179 -199.
AMA StyleWesley A. Kukard, Lincoln C. Wood. Consumer Value Trumps Perceived Privacy Risk. Global Implications of Emerging Technology Trends. 2019; ():179-199.
Chicago/Turabian StyleWesley A. Kukard; Lincoln C. Wood. 2019. "Consumer Value Trumps Perceived Privacy Risk." Global Implications of Emerging Technology Trends , no. : 179-199.
The automotive sector must meet strict regulations to increase mobility while reducing emissions to demonstrate environmental stewardship. Trust in the promise of a sustainable Fahrvergnügen was broken with recent scandals like Dieselgate denting the confidence of regulators and consumers. Overpromising on sustainable innovative technology resulted in unethical behavior, deceit, and failure to meet promised standards. We consider to what extent societal disapproval was evident in the stock market reaction to these events. We sampled 41 announcements (1984 to 2016) and observed a mean stock market reaction of -1.01%. There was no difference in the stock reaction in firms failing governmental vs. voluntary standards and more negative reactions for events following Dieselgate or when compensation was offered. The severity of the reaction to unethical misuse of environmental credentials should encourage maintaining promised environmental performances as a macromarketing strategy.
Lincoln C. Wood; Jason X. Wang; Linh N. K. Duong; Torsten Reiners; Rikki Smith. Stock Market Reactions to Auto Manufacturers’ Environmental Failures. Journal of Macromarketing 2018, 38, 364 -382.
AMA StyleLincoln C. Wood, Jason X. Wang, Linh N. K. Duong, Torsten Reiners, Rikki Smith. Stock Market Reactions to Auto Manufacturers’ Environmental Failures. Journal of Macromarketing. 2018; 38 (4):364-382.
Chicago/Turabian StyleLincoln C. Wood; Jason X. Wang; Linh N. K. Duong; Torsten Reiners; Rikki Smith. 2018. "Stock Market Reactions to Auto Manufacturers’ Environmental Failures." Journal of Macromarketing 38, no. 4: 364-382.
With the intensification of global population, food security is a big concern. Food waste stems from inappropriate inventory management. Companies offer a wide range of products to capture more sales, yet this increases inventories and complicates inventory management. Management challenges are worsened by three factors: uncertain consumer demand, product lifetimes, and consumer substitution among the product range. This research aims to understand the effects of these factors on inventory performance. The analytic hierarchy process (AHP) method was used to weight the importance of each of the non-financial performance measures from the simulation results and data envelopment analysis (DEA) was used to rank and evaluate the scenarios. Then, the most favorable scenario or replenishment policy, which had the lowest DEA efficiency score, was chosen. The results show that when the substitution ratio is greater, its interaction with consumer demand and product lifetime has mostly a small- or medium-sized effect on retailers’ performance, in contrast to relatively larger effects on the supplier. These findings show that suppliers’ performance is affected largely by the existence of the bullwhip effect in the model. Recommendations are provided for managers who are facing uncertainties of consumer demand, substitution, and product lifetime.
Linh N. K. Duong; Lincoln C. Wood; William Y. C. Wang. Effects of Consumer Demand, Product Lifetime, and Substitution Ratio on Perishable Inventory Management. Sustainability 2018, 10, 1559 .
AMA StyleLinh N. K. Duong, Lincoln C. Wood, William Y. C. Wang. Effects of Consumer Demand, Product Lifetime, and Substitution Ratio on Perishable Inventory Management. Sustainability. 2018; 10 (5):1559.
Chicago/Turabian StyleLinh N. K. Duong; Lincoln C. Wood; William Y. C. Wang. 2018. "Effects of Consumer Demand, Product Lifetime, and Substitution Ratio on Perishable Inventory Management." Sustainability 10, no. 5: 1559.
Perishability and substitutability are two key attributes that cannot be ignored in supply chain management. Once produced, perishable products have a finite shelf life. When expired, they are either partially or wholly value-less. The more time that perishable inventory is in storage, the less time it is available for sale to customers. Product substitution is a possibility when considering multiple products. Research indicates that an alternative product is willingly chosen by customers if the preferred one is out of stock. Managers must decide on the replenishment time and replenishment quantity for each item within product subcategory, to maximize expected profits under uncertain demand while minimizing the instances of running out of inventory (i.e., a ‘stock out'). The combination of these factors often requires simulation models to be developed to understand the behavior of the system as the parameters change. Simulation can incorporate stochasticity and complexity while providing detailed output for further analysis and optimization work.
Linh Nguyen Khanh Duong; Lincoln C. Wood; D.B.A. Mehdi Khosrow-Pour. Discrete Event Simulation in Inventory Management. Encyclopedia of Information Science and Technology, Fourth Edition 2018, 5335 -5344.
AMA StyleLinh Nguyen Khanh Duong, Lincoln C. Wood, D.B.A. Mehdi Khosrow-Pour. Discrete Event Simulation in Inventory Management. Encyclopedia of Information Science and Technology, Fourth Edition. 2018; ():5335-5344.
Chicago/Turabian StyleLinh Nguyen Khanh Duong; Lincoln C. Wood; D.B.A. Mehdi Khosrow-Pour. 2018. "Discrete Event Simulation in Inventory Management." Encyclopedia of Information Science and Technology, Fourth Edition , no. : 5335-5344.
This chapter seeks to explore the concept of eco-labels as a method used by firms to promote products with high levels of sustainability performance. The authors examine what this means to the firms involved in terms of implementation and impact on profit. However, they also examine what can happen when a firm fails to live up to the required standards, whether these standards are above required performance or even the minimum mandated performance. The authors use the case of the automotive sector to demonstrate several categories of failure and provide a concluding remark with several pathways forward for future research in this topic.
Rikki Smith; Lincoln C. Wood. Eco-Labels and the Supply Chain. Advances in Logistics, Operations, and Management Science 2018, 130 -169.
AMA StyleRikki Smith, Lincoln C. Wood. Eco-Labels and the Supply Chain. Advances in Logistics, Operations, and Management Science. 2018; ():130-169.
Chicago/Turabian StyleRikki Smith; Lincoln C. Wood. 2018. "Eco-Labels and the Supply Chain." Advances in Logistics, Operations, and Management Science , no. : 130-169.
The event study method allows researchers to examine the importance of an event to firms based on the magnitude and direction of abnormal returns, and then use these results in a cross-sectional regression to understand which managerial decisions may affect these outcomes. While the method has been heavily used in some disciplines, in-management research and logistics research, in particular, the method remains little used and is often used with little thought to key assumptions and design considerations. This chapter aims to provide an overview of the method for logistics and supply chain researchers with a focus on developing the capability to design an effective study and to evaluate research articles to determine possible weaknesses.
Lincoln C. Wood. Event Studies in Logistics Research. Advances in Logistics, Operations, and Management Science 2018, 231 -259.
AMA StyleLincoln C. Wood. Event Studies in Logistics Research. Advances in Logistics, Operations, and Management Science. 2018; ():231-259.
Chicago/Turabian StyleLincoln C. Wood. 2018. "Event Studies in Logistics Research." Advances in Logistics, Operations, and Management Science , no. : 231-259.
Efficient decisions along the supply chain have traditionally demanded sophisticated information sharing processes. Even with decades of research on theoretical and practical developments on integrating systems and stakeholders, in practice, we still seem to struggle to achieve full transparency and mitigate inefficiency challenges. We explore the emerging sentiment analysis technique to augment sales and operations planning with currently unavailable exogenous information. Even though sentiment analysis has gained traction, a comprehensive application in supply chains has not yet been attempted. Relevant topics are reviewed to allow an examination of the key relationships in a process framework, grounded in dual-process and bullwhip effect theory. Our proposed conceptual framework extends our conception of sentiment analysis integration to improve supply chain decisions and performance. The framework addresses managers interested in developing additional analytical capabilities and researchers to initiate further empirical research on the potential held by sentiment analysis in supply chain research.
Lincoln C. Wood; Torsten Reiners; Hari S. Srivastava. Think exogenous to excel: alternative supply chain data to improve transparency and decisions. International Journal of Logistics Research and Applications 2016, 20, 426 -443.
AMA StyleLincoln C. Wood, Torsten Reiners, Hari S. Srivastava. Think exogenous to excel: alternative supply chain data to improve transparency and decisions. International Journal of Logistics Research and Applications. 2016; 20 (5):426-443.
Chicago/Turabian StyleLincoln C. Wood; Torsten Reiners; Hari S. Srivastava. 2016. "Think exogenous to excel: alternative supply chain data to improve transparency and decisions." International Journal of Logistics Research and Applications 20, no. 5: 426-443.