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The purpose of this paper is to investigate the celebrity-brand association from a different perspective.

This study uses exploratory factor analysis, confirmatory factor analysis, and binary logistic regression.

This study conceptualizes celebrity-owned brands (COBs). It statistically validates the complimentary and synergistic effects of six inter-related but distinct factors that are likely to influence a buyer’s willingness to pay price premium for COBs.

This study makes a novel attempt by analysing the celebrity-brand relationship from a different perspective. The paper deviates from the traditional and widely researched linkage of a celebrity with a brand through endorsement.

The purpose of this paper is to explore green packaging from the process dimension. Specifically, it focuses on understanding the behavior of costs associated with installing green packaging infrastructure.

The study used system dynamics to design the model. The model was tested on three industries employed in manufacturing glass bottles to generalize the result.

The study concludes that cost of remanufacturing which initially is higher because of recollection phases and reverse logistics costs eventually becomes lower than new manufacturing as soon as system achieves stability and continues to follow the same trend over the period of time.

The study put forwards an explanation to the concerns of manufacturers who were unwilling to install green packaging or remanufacturing infrastructure into their operations because of several cost- and risk-related dilemmas.

The study extends the academic literature by answering the queries raised by Kassaye and Holloway (2015).

In order to achieve competitive advantage over the physical marketplace, the e-retailers are insisted on endowing with lenient return policies. The piece-wise returns-and-reordering process incurs excessive buffering and unwanted logistics costs which raises overall fulfillment charges. The objective of this study is to re-design e-retail distribution policy by providing temporal storage at logistics service provides' (LSP) location. The impact of recurrent returns on pricing and profit margins are also investigated over time continuum.

A framework is developed to reduce the non-value added (NVA) storage and distribution efforts by providing collaborative buffering between LSP and e-retailer. The knapsack based buffering approach is tested and compared with traditional e-retail distribution practices. The revenue sharing concept is mathematically modelled and implemented in GAMS, which finally validated through multiple return scenarios.

The proposed model outperforms the existing one under all scenarios with different configuration settings of re-ordering, profit margins, and buffer time windows. The distribution cost is found, linearly related to the necessary product buffering space. The findings help to re-design sustainable return policies for individual products so that maximum customer value can be yield with minimum costs.

This study helps to determine the NVA efforts incurred while storing and delivering multi-time returned products to ensure desired service levels. The revenue sharing model provides pricing strategies for e-retail practitioners deciding which product should store in what quantity for how much time at the shipping agency location so that it fulfils the re-ordering at least waiting and sufficient buffering.

The proposed model extends the role of LPSs as temporary buffer providers to reduce returns-and-reordering fulfilment efforts in the e-retail network. This Collaborative framework offers an opportunity to amend the distribution contracts and policies time by time that enhances e-retailer's performance and customer satisfaction.

The purpose of this study was to investigate how Lean Six Sigma (LSS) may help mitigate the impact of COVID-19 within health care environments. The goals of this study were to understand the current knowledge of LSS and COVID-19 through a systematic review of the current literature, identify the gap in the current knowledge of LSS in COVID-19 mitigation within health care environments and define the principles of LSS, within organizational resilience that support a health care organization’s ability to mitigate the impact of COVID-19.

A narrative literature review was conducted to identify relevant research. A total of 21 subject matter experts (SMEs) meeting the inclusion criteria were approached through a guided interview process. Content analysis was conducted to describe how LSS principles contribute to supporting health care organizations operating in the era of COVID-19.

Study results report that personal safety is the primary subject, followed by supporting dimensions of process redesign, and telemedicine. LSS topics that directly relate to COVID-19 are in four thematic areas: tools, applications, benefits and challenges. Particular areas of application, techniques, challenges and benefits are identified and discussed that could be applied proactively and reactively, to organizational and supply chain resilience to recover from COVID-19.

There were a number of limitations to the generalizability of this work. The sample size was small and purposeful, thus, external validity of the study results are not determined. The SMEs in this study have not implemented the practices noted in the results at the time of the study, and knowledge of results is limited to the study aims.

This study of LSS principles and COVID-19 has implications for practitioners and offers specific guidance for areas of health care adoption of LSS techniques and tools that benefit patient safety, challenges for the user to be mindful of and potential benefits in resilience of operations in the era of COVID-19.