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The purpose of this article is based on the unit patent license fee model in the closed-loop supply chain.

This paper analyzes the impact of the bundling strategy of the retailer selling new products and remanufactured products on the closed-loop supply chain under the condition that the original manufacturer produces new products and the remanufacturer produces remanufacturing products.

The results show that alternative products can be bundled, and in many cases, the bundling of remanufactured products and new products is better than selling alone.

If the retailer chooses bundling, for the remanufacturer, when certain conditions are met, the benefits of bundling are greater than the separate sales at that time; for the original manufacturer, when the recycling price sensitivity coefficient is high, the bundling is better than separate sales.

Regarding the retail internal supply chain (SC), both retailers and research are currently focused on reactive food waste reduction options in stores (e.g. discounting or donations). These options reduce waste after a surplus has emerged but do not prevent an emerging surplus in the first place. This paper aims to reveal how retailers can proactively prevent waste along the SC and why the options identified are impactful but, at the same time, often complex to implement.

The authors follow an exploratory approach for a nascent topic to obtain insights into measures taken in practice. Interviews with experts from retail build the main data source.

The authors identify and analyze 21 inbound, warehousing, distribution and store-related options applied in grocery retail. Despite the expected high overall impact on waste, prevention measures in inbound logistics and distribution and warehousing have not been intensively applied to date.

The authors provide a structured approach to mitigate waste within retailers' operations and categorize the types of barriers that need to be addressed.

This research provides a better understanding of prevention options in retail operations, which has not yet been empirically explored. Furthermore, this study conceptualizes prevention and reduction options and reveals implementation patterns.

This study aims to provide a comprehensive framework for the study of indoor air quality (IAQ) in hospitality premises. The goal is to identify the drivers of air pollution, both at the exogenous and endogenous level, to generate insights for facility managers.

The complexity of hospitality premises requires an integrated approach to properly investigate IAQ. The authors develop an overarching framework encompassing a monitoring method, based on real-time sensors, a technological standard and a set of statistical analyses for the assessment of both IAQ performance and drivers, based on correlation analyses, analysis of variance and multivariate regressions.

The findings suggest that the main drivers of IAQ differ depending on the area monitored: areas in contact with the outdoors or with high ventilation rates, such as halls, are affected by outdoor air quality more than guestrooms or fitness areas, where human activities are the main sources of contamination.

The results suggest that the integration of IAQ indicators into control dashboards would support management decisions, both in defining protocols to support resilience of the sector in a postpandemic world and in directing investments on the premises. This would also address guests’ pressing demands for a broader approach to cleanliness and safety and support their satisfaction and intention to return.

To the best of the authors’ knowledge, this is the first study developing a comprehensive framework to systematically address IAQ and its drivers, based on a standard and real-time monitoring. The framework has been applied across the longest period of monitoring for a hospitality premise thus far and over an entire hotel facility.

The purpose of this paper is to investigate how different manufacturing technologies are bundled together and how these bundles influence operations performance and, indirectly, business performance. With the emergence of Industry 4.0 (I4.0) technologies, manufacturing companies can use a wide variety of advanced manufacturing technologies (AMT) to build an efficient and effective production system. Nevertheless, the literature offers little guidance on how these technologies, including novel I4.0 technologies, should be combined in practice and how these combinations might have a different impact on performance.

Using a survey study of 165 manufacturing plants from 11 different countries, we use factor analysis to empirically derive three distinct manufacturing technology bundles and structural equation modeling to quantify their relationship with operations and business performance.

Our findings support an evolutionary rather than a revolutionary perspective. I4.0 technologies build on traditional manufacturing technologies and do not constitute a separate direction that would point towards a fundamental digital transformation of companies within our sample. Performance effects are rather weak: out of the three technology bundles identified, only “automation and robotization” have a positive influence on cost efficiency, while “base technologies” and “data-enabled technologies” do not offer a competitive advantage, neither in terms of cost nor in terms of differentiation. Furthermore, while the business performance impact is positive, it is quite weak, suggesting that financial returns on technology investments might require longer time periods.

Relying on a complementarity approach, our research offers a novel perspective on technology implementation in the I4.0 era by investigating novel and traditional manufacturing technologies together.

This paper deals with network configurations in liner shipping and inland transportation from a carrier's perspective. The cost efficiency of different possible network configurations in the foreland-hinterland continuum is discussed based on a cost model and on a qualitative analysis. It is demonstrated that the tendency towards cargo concentration in a limited number of ports has led to the redesign of collection and distribution networks in the hinterland. Further cargo bundling in the foreland-hinterland continuum towards even fewer ports and inland centres is only interesting from a cost perspective if considerable economies of scale and density can be realised in the associated hinterland networks. The more cost efficient the network becomes, the less convenient that network could be for the shippers ' needs in terms of frequency and flex ibility. As such, the future configuration of liner shipping networks and inland transport networks will largely depend on the balance of power between carriers and shippers.

Security design of asset-backed securities (ABS) could affect the value of the ABS and that of the issuing firm as well when there exists an information asymmetry between insiders and outsiders of the firm, depending on the size of the assets sold. If the size is relatively small, the optimal security design will be such that the firm sells the risk-free, senior security (backed by the asset sold) to outsiders at a minimum size and retains the risky, subordinate security. If the size is large, the firm should sell outsiders both the risk-free security at a maximum size and the risky tranche at a minimum size. Meanwhile, if the firm has to sell an asset portfolio rather than an asset, the firm is better off by selling the portfolio through bundling the assets of the portfolio. It turns out that the bundling into senior and subordinate tranches is preferred to the bundling and selling to outsiders.

The purpose of this paper is to investigate and identify the price sensitivity of consumers of three- and five-star hotels and to determine the impact of bundling strategies on consumers’ price sensitivity.

To calculate price sensitivity, authors apply the van Westendorp’s price sensitivity meter (PSM). To understand the impact of bundling strategies, univariate and bivariate techniques are applied.

PSM results reveal the optimal prices and the range of acceptable prices for three- and five-star hotel. The bundling strategy results reveal that five-star customers are less sensitive to mixed-leader bundling. Regarding mixed-joint bundling, managers could improve sales through bundling strategies if they selected an attractive service (e.g. restaurants).

Findings assist hotel managers to understand the different price sensitivities, according to the hotel typology. Managers can manage prices without the risk of losing market share or revenue. The results help managers in deciding which bundling strategies they can create, as well as the services to be included to achieve highest profitability.

No research to date to the best of the authors’ knowledge has attempted to understand and compare the role of bundling strategies in three- and five-stars hotels. Moreover, no research has attempted to measure and compare customers’ price sensitivity of three- and five-stars hotels.

The purpose of this study is to investigate tourist in-destination consumption patterns in the context of bundled holiday packages in different resort categories to identify demand behavior that allows implementing profit-enhancing policies through attractive bundled offers for specific tourist segments.

This study relies on data gathered in a quasi-experiment to analyze differences in consumption patterns at resort bars over a two-year period (summer 2018 and 2019) before and after the introduction of an all-inclusive soft drinks package.

The findings inform on bundling strategies according to different degrees of price consciousness and resort category. In particular, guests in upscale resorts are more likely to under-consume items included in a pre-paid bundle and significantly engage in additional spending than economy resort guests.

The quasi-experiment provides the actual in-destination consumption patterns and offering managerial insights and tools to tailor the form and content of bundles according to resort category.

本研究的目的是调查游客目的地消费模式在不同度假村类别的捆绑度假套餐的背景调查及研究。本研究旨通过深入了解市场需求, 来针对特定游客细分市场提供对其具有吸引力的捆绑优惠, 目的是让完善定价决策, 从而达到更优化利润。

本研究依赖于通过准实验收集的数据, 该准实验侧重于分析度假村客人在两年期间（2018 年和 2019 年夏季）在推出全包无酒饮料套餐前后在度假村酒吧的消费模式的变化。

研究结果为如何根据度假村类别相关的不同价格意识程度来运用捆绑策略。到达目的地后, 高档度假村的客人更有可能对预购捆绑包中包含的物品消费不足, 并且与入住经济型度假村的游客相比, 大幅增加额外支出。

我们的准实验审查了几乎没有被研究学习过的客人在目的地的实际消费模式。本研究对有用的管理工具的认识有更进一步的贡献：捆绑包的内容重点应由经济度假村的从业人员精心设计; 而在高档度假村, 应该以混合捆绑作为捆绑策略的一种形式。

El objetivo de este estudio es investigar los patrones de consumo de los turistas en destino en el contexto de los paquetes vacacionales combinados en diferentes categorías de complejos turísticos. Esta investigación persigue la adquisición de un conocimiento profundo del comportamiento de la demanda que permita la aplicación de políticas de precios que aumenten los beneficios mediante la orientación de ofertas con paquetes atractivos a segmentos específicos de turistas.

El estudio actual se basa en los datos recogidos a través de un cuasi-experimento centrado en el análisis de las diferencias en los patrones de consumo de los huéspedes del resort en los bares del mismo durante un período de dos años (temporadas de verano 2018 y 2019), antes y después de la introducción de un paquete de refrescos con todo incluido.

Los resultados del estudio informan sobre cómo aprovechar las estrategias de agrupación según los diferentes grados de conciencia de los precios asociados a la categoría del complejo turístico considerado. Una vez que llegan al destino, los huéspedes de los complejos turísticos de categoría superior son más propensos a no consumir los artículos incluidos en un paquete precomprado y a realizar un gasto adicional significativo en comparación con los turistas alojados en complejos turísticos económicos.

Nuestro cuasi-experimento examina empíricamente las pautas de consumo reales de los huéspedes en el destino, que apenas han sido examinadas. Este estudio contribuye además al reconocimiento de herramientas de gestión útiles: los profesionales de los complejos turísticos económicos deberían diseñar cuidadosamente el enfoque del paquete en términos de su contenido, mientras que el paquete mixto como forma de estrategia de agrupación debería favorecerse en los complejos turísticos de alto nivel.

The authors propose a dairy bundle, integrating strategies to jointly maximise producer revenue and consumer utility according to the latter's preferences.

An algorithm based on a nested logit model identifies the bundle maximising producer revenue based on factors affecting consumer purchase behaviour. The data are drawn from a mall-intercept survey administered in Iran, with consumers stating a hypothetical choice among a comprehensive set of dairy products.

Demographic characteristics and marketing mix elements significantly affect consumers' preferences. An algorithm based on the estimated dissimilarity parameter determines the best bundle of dairy products, simultaneously obtaining the highest utility and the highest expected revenue.

Consumer preference and maximum producer or retail seller income are considered simultaneously. The bundling promotion strategy is widely used for food offerings and fresh foods and can be extended to other products.

我們擬根據消費者偏好，提出一個整合了多個策略的捆綁包，以使生產製作者得到最高的收入和最佳的消費者效用。

研究人員根據巢式Logit 模型的演算法確認了一個捆綁包，以使生產製作者能得到最高的收入，而這均建基於會影響消費者購買行為的各個因素。有關的數據取自於伊朗的商場內進行的攔截調查，而回應的消費者須假想他們從一整套乳製品中選擇他們會購買的產品。

研究結果顯示，人口特徵和市場營銷組合元素均會顯著地影響消費者的偏好，一個基於估算的相異性參數而建立的演算法可確認最佳的乳製品捆綁包，這演算法同時也可取得最佳的裨益和最高的預期收入。

於本研究中，研究人員同時考慮消費者的偏好和生產製作者或零售賣家的最高收入。捆綁式的促銷策略在食物供品和新鮮食品方面被廣泛使用，這策略可擴展至其他產品。

乳製品捆綁包、消費者偏好、最佳化演算法、巢式Logit 模型.

The COVID-19 pandemic has forced countries to consider how to reach vulnerable communities with extended outreach services to improve vaccination uptake. The authors created an optimization model to align with decision-makers' objective to maximize immunization coverage within constrained budgets and deploy resources considering empirical data and endogenous demand.

A mixed integer program (MIP) determines the location of outreach sites and the resource deployment across health centers and outreach sites. The authors validated the model and evaluated the approach in consultation with UNICEF using a case study from The Gambia.

Results in The Gambia showed that by opening new outreach sites and optimizing resource allocation and scheduling, the Ministry of Health could increase immunization coverage from 91.0 to 97.1% under the same budget. Case study solutions informed managerial insights to drive gains in vaccine coverage even without the application of sophisticated tools.

The research extended resource constrained LMIC vaccine distribution modeling literature in two ways: first, endogenous calculation of demand as a function of distance to health facility location enabled the effective design of the vaccine network around convenience to the community and second, the model's resource bundle concept more accurately and flexibly represented complex requirements and costs for specific resources, which facilitated buy-in from stakeholders responsible for managing health budgets. The paper also demonstrated how to leverage empirical research and spatial analysis of publicly available demographic and geographic data to effectively represent important contextual factors.