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The purpose of this paper is to introduce a three-echelon multimodal transportation problem applied to a humanitarian logistic case study that occurred in Mexico.

This study develops a methodology combining a transshipment problem and an adaptation of the multidepot heterogeneous fleet vehicle routing problem to construct a mathematical model that incorporates the use of land-based vehicles and drones. The model was applied to the case study of the Earthquake on September 19, 2017, in Mexico, using the Gurobi optimization solver.

The results ratified the relevance of the study, showing an inverse relationship between transportation costs and delivery time; on the flip side, the model performed in a shorter CPU time with medium and small instances than with large instances.

While the size of the instances limits the use of the model for big-scale problems, this approach manages to provide a good representation of a transportation network during a natural disaster using drones in the last-mile deliveries.

The present study contributes to a model that combines a vehicle routing problem with transshipment, multiple depots and a heterogeneous fleet including land-based vehicles and drones. There are multiple models present in the literature for these types of problems that incorporate the use of these transportation modes; however, to the best of the authors’ knowledge, there are still no proposals similar to this study.

Student transitions from secondary to tertiary education have attracted global attention as universities and colleges of higher education seek to improve student retention. Over the course of one academic year, I documented the transitional experiences of first-year male Emirati students at a college of higher education in a rural location of the United Arab Emirates (UAE). In this paper I describe four categories of cultural border crossing experiences – smooth, managed, difficult, and impossible – with easier and smoother crossing experiences associated with close congruency (related to the students’ self-perceived attitude and scholastic preparedness as broadly reflected in their competence in their second language, English) between the predominantly Arabic life-world associated with Emirati families and government schooling and the dominant Western/English language culture in institutes of higher education. Additionally, I describe and evaluate students’ cultural border crossing experiences with some Foundation program faculty, finding that those teachers who developed a classroom culture based on Kleinfeld’s (1975) notion of ‘warm demandingness’ and caring rapport-building appeared to have the most positive impact upon the students. Implications from this research have the potential to positively impact both the student and faculty classroom experience in the Gulf tertiary classroom, in addition to improving overall student retention rates.

The paper aims to introduce social marketing (SM) as a tool to overcome the low cultural participation, a problem of the arts and culture sector that has worsened in the post-pandemic scenario.

The study uses a multidisciplinary literature review (SM, museum marketing, museology and cultural policy) to address the problem of museums and other cultural heritage institutions, at both the macro-level (prevailing cultural policies and antecedents, barriers and consequences to cultural participation) and micro-level (challenges faced by museums in the 21st century and marketing as a management instrument).

The downstream, midstream and upstream approaches can be used to design and implement SM interventions intended to address the problem of low cultural participation in museums. The three approaches should be considered holistically, with their synergetic and recursive effects.

Due to its introductory and conceptual nature, the study provides a comprehensive intervention framework to be used as a platform for future theoretical and empirical research. Further investigations may expand on the specificities of each approach (down, mid and upstream) and extend the framework to other nonprofit cultural institutions beyond museums, such as libraries and archives, cultural heritage sites and theater, music and dance companies.

The paper proposes a comprehensive SM intervention framework that integrates three interdependent approaches (downstream, midstream and upstream).

The paper provides a starting point for the holistic application of SM in the arts and culture sector. It also encourages researchers, cultural policymakers and cultural heritage professionals to investigate, design and implement SM programs that better understand, expand and diversify the audience and strengthen the legitimacy and relevance of cultural actors and activities to transform them into inclusive, accessible and sustainable institutions.

The purpose of the paper is to explore the meaning of Human Resources (HR) analytics and introduce the HR analytics cycle as a proactive and systematic process for ethically gathering, analyzing, communicating and using evidence-based HR research and analytical insights to help organizations achieve their strategic objectives.

Conceptual review of the current state and meaning of HR analytics. Using the HR analytics cycle as a framework, the authors describe a seven-step process for building evidence-based and ethical HR analytics capabilities.

HR analytics is a nascent discipline and there are a multitude of monikers and competing definitions. With few exceptions, these definitions lack emphasis on evidence-based practice (i.e. the use of scientific research findings in adopting HR practices), ethical practice (i.e. ethically gathering and using HR data and insights) and the role of broader HR research and experimentation. More importantly, there are no practical models or frameworks available to help guide HR leaders and practitioners in doing HR analytics work.

The HR analytics cycle encompasses a broader range of HR analytics practices and data sources including HR research and experimentation in the context of social, behavioral and organizational science.

This paper introduces the HR analytics cycle as a practical seven-step approach for making HR analytics work in organizations.

Due to its fast growth, cross-border e-commerce (CBEC) is becoming a popular internationalization model, especially in those destination markets with impressive e-commerce development like China. However, CBEC also brings new logistics challenges and uncertainty. This paper aims to understand how companies cope with logistics uncertainty in this field and whether the different types of uncertainty influence the risk management strategies adopted to face them.

A survey targeting online exporters to China and third-party forwarding logistics service providers (3PFLs) is conducted. A structural equation model (SEM) analysis is performed to test the possible relationship between the adopted risk management strategies and the types of uncertainty. The type, industry and size of the company, as well as the distance between the company's home country and China, are used as control variables in the study. Survey results are enriched via interviews with some of the respondents.

The risk management strategies adopted are dependent on the type of logistics uncertainty that the companies face and, to a minor extent, on the industry the company operates in. Conversely, no significant influence is exerted by other types of control factors, i.e. home country, company size or company type.

The paper investigates logistics uncertainty and risk management approaches in the novel context of CBEC. A systematic review of relevant sources of uncertainty is offered to help both scholars and practitioners understand the current complexities of CBEC. From a theoretical perspective, the paper models the investigated concepts in light of the contingency approach. From a practical perspective, results can be of interest since the list of proposed items can support risk identification and evaluation while the interviews with managers can provide insights on risk management practices.

The purpose of this research is to identify the current reverse logistics practices adopted by soft drink companies and the prominent factors which can decide the efficiency and effectiveness of the entire process of the reverse logistics channel. The paper employs Pareto analysis and the Analytical Hierarchy Process (AHP) method on data collected from logistics professionals involved in the software industry in Sri Lanka using two questionnaires. As the prominent factors, transportation, accidents, packaging, a method of storage, the cleaning process and sorting process was identified and the first four prominent factors have a higher influence on both measures of efficiency and effectiveness. They can also identify the external factors which can emerge inefficiencies due to outsourced dealers. Lack of previous literature on the subject matter and the difficulty to access the filed data were the main limitations of this study. The identified factors will help to identify the correct root causes for the inefficiencies of the current reverse logistics practices and concentrating on these factors will give an opportunity for the soft drink industry players to successfully implement a sustainable green supply chain which reduces waste at each stage of its forwards and reverse logistics process. Transportation, Accidents, Packaging, and Storage have been previously identified as considerations in reverse logistics processes and the current study showed that they have a higher impact on both efficiency and effectiveness on reverse logistics and these factors should be given specific consideration while in the operations.

Sustainable tourism is becoming more popular all over the world. Eco-friendly (green) hotels are properties that are friendly to the environment and are becoming increasingly popular among green travellers. Electronic word-of-mouth is a technique of communicating with consumers in order to share their experiences, and it is a significant marketing tool for hotels. This paper aims to identify the main themes shared in online reviews by tourists visiting eco-friendly hotels, and which of these themes were associated with satisfaction and dissatisfaction ratings.

The research used qualitative content analyses to analyse 1,202 user-generated content of the top 10 hotels in UK shared by guests on an online platform.

The analyses revealed nine themes in descriptions of airline travel experiences. These are “hotel amenities”, “services”, “location”, “staff”, “eco” (eco-friendly activities), “value” and “recommend/revisit” (intentions). Negative comments are associated with the “bathroom”, “mattress”, “water”, “bed”, “price”, “shower”, “Wi-Fi” and “restaurant” concepts.

This study differs from previous research in which it aims to address a void in the literature on the shortcomings of research focused on finding the dominant themes expressed in online reviews by tourists visiting eco-friendly hotels, and it does so using data mining approach.

This study aims to examine the most influential drivers, both product-specific and consumer-specific, affecting Asian consumers' willingness to pay (WTP) for organic olive oil.

To individuate the most influential drivers of WTP for organic products and to assess their effect, in terms of configurational paths and consumer profiles, this study sequentially employs explorative factor analysis approach and a fuzzy-set qualitative comparative analysis method. The survey is carried out in different areas of Asia (e.g. Pakistan, Vietnam and China).

The results suggest that Asian consumers' WTP for organic products is described by consumer-specific drivers (gender, occupation and household size) as well as product-specific drivers (product authenticity and sustainability, consumer ethnocentrism and food fraud risk perception).

The findings of the study permit the identification of different drivers that move consumers' WTP for organic olive oil. The study contributes to setting the ground for companies to propose and implement efficacious marketing strategies for organic olive oil in importing countries, such as Asia.

In the last years the penetration of enterprise resource planning (ERP) systems within small, medium and large organizations increased steadily. Organizations are forced to adapt their systems and perform ERP upgrades in order to react to rapidly changing business environments, technological enhancements and rising pressure of competition. The purpose of this paper is to focus on the critical success factors for such projects.

The paper is based on a literature review and qualitative interviews with CEOs, CIOs, ERP consultants and project managers who recently carried out ERP upgrade projects in their respective organizations.

This paper identifies 14 critical success factors for ERP upgrade projects. Amongst others, effective project management, external support, the composition of the ERP team and the usage of a multiple system landscape play a key role for the success of the ERP upgrade. Furthermore, a comparison to the critical success factors for ERP implementation projects was conducted, and even though there are many similarities between these types of projects, several differences emerged.

ERP upgrade projects have a huge impact on organizations, but their success and antecedents for it are currently under-researched.

This study aims to increase the understanding of the emergence of a values-based (VB) premium private label (PL) brand reputation within a multiple-tier PL brand portfolio in retailing.

By building on the research on PLs, brand image, brand reputation and consumer values, this study creates a conceptual foundation for the emergence of VB PL brand reputation within a multiple-tier brand portfolio among consumers and examines the emergence of such reputation empirically using interpretive exploratory qualitative laddering interviews in the context of fast-moving consumer goods.

The findings of this study illustrate that the VB reputations of the premium PL product brand and the PL brand store intertwine, ultimately relating to two terminal values: pleasure and doing good. These reputations differ remarkably from the VB reputations of the economy PL brand and the umbrella brand of the retail chain (not doing good and financial security).

This study explains the emergence of VB brand reputation within a multiple-tier brand portfolio and introduces the use of the laddering technique in such research.

This study reminds brand managers to carefully design the relevant brand strategy for brands and their relationships under a brand umbrella.

Although much is known about PL brands and brand reputation, to the best of the authors’ knowledge, this study might be the first to increase the understanding of how a VB premium PL brand reputation emerges and accumulates from brand images within a multiple-tier brand portfolio.