Measurement of Service Quality in Trade Fair Organization

The success of a trade fair depends on the close collaboration between organizers and exhibitors with potential visitors. While the literature has invested a great deal of interest in the role of the exhibitor and, to a lesser extent, to the visitor, scarce attention has been paid to the vital role played by the fair organizer. The present work analyzes the latter and their importance to the success of a trade fair, which is measured by the quality of the services offered to exhibitors. Using a sample of exhibitors at an International Spanish trade fair, regression analysis is used to examine, at the exploratory level, some quality aspects linked to organizers that can affect the fulfillment of objectives established by exhibitors prior to attending a fair. The results obtained reveal that two dimensions of quality linked to the organizer (event design and quality of results) highly correlate with the final perceptions of exhibitors, and that their deficient quality level prevents the exhibitors from reaching their fair goals

Creación de Materiales Didácticos para Trabajos Fin de Estudios en Gestión de la Cadena de Suministro

[EN] This work pretends to show the creation of a set of tools that facilitate the practical approaching in the development of graduate work (GW) in areas related to supply chain and operations management. Particularly, it is proposed the creation of four main tools: a protocol of action for the development of GW, schedule for preparation and following-up, a guide of the content to be developed to obtain, and a digital platform as a support. Students that have made use of these tools have shown their satisfaction and the usefulness to develop their GW.De Burgos-Jiménez, J.; Jiménez-Guerrero, JF.; Tarifa-Fernández, J. (2017). Creation of Didactic Materials for Dissertation in Supply Chain Management. Working Papers on Operations Management. 8(SP):19-26. doi:10.4995/wpom.v8i0.7107SWORD19268S

Consumer Preferences for Olive-Oil Attributes: A Review of the Empirical Literature Using a Conjoint Approach

During the last decade, olive oil consumption has experienced a major breakthrough in the world, not only in producing countries but also among those who are not. Undoubtedly, this growth in consumption is a consequence of the consolidation of a cultural phenomenon established between the main producing countries (Spain, Italy and Greece), owing to the so-called Mediterranean diet1; a food concept that provides important health benefits and of which olive oil is one of the main components. The recent recognition of United Nations Educational, Scientific and Cultural Organization (UNESCO) — it has declared to the Mediterranean diet ‘the intangible cultural heritage of humanity’— offers promising perspectives for the Mediterranean diet in the coming years..

Alternative Proposals to Measure Consumer Ethnocentric Behavior: A Narrative Literature Review

CETSCALE (Consumer Ethnocentrism Tendencies Scale), the scale developed by Shimp and Sharma in 1987 to study consumer ethnocentric behavior, has received preferential use in the literature, with numerous replications carried out in countries on all continents. Although it was proposed as a 17-item scale along with a smaller version of only ten items, studies that use only a part of these have been become increasingly common. To some extent, this practice responds to the multidimensional behavior of CETSCALE, as can be widely confirmed. It is for this reason that a growing consensus is in favor of reviewing the scale as a tool to measure ethnocentrism, made evident by the appearance of new alternative scales. CEESCALE and CES are two of the most recent proposals, which were developed with a similar number of items but grouped into a number of clearly defined dimensions, providing more robust results

Considering the consumer in the design of a supply chain of perishables

Customer satisfaction, contrary to a manufacturer based approach, is considered a key factor in the business strategy of many companies and in supply chain management. However, focusing on the consumer requires an analysis of the preference structure, which is something that conditions supply chain strategy. In this work we carry out a customer segmentation of a perishable product in order to identify different profiles, depending on their needs and preferences, which may allow the study of differentiated supply chain strategy. Thus, taking consumer satisfaction, we propose a differentiated supply chain approach depending on the segment which the company intends to address. In parallel and from a theoretical point of view, this approach represents a first step toward introducing the concept of responsible innovation in the study of supply chain management

Addressing the Location Problem of a Perishables Redistribution Center in the Middle of Europe

This work aims to contribute to the debate on practical utilization of different location models for consolidation, redistribution, and repackaging centers in a supply chain to optimize shipments, thereby reducing food loss and waste, within the framework of quality of customer service improvement. The scenario in question is the creation of a redistribution center for highly perishable products (fruits and vegetables) from southeast Spain—the leading European supplier—for customers throughout Europe. It is estimated that 10% of exports (more than 530,000 metric tons) from this area are returned by customers due to minor defects. These products cannot be reused and are therefore wasted. Regarding the methodology, comparisons were made between the p-median, gravity p-median, and p-center models. Scenarios of change in demand and randomness in distances were also tested. In addition, the modelling used included the cost and time within a multicriteria optimization framework to assess the possibility of a transport mode change. It was observed, for example, that the gravity p-median model proved useful for perishable products and the logistics strategy chosen. Furthermore, the p-median model displayed strong robustness against long-term changes in demand and random distances. In general, it was demonstrated that this strategy would successfully reduce the response time and distance of shipment from the distribution center to the customers and thereby improve sustainability of the service, reducing the waste related to direct shipments. Furthermore, this research also demonstrated the difficulty of using intermodality in this context, mainly due to transit time, which would undoubtedly increase the waste generate

Addressing the Location Problem of a Perishables Redistribution Center in the Middle of Europe

This work aims to contribute to the debate on practical utilization of different location models for consolidation, redistribution, and repackaging centers in a supply chain to optimize shipments, thereby reducing food loss and waste, within the framework of quality of customer service improvement. The scenario in question is the creation of a redistribution center for highly perishable products (fruits and vegetables) from southeast Spain—the leading European supplier—for customers throughout Europe. It is estimated that 10% of exports (more than 530,000 metric tons) from this area are returned by customers due to minor defects. These products cannot be reused and are therefore wasted. Regarding the methodology, comparisons were made between the p-median, gravity p-median, and p-center models. Scenarios of change in demand and randomness in distances were also tested. In addition, the modelling used included the cost and time within a multicriteria optimization framework to assess the possibility of a transport mode change. It was observed, for example, that the gravity p-median model proved useful for perishable products and the logistics strategy chosen. Furthermore, the p-median model displayed strong robustness against long-term changes in demand and random distances. In general, it was demonstrated that this strategy would successfully reduce the response time and distance of shipment from the distribution center to the customers and thereby improve sustainability of the service, reducing the waste related to direct shipments. Furthermore, this research also demonstrated the difficulty of using intermodality in this context, mainly due to transit time, which would undoubtedly increase the waste generated

Clustering COVID-19 ARDS patients through the first days of ICU admission. An analysis of the CIBERESUCICOVID Cohort

Background Acute respiratory distress syndrome (ARDS) can be classified into sub-phenotypes according to different inflammatory/clinical status. Prognostic enrichment was achieved by grouping patients into hypoinflammatory or hyperinflammatory sub-phenotypes, even though the time of analysis may change the classification according to treatment response or disease evolution. We aimed to evaluate when patients can be clustered in more than 1 group, and how they may change the clustering of patients using data of baseline or day 3, and the prognosis of patients according to their evolution by changing or not the cluster.Methods Multicenter, observational prospective, and retrospective study of patients admitted due to ARDS related to COVID-19 infection in Spain. Patients were grouped according to a clustering mixed-type data algorithm (k-prototypes) using continuous and categorical readily available variables at baseline and day 3.Results Of 6205 patients, 3743 (60%) were included in the study. According to silhouette analysis, patients were grouped in two clusters. At baseline, 1402 (37%) patients were included in cluster 1 and 2341(63%) in cluster 2. On day 3, 1557(42%) patients were included in cluster 1 and 2086 (57%) in cluster 2. The patients included in cluster 2 were older and more frequently hypertensive and had a higher prevalence of shock, organ dysfunction, inflammatory biomarkers, and worst respiratory indexes at both time points. The 90-day mortality was higher in cluster 2 at both clustering processes (43.8% [n = 1025] versus 27.3% [n = 383] at baseline, and 49% [n = 1023] versus 20.6% [n = 321] on day 3). Four hundred and fifty-eight (33%) patients clustered in the first group were clustered in the second group on day 3. In contrast, 638 (27%) patients clustered in the second group were clustered in the first group on day 3.Conclusions During the first days, patients can be clustered into two groups and the process of clustering patients may change as they continue to evolve. This means that despite a vast majority of patients remaining in the same cluster, a minority reaching 33% of patients analyzed may be re-categorized into different clusters based on their progress. Such changes can significantly impact their prognosis

Treatment with tocilizumab or corticosteroids for COVID-19 patients with hyperinflammatory state: a multicentre cohort study (SAM-COVID-19)

Objectives: The objective of this study was to estimate the association between tocilizumab or corticosteroids and the risk of intubation or death in patients with coronavirus disease 19 (COVID-19) with a hyperinflammatory state according to clinical and laboratory parameters. Methods: A cohort study was performed in 60 Spanish hospitals including 778 patients with COVID-19 and clinical and laboratory data indicative of a hyperinflammatory state. Treatment was mainly with tocilizumab, an intermediate-high dose of corticosteroids (IHDC), a pulse dose of corticosteroids (PDC), combination therapy, or no treatment. Primary outcome was intubation or death; follow-up was 21 days. Propensity score-adjusted estimations using Cox regression (logistic regression if needed) were calculated. Propensity scores were used as confounders, matching variables and for the inverse probability of treatment weights (IPTWs). Results: In all, 88, 117, 78 and 151 patients treated with tocilizumab, IHDC, PDC, and combination therapy, respectively, were compared with 344 untreated patients. The primary endpoint occurred in 10 (11.4%), 27 (23.1%), 12 (15.4%), 40 (25.6%) and 69 (21.1%), respectively. The IPTW-based hazard ratios (odds ratio for combination therapy) for the primary endpoint were 0.32 (95%CI 0.22-0.47; p < 0.001) for tocilizumab, 0.82 (0.71-1.30; p 0.82) for IHDC, 0.61 (0.43-0.86; p 0.006) for PDC, and 1.17 (0.86-1.58; p 0.30) for combination therapy. Other applications of the propensity score provided similar results, but were not significant for PDC. Tocilizumab was also associated with lower hazard of death alone in IPTW analysis (0.07; 0.02-0.17; p < 0.001). Conclusions: Tocilizumab might be useful in COVID-19 patients with a hyperinflammatory state and should be prioritized for randomized trials in this situatio

The evolution of the ventilatory ratio is a prognostic factor in mechanically ventilated COVID-19 ARDS patients

Background: Mortality due to COVID-19 is high, especially in patients requiring mechanical ventilation. The purpose of the study is to investigate associations between mortality and variables measured during the first three days of mechanical ventilation in patients with COVID-19 intubated at ICU admission. Methods: Multicenter, observational, cohort study includes consecutive patients with COVID-19 admitted to 44 Spanish ICUs between February 25 and July 31, 2020, who required intubation at ICU admission and mechanical ventilation for more than three days. We collected demographic and clinical data prior to admission; information about clinical evolution at days 1 and 3 of mechanical ventilation; and outcomes. Results: Of the 2,095 patients with COVID-19 admitted to the ICU, 1,118 (53.3%) were intubated at day 1 and remained under mechanical ventilation at day three. From days 1 to 3, PaO2/FiO2 increased from 115.6 [80.0-171.2] to 180.0 [135.4-227.9] mmHg and the ventilatory ratio from 1.73 [1.33-2.25] to 1.96 [1.61-2.40]. In-hospital mortality was 38.7%. A higher increase between ICU admission and day 3 in the ventilatory ratio (OR 1.04 [CI 1.01-1.07], p = 0.030) and creatinine levels (OR 1.05 [CI 1.01-1.09], p = 0.005) and a lower increase in platelet counts (OR 0.96 [CI 0.93-1.00], p = 0.037) were independently associated with a higher risk of death. No association between mortality and the PaO2/FiO2 variation was observed (OR 0.99 [CI 0.95 to 1.02], p = 0.47). Conclusions: Higher ventilatory ratio and its increase at day 3 is associated with mortality in patients with COVID-19 receiving mechanical ventilation at ICU admission. No association was found in the PaO2/FiO2 variation