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Culinary or gastronomy tourism has become a rising issue nowadays. People want to discover new flavour while travelling. Food consumption is the combination of one\"s cultural, social, psychological and sensory acceptance factors and it is a very complex decision-making process. Food consumption is also associated with motivational factors which are mood, health, sensory appeal, familiarity, convenience, price and natural content. The antecedents of tourist food consumption and food choice motives of foreign tourists in Istanbul were examined. The results show that sensory appeal, mood, natural content, health content and convenience had positive and direct connection with tourist food consumption intentions. There is no statistically significant evidence to support the associations of familiarity and price with the tourist food consumption intentions.

La actividad económica se produce en un entorno cambiante y globalizado. Así, las decisiones empresariales que se toman en un contexto competitivo y con información asimétrica se basan, principalmente, en elementos cuantitativos que, a partir de modelos de decisión, permiten obtener información que facilitan la optimización de estas decisiones. Este estudio tiene como objetivo analizar la producción científica y las tendencias de investigación sobre la toma de decisiones basadas en métodos cuantitativos. Para esto, se aplicaron técnicas bibliométricas a una muestra de 1.143 artículos del período 1967-2019 obtenida de la base de datos Scopus. Se utilizó la herramienta de software VOSviewer para construir y visualizar redes bibliométricas. La finalidad fue reconocer las disciplinas y la evolución de estas áreas de interés, además de identificar las redes por coautoría de los principales autores, instituciones de investigación y países, y la red de palabras clave por coocurrencia, mediante la aplicación de técnicas de visualización. Se comprueba el interés de este campo de investigación en la comunidad investigadora, con índices óptimos de publicación y colaboración entre sus agentes impulsores., Economic activity occurs in a changing and globalized environment. Thus, business decisions that are made in a competitive context and with asymmetric information are based, mainly, on quantitative elements that, based on decision models, allow information to be obtained that facilitate the optimization of these decisions. This study aims to analyse scientific production and research trends on decision-making based on quantitative methods. For this, bibliometric techniques were applied to a sample of 1,143 articles from the 1967-2019 period obtained from the Scopus database. The VOSviewer software tool was used to build and visualize bibliometric networks. The purpose was to recognize the disciplines and the evolution of these areas of interest, in addition to identifying the networks by co-authorship of the main authors, research institutions and countries, and the network of keywords by co-occurrence, through the application of visualization techniques. The interest of this field of research in the research community is verified, with optimal rates of publication and collaboration among its driving agents., Universidad Pablo de Olavide

The number of cases of Covid-19 in this pandemic era is increasing and getting out of control every day. This triggers the Indonesian government to set policies on schools with online learning methods. Of course, online learning cannot ensure that it runs smoothly in all circles because several factors hinder the learning process. The difficulty of the internet network, limited quotas, unfamiliarity with the use of learning media, and an unsupportive environment for conducting online learning are the obstacles to ineffective online learning. The purpose of this study was to determine the level of satisfaction with online learning during the pandemic. This study uses quantitative research methods with a descriptive approach. Quantitative research methods will be processed into data mining using the K-Means Clustering Algorithm. The clustering process is carried out to get the results of clustering the level of student satisfaction. The dataset was obtained from the results of the questionnaire by submitting statements of satisfaction and dissatisfaction. The cluster type is based on high, medium, and low class. The test results obtained a value with the final iteration, namely the level of satisfied statements is categorized as high with a value of 11.79 compared to the dissatisfied statement, which is categorized as moderate with a value of 7.46. In contrast, for the low category level, there is no value of 0.00 cluster results state that the category is satisfied with online learning with a value of 9.33.

This article is devoted to the diagnosis of problems arising from risk management obligations under the safety management system implemented in civil organisations of certified air operators (carriers). Focus was on the use of quantitative methods in safety risk analysis. The idea of an approach to determine the probability of accidents and serious incidents based on the intensity of symptoms with lower consequences and risk factors as a function of time or number of performed air operations was proposed, based on Markov discrete processes [6,10-12,16]. The essence of this approach is explained by the mathematical model of Runway Excursion probability during landing operations. The concept of improvement of operators' cooperation in the exchange of information about safety indicators by profiling the organisation was presented. The last proposal concerns the construction of a comprehensive risk assessment indicator using a safety risk matrix.

Teknoloji ve küreselleşmenin etkisiyle hava yolu taşımacılığı ciddi bir önem kazanmış, artan talep doğrultusunda her geçen gün rekabet daha da artmıştır. Hava yolu pazarında kendine yer bulmak ve rekabette güçlü olmak için, firmaların tüketici ihtiyaç ve isteklerini göz önünde bulundurmaları en birincil şartlardandır. Sürekli değişen ve gelişen bu sektörde yalnızca teknik bağlamda ilerlemek tek başına yeterli olmayacaktır. Merkezinde \"insan\" olan bu sektörde müşteri isteklerini dikkate almak kaçınılmazdır. Bu bağlamda, bu çalışmada ilk hedef, Analitik Hiyerarşi Süreci (AHP) kullanarak müşterilerin hava yolu şirketi seçerken hangi kriterlere hangi ölçüde dikkat ettiğini bulmaktır. Çalışmanın devamındaki amaç ise, TOPSIS ve VIKOR yöntemleri kullanılarak, karşılaştırmalı olarak bu kriterler doğrultusunda tüketicilerin gözünden hangi hava yolu şirketinin en iyi performansa sahip olduğunu bulmaktır. Bu amaç doğrultusunda literatür dikkate alınarak seçilen yedi kritere göre Türkiye’de uluslararası olarak faaliyet gösteren beş hava yolu şirketi değerlendirmeye alınmıştır. Air transportation has gained importance with the influence of technology and globalization, and competition has increased day by day in line with the increasing demand. In order to increase the market share, continue sustainable development and being strong in the airline market, one of the primary requirements the companies should consider is consumer needs and wishes. In this constantly changing and evolving sector, advancing in just technical context will not be enough. It is inevitable to consider customer requests in this sector which is \"humankind\" in its center. The first objective of this study is to weight criteria when selecting the airline company in customers’ perspective using the Analytical Hierarchy Process (AHP). The following objective is to find out the best performed airline company by using TOPSIS and VIKOR methods in comparison with these criteria. In accordance with these objectives five airline companies internationally active in Turkey were evaluated depending on the seven criteria selected considering the literature.

Residents of long-term care (LTC) whose deaths are imminent are likely to trigger a transfer to the emergency department (ED), which may not be appropriate. Using data from an observational study, we employed structural equation modeling to examine relationships among organizational and resident variables and death during transitions between LTC and ED. We identified 524 residents involved in 637 transfers from 38 LTC facilities and 2 EDs. Our model fit the data, (χ2 = 72.91, df = 56, p = .064), explaining 15% variance in resident death. Sustained shortness of breath (SOB), persistent decreased level of consciousness (LOC) and high triage acuity at ED presentation were direct and significant predictors of death. The estimated model can be used as a framework for future research. Standardized reporting of SOB and changes in LOC, scoring of resident acuity in LTC and timely palliative care consultation for families in the ED, when they are present, warrant further investigation.

This study addresses stratification in the global higher education research community and the changing geography of country affiliations in six elite journals. The distribution of country affiliations is analyzed from a longitudinal perspective (1996–2018), and full-time and part-time authors in the field are contrasted. The prestige maximization model and principal-agent theory provide the theoretical framework for the study, which examines 6334 articles published in six elite journals in the context of 21,442 articles in 41 core journals. The findings indicate that about 3.3% of academics have authored at least five articles (full-timers). These authors constitute the publishing core of the research community, while the 80% who have authored one article (part-timers) constitute its periphery.Higher Education(HE) andStudies in Higher Education(SHE) emerge as elite global journals, with an increasing share of non-Anglo-Saxon authors. Previously globally invisible countries became visible almost exclusively through HE and SHE. Global trends include the diminishing role of American researchers and the increasing role of researchers from Continental Europe, East Asia, and the cluster of 66 “other” countries. The single biggest affiliation loser is the United States, which had 42.5% of country affiliations in 1996–2003 but only 26.9% in 2012–2018. This reflects both the increasing share of non-American affiliations and the increasing yearly volume of HE and SHE publications, in which US academics tend not to publish massively.

The purpose of this paper is to analyse the application of Social Network Analysis (SNA) to the Italian tourism system. The research question is: do relationships among tourist enterprises affect t...

Purpose The purpose of this paper is to provide an overview of how quantitative analysis methods have been and can be used to improve the competitiveness of tourism destination. The focus of the study is social network analysis (SNA). Design/methodology/approach The research methodology is qualitative and consists of the review literature relevant to this thesis. This methodology is necessary to give an account of the methods and the techniques adopted for the data collection used in other economic sectors. Findings SNA is needed to analyze the creation and configuration of communities of practice within destination and to identify possible barriers to effective interaction. Essentially, it is a complex adaptive socio-economic system. It shares many (if not all) of the characteristics usually associated with such entities, namely, non-linear relationships among the components, self-organization and emergence of organizational structures, robustness to external shocks. Research limitations/implications The most important limit of this paper is that all the results presented here do not concern a single case study. Future research studies will provide a larger number of cases and examples to give the necessary validation to the findings presented here. Practical implications This paper provides a view into the network of relationships that may give tourism organization managers a strong leverage to improve the flow of information and to target opportunities where this flow may have the most impact on regulatory or business activities. Originality/value SNA can help to detect actual expertise and consequently project the potential losses deriving from an inefficient flow of knowledge. In addition, the authors will be able to define roles in the organizational networks and make an evaluation of informal organizational structures over the formal ones. Traditional organizational theories lack a concrete correspondence with mathematical studies and in this respect the authors sought to identify a correspondence.

Measles infection is of substantial interest to immunologists due to its paradoxical interaction with the immune system. After the acquisition of the measles infection, secondary infection plays a pivotal role in measles-related deaths. A cross-sectional study conducted between December 2018 and July 2019 is presented here. A total of one hundred children of both genders presented with measles complications were included following WHO criteria. Measles confirmation was done by quantitative determination of anti-measles antibodies (IgM) in patients' sera while patient-related demographic data, vaccination status, and other clinical information were obtained on a separate form. The number of female patients (52%) slightly exceeded the number of males (48%). 43% of patients' parents were illiterate, and half of the patients (50%) were from a poor background. The majority of children (76%) who presented with the complications did not receive a measles vaccine. 56% of children were breastfed while 58% received vitamin A supplements but developed complications. The elevated levels of anti-measles IgM were observed in 77% of cases. In both genders, the major complications were pneumonia, lower respiratory tract infection (LRTI), acute diarrhea, diarrhea and LRTI, pneumonia and diarrhea, otitis media and pneumonia, myocarditis and LRTI, and pneumothorax. The majority of the infected children (n = 48) under 12 months of age had associated complications. It has been observed that the measles virus strikes early age children in the northwestern region of Pakistan, which is an alarming situation and is associated with the aforementioned complications, especially in unvaccinated children. Anti-measles IgM is an important serological parameter for early diagnosis of measles infection. Measles infection is of substantial interest to immunologists due to its paradoxical interaction with the immune system. After the acquisition of the measles infection, secondary infection plays a pivotal role in measles-related deaths. A cross-sectional study conducted between December 2018 and July 2019 is presented here. A total of one hundred children of both genders presented with measles complications were included following WHO criteria. Measles confirmation was done by quantitative determination of anti-measles antibodies (IgM) in patients’ sera while patient-related demographic data, vaccination status, and other clinical information were obtained on a separate form. The number of female patients (52%) slightly exceeded the number of males (48%). 43% of patients’ parents were illiterate, and half of the patients (50%) were from a poor background. The majority of children (76%) who presented with the complications did not receive a measles vaccine. 56% of children were breastfed while 58% received vitamin A supplements but developed complications. The elevated levels of anti-measles IgM were observed in 77% of cases. In both genders, the major complications were pneumonia, lower respiratory tract infection (LRTI), acute diarrhea, diarrhea and LRTI, pneumonia and diarrhea, otitis media and pneumonia, myocarditis and LRTI, and pneumothorax. The majority of the infected children (n = 48) under 12 months of age had associated complications. It has been observed that the measles virus strikes early age children in the northwestern region of Pakistan, which is an alarming situation and is associated with the aforementioned complications, especially in unvaccinated children. Anti-measles IgM is an important serological parameter for early diagnosis of measles infection.

Reporting of the results of routine laboratory blood culture tests to clinicians is vital to the patients' early treatment. This study aimed to perform identification and antibiotic susceptibility tests of the blood cultures showing positive signals of microbial growth in the first 12 hours of incubation by using centrifugation and Gram staining of 5 ml of liquid from the vial, thus achieving faster results. This study included 152 consecutively incubated blood culture samples showing positive microbial growth signals in the first 12 hours. The samples were centrifuged and then categorized into two groups (Gram-positive and Gram-negative) using Gram staining. Identification and antibiotic susceptibility tests were performed using an automated culture antibiogram device. For routine processing, media inoculated with positive blood culture were kept in the incubator for at least 24 hours. To compare the two methods in terms of the bacteria identification, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) of the growing colony was studied. By Gram staining, the same bacterial strains were obtained for 138 (92%) of the 152 samples, similar to the results of the procedures mentioned earlier. With the samples tested with both methods, the antibiotic susceptibility profiles were compared using the antibiogram results for 1,984 samples that underwent the antibiotic testing. A 97.4% (for 1,934 antibiotic susceptibility assays) agreement was observed between the two methods. Comparing the results of the post-centrifugation Gram staining to those obtained for the specimens using routine procedures, the clinicians reported a high success rate (approximately 97%). Reporting of the results of routine laboratory blood culture tests to clinicians is vital to the patients’ early treatment. This study aimed to perform identification and antibiotic susceptibility tests of the blood cultures showing positive signals of microbial growth in the first 12 hours of incubation by using centrifugation and Gram staining of 5 ml of liquid from the vial, thus achieving faster results. This study included 152 consecutively incubated blood culture samples showing positive microbial growth signals in the first 12 hours. The samples were centrifuged and then categorized into two groups (Gram-positive and Gram-negative) using Gram staining. Identification and antibiotic susceptibility tests were performed using an automated culture antibiogram device. For routine processing, media inoculated with positive blood culture were kept in the incubator for at least 24 hours. To compare the two methods in terms of the bacteria identification, matrix‐assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI‐TOF MS) of the growing colony was studied. By Gram staining, the same bacterial strains were obtained for 138 (92%) of the 152 samples, similar to the results of the procedures mentioned earlier. With the samples tested with both methods, the antibiotic susceptibility profiles were compared using the antibiogram results for 1,984 samples that underwent the antibiotic testing. A 97.4% (for 1,934 antibiotic susceptibility assays) agreement was observed between the two methods. Comparing the results of the post-centrifugation Gram staining to those obtained for the specimens using routine procedures, the clinicians reported a high success rate (approximately 97%).

In the decision theory, there are many useful tools for operations in logistics and Supply Chain Management (SCM). One of the vital trivets of logistics operations is warehouse management which is also one of the parts of a supply chain. Deciding on the location of a warehouse has a critical issue especially during an outbreak. In this study, we aimed that to figure out differences between the perceived importance of the considered criteria in the decision process regarding warehouse location in the medical sector in terms of the changing dynamics after the Covid-19 pandemic. Pursuing this goal, the results of a preliminary study which was resulted from the gathered data of a decision-making group including industry professionals before the pandemic outbreak were accepted as an anchor to obtain a comparison with the current state. To construct a proper representation of the post-Covid state, a similar methodology was used, and similar decisionmakers data were collected with the preliminary study in the identification of the importance figures and causal relationships between criteria. According to comparative results of pre-and post-Covid studies, it is found that there are significant changes in the perceived role of adjacency to target markets and customs criteria in medical warehouse location decisions. It is obvious that the results will shed light on medical sector professionals’ decision process while adapting to the current pandemic conditions.

Background: There is a lack of information on how maternal stress coping styles during admission of the newborn to the neonatal intensive care unit (NICU) influences the onset of the postpartum depression (PPD). We examined potential risk factors for the emergence of the PPD in mothers whose infants were admitted to the NICU. Methods: A cross-sectional study was conducted on 401 mothers, 125 were mothers whose infants were admitted to the NICU and 276 mothers without NICU care. Newborn illness severity information score was taken throughout NICU admission via the Clinical Risk Index for Babies (CRIB). Six weeks after giving birth, participants from both groups individually completed the Edinburg Postnatal Depression Scale (EPDS), the Postpartum Bonding Questionnaire (PBQ) and the Coping Strategies Inventory (CSI) using an online platform. Results: No differences were found regarding PPD and bonding in either groups. Multivariate analysis provided a final model in which cognitive restructuring, problem avoidance, severity of neonatal health problems during the first 12 hours of life, and problem solving were the best predictors of postpartum depression explaining, 43.7% of the variance in the NICU group. Conclusion: It is necessary to obtain early detailed information on coping styles in the NICU environment to prevent the possible onset of PPD. © 2020 Society for Reproductive and Infant Psychology.

Background: Although provider-derived surgical complication severity grading systems exist, little is known about the patient perspective. Objective: To assess patient-rated complication severity and determine concordance with existing grading systems. Methods: A survey asked general surgery patients to rate the severity of 21 hypothetical postoperative events representing grades 1 to 5 complications from the Accordion Severity Grading System. Concordance with the Accordion scale was examined. Separately, descriptive ratings of 18 brief postoperative events were ranked. Results: One hundred sixty-eight patients returned a mailed survey following their discharge from a general surgery service. Patients rated grade 4 complications highest. Grade 1 complications were rated similarly to grade 5 and higher than grades 2 and 3 ( P ≤ .01). Patients rated one event not considered an Accordion scale complication higher than all but grade 4 complications ( P < .001). The brief events also did not follow the Accordion scale, other than the grade 6 complication ranking highest. Conclusion: Patient-rated complication severity is discordant with provider-derived grading systems, suggesting the need to explore important differences between patient and provider perspectives.

Torben Holvad is Analysis Team Leader at the European Union Agency for Railways (France). He obtained Economics degrees from Copenhagen University (MSc) and the European University Institute in Florence (PhD). He has more than 30 years of experience in applied economic analysis. His skills and expertise correspond to backgrounds like: Quantitative methods, Data Envelopment Analysis, Impact Assessment, Cost Benefit Analysis, Transport Economics, Multicriteria analysis, Economics of regulation, Data analysis, Health economics., rben Holvad es líder del equipo de análisis en la Agencia de Ferrocarriles de la Unión Europea (Francia). Obtuvo un título en Economía de la Universidad de Copenhague (MSc) y el Instituto Universitario Europeo de Florencia (PhD). Tiene más de 30 años de experiencia en análisis económico aplicado. Sus habilidades y experiencia se corresponden con antecedentes como: métodos cuantitativos, análisis envolvente de datos, evaluación de impacto, análisis de costo-beneficio, economía del transporte, análisis multicriterio, economía de la regulación, análisis de datos, economía de la salud.

The health sector plays an important role in the delivery of high‐quality nutrition interventions to women and children in low‐ and middle‐income countries (LMICs). However, there are no standardized approaches to defining and measuring nutrition service quality in these contexts. This study aims to systematically develop quality of care indices for direct health systems nutrition interventions using a five‐step process: (1) identify recommended interventions for inclusion in indices, (2) extract service readiness, provision of care, and experience of care items from intervention‐specific clinical guidelines, (3) map items to data available in global health facility surveys, (4) conduct an expert survey to prioritize interventions and items, and (5) use findings from previous steps to propose quality of care metrics. Thirty‐two recommended interventions were identified, for which the guidelines review yielded 763 unique items that were reviewed by experts. The proposed nutrition quality of care indices for pregnant women reflects eight interventions and the indices for children under 5 reflects six interventions. The indices provide a standardized measure for nutrition intervention quality and can be operationalized using existing health facility assessment data, facilitating their use by LMIC decision makers for planning and resource allocation.

Since 1980s, the weakening of the transportation function of the Grand Canal and rapid urbanisation have generated significant changes in the spatial pattern of rural settlements along the Grand Canal. Analysing the changing characteristics of this spatial pattern, and exploring the natural, social, and economic factors influencing these changes are key to understanding the regional spatial structure and development law, and grasping the degree of influence of these factors. This study selected approximately 13,000 rural settlements in 27 county-level units in the Shandong section of the Grand Canal, from 1980 to 2018, as the research object. The Grand Canal's distance buffer zone is divided into canal-side, near-canal, far-canal, and further-canal settlements. The correlation model with the canal is constructed through the controlled experiment. The distribution, scale, and form of the settlement are analysed quantitatively by applying the change of gravity centre model (CGC), average nearest neighbour analysis (ANN), landscape metrics (LM), and other methods. The quantitative analysis of geographic detectors in spatial pattern differentiation factors shows the relative importance and interaction within them. This study indicates that the spatial distribution shows ‘large dispersion and small concentration’ and ‘small-scale agglomeration’ characteristics. The larger the scale of the settlement expands, the more the number of settlements decreases. The closer the settlement nears the river, the more complex the shape clusters. The total output value of agriculture, forestry, animal husbandry, fisheries, the total power of agricultural machinery, and the effective irrigation area are the main influencing factors. The grain area and the per capita disposable income of rural residents are the main auxiliary influencing factors.

It is widely debated how ordinary citizens understand and use different types of knowledge and whether the authority of professional expertise is challenged by the spread of information. These debates underline that we know too little about how professional expertise is understood from the citizens’ point of view and how citizens decide whether or not to accept various types of expertise as authoritative. This article investigates professional authority understood as lay citizens’ willingness to follow certain types of professional advice. We argue that variation in professional authority can be explained by citizens’ evaluations of professional expertise and whether they perceive the tasks and problems addressed by professionals as having ‘legitimate complexity’. The analysis uses survey data from two countries, including vignettes on following advice in concrete everyday situations. We find legitimate complexity to be a strong predictor of professional authority although social status also plays a role.

Background Responses of subnational government units are crucial in the containment of the spread of pathogens in a country. To mitigate the impact of the COVID-19 pandemic, the Philippine national government through its Inter-Agency Task Force on Emerging Infectious Diseases outlined different quarantine measures wherein each level has a corresponding degree of rigidity from keeping only the essential businesses open to allowing all establishments to operate at a certain capacity. Other measures also involve prohibiting individuals at a certain age bracket from going outside of their homes. The local government units (LGUs)–municipalities and provinces–can adopt any of these measures depending on the extent of the pandemic in their locality. The purpose is to keep the number of infections and mortality at bay while minimizing the economic impact of the pandemic. Some LGUs have demonstrated a remarkable response to the COVID-19 pandemic. The purpose of this study is to identify notable non-pharmaceutical interventions of these outlying LGUs in the country using quantitative methods. Methods Data were taken from public databases such as Philippine Department of Health, Philippine Statistics Authority Census, and Google Community Mobility Reports. These are normalized using Z-transform. For each locality, infection and mortality data (dataset Y) were compared to the economic, health, and demographic data (dataset X) using Euclidean metric d=(x−y)2, where x∈X and y∈Y. If a data pair (x,y) exceeds, by two standard deviations, the mean of the Euclidean metric values between the sets X and Y, the pair is assumed to be a ‘good’ outlier. Results Our results showed that cluster of cities and provinces in Central Luzon (Region III), CALABARZON (Region IV-A), the National Capital Region (NCR), and Central Visayas (Region VII) are the ‘good’ outliers with respect to factors such as working population, population density, ICU beds, doctors on quarantine, number of frontliners and gross regional domestic product. Among metropolitan cities, Davao was a ‘good’ outlier with respect to demographic factors. Conclusions Strict border control, early implementation of lockdowns, establishment of quarantine facilities, effective communication to the public, and monitoring efforts were the defining factors that helped these LGUs curtail the harm that was brought by the pandemic. If these policies are to be standardized, it would help any country’s preparedness for future health emergencies.

Peer reviewed: True, Decolonisation of the curriculum in higher education is a radical, transformative process of change that interrogates the enduring Eurocentric and racist narratives surrounding the production of academic ‘knowledge’. Our key argument is that it is essential for students of politics to understand the authorities and hierarchies exerted through quantitative data. In this paper, we show that (1) quantitative methods and data literacy can be an explicit tool in the endeavour to challenge structures of oppression, and (2) there is a need to apply decolonial principles to the teaching of quantitative methods, prioritising the historical contextualisation and anti-racist critique of the ways in which statistics amplify existing micro and macro power relations. To explain how this can be done, we begin with a commentary on the ‘state of decolonisation’ in higher education, its relevance to the sub-disciplines of politics, and its application to quantitative teaching in the UK. We then suggest some guiding principles for a decolonial approach to quantitative methods teaching, and present substantive examples from political sociology, international political economy, and international development. These suggestions and examples show how a decolonial lens advances critical and emancipatory thinking in undergraduate students of politics when it is used with quantitative methods.

This article describes the most popular methods of research of corporate culture. The possibilities of application of these methods, as well as their advantages and disadvantages are revealed. It is indicated that it is preferable to use quantitative methods that allow to more clearly prove the impact of corporate culture on the key performance indicators of the enterprise. Methods of research of culture of the organization depending on the parameters which are the Central elements of research are allocated. The most common methods for identifying the predominant type of corporate culture, modeling its future type are indicated. The approaches to the study of corporate culture are revealed. It is concluded that the timely diagnosis of the culture of the organization is one of the tools in solving the most important strategic tasks of the top management of the organization. Noted that the optimal combination of methods and approaches in the study of corporate culture will ensure the provision of reliable information, the use of which will improve the impact of staff and will enhance the efficiency and competitiveness of the organization.

Background Antenatal clinical guidelines recommend that during initial and subsequent antenatal visits all pregnant women: have their alcohol consumption assessed; be advised that it is safest not to consume alcohol during pregnancy and of the potential risks of consumption; and be offered referrals for further support if required. However, the extent to which pregnant women attending public antenatal services receive guideline recommended care at these visits, and the characteristics associated with its receipt, is unknown. The purpose of this study was to examine: 1) pregnant women’s reported receipt of guideline recommended care addressing alcohol consumption during pregnancy; 2) characteristics associated with the receipt of care; and 3) pregnant women’s acceptability of care. Methods From July 2017 – February 2018 a survey (telephone or online) was undertaken with 1363 pregnant women who had recently visited a public antenatal service in one health district in Australia. Receipt and acceptability of recommended care were assessed via descriptive statistics and associations via logistic regression analyses. Results At the initial antenatal visit, less than two thirds (64.3%) of pregnant women reported that they received an assessment of their alcohol consumption and just over one third (34.9%) received advice and referral appropriate to their self-reported level of alcohol consumption since pregnancy recognition. Less than 10% of women received such care at subsequent antenatal visits. Characteristics that significantly increased the odds of receiving all guideline elements at the initial antenatal visit included: less than university attainment (OR = 1.93; 95% CI:1.12, 3.34), not residing in an advantaged area (OR = 2.11; 95% CI:1.17, 3.79), first pregnancy (OR = 1.91; 95% CI:1.22, 2.99) and regional/rural service location (OR = 2.38; 95% CI:1.26, 4.48); and at subsequent visits: younger age (OR = 0.91; 95% CI:0.84, 0.99) and Aboriginal origin (OR = 3.17; 95% CI:1.22, 8.24). Each of the recommended care elements were highly acceptable to pregnant women (88.3–99.4%). Conclusions Although care for alcohol consumption is both recommended by clinical guidelines and highly acceptable to pregnant women, its receipt in public antenatal services is suboptimal. There is a need and an opportunity for interventions to support antenatal care providers to routinely and consistently provide such care to all pregnant women.

Background: In order to provide patient center care, our multiple sclerosis (MS) clinic assesses patient concerns before clinical encounters, first by asking the optional qualitative question “What is the most important thing you what your health-care provider to know today” (most important concern of the patient [MIPC]) and then completing quantitative patient-reported outcome measures (PROMs) including Quality of Life in Neurological Disorders (Neuro-QoL). Both sets of questions are designed to facilitate encounters that address patients’ values and preferences. Objective: Determine whether the qualitative MIPC responses provided unique information not included in PROMs or clinical assessments. Methods: We randomly selected 400 first-time MIPC responders and 400 first-time MIPC nonresponders from 2788 participants in our database. We categorized MIPC responses by content and number of unique concerns and appended them to the Neuro-QoL framework. Nonresponders were compared to those who provided 1 and 2 or more responses. Results: Several MIPCs MS symptoms categories were added to the Neuro-QoL Physical domain. Most important concern of the patients work and cost-of-care categories were added to the Social Domain. Domains regarding treatment satisfaction and disease management were added. Two hundred thirty (58%) MIPC respondents reported 1 concern, 140 (35%) expressed 2 to 6 concerns, and 30 (7%) reported MS-unrelated concerns and not analyzed. Physical symptoms were the most common MIPC (69.9%). Respondents with more concerns were more likely African American, lacked private insurance, and worse disability. Conclusions: Importantly, MIPC responders described idiosyncratic symptoms, disease management, and social concerns not included in the PROMS, suggesting the MIPC question offered patients a unique opportunity to share specific concerns with their providers.

Introduction: The general assumption is that blood glucose (BG) and interstitial fluid glucose (IntFG) are practically the same. We aimed to determine whether the typical patient with type 2 diabetes can use IntFG to estimate BG. Description: The study was conducted on an 83-year-old white male with type 2 diabetes. One hundred pairs of IntFG and BG observations mg/dL (n = 50 simultaneous; n = 50 with 15-minute lag) were made over a 10-day period. We used paired t tests, correlation coefficients, and linear regression to predict relationships between IntFG and BG. Results: There were significant ( P < .0001) mean differences between IntFG and BG (simultaneous: 53.8 mg/dL; 15-minute time lag: 46.4 mg/dL). There were significant ( P < .0001) positive correlations between IntFG and BG (simultaneous: r = 0.641; 15-minute time lag: r = 0.712). Linear regression revealed that increased IntFG was significantly ( P < .0001) associated with declines in mean predicted BG. Conclusion: The typical type 2 diabetes patient cannot use IntFG level to estimate BG.

The pervasive use of mobile information technologies brings new patterns of media usage, but also challenges to the measurement of media exposure. Researchers wishing to, for example, understand the nature of selective exposure on algorithmically driven platforms need to precisely attribute individuals’ exposure to specific content. Prior research has used tracking data to show that survey-based self-reports of media exposure are critically unreliable. So far, however, little effort has been invested into assessing the specific biases of tracking methods themselves. Using data from a multimethod study, we show that tracking data from mobile devices is linked to systematic distortions in self-report biases. Further inherent but unobservable sources of bias, along with potential solutions, are discussed. © 2019. This is the authors' accepted and refereed manuscript to the article. The final authenticated version is available online at: https://doi.org/10.1177%2F0894439319831643

Recent years have witnessed the emergence of a growing literature bemoaning the level of quantitative methods provision within the U.K. Higher Education sector, noting its negative impact upon the subsequent skills of graduates and their preparedness for the workplace. The present paper documents and evaluates an attempt to counter these issues via the introduction of an increasing element of flexible learning on a business and financial forecasting module. Using a mixture of empirical methods, it is shown that flexible learning results in improvements in student performance and ability across a range of metrics. It is argued that ‘broad’ forms of flexible learning can be employed to overcome the concerns of an increasingly negative literature on quantitative methods provision and the subsequent skills levels of students.

Investigating moderating effects of culture between body dissatisfaction (BD) and quality of life (QoL) is paramount, as BD affects psychosocial functioning. Participants include 866 females (18–25) years old from Australia ( n = 464) M (20.88) SD (3.38) and Malaysia ( n = 402) M (20.63) SD (2.05). Higher levels of BD predicted lower levels of QoL across all four domains. BD had the strongest effect on psychological QoL for both cultures. Culture moderated the relationship between BD and: (i) physical QoL and (ii) environmental QoL. The adverse impact of BD on all domains of QoL, highlights the importance of BD as a public health problem.

Three-dimensional (3D) printing in construction technology has rapidly developed in recent years and is being implemented on a prototype basis for relatively small building and bridge construction projects. A number of 3D printing-based solutions are still at the laboratory experiment stage. Thus, understanding how to adapt 3D printing successfully is still one of the challenging issues facing the construction industry. Although the innovative literature provides clues about potentially relevant factors for construction 3D printing technology adaptation, research has still not specifically addressed this topic. This knowledge gap hampers further advancements in 3D printing for construction, launching new products, and the development of related services for the industry. Hence, as a response to the aforementioned shortcomings, this paper reveals nine potential factors and thirty-two of their measurements that determine the decision to adapt 3D printing technology for construction projects. To quantify the influence of the relevant factors and measurements, the structural equation modeling technique was employed. The results indicate that the top significant factors in ensuring the success of 3D printing technology in construction are "technology compatibility,""supply-side benefits,"and "complexity."Based on these findings, current and future 3D printing project managers may utilize the results of this study to guide their efforts in adapting this technology to produce high-value construction components and related products and to generate new business opportunities.

Rationale Quantitative health disparities research has increasingly employed intersectionality as a theoretical tool to investigate how social characteristics intersect to generate health inequality. Yet, intersectionality was not designed to quantify, predict, or identify health disparities, and, as a result, multiple criticisms against its misapplication in health disparities research have been made. As such, there is an emerging need to evaluate the growing body of quantitative research that aims to investigate health disparities through an intersectional lens. Methods We conducted a systematic review from earliest records to January 2020 to (i) describe the scope of limitations when applying intersectionality to quantitative health disparities research, and (ii) identify recommendations to improve the future integration of intersectionality with this scholarship. We identified relevant publications with electronic searches in PubMed and CA Web of Science. Studies eligible for inclusion were English-language publications that used quantitative methodologies to investigate health disparities among adults in the U.S. while explicitly claiming to adopt an intersectional perspective. Out of 1279 articles reviewed, 65 were eligible for inclusion. Results Our review found that, while the value of intersectionality to the study of health disparities is evident, the existing research struggles with meeting intersectionality's fundamental assumptions. In particular, four limitations were found to be widespread: narrowing the measurements of intersectionality, intersectional groups, and health outcomes; placing primacy on the study of certain intersectional groups to the neglect of others; overlooking underlying explanatory mechanisms that contribute to the health disparities experienced by intersectional groups; and, lacking in the use of life-course perspectives to show how health disparities vary across different life stages. Conclusion If the goal of health equality is to be achieved among diverse intersectional groups, future research must be assisted by the collection and examination of data that overcomes these limitations.

This presentation outlines the results of the primary programmatic evaluation efforts the Emergency Preparedness Research Evaluation and Practice (EPREP) Program has conducted since 2016. The presentation begins with an overview of the methodology of selecting outcome measures to evaluate program efficacy, as well as a description of the evaluation framework. Results of the longitudinal and quasi-experimental 2017 evaluation of the Online4Good Academy—on of the training events at the focus of the Boston CVE Pilot Program—are presented and discussed. In 2018, the EPREP Program utilized a longitudinal and quasi-experimental design to evaluate the efficacy of the Peer2Peer antihatred campaign Kombat with Kindness. Results and implications from this study are discussed. The final portion of the presentation describes the more recent activities of the EPREP Program—an evaluation of the online safety program Operation 250 (OP250). This portion of the lecture describes the psychological framework and theory of change under which OP250 implements their initiative. During the final segment we also present the preliminary results of a randomized controlled trial conducted at two different study sites in Massachusetts designed to evaluate the programs’ efficacy.