Patient satisfaction with healthcare provision services and the factors influencing it are be-coming the main focus of many scientific studies. Assuring the quality of the provided services is essential for the fulfillment of patients’ expectations and needs. Thus, this systematic review seeks to find the determinants of patient satisfaction in a global setting. We perform an analysis to evaluate the collected literature and to fulfill the literature gap of bibliometric analysis within this theme. This review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) approach. We conducted our database search in Scopus, Web of Science, and PubMed in June 2022. Studies from 2000–2021 that followed the inclusion and exclusion criteria and that were written in English were included in the sample. We ended up with 157 articles to review. A co-citation and bibliographic coupling analysis were employed to find the most relevant sources, authors, and documents. We divided the factors influencing patient satisfaction into criteria and explanatory variables. Medical care, communication with the patient, and patient’s age are among the most critical factors for researchers. The bibliometric analysis revealed the countries, institutions, documents, authors, and sources most productive and significant in patient satisfaction.
The article is devoted to identifying the impact of factors on the increasing labour productivity in the economies of the European Union-27 (EU-27) and Ukraine. The system of influencing factors that must be taken into account in the assessment of the labour productivity indicator was substantiated. The factors are based on the most significant indicators of innovative development (innovative activity; formation and the use of personnel; the state of use of fixed capital; the composition of the payroll budget; investment activity; and the use of working time). Based on the use of the method of linearization of the labour productivity model, the rating coefficients of the influence of factors for the economies of the EU-27 and Ukraine were determined. It has been proven that the following factors have a significant positive impact on labour productivity: an increase in the costs of scientific research and development; the growth of enterprises expenditures on research and development (R&D) in high-tech sectors; the increase in the share of scientific research personnel and researchers in the total number of the employed population; the growth of costs for the innovation of industrial enterprises; an introduction to the production of new technological processes and innovative types of products; the purchase of machinery, equipment, and software; an increase in the share of the employed population that has a basic higher education (bachelor’s degree); the growth in the share of the employed population that has a full higher education (master’s degree); the increase in the share of enterprises providing training; the increase in the capital–labour ratio; the technological equipment of labour; the machine equipment of labour; the renewal of fixed capital; and the increase in the level of intellectualization of fixed capital. The available reserves for increasing the labour productivity in EU-27 economies and Ukraine were clarified, and recommendations for managing the labour productivity in the conditions of innovative development have been provided. This study gains relevance when Ukraine has assumed the official status of an EU candidate country and the advantages and potential difficulties in the membership process should be evaluated. Labour productivity will be one of the key factors in the post-conflict recovery of the economy.
The unprecedented global health crisis caused by COVID-19 is undoubtedly having a major impact on international tourism for two reasons. While the imposed travel restrictions have discouraged people from traveling, travelers are struggling with growing anxiety in coping with the new travel environment. We address the changing risk perceptions of travelers in the wake of the COVID-19 pandemic. Our primary objective is to identify and weigh significant emerging travel risks and develop a Risk Score Index to measure destination performance and strategic interventions for South African travelers. In this case, we used MACBETH and web-Delphi to construct that index with the help of 32 experts in the field. We found that the risks perceived by tourists are multifaceted and encompass categories, such as additional costs, exchange rates, and reimbursement-related factors. These three criteria are most important to the general perception of travel risk. We applied the developed risk assessment index to five destinations to assess their performance relative to the identified risks. The UK was the best-performing country.
Covid-19 is a disease caused by SARS-CoV-2, which has spread worldwide since the beginning of 2020. Several pharmaceutical and non-pharmaceutical strategies were proposed to contain the virus dissemination, including vaccination and lockdowns. One of the consequences of the pandemic was the denial or delay of access to convenient health care services, but also potentially the increase of adverse events within those services, like the number of hospital infections. Therefore, the main question here is: What happened to the performance and sustainability of hospitals? The main goal of this work was to test if the Portuguese public hospitals' performance has been affected by the SARS-CoV-2 pandemic. We used the Benefit-of-Doubt method integrated with the Malmquist Index to analyze the performance evolution over time. Then, we employed a multiple regression model to test whether some pandemic-related variables could explain the performance results. We considered a database of 40 Portuguese public hospitals evaluated from January 2017 to May 2022. The period 2017 to 2019 corresponds to the baseline (pre-pandemic), against which the remaining period will be compared (during the pandemic). We also considered fourteen variables characterizing hospital quality, divided into three main performance definitions (efficiency and productivity; access; safety and care appropriateness). As potential explanatory variables, we consider seven dimensions, including vaccination rate and the need for intensive care for Covid-19 infected people. Results suggest that Covid-19 pandemic features help explain the drop on access after 2020, but not the evolution of safety and appropriateness of care, which surpris-ingly increased the whole time.
This paper discusses the trade of counterfeit luxury brands, which has grown at an alarming rate and is becoming a pertinent topic. The objective of this study is to specify the factors that influence purchase intention of counterfeit products. A questionnaire was applied to a group of Portuguese consumers, wherein 43% male and 57% female, with an average age of 32.59 years (SD = 9.78). The middle class registered the highest number of responses (86%), followed by the upper class (11%). Most respondents had higher education (76%). This group agreed to declare that they purchase counterfeit luxury products. Qualtrics software was used to validate one hundred responses. Data analysis was performed using SPSS.The results show that the three most popular counterfeit products are bags, clothes, and watches; the three brands that are most easily for sale are Louis Vuitton, Ray-Ban, and Nike; the main motivation associated with counterfeit goods is lower price (44%). The main sources are street vendors and online shopping. The intention to re-purchase a counterfeit product obtained low median results.The most desired counterfeit products are bags and clothes that are sold by street vendors (28%) or in the Internet (26%). The main factors that lead to the acquisition of counterfeit products are lower prices (44%) and product design (11%). 130 consumers declared the highest price satisfaction than a personal satisfaction from the purchase of counterfeit products. Portuguese consumers are also aware of ethical issues and agree with the enforcement of severe measures.
The research around social networks have become increasingly important in recent years because they are a powerful means of communication between different generations, especially the younger ones. Social networks are occupying a privileged place in the marketing and communication of brands, which has been reflected in the increase in sales in various sectors of activity. The present investigation aims to analyze how the relationship between Brand Image and Clothing Purchase Intention is mediated by the Consumers Perception benefits that this purchase provides them. The study used a quantitative methodology with questionnaire survey which had the participation of 947 subjects p in the study, aged between 18 and 55 years (M = 28.69, SD = 9.16), who during the period of confinement, caused by the pandemic situation, bought clothing through social networks. The results revealed that Brand Image has a significantly positive impact on Purchase Intention, but when Perceived Benefits enter in the model, the effect diminishes, although it remains positive and significant. It is verified that there is a partial mediation of the Perceived Benefits, which indicates that it has an indirect effect on consumers Purchase Intention. This research is important for marketing professionals to deepen their knowledge about Brand Image importance and the Perception of its Benefits has on consumers Purchase Intention, in order to develop Marketing and Advertising effective strategies to reach the target audience.
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