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Determining the Role of Service Quality, Trust, and Commitment to Customer Loyalty for Telecom Service Users: A PLS‐SEM Approach
Purpose – The purpose of this paper is to determine the role of service quality (SQ), trust and commitment to customer loyalty (CL) for telecom service users. Further, the moderating role of gender, marital status and connection type within the model was tested. Design/methodology/approach – A measurement model was created based on valid 615 responses from Indian TSUs for SQ, trust, commitment and loyalty with the help of partial least squares structural equation modeling (PLS-SEM). Multi-group analysis (MGA) was conducted to understand the moderating effect of marital status, gender and connection type within the model. Findings – The results suggest that, out of five dimensions of SQ, only responsiveness, assurance and empathy have a significant positive relationship with both commitment and trust. Tangibility has a significant positive relationship with trust only. Both commitment and trust have a significant impact on loyalty. It was noticed that both commitment and trust act as mediators between three SQ dimensions (assurance, empathy and responsiveness) and CL. MGA revealed that empathy and responsiveness positively induce trust in telecom users who are single. Whereas, assurance increases commitment toward telecom service providers in married users. Assurance and empathy significantly contribute toward commitment and trust, respectively, in male users as compared to females. Empathy was found important for postpaid users for trust-building, whereas trust was found to be more important for prepaid users to stay loyal to the service provider. Originality/value – This article contributes toward understanding the role of SQ, trust and commitment to CL moderated by marital status, gender and connection type in an integrated model concerning telecom servic
A comprehensive assessment of endocrine-disrupting chemicals in an Indian food basket: Levels, dietary intakes, and comparison with
Endocrine-disrupting chemicals (EDCs) in diet are a health concern and their monitoring in food has been introduced in the European Union. In developing countries, EDC dietary exposure data are scarce, especially from areas perceived as pollution hotspots, including industrialized countries like India. Several persistent organic pollutants (POPs) act as EDCs and pose a pressure to human health mainly through dietary exposure. In the present study, a range of organochlorine pesticides (OCPs), polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs), dioxins and furans were measured in several food items collected from Indian urban (Delhi) and peri-urban (Dehradun) areas. Food basket contamination data were used to estimate EDC dietary exposure and compare it with that of the average European population estimated from available monitoring data. All the target contaminants were found in most food items, especially in dairies and meat products. OCPs were the main contributers to the measured EDC contamination. Food supplied to Delhi's markets had higher EDC contamination than that supplied to the peri-urban market in Dehradun. Despite lax compliance and control measures, Indian dietary exposure of OCPs and PBDEs were comparable with that of Europe and were lower for PCBs and dioxins. Higher meat consumption in Europe only partly explained this pattern which was driven also by the higher EDC residues in some European food items. A substantial part of endocrine disrupting potential in the diet derives from food and animal feeds internationally traded between developed and developing countries. With increasingly globalized food systems, internationally harmonized policies on EDC content in food can lead to better protection of health in both these contexts
In-service EFL Teachers' Management of Participation during Teacher-fronted Whole-class Activities
Within the sociolinguistic and interactional approaches to L2 acquisition, learner participation is considered a necessary prerequisite for language learning. However, recent studies (e.g. Walsh & Li, 2013) have demonstrated that simply letting learners talk is not enough, and that for any learning to emerge, a solid amount of interactional steering work must first be employed by the teacher. This conversation analytic study focuses on in-service EFL teachers. Based on video recordings of nine lessons (387 minutes) taught by six such teachers, it explores both the resources that they use to manage the participation of multiple learners at once during teacher-fronted whole-class activities, and the ways in which the learners respond to them. The study shows that there is a large range of resources which these teachers mobilise to secure the participation of their learners: these include Yes/No questions in the third-turn position, increased wait time, designedly incomplete utterances, continuers such as “uh-um” or acknowledging learners’ turns in advance by referencing a past learning event. Furthermore, the deployment of these resources is often tied to the pedagogical goal of an activity. These findings bear some implications for future teacher education, particularly in relation to the development of their Classroom Interactional Competence (Walsh, 2006).Pohledem sociolingvistických a interakčních přístupů k osvojování druhého/cizího jazyka je aktivní účast žáka ve výuce nutným předpokladem učení. V posledních letech však studie (např. Walsh & Li, 2013) ukázaly, že pouze nechat žáka mluvit rozhodně nestačí a že ke zprostředkování učení je třeba, aby učitel do velké míry podobu interakce ovlivňoval. Tato konverzačněanalytická studie se zaměřuje na učitele angličtiny jako cizího jazyka, již se vzdělávají při zaměstnání. Vychází z videonahrávek devíti lekcí (387 minut) vedených šesti takovými učiteli a zkoumá jednak prostředky, které uplatňují během frontální výuky k zapojení několika žáků najednou, jednak reakce samotných žáků na jejich užití. Studie ukazuje, že tito učitelé mají k dispozici velké množství prostředků, jimiž mohou podpořit či zajistit aktivní účast svých žáků. Patří mezi ně zjišťovací otázky ve třetí replice sekvence, více času na odpověď, záměrně nedokončené repliky, kontinuátory (např. „uh-um“) či uznání žákovy odpovědi předem skrze odkázání na dřívější výukovou aktivitu. Použití těchto prostředků je navíc často vázáno na bezprostřední cíl probíhající aktivity. Na základě výsledků analýzy lze formulovat doporučení pro budoucí vzdělávání učitelů, zejména v souvislosti s rozvojem jejich interakční kompetence ve třídě (Walsh, 2006)
La sinceridad del No. Un poema contra el Imperio. A Roosevelt de Rubén Darío
"Paper" sobre la Oda a Roosevelt, de Rubén Darío, escrito contra el naciente imperialismo yanqui en latinoamérica."Paper" on the Ode to Roosevelt, by Rubén Darío, written against the nascent Yankee imperialism in Latin America
Proč nelze SPARO používat v psychodiagnostické praxi?
Dotazník SPARO tradičně patří k jedněm z nejčastěji používaných metod v české psychodiagnostické praxi. V nedávno publikované sérii dvou studií (Cígler a Rudá, 2021a; 2021b) jsme však na datech z reálné testové situace v policejním kontextu ukázali, že dotazník má neakceptovatelně nízkou reliabilitu, faktorovou validitu i konvergentní validitu vůči dotazníku MMPI 2. Výhrady nízké faktorové validity a reliability pak do určité míry platily i pro MMPI 2. Co to znamená pro praktickou psychologickou diagnostiku? Proč se domníváme, že kvůli těmto nedostatkům nelze SPARO použít jako důvěryhodnou diagnostickou metodu? Během krátké workshopu představím hlavní výzkumná zjištění a podrobně popíšu, jaké jsou jejich důsledky pro použití dotazníku SPARO v praxi. K účasti na workshopu není třeba žádných pokročilých znalostí statistiky či psychometriky
Replicating the Disease framing problem during the 2020 COVID-19 pandemic : A study of stress, worry, trust, and choice under risk
In the risky-choice framing effect, different wording of the same options leads to predictably different choices. In a large-scale survey conducted from March to May 2020 and including 88,181 participants from 47 countries, we investigated how stress, concerns, and trust moderated the effect in the Disease problem, a prominent framing problem highly evocative of the COVID-19 pandemic. As predicted by the appraisal-tendency framework, risk aversion and the framing effect in our study were larger than under typical circumstances. Furthermore, perceived stress and concerns over coronavirus were positively associated with the framing effect. Contrary to predictions, however, they were not related to risk aversion. Trust in the government’s efforts to handle the coronavirus was associated with neither risk aversion nor the framing effect. The proportion of risky choices and the framing effect varied substantially across nations. Additional exploratory analyses showed that the framing effect was unrelated to reported compliance with safety measures, suggesting, along with similar findings during the pandemic and beyond, that the effectiveness of framing manipulations in public messages might be limited. Theoretical and practical implications of these findings are discussed, along with directions for further investigations
Smíšený mód a online dotazování : mezinárodní praxe a tuzemská připravenost na implementaci
The cost of interviewer-administered data collection (CAPI, CATI) has been gradually rising, while response rates have been declining over time. This situation has led to the domination of online data collection (CAWI), which tends to suffer from poor population coverage and even lower response rates. This could be overcome by combining this method with another mode of data collection. This paper aims to summarise the main principles of mixed-mode design, its implementation in major international surveys, and the first results of a project testing the feasibility of the push-to-web mixed-mode design in the Czech context. The results illustrate that together, unequal distribution of technological skills and willingness to participate distort the recruitment of random samples for CAWI towards middle-aged and more educated respondents. The mixed-mode design – together with the described components – has the potential to better involve underrepresented groups, while it is essential to follow the rules for achieving comparable answers across modes and devices. Finally, we emphasize the need to disseminate findings to researchers and other users of survey data, as the use of mixed-mode design has been rapidly increasing.The cost of interviewer-administered data collection (CAPI, CATI) has been gradually rising, while response rates have been declining over time. This situation has led to the domination of online data collection (CAWI), which tends to suffer from poor population coverage and even lower response rates. This could be overcome by combining this method with another mode of data collection. This paper aims to summarise the main principles of mixed-mode design, its implementation in major international surveys, and the first results of a project testing the feasibility of the push-to-web mixed-mode design in the Czech context. The results illustrate that together, unequal distribution of technological skills and willingness to participate distort the recruitment of random samples for CAWI towards middle-aged and more educated respondents. The mixed-mode design – together with the described components – has the potential to better involve underrepresented groups, while it is essential to follow the rules for achieving comparable answers across modes and devices. Finally, we emphasize the need to disseminate findings to researchers and other users of survey data, as the use of mixed-mode design has been rapidly increasing
Cloud Native Data Platform for Network Telemetry and Analytics
In this manuscript, we present a prototype of a modular data platform that is able to continuously ingest, process, retain, and analyse large amounts of network telemetry data in a scalable and straightforward manner. It follows a recently proposed Data Lakehouse architectural pattern, which is an evolution of two well-known approaches used in this area -- data warehouses and data lakes. The platform is based on open standards and open-source components, and it follows cloud native principles in order to be able to run in modern computing environments such as public, private, and hybrid clouds. The primary focus of the prototype is network telemetry and analytics over traffic flows and infrastructure logs for the purposes of cyber-security digital forensics and incident response. During the demonstration part, we will further describe internal workings of the presented data platform and showcase its capabilities and possible applications on a public dataset
Centre and Periphery in Romance Literatures
Le colloque a rassemblé les spécialistes de la problématique concenant la relation entre le centre et les périphéries dans les littératures romanes.Na konferenci se sešli odborníci na problematiku vztahu centra a periferie v románsk& literaturách.The colloquium brought together specialists in the field of the relationship between the center and the periphery in Romance literatures
Harmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign
Use of a multi-sensor approach can provide citizens with holistic insights into the air quality of their immediate surroundings and their personal exposure to urban stressors. Our work, as part of the ICARUS H2020 project, which included over 600 participants from seven European cities, discusses the data fusion and harmonization of a diverse set of multi-sensor data streams to provide a comprehensive and understandable report for participants. Harmonizing the data streams identified issues with the sensor devices and protocols, such as non-uniform timestamps, data gaps, difficult data retrieval from commercial devices, and coarse activity data logging. Our process of data fusion and harmonization allowed us to automate visualizations and reports, and consequently provide each participant with a detailed individualized report. Results showed that a key solution was to streamline the code and speed up the process, which necessitated certain compromises in visualizing the data. A thought-out process of data fusion and harmonization of a diverse set of multi-sensor data streams considerably improved the quality and quantity of distilled data that a research participant received. Though automation considerably accelerated the production of the reports, manual and structured double checks are strongly recommended