Browsing by Author "Vasicheva, Valentina"

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Citation - WoS: 50
Citation - Scopus: 65
Assessing Quality in Higher Education: New Criteria for Evaluating Students' Satisfaction
(Taylor & Francis, 2011) Zineldin, Mosad; Akdag, Hatice Camgöz; Vasicheva, Valentina
The aim of this research is to present a new quality assurance model (5Qs) and to examine the major factors affecting students' perception of cumulative satisfaction. The model includes behavioural dimensions of student satisfaction. The factors included in this cumulative summation are technical functional infrastructure interaction and atmosphere of higher education institutions. This study concerns students in higher education institutions in Istanbul Turkey. The questionnaire contains a total of 39 items (attributes) of newly developed five quality dimensions (5Qs). A total of 1641 complete and usable questionnaires was received. Frequency analysis factor analysis and reliability analysis were used for analysing the data collected. Inspection of scree plot and eigenvalues enabled the analysis to reduce the 39 quality attributes to seven factors. The results can be used by higher education institutions to re-engineer and re-design creatively their quality-management processes and the future direction of their more effective education quality strategies. © 2011 Taylor & Francis.
Citation - WoS: 19
Citation - Scopus: 23
Measuring, Evaluating and Improving Hospital Quality Parameters/Dimensions - an Integrated Healthcare Quality Approach
(2011) Zineldin, Mosad; Akdag, Hatice Camgöz; Vasicheva, Valentina
Purpose: This paper aims to examine the major factors affecting cumulative summation, to empirically examine the major factors affecting satisfaction and to address the question whether patients in Kazakhstan evaluate healthcare similarly or differently from patients in Egypt and Jordan. Design/methodology/approach: A questionnaire, adapted from previous research, was distributed to Kazakhstan inpatients. The questionnaire contained 39 attributes about five newly-developed quality dimensions (5Qs), which were identified to be the most relevant attributes for hospitals. The questionnaire was translated into Russian to increase the response rate and improve data quality. Almost 200 usable questionnaires were returned. Frequency distribution, factor analysis and reliability checks were used to analyze the data. Findings: The three biggest concerns for Kazakhstan patients are: infrastructure; atmosphere; and interaction. Hospital staff's concern for patients' needs, parking facilities for visitors, waiting time and food temperature were all common specific attributes, which were perceived as concerns. These were shortcomings in all three countries. Improving health service quality by applying total relationship management and the 5Qs model together with a customer-orientation strategy is recommended. Practical implications: Results can be used by hospital staff to reengineer and redesign creatively their quality management processes and help move towards more effective healthcare quality strategies. Social implications: Patients in three countries have similar concerns and quality perceptions. Originality/value: The paper describes a new instrument and method. The study assures relevance, validity and reliability, while being explicitly change-oriented. The authors argue that patient satisfaction is a cumulative construct, summing satisfaction as five different qualities (5Qs): object; processes; infrastructure; interaction and atmosphere.