Public Procurement Employees' Perception on Legal Changes, Perceived Red Tape and Job Stress: Evidence from Serbia

Jovanović, Predrag; Ivanović, Tatjana; Maričić, Milica; Ivančević, Sonja

doi:10.5755/j01.ee.33.5.29934

Cited by 2 publications

(1 citation statement)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To explore the proposed conceptual model's validity, we turned to structural equation modelling (SEM). SEM analysis is based on the principles of two statistical multivariate analyses: factor analysis and regression analysis [32], [33]. The idea is to use the principles of factor analysis to group the measured variables into latent factors, and to use multiple linear regression to explore the relationships between the measured and latent variables.…”

Section: Partial-least Squares Sem Analysismentioning

confidence: 99%

Statistics Anxiety: What are the Antecedents?

Maricic,

Rajkovic,

Lecic-Cvetkovic

et al. 2023

Proceedings of the 5th International Conference on Statistics: Theory and Applications

View full text Add to dashboard Cite

Study curriculums of higher education institutions on all levels of study (bachelor, master, and PhD) incorporate statistics courses. Such courses are more or less mandatory in higher education and specialisation. Research has shown that students report high levels of stress while attending statistics courses, high levels of anxiety while preparing and taking the exam and developing negative opinions of the statistics as a scientific field. In order to revert the negative connotation that is easily developed among students, it is of outer importance to explore the factors which impact their opinions on statistics. To do so, a survey was conducted among students who were attending a statistical course at the bachelor's level. The survey encompassed four parts: background information, previous experience with mathematical subjects, elements of the statistical course they feel anxiety about, and their opinion on the final outcome of the exam and the overall course. The conducted analysis was two-fold: first, to explore are there gender differences and study programme differences in opinions and attitudes and second, to construct a conceptual model to explore the impact of previous experience with mathematical subjects on anxiety and opinion. Statistical analyses used to answer the defined task is structural equation modelling (SEM). It is believed that the obtained results could shed light on the antecedents of statistical anxiety among students who are attending a statistical course at the university level for the first time. Professors and teaching assistants could be provided with valuable insights which can help them adjust their curriculum and in-class dynamics so as to reduce the possibility for students to develop statistics anxiety. Besides improving the grades and percentage of students who pass the statistics exam, they could improve the students' perception of the scientific field, thus encouraging them to pursue a career in statistics and data analysis, leading to the popularisation of the scientific field.

show abstract

Section: Partial-least Squares Sem Analysismentioning

confidence: 99%

Statistics Anxiety: What are the Antecedents?

Maricic,

Rajkovic,

Lecic-Cvetkovic

et al. 2023

Proceedings of the 5th International Conference on Statistics: Theory and Applications

View full text Add to dashboard Cite

show abstract

User-centric Smart City Services for People with Disabilities and the Elderly: A UN SDG Framework Approach

Vojinovic,

Panajotovic,

Budimirovic

et al. 2024

Economics

View full text Add to dashboard Cite

The publication presents the result of extensive research analysing how we can make smart cities more sustainable and inclusive. The central problem was to explore the readiness to adopt inclusive smart services that can sustainably foster, primarily, the inclusion of people with disabilities and the elderly. The secondary audience included the general population, facilitating a comprehensive examination of the varying needs among these demographics. The methodology involved an online questionnaire, formulated based on the Unified Theory of Acceptance and Use of Technology 2 model, and administered to a diverse sample of 302 participants from developing countries, Serbia, Bosnia and Herzegovina, and Montenegro, ensuring a broad representation of gender, age, educational backgrounds, and disability statuses. Key findings indicate a positive inclination towards smart city services across all demographics, particularly among the elderly and people with disabilities. Factors such as ease of use, and opportunities for social engagement are key drivers in the adoption of smart technologies. Research shows that all groups are interested in using smart city services if these would provide extensive environmental information, thereby improving their quality of life. The research contributes to the field by providing actionable insights for policymakers and urban developers to create more accessible and sustainable city environments.

show abstract

Public Procurement Employees' Perception on Legal Changes, Perceived Red Tape and Job Stress: Evidence from Serbia

Cited by 2 publications

References 52 publications

Statistics Anxiety: What are the Antecedents?

Statistics Anxiety: What are the Antecedents?

User-centric Smart City Services for People with Disabilities and the Elderly: A UN SDG Framework Approach

Contact Info

Product

Resources

About