scholarly journals Exploratory Factor Analysis (EFA) Pada Penyerapan Anggaran Pendapatan dan Belanja Negara (APBN) Tahun 2017 di Provinsi Sumatera Barat

2018 ◽  
Vol 3 (3) ◽  
pp. 236-254 ◽  
Author(s):  
Aulia Rahim ◽  
Harsya Saputra
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Latent Variables ◽  
Primary Data ◽  
State Budget ◽  
Budget Planning ◽  
Goods And Services ◽  
Internal Policy ◽  
Verification Process ◽  
Budget Execution

Slow back-loaded pattern highlights challenges and raises a specific concern over the quality of state budget (APBN) implementation in West Sumatera Province. This study aims to investigate factors constraining state budget (APBN) absorption in 2017 which directly causes the existence of such a pattern. A set of questionnaires were used to collect primary data. Exploratory Factor Analysis (EFA) was utilized to identify latent variables underlying the scale and SPSS.22 was employed to test questionnaires from 200 working units that involved in this research. The findings explain that six main factors influencing state budget absorption in West Sumatera were a. Goods and Services Procurement, b. Internal Policy Changes, c. Budget Planning, d. Financial Officers, e.Changes on Government Policy and f. Document Verification Process on Budget Execution. This study recommends that working units should prepare for early procurement to expedite the budget absorption.                    Pola slow back-loaded merupakan tantangan terhadap kualitas pelaksanaan APBN di Sumatera Barat. Studi ini bertujuan untuk menginvestigasi faktor-faktor yang mempengaruhi penyerapan APBN di Sumatera Barat pada tahun 2017 yang secara langsung mempengaruhi pola penyerapan yang terjadi. Satu set kuesioner digunakan untuk mendapatkan data primer yang dibutuhkan. Teknik analisis faktor eksploratori digunakan untuk mengidentifikasi variabel laten yang ada dan SPSS 22 digunakan untuk melakukan tes statistik terhadap kuesioner yang diperoleh dari 200 satker yang terlibat di penelitian ini. Hasil penelitian menjelaskan bahwa enam faktor yang berpengaruh terhadap penyerapan APBN di Provinsi Sumatera Barat yaitu a.Faktor Proses Lelang Pengadaan Barang dan Jasa, b.Faktor Perubahan Kebijakan Internal Satuan Kerja dan K/L, c. Faktor Administrasi Perencanaan Anggaran, d.Faktor Pejabat Perbendaharaan, e. Faktor Perubahan Kebijakan Pemerintah dan f. Faktor Proses Verifikasi Dokumen Untuk Pelaksanaan Anggaran. Studi ini salah satunya merekomendasikan percepatan pelaksanaan pengadaan barang dan jasa untuk mempercepat penyerapan anggaran.

scholarly journals The Effect of Budget Planning, Budget Implementation, Procurement of Goods and Services, Competence of Human Resources and Budget Politics on Budget Absorption (Empirical Study on Opd Pelalawan District)

2021 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Sofia Gusmartina ◽  
Nur Azlina ◽  
Julita Julita
Keyword(s):  
Data Collection ◽  
Empirical Study ◽  
Human Resources ◽  
Sampling Technique ◽  
Total Sample ◽  
Primary Data ◽  
Budget Planning ◽  
Goods And Services ◽  
Data Source ◽  
Budget Execution

<p align="center"><strong>Abstract</strong></p><p><em>This study aims to prove and test the factors that influence budget absorption. The factors tested in this study are budget planning, budget execution, procurement of goods and services, human resource competence and budget politics. The data source used in this research is primary data and data collection is done directly using a questionnaire which is measured using a Likert scale. The population of this study were employees of all offices and regional apparatus organizations in Pelalawan Regency, totaling 27 OPDs. The total sample of this study was 108 respondents with the sampling technique, namely purposive sampling, who were in accordance with the position of the head of the department, the financial technical executive officer and the expenditure treasurer.</em><strong></strong></p>

On the Dimensionality of Measuring Tourist Satisfaction towards Homestay

2015 ◽  
Vol 8 (2) ◽  
Author(s):  
Gangaram Biswakarma
Keyword(s):  
Factor Analysis ◽  
Data Collection ◽  
Exploratory Factor Analysis ◽  
Life Style ◽  
Factor Loading ◽  
Primary Data ◽  
Cultural Performance ◽  
Latent Construct ◽  
Tourist Satisfaction ◽  
The Relationship

This study focuses on measuring tourist satisfaction towards home stay. This paper emphasized to identify the variables that are related to tourist satisfaction during tourist homestay. It is also focused on analyzing the relationship and impact of these latent construct of factors to overall tourist satisfaction towards home stay. In an attempt to visualize the purpose, tourists satisfaction in a homestay in Nepal has taken into as a case, with an aim to identify the underlying dimensions of tourist satisfaction during tourist homestay. Twenty six (26) manifest variables of homestay has been formulated to understand the dimensions. Likewise, for a conforming the latent construct (1) statement as dependent variable of overall satisfaction was developed for the purpose of the primary data collection. The manifest variables are basically focused on aspects of home stay attributes namely cultural attraction, hospitality, amenities and safety & security at the home stay destination. Post Exploratory Factor Analysis indicates factor loading for twenty two (22) items manifest variables as significant, loaded with five (5) factors of home stay attributes named as Amenities & Safety, Reception, Local Cuisine & Accommodation, Local Life style & Costumes, and Cultural Performance. This study contributes to the development of survey instrument for exploring tourist satisfaction for Home stay for future researchers.

Islamic bank selection criteria in Nigeria: a model development

2019 ◽  
Vol 11 (6) ◽  
pp. 1837-1849
Author(s):  
Precious Chikezie Ezeh ◽  
Anayo D. Nkamnebe
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Selection Criteria ◽  
Model Development ◽  
Reliability And Validity ◽  
Primary Data ◽  
Islamic Banking ◽  
Islamic Ethics ◽  
Content Type ◽  
Islamic Bank

Purpose The purpose of this study is to develop a model for the study of Islamic bank choice and to test the significant importance of the constructs that influence bank customers to choose Islamic bank in a pluralistic-secular nation. Design/methodology/approach Total of 348 conventional and Islamic bank customers were sampled. Five-point Likert-type question containing 27 bank selection items was used in collecting primary data. Cronbach’s alpha, composite reliability and average variance extracted are used to test the reliability and validity of the instrument. Also various descriptive statistics, exploratory factor analysis and one sample T-test are equally used in analyzing the work. Findings Exploratory factor analysis identified four factors. They are Islamic ethics, convenience, Islamic bank services awareness and physical evidence. Furthermore, the factors that show significant importance in the choice of Islamic banking are Islamic ethics and Islamic bank services awareness. The result equally shows that people are aware of Islamic banking. Practical implications This study provides insight on the factors that influence the selection of Islamic banking, an innovative banking concept. This study has obvious management and theory implications. Also, the study will assist the bank managers in developing effective marketing strategy to increase the market share. Originality/value This study reports Islamic banking selection criteria in a pluralistic-secular Nation. The study also developed a model that can be used in studying the choice of Islamic bank in special type of environment. Thus, Islamic banking is a new reality in the Nigerian financial scene.

scholarly journals Patients’ views on the implementation of artificial intelligence in radiology: development and validation of a standardized questionnaire

2019 ◽  
Vol 30 (2) ◽  
pp. 1033-1040 ◽  
Author(s):  
Yfke P. Ongena ◽  
Marieke Haan ◽  
Derya Yakar ◽  
Thomas C. Kwee
Keyword(s):  
Artificial Intelligence ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Latent Variables ◽  
Procedural Knowledge ◽  
Patient Questionnaire ◽  
Successful Implementation ◽  
Personal Interaction ◽  
Five Factors

Abstract Objectives The patients’ view on the implementation of artificial intelligence (AI) in radiology is still mainly unexplored territory. The aim of this article is to develop and validate a standardized patient questionnaire on the implementation of AI in radiology. Methods Six domains derived from a previous qualitative study were used to develop a questionnaire, and cognitive interviews were used as pretest method. One hundred fifty-five patients scheduled for CT, MRI, and/or conventional radiography filled out the questionnaire. To find underlying latent variables, we used exploratory factor analysis with principal axis factoring and oblique promax rotation. Internal consistency of the factors was measured with Cronbach’s alpha and composite reliability. Results The exploratory factor analysis revealed five factors on AI in radiology: (1) distrust and accountability (overall, patients were moderately negative on this subject), (2) procedural knowledge (patients generally indicated the need for their active engagement), (3) personal interaction (overall, patients preferred personal interaction), (4) efficiency (overall, patients were ambiguous on this subject), and (5) being informed (overall, scores on these items were not outspoken within this factor). Internal consistency was good for three factors (1, 2, and 3), and acceptable for two (4 and 5). Conclusions This study yielded a viable questionnaire to measure acceptance among patients of the implementation of AI in radiology. Additional data collection with confirmatory factor analysis may provide further refinement of the scale. Key Points • Although AI systems are increasingly developed, not much is known about patients’ views on AI in radiology. • Since it is important that newly developed questionnaires are adequately tested and validated, we did so for a questionnaire measuring patients’ views on AI in radiology, revealing five factors. • Successful implementation of AI in radiology requires assessment of social factors such as subjective norms towards the technology.

Does restaurant performance meet customers' expectations? An assessment of restaurant service quality using a modified DINESERV approach

2010 ◽  
Vol 16 (2) ◽  
pp. 181-195
Author(s):  
Suzana Marković ◽  
Sanja Raspor ◽  
Klaudio Šegarić
Keyword(s):  
Factor Analysis ◽  
Service Quality ◽  
Reliability Analysis ◽  
Empirical Research ◽  
Exploratory Factor Analysis ◽  
Primary Data ◽  
Level Of Service ◽  
Effective Strategy ◽  
Empirical Results ◽  
Two Factors

The purpose of this study is to determine restaurant service quality. The aims are to: (a) assess customers’ expectations and perceptions, (b) establish the significance of difference between perceived and expected service quality, (c) identify the number of dimensions for expectations and perceptions scales of modified DINESERV model, (d) test the reliability of the applied DINESERV model. The empirical research was conducted using primary data. The questionnaire is based on Stevens et al. (1995) and Andaleeb and Conway’s (2006) research. In order to meet survey goals, descriptive, bivariate and multivariate (exploratory factor analysis and reliability analysis) statistical analyses were conducted. The empirical results show that expectations scores are higher than perceptions scores, which indicate low level of service quality. Furthermore, this study identified seven factors that best explain customers’ expectations and two factors that best explain customers’ perceptions regarding restaurant service. The results of this study would help management identify the strengths and weaknesses of service quality and implement an effective strategy to meet the customers’ expectations.

scholarly journals The determinant of Budget Absorption in Jember University

2020 ◽  
Vol 9 (3) ◽  
pp. 78-85
Author(s):  
Noordiana Fourqoni Ardianne ◽  
Agung Budi Sulistiyo ◽  
Ahmad Roziq
Keyword(s):  
Human Resources ◽  
Secondary Data ◽  
Financial Statements ◽  
Primary Data ◽  
Goods And Services ◽  
Work Units ◽  
Planning Staff ◽  
The University ◽  
Budget Execution ◽  
Positive Effect

This study aims to determine the determinants of budget absorption at Jember University. Determinants of budget absorption include planning, budget execution, human resources, procurement of goods and services and coordination with other sectors or agencies. This study uses the positivism paradigm with a quantitative approach to test hypotheses, so the data analysis in this study uses hypothesis testing. The study was conducted at the University of Jember. Sources of data in this study are primary data sources and secondary data. Primary data in this study were obtained from questionnaires disebearkan to BPP Work Units, Planning Staff, and Finance Staff at the Head Office of Jember University. While the secondary data in this study is in the form of Jember University Financial Statements. The research sample was obtained using purposive sampling with a total of 63 people. The results showed that coordination with other sectors or agencies was an aspect that had a positive effect on budget absorption at Jember University.

scholarly journals Strategically Positioning the ASBAH Rice in Delhi NCR: A Study of Determinants of Consumer Buying Behaviour

2017 ◽  
Vol 4 (01) ◽  
Author(s):  
Navneet Gera ◽  
Ritu Bajaj
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Brand Awareness ◽  
Primary Data ◽  
Value For Money ◽  
Buying Behaviour

The study identifies the determinants of consumer buying behaviour for ASBAH rice products in order to strategize the positioning of their products in Delhi NCR. A survey was conducted to collect the primary data from 220 consumers from Delhi NCR. An exploratory factor analysis has been performed to identify key determinants of buying ASBAH Rice. The ASBAH has certain prescriptive approaches to enter and position the product in Delhi NCR. The results of the study state that brand awareness, promotion, buying intention and value for money are the key determinants of consumer buying behaviour and therefore company should focus more on creating brand awareness and image as well as promotion to establish the brand in the market.

Bayesian proportional hazards model with latent variables

2017 ◽  
Vol 28 (4) ◽  
pp. 986-1002 ◽  
Author(s):  
Deng Pan ◽  
Kai Kang ◽  
Chunjie Wang ◽  
Xinyuan Song
Keyword(s):  
Risk Factors ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Latent Variables ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Failure Time ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Hazards Model

We consider a joint modeling approach that incorporates latent variables into a proportional hazards model to examine the observed and latent risk factors of the failure time of interest. An exploratory factor analysis model is used to characterize the latent risk factors through multiple observed variables. In commonly used confirmatory factor analysis, the number of latent variables and their observed indicators are specified prior to analysis. By contrast, the exploratory factor analysis model allows such information to be fully determined by the data. A Bayesian approach coupled with efficient sampling methods is developed to conduct statistical inference, and the performance of the proposed methodology is confirmed through simulations. The model is applied to a study on the risk factors of chronic kidney disease for patients with type 2 diabetes.

scholarly journals The Reasons of Lack of Polish Young Potential Employees’ Interest in Universities as Employers in the Context of Perception of People Working in These Organizations

2019 ◽  
Vol 32 (2) ◽  
pp. 207-229
Author(s):  
Agnieszka Izabela Baruk ◽  
Anna Goliszek
Keyword(s):  
Factor Analysis ◽  
Internal Structure ◽  
Research Methods ◽  
Exploratory Factor Analysis ◽  
Critical Analysis ◽  
World Literature ◽  
Empirical Studies ◽  
Primary Data ◽  
Theoretical Part ◽  
The Way

Summary The article has a theoretical and empirical character. Identifying the internal structure of reasons of lack of Polish young potential employees’ interest in universities as employers was the main goal of this paper. To prepare its theoretical part the method of cognitive-critical analysis of world literature on marketing and management was applied. The results of this analysis show that the aspects connected with the mentioned reasons have not been studied yet. The more the opinions about the way of perception of universities’ employees in the comparison of other organizations’ employees have not been taken into account in the analysis. So one can talk about the existence of a cognitive gap and an empirical gap in this scope. Striving to reduce these gaps the empirical studies were conducted. The research covered representatives of Polish young potential employees. Gathered primary data were statistically analysed applying the following research methods and tests: exploratory factor analysis and Kruskal-Wallis test. The results of these analyses show that the opinions on relative perception of universities’ employees decide about differences in the structure of reasons of lack of interest in universities as employers. But the mentioned opinions are the element differentiating in a statistically significant way only one reason.

scholarly journals Validating Scales for Tourism Impacts, Quality of Life, and Support Tourism: An Exploratory Factor Approach

2019 ◽  
Vol 10 (5) ◽  
pp. 62-71
Author(s):  
I. Oladeji Kolawole
Keyword(s):  
Quality Of Life ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Convergent Validity ◽  
Measurement Instrument ◽  
Principal Component ◽  
Measurement Scale ◽  
Primary Data ◽  
Tourism Impacts

Abstract The purpose of this paper is to validate measurement instrument that can be used to determine tourism impacts, people’s quality of life, and support for tourism. The primary data for this study were collected from 394 households in Maun, Botswana. Exploratory factor analysis was performed to measure internal consistency, construct and content validity to explicate the robustness of the factor structures, using principal component analysis (PCA) as an extraction method. Exploratory factor analysis is an applied statistical technique used by researchers to determine relationships within a group of observed variables. The reliability coefficients for the factors were all strong, which shows that the measures were reliable for measuring the latent constructs including economic, socio-cultural, and environmental impacts, people’s quality of life, and support for tourism development. The results of the factor analysis validate the measurement scale and authenticate the psychometric properties of the tourism impacts, quality of life, and support for tourism scale items. The main contribution of this paper is the development and understanding of psychometrically reliable scale items with content and convergent validity that can be used in tourism studies.

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