Tracing the effects of politicization on public procurement specialists’ decision-making through values: A structural equation model of the broker-purist lens

2017 ◽  
Vol 17 (1) ◽  
pp. 53-88 ◽  
Author(s):  
Alexandru V. Roman
Keyword(s):  
Decision Making ◽  
Public Administration ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Public Procurement ◽  
Equation Model ◽  
Individual Level ◽  
The Past ◽  
The Individual ◽  
Bp Model

Currently, our understandings of the dynamics behind the effects of politicization on values and on administrative decision-making remain largely muddled and far from complete. The richness of theoretical accounts, amassed over the past eight decades, has yielded only a limited number of empirical examinations. This failure to develop a coherent collection of empirical works can be for the most part attributed to the complexity associated with studying values, particularly to the lack of clear and testable theories and models. This article attempts to address this deficit and to add to our understandings of the association between values and administrative decision-making at the individual level by explicitly testing the Broker-Purist (BP) model (within a sample of public procurement specialists). It is found that the BP model fits the data well, which suggest the framework as a valid and useful perspective for conceptualizing the effects of environmental politicization on administrative decision-making in public procurement specifically, and in public administration in general.

scholarly journals Pengaruh Elemen Sensory Branding Terhadap Perilaku Pengambilan Keputusan Konsumen Dalam Membeli Aqua Dengan Pendekatan Neuromarketing Di Kabupaten Jember

2017 ◽  
Vol 4 (1) ◽  
pp. 44
Author(s):  
Dimas Khurniawan ◽  
Mohammad Dimyati ◽  
Deasy Wulandari
Keyword(s):  
Decision Making ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Purposive Sampling ◽  
Instrument Analysis ◽  
Decision Making Behavior ◽  
The Impact

The purpose of this study acclaims the important of Auditory, Visual and Tactile in affecting consumer’s decision makingbehavior of buying, it is also to figure out it’s impact in Aqua. Thus, it is important to study “The Impact Of SensoryBranding’s Elements On Consumer’s Decision Making Behavior Of Buying Aqua With Neuromarketing Approach InJember”. The population in this study are Aqua’s consumers in Jember. Sampling is taken using purposive sampling methodfrom 100 respondents. Instrument analysis in this study is performed using Structural Equation Model (SEM) withconfirmatory approach. The result shows that: 1) auditory significantly affects consumer’s decision making behavior of buyingAqua in Jember, 2) visual significantly affects consumer’s decision making behavior of buying Aqua in Jember, and 3) tactilesignificantly affects consumer’s decision making behavior of buying Aqua in Jember.

scholarly journals Does decision-making style predict managers’ entrepreneurial intentions?

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Besnik A. Krasniqi ◽  
Gentrit Berisha ◽  
Justina Shiroka Pula
Keyword(s):  
Decision Making ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Entrepreneurial Intention ◽  
Equation Model ◽  
Entrepreneurial Intentions ◽  
Research Subject ◽  
Country Study ◽  
The Way

AbstractThe purpose of this paper is to investigate whether the way managers make decisions (their decision-making style—DMS) predicts their entrepreneurial intentions (EI), a research subject that has been largely ignored in the literature. Developing an understanding of entrepreneurial intention factors that attract managers to entrepreneurship is indispensable for organizations. A sample of 230 managers of companies based in Kosovo was asked to take the entrepreneurial intention questionnaire and the General Decision-Making Style (GDMS) questionnaire. Bridging two strands of literature on decision-making and entrepreneurial intention and using the Structural Equation Model (SEM), it is concluded that spontaneous and intuitive styles predict managers’ entrepreneurial intentions. Considering the limitations of this single-country study, the implications for theory and policy are discussed.

scholarly journals Feasibility Analysis of Green Travel in Public Transportation: A Case Study of Wuhan

2020 ◽  
Vol 12 (16) ◽  
pp. 6531
Author(s):  
Junjun Zheng ◽  
Yi Cheng ◽  
Gang Ma ◽  
Xue Han ◽  
Liukai Yu
Keyword(s):  
Complex Network ◽  
Structural Equation Model ◽  
Public Transportation ◽  
Structural Equation ◽  
Equation Model ◽  
Subjective Norms ◽  
Urban Traffic ◽  
Factors Affecting ◽  
Individual Level ◽  
Behavioral Attitudes

The demand to alleviate urban traffic and reduce air pollution puts forward high requirements for green travel in public transportation. Thus, study of the feasibility of urban green travel in public transportation is necessary. This study focuses on it from two aspects: City level by complex network and individual level by structural equation model. As for the former, point of interest data on the spatial distribution of urban public transportation in Wuhan city are quantitatively analyzed. Then, a complex network of public transportation in Wuhan is constructed by using the Space L method, and the network characteristics are analyzed. Results show that accessibility coverage is mainly concentrated in the central urban area, and two significant central nodes exist, namely, Linshi and Zhaohu stations. At the individual level, 354 valid questionnaires and the structural equation model were used to explore the factors affecting individual intention of public transportation. Behavioral perceptual outcome, behavioral attitudes, and subjective norms have positive influences on the behavioral intention of public transportation, among which the behavioral attitudes are the most significant, and the subjective norms had the lowest influence. Some suggestions are proposed for Wuhan to improve urban accessibility and for individuals to increase green travel in public transportation.

Horizontal, Vertical, and Hybrid: An Empirical Look at the Forms of Accountability

2020 ◽  
Vol 52 (9) ◽  
pp. 1410-1438
Author(s):  
Christopher G. Reddick ◽  
Tansu Demir ◽  
Bruce Perlman
Keyword(s):  
United States ◽  
Public Administration ◽  
Structural Equation Model ◽  
Structural Equation ◽  
The United States ◽  
Equation Model ◽  
City Managers ◽  
City Governments ◽  
Important Relationship ◽  
Survey Sample

The existing accountability research in public administration either provides conceptual analyses and definitions of forms of accountability or case studies on accountability. They focus on the structure of responsibility or responding behavior. This article is different in that it tests actors’ perceptions of the three commonly cited forms of accountability identified in the literature—vertical, horizontal, and hybrid. We test accountability on a national survey sample of city managers across the United States. Our structural equation model indicates that there is both vertical and horizontal accountability present in city governments in the United States supporting a hybrid model. The results of this study add to the literature because most of the existing research on accountability does not test this important relationship nor examine actors’ perceptions.

Feeling unsafe in Italy’s biggest cities

2020 ◽  
pp. 147737082093207
Author(s):  
Riccardo Valente ◽  
Sergi Valera Pertegas ◽  
Joan Guàrdia Olmos
Keyword(s):  
Structural Equation Model ◽  
Fear Of Crime ◽  
Structural Equation ◽  
Safety Management ◽  
Explanatory Power ◽  
Equation Model ◽  
The Other ◽  
The Past ◽  
Urban Safety ◽  
Prior Literature

Crime and fear of crime are key challenges for civic coexistence in contemporary cities, specifically because of the unequal relationship between the two phenomena. In the case of Italy, for instance, even though crime has been trending downward over the past few decades, people are increasingly concerned about their safety. Based on survey data ( N = 6002) collected in Milan, Naples, Rome, and Turin, this research provides a cross-city comparison of the factors that influence individuals’ feelings of unsafety. The results of a multi-group structural equation model endorse the prior literature by revealing that being the victim of a crime predicts higher levels of subjective unsafety. On the other hand, perceived disorder in the neighbourhood, community disaffection, and objective and subjective measures of social exclusion are also consistent predictors of residents’ fears in all four cities. All in all, the model outputs indicate that non-criminal factors have a higher explanatory power than victimization for perceived unsafety. The implications of these findings for urban safety management are discussed.

scholarly journals Predicting Students' Attitudes Toward Collaboration: Evidence From Structural Equation Model Trees and Forests

2021 ◽  
Vol 12 ◽  
Author(s):  
Jialing Li ◽  
Minqiang Zhang ◽  
Yixing Li ◽  
Feifei Huang ◽  
Wei Shao
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Data Driven ◽  
Group Model ◽  
Data Driven Decision Making ◽  
Model Trees ◽  
Students Attitudes

Numerous studies have shed some light on the importance of associated factors of collaborative attitudes. However, most previous studies aimed to explore the influence of these factors in isolation. With the strategy of data-driven decision making, the current study applied two data mining methods to elucidate the most significant factors of students' attitudes toward collaboration and group students to draw a concise model, which is beneficial for educators to focus on key factors and make effective interventions at a lower cost. Structural equation model trees (SEM trees) and structural equation model forests (SEM forests) were applied to the Program for International Student Assessment 2015 dataset (a total of 9,769 15-year-old students from China). By establishing the most important predictors and the splitting rules, these methods constructed multigroup common factor models of collaborative attitudes. The SEM trees showed that home educational resources (split by “above-average or not”), home possessions (split by “disadvantaged or not”), mother's education (split by “below high school or not”), and gender (split by “male or female”) were the most important predictors among the demographic variables, drawing a 5-group model. Among all the predictors, achievement motivation (split by “above-average or not”) and sense of belonging at school (split by “above-average or not” and “disadvantaged or not”) were the most important, drawing a 6-group model. The SEM forest findings proved the relative importance of these variables. This paper discusses various interpretations of these results and their implications for educators to formulate corresponding interventions. Methodologically, this research provides a data mining approach to discover important information from large-scale educational data, which might be a complementary approach to enhance data-driven decision making in education.

scholarly journals The effect of creative thinking in improving decision making

2021 ◽  
pp. 1765-1770
Author(s):  
Ahmad Hariri ◽  
Supari Muslim ◽  
Ekohariadi Ekohariadi ◽  
Eppy Yundra
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Vocational Education ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Creative Thinking ◽  
Thinking Skills ◽  
Equation Model ◽  
Sampling Techniques ◽  
Analysis Techniques

Vocational education is no longer just an education that prepares its graduates to work or become mediocre workers. Creative thinking skills are the basis of science that is very important for students. This research uses a quantitative approach and the population of this study included 106 Cadets of The School of Aviators in Indonesia. Sampling techniques taken were saturated sampling techniques and the samples were taken as many as 106 cadets. Data analysis techniques used were Structural Equation Model (SEM) with AMOS help (Analysis of Moment Structures) program. The results of this study show that critical thinking has a significant effect on decision making.

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