scholarly journals Managing for Citizen Satisfaction: Is Good Not Enough?

2019 ◽  
Vol 5 (1) ◽  
pp. 21 ◽  
Author(s):  
Brian K. Collins ◽  
Hyun Joon Kim ◽  
Jie Tao
Keyword(s):  
Public Goods ◽  
Performance Management ◽  
Structural Equation ◽  
Equation Modeling ◽  
Citizen Satisfaction ◽  
The Public ◽  
Goods And Services ◽  
Public Managers ◽  
Using Data ◽  
Public Economy

Citizen satisfaction is a popular means of performance management. It underscores a common conception that citizens are customers who are concerned about the quality of public goods and services. We offer a theory that suggests the quantity of public goods and services is also important. We develop our theory based on democratic models of the public where citizens are concerned about equity and accessibility to public goods and services. Using data from two municipal surveys and Structural Equation Modeling (SEM), we test three hypotheses and find that both quality and quantity of public service provision are significant antecedents to citizen satisfaction. In our conclusion, we explain how these results call for a more complex conceptualization of the performance associated with managing for citizen satisfaction, and we recommend public managers develop and employ skills that recognize the complex consumptive and democratic attributes of citizens in a public economy.

Economic anxieties, fear of crime, and punitive attitudes in Latin America

2019 ◽  
Vol 22 (2) ◽  
pp. 181-206 ◽  
Author(s):  
Alexa J Singer ◽  
Cecilia Chouhy ◽  
Peter S Lehmann ◽  
Jessica N Stevens ◽  
Marc Gertz
Keyword(s):  
Latin American ◽  
Fear Of Crime ◽  
Structural Equation ◽  
Opinion Dynamics ◽  
Equation Modeling ◽  
Economic Insecurity ◽  
Punitive Attitudes ◽  
The Public ◽  
Economic Anxiety ◽  
Using Data

Using data from the 2012 AmericasBarometer survey collected in nine Latin American countries ( n =  14,705), this study examines two theoretically relevant potential sources of punitiveness: economic anxiety and fear of crime. Focusing on these two sources, we explore whether the public opinion dynamics often highlighted by punitiveness scholars also apply to the Latin American context and can thus be of value to explain recent movements towards punitive policies in that region. Generalized Structural Equation Modeling (GSEM) and bootstrapping are used to assess the direct effects of perceived national and personal economic insecurity on punitive sentiments as well as the indirect effects of these attitudes on punitiveness through fear of crime during a time of reduced economic growth, increased economic inequality, and harsh criminal justice policies. Results show that economic anxieties are positively associated with fear of crime, though their effects on support for increased punishments are mixed. Additionally, the effects of economic insecurity on punitiveness are partially mediated by fear of crime, supporting theoretical notions that insecurity produces fear of crime and subsequently influences punitiveness.

scholarly journals Public Vulnerability to the Police: A Quantitative Inquiry

2021 ◽  
pp. 009385482110084
Author(s):  
Joseph A. Hamm ◽  
Rosalind Searle ◽  
James D. Carr ◽  
Louie Rivers
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
The United States ◽  
Equation Modeling ◽  
Police Legitimacy ◽  
Convenience Sample ◽  
The Public ◽  
Majority Group ◽  
Group Members ◽  
Using Data

The recent protests regarding the state of policing in the United States clearly demonstrate that how the police do their job creates a salient potential for harm to the public. This study applies a multidimensional paradigm of risk perception to quantify evaluations of police-caused harm. Using data from a national (U.S.) convenience sample ( n = 1,890) that oversampled individuals who self-identified as black or Muslim, we tested whether these evaluations vary systematically (using confidence intervals), whether they covary with police legitimacy (using structural equation modeling), and the extent to which that covariance differs by demographic status (using multiple groups structural equation modeling). Our results suggest that black and Muslim individuals evaluate police-caused harm differently than do majority group members (white and Christian) on most, but not all, of the measured dimensions. We also find that those evaluations are predictive of trust and provide evidence of some level of consistency across communities.

Comparing respondents who passed versus failed an Instructional Manipulation Check: A case study about support for climate change policies

2021 ◽  
Vol 63 (4) ◽  
pp. 408-415
Author(s):  
Maria Rubio Juan ◽  
Melanie Revilla
Keyword(s):  
Climate Change ◽  
External Validity ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Manipulation Check ◽  
Climate Change Policies ◽  
Instructional Manipulation ◽  
Using Data

The presence of satisficers among survey respondents threatens survey data quality. To identify such respondents, Oppenheimer et al. developed the Instructional Manipulation Check (IMC), which has been used as a tool to exclude observations from the analyses. However, this practice has raised concerns regarding its effects on the external validity and the substantive conclusions of studies excluding respondents who fail an IMC. Thus, more research on the differences between respondents who pass versus fail an IMC regarding sociodemographic and attitudinal variables is needed. This study compares respondents who passed versus failed an IMC both for descriptive and causal analyses based on structural equation modeling (SEM) using data from an online survey implemented in Spain in 2019. These data were analyzed by Rubio Juan and Revilla without taking into account the results of the IMC. We find that those who passed the IMC do differ significantly from those who failed for two sociodemographic and five attitudinal variables, out of 18 variables compared. Moreover, in terms of substantive conclusions, differences between those who passed and failed the IMC vary depending on the specific variables under study.

scholarly journals A Model-Based Meta-Analysis of Willingness to Participate in Cancer Screening

2021 ◽  
Vol 18 (5) ◽  
pp. 2580
Author(s):  
Guangchao Charles Feng ◽  
Zhiliang Lin ◽  
Wanhua Ou ◽  
Xianglin Su ◽  
Qing Yan
Keyword(s):  
Structural Equation ◽  
Meta Analysis ◽  
Health Belief ◽  
Screening Tests ◽  
Equation Modeling ◽  
Willingness To Participate ◽  
Early Screening ◽  
The Public ◽  
Screening Programs ◽  
Belief Model

Although early screening tests are beneficial for the detection and treatment of cancers, many people have failed to participate in screening tests. The present study aims to explore the theoretical underpinning of low participation in screening programs using the method of meta-analytic structural equation modeling. It was found that the health belief model is the most adopted theoretical framework. Moreover, the intended uptake of screening was positively predicted only by cues to action, health literacy, and perceived susceptibility. As a result, a health intention model, including the three significant variables, is proposed. The practical implications of the findings are that health communication campaigns should focus on enlightening and engaging the public through all necessary means to raise awareness and transfer knowledge in relation to screening procedures as well as cancers per se.

scholarly journals Punishment Strategies across Societies: Conventional Wisdoms Reconsidered

Games ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 63
Author(s):  
Ramzi Suleiman ◽  
Yuval Samid
Keyword(s):  
Public Goods ◽  
Strong Predictor ◽  
Social Environments ◽  
Public Goods Game ◽  
The Public ◽  
Free Riders ◽  
The World ◽  
Emergence Of Cooperation ◽  
Using Data ◽  
The Cost

Experiments using the public goods game have repeatedly shown that in cooperative social environments, punishment makes cooperation flourish, and withholding punishment makes cooperation collapse. In less cooperative social environments, where antisocial punishment has been detected, punishment was detrimental to cooperation. The success of punishment in enhancing cooperation was explained as deterrence of free riders by cooperative strong reciprocators, who were willing to pay the cost of punishing them, whereas in environments in which punishment diminished cooperation, antisocial punishment was explained as revenge by low cooperators against high cooperators suspected of punishing them in previous rounds. The present paper reconsiders the generality of both explanations. Using data from a public goods experiment with punishment, conducted by the authors on Israeli subjects (Study 1), and from a study published in Science using sixteen participant pools from cities around the world (Study 2), we found that: 1. The effect of punishment on the emergence of cooperation was mainly due to contributors increasing their cooperation, rather than from free riders being deterred. 2. Participants adhered to different contribution and punishment strategies. Some cooperated and did not punish (‘cooperators’); others cooperated and punished free riders (‘strong reciprocators’); a third subgroup punished upward and downward relative to their own contribution (‘norm-keepers’); and a small sub-group punished only cooperators (‘antisocial punishers’). 3. Clear societal differences emerged in the mix of the four participant types, with high-contributing pools characterized by higher ratios of ‘strong reciprocators’, and ‘cooperators’, and low-contributing pools characterized by a higher ratio of ‘norm keepers’. 4. The fraction of ‘strong reciprocators’ out of the total punishers emerged as a strong predictor of the groups’ level of cooperation and success in providing the public goods.

A Psychological Process of Bureaucratic Whistleblowing: Applying the Theory of Planned Behavior

2021 ◽  
pp. 027507402110033
Author(s):  
Hongseok Lee ◽  
Minsung Michael Kang ◽  
Sun Young Kim
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Behavioral Control ◽  
Perceived Behavioral Control ◽  
Psychological Process ◽  
Public Employees ◽  
The Public ◽  
Using Data

Whistleblowing is a psychological process that involves the calculation of risks and benefits. While there exists a broad range of research on whistleblowing in the public sector, previous studies have not examined its entire process due to the limited focus on either whistleblowing intention or whistleblowing behavior. This study aims to fill this gap by applying the theory of planned behavior (TPB) to the whistleblowing context. Specifically, we examine how individual beliefs about the likely consequences of whistleblowing (attitude toward whistleblowing), others’ expectations about whistleblowing (subjective norm), and the capability of blowing the whistle (perceived behavioral control) influence public employees’ actual whistleblowing by way of their intention to report wrongdoings. A series of structural equation models are tested using data from the 2010 Merit Principles Survey. The findings show that the more the employees perceive that the consequences of whistleblowing are important, the more the key referents support whistleblowing, and the more the protections for whistleblowers are available, the more likely are their intentions to disclose wrongdoings and then actually engage in whistleblowing behavior. We conduct additional analyses for internal and external whistleblowers separately and find that there are both meaningful similarities and differences between the two groups. This study provides support for the validity of TPB as a theoretical framework for better understanding and explicating the psychological process of bureaucratic whistleblowing.

scholarly journals Attitudes toward Health Systems Financing in Chile

2021 ◽  
Vol 58 ◽  
pp. 004695802110201
Author(s):  
Pablo A. González ◽  
Laura L. Gutiérrez ◽  
Juan Carlos Oyanedel ◽  
Héctor Sánchez-Rodríguez
Keyword(s):  
Health Systems ◽  
Health Care Providers ◽  
Structural Equation ◽  
Public Attitudes ◽  
Equation Modeling ◽  
Care Providers ◽  
Public Provision ◽  
The Public ◽  
People’S Attitudes ◽  
Willingness To Contribute

This article presents an exploratory model to classify public attitudes towards health systems financing and organization. It comprises 5 factors (pay-as-you-use, solidarity, willingness to contribute, mixed financing, and public provision) measured by 17 indicators, selected through Exploratory Structural Equation Modeling (ESEM) applied to a sample of Chilean adults. Based on this model, cluster analysis proposed 2 groups: “Taxes-public” and “Insurance-choice,” representing 47% and 53% of interviewees, respectively. The results show differences between groups concerning the evaluation of both health care providers and insurers. The second cluster tends to evaluate them more harshly, showing less willingness to contribute further, less solidarity, more agreement with the current financing arrangement in terms of the mixture and its insurance (as opposed to purchasing of service based on health problems), and more support for choice of provider. These results highlight the need to consider people’s attitudes in the public discussion of health systems financing.

scholarly journals A public goods model of outcomes from online knowledge sharing mediated by mental model processing

2019 ◽  
Vol 23 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Ronald E. Rice ◽  
Marni Heinz ◽  
Ward van Zoonen
Keyword(s):  
Public Goods ◽  
Knowledge Sharing ◽  
Public Good ◽  
Mental Model ◽  
Structural Equation ◽  
Equation Modeling ◽  
Costs And Benefits ◽  
Learning Potential ◽  
Content Type ◽  
The Individual

Purpose This study aims to take a public goods approach to understand relationships between collecting and contributing knowledge to an online knowledge sharing portal (KSP), mental model processing and outcomes at the individual and collective levels. Design/methodology/approach This study reports on a survey (N = 602) among tax professionals, examining the perceived individual and collective benefits and costs associated with collecting and contributing knowledge. Hypotheses were tested using structural equation modeling. Findings Collecting and contributing knowledge led to considerable mental model processing of the knowledge. That in turn significantly influenced (primarily) individual and (some) collective costs and benefits. Results varied by the kinds of knowledge sharing. Whether directly from knowledge sharing, or mediated through mental modeling, the perceived costs and benefits may be internalized as an individual good rather than being interpreted at the collective level as a public good. Research limitations/implications The study is situated in the early stages of a wiki-type online KSP. A focus on the learning potential of the system could serve to draw in new users and contributors, heightening perceptions of the public goods dimension of a KSP. Practical implications A focus on the learning potential of the system could serve to draw in new users, and thus the number of subsequent contributors, heightening perceptions of the collective, public goods dimension of a KSP. Originality/value This study explores how knowledge sharing and mental model processing are directly and indirectly associated with individual and collective costs and benefits. As online knowledge sharing is both an individual and public good, costs and benefits must be considered from both perspectives.

scholarly journals Effects of Strategic Orientation on Performance of Telecommunication Sector in Nigeria

2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Niyi Israel Akeke ◽  
◽  
Adenike Rita Akeke ◽  
Ayodeji Muyideen Awolaj ◽  
Mathew Olufemi Oyebanji
Keyword(s):  
Structural Equation Modeling ◽  
Significant Influence ◽  
Structural Equation ◽  
Strategic Orientation ◽  
Equation Modeling ◽  
Telecommunication Sector ◽  
Line Managers ◽  
Strategic Orientations ◽  
Using Data ◽  
Technology Orientation

The study explores the potential influences of strategic orientation constructs of entrepreneurial, market and technology orientations on telecommunication firms’ performance using data obtained through structured questionnaires from 57 line managers and 300 customers of these firms. The data collected were subjected to the structural equation modeling technique. The results revealed that strategic orientation has a positive significant relationship with firm performance. Specifically, it showed that only technology orientation has a significant influence on telecommunication firms’ performance. The study contributes to the understanding of the rationale behind which set of strategic orientations should be implemented for improved level of performance in the telecommunication sector.

scholarly journals Enhancing the Innovation Performance of Small and Medium-Sized Enterprises Through Network Embeddedness

2020 ◽  
Vol 12 (3) ◽  
pp. 156-171
Author(s):  
Wisdom Wise Kwabla Pomegbe ◽  
Wenyuan Li ◽  
Courage Simon Kofi Dogbe ◽  
Charles Oduro Acheampong Otoo
Keyword(s):  
Structural Equation ◽  
Sampling Technique ◽  
Innovation Performance ◽  
Three Dimensions ◽  
Equation Modeling ◽  
External Resources ◽  
Goods And Services ◽  
Network Embeddedness ◽  
The Rich ◽  
Positive Effect

Based on Resource Based Theory (RBT), the competitiveness of Small and Medium-sized Enterprises (SMEs) depends on the uniqueness of resources used in the production and delivering of goods and services. Moreover, the innovation capability of SMEs is critical in enhancing their uniqueness. Various factors, however, could potentially influence SME innovation performance. This present study thus focuses on how SME innovation performance could be enhanced through the three dimensions of network embeddedness (relational, structural and cognitive). Founded on Resource Dependency Theory (RDT), the study seeks to demonstrate how SMEs could tap into the rich external resources within the networks they are embedded in. The study was based on 388 SMEs selected using a purposive sampling technique. A structured questionnaire was used for the data collection, with the data analyzed by structural equation modeling performed in Amos (v.20). The findings revealed that relational, structural and cognitive embeddedness had a positive effect on innovation performance, while structural embeddedness had the greatest impact on SME innovation performance. As such, SMEs seeking to improve their innovation performance through networks should pay critical attention to the network tie and density. Past studies on network embeddedness and innovation performance have shown conflicting results, and therefore this present study makes a notable contribution to the ongoing debate. Past studies have indicated a positive, negative, inverted u-shape, and even no significant relationship at all between the various dimensions of network embeddedness and innovation performance.

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