Social capital and public willingness to cooperate with the police in China

2020 ◽  
Vol 43 (2) ◽  
pp. 271-283
Author(s):  
Kang Hu ◽  
Rong Hu ◽  
Ivan Sun ◽  
Yuning Wu
Keyword(s):  
Social Capital ◽  
Regression Models ◽  
Social Trust ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
Content Type ◽  
Collective Resistance ◽  
Mediating Mechanisms ◽  
Chinese Public ◽  
Willingness To Cooperate

Purpose Public cooperation with the police is of great significance in the maintenance of social security and social harmony, but studies investigating the mechanisms of public cooperation with the police in China are scarce. Using survey data obtained from Xiamen, China, the purpose of this paper is to examine the effects of social capital on willingness to cooperate with the police and their mediating mechanisms. Design/methodology/approach Data with 938 respondents were used in this study. Ordinary least squares regression models were used to test the influence of social capital on the willingness of the Chinese public to cooperate with the police and its mediating mechanisms. Findings The results show that associational life participation, social trust and neighborhood cohesion can all enhance public willingness to cooperate with the police by cultivating public spirit or trust in government, whereas participation in community collective resistance is negatively correlated with willingness to cooperate with the police. Theoretical explanations are offered to understand different effects of social capital elements on public cooperation with the police, and possible ways to foster such cooperation are discussed. Originality/value This paper takes the lead in examining the effects of social capital on willingness to cooperate with the police and their mediating mechanisms in China.

Reconciling temporal conflicts in innovation ambidexterity: the role of TMT temporal leadership

2020 ◽  
Vol 24 (8) ◽  
pp. 1899-1920
Author(s):  
Jiawen Chen ◽  
Linlin Liu
Keyword(s):  
Regression Models ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
Exploration And Exploitation ◽  
Temporal Perspective ◽  
Content Type ◽  
Temporal Aspects ◽  
Positive Effect ◽  
Practical Implications

Purpose This study aims to extend the temporal perspective on ambidexterity by investigating how and under what conditions top management team (TMT) temporal leadership improves innovation ambidexterity. Design/methodology/approach Using a questionnaire survey, data were collected from 165 small- and medium-sized enterprises in China. Ordinary least squares regression models were applied to test the hypotheses. Findings The findings show that TMT temporal leadership has a positive effect on innovation ambidexterity and temporal conflict mediates this relationship. Market dynamism and institutional support moderate the indirect effect of TMT temporal leadership on innovation ambidexterity. Practical implications Managers wishing to promote exploration and exploitation simultaneously should pay attention to the temporal aspects of their innovation strategy and improve their temporal leadership activities. Originality/value This study highlights the temporal conflicts in ambidexterity and clarifies the enabling role of TMT temporal leadership. It contributes new insights to the research on organizational ambidexterity and strategic leadership.

Explaining procedural justice during police-suspect encounters

2017 ◽  
Vol 40 (3) ◽  
pp. 574-586 ◽  
Author(s):  
John D. McCluskey ◽  
Michael Reisig
Keyword(s):  
Police Officers ◽  
Regression Models ◽  
Ordinary Least Squares ◽  
Situational Factors ◽  
Self Control ◽  
Social Characteristics ◽  
Observation Data ◽  
Least Squares Regression ◽  
Content Type ◽  
Police Encounters

Purpose The purpose of this paper is to develop and test a series of hypotheses regarding the use of procedurally just policing during suspect encounters. Design/methodology/approach Systematic social observation data from police encounters with suspects are used (N=939). Ordinary least-squares regression models are estimated to evaluate the effects of four variable clusters (i.e. suspect self-presentation, situational factors, suspect social characteristics, and officer characteristics) on procedurally just policing practices. Findings Results from the regression models show that the most salient predictors of police officers exercising authority in a procedurally just manner include the level of self-control displayed by suspects, the number of citizen onlookers, whether the encounter involved a traffic problem, the race/ethnicity of suspects, and suspects’ social status. Research limitations/implications This study focused only on police-suspects encounters where compliance requests were made. While the size of the sample is relatively large, the results from this study do not generalize to all types of police encounters with members of the public. Originality/value This research adds to an emerging body of research focused on predicting procedurally just practices in police encounters. The findings support increased attention to theories that explain police-citizens interactions, and also indicate that further consideration to the measurement of police behavior is warranted.

scholarly journals Least Likely Observations in Regression Models for Categorical Outcomes

2002 ◽  
Vol 2 (3) ◽  
pp. 296-300 ◽  
Author(s):  
Jeremy Freese
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Binary Logistic Regression ◽  
Positive Outcome ◽  
Ordinary Least Squares ◽  
Parameter Estimates ◽  
Least Squares Regression ◽  
Binary Logistic Regression Model ◽  
Ordered Logistic Regression ◽  
Negative Outcome

This article presents a method and program for identifying poorly fitting observations for maximum-likelihood regression models for categorical dependent variables. After estimating a model, the program leastlikely will list the observations that have the lowest predicted probabilities of observing the value of the outcome category that was actually observed. For example, when run after estimating a binary logistic regression model, leastlikely will list the observations with a positive outcome that had the lowest predicted probabilities of a positive outcome and the observations with a negative outcome that had the lowest predicted probabilities of a negative outcome. These can be considered the observations in which the outcome is most surprising given the values of the independent variables and the parameter estimates and, like observations with large residuals in ordinary least squares regression, may warrant individual inspection. Use of the program is illustrated with examples using binary and ordered logistic regression.

The impact of executives’ perceptions of environmental threats and organizational slack on innovation strategies

2016 ◽  
Vol 7 (2) ◽  
pp. 216-230 ◽  
Author(s):  
Chengyuan Wang ◽  
Biao Luo ◽  
Yong Liu ◽  
Zhengyun Wei
Keyword(s):  
Cognitive Theory ◽  
Environmental Changes ◽  
Ordinary Least Squares ◽  
Organizational Slack ◽  
Least Squares Regression ◽  
Content Type ◽  
Environmental Threats ◽  
Innovation Strategies ◽  
The Impact ◽  
The Relationship

Purpose The paper aims to study the relationship between executives’ perceptions of environmental threats and innovation strategies and investigate the moderating effect of contextual factor (i.e. organizational slack) on such relations. It proposes a dualistic relationship between executives’ perceptions of environmental threats and innovation strategies, in which different perceptions of environmental threats will lead to corresponding innovation strategies, and dyadic organizational slack can promote such processes. Design/methodology/approach The paper is based on a survey with 163 valid questionnaires, which were all completed by executives. Hierarchical ordinary least-squares regression analysis is used to test the hypotheses proposed in this paper. Findings The paper provides empirical insights about that executives tend to choose exploratory innovation when they perceive environmental changes as likely loss threats, yet adopt exploitative innovation when perceiving control-reducing threats. Furthermore, unabsorbed slack (e.g. financial redundancy) positively moderates both relationships, while absorbed slack (e.g. operational redundancy) merely positively influences the relationship between the perception of control-reducing threats and exploitative innovation. Originality/value The paper bridges the gap between organizational innovation and cognitive theory by proposing a dualistic relationship between executives’ perceptions of environmental threats and innovation strategies. The paper further enriches innovation studies by jointly considering both subjective and objective influence factors of innovation and argues that organizational slack can moderate such dualistic relationship.

Estimating defaults in organized security lending markets

2016 ◽  
Vol 24 (3) ◽  
pp. 343-362
Author(s):  
Latif Cem Osken ◽  
Ceylan Onay ◽  
Gözde Unal
Keyword(s):  
Credit Risk ◽  
Stock Returns ◽  
Stock Price ◽  
Price Volatility ◽  
Equity Market ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
Content Type ◽  
Central Counterparties ◽  
Risk Determinants

Purpose This paper aims to analyze the dynamics of the security lending process and lending markets to identify the market-wide variables reflecting the characteristics of the stock borrowed and to measure the credit risk arising from lending contracts. Design/methodology/approach Using the data provided by Istanbul Settlement and Custody Bank on the equity lending contracts of Securities Lending and Borrowing Market between 2010 and 2012 and the data provided by Borsa Istanbul on Equity Market transactions for the same timeframe, this paper analyzes whether stock price volatility, stock returns, return per unit amount of risk and relative liquidity of lending market and equity market affect the defaults of lending contracts by using both linear regression and ordinary least squares regression for robustness and proxying the concepts of relative liquidity, volatility and return constructs by more than variable to correlate findings. Findings The results illustrate a statistically significant relationship between volatility and the default state of the lending contracts but fail to establish a connection between default states and stock returns or relative liquidity of markets. Research limitations/implications With the increasing pressure for clearing security lending contracts in central counterparties, it is imperative for both central counterparties and regulators to be able to precisely measure the risk exposure due to security lending transactions. The results gained from a limited set of lending transactions merit further studies to identify non-borrower and non-systemic credit risk determinants. Originality/value This is the first study to analyze the non-borrower and non-systemic credit risk determinants in security lending markets.

Personality, risk tolerance and social network use: an exploratory study

2016 ◽  
Vol 42 (6) ◽  
pp. 536-552 ◽  
Author(s):  
Shaista Wasiuzzaman ◽  
Siavash Edalat
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Financial Risk ◽  
Ordinary Least Squares ◽  
Risk Tolerance ◽  
Network Activity ◽  
Least Squares Regression ◽  
Content Type ◽  
Financial Risk Tolerance

Purpose – The vast amount of information available via online social networks (OSN) makes it a very good avenue for understanding human behavior. One of the human characteristics of interest to financial practitioners is an individual’s financial risk tolerance. The purpose of this paper is to look at the relationship between an individual’s OSN behavior and his/her financial risk tolerance. Design/methodology/approach – The study uses data collected from a sample of 220 university students and the backward variables selection ordinary least squares regression analysis technique to achieve its objective. Findings – The results of the study find that the frequency of logging on to social network sites indicates an individual who has higher financial risk tolerance. Additionally, the increasing use of social networks for social connection is found to be associated with lower financial risk tolerance. The results are mostly consistent when the sample is split based on prior financial knowledge. Originality/value – To the authors’ knowledge this is the first study which documents the possibility of understanding an individual’s financial risk tolerance via his/her social network activity. This provides investment/financial consultants with more avenues for gathering information in order to understand their current or potential clients hence providing better services.

Quality financial inclusion and its determinants in South Africa: evidence from survey data

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kudakwashe Joshua Chipunza ◽  
Ashenafi Fanta
Keyword(s):  
South Africa ◽  
Survey Data ◽  
Financial Services ◽  
Ordinary Least Squares ◽  
Financial Inclusion ◽  
Least Squares Regression ◽  
Content Type ◽  
Demographic Groups ◽  
Financial Products ◽  
Data Limitations

PurposeThe study measured quality financial inclusion, a more comprehensive measure of financial inclusion, and examined its determinants at a consumer level in South Africa.Design/methodology/approachThis study leveraged on FinScope 2015 survey data to compute a quality financial inclusion index using polychoric principal component analysis. Subsequently, a heteroscedasticity consistent ordinary least squares regression model was employed to assess determinants of quality financial inclusion.FindingsThe empirical findings indicated that gender, education, financial literacy, income, location and geographical proximity determine quality financial inclusion. These findings could inform policymakers and financial services providers on how quality financial inclusion can be promoted through tailoring financial products for various socio-demographic groups.Research limitations/implicationsDue to data limitations, the study was confined to South Africa and did not capture digital financial inclusion. Hence, future studies could replicate the study in Sub-Saharan Africa's context and compute an index that captures digital financial inclusion.Practical implicationsThese findings could inform policymakers and financial services providers on how quality financial inclusion can be promoted through tailoring financial products for various socio-demographic groups.Originality/valueThis study proposed a more comprehensive measure of quality financial inclusion from a demand-side perspective by accounting for important dimensions that include diversity, affordability, appropriateness and flexibility of financial products and services.

Audit committee characteristics and the moderating effect of Malaysian code of corporate governance on IPO liquidity

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amal Mohammed Al-Masawa ◽  
Rasidah Mohd-Rashid ◽  
Hamdan Amer Al-Jaifi ◽  
Shaker Dahan Al-Duais
Keyword(s):  
Corporate Governance ◽  
Initial Public Offerings ◽  
Audit Committee ◽  
Ordinary Least Squares ◽  
Moderating Effect ◽  
Least Squares Regression ◽  
Content Type ◽  
Code Of Corporate Governance ◽  
The Impact ◽  
The Relationship

Purpose This study aims to investigate the link between audit committee characteristics and the liquidity of initial public offerings (IPOs) in Malaysia, which is an emerging economy in Southeast Asia. Another purpose of this study is to examine the moderating effect of the revised Malaysian code of corporate governance (MCCG) on the link between audit committee characteristics and IPO liquidity. Design/methodology/approach The final sample consists of 304 Malaysian IPOs listed in 2002–2017. This study uses ordinary least squares regression method to analyse the data. To confirm this study’s findings, a hierarchical or four-stage regression analysis is used to compare the t-values of the main and moderate regression models. Findings The findings show that audit committee characteristics (size and director independence) have a positive and significant relationship with IPO liquidity. Also, the revised MCCG positively moderates the relationship between audit committee characteristics and IPO liquidity. Research limitations/implications This study’s findings indicate that companies with higher audit committee independence have a more effective monitoring mechanism that mitigates information asymmetry, thus reducing adverse selection issues during share trading. Practical implications Policymakers could use the results of this study in developing policies for IPO liquidity improvements. Additionally, the findings are useful for traders and investors in their investment decision-making. For companies, the findings highlight the crucial role of the audit committee as part of the control system that monitors corporate governance. Originality/value To the authors’ knowledge, this work is a pioneering study in the context of a developing country, specifically Malaysia that investigates the impact of audit committee characteristics on IPO liquidity. Previously, the link between corporate governance and IPO liquidity had not been investigated in Malaysia. This study also contributes to the IPO literature by providing empirical evidence regarding the moderating effect of the revised MCCG on the relationship between audit committee characteristics and IPO liquidity.

The determinants of internet risk disclosure: empirical study of Egyptian listed companies

2017 ◽  
Vol 32 (8) ◽  
pp. 746-767 ◽  
Author(s):  
Ali Khalil ◽  
Mona Maghraby
Keyword(s):  
Listed Companies ◽  
Ordinary Least Squares ◽  
Risk Information ◽  
The Internet ◽  
Least Squares Regression ◽  
Risk Disclosure ◽  
Content Type ◽  
Reporting Practices ◽  
Board Characteristics ◽  
The Impact

Purpose The purpose of this paper is to contribute to the existing disclosure literature by examining the determinants of corporate risk disclosure (CRD) in the internet reporting for a sample of Egyptian listed companies on the Egyptian Stock Exchange (EGX). Design/methodology/approach This study depends on a sample of 76 Egyptian companies included in the EGX 100 in the period 2012-2014. The study applies a content analysis and uses a sentence-based method to measure CRD in the internet reporting. Ordinary least-squares regression analysis is used to examine the impact of firm and board characteristics on CRD in the internet reporting. Findings The empirical analysis shows that large Egyptian companies tend to disclose more risk information in their internet reporting. Moreover, the results indicate that there is a significant positive association between sector type and CRD in the internet reporting. The results show non-significant association between CRD and other firm characteristics (cross listing and level of risk). Finally, there are no significant associations between CRD and board characteristics variables (board size, board composition and CEO duality). Research limitations/implications The study’s findings have practical implications. It aids in informing policy makers considering implementing new economic reform programs about the properties of Egyptian companies that disclose risk information in their internet reporting. It provides insights on CRD in Egyptian companies for standards setters and professional authorities to improve risk reporting practices to help stakeholders in making good decisions. Originality/value This study is one of the first studies to examine the determinants of CRD in the internet reporting for a sample of Egyptian companies.

The role of customer experience touchpoints in driving loyalty intentions in services

2018 ◽  
Vol 30 (5) ◽  
pp. 444-457 ◽  
Author(s):  
Marco Ieva ◽  
Cristina Ziliani
Keyword(s):  
Customer Loyalty ◽  
Service Sector ◽  
Service Providers ◽  
Management Strategies ◽  
Customer Experience ◽  
Ordinary Least Squares ◽  
Mobile Service ◽  
Least Squares Regression ◽  
Content Type ◽  
Loyalty Intentions

Purpose The explosion in the number of touchpoints is putting pressure on companies to design omnichannel customer experiences aimed at achieving long-term customer loyalty. The purpose of this paper is to examine the relative importance of 24 touchpoints in contributing to customer loyalty intentions. Design/methodology/approach Data were collected by means of a survey on almost 6,000 subjects belonging to the Nielsen consumer panel. Two ordinary least squares regression models with clustered standard errors estimate the relationship between touchpoint exposure – measured in terms of reach, frequency and positivity – and customer loyalty intentions in the mobile service sector. Findings Reach has a significant relationship with customer loyalty intentions as far as eight touchpoints are concerned. Positivity, when controlling for frequency of exposure, is related to customer loyalty intentions as far as nine touchpoints are concerned. Practical implications Results provide guidance for mobile service providers on customer experience management strategies and specifically on touchpoint prioritization, adaptation, monitoring and design. Originality/value This study addresses two relevant research gaps. First, most studies focus on single or a few touchpoints without considering the variety of touchpoints within the customer journey (Lemon and Verhoef, 2016). Second, no studies focus on the relative contribution of touchpoints to customer loyalty intentions (Homburg et al., 2017).

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