Empirical research suggests that traffic enforcement is the most common type of proactive activity police officers engage in on a daily basis. Further, agencies often use traffic…
Abstract
Purpose
Empirical research suggests that traffic enforcement is the most common type of proactive activity police officers engage in on a daily basis. Further, agencies often use traffic enforcement to achieve both traffic safety and crime control. Given these goals, the purpose of this paper is to investigate whether (and to what extent) officers are accurately targeting their proactive traffic enforcement with crime and vehicle crashes in two agencies.
Design/methodology/approach
The study examines traffic enforcement patterns in two agencies to see whether proactive traffic enforcement aligns spatially with crime and vehicle crashes. This study employs negative binomial regression models with clustered standard errors to investigate this alignment at the micro-spatial level. Key variables of interest are measured with police calls for service data, traffic citation data and vehicle crash data from two law enforcement jurisdictions.
Findings
High levels of spatial association are observed between traffic accidents and crime in both agencies, lending empirical support to the underlying theories of traffic enforcement programs that also try to reduce crime (i.e. “DDACTS”). In both agencies, traffic accidents also appear to be the most prominent predictor of police proactive traffic enforcement activities, even across different times of day. However, when vehicle crashes are accounted for, the association between crime and traffic stops is weaker, even during times of day when agencies believe they are using proactive traffic enforcement as a crime deterrent.
Originality/value
No prior study to authors knowledge has examined the empirical association between police proactive traffic activities and crime and traffic accidents in practice. The current study seeks to fill that void by investigating the realities of traffic stops as practiced daily by police officers, and their alignment with crime and vehicle crashes. Such empirical inquiry is especially important given the prevalent use of traffic enforcement as a common proactive policing tool by police agencies to control both traffic and crime problems.
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Christopher S. Koper, Cynthia Lum, Xiaoyun Wu and Noah Fritz
To measure the practice and management of proactive policing in local American police agencies and assess them in comparison to recommendations of the National Academies of…
Abstract
Purpose
To measure the practice and management of proactive policing in local American police agencies and assess them in comparison to recommendations of the National Academies of Sciences (NAS) Committee on Proactive Policing.
Design/methodology/approach
A survey was conducted with a national sample of American police agencies having 100 or more sworn officers to obtain detailed information about the types of proactive work that officers engage in, to quantify their proactive work and to understand how the agencies measure and manage those activities. Responding agencies (n = 180) were geographically diverse and served populations of approximately half a million persons on average.
Findings
Proactivity as practiced is much more limited in scope than what the NAS envisions. Most agencies track only a few forms of proactivity and cannot readily estimate how much uncommitted time officers have available for proactive work. Measured proactivity is mostly limited to traffic stops, business and property checks and some form of directed or general preventive patrol. Many agencies have no formal policy in place to define or guide proactive activities, nor do they evaluate officer performance on proactivity with a detailed and deliberate rubric.
Originality/value
This is the first national survey that attempts to quantify proactive policing as practiced broadly in the United States. It provides context to the NAS recommendations and provides knowledge about the gap between practice and those recommendations.
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Xiaoyun Li, Suicheng Li, Jianqi Qiao and Mengchao Wu
This study aims to develop a moderated mediation model to explain the practices of supply base management and how they can achieve innovation performance, and the authors explore…
Abstract
Purpose
This study aims to develop a moderated mediation model to explain the practices of supply base management and how they can achieve innovation performance, and the authors explore the boundary conditions of this implementation mechanism.
Design/methodology/approach
The authors used the bootstrap procedure to conduct empirical tests on 328 Chinese manufacturers to verify the proposed model.
Findings
The results showed that supplier innovation focus, supply-base structuring and long-term relationship focus have a positive impact on innovation performance through supplier innovativeness, and the mediation performs differently under technology and demand uncertainty.
Research limitations/implications
The authors only focused on innovation performance, and it does not explore the links between supply base management and other performance outcomes. This study involves part of the supply network which is easier to manage, i.e. supply base. The authors ignored the importance of other members in supply network. Finally, the data obtained in this study belong to the cross-sectional data during the same period but it accomplishes the research aim well.
Practical implications
The focal firm needs to improve their supply base composition, establish permeable organizational boundaries, and build long-term strategic partnerships characterized by equality and trust with suppliers to stimulate supply base members to make innovative contributions.
Originality/value
This study complements the implementation path of manufacturers around innovation, emphasizing multidimensional characteristics of supply base management. And this study clarifies the mechanism and boundary conditions between supply base management and innovation performance.
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The purpose of this paper is to examine China-Africa educational cooperation under the framework of Forum on China-Africa Cooperation (FOCAC) while illustrating the modalities of…
Abstract
Purpose
The purpose of this paper is to examine China-Africa educational cooperation under the framework of Forum on China-Africa Cooperation (FOCAC) while illustrating the modalities of Sino-Africa educational cooperation.
Design/methodology/approach
Based on empirical and documentary analysis, the paper describes and explores the unique features of China-Africa educational cooperation.
Findings
In the past decades, China's expanding engagement with Africa in the field of international development assistance has attracted great attention and given rise to mixed reactions and arguments at the international level. China's cooperation with Africa has a long and notable history, dating back to the 1950s. China's cooperation with other developing countries is known as South-South development cooperation, based on principles of equality, mutual benefit, solidarity and no conditionality. With a thorough and critical analysis of the decision-making mechanism and the practices of China's educational cooperation with Africa, this paper puts forward some important issues regarding the perspective of sustainability and effectiveness in Chinese cooperative arrangements.
Research limitations/implications
The paper tries to explain the dynamic and the practices of China's education engagement with Africa and puts forward key challenges regarding its effectiveness toward new strategic partnerships. However, the answers to these questions require some innovative measures in the future practices of China-Africa educational cooperation.
Originality/value
The China-Africa education partnership is not a stand-alone sector, which can be better understood in the context of the historical development of China-Africa cooperation and under the framework of the FOCAC.
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Zi Xuan Chan, Yibai Wang, Lin Yuan, Xiaoyun Chen and Yukun Feng
Building on upper echelons theory, this study explores the influence of managerial cognition on firm innovation during times of crisis. Specifically, we aim to disentangle the…
Abstract
Purpose
Building on upper echelons theory, this study explores the influence of managerial cognition on firm innovation during times of crisis. Specifically, we aim to disentangle the concept of cognitive complexity by examining how CEOs’ cognitive depth and cognitive width differently influence their firms’ innovation outcomes. Additionally, we investigate how organizational slack moderates the impact of these cognitive attributes on innovation, providing a deeper understanding of the conditions under which managerial cognition drives firm adaptability in crises.
Design/methodology/approach
This study utilized a sample of 115 listed US firms ranked in the top 200 in terms of market capitalization share in 2020. We measured the key variables by analyzing text and archival data from interviews with CEOs, particularly focusing on their discussions regarding the impacts of the COVID-19 pandemic. Regression analysis was employed to test the hypothesized relationships in the research model.
Findings
The results reveal that under the crisis, CEO cognitive depth enhances firm innovation, while CEO cognitive width impedes firm innovation. Moreover, organizational slack weakens the positive relationship between CEO cognitive complexity and innovation.
Research limitations/implications
This study significantly contributes to and extends the established body of research on a leader’s cognition during a crisis. Our study goes beyond traditional views of cognitive complexity by highlighting the distinct impacts of two critical elements: cognitive depth and width, on decision-making processes. This study contributed to the innovative decision-making literature by opening up the black box behind the decision-making process of innovation during uncertainty. This underscores the multifaceted nature of cognitive processes in innovation, highlighting the interplay between cognitive depth, cognitive width and organizational resources in driving firm innovative outcomes during the crisis. We also broaden the temporal scope of empirical research on CEO cognition by gathering data from CEO interviews conducted during the COVID-19 pandemic.
Practical implications
This study reveals that when CEOs have a broader focus and attend to a wide range of information, their ability to quickly utilize firm resources for formulating competitive actions decreases during uncertainty. Consequently, it is crucial for CEOs to acknowledge the limitations of their attentional capacity. The allocation of their attention and information processing capacity has significant implications for their innovative decision-making processes, particularly in navigating through crises.
Social implications
Our study finds that excessive attention during times of crisis may not necessarily be beneficial to firm innovation. An excessive focus on problems can lead to scattered attention, impairing judgment and decision-making abilities. Moreover, excessive attention to problems may trigger panic and unnecessary stress, further impacting decision quality. High cognitive width can trap teams in short-term thinking and emergency mode, neglecting long-term strategies and opportunities such as innovation investment. Yet, firms with more slack resources can reduce the negative impacts of cognitive depth.
Originality/value
This study proposes a comprehensive cognitive model to understand managers’ decision-making during a crisis. The research posits that different dimensions of CEOs’ managerial cognition have distinct impacts on firm innovation in crisis environments. This study significantly contributes to the study of managerial cognition and innovation literature.
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Yaping Zhao, Xiangtianrui Kong, Xiaoyun Xu and Endong Xu
Cycle time reduction is important for order fulling process but often subject to resource constraints. This study considers an unrelated parallel machine environment where orders…
Abstract
Purpose
Cycle time reduction is important for order fulling process but often subject to resource constraints. This study considers an unrelated parallel machine environment where orders with random demands arrive dynamically. Processing speeds are controlled by resource allocation and subject to diminishing marginal returns. The objective is to minimize long-run expected order cycle time via order schedule and resource allocation decisions.
Design/methodology/approach
A stochastic optimization algorithm named CAP is proposed based on particle swarm optimization framework. It takes advantage of derived bound information to improve local search efficiency. Parameter impacts including demand variance, product type number, machine speed and resource coefficient are also analyzed through theoretic studies. The algorithm is evaluated and benchmarked with four well-known algorithms via extensive numerical experiments.
Findings
First, cycle time can be significantly improved when demand randomness is reduced via better forecasting. Second, achieving processing balance should be of top priority when considering resource allocation. Third, given marginal returns on resource consumption, it is advisable to allocate more resources to resource-sensitive machines.
Originality/value
A novel PSO-based optimization algorithm is proposed to jointly optimize order schedule and resource allocation decisions in a dynamic environment with random demands and stochastic arrivals. A general quadratic resource consumption function is adopted to better capture diminishing marginal returns.
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Paul Tang, Jennifer Y.M. Lai, Xiaoyun Chen and Siu Fong Isabel Fu
Drawing on social exchange theory, this study aims to investigate the reciprocal relationship between an employee’s knowledge sharing and his or her coworkers’ responses to this…
Abstract
Purpose
Drawing on social exchange theory, this study aims to investigate the reciprocal relationship between an employee’s knowledge sharing and his or her coworkers’ responses to this focal contributor in terms of knowledge sharing and helping behaviors.
Design/methodology/approach
A two-wave online survey collected data from 84 respondents who provided ratings on each member on their team, representing 440 dyadic relationships. Hierarchical linear modeling analyzed the between-subjects and within-subject data simultaneously.
Findings
Employees generally reciprocate contributors’ knowledge sharing with an exact act (i.e. knowledge sharing) through the mechanism of peer respect. However, respect generated by knowledge sharing is enhanced only when the knowledge contributor is competent.
Originality/value
Research on how an employee’s knowledge sharing actually influences other members of a team is lacking. This study addresses this gap by examining responses to a team member’s knowledge sharing from a peer’s perspective. It also reveals when knowledge sharing is more pronounced in earning peer respect.
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Qian Sun, Xiaoyun Li and Dil Bahadur Rahut
The purpose of this paper is to examine the impact of urbanicity on rural–urban migrants' dietary diversity and nutrition intake and whether its effect differs across various…
Abstract
Purpose
The purpose of this paper is to examine the impact of urbanicity on rural–urban migrants' dietary diversity and nutrition intake and whether its effect differs across various urban environments of migrants.
Design/methodology/approach
Using the individual- and time-invariant fixed effects (two-way FE) model and five-year panel data from the China Health and Nutrition Survey (CHNS), this paper estimates a linear and nonlinear relationship between urbanicity and nutrition. The paper also explores the spatial heterogeneity between rural–urban migrants and rural–suburban migrants. Dietary diversity, total energy intake and the shares of energy obtained from protein and fat, respectively, are used to measure rural–urban migrants' nutrition on both quality and quantity aspects.
Findings
The study shows that rural–urban migrants have experienced access to more diverse, convenient and prepared foods, and the food variety consumed is positively associated with community urbanicity. Energy intake is positively and significantly affected by community urbanicity, and it also varies with per capita household income. The obvious inverse U-shaped relationship reveals that improving community urbanicity promotes an increase in the shares of energy obtained from protein and fat at a decreasing rate, until reaching the urbanicity index threshold of 66.69 and 54.26, respectively.
Originality/value
This paper focuses on the nutritional status of rural–urban migrants, an important pillar for China's development, which is often neglected in the research. It examines the urbanicity and the nutrition of migrants in China, which provides a new perspective to understand the dietary and nutritional intake among migrants in the economic and social development. Moreover, the urbanicity index performs better at measuring urban feathers rather than the traditional rural/urban dichotomous classification.
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Zhiyi He and Xiaoyun Chen
This study investigates the structure of China’s market by examining the profiles of consumption values from a large scale national survey of 6250 respondents. The study…
Abstract
This study investigates the structure of China’s market by examining the profiles of consumption values from a large scale national survey of 6250 respondents. The study identifies four consumer segments that pursue distinct patterns of consumption values, including: purchase value, social status, performance and aesthetics, and “satisfi cing” needs. These distinct consumption value profiles help to provide a much needed understanding of China’s consumer market that complements existing studies on sociodemographic characteristics. These four distinct segments provide useful positioning and marketing implications for multinational firms operating in the China market.