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The legitimacy crisis faced by law enforcement has been suggested to be the result of a new media environment where citizens can record encounters with police and place these recordings online. The purpose of this paper is to examine the motives of individuals who cop-watch, or record the police, but not the factors influencing visiting cop-watching websites.

Using a cross-sectional, national sample of 702 American adults, and drawing on theories of legal socialization and selective exposure, the current study examines the prevalence and correlates visiting “cop-watching” websites.

Approximately 9 percent of the sample reports having ever visited these sites. Results from a series of logistic regressions indicate legal cynicism is positively associated with having ever visited these sites, having done so recently, following these sites on social media and visiting these sites more frequently after Ferguson. Police legitimacy reduced the likelihood that individuals had ever visited these sites, but was unrelated to other outcomes.

The cross-sectional nature of the survey precludes discussion of causality, but results are fairly consistent with theoretical expectations.

The current study reflects an early attempt to understand correlates of public consumption of “cop-watching” material.

Research indicates that a link exists between resting heart rate (RHR) and various forms of antisocial, violent and criminal behavior among community and criminal samples. However, the relationship between RHR and engagement in aggressive/violent encounters among law enforcement has not yet been examined. The purpose of this paper is to examine the link between RHR and engagement in violent encounters using prospective longitudinal data on a sample of law enforcement officers in the USA.

Negative binomial regression, Kaplan-Meier survival analysis and Cox hazard regressions are conducted using a sample of 544 police officers to determine if there a relationship between RHR and engagement in violent encounters by law enforcement, even when controlling for demographics, biological and social covariates.

Results indicate that higher RHR is associated with an increased risk of officers engaging in a violent altercation, as measured by the number of arrests for suspects resisting arrest with violence, even after controlling for all other relevant factors.

This study was the first to examine police officers RHR levels and its associated with violent altercations during arrest using a rigorous statistical methodology.

There is a growing need for methodological plurality in advancing operations management (OM), especially with the emergence of machine learning (ML) techniques for analysing extensive textual data. To bridge this knowledge gap, this paper introduces a new methodology that combines ML techniques with traditional qualitative approaches, aiming to reconstruct knowledge from existing publications.

In this pragmatist-rooted abductive method where human-machine interactions analyse big data, the authors employ topic modelling (TM), an ML technique, to enable constructivist grounded theory (CGT). A four-step coding process (Raw coding, expert coding, focused coding and theory building) is deployed to strive for procedural and interpretive rigour. To demonstrate the approach, the authors collected data from an open-source professional project management (PM) website and illustrated their research design and data analysis leading to theory development.

The results show that TM significantly improves the ability of researchers to systematically investigate and interpret codes generated from large textual data, thus contributing to theory building.

This paper presents a novel approach that integrates an ML-based technique with human hermeneutic methods for empirical studies in OM. Using grounded theory, this method reconstructs latent knowledge from massive textual data and uncovers management phenomena hidden from published data, offering a new way for academics to develop potential theories for business and management studies.

Building information modelling (BIM), lean construction (LC) and prefabricated housing construction (PHC) have individually aroused great attention from academia and industry. However, the integration of LC and BIM in PHC projects has not been sufficiently explored. This study aims to assess the current status of the implementation of BIM and LC in China’s PHC sector given, firstly, that China is a developing country characterised by the world’s largest population and a huge housing market, and secondly, that although China’s PHC is strongly supported by the government, the adoption of BIM and LC in PHC varies.

A mixed approach (questionnaire survey and interviews) is adopted in this study. A total of 127 valid questionnaires were collected. This is followed by interviewing 12 interviewees who are key stakeholders in PHC and hold managerial positions.

The findings of the questionnaire survey show that BIM is more prevalent than LC in PHC projects in China. In addition, the adoption of LC exhibits more maturity in stages associated with production and manufacturing, and logistics and transportation, whereas BIM has seen wider adoption in design and construction. The interviews validated the factors that influence the implementation of BIM and LC in PHC projects in China.

The study uses a strengths, weaknesses, opportunities and threats analysis framework to clarify the opportunities, threats, strengths and weaknesses of BIM and LC in China’s PHC and proposes strategies.

Much of the current criminological research regarding police and the autistic community focuses on police training for interacting with autistic individuals or the experiences, fears and perceptions of parents or caregivers. Largely absent from the criminological research are the opinions and perceptions of autistic adults. The purpose of the paper is to examine perceptions of the police and police-led initiatives among these individuals.

The authors analyze data from 121 autistic adults regarding their perceptions of the police and police-led autism awareness efforts using ordinary least squares (OLS) regression. Variables of interest include perceptions of procedural justice, police treatment of autistic individuals, fear of interacting with police and perceptions of police autism awareness campaigns.

Findings indicate that autistic respondents vary in perceptions of the police. Prior negative experiences with police have a stronger influence on perceptions than do positive experiences. Support for awareness campaigns is also varied.

Despite high-profile police incidents involving autistic individuals, there have been no empirical examinations of autistic adults' global perceptions of the police or police-led autism awareness campaigns. The current study addresses that oversight by directly examining autistic adults' perceptions. The approach is particularly salient given the ongoing police public scrutiny surrounding officer interactions with individuals from special populations, which is largely uninformed by research centering the voices of impacted individuals.

This study aimed at developing and testing a model to evaluate employee performance in Isfahan municipality.

A mixed-method design is applied in this study. To extract the model, a semi-structured interview based on the thematic analysis approach was employed. The qualitative data were obtained using a researcher-made questionnaire from a sample of 12 municipal experts selected based on purposive sampling. In the quantitative phase, the sample consisted of 76 managers and interim managers. The validity of the questionnaire was determined by the content validity index, while the structural validity was tested based on structural equation modeling using SmartPLS software. The reliability of the questionnaire was confirmed using Cronbach's alpha and composite reliability indices.

The factors obtained in the qualitative model included performance evaluation criteria, the desired time interval for performance evaluation, results announcement, performance evaluation approach, performance evaluation method and evaluator-related variables. There should have been an agreement between evaluators and those who were evaluated in all components of the model. In the quantitative section, performance evaluation criteria, evaluators, the evaluation method and time interval were confirmed with coefficients of 0.871, 0.815, 0.646 and 0.615, respectively.

The novelty of this study is that it uses a mixed-method research approach to extract a performance evaluation model that is specific to the Isfahan municipality.

The novelty of this study is that it uses a mixed-method research approach to extract a performance evaluation model that is specific to the Isfahan municipality.