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Police procedural justice is essential in shaping police legitimacy and public willingness to cooperate, yet factors that affect police fair treatment of citizens are not fully understood. Using the data of the National Police Research Platform (NPRP), Phase II, this study examines the effects of three key organizational factors (i.e. effective leadership, supervisory justice and department process fairness) on officers’ procedural justice in police stops.

Innovatively, this study links police data with citizens’ data and conducts multilevel analyses on the effects of a host of citizen, officer, incident, and, importantly, agency characteristics on officer behaviors during over 5,000 police stops nested within 48 police agencies.

The results showed that the fairness of the departmental process had a positive effect on officer procedural justice, while the fairness of the supervisor was inversely associated with procedural justice on the street.

The linked data demonstrated that organizational fairness affected street procedure justice.

The purpose of this paper is to examine Asian Americans' perceptions of the police, specifically how they construct support. Although such literature has been growing in recent years, research on Asian American interactions with the police remains limited. Additionally, this paper is situated within the theoretical framework of system justification theory to account for Asian Americans' views of the police.

This study relies on interview data collected from 20 Asian Americans residing in mid-Atlantic states. Participants were either recruited directly by the researchers or through the snowball-sampling method.

Police support is influenced by perception of neighborhood safety, personal police contact and empathetic feelings toward the police. Specifically, regarding the latter component, humanizing or empathizing with police officers is a form of rationalizing individual police misconduct that reinforced police legitimacy. Most participants had similar characteristics and displayed police justification. Additional research is needed regarding what characteristics or patterns are likely to lead to lower levels of police justification.

This article's findings improve our understanding of system justification among Asian Americans, particularly as it relates to policing.

The primary purpose of this paper is to identify the so-called core authors and their publications according to pre-defined criteria and thereby direct the users to the fastest and easiest way to get a picture of the otherwise pervasive field of bankruptcy prediction models. The authors aim to present state-of-the-art bankruptcy prediction models assembled by the field's core authors and critically examine the approaches and methods adopted.

The authors conducted a literature search in November 2022 through scientific databases Scopus, ScienceDirect and the Web of Science, focussing on a publication period from 2010 to 2022. The database search query was formulated as “Bankruptcy Prediction” and “Model or Tool”. However, the authors intentionally did not specify any model or tool to make the search non-discriminatory. The authors reviewed over 7,300 articles.

This paper has addressed the research questions: (1) What are the most important publications of the core authors in terms of the target country, size of the sample, sector of the economy and specialization in SME? (2) What are the most used methods for deriving or adjusting models appearing in the articles of the core authors? (3) To what extent do the core authors include accounting-based variables, non-financial or macroeconomic indicators, in their prediction models? Despite the advantages of new-age methods, based on the information in the articles analyzed, it can be deduced that conventional methods will continue to be beneficial, mainly due to the higher degree of ease of use and the transferability of the derived model.

The authors identify several gaps in the literature which this research does not address but could be the focus of future research.

The authors provide practitioners and academics with an extract from a wide range of studies, available in scientific databases, on bankruptcy prediction models or tools, resulting in a large number of records being reviewed. This research will interest shareholders, corporations, and financial institutions interested in models of financial distress prediction or bankruptcy prediction to help identify troubled firms in the early stages of distress.

Bankruptcy is a major concern for society in general, especially in today's economic environment. Therefore, being able to predict possible business failure at an early stage will give an organization time to address the issue and maybe avoid bankruptcy.

To the authors' knowledge, this is the first paper to identify the core authors in the bankruptcy prediction model and methods field. The primary value of the study is the current overview and analysis of the theoretical and practical development of knowledge in this field in the form of the construction of new models using classical or new-age methods. Also, the paper adds value by critically examining existing models and their modifications, including a discussion of the benefits of non-accounting variables usage.

This study aims to identify whether green advertising and eco-labels influence the purchasing behaviors of organic products or whether the influence of such behaviors is presented through the mediating effect of the attitude and environmental awareness of millennials.

This study used a quantitative, correlational and cross-sectional design. A total of 430 millennials participated in the study. The questionnaire consisted of 20 questions, distributed across five variables. It was applied to people outside shopping centers in the city of Quito and Guayaquil, Ecuador. The results were subjected to statistical tests to determine the internal consistency of the instrument. The convergent and discriminant validity of the research model was verified through confirmatory factor analysis and structural equation modeling. SPSS 20 and AMOS 24 were used for statistical analyses.

The study identified that attitude and environmental awareness mediate the relationship between green advertising and green purchasing behaviors, as well as the relationship between eco-labels and green purchasing behaviors. Furthermore, it has been proven that green advertising directly influences the green purchasing behaviors of organic products among millennials, whereas eco-labels do not.

This study is among the initial investigations to delineate the connection between elements of green marketing and the buying patterns of organic goods among millennials in an emerging economy. The study provides answers to earlier scholarly inquiries that proposed examining the correlation among the constituents of the theorized framework.

El presente estudio tuvo como objetivo identificar si la publicidad verde y las ecoetiquetas influyen en los comportamientos de compra de productos orgánicos, o si la influencia dentro de dichos comportamientos se presenta a través del efecto mediador de la actitud y la conciencia ambiental de los millennials.

La investigación fue cuantitativa, correlacional y con un diseño transversal. Participaron en el estudio un total de 430 millennials. El cuestionario constó de 20 preguntas distribuidas en cinco variables. Fue aplicado en persona fuera de los centros comerciales en las ciudades de Quito y Guayaquil - Ecuador. Los resultados obtenidos fueron sometidos a pruebas estadísticas para determinar la consistencia interna del instrumento. La validez convergente y discriminante del modelo de investigación fue verificada mediante un Análisis Factorial Confirmatorio y Modelos de Ecuaciones Estructurales. Para el desarrollo de los análisis estadísticos, se utilizaron SPSS 20 y AMOS 24.

El estudio identificó que la actitud y la conciencia ambiental median la relación entre la publicidad verde y los comportamientos de compra, así como en la relación entre las ecoetiquetas y los comportamientos de compra. Además, se demostró que la publicidad verde influye directamente en los comportamientos de compra de productos orgánicos entre los millennials, mientras que las ecoetiquetas no.

Este artículo se encuentra entre las investigaciones iniciales para delinear la conexión entre los elementos del marketing verde y los patrones de compra de productos orgánicos entre los millennials en una economía emergente. El estudio proporcionó respuestas a consultas académicas previas que proponían examinar la correlación entre los componentes del marco teórico propuesto.

本研究旨在确定绿色广告和生态标签是否影响有机产品的购买行为, 或这种行为的影响是否通过千禧一代的态度和环境意识的中介效应表现出来。

本研究采用定量、相关性和横截面设计。共有430名千禧一代参与了研究。问卷由20个问题组成, 分布在五个变量上。问卷在厄瓜多尔基多和瓜亚基尔市的购物中心外分发。结果经过统计测试, 以确定问卷的内部一致性。通过验证性因素分析 和结构方程模型 验证了研究模型的收敛效度和区分效度。统计分析使用SPSS 20和AMOS 24软件完成。

研究表明, 态度和环境意识在绿色广告与绿色购买行为之间以及生态标签与绿色购买行为之间起到中介作用。此外, 已证明绿色广告直接影响千禧一代对有机产品的绿色购买行为, 而生态标签则没有直接影响。

本研究是最初探讨绿色营销元素与千禧一代在新兴经济体中有机产品购买模式之间关系的研究之一。该研究回答了早期学术研究提出的关于理论框架各组成部分相关性的探讨。

This chapter is devoted to sustainable human resource management that leads to sustainable competitiveness. It features the ways human resources can be managed to carry out sustainable goals and the impact of sustainability on employees' attitudes and behaviours. The aim of this study is to explore the complex objectives of sustainability and human resource management and empirically investigate the dynamic relationship between human resources in science and technology and sustainable competitiveness in the case of 35 European countries. Our contribution emphasizes this interrelationship and its causality. For this research, we applied a vector auto-regression (VAR) model, and the Granger causality method to examine the relationship between human resources in science and technology and sustainable competitiveness. A panel data included 314 observations between 2012 and 2021. The panel VAR for analysing the impulse response function was enriched with the 5% and 95%, using Monte Carlo simulations. The research results revealed bidirectional causality in the European countries between human resources in science and technology and sustainable competitiveness. Human resources in science and technology trigger sustainable competitiveness and vice versa. As an element of originality, our study demonstrates that human resources in science and technology contribute to sustainable performance, and, on the other hand, a more competitive and sustainable environment contributes to the development of human resources in science and technology. Thus, the chapter outlines the role of human resources in science and technology with regard to sustainable human resource management (HRM), and how to navigate these objectives so that they can positively influence sustainable competitiveness.

The purpose of this study focused on a global longitudinal bibliometric mapping of research in the field of health biotechnology between 1990 and 2023 to determine who is leading this field of knowledge and to estimate the sub-disciplines that are emerging and project those that will prevail in the future.

The study identified the most relevant countries, institutions and researchers, as well as the type of scientific collaborations. The applied steps applied in the study were the following: identification and selection of keyword terms by a panel of experts; design and application of an algorithm to identify these selected keywords in titles, abstracts and keywords using Web of Science terms to contrast them; performance of JCR data processing during 2023 using R, Python and VOSviewer.

Among the most relevant conclusions of the study are the following exponential growth has been observed in the study period; new branches of knowledge have emerged in which the subjects have been acquiring their own autonomous capabilities; and R&D in this field is still concentrated in a small group of core countries, and the trend is for it to remain so due to the capacity needs required.

This contribution seeks to systematize the existing scientific knowledge in the field of biotechnology, specifically in the area of health, using the technique of scientific mapping based on a logical model of indicators that aims to determine potential thematic ramifications.

316 L stainless steel alloy is potentially the most used material in the selective laser melting (SLM) process because of its versatility and broad fields of applications (e.g. medical devices, tooling, automotive, etc.). That is why producing fully functional parts through optimal printing configuration is still a key issue to be addressed. This paper aims to present an entirely new framework for simultaneously reducing surface roughness (SR) while increasing the material processing rate in the SLM process of 316L stainless steel, keeping fundamental mechanical properties within their allowable range.

Considering the nonlinear relationship between the printing parameters and features analyzed in the entire experimental space, machine learning and statistical modeling methods were defined to describe the behavior of the selected variables in the as-built conditions. First, the Box–Behnken design was adopted and corresponding experimental planning was conducted to measure the required variables. Second, the relationship between the laser power, scanning speed, hatch distance, layer thickness and selected responses was modeled using empirical methods. Subsequently, three heuristic algorithms (nonsorting genetic algorithm, multi-objective particle swarm optimization and cross-entropy method) were used and compared to search for the Pareto solutions of the formulated multi-objective problem.

A minimum SR value of approximately 12.83 μm and a maximum material processing rate of 2.35 mm³/s were achieved. Finally, some verification experiments recommended by the decision-making system implemented strongly confirmed the reliability of the proposed optimization methodology by providing the ultimate part qualities and their mechanical properties nearly identical to those defined in the literature, with only approximately 10% of error at the maximum.

To the best of the authors’ knowledge, this is the first study dealing with an entirely different and more comprehensive approach for optimizing the 316 L SLM process, embedding it in a unique framework of mechanical and surface properties and material processing rate.

Although it is a well-known notion that “a family firm does not survive beyond the third generation”, owing to the ineffective tacit knowledge transfer, studies investigating the relationship between generational evolution and knowledge innovation is scarce. Thus, this case study revolving Sin Kwang Plastic Resources Berhad (SKP) seeks to address this gap in literature.

To assess the development of family business, a longitudinal case study was performed by documenting the entire evolutionary process starting from its establishment until now. The historical profiles for SKP were obtained from the previous annual reports submitted to the government's Companies Commission (SSM). Secondary materials from the Federation of Malaysian Manufacturers (FMM) and the edge newspaper and articles on the company were also gathered. Throughout the in-depth interviews, the author can see how the next generation of this family firm innovates and implements tacit knowledge innovation in original equipment manufacturing (OEM) by adhering to the Japanese industrial standards.

Findings show that the second generation utilized the company's extensive knowledge in plastic contract manufacturing in SKP for tacit knowledge conversion, triggers the birth of STS Tecnic Berhad, a subsidiary company that manufactures plastic parts for the industrial packaging and automotive industry. To simplify the process of managing the complex business, SKP opted to “prune the family tree” by dividing the business, involving fewer managers and restricting the number of family shareholders.

This case study traces how Gan's family's tacit knowledge in plastic contract manufacturing have been acquired from the experience of contract manufacturing with the Japanese multinational corporations (MNCs) by further commercializing the tacit knowledge into different companies for different plants. SKP promotes tacit knowledge innovation in the learning organization, thus responding to the firm's sustainability.

This study demonstrates that knowledge transformation plays vital roles in product development and gaining competitive advantage. The success of this business is founded by the building of shared values, norms and technical understanding in plastic contract manufacturing among the Japanese MNCs in Malaysia.

The inclusion of esports as an official event in the Hangzhou Asian Games is an important step towards the institutionalisation of esports. The significance of this event marks that Asia once again takes a lead in the global esportisation. This chapter investigates a series of history events in the inclusion process of esports into the comprehensive Games in Asia using process sociology and actor network theory (ANT). This study will analyse the type characteristics of esports events in Hangzhou Asian Games, whilst examining how key stakeholders' interact and balance in the network composed of international sports organisations, host of the event, emerging esports organisations and esports game companies. The chapter also examines the functions of global game industrial economic geography, local cultural politics, esports geopolitics and Olympic values in esports sportization, aiming to reveal the implications of esports inclusion in the Asian Games on the debate of whether esports meets the criteria to be classified as a ‘sport’ and its enlightenment of digital strategy to the inclusion esports in the Olympics.

This study aims to develop a conceptual model to understand how customer knowledge management (CKM) affects fitness club membership renewal through the mediation of relationship quality.

Data were collected outside of fitness clubs using a systematic sampling method. A total of 224 valid responses were collected. Structural equation modelling was used to evaluate the relationship between the constructs of the research model.

The results indicate that both knowledge from customers and knowledge for customers have a positive influence on customer satisfaction and customer trust. Among them, knowledge for customers has a stronger influence on customer satisfaction while knowledge from customers has a greater influence on customer trust. Additionally, three dimensions of relationship quality (customer satisfaction, customer trust and customer commitment) positively influence membership renewal intention with customer commitment exhibiting the greatest influence on it.

This study combines the theories of CKM and relationship quality management to explain why members will renew their service contracts. By using fitness clubs as an example, this research extends the authors' understanding of how knowledge from and for customers can influence customers' attitudes and behavioural intentions towards service companies.