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It would take billions of miles’ field road testing to demonstrate that the safety of automated vehicle is statistically significantly higher than the safety of human driving because that the accident of vehicle is rare event.

This paper proposes an accelerated testing method for automated vehicles safety evaluation based on improved importance sampling (IS) techniques. Taking the typical cut-in scenario as example, the proposed method extracts the critical variables of the scenario. Then, the distributions of critical variables are statistically fitted. The genetic algorithm is used to calculate the optimal IS parameters by solving an optimization problem. Considering the error of distribution fitting, the result is modified so that it can accurately reveal the safety benefits of automated vehicles in the real world.

Based on the naturalistic driving data in Shanghai, the proposed method is validated by simulation. The result shows that compared with the existing methods, the proposed method improves the test efficiency by 35 per cent, and the accuracy of accelerated test result is increased by 23 per cent.

This paper has three contributions. First, the genetic algorithm is used to calculate IS parameters, which improves the efficiency of test. Second, the result of test is modified by the error correction parameter, which improves the accuracy of test result. Third, typical high-risk cut-in scenarios in China are analyzed, and the proposed method is validated by simulation.

It is predicted that micromanagement may become a growing workplace concern post-Covid-19, with managers grappling for control in the current hybrid/remote working environment. This will be happening at a time when millennials represent half of the working population. This study contributes to existing literature and provides an overall appreciation of the complexities of micromanagement and how it impacts millennials' followership styles.

A quantitative study was undertaken and a series of hypotheses were tested. The target sample for this research was the millennial cohort aged between 24 and 41. Data were analysed using SPSS.

This paper confirmed that “unfavourable followership styles” consisted of various negative followership reactions such as anxiety, demotivation, dissatisfaction, disengagement, reduction in support for managers, limited upward feedback, team conflict, reduced productivity and innovation due to fear of making mistakes ultimately facilitating a toxic workplace. Essentially, this research validated the notion that in order to create a sustainable organisation post-Covid-19, HR professionals must take proactive measures to mitigate this form of harmful leadership.

Data weaknesses transpire where respondents have never interacted with a micromanager in reality. Therefore, perceived reactions to a hypothetical micromanager may differ from those respondents who were exposed to micromanagers.

A lack of research exists on the intersection of micromanagement and millennials' followership styles and as such this paper bridges that gap.

The purpose of this paper is to analyse the influence of perceived quality and customer engagement on perceived value and satisfaction in a model to evaluate loyalty in users of fitness centres.

Through an online questionnaire, the study uses a large sample of 6,584 users from 44 low-cost fitness centres from different cities in Spain. After validating the measurement model, the hypotheses were tested through structural equation (SEM) modelling technique, noting the existence of significant relationships.

The results showed that two dimensions of perceived quality have a positive influence on perceived value (employees) and satisfaction (facilities). However, the enthused participation dimension of customer engagement also indicated an important impact on perceived value and satisfaction, thus confirming the influence of this dimension in the context of sports services for users' loyalty.

With a large sample, the importance of this study lies in the use of strategies to achieve a greater influence on perceived value and satisfaction, with the aim of increasing customer loyalty in fitness centres. This is why, in addition to the service quality, the influence of the customer engagement dimensions is included, which have not been previously analysed in this emerging business model.

El propósito de este trabajo es analizar la influencia de la calidad percibida y el compromiso del cliente sobre el valor percibido y la satisfacción en un modelo para evaluar la lealtad en usuarios de centros de fitness.

A través de un cuestionario online, el estudio utiliza una muestra amplia de 6.584 usuarios de 44 centros de fitness low-cost de diferentes ciudades de España. Tras validar el modelo de medida, las hipótesis fueron contrastadas utilizando análisis de ecuaciones estructurales, observándose la existencia de relaciones significativas.

Los resultados mostraron que dos dimensiones de la calidad percibida tienen una influencia positiva en el valor percibido (empleados) y la satisfacción (instalaciones). Sin embargo, la dimensión de participación entusiasta del compromiso del cliente también indicó un impacto importante en el valor percibido y la satisfacción, lo que confirma la influencia de esta dimensión en el contexto de los servicios deportivos para la fidelización de los usuarios.

Con una extensa muestra, la importancia de este estudio radica en el uso de estrategias para lograr una mayor influencia en el valor percibido y la satisfacción, con el objetivo de fidelizar a los clientes de los centros de fitness. Por eso, además de la calidad del servicio, se incluye la influencia de las dimensiones del compromiso con el cliente, que no han sido analizadas previamente en este modelo de negocio emergente.

The purpose of this paper is to examine the applicability of the original 36-item Food Choice Questionnaire (FCQ) model developed by Steptoe et al. (1995) in Hungary.

The national representative questionnaire involved 1,050 individuals in Hungary in 2015. Several multivariable statistical techniques were applied for the analysis of the data: confirmatory factor analysis, principal component analysis, and cluster and Log-linear analysis.

The results indicate that the original nine-factor model is only partially applicable to Hungary. This study successfully managed to distinguish the following factors: health and natural content, mood, preparation convenience, price and purchase convenience, sensory appeal, familiarity, and ethical concern. The FCQ scales proved to be suitable for the description of clusters based on specific food choices and demographic characteristics. By using the factors, the following five clusters were identified: modern food enthusiast, tradition-oriented, optimizer, easy-choice and un-concerned, all of which could be addressed by public health policy with individually tailored messages.

The Hungarian testing process of the FCQ model contributes to an examination of its usability and provides the possibility of fitting the model to different cultures.

The purpose of this paper is to determine what types of sustainability activities companies are reporting and whether persons external to the companies understand how those reported activities correspond to the companies’ narratives about sustainability. That is to ascertain how people interpret the meaning of the activities included in the sustainability reports.

From a sample of sustainability reports prepared by Global Reporting Initiative (GRI) guidelines, the authors identified the distinct activities reported. The authors prepared a survey comprised of these activities and asked a sample of people knowledgeable about business and investing to evaluate each activity on the extent to which they are relevant to sustainability performance. The responses were then factor analyzed to identify the most important dimensions of sustainability these persons employed to relate the activities to sustainability.

The dimensions employed by the subjects differed in some significant ways from those dimensions used to construct the GRI format. Subjects evaluated sustainability efforts as primarily efforts of being a good citizen with sustainability an end in itself rather than as constraint to be respected in achieving profitability goals.

The study is a first attempt so results are preliminary, i.e. suggestive but not definitive. Though preliminary an intriguing implication is that closure on a sustainability reporting structure would be premature. More effort needs to be devoted to provide more clarity on the concept of corporate sustainability and what its implications are for corporate behavior.

Given the results that sustainability be regarded as a corporate end, what is the role of the corporation in society seems still to be disputatious. Sustainability may not be something achievable without changes in corporate law.

The study is an early attempt to assess the potential alternative narratives about corporate sustainability. Its value lies in providing insights into the age-old question of what should be the role of the corporation in a free society.

In this research, the authors demonstrate the advantage of reinforcement learning (RL) based intrusion detection systems (IDS) to solve very complex problems (e.g. selecting input features, considering scarce resources and constrains) that cannot be solved by classical machine learning. The authors include a comparative study to build intrusion detection based on statistical machine learning and representational learning, using knowledge discovery in databases (KDD) Cup99 and Installation Support Center of Expertise (ISCX) 2012.

The methodology applies a data analytics approach, consisting of data exploration and machine learning model training and evaluation. To build a network-based intrusion detection system, the authors apply dueling double deep Q-networks architecture enabled with costly features, k-nearest neighbors (K-NN), support-vector machines (SVM) and convolution neural networks (CNN).

Machine learning-based intrusion detection are trained on historical datasets which lead to model drift and lack of generalization whereas RL is trained with data collected through interactions. RL is bound to learn from its interactions with a stochastic environment in the absence of a training dataset whereas supervised learning simply learns from collected data and require less computational resources.

All machine learning models have achieved high accuracy values and performance. One potential reason is that both datasets are simulated, and not realistic. It was not clear whether a validation was ever performed to show that data were collected from real network traffics.

The study provides guidelines to implement IDS with classical supervised learning, deep learning and RL.

The research applied the dueling double deep Q-networks architecture enabled with costly features to build network-based intrusion detection from network traffics. This research presents a comparative study of reinforcement-based instruction detection with counterparts built with statistical and representational machine learning.

The COVID-19 pandemic and the subsequent lockdown have hit the food service industry very hard. The COVID-19 outbreak has created a sharp downturn for firms in the food service industry, compelling actors across the whole food service supply chain to rethink their strategies. The purpose of this paper is to document the impact of COVID-19 on the food service supply chain, as well as to identify crisis management strategies food service firms use during the hectic early phase of the COVID-19 pandemic to survive the current and prepare for future pandemics.

We performed a qualitative descriptive study using 21 semi-structured interviews with actors across the food service supply chain (i.e. farmers, wholesalers and food service providers). Data were collected to shed light on food service firms' decision making during the hectic early phase of the COVID-19 pandemic to uncover various crisis management strategies used.

By integrating the disaster and crisis pyramid and resilience theory, four core crisis management strategies to respond to the COVID-19 pandemic are conceptualized, i.e. (1) managing resources, (2) diversifying strategically, (3) prioritizing long-term outcomes and (4) bonding socially.

The theoretical contributions include documenting the performance impact of the COVID-19 pandemic on the food service supply chain and exploring crisis management strategies food service firms employed during the hectic early phase of the COVID-19 pandemic. Thus, functioning and survival during a pandemic, an emerging field in literature, are central to this study. Additionally, while recent research suggests that integrating crisis management and resilience literature may provide a more complete understanding of the organization–crisis relationship, these literature streams mainly developed in isolation. By integrating the literature streams of crisis management and resilience and applying these theories to the COVID-19 crisis, our study provides specific managerial guidelines.

The purpose of this paper is as follows: First, understanding the nature of the relationship between corporate adoption of the concept of societal responsibility [availability of environmental awareness, clear vision of the impact of societal responsibility on financial performance, managers informing employees of the latest developments in societal responsibility programs, managers' response to their corporate social responsibility (CSR) proposals] in the form of an annual report that supports the success of the company's objectives, the company's management encourages employees to participate collectively in societal responsibility programs and to protect the environment from pollution in the petrochemical industry. Second, understand the nature of the relationship between the dimensions of corporate social responsibility concept (cultural, social, economic, ethical and legal) and protect the environment from pollution in the petrochemical industry. Third, the research also seeks to show the role of societal responsibility and its application in the petrochemical companies to protect the environment from pollution in The Governorate of Alexandria – Egypt, and come out with results and recommendations that could help protect the environment from the forms of environmental pollution resulting from the production processes of this industry.

The researcher has relied on each of the following approaches: Case study methodology is a research strategy aimed at solving a problem or facing a particular situation. It is based on preliminary hypotheses through full analysis of all data collected and recorded. Which depends on the study of a limited number of cases or vocabulary in-depth comprehensive study through the study of all or a large number of variables overlapping and interrelated and influential on the problem under consideration. Thus, it provides a deep and rich understanding of what is going on around the research and the processes that are related to it, and not only the external or apparent description of the situation or phenomenon; it cares about the total description and looks at the particles, in relation to the whole. Quantitative approach: by giving a numerical description indicating the size or size of the phenomenon or the degree of association with the phenomenon. Other phenomena. Accordingly, the role of the petrochemical companies in Alexandria Governorate, and the social responsibility programs carried out within the governorate in terms of importance, growth and requirements, and the most important characteristics and constraints and components and methods of work and developments have been described. Thus, the researcher can analyze the relationship between CSR and environmental protection from pollution in Alexandria Governorate.

There is paucity in the studies that dealt with the relationship between CSR and environmental protection against pollution in public organizations. There is agreement among the sample on the importance and feasibility of adopting the concept of social responsibility and placing it at the top of the top management concerns, especially in the field of petrochemical companies. With the need to take concrete implementation measures to support social responsibility programs aimed at serving the community among all stakeholders. The effective implementation of the mechanisms for the implementation of meaningful social responsibility programs requires fundamental changes in management practices, existing organizational structures and the quality of personnel working in the relevant departments, in general, and the social responsibility group, in particular, which may be difficult for political and economic reasons.

Time: The study period was set from 2015 to 2017. Place: The study focuses on the petrochemical companies operating in Alexandria. Humanity: The study focuses on the employees of the petrochemical companies operating in Alexandria Governorate.

The adoption of social responsibility positively affects the protection of the environment from pollution, and this effect shows that the adoption of the concept of corporate social responsibility is influenced by the following factors: increasing the participation of workers with healthy environmental contributions to the productive process; increasing the companies' economic and social activities toward protecting the environment from pollution; increasing the capacity of companies to pay greater costs to preserve the environment; increasing the awareness of green consumers with the products it offers Companies; development of continuous internal work environment companies; and clearly defined strategy followed in social responsibility programs.

The social responsibility of the public organizations derives their strength through, first, the keenness of these organizations to analyze the variables of the ethical dimension of social responsibility and their availability, which will lead the organizations to provide their services with the highest quality and sincerity. That this analysis (ethics of individuals) as training members of the social responsibility team to solve problems using brainstorming and provide employees with official data related to improving work (ethics of leadership), such as the identification of business objectives through the participation of managers with subordinates, and the punishment of workers who exhibit immoral behaviors (ethics of productive processes) as a decision-making process to ethical standards regardless of the costs involved. When there is an immoral behavior and managers are responsible for implementing the changes needed to reach the targeted outcomes), second, promote partnerships with other relevant sectors for community service.

According to the results of the previous studies and the applied study results, the researcher would like to submit a mechanism to the directors and heads of the boards of directors of the Egyptian petrochemical companies under study.

This paper aims to examine the relationship between board demographic diversity and human rights reporting for a sample of large Western European companies.

Grounded on resource dependence theory, the authors hypothesize that greater gender, age and nationality diversities will translate into enhanced levels of human rights reporting. The authors use ordinal logistic regression analysis to analyze the association between these types of board diversity and such reporting.

The findings suggest that the companies in the sample attribute little importance to the reporting of information pertaining to the issue of human rights. They also suggest that only the diversity of nations represented in the board of directors is significant in explaining this type of reporting.

The sample includes only large companies from Western Europe and the analysis covers only one year.

To the best of the authors’ knowledge, this study provides the first empirical analysis of factors influencing human rights reporting conducted on a multiple-country setting. It is also the first investigating the association between boards of directors’ demographic diversity and such reporting.

Industry 4.0 is assumed to yield extensive industry-spanning opportunities. However, exploiting these opportunities requires a targeted implementation of Industry 4.0. The purpose of this paper is to generate a deeper understanding of relevant implementation action. Existing recommendations are mostly general, highly aggregated and difficult to grasp. Yet, specific and concrete actions that need to be taken to accelerate the realization of Industry 4.0 are essential.

The article uses 13 semi-structured in-depth expert interviews as the source of empirical data. The interviews were conducted with managers from Industry 4.0-experienced German manufacturing companies. All interviews are analyzed using qualitative content analysis.

The study reveals relevant and targeted aspects for Industry 4.0 implementation: the development of Industry 4.0-specific know-how, securing financial resources, integrating employees into the implementation process and establishing an open-minded and flexible corporate culture. Further aspects include comprehensive planning processes, cooperation with external partners, proper handling of data interfaces, interdisciplinary communication, an adaptable organizational structure and data security.

The paper is limited to German manufacturing enterprises and should be transferred to other industries and countries.

The study supports managers to effectively implement Industry 4.0 within their organizations and consequently benefit from Industry 4.0 and derives recommendations for future research.

The paper is among the first to give specific and concrete examples for lessons learned from Industry 4.0 implementation, directly obtained from industrial application.