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Higher energy conversion efficiency of internal combustion engine can be achieved with optimal control of unsteady in-cylinder flow fields inside a direct-injection (DI) engine. However, it remains a daunting task to predict the nonlinear and transient in-cylinder flow motion because they are highly complex which change both in space and time. Recently, machine learning methods have demonstrated great promises to infer relatively simple temporal flow field development. This paper aims to feature a physics-guided machine learning approach to realize high accuracy and generalization prediction for complex swirl-induced flow field motions.

To achieve high-fidelity time-series prediction of unsteady engine flow fields, this work features an automated machine learning framework with the following objectives: (1) The spatiotemporal physical constraint of the flow field structure is transferred to machine learning structure. (2) The ML inputs and targets are efficiently designed that ensure high model convergence with limited sets of experiments. (3) The prediction results are optimized by ensemble learning mechanism within the automated machine learning framework.

The proposed data-driven framework is proven effective in different time periods and different extent of unsteadiness of the flow dynamics, and the predicted flow fields are highly similar to the target field under various complex flow patterns. Among the described framework designs, the utilization of spatial flow field structure is the featured improvement to the time-series flow field prediction process.

The proposed flow field prediction framework could be generalized to different crank angle periods, cycles and swirl ratio conditions, which could greatly promote real-time flow control and reduce experiments on in-cylinder flow field measurement and diagnostics.

Social relationships play an important role in organizational entrepreneurship. They are crucial to entrepreneurs’ decisions because, despite the bleeding-edge technological advancements observed nowadays, entrepreneurs as human beings will always strive to be social. During the COVID-19 pandemic many companies moved activities into the virtual world and as a result offline Social relationships became rarer, but as it turns out, even more valuable, likewise, the inter-organizational cooperation enabling many companies to survive.

This chapter aims to develop knowledge about entrepreneurs’ SR and their links with inter-organizational cooperation. The results of an integrative systematic literature review show that the concept of Social relationships, although often investigated, lacks a clear definition, conceptualization, and operationalization. This chapter revealed a great diversity of definitions for Social relationships, including different scopes of meaning and levels of analysis. The authors identify 10 building blocks and nine sources of entrepreneurs’ Social relationships. The authors offer an original typology of Social relationships using 12 criteria. Interestingly, with regard to building blocks, besides those frequently considered such as trust, reciprocity and commitment, the authors also point to others more rarely and narrowly discussed, such as gratitude, satisfaction and affection. Similarly, the authors discuss the varied scope of sources, including workplace, family/friendship, past relationships, and ethnic or religious bonds. The findings of this study point to a variety of links between Social relationships and inter-organizational cooperation, including their positive and negative influences on one another. These links appear to be extremely dynamic, bi-directional and highly complex.

This study aims to investigate how employee environmental performance (EP) is affected by socially responsible human resource management (SRHRM) via green knowledge sharing (GKS) and environmental commitment (EC).

Partial least squares-structural equation modeling was used to analyze data from 494 frontline employees of hotels.

The findings reveal that SRHRM influences employee EP, GKS and EC. SRHRM indirectly predicts individual EP through GKS and EC mediation. GKS and EC also have significant relationships with employee EP.

Hotels can use the findings of this study to develop effective strategies to promote employees’ positive responses to the environment and improve their organizational identification. Moreover, the current research enables the organization to recognize the importance of employees’ GKS and EC and capitalize on them.

This study links SRHRM to the individual EP level in the hotel industry. This study reveals the importance of EC and GKS as psychological mechanisms linking SRHRM and EP.

This study examines the impact of China’s mixed-ownership reform on the innovation of non-state-owned acquirers, with a particular focus on the impact on firms with high financing constraints, low-quality accounting information or less tangible assets.

We use a proprietary dataset of firms listed on the Shanghai and Shenzhen Stock Exchanges to investigate the impact of mixed ownership reform on non-state-owned enterprise (non-SOE) innovation. We employ regression analysis to examine the association between mixed ownership reform and firm innovation.

The study finds that non-state-owned firms can improve innovation by acquiring equity in state-owned enterprises (SOEs) under the reform. Eased financing constraints, lowered financing costs, better access to tax incentives or government subsidies, lowered agency costs, better accounting information quality and more credit loans are underlying the impact. Additionally, cross-ownership connections amongst non-SOE executives and government intervention strengthen the impact, whilst regional marketisation weakens it.

This study adds to the literature on the association between mixed ownership reform and firm innovation by focussing on the conditions under which this impact is stronger. It also sheds light on the policy implications for SOE reforms in emerging economies.

An investigation of multinational corporations (MNCs) integration of the concept of community participation into the factors of needs and expectations revealed a significant difference amongst MNCs’ strategic choice in their tourism market development in those African host countries. The findings identified only 16% of the participating MNCs integrated the concept of community participation. The integrators increased in growth more than the non-integrators of concept of community participation. It is concluded that MNCs need to realize that strategy involves forecasting and understanding the business environmental factors, planning on which applicable strategy to choose and implementing a strategy that is rewarding to both the corporation and the host community with minimum risks.

Self-inflicted crises (SIC)– either intentionally induced or at least carelessly accepted – can tremendously damage a corporation’s reputation and legitimacy in the eyes of the stakeholders. While academia usually advices companies to accept full responsibility, practice shows that by far not all companies rely on such a responsible strategy. In practice, corporations choose various response strategies ranging from apologies, over diminishing approaches to full denials. By investigating a large data set embracing several countries and industries covering 696 cases of SIC, the authors analyze how corporations respond to such events and compare these response strategies across countries and types of crises.

This book chapter follows a domain-spanning approach by combining corporate social responsibility (CSR), crisis management, and stakeholder management to investigate how companies aim at solving crises. Drawing on attribution theory and situational crisis communication theory, the results reveal that corporations often do not follow the prevailing recommendation to take responsibility. The authors find that in the majority of cases, internationally active corporations try to deny or diminish their responsibility for the crises. Hence, the findings suggest that the concept of CSR is not working in the case of SIC since not only the existence of such corporate behavior but also the use of denial and diminish strategies contradicts the idea of corporate responsibility. Moreover, the authors shed light on possible differences and preferences toward a specific response strategy between countries and between different types of crises.

The authors contribute to the growing literature in the field of crisis management and crisis response strategies by investigating a large data set embracing several countries and industries. In this regard, the study differs from previous qualitative studies and experimental research as it is based on a large cross-country and cross-company set of secondary data. Thereby, the study allows drawing conclusions for a wide range of corporations and countries, hence increasing its general applicability.

Unlike other populations, entrepreneurs may be unable to fully escape from job-related stress due to their financial and/or psychological connection to their ventures. The authors argue that stress is a universal, intangible variable that profoundly influences the entrepreneurial process. In the present review, the authors critically synthesize past literature to evaluate the substantive body of research on stress in entrepreneurship and assess the impact of stress on individuals’ well-being. The authors find that entrepreneurial stress stems from role conflict or overload, issues related to business operations, and concerns from life outside the venture. Further, stress may result in changes to personal satisfaction and psychological well-being, contingent upon an individual’s stress tolerance, coping strategies, or recovery practices. The entrepreneurial process, from creation to exit, is comprised of several transition periods, all of which are uniquely stressful. The authors explore the implications of our findings by discussing stressors that may manifest during each stage of the entrepreneurial process. Therefore, the authors respond to calls for more dynamic investigation of entrepreneurial stress while also highlighting the need for more research into stressors associated with specific entrepreneurial activities.

This study aims to optimise the effect of pre-oxidation on hot corrosion behaviour of Tribaloy T-900 at 900 °C in mixed Na₂SO₄ and K₂SO₄.

Prior to hot corrosion experiment, pre-oxidation treatments were carried in ambient air at 900 °C for 1, 5 and 10 h, respectively. The hot corrosion experiments were performed in a box type furnace at 900 °C. Both surfaces of specimens were brushed with saturated salt solution of 75 wt.% Na₂SO₄ + 25 wt.% K₂SO₄. After brushing, the salt-coated specimens were placed in electric stove to ensure drying of salt. After drying, presence of 3 mg/cm² salt on specimen’s surface was ensured through weighting.

The 1-h pre-oxidation treatment prior to hot corrosion showed superior hot corrosion resistance against molten salt attack. An optimum pre-oxidation time of 1 h helped timely formation of protective Cr₂O₃ layer and inhibited the formation of less stable and porous surface oxides of Ni and Mo during hot corrosion.

Pre-oxidation effect on hot corrosion behaviour of refractory metal (such as Mo in investigated alloy) containing alloy has never been reported previously. Refractory metals oxide (e.g. MoO3) could transform the corrosion phenomena to catastrophic failure through acidic fluxing.

The purpose of this paper is to extend prior supply chain research by describing the process of innovation knowledge increase in supply chain network. More specifically, this study investigates the role of network density, and views the knowledge increase as the process of knowledge diffusion and knowledge innovation.

A multi-agent model, which demonstrates the process of knowledge increase in supply chain network, was established, and simulated by using NetLogo simulation platform.

The results indicate that the network density will promote the knowledge increase of the supply chain when it is high or low. In the meantime, these results show that the inhibition of knowledge diffusion and knowledge innovation will appear when network density is moderate.

Although previous research has identified the importance of knowledge increase in promoting sustainable development of supply chain, far less attention was given to the study of the effect of network structure on the knowledge increase in supply chain. This study thus fulfills the research gap by providing a description of the process of knowledge increase with the consideration of network density. The conclusion is of great significance for the choice of network density for sustainable development of supply chain.