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Motivating users to self-disclose online is significant to the long-term development of social media. Therefore, research on emotional disclosure, a significant form of self-disclosure, is required. By developing a stimulus-organism-response model, this study aims to investigate the mechanisms by which the social media environment affects users' online emotional disclosure.

This paper proposes two dimensions of social media environments, the online interpersonal environment (tie strength and network size) and the online information environment (self-reference). They are hypothesized to stimulate users' internal psychological needs (image management and emotional expression) which in turn will influence their emotional disclosure intentions. Using data from 489 users of WeChat Moments, the authors conduct partial least squares analysis to validate the research model.

The findings show that users' intrinsic psychological needs are stimulated by social media environments, but network size is not correlated with the need for emotional expression. The user's need for emotional expression promotes both positive and negative emotional disclosure intentions. The need for image management has a positive impact on positive emotion disclosure intentions but has a negative impact on negative emotion disclosure intentions.

This study contributes to the understanding of online emotional disclosure. It can also help social media managers create efficient plans to encourage users to create content.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2022-0245.

The purpose of this study is to examine the association between audit committee expertise and asymmetric information in the US equity market.

The authors use measures of information asymmetry for 705 US firms (5,260 firm-year observations) over the period from 2007 to 2018, and use the theory of expertise (Ericsson and Smith, 1991) to examine the association between audit committee financial expertise and information asymmetry. The authors use multiple econometric approaches such as firm fixed-effect regression and two-stage ordinary least squares regression to control for possible endogeneity and reverse causality and find that the results remain the same.

The authors find that the existence of an audit committee with financial expertise is negatively and significantly associated with information asymmetry. The authors further provide empirical evidence through which audit committee financial expertise affects the firm’s informational environment. Additional analysis supports the argument that the audit committee’s financial expertise enhances the firm’s informational environment by increasing (decreasing) analyst following (dispersion).

One limitation to consider, like most studies on audit committees, is that the authors do not examine the actual role performed by the audit committee. The authors focus on the characteristics stipulated by the Sarbanes–Oxley Act 2002 and stock exchange rules regarding the financial expertise of audit committee members only.

This study is useful to policy makers, standard setters, investors, activists, managers, lenders and various stakeholders who rely on the financial statements of firms with an expert audit committee on board. The outcome of this study promotes recruiting audit committees with financial expertise due to the assumed benefits of this trait to the US firm.

The results of this study are not event-dependent and therefore have persistent effects, which is important to the evaluation of the usefulness of a regulation. This study promotes recruiting audit committees with financial expertise on boards because of the assumed benefits to the firm and investors.

This study is the first to document that financial expertise of audit committee characteristics is not only negatively related to the magnitude of information asymmetry but also driven by the financial expertise of audit committee members rather than chairs.

This study aims to investigate the effect of the wall thickness, deposition orientation and two different post-processing methods on the local mechanical properties and microstructure of additively manufactured parts made of maraging steel. In order to examine the local properties of the build, miniaturized testing specimens were employed. Before application of small-sized specimens, their performance was verified.

The investigation was composed of two stages. As first, the part thickness, specimen size and orientation were studied on a laser-powder bed fusion (L-PBF) platform with deposited walls of various thicknesses made of maraging steel. Subsequently, the influence of different heat-treatment methods was investigated on the final product, i.e. impellers. The miniaturized and standard tensile tests were performed to investigate the local mechanical properties. The porosity, microstructures and fracture surfaces were analysed by X-ray-computed tomography, X-ray diffraction and scanning electron microscopy with electron backscatter diffraction.

The results revealed good agreement between the values provided by miniaturized and standard specimens. The thinnest parts produced had the largest pores and the highest scatter of elongation values. In these cases, also the sub-contour porosity was observed. Part thickness affected pores’ size and results repeatability but not total porosity. The two-step heat-treatment (solutionizing and age-hardening) exhibited the highest yield and ultimate tensile strength.

The microstructure and local mechanical properties were studied on L-PBF platform with deposited walls of various thicknesses. Subsequently, a detailed analysis was conducted on real components (impellers) made of maraging steel, commonly used in tooling, automotive and aerospace industries.

The broadly understood quality of manufactured parts is crucial for their reliable and long-lasting operation. The findings presented in the manuscript allow the readers better understanding of the connection between deposition parameters, post-processing, microstructure and mechanical performance of additive manufacturing-processed parts.

The purpose is to present a sensorless control method by which high‐resolution rotor position information is estimated and used for phase‐advancing operation of a high‐speed permanent magnet (PM) brushless DC (BLDC) motor.

The proposed sensorless control approach uses hardware to observe the flux vector which is excited by rotor magnets. It can provide the rotor position which is the same as the phase angle of the observed flux vector.

High‐resolution rotor position signal of the BLDC motor for dynamic phase‐advancing control cannot be directly obtained from the conventional Hall‐effect sensors, or via the traditional back‐EMF‐based sensorless control strategies in which the back‐EMF may be even undetectable at high‐speed. The proposed rotor‐flux‐observer (RFO)‐based sensorless control method overcomes these problems, and meanwhile provides high‐resolution rotor position information for the phase‐advancing purpose.

The RFO‐based sensorless control is traditionally applied to PM brushless ac (BLAC) operations, where the motor voltage vector can be calculated from the inverter switching status. However, this is not readily applicable to a BLDC motor since the voltage of the floating phase cannot be calculated. Moreover, during high‐speed operation, the microprocessor may not be sufficiently fast to calculate the high‐resolution rotor position. Therefore, in this paper, it is proposed to use hardware to observe the rotor‐flux‐vector. The microprocessor only samples the vector's α‐ and β‐components and calculates the phase angle, hence, its burden is low. The proposed method is validated with a 1.8 kW 85,000 rpm BLDC motor system.

Although the Chinese economy has experienced a strong and rapid growth due to the success of its economic reform, the Chinese central government faces a stern fiscal decline. The fiscal problem has undermined the ability of the central government in completing many crucial governing tasks. By examining the institutional root of the fiscal problem, this paper argues that the fiscal decline is part of the ironic corollary of the decentralization strategy of China’s economic reform which produces a “weak center, strong local” outcome. To fully address the problem, China should undertake major institutional reforms to redefine as well as institutionalize the fiscal roles of different levels of government.

To boost the fiscal revenue, i.e., government revenue over GDP and central government revenue over government total revenue, China conducted the 1994 fiscal reforms. According to some observers, the results of the initial reforms were mixed. This study reveals, contrary to most examinations of previous studies, the 1994 fiscal reforms have been an enormous success in achieving the original policy purposes, although remaining problems still present a daunting task for the Chinese government. This paper examines the factors triggering the 1994 fiscal reforms, reveals the contents and accomplishments of the reforms, explores unfinished tasks and ultimately proposes some policy implications.

Cybersecurity and data protection concerns have gained notoriety in past years intensified by the Facebook-Cambridge Analytica “scandal” in early 2018, which exposed millions of individual data. This case revealed that both regulatory measures and data protection mechanisms were, and still are, insufficient, with several countries reforming or promulgating new legislation. The Article 19 EU General Data Protection Regulation (GDPR) contains controversial extra-territorial provisions, which might violate State Sovereignty principles. It is still unknown how the GDPR will be implemented. This chapter reveals data protection as an Ethics discipline, considering that it is a fundamental right of individuals to share or not to share data, vis-á-vis the rights to have the personal data well-protected. The empirical research will be developed based on the need to build up a concept of Responsible Entrepreneurship in the technology sector, applied to cross-border e-commerce. The Digital Silk Road is the case study selected since it represents a complex international cooperation initiative done without institutionalization yet with eminent data surveillance concerns when building network infrastructure and satellite navigation systems.

As the size of the population is growing and the capacity of the planet Earth is limited, human beings are searching for sustainable and technology-enabled solutions to support society, ecology and economy. One of the solutions has been developing smart sustainable cities. Smart sustainable cities are cities as systems, where their infrastructure, different subsystems and different functional domains are virtually connected to the information and communication technologies (ICT) and internet via sensors and devices and the Internet of Things (IoT), to collect and process real-time Big Data and make efficient, effective and sustainable solutions for a democratic and liveable city for its various stakeholders. This chapter explores the concepts and practices of sustainable smart cities across the globe and explores the use of technologies such as IoT, Blockchain technology and Cloud computing, etc. their challenges and then presents a view on business models for sustainable smart cities.

This chapter integrates current Chinese education reform into the unique socioeconomic context of China in a transitional time and explores the complexity of education decentralization in China through an in-depth analysis on changes in education finance, administration, and curriculum development. Mark Hanson's theory of education decentralization is cited to build a conceptual framework for examining education decentralization in China. Previous studies, government documents, laws, and regulations related to the current wave of Chinese education reform are reviewed to capture a true picture of education decentralization in China. In investigating the background, actual actions, and motive of the current Chinese education reform, the chapter demonstrates that the on-going Chinese education reform is moving toward a centralized decentralization. Linking education with the unified national goal of economic modernization, the paradoxical mixture of centralization and decentralization is a strategic means to avoid loss of centralized control. Literature on decentralization reform in Chinese education primarily concentrates on changed Chinese education policies in the reform. This chapter places the focus on the contextual factors that shape the decentralization trend in current reform.

Under the Chinese planned economy, there was no need for trained managers. Consequently, a huge skills shortage has arisen, focused in areas such as financial management, marketing and HRM. China’s Education Vice Minister estimates a need for 2.7m trained managers to meet the competitive challenges facing the country. In China’s universities, however, the requisite skills and experience are largely absent. Yet, imported training lacks the unique cultural context and suffers translation difficulties while the students lack the appropriate conceptual frameworks to interpret their new knowledge. Additionally, foreign programmes are forced to deliver within the context of a local university system which is usually inappropriate. The China Europe International Business School (CEIBS) was set up to overcome these constraints and to establish a model for management education in China. This paper describes the issues and challenges in the establishment of the school, the implications for China and the achievements after the first five years of the school.