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Drawing on the transactional model of stress, this study develops a theoretical model to understand the lurking behavior on enterprise social media (ESM).

Based on a questionnaire survey, this research study collected valid data from 301 ESM users in the workplace. Hierarchical regression analyses are used to analyze the conceptual framework.

The results show that Zhongyong thinking is a significant predictor of lurking and emotional exhaustion and that lurking can cause emotional exhaustion. Lurking mediates the relationship between Zhongyong thinking and emotional exhaustion. Additionally, communication overload moderates the relationship between lurking and emotional exhaustion as well as the indirect relationship between Zhongyong thinking and emotional exhaustion through lurking.

This article examines the antecedents of lurking by considering Zhongyong thinking and explores how lurking on ESM influences emotional exhaustion. This research contributes to the literature on techno-stressors, lurking and ESM and hopefully contributes to the growing dialog about the consequences of lurking in the workplace.

Despite consumers' widespread use of social media platforms, there is scant research on the underlying factors that influence their willingness to share digital footprints on social media. The purpose of this study is to address this research gap by examining consumers' cognitive and affective attitudes simultaneously.

This research used quantitative method by using online survey administered to a sample of 733 social media users.

The findings indicate both cognitive and affective attitudes jointly influence consumers' behavioural intentions with trust as a key construct mediating the relationship between attitudinal antecedents and consumers' willingness to share digital footprints on social media.

This study contributes to the information systems (IS) literature by offering a comprehensive framework constituting the joint attitudinal components as antecedents to consumers' behavioural intention for sharing digital footprints while trust works as a mediator.

This paper has important managerial implications. It helps marketers and IS managers in profiling consumers, understanding consumption patterns, sharing of digital footprints, which are useful for effective market segmentation, product development and future design of social media platforms. It informs social media providers of the importance of not only focussing on functional aspects but also underscores the essence of paying attention to consumers' affect towards social media platforms, especially trust.

The paper presents an original framework that explains the influence of joint attitudinal components on behavioural intention, with trust as a mediator.

1. To improve the causality analysis performance, a novel causality detector based on time-delayed convergent cross mapping (TD-CCM) is proposed in this work. 2. Identify the root cause of plant-wide oscillations in process control system.

A novel causality analysis framework is proposed based on denoising and periodicity-removing TD-CCM (time-delayed convergent cross mapping). We first point out that noise and periodicity have adverse effects on causality detection. Then, the empirical mode decomposition (EMD) and detrended fluctuation analysis (FDA) are combined to achieve denoising. The periodicities are effectively removed through singular spectrum analysis (SSA). Following, the TD-CCM can accurately capture the causalities and locate the root cause by analyzing the filtered signals.

1. A novel causality detector based on denoising and periodicity-removing time-delayed convergent cross mapping (TD-CCM) is proposed. 2. Simulation studies show that the proposed method is able to improve the causality analysis performance. 3. Industrial case study shows the proposed method can be used to analyze the root cause of plant-wide oscillations in process control system.

1. A novel causality detector based on denoising and periodicity-removing time-delayed convergent cross mapping (TD-CCM) is proposed. 2. The influences of noise and periodicity on causality analysis are investigated. 3. Simulations and industrial case shows that the proposed method can improve the causality analysis performance and can be used to identify the root cause of plant-wide oscillations in process control system.

A major challenge faced by MNCs is how to manage knowledge transfer between headquarters and subsidiaries located in dissimilar cultural contexts. While the impact of culture on knowledge transfer has been widely acknowledged, an important gap in the literature is how cultural distance (external variable) and subsidiary roles (internal variable) interact in impacting on knowledge flows in MNCs. The purpose of this paper is to present an integrative model to advance understanding of the interaction between cultural distance and subsidiary roles in the knowledge transfer process within MNCs.

An environment‐strategy‐performance framework is developed based on a review of extant literature. A case study is used to substantiate the framework. It was conducted in an MNC in China and involved in‐depth interviews with expatriate and local managers.

Knowledge transfer in MNCs is influenced by external context (cultural distance) and internal mechanisms (subsidiary roles). The direction and magnitude of knowledge flows is related to the strategic roles of the subsidiary and is influenced by cultural distance. Negative impacts are evident where cultural distance is large, with positive impacts where cultural synergies occur. Changes in Chinese cultural values impacting on knowledge transfer are also evident.

The conceptual model combines internal resource and external environmental perspectives. It links literature on cross‐cultural management, subsidiary roles and MNC knowledge transfer. Furthermore, it explores linkages between culture and knowledge transfer, cultural distance and subsidiary roles, knowledge transfer and subsidiary roles. The model is operationalised in a China‐based case study.

The purpose of this study is to explore a signal processing method to improve the angular rate accuracy of micro-electro-mechanical system (MEMS) gyroscope by combining numerous gyroscopes.

To improve the dynamic performance of the signal processing method, the interacting multiple model (IMM) can be applied to the fusion of gyroscope array. However, the standard IMM has constant Markov parameter, which may reduce the model switching speed. To overcome this problem, an adaptive IMM filter is developed based on the kurtosis of the gyroscope output, in which the transition probabilities are adjusted online by utilizing the dynamic information of the rate signal.

The experimental results indicate that the precision of the gyroscope array composed of six gyroscopes increases significantly and the kurtosis-based adaptive Markov parameter IMM filter (K-IMM) performs better than the baseline methods, especially under dynamic conditions. These experiments prove the validity of the proposed fusion method.

The proposed method can improve the accuracy of MEMS gyroscopes without breakthrough on hardware, which is necessary to extend their utility while not restricting the overwhelming advantages.

A K-IMM algorithm is proposed in this paper, which is used to improve the angular rate accuracy of MEMS gyroscope by combining numerous gyroscopes.

Given the cryptocurrency market boom in recent years, this study aims to identify the factors influencing cryptocurrency pricing and the major gaps for future research.

A systematic literature review was undertaken. Three databases, Scopus, Web of Science and EBSCOhost, were used for this review. The final analysis comprised 88 articles that met the eligibility criteria.

The influential factors were identified and categorized as supply and demand, technology, economics, market volatility, investors’ attributes and social media. This review provides a comprehensive and consolidated view of cryptocurrency pricing and maps the significant influential factors.

This paper is the first to systematically and comprehensively review the relevant literature on cryptocurrency to identify the factors of pricing fluctuation. This research contributes to cryptocurrency research as well as to consumer behaviors and marketing discipline in broad.

The emergence the fourth industrial revolution, known as well as industry 4.0, and its applications in the manufacturing sector ushered a new era for the business entities. It not only promises enhancement in operational efficiency but also magnify sustainable operations practices. This current paper provides a thorough bibliometric and network analysis of more than 600 articles highlighting the benefits in favor of the sustainability dimension in the industry 4.0 paradigm.

The analysis begins by identifying over 1,000 published articles in Scopus, which were then refined to works of proven influence and those authored by influential researchers. Using rigorous bibliometric software, established and emergent research clusters were identified for intellectual network analysis, identification of key research topics, interrelations and collaboration patterns.

This bibliometric analysis of the field helps graphically to illustrate the publications evolution over time and identify areas of current research interests and potential directions for future research. The findings provide a robust roadmap for mapping the research territory in the field of industry 4.0 and sustainability.

As the literature on sustainability and industry 4.0 expands, reviews capable of systematizing the main trends and topics of this research field are relevant.

WO₃ particles were prepared by the sol-gel method. Tetraethyl silicate (TEOS) was used to obtain a SiO₂-coated WO₃ nanoparticle. Quantum chemical parameters of oleic acid, triethanolamine, glycerol and methyl pentane as dispersants were theoretically calculated. Tribological properties of SiO₂/WO₃ nanocomposite lubricant were carried out on an MRS-10A four-ball friction and wear tester.

The purpose of this study is to investigate the preparation and tribological properties of SiO₂/WO₃ nanocomposite lubricant.

The obtained SiO₂-coated WO₃ nanoparticle (nano-SiO₂/WO₃) with a particle size of about 70 nm. The calculated adsorption energy of triethanolamine on the surface of the steel ball is 554.6 eV, and triethanolamine is selected as the dispersant. The dispersion effect of SiO₂/WO₃ nanocomposite lubricant is good, which shows that triethanolamine oleate plays a good dispersion role in the preparation of lubricant, which is consistent with the calculation results of the adsorption capacity of dispersant. As a good auxiliary lubricant, SiO₂ can improve the tribological properties and wear resistance of WO₃.

Nanocomposite lubricants have been the focus of research in recent years, which could greatly reduce energy consumption. And the SiO₂/WO₃ exhibited excellent lubrication performance as a lubricant additive. The lubrication mechanism of SiO₂/WO₃ nanocomposite lubricant is the synergistic lubrication mechanism of friction film lubrication and antifriction bearing. This study could provide a certain reference for the practical application of nanocomposite lubricants.

This study aims to explore the opposite effects of single-category versus multi-category products information diversity on consumer decision making. Further, the authors investigate the moderating role of three categories of visitors – direct, hesitant and hedonic – in the relationship between product information diversity and consumer decision making.

The research utilizes a sample of 1,101,062 product click streams from 4,200 consumers. Visitors are clustered using the k-means algorithm. The diversity of information recommendations for single and multi-category products is characterized using granularity and dispersion, respectively. Empirical analysis is conducted to examine their influence on the two-stage decision-making process of heterogeneous online visitors.

The study reveals that the impact of recommended information diversity on consumer decision making differs significantly between single-category and multiple-category products. Specifically, information diversity in single-category products enhances consumers' click and purchase intention, while information diversity in multiple-category products reduces consumers' click and purchase intention. Moreover, based on the analysis of online visiting heterogeneity, hesitant, direct and hedonic features enhance the positive impact of granularity on consumer decision making; while direct features exacerbate the negative impact of dispersion on consumer decision making.

First, the article provides support for studies related to information cocoon. Second, the research contributes evidence to support the information overload theory. Third, the research enriches the field of precision marketing theory.

China is a fast‐growing economy, and many multinational companies (MNCs) have found their ways to infiltrate that market. The competition among the MNCs has generated human resource management (HRM) problems. When formulating approaches in dealing with these problems, the expatriate management of the MNCs often “speak for” their local employees, as if the latter has no voice of its own. It is suspected that MNCs know partly what their local employees value. With such limited understanding, the former may be ineffective in managing their local staff. The purpose of this paper is to report a study that explores the HRM problems from local employees' perspectives. To understand Chinese employees, the conceptual lens, stemmed from Chinese philosophical traditions instead of that derived from western experience, is used.

Data were collected through semi‐structured interviews with Chinese employees working in MNCs.

The findings suggest that “asymmetrical understanding” exists between expatriate managers and their Chinese employees, and that the former may know much less about the latter than it is normally assumed.

The findings, illustrated through interviews, have shed light on how MNCs could manage their Chinese employees, and how a meaningful dialogue could take place: understanding the other (Chinese employees) on their own intellectual ground to overcome “asymmetrical understanding”.

By allowing the voice of the other to come forth rather than to keep it in the background as, at best, a whisper, the study helps create a platform for a meaningful cross‐cultural dialogue between voices from the west and the other.