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This paper aims to develop an electrochemical abrasive jet machining (ECAJM) technology to investigate the surface machining effect of Ti-6Al-4V alloy.

First, the ECAJM equipment was set up, and a series of experiments for the surface machining of Ti-6Al-4V alloy was performed.

The experimental results show that the flowing abrasives of 0.05 Wt.% can effectively remove the TiO₂ oxide film of Ti-6Al-4V alloy surface. In addition, the flowing abrasives produce cutting machining effect on the surface of titanium aluminum alloy, and the oxide film can be removed effectively. For the case of machining pressure of 0.4 Mpa and machining gap of 0.4 mm, the processing efficiency can be achieved up to 20 µm/s.

Under different machining pressure, the flowing abrasive with high kinetic energy impacting the Ti-6Al-4V alloy surface and the oxide film produced from the electrolytic reaction process can be removed effectively, thereby enhancing the efficiency of electrochemical machining process.

The online-to-offline (O2O) business is developing rapidly and is highly popular in many countries. Nevertheless, O2O suffers from a large number of customer complaints that result in consumer loss. Focusing on the O2O context, this study integrates expectation disconfirmation theory (EDT) and justice theory to investigate consumers' dissatisfaction toward O2O websites.

A research model was proposed and tested using 329 survey responses.

Results show that the identified website disconfirmation and offline service disconfirmation could lead to consumer dissatisfaction. Importantly, the impacts of disconfirmation factors are contingent upon the justice perception of consumers. When a transaction is perceived as unfair, website disconfirmation arouses a higher level of dissatisfaction, and the negative emotions could transfer from O2O and damage the website's reputation.

This study explores the continuance intentions of customers toward O2O websites from a dissatisfaction perspective, with insights for future service studies and O2O service managers.

Drawing upon resource-based view (RBV) and attribution theoretical lenses, this chapter provides a paradigm for examining the interplay among environmental investment towards green innovation, environmental disclosure as well as firm performance using the structural equation modelling (SEM) methodology. This chapter demonstrate a growing environmental awareness among stakeholders of the relevance of environmental performance to share value. It is also suggested that the mediating power of environmental disclosure between environmental investment and firm value as well as incremental goodwill is crucial. The findings of this chapter provide critical implications for several stakeholders that if environmental performance is hypothesised to affect the firm's value, companies may take proactive measures to avert potential environmental-related violations. Besides, investors may trade based on the evidence as to how firm value and its goodwill from acquisition will be affected by news of its environmental performance.

The purpose of this paper is to investigate the relationships between different types of team goal orientations (team learning orientation, team prove orientation and team avoid orientation) and team performance in new product development (NPD) and how these relationships are mediated by team absorptive capacity.

Data were collected through two surveys from 71 NPD teams and analyzed by the confirmatory factor analysis, correlation and hierarchical regression analysis methods.

The authors find that both teams’ learning and prove orientations are positively related to their absorptive capacity, which leads to increasing team performance in NPD. Further, the authors find support for the mediating role of team absorptive capacity in connecting team learning orientation and team prove orientation with team performance in NPD.

For practitioners, this paper suggests that to benefit from their NPD team efforts, firms with innovative aspirations should consider their existing and desired access to external knowledge sources and particularly the extent to which they can successfully integrate external knowledge with their internal knowledge structure.

The explication of team absorptive capacity is as a key mechanism through which different goal orientations of NPD teams inform the ability to successfully develop new products. By integrating the concepts of team goal orientations, team absorptive capacity and team performance in NPD, the authors seek to gain a better understanding of why some firms are more likely to do better than others in NPD. Findings of this paper extend concept of the nomological network on how absorptive capacity may serve as a direct outcome of different goal orientations. This paper responds to how Chinese firms can increase their innovative performance by infusing their current knowledge bases with external knowledge and extends the literature on knowledge management and managerial ties on innovation.

This study examines the relationship between the dimensions of fertility care quality and the dimensions of experiential relationship marketing in fertility tourism.

The data used in this study were based on a sample of 532 Mainland Chinese fertility tourists who received fertility care services in eight private fertility clinics in four Malaysian states, indicating that the proposed model fitted the data.

Findings show that the dimensions of fertility care quality (professional skills, patient orientation and physical comfort) and experiential value positively influence experiential satisfaction. Additionally, experiential trust is positively influenced by both experiential satisfaction and experiential value. Also, experiential commitment is positively influenced by experiential satisfaction, experiential trust and experiential value.

Fertility tourism service providers could focus on refining the dimensions of fertility care quality to improve experiential relationship marketing.

This paper provides the data that result in a better understanding of the relationship between the dimensions of fertility care quality and the dimensions of experiential relationship marketing in fertility tourism.

The Communist revolution in China has led to the appearance in this country of increasing numbers of Chinese books in Russian translation. The Chinese names in Cyrillic transcription have presented many librarians and students with a new problem, that of identifying the Cyrillic form of a name with the customary Wade‐Giles transcription. The average cataloguer, the first to meet the problem, has two obvious lines of action, and neither is satisfactory. He can save up the names until he has a chance to consult an expert in Chinese. Apart altogether from the delay, the expert, confronted with a few isolated names, might simply reply that he could do nothing without the Chinese characters, and it is only rarely that Soviet books supply them. Alternatively, he can transliterate the Cyrillic letters according to the system in use in his library and leave the matter there for fear of making bad worse. As long as the writers are not well known, he may feel only faintly uneasy; but the appearance of Chzhou Ėn‐lai (or Čžou En‐laj) upsets his equanimity. Obviously this must be entered under Chou; and we must have Mao Tse‐tung and not Mao Tsze‐dun, Ch'en Po‐ta and not Chėn' Bo‐da. But what happens when we have another . . . We can hardly write Ch'en unless we know how to represent the remaining elements in the name; yet we are loth to write Ch'en in one name and Chėn' in another.

The Chinese data setting allows researchers to explore the influence of local versus national (central) government ownership on companies. This study aims to examine the influence of government ownership (local versus national) and auditor choice (choosing larger or smaller firms) on audit pricing in China.

This study executed three panel data regressions to examine the two hypotheses using 19,626 observations from 2009 to 2017 in the Chinese data setting. This study also uses the Sobel test to investigate the moderating effect of auditor choice.

This study first examines whether choosing a large audit firm positively influences audit pricing and whether listed state-owned enterprises (SOEs) charge less audit fees to audit firms after controlling for various variables. However, the interaction influence of government ownership and audit firm size on audit pricing is positive, suggesting that a large audit firm charges a client company more, even if the client is an SOE. More importantly, when we divide SOEs into national- and local-SOEs, the results of the influence of auditor choice, government ownership and the interaction of government ownership on audit pricing are consistent (plus, minus, plus), and audit firms charge local-SOEs less than national-SOEs. Furthermore, from the additional analysis, this study finds that the strong auditor type has a moderate effect on the case of local-SOEs on audit pricing and local-SOEs choose smaller auditors.

Research on the differences between local and national government ownership is limited. This study adds empirical results from this perspective. In particular, the findings suggest a further audit pricing research direction to consider the influence of client companies’ ownership types and auditor choice, especially in countries with planned economies.

The purpose of this study is to achieve an accurate intelligent fault diagnosis of rolling bearing.

To extract deep features of the original vibration signal and improve the generalization ability and robustness of the fault diagnosis model, this paper proposes a fault diagnosis method of rolling bearing based on multiscale convolutional neural network (MCNN) and decision fusion. The original vibration signals are normalized and matrixed to form grayscale image samples. In addition, multiscale samples can be achieved by convoluting these samples with different convolution kernels. Subsequently, MCNN is constructed for fault diagnosis. The results of MCNN are put into a data fusion model to obtain comprehensive fault diagnosis results.

The bearing data sets with multiple multivariate time series are used to testify the effectiveness of the proposed method. The proposed model can achieve 99.8% accuracy of fault diagnosis. Based on MCNN and decision fusion, the accuracy can be improved by 0.7%–3.4% compared with other models.

The proposed model can extract deep general features of vibration signals by MCNN and obtained robust fault diagnosis results based on the decision fusion model. For a long time series of vibration signals with noise, the proposed model can still achieve accurate fault diagnosis.

Today, customers are generally perceived to be demanding higher quality and better performing products, in shorter and more predictable development cycle-times and at a lower cost. These market pressures drive firms to collaborate with possible partners in product development (PD) processes. However, the selection of a suitable partner for an effective PD is not an easy decision and is associated with complexity. The purpose of this paper is to propose an integrated multi-criteria decision-making (MCDM) approach to effectively evaluate PD partners.

The proposed evaluation procedure consists of several steps. First, based on a literature review and expert validation, the strategic main and sub-criteria of the PD partner selection process that companies consider the most important are identified. After constructing the evaluation criteria hierarchy, the criteria weights are calculated by applying the Analytic Hierarchy Process (AHP) method. The VIKOR (a compromise ranking) method is used to obtain the final partner ranking results. A case study is given to demonstrate the potential of the methodology. In the last part of the study, a sensitivity analysis is performed to determine the influence of criteria weights on the decision making process.

The PD partner evaluation model contains three main criteria, namely, partner, collaboration and PD-oriented criteria, with 13 sub-criteria. The market position, competency of the partner, compatibility, technical expertise and complementarity are found as the most considerable evaluation criteria for the ABC case company. Results of the sensitivity analysis from different cases demonstrate that the integrated AHP-VIKOR model is quite sensitive to the weights assigned to the evaluation criteria. This finding underlines the importance of forming a capable, qualified group of experts for the decision-making procedure. The results of the empirical study show that the proposed evaluation framework is practical for solving partner selection problems.

Partner selection is critical to the success of a collaborative PD process. The main contribution of this paper is the definition and development of an effective evaluation framework to guide managers for suitable PD partner selection. In our knowledge, there exists no study in the literature that combines the established AHP VIKOR model for PD partner selection problem. This study can be useful to researchers to better understand PD partner selection problem theoretically, as well as to organizations in designing better satisfying PD partner evaluation systems.

This study aims to develop a framework that demonstrates the role of social capital in alleviating knowledge hiding behaviour in organisations while also considering the moderating roles of perceived organisational politics and the perceived value of knowledge in this process.

The authors conducted a systematic literature review of research papers on the topic of knowledge hiding to develop a framework for mitigating knowledge hiding.

This paper conceptualises social capital into three interrelated dimensions (e.g. structural, cognitive and relational). Based on the findings of the review, all the three social capital dimensions can potentially mitigate an individual’s propensity towards knowledge hiding. Additionally, the paper integrates two potential moderators: perceived organisational politics and perceived value of knowledge, which could undermine the outcomes of social capital in mitigating knowledge hiding.

Although the proposed framework may provide preliminary insights to practitioners and scholars, one of its key limitations is that it is conceptual. Future empirical research is needed to validate the proposed framework.

Existing research has focused on studying the antecedents and consequences of knowledge hiding. However, scant scholarly work explores how such behaviour can be mitigated. This paper addresses this gap and contributes to understanding how organisations can alleviate the prevalence of knowledge hiding by developing their social capital and by focusing on contextual factors.