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The purpose of this paper is to investigate the main determinants of consideration in China's non-tradable shares reform. The primary objective is to dig into the institutional factors that affect consideration in China's non-tradable shares reform.

The authors examine a sample of 846 state-owned enterprises (SOEs) that have finished the non-tradable shares reform during 2005-2009. Using the multiple liner regression, the authors discuss the important factors which affect consideration.

The authors find that ownership reconstruction form and capital occupation are very important determinants of consideration. The main factor which affects controlling shareholders’ capital occupation is the form of ownership reconstruction. Capital occupation of incompletely ownership reconstructed companies is more serious than those of complete ownership reconstructed companies. Furthermore, companies of incomplete ownership reconstruction and higher capital occupation paid higher consideration as a compensation for the expropriation of tradable shareholders’ benefit during the shares split period.

This study provides not only a deeper understanding of the reform of non-tradable shares but also an important empirical reference for reform of SOEs in China.

This paper aims to overcome the defect that the traditional clustering method is excessively dependent on initial clustering radius and also provide new technical measures for detecting the component content of lubricating oil based on the fuzzy neural system model.

According to the layers model of the fuzzy neural system model for the given sample data pair, the new clustering method can be implemented, and through the fuzzy system model, the detection method for the selected oil samples is given. By applying this method, the composition contents of 30 kinds of oil samples in lubricating oil are checked, and the actual composition contents of oil samples are compared.

Through the detection of 21 mineral elements in 30 oil samples, it can be known that the four mineral elements such as Zn, P, Ca and Mg have largest contribution rate to the lubricating oil, and they can be regarded as the main factors for classification of lubricating oil. The results show that the fuzzy system to be established based on sample data clustering has better performance in detection lubricant component content.

In spite of lots of methods for detecting the component of lubricating oil at the present, there is still no detection of the component of lubricating oil through clustering method based on sample data pair. The new nearest clustering method is proposed in this paper, and it can be more effectively used to detect the content of lubricating oil.

The purpose of this study is to develop a better understanding of how information technology (IT) resources influence a firm’s channel power development. Specifically, this study hypothesizes that two types of IT resources (i.e. IT infrastructure resources and IT human resources) are key antecedents to channel power and that information management capability is a key mediator between IT resources and channel power.

The hypotheses are tested using survey data gathered from a sample of Chinese companies. The analyses are performed using partial least squares technique.

The results suggest that both of the two IT resources play key roles in enhancing a firm’s channel power, but they do so in different ways. Specifically, while IT human resources can enhance a firm’s channel power by strengthening both information acquisition and dissemination capabilities, IT infrastructure resources can influence channel power only by enhancing a firm’s information acquisition capability.

The measurement of IT resources might potentially be influenced by subjective divergence. In addition, information management contains many sub-processes, and this study only examines two of them: information acquisition and information dissemination.

The findings suggest that managers should develop/improve both IT infrastructure and human resources to enhance channel power by building stronger information management capability. More importantly, the findings reveal that IT human resource can provide more benefits as it strengthens both information acquisition and dissemination capabilities.

This study extends the existing literature by investigating how a firm’s IT resources affect its channel power. The results of this study provide insightful guidance for managers and researchers in how to better manage IT resources to improve channel governance performance.

Cross-channel integration improves the operations of multi-channel and omnichannel marketing and increase firms' overall performance. By addressing the extant gaps in current literature, this configurational analysis aims to test the combined effects of organizational, channel and environmental factors on cross-channel integration.

Data were collected from a sample of 180 manufacturers. Necessary condition analysis (NCA) was used to test whether two organizational factors (firm size and IT capability), one environmental factor (environmental dynamism) and two channel factors (channel diversity and proportion of direct channels) were necessary or unnecessary conditions for high cross-channel integration. Fuzzy-set qualitative comparative analysis (fsQCA) was applied to analyze the configurational factors of high vs low cross-channel integration.

First, firm size and IT capability are non-linear and substitute for each other in affecting cross-channel integration in a diversified channel system with a high proportion of direct channels. Second, in a dynamic environment, firms with large size and IT advantage could achieve high cross-channel integration by diversifying channel types or increasing the proportion of direct channels. Third, the effect of channel diversity and proportion of direct channels on cross-channel integration is asymmetric depending on other antecedent conditions.

The authors tested a configurational framework developed from multiple theoretical perspectives. The authors' empirical findings contribute to the literature by providing insights into the mechanisms underlying the formation of high and low cross-channel integration. The results suggest multiple ways for firms to promote cross-channel integration by adjusting channel factors based on configurational conditions.

Despite the relatively long research continuum on IT capability and performance, the “IT capability-performance” link has remained hazy especially related to the mediating role of IT-based communication and networking overall. Therefore, this study investigates how IT capability affects Internet interactive practice and how it further affects marketing effectiveness and firm success.

The authors collected the survey data from 504 manufacturers in China, and structural equation modeling is used to test the hypotheses.

The results indicate that (1) IT capability has positive effects on both interorganizational systems (IOS)-enabled and social media (SM)-enabled interactive practice; (2) IOS-enabled interactive practice has a significant positive effect on both marketing and financial performance while SM-enabled interactive practice has a positive effect on marketing performance but no effect on financial performance; (3) IOS-enabled interactive practice mediates the effect of IT capability on marketing and financial performance while SM-enabled interactive practice only mediates the effect of IT capability on marketing performance; (4) marketing performance mediates the impact of IOS-enabled and SM-enabled interactive practice on financial performance.

This study has highlighted the role of social media practice in the relationship between IT capability and firm performance, which makes certain theoretical contributions to the existing research.

This paper aims to present a hybrid machine learning algorithm for additive manufacturing (AM) design feature recommendation during the conceptual design phase.

In the proposed hybrid machine learning algorithm, hierarchical clustering is performed on coded AM design features and target components, resulting in a dendrogram. Existing industrial application examples are used to train a supervised classifier that determines the final sub-cluster within the dendrogram containing the recommended AM design features.

Through a case study of designing additive manufactured R/C car components, the proposed hybrid machine learning method was proven useful in providing feasible conceptual design solutions for inexperienced designers by recommending appropriate AM design features.

The proposed method helps inexperienced designers who are newly exposed to AM capabilities explore and utilize AM design knowledge computationally.

Based on social network theory and the literature of contract governance, the purpose of this study is to explore how distributors’ “banding together” (network intensity) affects contract governance (detailed contracts), which, in turn, influences channel conflict and simultaneously tests the moderating effect of network centrality.

The authors collect the data from the side of 288 manufacturers.

This study finds that, first, distributors’ network intensity positively affects detailed contracts between manufacturers and distributors; second, detailed contracts, in turn, declines channel conflict; and third, network centrality will weaken the positive influence of network density on detailed contracts. In addition, an ex post analysis finds that detailed contracts play a negative mediating role between distributors’ network density and channel conflict and this negative mediating effect would be weakened by distributors’ network centrality.

The current study not only helps to make up for the shortcomings of using the dyadic analysis paradigm to analyze channel behavior but also helps manufacturers to understand and respond to the phenomenon of distributors’ “banding together” comprehensively and deeply.

This paper aims to evaluate the effect of commitment misperception on channel conflict. It highlights the importance of trust and transaction-specific investments for business marketing strategies.

This paper develops a concept framework to understand how the direction (overestimated vs underestimated) and extent of commitment misperception influence channel conflict. The model is tested using dyadic data from 212 distributors and manufacturers across several industries in China.

The results show that the direction of commitment misperception affects trust, transaction-specific investments and channel conflict. Overestimated commitment induces positive illusion and enhances trust and transaction-specific investments and reduces channel conflict, whereas underestimated commitment induces negative illusion and reduces trust and transaction-specific investments and enhances channel conflict. Trust and transaction-specific investments mediate the impact of the direction of commitment misperception on channel conflict. The extent of commitment misperception plays the moderating influence on the direction of commitment misperception.

This study reveals the mechanisms and boundary conditions by exploring the mediating influence of trust and transaction-specific investments and the moderating effects of the extent of commitment misperception.

This paper aims to propose methods to evaluate the characteristic length of the melt pool for accurate fabrication and to identify the optimal process parameters in the selective laser melting process.

Specimens with the types of the scans by controlling the degree of the overlap with hatch spacing are fabricated. The scan modes are classified by statistically analyzing the results of hardness tests. According to the classification of the scans, the evaluation methods are proposed based on the observation of the shape of the solidified melt pool.

The control of the hatch spacing can reproduce all modes of the scan conditions, and hardness can be used to classify the scan modes.

The proposed evaluation methods are based on the analysis of the experimental observation so that they can be easily used for the real evaluation.

Additive manufacturing (AM), a method used in the nuclear, space and racing industries, allows the creation of customized titanium alloy scaffolds with highly defined external shape and internal structure using rapid prototyping as supporting external structures within which bone tissue can grow. AM allows porous tantalum parts with mechanical properties close to that of bone tissue to be obtained.

In this paper, porous tantalum structures with different scan distance were fabricated by AM using laser multi-layer micro-cladding.

Porous tantalum samples were tested for resistance to compressive force and used scanning electron microscope to reveal the morphology of before and after compressive tests. Their structure and mechanical properties of these porous Ta structures with porosity in the range of 35.48 to 50 per cent were investigated. The porous tantalum structures have comparable compressive strength 56 ∼ 480 MPa, and elastic modulus 2.8 ∼ 9.0GPa, which is very close to those of human spongy bone and compact bone.

This paper does not demonstrate the implant results.

It can be used as implant material for the repair bone.

It can be used for fabrication of other porous materials.

This paper system researched the scan distance on how to influence the mechanical properties of fabricated porous tantalum structures.