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Today clothing has become the largest category in online shopping in China, and even in Asia-Pacific. The satisfaction degree of apparel online shopping can be improved by effective personalized recommendation. The purpose of this paper is to propose a personalized recommendation model and algorithm based on Kansei engineering, traditional filtering algorithm and the knowledge relating to apparel.

Users’ perceptual image and the design elements of apparel based on Kansei engineering are discussed to build the mapping relation between the design elements and user ratings employing verbal protocol, semantic differential and partial least squares. The implicit knowledge and emotional needs pertaining to users are accessed using analytic hierarchy process. A personalized recommendation model for apparel online shopping is established and the algorithm for the personalized recommendation process is proposed. To present the personalized recommendation model, men’s plaid shirts are taken as the example, and the recommendations of apparel for online shopping were implemented and ranked in the context of differing users’ emotional needs. A comparison between the traditional model and this model is made to verify the effectiveness.

The recommendation model is capable of analyzing data and information effectively, and providing fast, personalized apparel recommendation services in accordance with users’ emotional needs. The experimental results suggest that the model is effective.

Similar researches of recommendation mainly focus on the field of computer science, the basic idea of which is using users’ history accessing records or the preferences of other similar users for determination of users’ preferences. Since the attributes of apparel products are not factored in the approach referred above, the issue of personalized recommendation cannot be solved in a really effective way. Combining Kansei engineering and recommendation algorithm, a framework for apparel product recommendation is presented and it is a new way for improvement of recommendations for apparel products on shopping sites.

This paper aims to identify the relationship between users' perception image, clothing design features and users' preference and propose a clothing design scheme based on users perception image and users' preference.

In this paper, men's suit is composed into multiple design features under the design elements. Using the orthogonal experiment method, 16 schemes of the representative suit are designed. Through perception evaluation experiment, users' perception images and preference degree of the samples are obtained. By partial least squares (PLS) analysis method, the models between users' perception image, suit design features and users' preference are built.

The interrelationship between the three is identified by establishing PLS models between users' perception image, suit design features and users' preference. According to the coefficients of the models, the optimization schemes of men's suits considering users' perception image and preference are proposed. Verification results show that the optimization schemes are significantly better than other schemes.

The results of this paper can be used for consumer demand-oriented clothing design and provide references and methods for converting consumer's perceived needs into clothing design features.

In the process of designing new clothes, designers should identify specific user groups’ preferences and attitudes toward certain types of design, ascertain the design elements that make clothes popular in the market, and combine these elements to devise the best clothing design scheme. The purpose of this paper is to discover which design elements influence dress purchases and how age affects consumers’ choices in regard to these elements.

This study uses conjoint analysis in dress design to provide an effective method for designers to identify consumers’ preferences. First, the important attributes and attribute levels of dress design were determined. Next, the experimental samples for the attitude measurement chart were generated by orthogonal design. Finally, the data of 318 samples were analyzed by conjoint analysis to determine consumers’ preferences.

The results revealed that the “silhouette” attribute is the most important decision criterion for dress purchase, followed by the “dress length” attribute. In contrast, the “waistline height” attribute is perceived as least important. The study also identified the dress design features’ preferences of consumers of different ages. According to the results of the analysis, user groups’ preferences and acceptability regarding different design features were revealed, and the favorite dress design portfolio for age-specific consumers was obtained.

Currently, there is little information in the literature about consumers’ preferences regarding dress design. In this study, the use of conjoint analysis reveals and visualizes complex statistical results. This research approach is also applicable to the design and decision-making processes used for other apparel, and it can help designers better incorporate different users’ needs into clothing design.

Except the physiological comfort, the design aesthetic of plaid shirts is the decisive factor affecting the purchase decision making of consumers. However, as there is subjectivity and indeterminacy in evaluation of the aesthetic, current research in the literature has little information about the appearance design of checks. The purpose of this paper is to extract the check design features, which influence consumer evaluation, and determine the preferences of men of different ages for the check designs, and the preference differences between them.

Through cluster and preference experiments, the perception and evaluation of the subjects were gained. By cluster analysis, typical classifications of check designs were fixed. With Multidimensional Scaling (MDS) algorithm, users’ perceptual space was revealed as to the plaid samples. In the PREFMAP analysis, results of the ideal vectors of men of different ages were drawn.

The study results revealed four typical classifications of check designs, identified three design dimensions that had effects on users’ evaluation, and built the relationship between design features of checks and consumer evaluation. Besides, in the study, the differences in preference for check designs between men of different ages were also explored. It was found that young men liked modern check designs, but disliked “small and complex” check patterns. Middle aged men preferred dark and cool colors, with dislike for “youthful vigor style.” While they cared more about check colors, young men attached more importance to the design style.

Currently, there is little information in the literature about the evaluation of pattern design. In this study, the use of MDS and PREFMAP analysis reveals visualized complex statistical results. The visualization approach is also applicable to design and positioning of other apparel, and can help designers better understand and position design styles and effects, given their consumer groups and design samples.

This paper examines the problem of lack of historical data and inadequate consideration of factors influencing demand in the forecasting of demand for fast fashion clothing and proposes an improved Bass model for the forecasting of such a demand and the demand for new clothing products.

From the perspective of how to solve the lack of data and improve the precision of the clothing demand forecast, this paper studies the measurement of clothing similarity and the addition of demand impact factors. Using the fuzzy clustering–rough set method, the degree of resemblance of clothing is determined, which provides a basis for the scientific utilisation of historical data of similar clothing to forecast the demand for new clothing. Besides, combining the influence of consumer preferences and seasonality on demand forecasting, an improved Bass model for a fast fashion clothing demand forecast is proposed. Finally, with a forecasting example of demand for clothing, this study also tests the validity of the method.

The objective measurement method of clothing similarity in this paper solves the problem of the difficult forecasting of demand for fast fashion clothing due to a lack of sales data at the preliminary stage of the clothing launch. The improved Bass model combines, comprehensively, consumer preferences and seasonality and enhances the forecast precision of demand for fast fashion clothing.

The paper puts forward a scientific, quantitative method for the forecasting of new clothing products using historical sales data of similar clothing, thus solving the problem of lack of sales data of the fashion.

The purpose of this paper is to examine the impacts of ambidextrous capabilities, explorative capability and exploitative capability on product innovation performance in the context of internationalization and cross-cultural environment; and to examine the moderating effects of CEO’s preference of risks and opportunities in the international market on the relationship between ambidextrous capabilities and multinational enterprises’ (MNEs) product innovation performance.

Data were collected from 189 MNEs located in China, which develop international business through export, outsourcing, foreign equity investment or foreign direct investment. Measurement reliability and validity were examined and hierarchical linear regression was used to test the hypotheses.

Results indicated that both explorative and exploitative capability are positively related to MNEs’ new product development and commercialization of Chinese MNEs; and CEO’s preference of risks and opportunities in international market plays a significant moderating role in the two phases of product innovation.

This study extends organizational ambidextrous capabilities theory to better understand the effects of explorative capability and exploitative capability on innovation performance in the context of internationalization and national cultural differences. Sample constitution is a possible limitation.

MNEs, especially those from emerging economies, should develop both explorative and exploitative capability to be flexible and competitive in dealing with cultural differences. fully take risks and opportunities should be taken into consideration regarding the international market and national cultural differences, and take an effective contingency strategy, driven by the ambidextrous capabilities toward new product innovation development and commercialization.

An empirical examination of how ambidextrous capabilities impact on Chinese MNEs’ new product development and commercialization connects the organizational ambidexterity theory to the innovation and characteristics of upper echelons.

To examine how shareholding affects optimal profits, R&D innovation, NEV market scale and social welfare in two supply chain models with partial and cross ownership patterns.

The gradual retreat of government subsidies has directly weakened the financial support available to the stakeholders of new energy vehicles (NEVs). In this context, upstream and downstream enterprises of NEV are constantly seeking new business models of cooperation to achieve possible win-wins. NEV supply chain shareholding is an emerging new practice for such explorations. However, its performance in the NEV supply chain is seldom investigated. In this paper, we employ a Stackelberg game model to investigate how partial and cross-ownership affect the optimal decisions in a NEV supply chain.

Results showed that: (1) Compared with the unilateral shareholding model, the battery supplier will benefit from cross-ownership in the supply chain, while the NEV manufacturer will not necessarily benefit from it. At the same time, cross-ownership will bring the greatest incentive for battery R&D (2) Supply chain downstream competition will not necessarily lead to the improvement of the total consumption of NEVs or the level of battery design. Pareto improvement can be brought only when one of the manufacturers holds less than a certain equity threshold. In addition, downstream competition will also not necessarily bring more benefits to the battery supplier.

At present, NEV supply chain management has attracted widespread attention from scholars from all walks of life. Previous studies have been carried out that covers topics such as pricing strategies and optimal profits and the role of NEV in the sustainable development of the automotive industry supply chain, or disparate impacts of government subsidies and carbon emission regulation on supply chain members. However, as far as the authors know, compared with the new emerging NEV corporate practice, the shareholding phenomenon between upstream and downstream in the supply chain of NEV has not been studied in the existing studies.

The purpose of this paper is to study the influence of the porous structure on the maximum stress and modulus of elasticity of the specimens which are fabricated by rapid prototypes. According to the experimental results, modify the theoretical formula of elastic modulus.

The Objet Eden 250 was used to prepare the Vero White photosensitive resin samples with different porosity (ranges from 25 to 65 per cent) and different pore structures. The mechanical properties of different samples were numerically simulated and the formulas of the modulus of elasticity were established. Through the compression test, the performance of the specimen is compared and analyzed, and the theoretical elastic modulus formula is optimized.

With the increase of porosity, the maximum stress of honeycomb structure specimens decreases. The maximum stress of the honeycomb structure specimen with circular pore shape is higher than the hexagon cross-section while the hexahedron and octahedron structure are the arms (wall thickness between pores) with a square cross-section. The error comparison between the modulus of elasticity before and after the structure models regression analysis shows that after the regression analysis, the error of theoretical value and the actual value is between 0 and 14 per cent which is lower than the value before the regression analysis which was between 5 and 27 per cent.

The paper obtains rules of the influence of different porous structures which were fabricated by the Vero White photosensitive resin material on mechanical properties and higher prediction accuracy formula of elastic modulus. The conclusions provide a theoretical basis for Northeastern University, China, to reduce mass and mechanical properties prediction of load-bearing parts.

Management is a “hot field” in China, yet little has been written in English about the history of management in China. Contrary to contemporary management literature, the paper aims to show that Chinese entrepreneurs and managers were exposed to modern management ideas from the early twentieth century. The paper is an initial exploration of the transfer of managerial knowledge to China, especially Scientific Management, during the interwar period.

Draws on Chinese journal articles and books from 1910‐1930s, supplemented with archive materials and secondary sources in Chinese and English.

Chinese industrialists, officials and academics were attracted to Taylor's ideas of scientific management during the 1920s and 1930s, which were experimented with on a wider scale than is commonly realized. The interest in “new” management extended beyond industrialists and industry officials to reportage in the popular press.

Future research should consider first how new ideas about management and organization were implemented on the shopfloor in individual Chinese enterprises, and second examine the role of social networks constituted by native place, industry ties and professional association membership in the diffusion of managerial ideas among the Chinese business elite of the period.

The paper shows that the transfer to China of modern management as an ideas system was not a recent phenomenon, but part of a century‐long process of transfer and adaptation of western management theory and practice.