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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.

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 study aims to examine the effect of self-construal on solo dining intentions and its underlying mechanism through consumer emotions. Furthermore, the study also investigates the moderating effect of the composition of other diners on the relationship between self-construal and solo dining intentions.

A 2 (self-construal: independent vs interdependent) × 2 (other diners: solo diners vs social diners) between-subjects experimental design was adopted to test the hypotheses. The data were collected from 317 Chinese consumers, followed by an analysis using IBM SPSS 23.0 and AMOS 23.0.

The findings indicate that consumers with an independent self-construal are more likely to have the intention to dine alone at a restaurant. Nevertheless, this effect is contingent upon the composition of other diners. The effect is significant only when nearby diners are social diners, and perceived enjoyment partly mediates the relationship. Conversely, when nearby diners are also solo diners, consumers' self-construals do not significantly affect their solo dining intentions. Moreover, the results indicate that consumers generally experience low levels of perceived stress when dining alone.

This study incorporates individual personality traits into research on solo diners and highlights the crucial role of positive emotions in solo dining, which provides insights for relevant enterprises to develop effective marketing strategies.