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An increasing number of images are generated daily, and images are gradually becoming a search target. Content-based image retrieval (CBIR) is helpful for users to express their requirements using an image query. Nevertheless, determining whether the retrieval system can provide convenient operation and relevant retrieval results is challenging. A CBIR system based on deep learning features was proposed in this study to effectively search and navigate images in digital articles.

Convolutional neural networks (CNNs) were used as the feature extractors in the author's experiments. Using pretrained parameters, the training time and retrieval time were reduced. Different CNN features were extracted from the constructed image databases consisting of images taken from the National Palace Museum Journals Archive and were compared in the CBIR system.

DenseNet201 achieved the best performance, with a top-10 mAP of 89% and a query time of 0.14 s.

The CBIR homepage displayed image categories showing the content of the database and provided the default query images. After retrieval, the result showed the metadata of the retrieved images and links back to the original pages.

With the interface and retrieval demonstration, a novel image-based reading mode can be established via the CBIR and links to the original images and contextual descriptions.

The role of marketing as a business function is rapidly changing in China. Consequently, their views on marketing orientation – whether it is accepted, rejected, modified or reframed – have been seriously impacted. This paper aims to report on the results of a survey among Chinese small- and medium-sized enterprise (SME) managers and their perceptions of the market-orientation philosophy. In particular, emphasis was placed on three dimensions of market orientation: intelligence generation, intelligence dissemination and responsiveness. The effect of market orientation on business performance was also examined.

The authors collected data from 214 managers from SMEs. These businesses were located in the cities of Beijing, Shanghai and Shenzhen. The commonly used market orientation (MARKOR) measure was used to test the hypotheses.

Consistent with the extant literature, the findings provided empirical support for the three dimensions of market orientation among Chinese SME. The authors also found that a positive relationship existed between Chinese SME market orientation and firm performance.

This study provides major insights into the market orientation measurement and practices of SME in China. From a measurement perspective, the empirical support for MARKOR across a non-Western context is noteworthy. From a practitioner perspective, the implications relating to understanding Chinese SME and how these companies can best market their products and services to their respective markets are critical. Some of the limitations of our study relates to the sample size, convenience sampling and geographic concentration of the respondents.

This study addresses the gaps in the literature by exploring market orientation in non-large scale businesses as well as the adaptation of the concept in a non-Western cultural setting. The findings extend the conceptualization and application of market orientation to Chinese SME.