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Based on previous literature on big data analytics (BDA) and supply chain (SC) management, the purpose of this paper is to address the factors determining firms’ intention to adopt BDA in their daily operations. Specifically, this study classifies potential factors into four categories: technological, organizational, environmental factors, and SC characteristics.

Drawing on the innovation diffusion theory, a model consisted of direct technological and organizational factors as well as moderators was proposed. Subsequently, survey data was collected from 210 organizations. Then we used SPSS and SmartPLS to analyze the collected data.

The empirical results revealed that perceived benefits and top management support can significantly influence the adoption intention. And environmental factors, such as competitors’ adoption, government policy, and SC connectivity, can significantly moderate the direct relationships between driving factors and the adoption intention.

Given the fact that big data (BD) usage in logistics and SC management is still in the start-up stage, the interpretations toward BDA might vary from different perspectives, thus causing some ambiguity in understanding the meaning and potential BD has. In addition, we collected data through questionnaires completed by IT managers, whose viewpoint may not fully represent that of an organization.

This paper tests the organizational adoption intention of BDA and extends the literature streams of BD and SC management simultaneously.

This research helps top managers assess the benefits of BDA as well as how to adjust their business strategy along the changes of environment and SC maturity.

This paper contributes to the literature of organizational adoption intention of BDA and extends the literature streams of BD and SC management simultaneously.

The purpose of the study is to construct a relationship model between the consumer resistance to innovation (CRI) and innovation adoption, and the study selected the customer loyalty as the moderating variable.

Based on questionnaire survey and regression model analysis, the study analyses the psychological processes and formation mechanisms that they either resist or adopt innovation by exploring users' attitudes towards smartphone application updates.

The results showed that innovation resistance negatively affected innovation adoption, and consumers are more likely to adopt innovations simply under the influence of customer loyalty. In addition, the moderating effect of customer loyalty is different in that how the three dimensions of innovation resistance influence innovation adoption. From the perspective of affective response, when consumers become emotionally disgusted with innovative products, loyalty can hardly change their minds. When consumers' resistance to innovation comes more from cognitive evaluation or functioning, loyalty is more likely to change their resistance.

The paper tests mechanism between customer resist the new product and new product adoption and the moderate effect of customer loyalty.

The purpose of this paper is to discuss how the configurations of short life cycle, low quality, design and price, influence customer purchase intention in fast fashion and high technology industries in China.

The traditional thinking is that products with high quality and low price will win more customers. However, the authors can notice that high quality products usually have high cost. Therefore, it is necessary to do more research on how customers can accept low quality products. The authors take fast fashion products and smart phones as empirical studies, collecting data from customer’s online survey. Based on the methodology of fuzzy set qualitative comparative analysis, the authors analyse the relationship between the factors of short life cycle, low quality, design and price and influence customer purchase intention.

The authors find that price is the most important influencing factor. Low price is a strong competitive factor in the market. As to low quality products, low price can be achieved relatively more easily than with high quality products, resulting from relatively poorer raw material or configurations. Hence the connection between quality and price may give an idea to enterprises that customers will accept low quality products with low price. Moreover, according to the research, different generations are equally affected by the low price condition, regardless of customer gender and household income.

Because the study only focuses on fast fashion and smart phones industries, future work needs to replicate this study with individual data for different industries and with alternative methods to reinforce the confidence in the research. Meanwhile , this research studied mainly the customer perspective, it would be desirable to extend the study to the enterprise perspective and find out the difficulties that limit them in using low quality products to meet market needs. This may revel some cultural differences in purchase behavior among different countries and the discussed industries can be expanded to a larger area.

The study offers a number of managerial implications. With the rapid changes in people’s aesthetic sense and developing high-tech, it is more and more necessary for companies to think about how to win more customers and earn more profits. Low quality products have advantages as they will lower companies’ costs in many dimensions, improving the speed of supply. It helps firms to take low quality products into consideration and think whether they will influence different aspects of the company assistance firms to get a deeper understanding of customer psychology and make better decisions on their products.

The paper fills the gap in the research field by exploring how consumer behavior is affected by different conditions.

With specific big-data mining worked on 61,522 firm announcements, we discovered a diverse Employee Share Ownership Plan (ESOP) model in China, called “Core-Staff-Based ESOPs.” Distinct from standard broad-based or executive-based ESOPs, these specific targeted-broad-based ESOPs require the qualification for participants, involving the participation of senior executives, directors at the middle level and any other employees that make particular contributions to firms. We take on the challenge to analyze ESOP mechanism, firm characteristics and performance in the view of organizational ecology and resource-based choice-making, and explore which factors have influenced the ESOP development in China.

We utilize a combination of approaches including qualitative and quantitative methods, and construct the main database of 117,767 firm-quarter data.

Firstly, based upon our institutional research, we find no coercive mechanisms that force all the Chinese listed firms to implement ESOPs since 2005. Secondly, our binary logistic regressions identify ESOP firms’ specific properties significantly distinct from non-ESOP firms, and draw profiles for these ESOP firms. Thirdly, our panel regression test results sustain the rational of ESOP mechanism, demonstrating that ESOPs enable Chinese firms to improve performance both in profits and their industry positions. Finally, with further quantitative tests, we find out this ESOP design’s limitations and the heterogenous effects due to China’s environments.

The discovery of Core-staff-based ESOPs contributes a diversity to the standard framework of ESOPs, enhances our understanding of China’s ESOP development, and provides new evidence for ESOP performance.

China represents around 20% of the world's population, and her economy is still performing well under economic crisis. Historical events have shaped different parts of China with different economic developments and cultural encounters. The most prominent difference is between Hong Kong and the Mainland. This chapter would like to examine the development and issues of fashion retailing in China. For better understanding, this chapter starts with a brief discussion on apparel industry development and fashion culture in Hong Kong and the Mainland, follows by historical development and then presents systems of fashion retailing in both Hong Kong and the Mainland. Desktop research and exploratory research techniques were employed. Stores of international fashion luxury brands in Hong Kong, Shanghai and Beijing were visited. Comparison of branding issues, particularly for luxury market in Hong Kong and the Mainland are discussed, so are future directions of fashion retailing in these places.

The purpose of this paper is to examine the effects of internal corporate governance mechanisms on the capital structure decisions of Chinese-listed firms.

Using a large and more recent data set consisting of 2,386 Chinese-listed firms over the period from 1998 to 2012, the authors use different statistical methods (OLS, fixed effects and system GMM) to analyse the effects of firm-specific and corporate governance influences on capital structure.

The authors find that the proportion of independent directors and ownership concentration exert significant influence on the level of Chinese long-term debt ratios after controlling for firm-specific determinants and split share reforms. Further analysis separating the sample of this paper into state-owned enterprises (SOEs) and privately owned enterprises (POEs) suggests that ownership concentration in the hands of the state leads to decrease in debt ratios.

The finding implies that concentrated ownership in the hands of the state appears more efficient compared to their private counterparts in their monitoring role.

This paper extends prior literature, which has concentrated disproportionately on firm-specific influences on capital structure, to the effects of within-firm governance mechanisms on capital structure decisions. The paper contributes to the agency theory–capital structure discourse in an emerging country context where corporate governance system appears weak.