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The objective of this chapter is to interpret a supply chain as an ontological entity with being-in-the-world of spacetimemattering. A case study approach is adopted to reveal the strategies undertaken by one of China’s fastest growing Internet companies – Xiaomi Inc. – to create competitive advantage through its management of product design and supply chain integration. Utilizing publicly available data, we analyze the company with quantum storytelling and network analysis techniques. Our analysis concludes that Xiaomi’s success originates from two aspects. First, Xiaomi is a good storyteller, who makes stories appealing to customers by involving them into product design and branding. Second, Xiaomi’s parsimonious supply chain substantially improves its market responsiveness and reduces disruption risks; more importantly, it helps to offer products of great value to customers.

The purpose of this paper is to explore how an organization can combine different types of open innovations and what are the key factors that may influence the combination of different open innovations.

The basic methodology of this paper is the longitudinal inductive analysis within the conceptual framework of the open innovation proposed by Dahlander and Gann (2010). In this case study of Xiaomi Tech Inc., the open innovation combination is investigated through examining 25 new products created between August 2010 and December 2016 in terms of four general types: acquiring, sourcing, selling and revealing open innovation.

In practice, the combination of different types of open innovations can be realized. A firm may combine different open innovations at three levels: a single product level, a related product cluster level and a company level. In addition, different open innovations can be combined in diverse modes. The purpose of combining different types of open innovations is to overcome the disadvantages of each type and to exploit the advantages of all different types. Many factors may affect a firm’s option of how to combine open innovations. At different development stages, a firm may make and implement corresponding strategic direction based on its innovation capacity and internal resource. For a given strategy, the firm needs to create profits and manage intellectual property in the implementation of open innovations. These factors are interacted each other, rather than isolated.

The findings of this paper are helpful for better understanding how and why an organization can combine different types of open innovations. From a managerial point of view, an organization may combine different types of open innovations to leverage advantages and avoid disadvantages of each certain type of open innovation. An appropriate combination of different open innovations can effectively improve new product development.

This paper provides the strategic direction and coordination mechanism selection for the intelligent transformation of manufacturing enterprises.

A theoretical framework is developed through grounded theory and case analysis.

Collaboration value is the building block of the intelligent product ecosystem. The ecosystem is upgraded via a path of product coordination, platform coordination and network coordination.

This paper provides a framework for enterprises to build an intelligent product ecosystem.

The proposed intelligent product ecosystem framework is new to the literature and lays down a fruitful avenue for future research.

With the proliferation of ideas submitted by users in firm-built online user innovation communities, community managers are faced with the problem of user idea overload. The purpose of this paper is to explore the influencing factors on the idea adoption to identify high quality ideas, and then propose a method to quickly filter high value ideas.

The authors collected more than 110,000 data submitted by Xiaomi community users and analyzed the factors affecting idea adoption using a multinomial logistic regression model. In addition, the authors also used BP neural network to predict the idea adoption process.

The empirical results show that idea semantics, number of likes, number of comments, number of related posts, the existence of pictures and self-presentation have positive impact on idea adoption, while idea length and idea timeliness had negative impact on idea adoption. In addition, this paper calculates the idea evaluation value through the idea adoption process predicted by neural network and the mean value of idea term frequency inverse document frequency (TF-IDF).

This empirical study expands the theoretical perspective of idea adoption research by using dual-process theory and enriches the research methods in the field of idea adoption research through the multinomial logistic regression method. Based on our findings, firms can quickly identify valuable ideas and effectively alleviate the information overload problem of online user innovation communities.

How do entrepreneurs use simple rules to build their business models? Based on an inductive study of three Chinese Internet and technology firms, the authors find that business models emerge from simple rules that entrepreneurs learn from their experience. Simple rules also guide entrepreneurs to actualize and exploit opportunities in the marketplace, and they can help business models evolve through market feedback, especially in internationalization. This paper aims to delve into the black box of entrepreneurial decision-making and offer a better depiction of the business model development process in uncertain and fast-changing environments and thus provide guidance for future entrepreneurs.

Following the case method (Eisenhardt, 1989; Yin, 2003), the authors first present a thick description of characteristics of three companies and the dynamics of their business models. They then code these descriptions into first-order measures. Finally, they aggregate these measures into abstract constructs. They constantly compare the theoretical constructs and the emerging theory with the existing literature on business models.

The authors generate three key insights from the findings: business models emerge from simple rules learned from entrepreneurs’ experience, simple rules help entrepreneurs exploit and actualize opportunities in the marketplace and simple rules help businesses expand and evolve business models through market feedback, especially in internationalization.

This paper falls into the intersection of strategy and entrepreneurship – an emerging new field of strategic entrepreneurship – and is concerned with how businesses create and sustain a competitive advantage while simultaneously identifying and exploiting new opportunities. The authors bring people – the individual decision-makers for businesses – back in strategy research and depict a more realistic picture of the behavior of successful entrepreneurs and their business model development process.

This paper aims to identify the sources of innovation in the current business environment of China. With the set target of transforming China into an innovative society by 2020, the Chinese government has taken dramatic measures to foster the nation’s innovation capability. Whether this Chinese model of promoting innovation has been successful and can be sustainable are controversial issues which need to be analyzed from an academic perspective. In recent years, there have been successful cases of innovation driven by grassroots entrepreneurs, especially in the information and communications technology (ICT) industry. Therefore, it is time to analyze their success factors from the perspectives of both corporate strategy and government policy.

The methodology used in this research is a comparative case analysis, and several high-profile cases in China’s ICT industry have been selected for this comparative study. Information used in the analysis comes from publicly available sources such as business school case studies and industry and news media reports. The authors have been following the evolution of China’s ICT industry for more than a decade; insights from their prior research and knowledge gained through industry contacts are also used in the analysis.

Generally speaking, the types of innovation in China’s ICT industry can be categorized into a top-down or a bottom-up approach. For the top-down approach of innovation driven by the government, the authors analyzed the case of the Chinese government’s effort to build an industry value chain through fostering the Chinese indigenous third-generation mobile communications standard time division–synchronous code division multiple access. In comparison, the authors use several success cases, including the ecosystem built around the highly successful XiaoMi mobile phone and Tencent’s mobile portal WeChat, as it showcases of the bottom-up approach of innovation driven by grassroots entrepreneurship. The comparison of these two approaches suggests that massive government-sponsored projects are unlikely to generate genuine innovation in the highly competitive and dynamic ICT sector. The government’s role should be to foster entrepreneurship and to create a fair business environment.

This research uses the method of comparative case studies to identify the source of innovation in a highly dynamic and uncertain business environment. Findings of this study shed light on the government policy toward innovation in the ICT industry and on the business firms’ strategy on innovation.

Enterprises build online product community to expect users to contribute: opinion sharing (content contribution) and product consumption (product contribution). Previous literature rarely focused on both. The purpose of this paper is to explain user contribution mechanism by identifying content contribution and product contribution.

This research chose Xiaomi-hosted online product community (bbs.xiaomi.cn) and Huawei-hosted online product community (club.huawei.com) where users can freely share ideas and buy products at the same time. Data were crawled from 109,665 community users to construct dependent variable measurement, and 611 questionnaires were used to verify research hypotheses.

The results indicate that both cognitive needs and personal integration needs have a significant positive impact on browse behavior; social integration needs and hedonic needs have a significant positive impact on content contribution behavior. Browse behavior not only directly affects but also indirectly influences product contribution through content contribution behavior.

Findings of this research provide community managers with useful insights into the relationship between content contribution and product contribution.

This study explains the formation mechanism of user product contribution and reveals the relationship between user content contribution and product contribution in online product community. This paper provides a different way of theorizing user contributions by incorporating uses and gratifications theory into the “Motivation-Behavior-Result” framework.

Members’ sustained participation positively influences success of brand community. Although scholars have confirmed the effects of social capital on continuance intention in third-party hosted communities, little work has been done to explore these relationships in context of enterprise-sponsored brand communities, especially, the precursors of active members’ sustained participation in such context is still unclear. Besides, how to recognize active users with high precision and coverage remains an open question. Therefore, this paper aims to propose a novel method to identify active users effectively and investigate the antecedents of their continuance intention from perspective of social capital in enterprise-sponsored brand community.

This work established several social networks based on the information of Xiaomi smartphone forum users’ posts and feedbacks. Node centrality (out-degree) analysis was adopted to identify the users with high degree of active in these networks, and then behaviour analysis was performed to exclude the community managers from the group of active users. Finally, a research model was proposed based on the theory of social capital. It was tested by applying partial least squares technique, and the data were collected from a survey of members (n = 327) of Xiaomi forum.

The empirical results showed that the proposed method can recognize the active users effectively. Additionally, social tie, identification, trust and shared vision were proved to be significant predictors of active users’ continuance intention in the context of enterprise-sponsored brand community.

This paper contributes to the information system usage literature and provides opinions regarding how social capital influence active users’ sustained participation in enterprise-sponsored brand community. Besides, this work proposed a novel method to identify active users, which will be useful to assist enterprises to improve their community management.

The paper aims to examine whether (1) deviation of design (i.e. objective design newness) is distinct to consumers' perception of design newness (i.e. subjective design newness) and (2) subjective design newness rather than objective design newness evokes the emotion of interest and enhances product evaluation.

In total five sets of quasi-experiments were conducted on the natural manipulations of design newness. Specifically, the first four studies examine consumers' perception of design newness, feeling-of-interest and product evaluation toward old and new Apple's iOS (i.e., iPhone OS) icons when a new Apple's iOS is released. The fifth study generalized the findings to the new design of XiaoMi MiPhone.

Across five quasi-experimental studies, the authors found that (1) consumers do not necessarily perceive an objectively new design to be subjectively new; (2) subjective design newness, but not objective design newness, evokes interest and (3) interest, in turn, enhances product evaluation and behavioral intention toward an innovation.

The current finding extended the current literature on design newness by demonstrating that subjective (vs objective) design newness provides a more holistic account of consumers' interest and positive product evaluation toward the innovations.

The research showed that simply updating or altering the design of a product does not evoke consumers' perception of design newness and positive product evaluation. Instead, designer and managers must explore ways to evoke consumers' perception of novelty, complexity, unfamiliarity, atypicality and difference. Furthermore, the current finding demonstrated that subjective design newness can be used to evoke consumer interest and, therefore, result in positive purchase evaluation.

The current research is the first to examine (1) the difference between objective and subjective design newness, (2) the emotional response toward design newness and (3) the emotion of interest as a mediator that explain the strong relationship between design newness and positive product evaluation.