1. Introduction
Enterprises are the main engines of innovation and economic development [
1], big data embedded with abundant knowledge empowers enterprises with huge potentials and sustainable corporate innovation resources [
2,
3]. With the rise and development of the knowledge economy [
4], the advent of the era of big data [
2,
3,
5] and extensive applications of new knowledge management technology, such as enterprise resource planning (ERP) [
6] and artificial intelligence [
7], the environments of business operations and advances have also undergone significant changes [
8,
9,
10]. Scholars have increasingly come to view knowledge as one of the most important resources necessary for competitive advantage and business sustainability, either for small and medium enterprises or mature enterprises [
11,
12,
13].
However, Barley, Treem and Kuhn [
11] pointed out in their recent review article that although knowledge management research in the past two decades has evolved from the shift toward the knowledge-based theory, one important step forward is to broaden our analytic scope to include a more dynamic vantage of managing knowledge in different organizational contexts. Especially for the startups, argued by Centobelli, Cerchione and Esposito [
13], how a knowledge management system facilitates the knowledge management and its outcomes are remained to be seen. Therefore, how an organization effectively develops technological, structural strategies and systems to exploit the precipitated internal and external knowledge to build dynamic capability is still a challenge for corporate innovation and sustainability-oriented performance [
3,
11,
13].
Here in this paper, we are trying to address this challenge by the focus on one key question, which is how to accelerate the process of knowledge creation, transformation, and implementation so that enterprises can form a sustainable innovation system, and finally build up sustainable competitive advantage [
9,
12]. We employ the case of the Commercial Aircraft Corporation of China (COMAC, Shanghai, China) in the civil aviation industry to explore the answers to this question.
The civil aviation industry is one of the most knowledge-, technology- and capital-intensive industries in the world. The aviation industry, which is called the pearl on the crown of manufacturing, has great capability to drive the development of companies upstream and downstream of the industry chain, creating a huge opportunity for new material application and the invention of new technologies. There are only a few countries in the world that can manufacture their own airplane, including the United States, France, Russia, Brazil, and China. As a crucial industry with a long history based on the military aviation development, the civil aviation industry has a large body of institutionalized, complicated, intangible, and discreet knowledge, which were mainly controlled by two leading companies: Boeing from US and Airbus from Europe.
COMAC was established in May 2008 in Shanghai, China. It aims to build an innovative organization to achieve domestic and international competitive advantage in the aviation industry and help reduce China’s dependence on established major foreign players, such as Boeing, and Airbus. Continuous R&D and innovation, COMAC resulted in the ARJ21 aircraft, which was first marketed in 2015. This was followed by the 168-seat C919—and its roll-out, and successful maiden flight, occurred in 2015 and 5 May 2017, respectively. The aircraft has generated interests from many airlines trying to compete in the market for single-aisle jets dominated by the Airbus A320 and Boeing 737. Not surprisingly, many policymakers and the public are interested in “the secret lessons” of COMAC’s breakthrough innovation that was achieved in such a short period of time. The importance of studying managerial experience, knowledge and the mechanism from knowledge management to core capability is greater in an industry in which learning the key technologies, best practices, and dominant designs are difficult. Therefore, the key to understand COMAC’s technological innovation is, how does it build sustainable core competence through knowledge management, and what lessons that other organizations can learn from it.
Drawing from the in-depth case analysis of COMAC, this paper focus on how enterprises build knowledge-based core competence through knowledge management. As a new practice of knowledge management, Double Screen Innovation (DSI), which entails the establishment of the second computer screen for knowledge creation, sharing and application within the organization, would generate a tremendous impact on the rapid development of learning mechanisms and the sustainability of the whole company.
This paper extensively explores the case of COMAC and proposes an interactive model of knowledge management that led to the company’s success. This study not only contributes to the literature of knowledge management and knowledge-based view, but also provide important insights for the organization to incorporate big data opportunity into knowledge management process so as to build sustainable competitive advantage and obtain premium economic rent [
14,
15]. More specifically, the main contribution of this study is an inductive process model that put forward a new concept called Double Screen Innovation (DSI). This paper will clearly explain the special activity and practice of knowledge management, and how the DSI works in the implementation of knowledge management, also how those differences relate to ways in which knowledge resources are acquired and how they are used in practice to create distinctive competencies. In the course of developing the interactive knowledge management model, several new concepts with theoretical implications emerged. In particular, we propose the notions of the double screen innovation, knowledge engineering, and the systematization, contextualization, and intelligentization of knowledge. What’s more, this study explains how organizations like COMAC build a new system of co-creating of knowledge within the organization, also puts up with the interactive model that explains how an organization accumulates and transfers the knowledge and then empowers individuals and teams at the micro-level. Thus, this study generates new insights into opening the “black box” between knowledge, knowledge management and innovation, so as provide a useful way to build sustainable core competence.
In the following sections, this paper first reviews the theoretical background and proposes the research question.
Section 3 introduces the research methodology.
Section 4 contains empirical analysis and main findings from COMAC’s DSI mode.
Section 5 discusses the research results, research limitations, and some propositions for future research.
Section 6 concludes the study.
Section 7 further discusses the implications.
2. Literature Review and Research Question
The goal of the firm is to use whatever resources that are available to achieve sustainable competitive advantage through technological innovation and management change [
3,
11,
13,
16]. Resources refer to all tangible and intangible assets possess by the enterprise that can be used to conceive of and implement strategies that improve its efficiency and effectiveness, such as assets, capabilities, organizational process, firm attributes, information and knowledge [
16,
17]. The resource-based view (RBV) predicts that as strategic resources are heterogeneously distributed across firms and these differences are stable over time, the firm who wants to build core competencies and achieve sustained competitive advantage must own resources that that are valuable, rare, imperfectly imitable and non-substitutable. More specifically, as Barney [
16] puts it, “a firm enjoys a competitive advantage when it is implementing a value-creating strategy not simultaneously implemented by large numbers of other firms”. So, a firm with a better organizational process that can exploit its assets would enjoy the advantage of core competence building and achieve a sustained competitive advantage.
While the resource-based view predicts strategic resources are crucial to corporate innovation and core competence, knowledge-based view (KBV) goes further and argues that the core element of resources should be knowledge, including tangible and intangible knowledge, as well as the way how firms should be organized for them to generate and exploit knowledge [
12,
18,
19]. Increased attention is being paid to the importance of big data, knowledge, and the role of knowledge has been gradually established as one of the key competitive resources and foundation of professional capability enhancement [
5,
9,
20]. Similar to the resource-based view [
21], the knowledge-based view also holds a foundation and hypothesis that knowledge is largely tacit and grounded in a unique historical, social, and cultural context. As such, it can be a source of sustained competitive advantage, because such knowledge is quite difficult for competitors to imitate and acquire freely in markets [
16].
Although the resource-based view and knowledge-based view have developed rich conceptual arguments rapidly in recent years, knowledge management (KM) scholars realize that it is still a big challenge for firms to integrate and transform data into useful innovation resources, and for them to create, acquire, and apply knowledge for sustainable firm innovation and performance [
5,
11]. Current literature of knowledge management has investigated a multiple of factors in knowledge management, including organization level [
22,
23], individual level [
24], and the impact that industry or environment relationships have on a firm’s knowledge management [
25].
These research findings provide both scholars and managers with novel perspectives on how, when and where to conduct knowledge management to achieve better product, technological and corporate performance [
11,
13,
26]. However, the current scholarship on knowledge management and KBV has privileged particular trajectories of knowledge over others, which needs a broaden and dynamic perspective to explore how could firms utilize knowledge management in the complex contexts and use knowledge management as a tool to drive organization change for sustainable innovation [
11,
22]. Especially in situations when firms are new players in the industry with complex products or projects [
27], such a firm needs to accumulate knowledge and enhance its learning mechanism system to shape the market [
3,
6,
18]. Innovation in knowledge-based organizations is particularly challenging owing to the ambiguous nature of knowledge itself, let alone the unstructured nature of big data [
18,
28]. Bhatt [
22] points out that knowledge management process can be categorized into knowledge creation, knowledge validation, knowledge presentation, knowledge distribution and knowledge applications activities, while only by creating a nurturing and “learning by doing” kind of environment could a firm sustain its competitive advantages.
Then, the crux of the matter is: How should managers utilize knowledge to create core competencies, especially in an industry with knowledge- and capital-intensive nature and only a few rivals predominating the industry? We set out to understand the mechanism of knowledge transferring into core capability, the capability-building framework of knowledge management, and the processes that top managers, medium executive officers, and employees on-site use to transform common knowledge into a professional capacity establishment that can create distinctive and core capabilities.
4. Analysis, Main Findings and Results
4.1. Overview
The second screen campaign, as a knowledge management project, is run by the Technical Center, Department of Science and Technology Management and manufacturing plant to promote the comprehensive capability of COMAC, aiming at building professional capability among staffs, actions taken include the establishment of an electronic library, the creation of a platform for knowledge applications, and the promotion of the intelligent services of knowledge. The second screen refers to employees adding a new computer screen for information gathering, data reference, and knowledge support for their normal work so as to improve employee performance, refine the company’s knowledge system, and create a learning organization. In doing so, this will lay the foundation for building the company’s core competencies and sustainable competitiveness. COMAC’s new type of knowledge management, namely DSI (double screen innovation), can be seen below in
Figure 1.
DSI is a knowledge management project with the establishment of the second working computer screen for individual employees, but not just to provide a second screen for employees. Its essence lies in the optimization and innovation of corporate knowledge management system, which helps to form an interactive model of co-creation and sharing of knowledge, as well as an improvement in the organizational learning process beneficial to core competence. At the micro-level, the DSI enables each employee to access the structural knowledge database of the entire company, thus can have more scientific and efficient solutions to the problems encountered in their daily work. What’s more, employees have a sense of participation and truly enjoy innovative performance enhancements through the knowledge system-building process. Based on this shared participation and co-creation at a micro level, the DSI is meant to optimize the corporate learning atmosphere and organizational learning mechanism. Knowledge accumulation and systematization are achieved by the questions and solutions upload by each knowledge workers through their second working computer screen. In turn, the knowledge engineers at the organizational level could help to standardize the modulation of knowledge, digitalize the knowledge base and provide a powerful structural tool to transfer knowledge and empower individuals to improve work efficiency and quality.
4.2. Phases of DSI
While
Figure 1 shows the interactive mechanism about the DSI’s impact on core competence, DSI is actually a complex process that consists of three main phases. Based on the interviews within COMAC, the double screen innovation mainly includes the three aspects, as shown in
Figure 2.
4.2.1. Knowledge Engineering—The Establishment of Electronic Libraries to Achieve the Systematization of Knowledge Building
The first step of double screen innovation is to achieve the knowledge repository of the knowledge that shows on the second screen, which entails the establishment of an electronic library of structured knowledge, and then using the knowledge and materials as fixed assets to “make hidden knowledge explicit and explicit knowledge systemized.” For example, COMAC spends plenty of resources on the preparation of the task and process manual, the preparation of historical knowledge, and tacit knowledge collections. At the same time, the knowledge management system should be established to match with other systems, such as the assessment and incentive system. Through the pilot projects carried out by some units, their useful experience was refined so as to better promote the implementation of standardization and systematization of knowledge, laying a solid foundation for the company’s follow-up knowledge applications, knowledge inheritance, and job training.
4.2.2. Problem-Oriented—To Serve Product Manufacturing and Achieve the Contextualization of the Knowledge Application
The collection of knowledge is for the application of knowledge. The systematization of knowledge is to better apply it to real-world situations and practical problems to achieve production goals. Based on the database of assets, the formation of a working platform combines the systematization of knowledge with work processes according to different circumstances. Doing so allows the working platform to standardize the modulation of knowledge, using the fragmented assets directly to improve work efficiency and quality. For example, in the case of the Shanghai Aircraft Manufacturing Company, after applying the double screen innovation program and platform, the average time needed for a design tool was shortened from the original 22 business days to 14 days, equating to a 36% increase in efficiency. At the same time, problem-oriented contextualization of the knowledge application is also beneficial to continue improving the knowledge management system so that problem-oriented knowledge processing and integration work could become the work norm.
4.2.3. Smart Enterprise—To Enhance the Core Competence of Enterprises and Achieve the Intelligentization of Knowledge Services
The term intelligence has been used by researchers in artificial intelligence since the 1950s, then business intelligence became a popular term in the business in the 1990s, while recently the terms business intelligence and analytics (BI&A) and big data analytics (BDA) rose to popularity in the management studies [
10,
35,
36]. The ultimate goal and vision of double screen innovation is to achieve the intelligent function of data and knowledge, such as intelligent decision-making mechanism and intelligent error correction method. As a kind of integration innovation, it is an intelligent usage of knowledge processing capacity. In the process of manufacturing, intelligent knowledge management systems help employees by providing a scientific operating program and reference system so as to empower them to make better scientific decisions during the implementation process. The implementation from the process to end will also be bolstered with automatic error correction function, with some good examples for reference at the same time. With the help of AI (artificial intelligence) and big data technology, intelligent knowledge systems today often possess self-learning functions, constantly optimize algorithms, evolution, and development to enhance their intelligence level.
4.3. Framework of the Findings
To elaborate the process of DSI more clearly, we try to discuss each of these elements of the three phases of the DSI from the raw materials of interviews and abstract the typical notes demonstrating the main ideas of the managers or the employees.
Table 1 shows data that led to the development of all the second-order themes and aggregate dimensions, providing a glance of how the mechanism works.
4.4. Small Case
To illustrate the process more vividly and tangible, the author will illustrate the subject matter through a small case of what might happen in the daily operations for the engineers at COMAC. In a typical day, when an engineer is asked about production issues or problems in the field, he or she would pose many questions and go directly to the site and investigate the real problem. Then, he or she might have ideas and some initial judgments before returning to the office and referring to various books and historical materials to carry out some in-depth research concerning the problem. This process is very typical, as the professionalism of an engineer requires strong corroboration for his or her judgments.
With the DSI after the second screen construction, the engineer could query about the problem in the system by entering some keywords, then he or she would receive a plethora of information, references, and some choices for dealing with the current problems before heading to the field. With strong guidance and several potential solutions to the problems in mind, he or she would gain inspiration and insights and be able to make a decisive decision. The problem is likely to be dealt with much more effectively and efficiently, compared to the traditional methods. After he solves the problem, he could upload his comments, feedbacks and insights from his practice through the second computer screen as a new source of knowledge for other peers. The platform in which the business intelligent analytics tool is embedded will further archive this kind of unorder data and classify his feedback, then updates the old solution for similar problems. In this way, the double screen knowledge platform empowers a dynamic closed-loop of mass creation, sharing and transferring of knowledge within the organization.
4.5. Model of DSI
We attempt to integrate all of the innovative factors and the resulting mechanism into a whole figure that can show the phases of DSI, its theoretical logic, and the linkage between the best practice in knowledge management and core competence-building at COMAC.
Based on the double screen innovation knowledge management model (see
Figure 3), internal and external knowledge is collected to meet the needs of core competence. Then, the standardized, structured, and systematic knowledge base is formed through the process of filtering and coding. As a problem-solving and application-oriented system, it realizes the contextualization and intelligentization of knowledge through the transfer from knowledge-based to sharing applications. The double screen innovation uses the SECI model, which consists of socialization, externalization, combination and internalization [
8] as its micro-foundation. This kind of circle of knowledge creation and transformation provides a steady and sustainable stream of power to drive corporate core competencies-building and enhancement.
5. Discussions
Organizational research traditionally attaches tremendous importance to a tangible economic asset whose values and attributes are assumed to be widely available and readily apparent to the people or firms being studied. Therefore, the author studied the mechanism of how knowledge has transformed into an important component of core competence.
The main outcome and contribution of this work is an inductive process model that puts forward a new concept of knowledge management named Double Screen Innovation (DSI). This paper clearly explains the special activity with a goal to improve the enterprise’s knowledge management. This study documents how the DSI works in the implementation of knowledge management, also explains how the knowledge is co-created, accumulated and disseminated in real practice to create distinctive competencies.
In the course of developing the interactive knowledge management model, several new concepts with theoretical implications emerged. In particular, we propose the notions of the double screen innovation, knowledge engineering, and the systematization, contextualization, and intelligentization of knowledge.
To conclude, this paper offers two potential contributions to existing knowledge management and innovation literature. By identifying relevant features of knowledge management and the impact of knowledge on core competence-building, these findings enrich the set of antecedents that can be investigated in the future to better explain the drivers of core competence. It also contributes to a recent line of research in which knowledge-based core competence is shown to be increasingly important. A key outcome of this study is demonstrating how managers perceive and understand the knowledge, and its sources are also associated with how they go about searching for and acquiring knowledge, by explicating the linkages between conceptions of the significance and sources of useful knowledge, and subsequent knowledge acquisition and use processes.
5.1. Research Limitations
One limitation is this study focus on interviewee accounts, in the form of interviews, as the main source of data. Wherever possible, however, we made it a point to engage interviewees in-situ. For instance, if an interviewee spoke about a manufacturing issue, we made concerted efforts to see the actual process in action or the solution implemented. We attempted to study knowledge management in action to the greatest extent possible—that is, by spending time observing real-life situations that managers have to deal with. A follow-up to this study would perhaps involve fewer key persons and spend a greater amount of time inside those departments, which would offer more effective and systematic observations of the micro-level actions and interactions undertaken by managers and other organization members as they handle situations in real time. As a corollary to this observation, it also would have been desirable to engage with the firm’s suppliers, competitors, and customers to get an exogenous view of the processes. Nevertheless, we limited the scope of this study to closely study the internal processes of the management and the company.
The focus on a single firm could also be seen as a limitation, but the single firm focus does allow for an in-depth understanding of the drivers of knowledge management and the process of the core competence-building, which would be difficult to accomplish in the study of another company.
For simplicity and clarity of exposition, however, we limited the description of the findings to unidirectional associations. Longitudinal studies might be better able to shed light on how knowledgeable practice can be recursively associated with changes in executive knowledge before gradually gaining consensus among members within the company. Studying the evolution of knowledge management and the relationship between it and core competence building over time could offer rich opportunities for a better understanding of how knowledge shapes the foundations of sustained competitive advantage.
5.2. Suggestions for Future Research
Looking into the future, the research on knowledge management at COMAC provides inspirations for both theory and practice. On the one hand, existing scholar research primarily emphasizes the theory and practice of competitive advantage in the open and digital era. For example, the classic saying goes that competitive advantage has a great deal to do with the right choice of industry and strategic positioning within that industry [
37]. Drucker [
38] predicted that it is crucial to pay significant attention to the importance of knowledge and that crafting competitive advantage has a lot to do with developing distinctive knowledge as a strategic resource, which has been recognized more broadly in the big data era of today [
3,
10,
12]. Barney [
17,
24] identified four characteristics to evaluate resources, value, rareness, cost of imitation, and non-substitutability. However, studies related to the resource-based view (RBV) usually treat these attributes as exogenous to the decision-making process of organizational leaders. The research on the origins of competitive advantage is beginning to indicate a deeper appreciation of managers as active, knowledgeable agents [
14,
39]. This study shows how knowledge becomes a resource that can transform internal and external data into common knowledge, and its application to uncommon uses and management decision-making process. It is important to research how organizational leaders can create new interactive and intelligent systems that empower teams and individuals to co-create and make the best of knowledge in their daily work—particularly because this aspect has not been fully researched yet. Findings from this study concerning both executive and engineering knowledge could expand future research on the origins of organizational resources and capabilities.
On the other hand, based on the company’s knowledge management experience, DSI helps the enhancement of the management capability and core product development, while propelling technological innovation as well. Given that core competence-building is the ultimate purpose of DSI—naturally, it would promote knowledge sharing and innovation. It is very important to construct a firm innovation system based on the core competence of knowledge management [
40]. Adherence to DSI will not only play a crucial role in promoting values for enhancing the core technology and breakthroughs of this industry and enriching the construction of the commercial aircraft discipline system, but also enlightens the big data management and knowledge management in any other industries, providing a promising future of corporate core-competence building and dynamic capability evolution.