Dynamic Capability and Open-Source Strategy in the Age of Digital Transformation

Today, Industry 4.0 technologies, such as Big Data analytics and mobile technologies, are forcing firms to seek new ways to create and deliver customer value. We argue that the Android project, one of the most successful open-source digital platforms, reflects a new business model in the age of digital transformation. In the Android community, application developers create and sell applications for the Android operating system provided by the open-source firm (Google), and share the profit with Google. Such an open-source strategy forces the open-source firm to give up the profits from selling the operating system to customers. A firm generally chooses an open-source strategy to increase its user network size. Using the concept of creative intensity, or the speed of idea generation, we offer a new explanation regarding the benefits of an open-source strategy in the age of digital transformation. We investigate how to enhance creative intensity and profit on the open-source digital platform. Our model suggests that an open-source strategy effectively manages the diminishing value of ideas and, thus, facilitates the dynamic capability of an open-source firm.


Introduction
"You want to be innovating so fast that you invalidate your prior patents, in terms of what really matters. It's the velocity of innovation that matters." Elon Musk, CEO of Tesla Inc., Palo Alto, CA, USA.
In 2014, Tesla CEO Elon Musk announced that Tesla would allow other companies to use its patents associated with electric vehicles [1]. This strategy of disclosing an idea to other organizations and making it nonproprietary is called an open-source strategy [2]. An open-source strategy has been gaining traction as a viable strategy even among for-profit organizations in both practice and academia [3][4][5][6][7]. Today, according to Boston Consulting Group, "developing and deploying open-source software is no longer just a novel idea. It's a strategic necessity in a fast-changing digital world" [3]. For Tesla, an open-source strategy may help the electric vehicle market grow significantly, induce suppliers' investments due to their enhanced confidence, and enable Tesla to lower the costs of its core components such as batteries [6,8]. Furthermore, making the charging technology freely available to other companies may enable Tesla to build the infrastructure for electric vehicles (e.g., charging stations) together with other companies and to achieve a standard for its charging technology [1].
In contrast to an open-source strategy, many firms utilize a closed-source strategy, and vigorously protect their intellectual property. For instance, Monsanto patents the technology associated with its genetically modified seeds. In order to protect these patents, Through these objectives, we seek to contribute to the literature on the speed of innovation [23][24][25] and the literature on open-source innovation, in which innovation takes place outside of a firm (i.e., Android open-source community) [26]. In particular, we make the following contributions. First, we bridge between literature on open-source innovation and literature on dynamic capability. In doing so, we study how an open-source firm orchestrates the system of idea generation without relying on its own resources, and discuss theoretical implications of an open-source digital platform. Second, our research is the first to apply the concept of creative intensity to offer a new explanation regarding the benefits of open-source strategy in the age of digital transformation. Third, our findings illustrate how the open-source firm responds to environmental changes in relation to the dynamic capability.

Open-Source Strategy
An open-source strategy, one type of open innovation, is gaining traction as a viable strategy for organizations [3][4][5][6][7]15]. A firm utilizes an open-source strategy not only to earn profits by selling applications, accessories, and support services for the users of opensource products but also to enhance suppliers' confidence to invest in the market (e.g., [6,27,28]). This open-source movement is part of a trend of creating value through collective firms and individuals rather than through a single firm [13]. An open-source strategy is effective for information goods with network externalities (e.g., operating systems) [14]. The diffusion of products with network externality depends on the sizes of the user network, the complements network, and the producer network [13,29]. A firm makes these complementary goods available and facilitates the activities of users and producers on a digital platform [30]. A digital platform typically provides "an essential function to a technological system" and "acts as a foundation upon which other firms can develop complementary products, technologies or services" [31].  [26]. In particular, we make the following contributions. First, we bridge between literature on open-source innovation and literature on dynamic capability. In doing so, we study how an open-source firm orchestrates the system of idea generation without relying on its own resources, and discuss theoretical implications of an open-source digital platform. Second, our research is the first to apply the concept of creative intensity to offer a new explanation regarding the benefits of open-source strategy in the age of digital transformation. Third, our findings illustrate how the open-source firm responds to environmental changes in relation to the dynamic capability.

Open-Source Strategy
An open-source strategy, one type of open innovation, is gaining traction as a viable strategy for organizations [3][4][5][6][7]15]. A firm utilizes an open-source strategy not only to earn profits by selling applications, accessories, and support services for the users of open-source products but also to enhance suppliers' confidence to invest in the market (e.g., [6,27,28]). This open-source movement is part of a trend of creating value through collective firms and individuals rather than through a single firm [13]. An open-source strategy is effective for information goods with network externalities (e.g., operating systems) [14]. The diffusion of products with network externality depends on the sizes of the user network, the complements network, and the producer network [13,29]. A firm makes these complementary goods available and facilitates the activities of users and producers on a digital platform [30]. A digital platform typically provides "an essential function to a technological system" and "acts as a foundation upon which other firms can develop complementary products, technologies or services" [31].
In particular, on an open-source digital platform, a firm discloses an idea with customer value to other organizations to make it nonproprietary [2]. Drawing on other research [21,32,33], we distinguish the open-source digital platform from the transactionoriented digital platform that streamlines supply and demand as a marketplace for a retail business (e.g., Amazon, Alibaba) and as a marketplace for shared economy (e.g., Uber, Airbnb). On an open-source digital platform, an attractive idea (e.g., Google's Android operating system) may motivate other organizations (e.g., application developers) to join the open-source community and generate ideas (e.g., applications for the Android operating system) [13]. Application developers contribute to the open-source community by developing applications and expanding the complements network [13].
For the successful open-source digital platform, the open-source firm may need to appropriately coordinate all the participants in the community, including application developers. In particular, the open-source firm has less control over various activities within the open-source community. Thus, the open-source firm must manage its project judiciously to reduce any opportunistic behavior from community members [34,35]. Despite the potential opportunistic behavior, through developing inter-organizational relationships, the open-source firm may be better able to access the resources of other organizations and create value jointly with them [13,36]. Thus, an open-source strategy may enable the open-source firm to focus on core activities that it can perform better than its competitors while allowing other organizations to take care of necessary, but noncore activities [37].
Utilizing the resources of other organizations, an open-source strategy enables a firm to accelerate its generation of ideas, such as applications [12,27]. In contrast, a closedsource strategy may enable a firm to maximize its value capture through maintaining the proprietary rights for the product [27]. Closed-source firms could generate profits through selling the platform to end users (one-sided platform strategy) [12]. Typically, an open-source digital platform enjoys a greater variety of applications than a closed-source platform [12]. In our paper, we are primarily interested in how a firm utilizes the primary idea on an open-source digital platform to attract the resources of application developers that develop and sell the secondary ideas instead of selling the primary idea to end users (Please see Figure 1).

Idea Generation and Dynamic Capability
Research suggests that not all firms could benefit from open innovation (e.g., [38,39]). In particular, Milan et al. (2020) point out the benefits of integrating the theories of the firm (e.g., the resource-based view) in discussing impacts of the speed of innovation on open innovation [24]. Consistent with this perspective, open innovation requires particular resources and capabilities for firms to benefit and gain a competitive advantage (e.g., [15,38,39]). One such capability is dynamic capability, explained as a firm's capability to respond to the environmental changes in a market by sensing those changes, reconfiguring the resources, and creating value to customers [40][41][42]. The dynamic capability facilitates a firm's competitiveness in a market, including speed of innovation [40,[43][44][45]. Today, digital transformation is further accelerating the speed of innovation through Industry 4.0 technologies such as Big Data analytics and artificial intelligence (e.g., [46]). Among various stages of innovation, idea generation-a starting point of the innovation process-is a crucial gateway for a successful innovation [47]. In particular, Industry 4.0 technologies, such as Big Data, are believed to accelerate the speed of idea generation, or creative intensity [23,48,49]. Drawing on the resource-based view, creative intensity is determined by both human capital resources (e.g., creativity of employees who generate innovative product ideas) and organizational capital resources (e.g., organizational culture, such as the willingness to employ risky but innovative product ideas) [49]. In this paper, we examine the speed of idea generation, or creative intensity in the Android open-source community (i.e., the number of applications developed per a certain time period). Accelerating the speed of innovation, including idea generation, is essential for firms to maintain competitiveness, particularly in a market with high uncertainty and rapid technological changes [47,50].
To accelerate the speed of innovation in high-velocity markets, a firm cannot rely solely on its own resources. To access resources of other organizations, firms are seeking the sources of idea generation outside their organizations and creating mutually dependent relationships with other organizations [51]. With an open-source strategy, a firm discloses an idea to other organizations to make it nonproprietary [2]. Then, an attractive idea (e.g., Google's Android operating system) may motivate other firms and individuals (e.g., application developers) to join the open-source project, generate ideas (e.g., applications for the Android operating system), and co-create value [13]. Such open innovation effectively enhances a firm's capability and maintains its competitive advantage in today's fastchanging markets [40]. As the value of an idea becomes obsolete fairly quickly, a firm's continued profit from a single idea is limited and unsustainable. Thus, a firm may not benefit much from protecting its idea and enhancing the value capture with a closed-source strategy [12,27]. In such a market environment, the open-source strategy may better enable a firm to facilitate its capability of idea generation and grow its business as the value of the new idea diminishes quickly.
Idea generation has been studied in various contexts, including the process of cocreating advertising ideas with consumers, organizational cultures that enhance idea generation, optimal idea-exchange processes among group members, methods to stimulate product ideation, and idea quantities in new product development processes [52][53][54][55][56][57][58][59]. Generating a large number of ideas is considered critical in the new product development process [52,53]. Researchers have investigated how to enhance the number of ideas generated through various methods, such as brainstorming [60]. Furthermore, divergent thinking is considered a critical component of creativity within an organization and is believed to enhance the variety of ideas generated from given information [61]. More recently, Tauqeer & Bang (2020) discuss the benefits of incorporating technology trends (e.g., Big Data, artificial intelligence, and 3D printing) during the product ideation process (e.g., how these technology trends affect existing or new product ideas) [58].

Dynamic Capability in Relation to the Value of the Primary Idea
In this section, we develop a model to analyze how a firm can enhance creative intensity and earn profits with an open-source strategy while the value of ideas diminishes. This capability of a firm to cope with the obsolescence of ideas reflects the dynamic capability (e.g., [40]). Thus, in this paper, we conceptualize dynamic capability as a firm's flexibility to adapt to the obsolescence of ideas in high-velocity markets and to enhance its profits in a market. (We will not consider such factors as the costs associated with developing the primary idea and profit discounts in our model as these factors do not affect our discussion on the creative intensity and profit of an open-source firm.) With an open-source strategy, a firm allows application developers to access the primary idea at no cost, and to develop and sell applications for the open-source digital platform. In return, the application developers share a certain percentage of their profit with the open-source firm [62].
Let V(t) denote the value of the primary idea in the open-source strategy at time t. Consistent with Frels et al. (2003) [13], the initial value of ideas is associated with the utility of the stand-alone product derived from its technological features, independent of the added value associated with the sizes of the user, complements, and producer networks. We assume that the value of the primary idea depreciates over time [63,64]. It can be described by the following differential equation [11,29] The constant V 0 represents the initial value of the primary idea, and it is assumed to be positive. We assume that the value of the primary idea depreciates at a rate of r > 0 The depreciation rate may vary with many factors; if the primary idea involves sophisticated technology, its value depreciates relatively quickly [29].

Profit-Sharing in the Open-Source Community
With an open-source strategy, the open-source firm employs a profit-sharing mechanism and receives a portion of the profits that application developers earn from selling the applications to the platform users. Let 0 ≤ θ ≤ 1 denote the profit-share percentage of the open-source firm (1 − θ is the profit-share percentage of application developers). If θ = 1, the open-source firm takes all the profits from the application developers, while if θ = 0, the open-source firm takes no profits from the application developers. To motivate more application developers to join the platform, the open-source firm may lower its profit-share percentage (θ) and let developers keep a higher portion of the profits [65].
Let N(t) denote the number of application developers in the open-source community at time t. We assume that, initially, there are no application developers in the community. Application developers continue to join the community over time. Their decision whether to join the open-source community may depend on the profit-share percentage and the value of the primary idea [65][66][67]. Then, the number of application developers is described by The constant K > 0 denotes the number of new application developers that join the community if θ = 0 and V(t) ≡ V 0 . The constant s > 0 denotes the average percentage of application developers that leave from the community during each time period.
Here, we assume that s r. The constant x > 0 reflects the relative importance of the profit-share percentage and the value of the primary idea to an application developer in deciding whether to join the open-source community. When x > 1 (x < 1), the profit-share percentage is more (less) important than the value of the primary idea in the application developer's decision.
Initially, the number of new application developers joining the community is represented by K(1 − θ) x . However, as the value of the primary idea depreciates over time (equivalently, V(t)/V 0 decreases), fewer and fewer new developers join the platform. At a certain time, the value of the primary idea becomes so low for the developers that the number of developers leaving the community exceeds the number of those joining it. If the value of the primary idea continues to depreciate, the number of developers may eventually become zero . In practice, the open-source firm would likely update the primary idea well before all application developers leave the community.

Secondary Ideas and Creative Intensity
Let I(t) denote the creative intensity at time t, and M(t) denote the number of applications on the platform at time t. Creative intensity is operationalized as the number of secondary ideas an open-source community can generate per a certain period. In our model, we will not consider the differences in each application developer's resources. Then we have The constant l > 0 represents the average number of applications by each developer in each time period. Initially, since no developer is in the community, no applications are available for the platform. The creative intensity is proportional to the number of application developers in the community, while the total number of applications grows as long as developers are available in the community.
Similar to the depreciating value of the platform, we assume that the value of applications depreciates over time. Let U(t) denote the total value of the M(t) applications at time t. Following a similar argument to the value of the primary idea [11,29], we obtain Initially, no applications are available and, thus, the overall value of applications is zero. The constant u 0 > 0 represents the average initial value of each application, and 0 < δ denotes the depreciation rate of the total value of all applications. Without loss of generality, we assume that δ = r. New applications developed over time increase the total value of the applications. In contrast, the diminishing value of existing applications decreases the total value of the applications. Overall, when the additional value derived from new applications is more (less) than the depreciated value at a certain time, the total value of applications increases (decreases).

Profits of an Open-Source Firm
Let p denote the average price of an application. D(t) denotes the demand for applications at time t, depending on both the price and the value of applications. The demand of applications at time t can be given by Here, g(p) describes the dependence of the demand of applications on their average price, and it satisfies g (p) ≤ 0 . Consequently, the profit of the open-source firm at time t is given by The

The Effect of an Open-Source Strategy on Creative Intensity
With an open-source strategy, the firm discloses a newly developed idea to other organizations instead of protecting the idea. Disclosing the primary idea enables the open-source firm to attract other organizations (e.g., application developers) to join the community [68,69]. Utilizing those resources, the open-source firm can facilitate the generation of secondary ideas (e.g., applications) over time (please see Figure 2). Although the open-source firm potentially enjoys the availability of a substantial amount of resources, an open-source strategy experiences the negative effects of the primary idea's diminishing value. As the value of the primary idea diminishes, the number of application developers in the community may decline over time. Thus, as the value of the primary idea diminishes more quickly, the number of applications available on the platform eventually stabilizes.
Next, we analyze how the diminishing value of the primary idea affects the creative intensity of an open-source community. The change rate of creative intensity with respect to the value of the primary idea is Let t c = ln(r/s) r−s denote a critical time satisfying se −st c − re −rt c = 0. For time t ≤ t c , there is ∂I/∂V < 0 as s r. Notice that the value of the primary idea monotonically decreases over time t ≥ 0. This suggests that the creative intensity keeps increasing for t ∈ (0, t c ), although the value of the primary idea decreases. As further illustrated in Figure 3, even as the value of the primary idea diminishes, an open-source community experiences an upward trend of creative intensity. Since the open-source firm uses the primary idea to enhance the resources available within the community by enticing application developers, the diminishing value of the primary idea does not necessarily hurt the capability to generate secondary ideas. On the contrary, despite the diminishing value of the primary idea, creative intensity continues to increase. Even as the number of application developers starts to decrease, the remaining application developers continue to develop new applications for the platform and contribute to enhanced creative intensity. , there is < 0 ⁄ as ≪ . Notice that the value of the primary idea monotonically decreases over time ≥ 0. This suggests that the creative intensity keeps increasing for ∈ (0, ), although the value of the primary idea decreases. As further illustrated in Figure 3, even as the value of the primary idea diminishes, an open-source community experiences an upward trend of creative intensity. Since the open-source firm uses the primary idea to enhance the resources available within the community by enticing application developers, the diminishing value of the primary idea does not necessarily hurt the capability to generate secondary ideas. On the contrary, despite the diminishing value of the primary idea, creative intensity continues to increase. Even as the number of application developers starts to decrease, the remaining application developers continue to develop new applications for the platform and contribute to enhanced creative intensity.  Next, we analyze how the diminishing value of the primary idea affects the intensity of an open-source community. The change rate of creative intensity with to the value of the primary idea is Notice that the value of the primary idea mono decreases over time ≥ 0. This suggests that the creative intensity keeps increasin (0, ), although the value of the primary idea decreases. As further illustrated in even as the value of the primary idea diminishes, an open-source community exp an upward trend of creative intensity. Since the open-source firm uses the prim to enhance the resources available within the community by enticing applicatio opers, the diminishing value of the primary idea does not necessarily hurt the c to generate secondary ideas. On the contrary, despite the diminishing value of the idea, creative intensity continues to increase. Even as the number of application ers starts to decrease, the remaining application developers continue to develop plications for the platform and contribute to enhanced creative intensity.  The creative intensity at any time t is given by Then the change rate of creative intensity with respect to the profit-share percentage is That is, decreasing the profit-share percentage θ would always lead to an increase in the creative intensity. Thus, to enhance creative intensity further, the open-source firm can lower its profit-share percentage to motivate more application developers to join the platform. This strategy enables the open-source firm to enhance creative intensity despite the diminishing value of the primary idea. As illustrated in Figure 3, the open-source firm can better facilitate the creative intensity by lowering its profit-share percentage. Thus,

Proposition 1a:
An open-source firm is able to increase the creative intensity even as the value of the primary idea continues to diminish.

Proposition 1b:
The lower the profit-share percentage, the better an open-source firm is able to facilitate its creative intensity despite the diminishing value of the primary idea.

Open-Source Strategy and Profits
As discussed in Proposition 1b, an open-source firm may lower its profit-share percentage θ to attract more application developers and enhance the creative intensity. However, this strategy does not necessarily enhance the profit π of an open-source firm. The profit of an open-source firm depends on the profit-share percentage both directly and indirectly, and only the indirect dependence is through the creative intensity. From the profit of an open-source firm, it is easy to calculate where the total value of the secondary ideas U(t) is given by It is clear that ∂π/∂θ < 0 only if θ > 1/(1 + x). This implies that lowering the profit-share percentage θ would increase the profit π only when θ > 1/(1 + x). As illustrated in Figure 4a, by lowering the profit-share percentage, an open-source firm is able to enhance its creative intensity; the lower the profit-share percentage, the higher the peak of creative intensity (from point A to B, C, and D). In contrast, as illustrated in Figure 4b, the open-source firm can grow its profit to only a certain point through lowering the profit-share percentage (e.g., from 40% to 30%, point A to point B). In this particular case, the open-source firm starts experiencing profit decline after lowering the profit-share percentage from 30% to 20% (point B to point C). This profit decline continues when lowering the profit-share percentage from 20% to 10% ( Denote time * as the time satisfying 1 − ( ) * = ( − ) * , that is, the time when = 0. ⁄ It is clear that * > 0, and > 0 ⁄ for any time < * . This implies that the profit of an open-source firm would continuously increase until time * . However, as the value of the primary idea diminishes more quickly, profits stop growing at an earlier stage. The larger the diminishing rate , the shorter the time * .
Thus, we obtain * < 0 ⁄ , implying that the larger the depreciation rate , the earlier the profit of an open-source firm stops growing. As illustrated in Figure 5, the profit stops growing earlier when r = 2% than when r = 1.5% for instance. This means that lowering the primary idea's value-diminishing rate may enable the firm to grow its profit for a longer period and to extend the life cycle of the open-source digital platform.
Denote time t * as the time satisfying s 1 − e (r−s)t * = r(s − r)t * that is, the time when dπ/dt = 0. It is clear that t * > 0 and dπ/dt > 0 for any time t < t * . This implies that the profit of an open-source firm would continuously increase until time t * . However, as the value of the primary idea diminishes more quickly, profits stop growing at an earlier stage. The larger the diminishing rate r, the shorter the time t * .
As discussed above, the time t * satisfies There is h(0) = h(t * ) = 0. We can obtain that t * > ln 2r−s s /(r − s), since s r and h(t) > 0 for time t ∈ (0, t * ). From h(t * ), we obtain Since t * > ln 2r−s s /(r − s), there is se (r−s)t * − 2r + s > 0 and r − se (r−s)t * < 0. Thus, we obtain dt * /dr < 0, implying that the larger the depreciation rate r, the earlier the profit of an open-source firm stops growing. As illustrated in Figure 5, the profit stops growing earlier when r = 2% than when r = 1.5% for instance. This means that lowering the primary idea's value-diminishing rate may enable the firm to grow its profit for a longer period and to extend the life cycle of the open-source digital platform.

Proposition 3:
An open-source strategy enables a firm to grow its profit initially until time * that satisfies 1 − ( ) * = ( − ) * . Additionally, the lower the diminishing rate of the primary idea, the longer an open-source firm is able to grow its profit.

Proposition 3:
An open-source strategy enables a firm to grow its profit initially until time t * that satisfies s 1 − e (r−s)t * = r(s − r)t * . Additionally, the lower the diminishing rate of the primary idea, the longer an open-source firm is able to grow its profit. Figure 6 illustrates the profits of the open-source firm in relation to the relative value of the primary idea. The relative value of the primary idea reflects the value of the primary idea in relation to its initial value. The change rate of the profit with respect to the relative value of primary ideal is calculated as

Dynamic Capability
The previous discussion shows that if time t < t * , the rate dπ/dt > 0 and, thus, ∂π/∂V < 0 . That is, the profit of the open-source firm increases when t ∈ (0, t * ), even though the value of the primary idea diminishes. Certainly, the lower the value-diminishing rate, the faster the profit of the open-source firm grows in relation to the relative value of the primary idea (see Figure 6). Once the diminished value of existing applications surpasses the added value created by the new applications, the total value of the applications starts to decline, leading to a decline in profit. Overall, with the open-source strategy, even as the relative value of the primary idea diminishes, the firm can continue to generate secondary ideas and grow its profit through utilizing resources from application developers. We argue that this illustrates the dynamic capability of an open-source firm, or the firm's capability to reconfigure its resources in adapting to the changes in the external environment (e. g., the obsolescence of the primary idea due to rapid technological advancements). Thus,

Proposition 4:
An open-source strategy enables a firm to grow its profit until t * even as the value of the primary idea diminishes. This trend illustrates the dynamic capability of an open-source firm. Figure 6 illustrates the profits of the open-source firm in relation to the relative value of the primary idea. The relative value of the primary idea reflects the value of the primary idea in relation to its initial value. The change rate of the profit with respect to the relative value of primary ideal is calculated as

General Discussion
First, our study illustrates the capability of an open-source firm to orchestrate the platform of idea generation as a governing organization of the Android open-source community in the age of digital transformation. In particular, our study sheds lights on the growth strategy of open-source digital platforms [18]. Today, as a result of digital transformation (e.g., [70]), the sources of competitive advantage shift from innovative ideas to the capability to orchestrate these innovative ideas in a meaningful way for customers to solve their problems [15]. We argue that the Android open-source community, a new business model, provides a new way for companies to create, capture, and deliver value to customers. Our study shows that during this digital transformation, dynamic capability in particular [71], or resources in general [38], must be studied not as a single organization but as a community or a digital platform that involves multiple organizations and individuals.
Second, this is the first paper to apply the concept of creative intensity to explain the benefits of an open-source strategy on dynamic capability in the context of digital transformation. Using this concept, we offer a new explanation regarding the benefits of an open-source strategy. Our analysis could guide researchers and practitioners on the dynamics of an open-source strategy in a hypercompetitive business environment. In the age of digital transformation, the value of creative ideas and products can diminish relatively quickly after market introduction as competitors react quickly and introduce similar or better products [1,15,46]. In order to adapt to these changes in the external environment, a firm needs to update and reconfigure its resources and enhance its dynamic capability [15,45,72]. Our analysis illustrates the dynamic capability of an open-source firm in adapting to market changes [70]. As illustrated in Figures 3 and 6, an open-source strategy enables an open-source firm to enhance its creative intensity and its profit even as the value of the primary idea diminishes. Thus, an open-source strategy is relatively susceptible to environmental changes (e.g., the diminishing value of ideas due to technological advancement).
Third, an open-source strategy requires the firm to grow its complements network in order to start earning profits from the open-source community [14,39,73]. Thus, the firm must first expend time and effort to attract application developers to grow the complements network. Thus, for a firm to generate profits quickly at an earlier stage, an open-source strategy may not be an attractive strategy. For this reason, an open-source strategy may not be suitable for a firm with fast-moving products and with relatively short product life cycles. For instance, by vertically integrating its value chain from manufacturing to retailing using a closed-source strategy, Inditex, the parent company of the fast-fashion chain Zara, introduces a greater variety of new products than its competitors [74]. The firm usually produces each new product with a limited volume. In an industry with fast-moving products, it is critical to maximize profits as early as possible after the product introduction. Once the company generates sufficient profit quickly, they may have another new product ready to promote. Thus, an open-source strategy may not allow such a firm to maximize its profits earlier after the introduction and move on to another new product.
Finally, from the resource-based view, our research sheds light on a possible new way of acquiring resources to enhance creative intensity without relying on a traditional governance structure such as market or hierarchy [75]. In an open-source community, the open-source firm relies on the resources of other organizations to generate secondary ideas. To attract such resources, the open-source firm discloses the primary idea to other organizations. Such efforts result in the establishment of an open-source digital platform. Using the platform offered by an open-source firm, application developers engage in developing secondary ideas for the platform. Overall, instead of selling the primary idea to end users, the open-source firm uses the primary idea to attract the resources of application developers to enhance creative intensity on the open-source digital platform.

Limitations and Future Research
First, in our paper, we are primarily interested in a firm's decision to use the primary idea to attract the resources of other organizations that generate and sell secondary ideas with an open-source strategy instead of selling the primary idea to end users. Thus, we considered only profits from selling secondary ideas on an open-source digital platform. Researchers are encouraged to extend our model to include other sources of profits for open-source strategy. For instance, the open-source firm can generate profits from inapplication advertisements [62,76]. Researchers are encouraged to extend our model to incorporate these additional sources of profits.
Second, researchers are encouraged to investigate issues associated with quality control within the open-source community. In its introduction phase of the Android project, Google did not have a stringent approval process for its application on the platform [77]. Although an open-source strategy may enhance the creative intensity of an open-source community, the community may benefit from a selection process for new ideas (applications). Creativity is associated with both newness and usefulness [78]; thus, the process of selecting new and useful ideas may enhance the creativity of applications available within the open-source community [79]. Researchers are encouraged to investigate whether an open-source community should implement such an idea-screening process.
Third, researchers are encouraged to apply transaction cost analysis in the context of an open-source strategy. A community, the governance structure of the Android open-source project, enjoys the benefits of two types of governance structure: market and hierarchy [75]. To identify suppliers for a product using a market mechanism, a manufacturer must search for, evaluate, and select suppliers (i.e., transaction costs) [80]. When a firm conducts an activity using its own resources instead of a market mechanism, the firm can minimize its transaction costs [81]. Thus, a market mechanism typically suffers higher transaction costs than conducting activities within an organization. In an open-source community, such as Linux, although each member does not belong to the same organization, the community enjoys relatively low transaction costs due to nonmonetary incentives (e.g., mutual trust) [75]. In contrast, in this paper, we have discussed the open-source strategy of a for-profit organization that utilizes a profit-sharing mechanism (i.e., monetary incentives). Monetary incentives are believed to be effective for reducing opportunistic behavior [82]. Thus, researchers are encouraged to investigate how profit-sharing mechanisms could reduce transaction costs in an open-source community.
Author Contributions: Writing-original draft preparation, N.F. and Y.Z.; writing-review and editing, N.F., Y.Z. and S.E. All authors have read and agreed to the published version of the manuscript.
Funding: This research received no external funding.
Institutional Review Board Statement: Not applicable.

Informed Consent Statement: Not applicable.
Data Availability Statement: The study did not include any data collection.

Conflicts of Interest:
The authors declare no conflict of interest.

Abbreviations
Main Notations: We list the main notations used in our model as follows.

V(t)
Value Demand for applications at time t

π(t)
Profit of an open-source firm at time t