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This study develops an empirical framework to address how large third-party sellers (TPSs) can apply customer acquisition strategies to improve their performance in consumers’ person-goods matching process and how the platform firm’s similar strategies moderate the effects of TPSs’ strategies.

Using data collected from the top ten TPSs from a Chinese e-commerce platform, the fixed effect model is used to validate the conceptual model and hypotheses.

The study results show that both market detection strategy and matching optimization strategy can help large TPSs improve their sales performance. Moreover, the similar market detection strategy applied by the platform firm weakens the effect of large TPSs’ customer acquisition strategies, while the similar matching optimization strategy applied by the platform firm strengthens the effect of large TPSs’ customer acquisition strategies.

This study provides firsthand evidence on the performance of large TPSs’ and the platform firm’s strategies. It demonstrates the effectiveness of large TPSs’ market detection strategy and matching optimization strategy, which can be adopted to meet consumers’ search and evaluation motivations in their person-goods matching process respectively. Moreover, it identifies the role of platform firms by showing the moderating effect of similar strategies adopted by the platform firm on the effect of large TPSs’ customer acquisition strategies.

The article examines four strategies for creating competitive advantage in markets enabled by digital platforms.

The four strategies are assessed: 10; Strategy 1: The Digital Industrialist - hardware-data-experience. 10;Strategy 2: The Digital Consumer - experience-data-platform-hardware. 10;Strategy 3: The Data Acquirer - buy data (D). 10;Strategy 4: The Platform over Platform (PoP).

By offering their customers even more compelling and unique cross-platform experiences, platform over platform entrants can create new mega-platform environments, overarching existing, otherwise successful platform environments.

By expanding and deepening their customers’ engagement, platform over platform businesses might ultimately relegate some existing platforms to digital infrastructure – providing the pipes and plumbing for customers empowered to jump seamlessly across and between platforms with the support and encouragement of their platform over platform orchestrators.

Extant literature in Video on Demand (VoD) has taken the consumer perspective; however, the stakeholder perspective is largely neglected. This paper aims to fill this gap by understanding the strategies to enhance the experience and engage customers from the supplier’s point of view. The purpose of the study is to identify and analyse strategies adopted by over-the-top (OTT) platforms that ensure consumer loyalty in the VoD space.

Using a qualitative approach and inductive qualitative design, the authors interviewed 16 industry experts associated with OTT platforms in India and people handling various marketing-related positions. Data collected included topics related to industry landscape, the value created for a customer, consumer experience, engagement and platform stickiness. Thematic analysis was used to find meaningful semantic elements.

This study has found that consumer experience, content differentiation, consumer sense-making and engagement and platform extension as value enhancers as the key strategies been adopted in the Indian context, thereby leading to a platform’s stickiness.

This research offers insights to policymakers of content, digital platforms, media practitioners and managers that are drawing consumers influenced by platform strategies.

This research provides insights to content policy makers, digital platform leaders, media practitioners, and managers who are influencing consumers through platform strategies.

The research could help entrepreneurs and marketers understand the perspectives of stakeholders in the VoD industry in India.

The study encourages researchers to explore the concept of stickiness, which may or may not be equivalent to loyalty. It is important to focus on quality, frequency, and regular reminders to help customers return to the same platform in the short term.

The paper analyses the implications of a platform strategy in new product development with reference to the automobile industry. The implications and benefits of a platform strategy are discussed from both the technical and organisational points of view. The impact of a platform strategy on international product development is then analysed. The paper draws on examples from the experience of major Japanese automobile companies. In general, the analysis highlights how platform strategies are evolving and how they must be recognised more and more in relation to the internationalisation processes of R&D activities and operations. Moreover, different approaches are pointed out concerning more advanced and/or conservative approaches to platform development. A more advanced approach leads to more benefits in terms of the performance of the product development process and the reorganisation of the development process on a global level.

Sharing economy-based service platforms are a relatively new way of delivering services that have received increasing attention from both practitioners and researchers. However, current research in the area is still developing in terms of offering practical insight in conjunction with a decision model that may help to determine optimal strategies for efficient service design in the sharing economy from a service triad perspective. Exploring this gap in the literature, this paper aims to develop and apply a decision model that enables managers to identify and prioritise the efficiency attributes of sharing economy-based services. It also aids in designing optimal strategies to enhance efficiency over time based on the insights obtained from users (buyers and sellers) and platform providers.

This study adopts a mixed-methods approach. The qualitative approach comprised an extensive literature review followed by in-depth interviews, and the quantitative approach adopted the quality function deployment (QFD) integrated optimisation technique to design and prioritise the most optimal strategy emanating from the application of a decision model.

The findings revealed that establishing global distribution, continued technological research and development (R&D) and enhancing the transactional platform are the most important strategies in the context of sharing economy platform providers (e.g. accommodation-based-platform service providers). This study also revealed that as the importance weights of the efficiency attributes changed over time, so too did the portfolio of strategies used to attain an optimal efficiency level.

The decision model brings a richer conceptual understanding of the dynamic changes over time that occur in the business ecosystem. It also allows managers of sharing economy-based platforms to select optimal strategies and make astute decisions towards achieving efficient service design.

Over the past years – because of the huge impact of companies such as Airbnb and Uber – the concept of the platform became extremely popular in the business world. Still, the concept of the platform has been evolving for a long time in the management field, from internal platforms (like the famous case of Sony Walkman) to industry-wide platforms (like the case of computers with external software developers), up to transaction and two or multi-sided platforms (such as Airbnb and all the companies with a similar business model). Platforms are often considered disruptors in several industries, from accommodations to mobility to entertainment. Still, the disruptors in the creative world usually deal with the way in which they distribute content (Netflix or Spotify), rather than with the content itself. The purpose of this paper is to understand if and how platforms trategies can also be used in the creative industries.

This paper digs into the movie industry, studying the three most successful Superheroes sagas of the past two decades as follows: the Marvel Cinematic Universe (MCU), DC Comics and X-Men using a narrative approach. The three sagas are studied through network analysis to understand their “platform approach”.

The results show how platform strategies are relevant also in creative industries – defining the concept of “knowledge platform strategy” – and how they have a significant impact in terms of market performance. The MCU builds on a common knowledge through the various movies that enable the chance to rely on many of the platforms’ characteristics emerging from the literature.

This research extends the concept of “platforms,” relying on the three kinds of platform defined in the managerial literature and introducing the “knowledge platform strategy” for creative industries. The main contribution is related to the extension of platforms in research fields where it has not been exploited. This opens up avenues for research both from a knowledge platform and creative industries perspectives.

Managers, working not only in creative industries but also in industries where a common knowledge basis may be leveraged to develop new products over time, may use the concept of “knowledge platform strategy” to rethink the new development process or knowledge management from a customer perspective.

This study explores a mature and relevant concept – the platforms – in a new filed, the creative industries using the case of Superheroes sagas, proposing a new perspective to explain the success of MCU while proposing a new platform strategy.

This study proposes a conceptual framework for analyzing customer management strategies and their effects on Internet-based platform performance based on a review of the relevant literature, and provides directions for future research.

A literature review of relevant research articles on customer management in platform firms was conducted.

First, a framework based on the market maker view of platform firms suggests customer acquisition, customer retention and customer governance are the main customer management subprocesses toward improving platform firm performance. Second, the most studied customer management strategies for each subprocess contribute to platform performance based on the mechanisms of building customer network, developing customer network effect and managing sustainable customer networks.

This study proposes a framework that identifies customer acquisition, customer retention and customer governance as three key customer management subprocesses in platform firms. It also summarizes the most studied customer management strategies/actions for each subprocess. With this analytical framework, it identifies underexplored key issues in customer management for further research.

This study attempts to reveal product platform strategy via business-to-business (B2B) platform ecosystems. The authors advance the views of platform ecosystems in the innovation literature by introducing a contingency perspective that underscores the role of market, organizational and technological innovativeness in product platform strategy.

This study explores three contingent factors, specifically market innovativeness, technological innovativeness and organizational innovativeness that affect the product platform strategy of high-tech firms. The theoretical model is empirically validated using survey data from 191 high-tech firms.

Using a data set of high-tech manufacturing firms, the results show that product platform strategy is positively related to firm performance. Additionally, the results provide evidence supporting the positive moderating effect of the three-way interaction among market, organizational and technological innovativeness on the contribution of product platform strategy to firm performance.

A platform product strategy is a determining factor in firm performance that requires firms to have a “fit” with their innovation activities. This study contributes to theoretical development at the intersection of product platform strategy and innovativeness.

When firms seek to align their technological innovativeness with their organizational innovativeness, the benefits of such innovativeness may be more pronounced in a platform product context. Moreover, the results may help guide platform managers and decision makers in identifying and securing appropriate innovation activities to enhance product platform strategies.

This study provides a product platform strategy in B2B platform ecosystems and shows how different innovation activities interact to improve the product platform strategy.

This paper aims to propose the mechanism of cross-network effect embedded, which can help cross-border e-commerce (CBEC) platforms strengthen cooperative relationships with sellers more equitably and effectively by using the network structural characteristics of the platforms themselves.

A two-stage evolutionary game model has been used to confirm the influence factors. The mathematical derivation of evolutionary game analysis is combined with the simulation method to examine the role of cross-network effect in cooperation. The evolutionary game model based on the cross-network effect is proposed to achieve better adaptability to the study of cooperation strategy from the two-sided market perspective.

The evolutionary game model captures the interactions of cross-network effect and the influence factors from a dynamic perspective. The cross-network effect has a certain substitution on the revenue-sharing rate of SMEs. CBEC platforms can enhance the connection between consumers and the website by improving the level of construction, which is a good way to attract sellers more cost-effectively and efficiently.

This study provides a new method for the validation of the cross-network effect, especially when data collection is difficult. But this method is only a numerical simulation. So the conclusions still need to be further tested empirically. Besides, researchers are advised to explore the relationship between the added user scale and the cross-network effect in some specificCBEC platforms.

This study provides a new method for the validation of the cross-network effect, especially when data collection is difficult. But this method is only a numerical simulation. So the conclusions still need to be further tested empirically. Besides, researchers are advised to explore the relationship between the added user scale and the cross-network effect in some specific CBEC platforms.

Investigations that study cooperation strategy from the cross-network effect perspective in CBEC are limited. The research figured out which influence factors are affected by the cross-network effect in cooperation. A two-stage evolutionary game model was proposed to explain the interaction of the factors. The evolutionary game analysis with a simulation method was combined to highlight the role of cross-network effect on cooperation strategy to give a deeper investigation into the sustainable cooperation ofCBEC.

Although green logistics has become a new focus of cooperation between government and enterprises under environmental constraints, how local governments formulate subsidy policies to effectively guide the green transformation of regional logistics and how to facilitate the reasonable cost-sharing are rather critical. This paper will deeply explore the dynamic process of the tripartite participation (government, platform, and logistics enterprises) in the selection of regional green logistics strategy, and reveal the evolutionary game relationship of the three parties.

To explore the dynamics involving the government, platform and logistics enterprises for the green logistic transformation, and reveal the evolutionary gaming among the three parties, based on the bounded rationality premise, this study constructs the tripartite asymmetric evolutionary game models, uses the stability theorem of differential equation to explore the evolution and stability strategy of the system in different cases and explicates the paths of influence on the tripartite behaviors via simulations.

Results of this study indicate that there exist stable equilibrium strategies among the three parties regarding the regional green logistics, and they are affected by different factors. The government's subsidy, subsidy intensity and the platform's cost-sharing proportion can generate positive effects, but the latter two can also impact negatively beyond the effective ranges. The findings provide a theoretical basis for local governments, platforms and logistics enterprises to formulate justifiable subsidy intensity and determine reasonable sharing proportion.

Firstly, considering the significant relevance of local government, it is included in the evolution model, and the tripartite game (among government, platform and enterprises) is explored; Secondly, by comparing the equilibrium results under different game conditions, this paper analyzes the evolution of each party's game strategy to achieve the optimal return under bounded rationality and the important factors determining the strategic selection; Finally, the key factor of platform cost sharing is involved, and to what extent the change of platform cost sharing ratio will influence the systematic stability is explored.