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Two or multi-sided platforms - defined as those companies that aim to connect two or more groups of customers leveraging the opportunities provided by indirect network externalities – got massive attention from both scholars and practitioners over the last decade. Entrepreneurship scholars mainly focused on the platform's ability to enable entrepreneurial ventures for the complementors' side, exploring the network-centric view. This study aims to expand it by exploring the broader influence that sides can have on the platform provider's entrepreneurial decisions over time, during the evolution of the two-sided platform.

The study is based on a longitudinal single case study developed over five years. The research presents the born and evolution of Friendz, an Italian two-sided platform.

The research presents a four-phases evolution process that shows how the entrepreneurs may first leverage an existing platform to develop a new venture and then develop his/her own two-sided platform. In this latter phase, the findings show how the sides may actually influence the platform provider's entrepreneurial decisions, both in terms of value proposition design, but also regarding the creation of new ventures.

The study contributes to the two-sided platform literature highlighting new evolutionary paths that expand current literature and highlight the doubling platform approach. Moreover, it contributes to the entrepreneurship literature offering a novel perspective on the entrepreneurial dynamics in two-sided platforms by re-balancing the power between the platform provider and the sides within the double network-centric view.

From a practitioners' perspective, this study offers an evolutionary path and specific tactics related to the evolution of an entrepreneurial venture based on a two-sided platforms that may inspire entrepreneurs working on two-sided platforms on how to use existing platforms and on the management of sides and the value propositions used to target them.

This study takes a novel perspective at the intersection between platforms and entrepreneurship literature streams, exploring the power that sides have over the platform provider in shaping the platform's entrepreneurial evolution. In doing so, it proposes a double network view on two-sided platforms and highlights three network-related tensions that can guide the evolution of the two-sided platforms.

The pervasive spread of digital technologies brought an incredible boost in data availability. Companies are dealing with massive amount of data that wait to be exploited. At the same time, scholars are providing different strategies and methods to help companies capture the value embedded in their data to foster innovation and improve the efficiency of existing processes. In these research studies, data are the by-product of something else, and they are a silent asset that needs to be exploited. What if data might be considered the final goal? The paper aims to discuss these issues.

The research is based on an exploratory multiple case study analysis, on the basis of three cases used as an illustration for new ideas. In particular, the gathered data are analyzed according to models previously presented in the literature review, building on and expanding them.

The research proposes a data-driven approach to innovation, offering a peculiar view of the innovation process. The trigger point is the need of data that let begin the entire development process of a complex system. In this perspective, the application that data are a by-product of the entire innovation process and not the primary output is peculiar since the vast majority of the literature consider data as the by-product of the primary product.

Future research is needed to assess the replicability of the model outside the mobile app industry and to measure its performances. Nevertheless, this paper provides insights both for scholars and managers, enlarging the discussion on digital innovation and digital business models.

The results provide a development process to foster innovation relying on the need of data as the trigger point, guiding entrepreneurs and managers in the building process of the entire digital system.

Previous research studies often considered Big Data (BD) in innovation as a way to enlarge the current product offer or to make the innovation process more effective or efficient; this paper changes the perspective by considering BD as the trigger and the enabler of the entire digital innovation process.

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.

Innovation dynamics have been the object of study of several researchers, focusing in particular on technological innovation and the emergence of a dominant design. However, these models have been challenged by how the pervasiveness of digital technologies is speeding up the pace at which innovation evolves. On the other hand, a growing body of literature in innovation management has started underlining the relevance of new product and service meanings as a source of innovation.

This research aims to study the different innovation dynamics within an industry, investigating not only how companies react to fast-changing functional advancements but rather how their behavior changes as shifts in meaning occur. To properly assess the phenomenon, this longitudinal study analyzes the social media industry, strongly subjected to continuous functional advancements, through a deep dive in the 160 innovations introduced between 2003 and 2017 by the eight leading players in the industry.

Our results illustrate the co-existence of different approaches to innovation within an industry and hint that consequent and fast cycles of innovation in both functionalities and meanings discourage the emergence of a dominant design.

Our results help managers and innovators acknowledge the possibility to leverage not just on the technological dimension of innovation but also the reason why people use a given product or service, innovating its meaning. Furthermore, our results recognize the co-existence of different innovation streams upon which innovators can act.

This research contributes to the extant literature in innovation management, extending the classical models of innovation dynamics by including the evolution of innovations of meaning in relation to technological innovation.

This article is based on a systematic and comprehensive review of the literature on two-sided platforms, the business structure based on the concept of matchmaking groups of customers (e.g. Uber or Airbnb). The research aims to identify gaps in the existing literature while providing a structured summary of the existing knowledge in the field. Finally, we propose a conceptual framework enabling platform thinking, the ability to see hybrid multi-sided platforms as a useful resource-orchestration structure to unveil innovation opportunities.

This study adopts a bibliometric approach, combing co-citation and text mining analyses of 196 papers, also implementing a longitudinal analysis that highlights the evolution of the field since its inception till today.

The novel aspect of the paper consists in taking a purely managerial stance of a very peculiar kind of platform, merging existing knowledge in comprehensive frameworks while providing potential avenues for research.

From an academic perspective, this research highlights the double nature of two-sided platforms: as an operational choice or as a way to exploit (digital) assets and reach the economic sustainability. A research agenda is proposed, based on three pillars: a side-based standpoint, a business model perspective and an evolutionary stance to see how these businesses may evolve.

The research identifies different literature streams that may help practitioners in identifying how two-sided platforms may help them in fostering innovation.

The identification of two-sided platforms as a different way to create value (transaction platforms) or to capture value (non-transaction platform), enhancing the debate on this innovative business model. A research agenda to bring the field forward is proposed.

Platforms have often been considered an excellent example of innovation with an incredibly fast diffusion rate due to network effects. Notwithstanding, in many cases, they match the definition of resistant innovations, requiring a significant change in the consumers' behavior that may slow down the process of diffusion. How can network effects be leveraged to disseminate resistant innovation based on a platform structure?

This research focuses on the car-sharing industry as a single case study, involving five different providers and two service aggregators operating in Milan, Italy.

First, this research shows how direct network externalities on the providers' side may play a vital role in the dissemination process, increasing the value perceived by the potential new entrants. Second, it shows how co-opetition dynamics, eventually encouraging multihoming phenomenon, may play – in the first phases of the diffusion process – a pivotal role to let the industry flourish.

This research contributes to the growing literature on platforms and two-sided platform showing how this model may be applied more broadly to network businesses to understand competitive dynamics.

This study offers insights to managers and practitioners dealing with network services, showing the potential benefits of coopetitive strategies while facing the initial phases of the dissemination process.

This paper gets together resistant innovation, two-sided platforms and network effects offering novel insights on the dynamics of network services – such as the car-sharing – while giving fresh insights taking the perspective of the service providers.

The purpose of this paper is to delineate the current state of the art of sharing economy (SE) research and practice. It provides a new framework to help managers and academics to consider this field with the right managerial and theoretical lenses.

A systematic literature on the SE was conducted, resulting in the analysis of 114 articles in the management literature. This was completed by the empirical investigations of business model and industry of 32 members of three national associations promoting SE: SE UK, Ireland and Denmark.

Papers dealing with SE themes focus on consumers’ motivations, impact on the society, market and policy, as well as the revenue model. SE businesses can be differentiated depending on whether their assets are new or re-used and the transaction is permanent or temporary. Based on this matrix, the study reveals four archetypes of SE businesses: “on-demand renters,” “lifecycle extenders,” “seller aggregators” and “ephemeral matchmakers.”

The paper outlines a significant gap between what is current focus of the academic literature and the reality of SE purposes and businesses. This provides goals for future research.

The framework and clustering of business model archetypes may help managers and entrepreneurs dealing with SE to better understand the underlying value drivers behind those business models.

There are some discrepancies between the SE themes emerging from the management literature and the business model diversity of SE companies. This research aims at helping scholars and managers to position themselves in the field.

To overcome change management challenges, organizations often rely on stories as means of communication. Storytelling has emerged as a leading change management tool to influence and bring people on sharing knowledge. Nevertheless, this study aims to suggest stories of change as a more effective tool that helps people in taking action toward transformation processes.

The authors apply design science research to develop and evaluate how writing a prospective story engages organizational actors in the transformation process. The authors test the story-making artifact in a field study with five companies and 115 employees who participated in 75 workshops.

Using the findings to discuss the role of story-making in facilitating the emergence of new behaviors in transformation processes, the authors link story-making with the opportunity to make change happen through knowledge dissemination rather than merely understanding it.

The authors illustrate the role of iterations, peers and self-criticism that help story-makers embrace sensemaking, developing a shared knowledge based that influence individual actions.

The authors propose the story-making approach that organizations can follow to nurture change to make transformation happen through knowledge cocreation.

The research explores story-making as an individual act of writing prospective stories to facilitate the emergence of new behaviors through shared knowledge.

In a world where innovation became a “buzzword” and everyone within companies is required to foster innovation, the engagement of people toward innovation is fundamental to prompt individual motivation and actions to make innovation happen. However, despite the relevance of the relationship between engagement and innovation, the literature on the topic appears still fragmented. The purpose of this study is to provide an overview of the topic through a systematic literature review.

A final sample of 108 papers has been selected and analyzed through co-citation and text mining analyses. The former enabled the analysis of the structure of the theoretical foundation of the filed, while the latter facilitated a systematic and unbiased content-driven review of the literature.

The results of the analysis indicated two main areas of interest describing the relationship between engagement and innovation. On the one hand, there is the focus on “engagement as an attitude,” intended as the capacity of individuals to generate and realize innovation. On the other hand, there is a stream of literature focused on “engagement as involvement,” which refers to co-innovation paradigms, involving both internal and external stakeholders.

From an academic perspective, this paper highlights the relevance of the “human-side” of innovation, proposing avenues for future research that dig into the relationship between people's engagement and innovation dynamics. Moreover, it shows how the recent developments in the innovation management literature are coherent with this emerging relevance of the human perspective in innovation.

From a practitioner’s perspective, this paper helps managers by highlighting the two different approaches that they can have in terms of engagement. The study aims to help them in identifying the kind of engagement they are looking for in their employees and other innovation stakeholder having the support to find relevant studies in that direction.

The study unveils how the evolution of both areas over the years is strictly related to the megatrends of innovation fields, which are the main areas of knowledge not covered yet. Therefore, a research agenda is proposed.

This study aims to investigate how two collaborative methods – selection and synthesis – influence knowledge convergence when people articulate a new strategic direction driving transformation within the organization.

The study is based on a longitudinal field experiment developed in four organizations involving 82 employees over a three-month process. Inspired by dynamics governing flocks as complex adaptive systems, selection and synthesis have been separately used in two sets of companies. Primary and secondary data have been largely collected and analyzed throughout the whole process.

This study describes how the two alternative methods differently influenced two kinds of knowledge convergence. While selection triggers a general and static knowledge convergence and the propagation of individual knowledge over time, synthesis fosters a local and dynamic knowledge convergence where individuals tend to propagate knowledge generated collectively.

This research offers insights into understanding the influence of alternative collaborative methods on the creation and propagation of knowledge when people are converging toward a new strategic direction. From a theoretical perspective, it contributes to complex adaptive system theory, highlighting the role of knowledge convergence and emergence through collaboration.

This research offers insights to managers who deal with the complexity of the engagement of different stakeholders during collaborative processes, offering some actionable takeaways to foster knowledge convergence by alternatively employing selection and synthesis.

This paper contributes to the management and social information processing literature emphasizing the role of knowledge convergence emerging from the complex interactions among multiple stakeholders.