Daniel Trabucchi

The relevance of services is increasing in the world economy, and digital technologies are boosting this process. At the same time, customers are becoming used to receiving services that are closer to their needs and expectations, and Big Data seems to play a key role in the evolution of services. This research aims to link these two trends by studying how Big Data is re-shaping service classification, thereby impacting the variables that have been used over the years to describe and classify… Visualizza altro

The relevance of services is increasing in the world economy, and digital technologies are boosting this process. At the same time, customers are becoming used to receiving services that are closer to their needs and expectations, and Big Data seems to play a key role in the evolution of services. This research aims to link these two trends by studying how Big Data is re-shaping service classification, thereby impacting the variables that have been used over the years to describe and classify services. This paper studies this emerging kind of services through 12 illustrative case studies based on theoretical sampling, under two variables: the extent of customer contact and the degree of customer participation and involvement. The research offers a classification of these services, discussing them under the lenses of previous models in the service field. Meno dettagli

Two‐sided markets and digital platforms are becoming increasingly relevant in the modern scenario. Companies like Airbnb and Uber are inspiring many other firms in different fields that share their basic structure: they match two (or more) groups of customers. This research aims at exploring the innovation strategies companies such as these rely on to expand their basic structure towards more complex models. Being inspired by previous models in the field and considering the role that big data… Visualizza altro

Two‐sided markets and digital platforms are becoming increasingly relevant in the modern scenario. Companies like Airbnb and Uber are inspiring many other firms in different fields that share their basic structure: they match two (or more) groups of customers. This research aims at exploring the innovation strategies companies such as these rely on to expand their basic structure towards more complex models. Being inspired by previous models in the field and considering the role that big data seems to play in these businesses, a first conceptual model is presented. Therefore, 100 companies—using mobile apps as the empirical setting—are explored in this research to understand the common behaviors concerning evolution. In the end, three strategies are presented: Supply (Side) Expansion, Transactional Advertising, and Data Trading. These strategies are further discussed to highlight two main directions of innovation—ecosystem innovation and data push innovation—which may be merged giving birth to multi‐sided epiphanies. The paper contributes to the literature showing various strategies and their implication to foster innovation on two‐sided platforms. Moreover, it shows possible ways to exploit the value embedded in the complex ecosystems of the relationships they create. Meno dettagli

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… Visualizza altro

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. Meno dettagli

The breakthrough impact of new-born companies over the last years brought to the definition of Big Bang Disruption, a new kind of innovation that relies on an unencumbered development, an unconstrained growth, and an undisciplined strategy. The relevance from a practitioner perspective is straightforward: entire industries have been challenged and disrupted. From a theoretical perspective, the concept is less developed. This research aims to understand it through a Business Model perspective… Visualizza altro

The breakthrough impact of new-born companies over the last years brought to the definition of Big Bang Disruption, a new kind of innovation that relies on an unencumbered development, an unconstrained growth, and an undisciplined strategy. The relevance from a practitioner perspective is straightforward: entire industries have been challenged and disrupted. From a theoretical perspective, the concept is less developed. This research aims to understand it through a Business Model perspective, better highlighting the design variables that may lead to this kind of innovation. Leveraging crisp-set Qualitative Comparative Analysis (csQCA) to define the necessary conditions to be called a Big Bang Disruptor, this paper relies on a Rock Clustering method – using the Unicorns' list as the sample - to highlight common patterns. Results show two main factors: the chance to innovate the meaning and to rely on a two-sided market structure as key variables to design a Big Bang Disruptor. Results are discussed under the lenses of previous research. Finally, limitations and avenues for further studies are explored. Meno dettagli

Scholars have focused on platform strategies for a long time, moving from a product perspective to an industry-wide one. In particular, the decision to open the platform to external complementors has been studied through the perspective of platform leadership. The digital age is now moving from a closed approach versus an open approach. Is being a platform leader still imperative or is participating in a network of existing platforms still a suitable strategy as well? What kind of… Visualizza altro

Scholars have focused on platform strategies for a long time, moving from a product perspective to an industry-wide one. In particular, the decision to open the platform to external complementors has been studied through the perspective of platform leadership. The digital age is now moving from a closed approach versus an open approach. Is being a platform leader still imperative or is participating in a network of existing platforms still a suitable strategy as well? What kind of collaborations within an ecosystem leads to better performances? Leveraging social network analysis is performed within the network formed by mobile apps in the Health and Fitness category; this research shows how the decision of being (or not) a platform provider has an impact on the performances, but the position within the network mediates this impact. Based on the results obtained, research and managerial implications can be established. Meno dettagli

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… Visualizza altro

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.
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. Meno dettagli

The Open Innovation paradigm has been increasingly considered as a relevant approach to innovation. Among the different sources, end users are particularly meaningful. Scholars have highlighted several methods and strategies to involve them in the innovation process by asking, observing, and giving them the chance to actually co-create. Digital technologies are expanding the span of opportunities in this direction, gathering a huge amount and variety of data, while the end user enjoys a digital… Visualizza altro

The Open Innovation paradigm has been increasingly considered as a relevant approach to innovation. Among the different sources, end users are particularly meaningful. Scholars have highlighted several methods and strategies to involve them in the innovation process by asking, observing, and giving them the chance to actually co-create. Digital technologies are expanding the span of opportunities in this direction, gathering a huge amount and variety of data, while the end user enjoys a digital product; these data can be called “user generated big data” (UGBD). The aim of this research is to understand whether UGBD can contribute in user innovation and to highlight the enabled strategies to create value through them. Leveraging on a multiple case study (Twitter, Spotify, Strava, and Deliveroo), the paper first classifies UGBD among the methods to foster user centered innovation, and then it defines two strategies to create value relying on UGBD. First, companies can leverage on a “using data” strategy—addressing both the end user or other player in the ecosystem—fostering service innovation through an inbound approach. Second, a “selling data” strategy can be pursued, addressing new clients and fostering business model innovation, enlarging the company's value chain in an outbound perspective. Meno dettagli

The diffusion of digital technologies enables companies to propose new business, products and services. The business environment is characterized by increasing levels of competition, and cus- tomers can choose a growing number of solutions. In this scenario, companies seek new dimen- sion of innovation: the meaning. A vigorous debate has taken place among scholars on the strategies that companies may use to react to external innovations. Until now, the phenomenon has been analysed grounded in… Visualizza altro

The diffusion of digital technologies enables companies to propose new business, products and services. The business environment is characterized by increasing levels of competition, and cus- tomers can choose a growing number of solutions. In this scenario, companies seek new dimen- sion of innovation: the meaning. A vigorous debate has taken place among scholars on the strategies that companies may use to react to external innovations. Until now, the phenomenon has been analysed grounded in the technology‐push literature. The goal of this study is to under- stand whether these strategies are still valuable even if innovators leverage not only on the tech- nology but also on a hedonic dimension proposing an innovation of meaning. Through a multiple case‐study analysis, based on both primary and secondary sources, we investigate whether the case companies from the music industry also used the strategies described in the literature to cope with technological innovations that leverage both on technology and meaning. Meno dettagli

Consumers are getting used to receiving free services in many different fields, and the popularity of the mobile app industry is feeding this phenomenon. Historically, advertising—a typical two-sided market mechanism—is the primary method that companies relying on a free-to-consumers business model have used to appropriate value in digital environments. But new strategies are needed to make free services sustainable and profitable in the long term. At the same time, companies are gathering a… Visualizza altro

Consumers are getting used to receiving free services in many different fields, and the popularity of the mobile app industry is feeding this phenomenon. Historically, advertising—a typical two-sided market mechanism—is the primary method that companies relying on a free-to-consumers business model have used to appropriate value in digital environments. But new strategies are needed to make free services sustainable and profitable in the long term. At the same time, companies are gathering a huge amount of data from consumers, especially through mobile apps, by leveraging the sensors embedded in smartphones; this data represents a powerful new source of value. Through a case study analysis, we show how leveraging a two-sided structure can enable companies to capture value from user-sourced data, enabling a sustainable free-to-consumers business model. In this model, users are more than eyeballs to be targeted with advertising; they become data providers, and companies may capture value by using that data to customize advertising messages, leverage e-ethnography to improve their own core offer, serve as fodder for research, or create knowledge for third parties. Meno dettagli