ABSTRACT Recently, methods for generating context-aware recommendations were classified into the ... more ABSTRACT Recently, methods for generating context-aware recommendations were classified into the pre-filtering, post-filtering and contextual modeling approaches. Although some of these methods have been studied independently, no prior research compared the performance ...
Journal of Product Innovation Management, Feb 9, 2023
Reward‐based crowdfunding (CF) has emerged as a method to solicit funds for innovative projects. ... more Reward‐based crowdfunding (CF) has emerged as a method to solicit funds for innovative projects. Yet, little is still known about the ability of reward‐based CF to act as a signal in the eyes of future consumers, and thus boost the future market performance of new products that innovators intend to commercialize using the campaign funds. In addition, scant research has clarified the boundary conditions that can magnify or weaken the efficacy of this CF signal. Given the relevance of reward‐based CF for supporting innovation, understanding when the CF campaign performance works as an effective signal is of great interest, especially in business settings characterized by high product quality uncertainty. By using the movie industry as a setting, we contribute to fill this gap. Specifically, we argue that the positive effect of the reward‐based CF performance is moderated by two important factors influencing consumers' purchase decisions: the degree of product innovativeness and the expert judgment about the product. Elaborating on the effects of product innovativeness, we posit that this product feature should moderate the positive relationship between CF and subsequent market performances in an inverted U‐shaped fashion. Favorable expert recommendations, on the other hand, should weaken the efficacy of the CF performance as a signal. Results from a sample of 1059 new movies (of which 152 released in theaters) confirm these predictions and offer several remarkable implications for innovators.
Technological Forecasting and Social Change, May 1, 2023
This paper investigates the phenomenon of business models innovation (BMI) empowered by digital t... more This paper investigates the phenomenon of business models innovation (BMI) empowered by digital technologies and activated as a response to Covid-19 crisis. In fact, during the crisis numerous digital redesigns of businesses occurred to pursue both continuity and competitive advantage. Among these, the food retail sector has undergone under the pressure of the crisis intense digital changes, which, however, have not yet been investigated under the theoretical lens of BMI. To fill this gap, the paper analyzes the digital actions taken during the pandemic crisis by two large food retailers, namely Walmart and Carrefour. Covering a wide temporal interval of the pandemic evolution and reviewing multiple geographical markets, the authors interpreted the grocer's digital responses to the crisis in terms of innovation in value creation and capture mechanisms. As a result, three phases of digital BMI have been reconstructed, each characterized by specific mechanisms of value creation and capture experienced by the two grocers during the pandemic. Leveraging these findings, the paper proposes a model capable of defining how digital BMI takes place in response to crises. Results broaden theoretical knowledge and practical suggestions on digital BMI in terms of enabling factors, actionable value mechanisms, and future business opportunities.
ABSTRACT The present article sheds new light on the role of established technologies as a driving... more ABSTRACT The present article sheds new light on the role of established technologies as a driving force behind technological evolution, hence unveiling their breakthrough potential. Specifically, going against the conventional wisdom that only nascent technologies significantly shape future technological developments, we examine the likelihood that established technologies have to become breakthrough solutions. Furthermore, we also analyse if and how the breadth of knowledge base characterising those inventions influences this probability. Based on a sample of 21,000 patents belonging to the aerospace industry granted at the United States Patent and Trademark Office (USPTO), our results reveal that established technologies have an inverted U-shaped effect on the likelihood of becoming breakthroughs, and that such relationship is negatively influenced by a wide knowledge breadth.
International Journal of Bank Marketing, Sep 6, 2018
Purpose The purpose of this paper is to demonstrate that a deeper analysis of customer experience... more Purpose The purpose of this paper is to demonstrate that a deeper analysis of customer experience (CE) can identify idiosyncratic and critical perceptions in the experiences of groups of customers. Design/methodology/approach The methodology that the authors used is made of three main steps: segmentation analysis, profiling and identification of idiosyncratic clusters’ profiles (i.e. those with a CE perception different respect to the whole sample) and among these idiosyncratic clusters, identification of those that may be critical for the business. Findings The authors identified clusters of customers showing significant differences in their perceived experience with respect to the holistic CE model. Nevertheless, a sample of bank managers assessed three cluster profiles among them to be critical signals a company. The identification of these idiosyncratic patterns provides managers with interesting additional insights that would be hidden in a holistic CE model. Practical implications Managers can gain valuable insights of CE from this analysis that should be added to those coming from an holistic CE model. Originality/value This paper contributes to the scientific research in that it extends the knowledge about CE by showing how personal factors can be identified and how drawing additional managerial insights.
AbstractRecent research has shown that including context in a recommender system may improve its... more AbstractRecent research has shown that including context in a recommender system may improve its performance. The context-based recommendation approaches are classified as pre-filtering, post-filtering and contextual modeling. Moreover, in real e-commerce ...
Abstract Despite the growing popularity of Context-Aware Recommender Systems (CARSs), only limite... more Abstract Despite the growing popularity of Context-Aware Recommender Systems (CARSs), only limited work has been done on how contextual recommendations affect the behavior of customers in real-life settings. In this paper, we study the effects of contextual ...
ABSTRACT Recently, methods for generating context-aware recommendations were classified into the ... more ABSTRACT Recently, methods for generating context-aware recommendations were classified into the pre-filtering, post-filtering and contextual modeling approaches. Although some of these methods have been studied independently, no prior research compared the performance ...
Journal of Product Innovation Management, Feb 9, 2023
Reward‐based crowdfunding (CF) has emerged as a method to solicit funds for innovative projects. ... more Reward‐based crowdfunding (CF) has emerged as a method to solicit funds for innovative projects. Yet, little is still known about the ability of reward‐based CF to act as a signal in the eyes of future consumers, and thus boost the future market performance of new products that innovators intend to commercialize using the campaign funds. In addition, scant research has clarified the boundary conditions that can magnify or weaken the efficacy of this CF signal. Given the relevance of reward‐based CF for supporting innovation, understanding when the CF campaign performance works as an effective signal is of great interest, especially in business settings characterized by high product quality uncertainty. By using the movie industry as a setting, we contribute to fill this gap. Specifically, we argue that the positive effect of the reward‐based CF performance is moderated by two important factors influencing consumers' purchase decisions: the degree of product innovativeness and the expert judgment about the product. Elaborating on the effects of product innovativeness, we posit that this product feature should moderate the positive relationship between CF and subsequent market performances in an inverted U‐shaped fashion. Favorable expert recommendations, on the other hand, should weaken the efficacy of the CF performance as a signal. Results from a sample of 1059 new movies (of which 152 released in theaters) confirm these predictions and offer several remarkable implications for innovators.
Technological Forecasting and Social Change, May 1, 2023
This paper investigates the phenomenon of business models innovation (BMI) empowered by digital t... more This paper investigates the phenomenon of business models innovation (BMI) empowered by digital technologies and activated as a response to Covid-19 crisis. In fact, during the crisis numerous digital redesigns of businesses occurred to pursue both continuity and competitive advantage. Among these, the food retail sector has undergone under the pressure of the crisis intense digital changes, which, however, have not yet been investigated under the theoretical lens of BMI. To fill this gap, the paper analyzes the digital actions taken during the pandemic crisis by two large food retailers, namely Walmart and Carrefour. Covering a wide temporal interval of the pandemic evolution and reviewing multiple geographical markets, the authors interpreted the grocer's digital responses to the crisis in terms of innovation in value creation and capture mechanisms. As a result, three phases of digital BMI have been reconstructed, each characterized by specific mechanisms of value creation and capture experienced by the two grocers during the pandemic. Leveraging these findings, the paper proposes a model capable of defining how digital BMI takes place in response to crises. Results broaden theoretical knowledge and practical suggestions on digital BMI in terms of enabling factors, actionable value mechanisms, and future business opportunities.
ABSTRACT The present article sheds new light on the role of established technologies as a driving... more ABSTRACT The present article sheds new light on the role of established technologies as a driving force behind technological evolution, hence unveiling their breakthrough potential. Specifically, going against the conventional wisdom that only nascent technologies significantly shape future technological developments, we examine the likelihood that established technologies have to become breakthrough solutions. Furthermore, we also analyse if and how the breadth of knowledge base characterising those inventions influences this probability. Based on a sample of 21,000 patents belonging to the aerospace industry granted at the United States Patent and Trademark Office (USPTO), our results reveal that established technologies have an inverted U-shaped effect on the likelihood of becoming breakthroughs, and that such relationship is negatively influenced by a wide knowledge breadth.
International Journal of Bank Marketing, Sep 6, 2018
Purpose The purpose of this paper is to demonstrate that a deeper analysis of customer experience... more Purpose The purpose of this paper is to demonstrate that a deeper analysis of customer experience (CE) can identify idiosyncratic and critical perceptions in the experiences of groups of customers. Design/methodology/approach The methodology that the authors used is made of three main steps: segmentation analysis, profiling and identification of idiosyncratic clusters’ profiles (i.e. those with a CE perception different respect to the whole sample) and among these idiosyncratic clusters, identification of those that may be critical for the business. Findings The authors identified clusters of customers showing significant differences in their perceived experience with respect to the holistic CE model. Nevertheless, a sample of bank managers assessed three cluster profiles among them to be critical signals a company. The identification of these idiosyncratic patterns provides managers with interesting additional insights that would be hidden in a holistic CE model. Practical implications Managers can gain valuable insights of CE from this analysis that should be added to those coming from an holistic CE model. Originality/value This paper contributes to the scientific research in that it extends the knowledge about CE by showing how personal factors can be identified and how drawing additional managerial insights.
AbstractRecent research has shown that including context in a recommender system may improve its... more AbstractRecent research has shown that including context in a recommender system may improve its performance. The context-based recommendation approaches are classified as pre-filtering, post-filtering and contextual modeling. Moreover, in real e-commerce ...
Abstract Despite the growing popularity of Context-Aware Recommender Systems (CARSs), only limite... more Abstract Despite the growing popularity of Context-Aware Recommender Systems (CARSs), only limited work has been done on how contextual recommendations affect the behavior of customers in real-life settings. In this paper, we study the effects of contextual ...
Uploads
Papers by Umberto Panniello