
Francesca GrippaNortheastern University | NEU
Francesca Grippa
PhD
About
101
Publications
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Introduction
Francesca Grippa is a Professor of Business Strategy and Associate Dean of Research at Northeastern University, College of Professional Studies, where she also leads the EDA University Center "Inclusive Entrepreneurship Lab". Dr Grippa is a Research Affiliate at MIT Media Lab in the Human Dynamics group and has a long-standing collaboration with research scientists at the MIT Center for Collective Intelligence.
Additional affiliations
July 2010 - April 2019
Publications
Publications (101)
Nowadays, more and more companies are adopting business models based on the use of two-sided platforms with the aim of connecting two different groups of customers. At the same time, there is, in several application fields, a growing introduction of AI elements in products and services. Both these topics have the potential to generate innovation. P...
Purpose
This study aims to investigate the dynamics of knowledge sharing in health care, exploring some of the factors that are more likely to influence the evolution of idea sharing and advice seeking in health care.
Design/methodology/approach
The authors engaged 50 pediatricians representing many subspecialties at a mid-size US children’s hospi...
This research studies the impact of online news on social and economic consumer perceptions through semantic network analysis. Using over 1.8 million online articles on Italian media covering four years, we calculate the semantic importance of specific economic-related keywords to see if words appearing in the articles could anticipate consumers’ j...
In this paper, we confirm and extend the empirical evidence that discusses the role of individual traits in determining resource acquisition by entrepreneurs. Using a sample of 59,538 crowdfunding campaigns launched on the crowdfunding platform Kickstarter, we explore how the use of language can impact a campaign's success. This paper adopts a comb...
Everybody claims to be ethical. However, there is a huge difference between declaring ethical behavior and living up to high ethical standards. In this paper, we demonstrate that "hidden honest signals" in the language and the use of "small words" can show true moral values and behavior of individuals and organizations and that this ethical behavio...
Today brand managers and marketing specialists can leverage huge amount of data to reveal patterns and trends in consumer perceptions, monitoring positive or negative associations of brands with respect to desired topics. In this study, we apply the Semantic Brand Score (SBS) indicator to assess brand importance in the fashion industry. To this pur...
For centuries "innovation" has been a topic of book authors and academic researchers as documented by Ngram and Google Scholar search results. In contrast, "innovators" have had substantially less attention in both the popular domain and the academic domain. The purpose of this paper is to introduce a text analysis research methodology to linguisti...
This study investigates the correlation of self-report accuracy with academic performance. The sample was composed of 289 undergraduate students (96 senior and 193 junior) enrolled in two engineering classes. Age ranged between 22 and 24 years, with a slight over representation of male students (53%). Academic performance was calculated based on st...
Purpose: The purpose of this paper is to explore possible factors impacting team performance in healthcare, by focusing on information exchange within and across hospital's boundaries. Design/methodology/approach: Through a web-survey and group interviews, the authors collected data on the communication networks of 31 members of four interdisciplin...
This study explores the determinants of popularity within friendship and advice networks. We involved almost 200 college students in an experiment to predict how personality traits, self-monitoring, creativity, intelligence, energy, and beauty influence the development of friendship and advice networks. Our results indicate that physical attractive...
We measure and predict states of Activation and Happiness using a body sensing application connected to smartwatches. Through the sensors of commercially available smartwatches we collect individual mood states and correlate them with body sensing data such as acceleration, heart rate, light level data, and location, through the GPS sensor built in...
The purpose of this study is to examine the impact of board member composition and board members' social media presence on the performance of startups. Using multiple sources, we compile a unique dataset of about 500 US-based technology startups. We find that startups with more venture capitalists on the board and whose board members are active on...
We propose a novel method for finding the most innovative people in an organization, using email to analyze structure and dynamics of the organization's online communication. To illustrate our approach, we analyzed the email archive of 2000 members of the R&D department of a US multinational company. We use metrics of social network analysis extend...
We investigate the impact of a novel method called "virtual mirroring" to promote employee self-reflection and impact customer satisfaction. The method is based on measuring communication patterns, through social network and semantic analysis, and mirroring them back to the individual. Our goal is to demonstrate that self-reflection can trigger a c...
In this study we propose a method based on e-mail social network analysis to compare the communication behavior of managers who voluntarily quit their job and managers who decide to stay. Collecting 18 months of e-mail, we analyzed the communication behavior of 866 managers, out of which 111 left a large global service company. We compared differen...
This paper explores the association between brand importance and growth in museum visitors. We analyzed 10 years of online forum discussions and applied the Semantic Brand Score (SBS) to assess the brand importance of five European Museums. Our Naive Bayes and regression models indicate that variations in the combined dimensions of the SBS (prevale...
This article studies the impact of online news on social and economic consumer perceptions through the application of semantic network analysis. Using almost 1.3 million online articles on Italian media covering a period of four years, we assessed the incremental predictive power of economic-related keywords on the Consumer Confidence Index. We tra...
The authors would like to make the following corrections about the published paper [...]
This paper explores the effect of AI-enabled real-time feedback on group dynamics and individual behavior. While feedback interventions have been employed for several years to trigger behavioral change, the lack of instantaneous feedback and the required infrastructure are limiting the widespread use of these interventions. The methodology we descr...
The purpose of this study is to examine the impact of board member composition and board members’ social media presence on the performance of startups. Using multiple sources, we compile a unique dataset of about 500 US-based technology startups. We find that startups with more venture capitalists on the board and whose board members are active on...
Social support is considered an important factor in the recovery of individuals, who suffer from drug use disorder. Traditional drug treatment interventions have mainly focused on the individual without taking into consideration the social and environmental conditions that may support or reduce drug use. By combining a social capital framework with...
Leveraging the power of big data represents an opportunity for brand managers to reveal patterns and trends in consumer perceptions, while monitoring positive or negative associations of the brand with desired topics. This paper describes the functionalities of the SBS Brand Intelligence App (SBS BI), which has been designed to assess brand importa...
We propose a novel method for finding the most innovative people in an organization, using email to analyze structure and dynamics of the organization’s online communication. To illustrate our approach, we analyzed the email archive of 2000 members of the R&D department of a US multinational company. We use metrics of social network analysis extend...
Leveraging the power of big data represents an opportunity for brand managers to reveal patterns and trends in consumer perceptions, while monitoring positive or negative associations of the brand with desired topics. This paper describes the functionalities of the SBS Brand Intelligence App (SBS BI), which has been designed to assess brand importa...
This paper explores the association between brand importance and growth in museum visitors. We analyzed 10 years of online forum discussions and applied the Semantic Brand Score (SBS) to assess the brand importance of five European Museums. Our Naive Bayes and regression models indicate that variations in the combined dimensions of the SBS (prevale...
This volume is focused on the emerging concept of Collaborative Innovation Networks (COINs). COINs are at the core of collaborative knowledge networks, distributed communities taking advantage of the wide connectivity and the support of communication technologies, spanning beyond the organizational perimeter of companies on a global scale. The book...
Collaborative innovation networks are cyberteams of motivated individuals, and are self-organizing emergent social systems with the potential to promote health, happiness and individual growth in real-world work settings.
This book describes how to identify and nurture collaborative innovation networks in order to shape the future working environm...
This paper describes the design and application of a dashboard for visualising the interaction of content providers and online users with cultural objects within digital environments. The dashboard combines social network analysis metrics and content analysis indicators and relies on two-mode networks where nodes can be cultural heritage objects, i...
Purpose – In this paper we explore possible factors impacting team performance in healthcare, by focusing on information exchange within and across hospital’s boundaries.
Design/methodology/approach – Through a web-survey and group interviews, we collected data on the communication networks of 31 members of four interdisciplinary healthcare teams i...
We measure and predict states of Activation and Happiness using a body sensing application connected to smartwatches. Through the sensors of commercially available smartwatches we collect individual mood states and correlate them with body sensing data such as acceleration, heart rate, light level data, and location through the GPS sensor built int...
This study explores the determinants of popularity within friendship and advice networks. We involved almost 200 college students in an experiment to predict how personality traits, self-monitoring, creativity, intelligence, energy, and beauty influence the development of friendship and advice networks. Our results indicate that physical attractive...
This study investigates the correlation of self-report accuracy with academic performance. The sample was composed of 289 undergraduate students (96 senior and 193 junior) enrolled in two engineering classes. Age ranged between 22 and 24 years, with a slight over representation of male students (53%). Academic performance was calculated based on st...
This case study illustrates the growth process of a collaborative innovation network in healthcare. It tracks e-mail communication of COIN members through a method we call “virtual mirroring”, and measures the online perception of the topics of the COIN by coolhunting on social media such as Twitter and blogs. It also describes how the COIN members...
This unique book reveals how Collaborative Innovation Networks (COINs) can be used to achieve resilience to change and external shocks. COINs, which consist of 'cyberteams' of motivated individuals, are self-organizing emergent social systems for coping with external change. The book describes how COINs enable resilience in healthcare, e.g. through...
Mapping Social Networks to Identify Boundary Spanners and Connect Interdisciplinary Healthcare Teams
This paper describes the preliminary results of a study where we used Social Network Analysis and content mapping to assess information flows within and across departments at a large Children’s Hospital in the US. This initial knowledge audit effort is part of a larger improvement initiative to design a system focused on high-value by simultaneousl...
In this study we propose a method based on e-mail social network analysis to compare the communication behavior of managers who voluntarily quit their job and managers who decide to stay. Collecting 18 months of e-mail, we analyzed the communication behavior of 866 managers, out of which 111 left a large global service company. We compared differen...
Are you a Settler or a Nomad? Predicting Managerial Attrition via Email Network Analysis
This paper describes the design and implementation of a prototype to extract, collect and visually analyse
cultural digital resources using social network analysis empowered with semantic features. An initial
experiment involved the collection and visualization of connections between cultural digital resources - and
their providers - stored in the...
This study assessed the effect of interventions to existing architectural space
to remove environmental distractions, improve communication processes, and
promote team effectiveness. The goal of this research is to define a framework
that optimizes the development and delivery of care in patients with complex and
chronic health conditions by im...
In the last two decades, knowledge management has evolved through a number of different research fields and practitioner contexts. A recent development is represented by the concept of collective intelligence, as a new collaboration and socialization paradigm, thus including a relevant knowledge management component, aimed to find better solutions...
This research aims to apply models extracted from the many-body quantum mechanics to describe social dynamics. It is intended to draw macroscopic characteristics of organizational communities starting from the analysis of microscopic interactions with respect to the node model. In this chapter, the authors intend to give an answer to the following...
In this project we compare communication structure and content exchanged by members of creative, interdisciplinary teams of medical researchers, physicians, patients and caretakers with their creative output. We find that longitudinal social networking patterns and word usage predict creative performance. We collected the e-mail archives of 60 memb...
This paper describes the benefits of applying a Social Network Dashboard to monitor the evolution of knowledge flows within communities of innovation. Social interactions are observed within and across four inter-organizational communities at a large aerospace company. The application of the Dashboard revealed which of the communities were characte...
This paper describes the results of a longitudinal study of team communication structure for two distinct interdisciplinary healthcare teams at a large academic children medical centre in the USA. Our goal was to inform teams of opportunities and strategies that strengthen their communication structure. To this purpose we proposed an operational fr...
We describe the results of an experiment capturing the face-to-face 'honest signals' of knowledge workers through sociometric badges. We find that collective creativity of teams is a function of the aggregated social capital of members. The higher it is, the higher their creative output. We collected communication data of 14 graduate students and t...
This chapter describes an integrated methodology developed to combine two analytical approaches, social network analysis and content analysis, to investigate the organizational mechanisms responsible for the emergence of social capital within virtual communities. This integration is proposed to overcome the main limitation of social network analysi...
Chronic, complex health conditions require teams that communicate effectively to be able to achieve best outcomes. In this study, we assessed the communication structure using social network analysis (SNA) for three distinct multidivisional teams caring for populations of children who have undergone liver transplantation, have been diagnosed with c...
In this paper we describe a longitudinal analysis of the evolution of a team of medical researchers who are trying to establish a COIN consisting of patients of a chronic disease, family members of patients, doctors, and researchers. The data analysis is based on an e-mail archive consisting of the full mailboxes of the six project leaders covering...
This research aims to apply models extracted from the many-body quantum mechanics to describe social dynamics. It is intended to draw macroscopic characteristics of organizational communities starting from the analysis of microscopic interactions with respect to the node model. In this chapter, the authors intend to give an answer to the following...
This chapter describes an integrated methodology developed to combine two analytical approaches, social network analysis and content analysis, to investigate the organizational mechanisms responsible for the emergence of social capital within virtual communities. This integration is proposed to overcome the main limitation of social network analysi...
During the last decades, social and computer scientists have been focusing their efforts to study the effectiveness of collaboration in both working and learning environments. The main contributions clearly identify the importance of interactivity as the determinant of positive performances in learning communities where the supportive dimension of...
The rising of the knowledge economy, enhanced by the fast diffusion of ICTs, drives a wider perspective on the divide among Countries, interpreting it more and more as the result of an asymmetry in the access to knowledge and in the readiness to apply it in order to renew the basics of their development dynamics. Looking at the Mediterranean Area,...
Advances in communication technologies have enabled organizations to develop and operate decentralized organizational structures by supporting coordination among workers in different locations. Such developments have lessened formality in control structures and replaced formal channels of communication with less formal social networks. The chapter...
This chapter proposes an operational model to monitor and assess an Open Networked Learning Community. Specifically, the model is based on the Intellectual Capital framework, along the Human, Structural and Social dimensions. It relies on the social network analysis to map several and complementary perspectives of a learning network. Its applicatio...
This paper presents a framework developed to monitor the evolution of learning communities intended as open communities of peers, tutors, and mentors from industry and academia. The proposed framework is described through a case study that provides empirical evidence of the benefits of studying learning communities by observing group dynamics and d...
This paper develops understanding of how to design, manage and assess learning environments in which traditional and Web 2.0 technologies are integrated to improve the overall learning experience. To provide preliminary evidence, we designed an integrated model of a web based learning community (WBLC), comprising the following components: learning...
This article presents a methodological framework developed to monitor the evolution of virtual learning communities intended as open communities of peers, tutors, and mentors from industry and academia. The proposed framework is described through an explorative case. It has been applied to observe and supervise a virtual learning community built ar...
abstract accepted for presentation in a Panel Session
In this paper, the authors apply models extracted from the Many-Body Quantum Mechanics to understand how knowledge production is correlated to the innovation potential of a work team. This study is grounded in key assumtpions. First, complexity theory applied to social science suggests that it is of paramount importance to consider elements of non-...
The rising of the knowledge economy, enhanced by the fast diffusion of ICTs, drives a wider perspective on the divide among Countries, interpreting it more and more as the result of an asymmetry in the access to knowledge and in the readiness to apply it in order to renew the basics of their development dynamics. Looking at the Mediterranean Area,...
Advances in communication technologies have enabled organizations to develop and operate decentralized organizational structures by supporting coordination among workers in different locations. Such developments have lessened formality in control structures and replaced formal channels of communication with less formal social networks. The chapter...
This paper describes the application of a scorecard, based on social network analysis, to monitor the evolution of knowledge flows. This scorecard helps organizations to identify new ways to optimize knowledge flows by combining communication media that match their working environments. Three case studies were conducted: one within an Italian Resea...
We measured interpersonal perception accuracy by focusing on the relationship between actors’ centrality and their ability to accurately report their social interactions. We used the network measures of actors’ betweenness centrality and degree centrality to identify the most prominent members by correlating ego-perception and alter-perception in a...
This research aims at the application of the models extracted from the many-body quantum mechanics to describe social dynamics.
It is intended to draw macroscopic characteristics of communities starting from the analysis of microscopic interactions with
respect to the node model. In the aim to experiment the validity of the proposed mathematical mo...
This paper presents an integrated model to monitor and evaluate web 2.0 project-based learning through its application in
a real higher education environment. Creating communities in the classroom has been the traditional method of engaging students.
The web 2.0 technologies are changing the way learning communities interact. We designed a Social C...
This article describes the Applied Learning Laboratory (ALL), a model-based on a learner-centered approach for developing Managerial Competencies that takes advantage of the benefits of web 2.0 technologies. Within the ALL, a collaborative platform including blogs, wikis, Really Simple Syndication (RSS) feeds and folksonomy, supports cooperative le...
This paper develops an understanding of how Web 2.0 applications can be utilised to support a Project-Based Learning (PBL) approach. Creating communities in the classroom has been the traditional method of engaging students. Web 2.0 technologies are changing the way dispersed learning communities interact. To provide preliminary evidence on this, w...
Any purposeful organization can be understood as a value network. The main goal of this network is to deliver the highest value from the interdependencies between nodes. Improvement in this domain requires to increase efficiency, response time, knowledge availability and knowledge storing. One of the most interesting research topics in the field of...
This paper describes a model to monitor the evolution of a learning network in higher education settings through the analysis of the value created in terms of intellectual capital, described as human, social and structural capital. The dynamics of the network will be mapped looking at reports elaborated by learners and tutors during the research pr...
In the last three decades, the transformation processes experienced by industrialized countries radically changed the international economic and social structure. A relatively new approach to interpret and frame the meaning of these changes is provided by the neo-Schumpeterian analysis. This field of the economic literature investigates the dynamic...