Essays on durable goods consumption and firm innovation

This dissertation comprises three individual chapters. Chapter Two examines how free riding across neighbors influenced the diffusion of color television sets in rural China. Chapter Three tests for asymmetric information between a firm’s management and other investors concerning its patent output. Chapter Four discusses how knowledge stocks influence a patenting firm’s later diversification. Chapter Two documents the existence of a type of network effects—free riding across neighbors—in the consumption of color television sets in rural China, which reduces the propensity of non-owners to purchase. I construct a model of the timing of the purchase of a durable good in the presence of free riding, and test its key implications using household survey data in rural China. Chapter Three tests for asymmetric information between a firm’s management and other investors about its patent output by examining insider trading patterns and stock price changes in R&D intensive firms. It demonstrates that management has considerable information about its patent output beyond what is known to investors. It also shows that the predictive power of insider trading patterns on patent output comes from purchases rather than sales. Chapter Four discusses two sequential channels through which knowledge stocks may influence a firm’s later diversification. One is that firms with more knowledge are more likely to enter a new industry. The other is that firms’ businesses have a better chance of surviving, conditional on being formed. By examining U.S. public patenting firms in manufacturing sectors for 1984-1996, I find that knowledge stocks predict the likelihood of new industry entry when controlling for firm size. However, this predictive power is weakened when diversification effects are included. On the other hand, a survival study of newly established segments shows that initial knowledge stocks have significant positive effects on segment survival, whereas diversification effects are insignificant.

The effects of conflict in driving forward innovation in shared leadership management consultant teams

It is argued in this study that current investigations of the role of conflict in shared leadership teams and, thus, teams in which all members have the opportunity to participate in its decision-making process are insufficient as they have focused on the downsides of these conflicts. This study demonstrates that task conflict is beneficial in that it can have positive effects on innovation in teams. It shows that particularly in shared leadership management consultant teams task conflict can stimulate innovation. Therefore, this research investigates the relationships among shared leadership, conflict and innovation. The research develops and empirically tests a conceptual model which demonstrates the relationships between these concepts and for which the inclusion of multiple research methods was essential. The sequential explanatory approach included a combination of quantitative and qualitative methods, the order of which can be adapted for other domains of application. The conceptual model was first tested with a sample of 329 management consultants. This was followed by 25, in-depth, face-to-face interviews conducted with individual survey respondents. In addition, weekly meetings of a management consultant team in action were video recorded over several months. This allowed for an in-depth explanation of the findings from the survey by providing an understanding of the underlying processes. The inclusion of observational methods provided a validating role and explained how and why conflicts contributed to the development of team innovation, through the analysis of subtleties and fleeting disagreements in a real-life management consultant team. The results deliver an assessment of the theoretical model and demonstrate that task conflict can allow for additional innovation in management consultant teams operating under a shared leadership structure. A practical model and guidelines for management consultant teams wanting to enhance their innovatory capacities are provided. In addition, a novel-user methodology which includes video observations is developed, with recommendations and steps aiding researchers aiming to employ a similar combination of methods. An original contribution to knowledge is made regarding the positive effects that task conflict can have towards innovation in shared leadership teams. Collaboration and trust are identified as important mediators between shared leadership and task conflict and significant regarding the development of innovation. The effectiveness of shared leadership in reducing negative relationship conflict and the benefits of both shared leadership and task conflict in enhancing innovation are demonstrated.

Modeling Individual Differences among Writers Using ReaderBench

The current study builds upon a previous study, which examined the degree to which the lexical properties of students’ essays could predict their vocabulary scores. We expand on this previous research by incorporating new natural language processing indices related to both the surface- and discourse-levels of students’ essays. Additionally, we investigate the degree to which these NLP indices can be used to account for variance in students’ reading comprehension skills. We calculated linguistic essay features using our framework, ReaderBench, which is an automated text analysis tools that calculates indices related to linguistic and rhetorical features of text. University students (n = 108) produced timed (25 minutes), argumentative essays, which were then analyzed by ReaderBench. Additionally, they completed the Gates-MacGinitie Vocabulary and Reading comprehension tests. The results of this study indicated that two indices were able to account for 32.4% of the variance in vocabulary scores and 31.6% of the variance in reading comprehension scores. Follow-up analyses revealed that these models further improved when only considering essays that contained multiple paragraph (R2 values = .61 and .49, respectively). Overall, the results of the current study suggest that natural language processing techniques can help to inform models of individual differences among student writers.

Scaling up strategies of the chronic respiratory disease programme of the European Innovation Partnership on Active and Healthy Ageing (Action Plan B3: Area 5)

Action Plan B3 of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) focuses on the integrated care of chronic diseases. Area 5 (Care Pathways) was initiated using chronic respiratory diseases as a model. The chronic respiratory disease action plan includes (1) AIRWAYS integrated care pathways (ICPs), (2) the joint initiative between the Reference site MACVIA-LR (Contre les MAladies Chroniques pour un VIeillissement Actif) and ARIA (Allergic Rhinitis and its Impact on Asthma), (3) Commitments for Action to the European Innovation Partnership on Active and Healthy Ageing and the AIRWAYS ICPs network. It is deployed in collaboration with the World Health Organization Global Alliance against Chronic Respiratory Diseases (GARD). The European Innovation Partnership on Active and Healthy Ageing has proposed a 5-step framework for developing an individual scaling up strategy: (1) what to scale up: (1-a) databases of good practices, (1-b) assessment of viability of the scaling up of good practices, (1-c) classification of good practices for local replication and (2) how to scale up: (2-a) facilitating partnerships for scaling up, (2-b) implementation of key success factors and lessons learnt, including emerging technologies for individualised and predictive medicine. This strategy has already been applied to the chronic respiratory disease action plan of the European Innovation Partnership on Active and Healthy Ageing.

HRM and Innovation: A Multi-level Organizational Learning Perspective

Drawing on the 4I organizational learning framework (Crossan et al., 1999), this article develops a model to explain the multi-level and cross-level relationships between HRM practices and innovation. Individual, team, and organizational level learning stocks are theorized to explain how HRM practices affect innovation at a given level. Feed-forward and feedback learning flows explain how cross-level effects of HRM practices on innovation take place. In addition, we propose that HRM practices fostering individual, team, and organizational level learning should form a coherent system to facilitate the emergence of innovation. The article is concluded with discussions on its contributions and potential future research directions.

Citizen science and natural resource governance: program design for vernal pool policy innovation

Effective natural resource policy depends on knowing what is needed to sustain a resource and building the capacity to identify, develop, and implement flexible policies. This retrospective case study applies resilience concepts to a 16-year citizen science program and vernal pool regulatory development process in Maine, USA. We describe how citizen science improved adaptive capacities for innovative and effective policies to regulate vernal pools. We identified two core program elements that allowed people to act within narrow windows of opportunity for policy transformation, including (1) the simultaneous generation of useful, credible scientific knowledge and construction of networks among diverse institutions, and (2) the formation of diverse leadership that promoted individual and collective abilities to identify problems and propose policy solutions. If citizen science program leaders want to promote social-ecological systems resilience and natural resource policies as outcomes, we recommend they create a system for internal project evaluation, publish scientific studies using citizen science data, pursue resources for program sustainability, and plan for leadership diversity and informal networks to foster adaptive governance.

Connecting people and ideas from around the world: global innovation platforms for next-generation ecology and beyond

We present a case for using Global Community Innovation Platforms (GCIPs), an approach to improve innovation and knowledge exchange in international scientific communities through a common and open online infrastructure. We highlight the value of GCIPs by focusing on recent efforts targeting the ecological sciences, where GCIPs are of high relevance given the urgent need for interdisciplinary, geographical, and cross-sector collaboration to cope with growing challenges to the environment as well as the scientific community itself. Amidst the emergence of new international institutions, organizations, and meetings, GCIPs provide a stable international infrastructure for rapid and long-term coordination that can be accessed by any individual. This accessibility can be especially important for researchers early in their careers. Recent examples of early-career GCIPs complement an array of existing options for early-career scientists to improve skill sets, increase academic and social impact, and broaden career opportunities. We provide a number of examples of existing early-career initiatives that incorporate elements from the GCIPs approach, and highlight an in-depth case study from the ecological sciences: the International Network of Next-Generation Ecologists (INNGE), initiated in 2010 with support from the International Association for Ecology and 20 member institutions from six continents.

Interorganizational Innovation: The Role of Suppliers in Enhancing Buyer Innovation

This dissertation explores the effect of innovative knowledge transfer across supply chain partners. My research seeks to understand the manner by which a firm is able to benefit from the innovative capabilities of its supply chain partners and utilize the external knowledge they hold to increase its own levels of innovation. Specifically, I make use of patent data as a proxy for firm-level innovation and develop both independent and dependent variables from the data contained within the patent filings. I further examine the means by which key dyadic and portfolio supply chain relationship characteristics moderate the relationship between supplier innovation and buyer innovation. I investigate factors such as the degree of transactional reciprocity between the buyer and supplier, the similarity of the firms’ knowledge bases, and specific chain characteristics (e.g., geographic propinquity) to provide greater understanding of the means by which the transfer of innovative knowledge across firms in a supply chain can be enhanced or inhibited. This dissertation spans three essays to provide insights into the role that supply chain relationships play in affecting a focal firm’s level of innovation. While innovation has been at the core of a wide body of research, very little empirical work exists that considers the role of vertical buyer-supplier relationships on a firm’s ability to develop new and novel innovations. I begin by considering the fundamental unit of analysis within a supply chain, the buyer-supplier dyad. After developing initial insights based on the interactions between singular buyers and suppliers, essay two extends the analysis to consider the full spectrum of a buyer’s supply base by aggregating the individual buyer-supplier dyad level data into firm-supply network level data. Through this broader level of analysis, I am able to examine how the relational characteristics between a buyer firm and its supply base affect its ability to leverage the full portfolio of its suppliers’ innovative knowledge. Finally, in essay three I further extend the analysis to explore the means by which a buyer firm can use its suppliers to enhance its ability to access distant knowledge held by other organizations that the buyer is only connected to indirectly through its suppliers.

Innovation dynamics in rural areas: contributions to capture and measure innovation, valuing territorial specificities

Doutoramento em Gestão Interdisciplinar da Paisagem - Instituto Superior de Agronomia / Universidade dos Açores / Universidade de Évora

HRM and innovation:looking across levels

Studies are starting to explore the role of HRM in fostering organizational innovation but empirical evidence remains contradictory and theory fragmented. This is partly because extant literature by and large adopts a unitary level of analysis, rather than reflecting on the multi-level demands that innovation presents. Building on an emergent literature focused on HRM’s role in shaping innovation, we shed light on the question of whether, and how, HRM might influence employees’ innovative behaviours in the direction of strategically important goals. Drawing upon institutional theory, our contributions are three-fold: to bring out the effect of two discrete HRM configurations- one underpinned by a control and the other by an entrepreneurial ethos, on attitudes and behaviours at the individual level; to reflect the way in which employee innovative behaviours arising from these HRM configurations coalesce to shape higher-level phenomena, such as organizational-level innovation; and to bring out two distinct patterns of bottom-up emergence, one driven primarily by composition and the other by both composition and compilation.

Scaling up strategies of the chronic respiratory disease programme of the European Innovation Partnership on Active and Healthy Ageing (Action Plan B3: Area 5)

Action Plan B3 of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) focuses on the integrated care of chronic diseases. Area 5 (Care Pathways) was initiated using chronic respiratory diseases as a model. The chronic respiratory disease action plan includes (1) AIRWAYS integrated care pathways (ICPs), (2) the joint initiative between the Reference site MACVIA-LR (Contre les MAladies Chroniques pour un VIeillissement Actif) and ARIA (Allergic Rhinitis and its Impact on Asthma), (3) Commitments for Action to the European Innovation Partnership on Active and Healthy Ageing and the AIRWAYS ICPs network. It is deployed in collaboration with the World Health Organization Global Alliance against Chronic Respiratory Diseases (GARD). The European Innovation Partnership on Active and Healthy Ageing has proposed a 5-step framework for developing an individual scaling up strategy: (1) what to scale up: (1-a) databases of good practices, (1-b) assessment of viability of the scaling up of good practices, (1-c) classification of good practices for local replication and (2) how to scale up: (2-a) facilitating partnerships for scaling up, (2-b) implementation of key success factors and lessons learnt, including emerging technologies for individualised and predictive medicine. This strategy has already been applied to the chronic respiratory disease action plan of the European Innovation Partnership on Active and Healthy Ageing.

Formare competenze per gestire processi di Open Innovation. Uno studio di caso.

Per comprende più a fondo il problema che le aziende affrontare per formare le persone in grado di gestire processi di innovazione, in particolare di Open Innovation (OI), è stato realizzato nel 2021 uno studio di caso multiplo di un percorso di educazione non formale all’OI realizzato dalla società consortile ART-ER e rivolto ai dottorandi degli atenei emiliano-romagnoli. Nella seconda fase di tale percorso formativo, per rispondere alle sfide di OI lanciate dalle aziende, sono stati costituiti 4 tavoli di lavoro. A ciascun tavolo di lavoro hanno preso parte 3/4 dottorandi, due referenti aziendali, un consulente e un operatore di ART-ER. Il campione complessivo era costituito da 14 dottorandi; 8 referenti aziendali di quattro aziende; 4 membri di una società di consulenza e 4 operatori della società consortile ART-ER. Il seguente interrogativo di ricerca ha guidato l’indagine: l’interazione tra i soggetti coinvolti in ciascun tavolo di lavoro – considerato un singolo caso - si configura come una Comunità di Pratica in grado di favorire lo sviluppo di apprendimenti individuali funzionali a gestire i processi di OI attivati nelle imprese? I dati sono stati raccolti attraverso una ricerca documentale a tavolino, focus group, interviste semistrutturate e un questionario semistrutturato online. L’analisi dei dati è stata effettuata mediante un’analisi qualitativa del contenuto in più fasi con l’ausilio del software MAXQDA. I risultati dimostrano che in tre casi su quattro, i tavoli di lavoro si sono configurati come una Comunità di Pratica. In questi tre tavoli inoltre è emerso lo sviluppo di alcune aree di competenza funzionali alla gestione dei processi di OI. Nella conclusione sono state presentate alcune proposte per la riprogettazione delle future edizioni del percorso formativo.

Big data in health IoE in emergency situations: between the right to privacy and digital health innovation

The chapters of the thesis focus on a limited variety of selected themes in EU privacy and data protection law. Chapter 1 sets out the general introduction on the research topic. Chapter 2 touches upon the methodology used in the research. Chapter 3 conceptualises the basic notions from a legal standpoint. Chapter 4 examines the current regulatory regime applicable to digital health technologies, healthcare emergencies, privacy, and data protection. Chapter 5 provides case studies on the application deployed in the Covid-19 scenario, from the perspective of privacy and data protection. Chapter 6 addresses the post-Covid European regulatory initiatives on the subject matter, and its potential effects on privacy and data protection. Chapter 7 is the outcome of a six-month internship with a company in Italy and focuses on the protection of fundamental rights through common standardisation and certification, demonstrating that such standards can serve as supporting tools to guarantee the right to privacy and data protection in digital health technologies. The thesis concludes with the observation that finding and transposing European privacy and data protection standards into scenarios, such as public healthcare emergencies where digital health technologies are deployed, requires rapid coordination between the European Data Protection Authorities and the Member States guarantee that individual privacy and data protection rights are ensured.

Circumplex Model to analyze the impact of emotions on decision-making processes in innovation management

Group work allows participants to pool their thoughts and examine difficulties from several angles. In these settings, it is possible to attempt things that an individual could not achieve, combining a variety of abilities and knowledge to tackle more complicated and large-scale challenges. That’s why nowadays collaborative work is becoming more and more widespread to solve complex innovation dilemmas. Since innovation isn’t a tangible thing, most innovation teams used to take decisions based on performance KPIs such as forecasted engagement, projected profitability, investments required, cultural impacts etc. Have you ever wondered the reason why sometimes innovation group processes come out with decisions which are not the optimal meeting point of all the KPIs? Has this decision been influenced by other factors? Some researchers account part of this phenomenon to the emotions in group-based interaction between participants. I will develop a literature review that is split into three parts: first, I will consider some emotions theories from an individual perspective; secondly, a wider view of collective interactions theories will be provided; lastly, I will supply some recent collective interaction empirical studies. After the theoretical and empirical gaps have been tackled, the study will additionally move forward with a methodological point of view, about the Circumplex Model, which is the model I used to evaluate emotions in my research. This model has been applied to SUGAR project, which is the biggest design thinking academy worldwide.

I comportamenti degli scienziati nell'Open Innovation in Science: stato dell'arte, definizione dei comportamenti e misurazione tramite KPI

L'Open innovation (OI) rappresenta un concetto complesso, pieno di sfaccettature e dimensioni di analisi. Il seguente elaborato adotta un approccio micro-fondazionale (Abell et al., 2008) al fine di studiare l'Individuo nella sua relazione con questo costrutto. Nello specifico l'obiettivo è quello di studiare comportamenti che l'individuo adotta al fine di perseguire determinati "Social Outcomes"(pratiche di Open innovation implementate a livello di organizzazione). Allo studio dei comportamenti si aggiunge la proposta di un set di KPI, atti a misurarli in modo dinamico. Un driver fondamentale è il focus sul contesto scientifico: nello specifico vengono studiati i comportamenti collaborativi messi in atto da scienziati lungo il processo innovativo (Beck et al., 2022). Lo studio deriva da una meta analisi e interviste etnografiche. L'analisi è stata condotta su Scopus e Scholar dove è stato inserito un ampio set di parole chiave (e.g. ”Open innovation & Measures/scales”, "Open innovation in Science (OIS)", “University-Industry collaboration”, …). Sono stati estratti articoli rilevanti che proponevano scale per misurare diversi costrutti collegati ad OI(Antons et al., 2017) (Boardman and Corley, 2008). Sono stati estratti gli items dalle scale e convertiti in comportamenti relativi alla pratica di OIS, sulla base del framework proposto da Beck et al. (2022). Sono stati ottenuti 48 comportamenti unici da 8 scale diverse: sono stati clusterizzati al fine di ottenere 10 cluster di comportamenti omogenei. La clusterizzazione è stata condotta a partire da una matrice di similarità creata da 5 esperti, sottoposta al Software Ucinet. I cluster così formati sono stati la base per generare un set di 24 kpi, derivanti dai comportamenti, e suddivisi tra i vari cluster. Sono stati definiti 5 ulteriori indicatori a partire da interviste proposte a 13 partecipanti tra ricercatori e professori. Questi ultimi KPI derivano dai valori trainanti per i ricercatori, emersi come insights.