EXPLAINING THE TERRITORIAL ADOPTION OF NEW TECHNOLOGIES - A SPATIAL ECONOMETRIC APPROACH

The notion that Information and Communication Technology would have reduced the economic importance of geographic distance has been proposed with energy in the post-Internet literature (Cairncross, 2001). According to this view, the New Economy would work in a space rather than a place, cost of transport would be drastically reduced, distance would be less important, and peripheral regions would benefit from opportunities that were not available in the economy based on manufacturing industry (Negroponte, 1995; Cairncross, 1997; Kelly, 1998; Compaine, 2001). Since ICT are mostly based on immaterial and human capital investment, regions or areas that have historically suffered from isolation, large cost of transportation, or lack of physical private and public infrastructure might find new paths for growth. Consequently, according to this view, the concentration of income opportunities and wealth should decrease over time. Although other predictions were also present in the debate over the impact of the digital economy (e.g. Norris, 2001; UNDP; 2001), this view was largely dominant. The reality is not so rosy. Not only there are huge disparities in the intensity with which ICT are adopted and used across countries, but also there are still large differences within industrialized countries. Indeed, differences in economic development still shape the rate of the adoption of these technologies, at the firm, regional and country level. The reasons behind these stylized facts have been investigated at length in recent times. This paper contributes to the literature in several ways. First, it focuses on intra-national or regional differences, which is a much less explored dimension of the digital divide. Second, it uses a new metric for the adoption of ICT, namely the number of second level Internet domain names, registered under the ccTLD “.it.”. Finally, it explicitly combines the analysis of determinants with a spatial econometric approach. Thanks to the availability of panel data for both the dependent and the explanatory variables (time period: 1990-2001), spatial and temporal effect are simultaneously taken into account. Panel data techniques that account for temporal correlations are in widespread use while there have been a variety of studies accounting for spatial autocorrelation (see for instance Coughlin et al. 2003; Dubin, 1992; McMillan, 2004). However one of the major drawbacks to many analyses is that they fail to integrate the spatial and temporal correlations that are present in geographical systems (Elhorst, 2003).

Knowledge, Spillovers and Firms’ International Growth. An Analysis at the Italian NUTS 3 Level

In the framework of analyses on the relationship between geography and technological innovation, the role of universities has received considerable attention. Both theoretical and empirical literature has shown that university research positively influences the capacity for innovation of the surrounding firms (Jaffe, 1989; Feldman, 1994; Acs et al, 2002). Universities play a central role in innovation processes both as the main responsible for basic research and also as forgers of human capital’s skills. Empirical work has highlighted that such effects radiate from major university centres crossing borders and administrative boundaries (Anselin et al., 1997). This paper focuses on the relationship between universities and the innovative capacity at the territorial level. Specifically, our empirical analysis investigates whether university research spillovers are highly localised or they rather flow across borders. Empirical literature has widely investigated intensity and directions of such spillovers, mainly within the theoretical framework of Griliches-Jaffe. However, we extend the empirical evidence exploring whether intensity and directions of spillovers depend on universities’ specificities (e.g. size, fields of specialization, fund rising capacity) and on the local absorptive capacity. The analysis is developed at the Italian NUTS3 level, using an explicit spatial econometric approach applied to a knowledge production function. References Acs, Z., Anselin, L., and Varga, A. (2002): “Patents and innovation counts as measures of regional production of new knowledgeâ€, Research Policy 31, pp. 1069-1085. Anselin, L., Varga, A., and Acs, Z. (1997): “Local geographic spillovers between University research and high technology innovationsâ€, Journal of Urban Economics 42, pp. 422-448. Feldman, M. (1994): The Geography of innovation, Kluwer Academic Publishers. Dordrecht. Jaffe, A. (1989): “Real effects of academic researchâ€, The American Economic Review, vol 79, n. 5, pp. 957-970.

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection

The increasing use of electronic forms of communication presents new opportunities in the study of mental health, including the ability to investigate the manifestations of psychiatric diseases unobtrusively and in the setting of patients' daily lives. A pilot study to explore the possible connections between bipolar affective disorder and mobile phone usage was conducted. In this study, participants were provided a mobile phone to use as their primary phone. This phone was loaded with a custom keyboard that collected metadata consisting of keypress entry time and accelerometer movement. Individual character data with the exceptions of the backspace key and space bar were not collected due to privacy concerns. We propose an end-to-end deep architecture based on late fusion, named DeepMood, to model the multi-view metadata for the prediction of mood scores. Experimental results show that 90.31% prediction accuracy on the depression score can be achieved based on session-level mobile phone typing dynamics which is typically less than one minute. It demonstrates the feasibility of using mobile phone metadata to infer mood disturbance and severity.Comment: KDD 201

Let your fingers do the talking: Passive typing instability predicts future mood outcomes

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/143617/1/bdi12637_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/143617/2/bdi12637.pd

Family involvement and firms’ establishment mode choice in foreign markets

Extant literature on foreign entry increasingly recognizes firms’ heterogeneity as a potential reason for inconsistency in results on the establishment mode choice, i.e. whether and under which conditions firms should choose to enter a new country through a greenfield investment or an acquisition. Our study contributes to this debate by identifying family ownership and family involvement in management as potential powerful sources of such heterogeneity. Integrating international business studies with both corporate finance literature on family firms and recent contributions from the Socio Emotional Wealth perspective on family ownership, we claim that, due to greater risk aversion and lower access to information, the family involvement either in the firm ownership and management leads to a higher propensity towards greenfield initiatives (vs. acquisitions). However, we also find that such a propensity decreases with international experience especially in family-owned firms given the greater ability of professionalized management to overcome family-related concerns on making acquisitions. Our analysis on 1,045 foreign initiatives undertaken by 311 Italian family and non-family firms between 2003 and 2013 confirms our expectations – indicating family ownership as a significant driver of international business choices

Expatriates managers' cultural intelligence as promoter of knowledge transfer in multinational companies

This study analyzes the role of the Cultural Intelligence (CQ) of expatriate managers in the processes of Conventional (CKT) and Reverse Knowledge Transfer (RKT) in Multinational Companies (MNCs). The Partial Least Squares-Structural Equation Modeling (PLS-SEM) technique was adopted to analyze the data from a survey of 103 senior expatriate managers working in Croatia. The study reveals how CQ, in all of its four dimensions (metacognitive, cognitive, behavioral, and motivational), acts as a knowledge de-codification and codification filter, assisting managers in the Knowledge Transfer process. The study also reveals how previous international experience does not moderate the positive effect of CQ on both CKT and RKT, offering important theoretical and practical insights to support MNCs in the KT process

Ruleset Minimization in Multi-tenant Smart Buildings

In the last years, many works have proposed Building Management Systems (BMS) or other tools that allowed to actually exploit the smart buildings infrastructures. Such new systems allow users to define their own policies (generally in the shape of rules exploiting logic formulas) to program the building behavior. Multi-user managements is not totally supported in modern BMS though. Multi-tenant implications have not been adequately investigated thus leaving some issues still unsolved. Specifically, a way for minimizing the ruleset keeping its size to the minimum necessary to guarantee the correct behavior of the building is needed. In this paper, a method for minimizing the ruleset of a SmartBuilding will be presented. It has been developed starting from State of the Art boolean logic minimization algorithms that have been firstly introduced in 1950s. Exploiting the knowledge coming from boolean logic circuits and taking into account also the differences with Smart Buildings scenario, a custom algorithm has been conceived. Its effectiveness has been shown by applying it to data collected during an experimental campaign