Big Data for Creating and Capturing Value in the Digitalized Environment: Unpacking the Effects of Volume,Variety, and Veracity on Firm Performance*

Despite significant academic and managerial interest in big data, there is a dearth of research on how big data impacts the long‐term firm performance. Reasons for this gap include a lack of objective indices to measure big data availability and its impact, and the tendency of studies to ignore the costs associated with collecting and analyzing big data, assuming that big data automatically delivers benefits to firms. Focusing on how firms create and capture value from big data about customers, we use the resource‐based view and three dimensions of big data (i.e., volume, variety, and veracity) to understand when the benefits outweigh the costs. Relying on the number of downloads of mobile device applications, we find that volume of big data has a negative effect on firm performance. This result suggests that the “bigness” of big data alone does not ensure value creation for a firm, and could even constitute a “dark side” of big data. Because big data variety—measured as the number of types of information taken per each application—moderates the negative effects of big data volume, simultaneous high values of volume and variety allow firms to create value that positively affects their performance. In addition, high levels of veracity (i.e., a high percentage of employees devoted to big data analysis), are linked to firms benefiting from big data via value capture. These findings shed light on the circumstances in which big data can be beneficial for firms, contributing to a better theoretical understanding of the opportunities and challenges and providing useful indications to managers.     

The environmental benefits of changing logistics structures for fresh vegetables

The transport phase is one of the crucial stages that can be improved to reduce the environmental impact of the fresh fruit and vegetable supply chain. In this paper, we calculate the environmental impact of feasible logistic alternatives for the above-mentioned supply chain so as to identify the type of transportation that incurs the lowest environmental costs. Specifically, we consider the early potato supply chain as a case study, as it involves one of the main fresh vegetables exported from Italy. Consumers' willingness to pay for the environmental impact of different logistic chains was obtained through life cycle assessment. Our results show that rail transport could reduce environmental impact in terms of tons of oil equivalent, environmental loads, and fuel consumption while ensuring reasonable shipment times. Development of an efficient rail transport system would be positively considered by consumers, enhancing their preferences for Italian products.     

Change vs. decline: A comparative analysis of the evolution of TFP in Italian regions,with a particular attention to the case of Turin

Recently a debate emerged in Italy, about the changing pattern of specialization in the sectors traditionally considered as cornerstones of the national economy. Such changes are far from representing a hopeless process of decline. Rather this process should be regarded as a step in a process of structural change, in which one can find the ingredients of creative destruction. This leads to spell out the hypothesis that the Italian economy has been taking a new direction, rather than a dead-end. In this paper we carry out an analysis of the evolution of Total Factor Productivity in the different macro-sectors at the regional level, over the period 1982-2001. The results of the analysis confirm the existence of a generalized process of transition characterized by the growing weight of service sectors. Within the Piedmont region, the case of Turin is of paramount importance, as it has influenced the national economy since the early decades of the 20^th century. (JEL: O41, O47)     

Stochastic stability in networks with decay

This paper considers a stylized model of network formation in which relations among agents are subject to frictions, as described in Bala and Goyal [A non cooperative model of network formation, Econometrica 68 (2000) 1181-1231]. We analyze the process of network formation in a dynamic framework where self-interested individuals can form or delete links and, occasionally, make mistakes. Then, using stochastic stability, we identify the network structures to which the formation process will converge.     

Revisiting the case for a populist central banker

It is known that discretionary policy may give rise to an inflationary bias if wages are negotiated in nominal terms. In a recent issue of this Review, Guzzo and Velasco argued that this bias can be eliminated, and welfare maximized, by the appointment of a central banker who does not care at all about inflation (a ‘populist’ central banker). A conceptual flaw of the latter result is identified here. It is shown that when wages are negotiated in nominal terms the result is true only in the special case of a single, all-encompassing, union. In the more general case of multiple unions, however, inflation increases linearly with their number and a populist central bank may turn out to decrease welfare.     

Exploring efficient sets and equilibria on risky assets with APABO DSS prototype version 2.1

ABAPO 2.1 (Assets/Business(es) Analyser and Portfolio Optimizer) is a DSS prototype for portfolio managers. It assists the decision maker in two important stages of his task. First, it provides an integrated synthesis of the returns scenario in order to support the decision maker in the selection of the assets to retain, in accordance with his strategy. Second, on the retained assets it computes and shows the E- efficient solutions. For each efficient portfolio ABAPO supplies immediately a lot of information that should help the decision maker to single out the portfolio which fits his goals best.ABAPO works on an integration of elements derived from the Portfolio Selection Theory, the Capital Asset Pricing Model, the Utility Theory. ABAPO uses the principal component, the univariate, the bivariate regression and the correlation analysis, a parametric quadratic programming model and an algorithm based on the critical line method.ABAPO is implemented in C language under AIX operating system and runs on a IBM RT PC 6150. It is a ductile, interactive procedure that involves graphics in order to increase the efficiency and the effectiveness of the what if simulations.This version 2.1 improves upon the previous one by the evaluation of the Security Market Line, some statistics on the returns of the efficient portfolios, the evaluation of the quadratic indifference curves associated to the efficient portfolios.Research supported by the Italian National Research Council (CNR), grant n. 88.03065.10. ABAPO DSS 2.1 prototype has been developed with the support of the CNR (grant n. 87.1210.10), of the Banca Popolare di Verona, of the Cassa di Risparmio di Verona Vicenza e Belluno, of the Società Cattolica di Assicurazione, at the Istituto di Matematica, Università di Verona.     

Marketing mix and customer equity of SPA brands:Cross-cultural perspectives

Globalization has substantially transformed the fashion industry. Firms that conduct innovative marketing campaigns for SPA brands, also known as fast fashion, are operating worldwide. Because SPA brands tend to have short trend cycles, corporate profitability is sensitive to consumers' attitudinal changes. The authors of this study establish a theoretical framework by examining research trends related to customer equity at home and abroad by delving into the current state of global SPA brands, defining customer equity, developing customer equity measurements, and conducting empirical analyses. This study uses structural equation models to analyze corporate marketing activity effects on customer lifetime value through brand attitude. Although earlier studies identify customer equity as driving value equity, brand equity, and relationship equity, the authors introduce social network equity as another driver.     

MODELING THE EVOLUTION OF EXPECTATIONS AND UNCERTAINTY IN GENERAL EQUILIBRIUM

We develop methods to solve general equilibrium models in which forward‐looking agents are subject to waves of pessimism, optimism, and uncertainty that turn out to critically affect macroeconomic outcomes. Agents in the model are fully rational and conduct Bayesian learning, and they know that they do not know. Therefore, agents take into account that their beliefs will evolve according to what they will observe. This framework accommodates both gradual and abrupt changes in beliefs and allows for an analytical characterization of uncertainty. We use a prototypical Real Business Cycle model to illustrate the methods.     

Green start-ups and local knowledge spillovers from clean and dirty technologies

Small Business Economics - There is wide consensus about the importance of green technologies in achieving superior economic and environmental performances. However, the literature on their...