A non-parametric statistical model for the control of Italian insurance companies

The problem of evaluating the solvency of insurance companies is tackled through the use of a non-parametric statistical model, constructed using decision-tree techniques. The model is tested on a sample of Italian non-life insurance companies and its performance over the test period compared with those of linear and quadratic parametric models.

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Riassunto Il problema della valutazione della solvibilità delle imprese di assicurazione è affrontato con l'impiego di un modello statistico non parametrico, costruito con le tecniche degli alberi delle decisioni. Viene proposta una sperimentazione del modello su un campione di imprese assicuratrici italiane operanti nei rami nonvita ed effettuata una analisi comparata intertemporale con gli standards di efficienza registrati su modelli parametrici lineare e quadratico.

     

Strategic design and operational management optimization of a multi stage physical distribution system

Design and management of logistic networks is one of the most critical issues in supply chain management. However, the literature does not contain any effective models, methods, and applications that simultaneously support management decisions in the strategic design of the distribution system, in the operational planning and organization of vehicles, and in container trips organization adopting different modes of transportation. The aim of this paper is to illustrate an original framework for the design and optimization of a multi echelon and multi level production/distribution system that combines mixed-integer linear programming modeling with cluster analysis, heuristic algorithms, and optimal transportation rules. A significant case study is illustrated revealing the effectiveness of the approach and tools proposed.     

Do investors find carbon information useful? Evidence from Italian firms

The usefulness of carbon disclosures has been questioned in the literature because they do not truly reflect firm’s carbon performance, suggesting that they may not be useful for risk evaluation and investment decisions. This study empirically tests the usefulness of carbon information voluntarily disclosed by the Italian firms. Our results based on the price model show that there is a positive association between the stock price and carbon disclosures, suggesting that investors find carbon information useful for their investment decisions. We find similar results based on the market valuation model. Additionally, the results reveal that the positive association is especially strong for firms that have established environmental committees on a voluntary basis and also for firms from the highly polluting industries defined by the EU_ETS program, confirming that investors’ positive response is especially strong to carbon disclosures by firms from the highly polluting industries. We also find that the market reacts positively to carbon disclosures by firms with a higher percentage of independent directors on their corporate boards, but the positive association is marginally significant.     

Technological change and the vertical organization of industries

The vertical scope of a firm, that is, which components or segments of the production processes are kept in–house and which are outsourced, is variously considered as depending on cost and/or technological conditions. Most of the literature focuses on the incentives for an individual firm facing exogenous competition and technological opportunities. In this paper we consider the problem from the perspective of the whole industry: in what respect does firm organizational behavior depend on the industry technological evolution and aggregate structure, and how does innovation and organizational behavior affect the industry structure. We build an evolutionary simulation model of an industry where competitors decide the number of internally produced components. We relate the industry average value of market outsourcing to the technological conditions prevalent in the industry. The results from the model shed light on a number of (apparently) contradictory suggestions in the economic and management literature.     

Active Labour Market Policy by a Profit‐Maximizing Firm

This article investigates the effectiveness of an employment programme exclusively run by a private sector firm in order to find out whether such a programme can be beneficial to both the participating individuals and the private firm. To answer these questions, we use a unique dataset on a private employment programme covering 23 years of operations and data on 1,000 participating unemployed individuals. Using conservative estimates, we show that a private employment programme is more effective in reintegrating the unemployed than public efforts, while providing tangible benefits to the firm.     

Insurance fraud detection: A statistically validated network approach

Fraud is a social phenomenon, and fraudsters often collaborate with other fraudsters, taking on different roles. The challenge for insurance companies is to implement claim assessment and improve fraud detection accuracy. We developed an investigative system based on bipartite networks, highlighting the relationships between subjects and accidents or vehicles and accidents. We formalize filtering rules through probability models and test specific methods to assess the existence of communities in extensive networks and propose new alert metrics for suspicious structures. We apply the methodology to a real database—the Italian Antifraud Integrated Archive—and compare the results to out-of-sample fraud scams under investigation by the judicial authorities.     

BRAND ACTIVISM: A Literature Review and Future Research Agenda

Brand activism is a new and fragmented phenomenon that has been attracting growing attention from scholars. Research on this topic is still at an exploratory stage and in need of advancement and conceptualization. The aim of this study is to systematize the extant literature on brand activism by attempting an in-depth exploration of the antecedents that identify the construct along with the influencing and consequence factors that will need to be tested and validated by future research. This study adopts the guidelines provided by the SPAR-4-SLR protocol and considers 76 papers with no time limitation. To the best of our knowledge, this seems to be the first scientific systematization of brand activism. From the in-depth analysis of the extant literature, two conceptual frameworks were constructed that can guide both researchers, in their understanding and investigation of the phenomenon, and practitioners in their implementation strategies of brand activism. The no time restriction of the analysis has allowed an investigation of the phenomenon from its prodromes until recent years, also highlighting important gaps that will have to be filled by future research.     

The effect of utilitarian and hedonic motivations on mobile shopping outcomes. A cross-cultural analysis

Mobile devices are ubiquitous in the lives of modern consumers, who use them for information-seeking and purchasing activities, fostering the emergence of m-commerce. This trend has been exacerbated by the COVID-19 pandemic, which has boosted m-commerce growth in both developed and developing countries. Hence, there is a need for cross-cultural research concerning the factors affecting behavioural intentions. Drawing upon the hedonic information systems model, we measure the impact of utilitarian factors on satisfaction, repurchase intention, and eWOM through the mediation of enjoyment across two countries characterized by different stages of m-commerce readiness and culture: China and Italy. Findings suggest that the impact of utilitarian factors on satisfaction is stronger among Italian users than Chinese users. On the contrary, for Chinese users, who use their mobile phones as a primary device to shop online, the mediation effect of enjoyment on satisfaction and eWOM is stronger. With this study, we contribute to cross-cultural research in m-commerce and provide guidelines to mobile retailers operating in diverse international markets.     

Does information asymmetry predict audit fees?

This study investigates whether and how information asymmetry in the stock market affects the quantum of audit fees paid by auditees. It is based on a sample of 218 US publicly traded companies and adopts two well-established proxies for information asymmetry, namely bid-ask spread (BAS) and probability of informed trading (PIN). Empirical results provide evidence that, after controlling for all main audit fees determinants, information asymmetry is positively related to the quantum of audit fees paid. Overall, evidence supports the contention that less transparent companies convey higher audit risk, and therefore auditors require higher compensation.