Auditors’ Joint Engagements and Audit Quality: Evidence from Italian Private Companies

This study examines the effect of auditors’ collaboration in joint audit engagements on knowledge transfer, auditor expertise, and audit outcomes. I employ a unique sample of Italian private companies whose financial statements are jointly audited by three individual auditors and use measures from the network literature to capture the intensity of interactions between these auditors. I find a positive association between several audit quality proxies and auditors’ collaboration in multiple joint engagements. My results suggest that auditors develop knowledge and contacts through collaboration which potentially leads to higher audit quality. Overall, my findings suggest that joint engagements facilitate knowledge transfer and increase auditor expertise.     

Model building and estimation strategies for implementing the Balanced Scorecard in Health sector

Over last two decades, the concept of the Balanced Scorecard has had broad application by the health sector internationally, including Hospitals systems and national healthcare systems or organizations. However, the lack of literature on causal-effect relationships between different types of dimensions and indicators poses difficulty in conceptualising and implementing a quality evaluation system based on Balanced Scorecard. Methodologically, the most natural context for Balanced Scorecard conceptualization and estimation deals with Structural Equation Models with latent variables. Partial Least Squares Path Modelling has found increased applications, thanks to its ability to handle complex models. However, the lack of a global optimization criterion makes it difficult to evaluate this procedure. The aim of this article is to propose a methodological conceptualization of the Balanced Scorecard in a new context, as the Health sector, using a suitable statistical approach to estimate causal relationships among specified latent dimensions, together with a model building strategy, a necessary step when expert knowledge is too weak to build a robust and well suited model. Specifically, within the Structural Equation Models framework a two-step model building strategy is presented; the first step build the measurement models based on a clustering (around latent variables) technique and the second step build the structural model based on partial correlations and a procedure that selects the best model in terms of predictive power, measured by the mean of the R ² for the endogenous latent variables. Finally, an application based on administrative archives of Lombardy region (Italy) illustrates the presented methodology.     

Adaptive rational equilibrium with forward looking agents

In adaptive rational equilibrium dynamics (ARED) agents choose between a costly rational expectation forecast and a cheap naive forecast, and the fractions using each of the two strategies evolve over time and are endogenously coupled to the market equilibrium price dynamics. In this setting, agents are backward looking in the sense that strategy selection is based on experience measured by relative past realized profits. When the selection pressure to switch to the more profitable strategy is high, instability and complicated chaotic price fluctuations arise.
In this paper we investigate the ARED with forward looking agents, whose strategy selection is based upon expected profits. Our findings suggest that forward looking behavior dampens the amplitude of price fluctuations, but local instability of the steady state remains. The global dynamics depends upon how sophisticated the forward looking behavior is. With perfectly forward looking agents, prices converge to a stable 2-cycle, whereas with forward looking agents who are boundedly rational concerning their estimate of expected profits, small amplitude chaotic price fluctuations might arise.
We also establish an equivalence relationship between a heterogeneous agent model with switching of strategies and a representative agent framework, where the representative agent optimally chooses between the benefits of a high quality forecast and the associated information gathering costs. To an outside observer it is impossible to distinguish between the two.     

How Does Information Quality Affect Stock Returns?

Using a simple dynamic asset pricing model, this paper investigates the relationship between the precision of public information about economic growth and stock market returns. After fully characterizing expected returns and conditional volatility, I show that (i) higher precision of signals tends to increase the risk premium, (ii) when signals are imprecise the equity premium is bounded above independently of investors' risk aversion, (iii) return volatility is U-shaped with respect to investors' risk aversion, and (iv) the relationship between conditional expected returns and conditional variance is ambiguous.     

Do larger severance payments increase individual job duration?

This paper analyzes the effect of severance payments on the probability of separation at given tenure, wages and other individual and firm characteristics. It studies a mandatory deferred wage scheme of the Italian labour market (Trattamento di Fine Rapporto, TFR). Deferred wages increase job duration if two conditions hold: wages are rigidly set outside the employer-employee relationship, and past provisions are accumulated at interest rates that are below market rates. Under such circumstances, workers who withdraw from their accumulated stock of unpaid wages should experience, at given tenure, a subsequent increase in the probability of separation. This prediction appears empirically robust and quantitatively sizeable. A withdrawal of 60% of the TFR stock (the median observed withdrawal) increases the instantaneous hazard rate by almost 20%. In other words, an individual with at least ten years of tenure that experiences an early withdrawal increases his/her hazard rate from 10% to about 12%. The empirical result takes into account the existence of unobserved heterogeneity and a variety of further robustness tests.     

Scale effects in endogenous growth theory: an error of aggregation not specification

Modern Schumpeterian growth theory focuses on the product line as the main locus of innovation and exploits endogenous product proliferation to sterilize the scale effect. The empirical core of this theory consists of two claims: (i) growth depends on average employment (i.e., employment per product line); (ii) average employment is scale invariant. We show that data on employment, R&D personnel, and the number of establishments in the US for the period 1964–2001 provide strong support for these claims. While employment and the total number of R&D workers increase with no apparent matching change in the long-run trend of productivity growth, employment and R&D employment per establishment exhibit no long-run trend. We also document that the number of establishments, employment and population exhibit a positive trend, while the ratio employment/establishment does not. Finally, we provide results of time series tests consistent with the predictions of these models.     

Perceptions of Industrial Design: The “Means” and the “Ends”

It is widely accepted that industrial design can play an important role in the development of innovative products, but integrating design‐thinking into new product development (NPD) is a challenge. This is because industrial designers have very different perspectives and goals than the other members of the NPD team, and this can lead to tensions. It has been postulated that the communications between NPD managers and industrial designers are made more difficult because each group uses very different language. This research made the first empirical investigation of the language used by designers and managers in describing “good” and “poor” industrial design. In‐depth interviews were conducted with a sample of 19 managers and industrial designers at five leading companies. Multiple sources of data were utilized, including the repertory grid technique to elicit the key attributes of design, from the perspective of managers and designers. Using a robust, systematic coding approach to maximize the validity and reliability of qualitative data analysis, it was established that managers and industrial designers do not use a completely different vocabulary as previously supposed. Rather, it was found that managers and industrial designers use some common terms augmented by additional terms that are specific to each group: managers are commercially orientated in the “ends” they want to achieve and designers perceive more antecedents (“means”) necessary to achieve their “ends”—iconic design. This research led to a grounded conceptual model of the role of design, as perceived by managers and industrial designers. The implications of the results achieved are wide: they indicate how managers and designers can interact more productively during NPD; they highlight the need for more research on the language of designers and managers; and they point to issues that need to be covered in the education of industrial designers. Finally, this work suggests how managers and designers can engage in a more fruitful dialogue that will help to make NPD more productive.     

The process of supply network internationalisation

This paper explores the process that dynamically links the why's, how's and what's of supply network internationalisation. We propose a conceptual framework that adapts and extends the Uppsala internationalisation model and apply it to analyse nine case studies of Italian footwear and apparel companies involved in relocating some segments of their supply networks to Romania. Consistently with behavioural theories, our findings confirm that internationalisation is an incremental process in which firms gradually increase their international exposure and involvement. However, differently from the Uppsala establishment chain internationalisation model, our cross-case analysis suggests a different typology of supply network internationalisation processes: (1) traditional subcontracting, (2) co-ordinated subcontracting, and (3) supply system relocation. We discuss the theoretical and managerial implications of these findings and suggest directions for further research.