Chinese investment in the Brazilian soybean sector: Navigating relations of private governance

This paper examines how Chinese agribusiness firms are engaging with established systems of private governance in the Brazilian soybean sector and how that engagement is variously accommodated, contested, and configured by local realities that reflect the uneven history of transnational agribusiness development across the Brazilian agro‐export region. Using qualitative data collected at three research sites that represent different historical moments in the Brazilian agro‐export region (Mato Grosso, Goiás, and Bahia), the paper argues that the social structures underlying the particular agrarian histories of these three subregions create unique contexts Chinese firms must navigate, which in turn shapes their engagement with the private agribusiness regime across space. Although the private agribusiness regime is often portrayed as a top‐down system of governance that subjugates the polity to the demands of capital, this framing neglects to understand how that system of power is contested, negotiated, and reshaped on the ground. These three cases serve to historicize the uneven penetration of Chinese firms across the Brazilian soybean sector.     

Systemic circular business model application at the company,supply chain and society levels—A view into circular economy native and adopter companies

This study contributes to the conceptualization of a sustainable circular business model (CBM), the application of the circular economy (CE) by companies. The study utilized a three-level framework adapted from the CE literature with company (micro), supply chain (meso) and society (macro) levels. This multiple-case study in the textile industry included two types of companies operating in the CE: companies founded on the sustainable principles of a CE (natives) and companies transitioning to a CE from the linear economy (adopters). The findings show that the adopters emphasized long-term economic sustainability on a company level and implemented CE elements to varying degrees on all three levels. The natives pursued business decisions from environmental and social sustainability standpoints, and the three levels were integral in their systemic approach to a CE. The study highlights two key claims: established operational structures and economic volition hindered adopters in their systemic CE implementation, and an integral part of the CBM for natives was a proactive approach towards the society level.     

The Joint Effect of Ethical Idealism and Trait Skepticism on Auditors’ Fraud Detection

Journal of Business Ethics - Although regulators have identified ethical lapses as a key factor contributing to auditors’ failure to detect their clients’ fraudulent financial reporting...     

Capital asset pricing model in Portugal: Evidence from fractal regressions

We examine risk profiles of the Portuguese stock market index component stocks using a novel approach to the classical capital asset pricing model (CAPM). Specifically, we estimate the CAPM via fractal regressions that allow studying the marginal effects at selected scales. In this way, we can reveal whether the risk is perceived differently by market participants with different investment horizons. Apart from the analysis itself, we provide new statistical insights into the issue of separating and comparing the scale-specific effects with statistical validity. We find several stocks deviating from an expected risk perception homogeneity across investment horizons. This is true for both analysed periods, i.e. before and after the global financial crisis. There are also several stocks that changed their relationship to the market portfolio in between, which has strong implications for possible portfolio construction. The proposed methodology is not limited to financial topics but can be used in any discipline where the scale-specific marginal effects might be of interest.     

Business model innovation in a knowledge revolution: An evolutionary theory perspective

For knowledge‐intensive industries, a need remains to increase clarity on the dynamics through which business model innovation occurs. Progress has been limited owing to complexities in these industries and to the underlying ontology of the business model concept itself. Through a conceptual methodology, our findings expose impediments to current business model theory and propose economic evolutionary theory as a useful alternative lens through which to address these limitations. This research contributes to the literature by broadening the traditional scope of the economic evolutionary view as relevant for business model innovation research and by offering a corresponding framework for future research.     

The Structure of Problem Structuring Conversations: A Boundary Games Approach

One of the questions associated with facilitated problem structuring is how the micro level of actors’ multimodal communications, contributes to the emergence of a macro level, framing the possibilities for action in a workshop. This paper shows a way to study this macro level, building the visualization of the conversations’ structure starting from a boundary games theory micro analysis of the interactions. Our empirical evidence comes from following a group of academic consultants working to define a value proposition for their activity. We focus on analyzing two out of nine workshops that were felt diametrically opposite in terms of facilitation and achievements. Moving from the micro towards an upward level, three configurations building the structure are identified—shifting, branching and converging. The work carried out allows us to: (1) visualize the structure of conversations in a problem structuring context, (2) highlight the role of multimodal communications in building the conversations and (3) construct an interpretation bridging the micro and macro readings of a workshop. This knowledge is useful for facilitators guiding the dynamic of a workshop and for researchers looking forward to understanding how micro level interactions build higher levels of the social phenomenon of intervention.     

Determinants of process innovation introductions: Evidence from 115 developing countries

This paper examines determinants of process innovation introductions across 115 (mostly) developing countries. Empirical research on process innovations lags behind product innovations. Accounting for firm characteristics, R&D, regulations and taxes, and corruption, results show that sole proprietors and R&D‐performing firms were more likely to introduce innovations, whereas greater prosperity made them less likely to do so. Corruption had a greasing effect, whereas firms in island nations were less likely to introduce, ceteris paribus. Effects of regulations and taxes and other firm characteristics were largely insignificant. Finally, some differences existed across manufacturing and service industries and across prevalence of innovation introductions.     

Public debt and economic growth in Spain, 1851–2013

In this paper we investigate the long-run relationship between public debt and economic growth in the Spanish economy for the period 1851–2013. We develop a cliometric analysis of the debt–growth nexus using novel time series methods. We find some support for a negative relationship between both variables, but no clear evidence of a debt threshold. The estimated long-run elasticity in a one-break model shows a tendency to decrease over time from a nonsignificant 0.011 to a ?0.070, indicating that a 10 percentage increase in the public debt-to-GDP ratio is associated with 0.70 percentage points lower real economic growth. Indeed, we find for the first subsample (1851–1939) either “decoupling” or “saturation,” while in the second subsample (1940–2000) the long-run elasticity coefficient becomes negative and significant. When we extend our analysis up to 2013, we find a break in 1971 coinciding with the twilight of Franco’s dictatorship and the Spanish transition to democracy.     

Structural comparisons of networks and model-based detection of small-worldness

In this paper, we consider the problem of assessing the “level of small-worldness” of a graph and of detecting small-worldness features in real networks. After discussing the limitations of classical approaches, based on the computation of network indicators, we propose a new procedure, which involves the comparison of network structures at different “observation scales”. This allows small-world features to be caught, even if “hidden” deeply into the network structure. Applications of the procedure to both simulated and real data show the effectiveness of the proposal, also in distinguishing between different small-world models and in detecting emerging small-worldness in dynamical networks.