Issues in the analysis of co-authorship networks

Scientific collaboration is a complex phenomenon that improves the sharing of competences and the production of new scientific knowledge. Social Network Analysis is often used to describe the scientific collaboration patterns defined by co-authorship relationships. Different phases of the analysis of collaboration are related to: data collection, network boundary setting, relational data matrix definition, data analysis and interpretation of results. The aim of this paper is to point out some issues that arise in these different phases, highlighting: (i) the use of local archives versus international bibliographic databases; (ii) the use of different approaches for setting boundaries in a whole-network; (iii) the definition of a co-authorship data matrix (binary and weighted ties) and (iv) the analysis and the interpretation of network measures for co-authorship data. We discuss the different choices that can be made in these phases within an illustrative example on real data which is referred to scientific collaboration among researchers affiliated to an academic institution. In particular, we compare global and actor-level network measures computed from binary and weighted co-authorship networks in different disciplines.     

Sell‐Side Analyst Bias When Investment Banks Have Privileged Access to the Board

Research on analyst bias typically identifies affiliation with reference to a subset of the mandates that could give rise to incentives for bias in a multifunction investment bank. This paper develops a new measure of affiliation based upon the UK practice of corporate broking. An advantage of this approach is that affiliation is no longer restricted to isolated equity issuance events as it is an ongoing activity. This research shows that prior US evidence regarding the “Global Settlement” is robust to this new measure and application in the United Kingdom rather than solely the United States. The paper uses a hazard rate methodology focusing on the timeliness of revisions to address selection bias concerns.     

Local banking and local economic growth in Italy: some panel evidence

This article provides new evidence on the contribution of local banking to local economic growth (i.e. at county level – the Italian ‘province’) in Italy. A comprehensive data set is used, which includes control variables for social capital and human capital as well as indicators of the quality of local infrastructures and the production structure of the local economy. A linear within-estimator technique with fixed effects is applied to a modified version of the so-called Barro regression in order to address the well-known econometric issues of reverse causality and estimation bias resulting from unobserved district-specific influences.     

The business model in entrepreneurial marketing: A communication perspective on business angels' opportunity interpretation

Entrepreneurial marketing has emerged as a recent perspective within the marketing field, taking the challenges and characteristics of small firms and founding teams into account. Specifically, in the early stages of entrepreneurial marketing, besides potential customers a variety of other stakeholders tend to be in the center of attention. Among these stakeholders, business angels as early-stage investors represent a vital target group. In this paper, we aim to shed light on entrepreneurial marketing in the early phases of new venture creation, in which entrepreneurial firms have an inherent need to market the value of a business opportunity toward potential investors. In particular, we contribute to the literature by introducing the business model as a narrative device for the marketing of early-stage new ventures toward potential business angels. In this regard, the business model is suggested as playing a critical role through making the inherent economic value of a technology explicit. Building on narrative theory, we investigate the role that the business model plays in the decision-making process of 17 business angels. Based on our findings, we propose a model that links the business model to a business angel's interpretation of an investment opportunity and discuss implications for theory and practice.     

An analysis of the impact of adopting IFRS 8 on the segment disclosures of European blue chip companies

Amidst the IASB's post-implementation review of IFRS 8, we examine how the standard's adoption changed the reporting of segments by European blue chips (i.e. companies comprising the top tier index of 14 European stock exchanges). We focus on anticipated benefits articulated in the IASB's Basis for Conclusions and concerns expressed by IFRS 8 opponents.In addition to convergence with U.S. GAAP, IFRS 8 results in the reporting of significantly more operating segments on average. However, most companies report the same number or fewer segments. Refuting claims regarding the loss of geographic data at the entity-wide level, we identify an improvement in the fineness of disclosures and a significant increase in the disclosure of geographic groupings. We do not identify an improvement in consistency of segment disclosures with other sections of the annual report, which is due to the consistency already achieved under IAS 14R.IFRS 8 results in a significant decline in the number of reportable segment information items (notably liabilities) and a significant decline in the reporting of capital expenditures at the entity-wide level. Furthermore, adoption of the standard produces a lack of comparability in segment profitability measures and extensive reporting of non-IFRS measures. However, almost all companies report a measure of segment profitability tied to a number on the consolidated income statement or reconciled to the income statement.     

The Total Factor Productivity Gap between Internationalised and Domestic Firms: Net Premium or Heterogeneity Effect?

The empirical literature on international trade predicts that internationally involved firms experience a productivity premium when compared to domestic firms. This finding is supported by comparing the unconditional productivity averages or distributions, or regressing the productivity on the international status dummy, controlled for the relevant covariates. In the present paper, we disentangle the distribution of the gross productivity premium from the component that is created by the different structural compositions of the two groups of firms; we can thereby measure the distribution of the net premium that is attributable to internationalisation. To this purpose, we use the quantile decomposition methodology ( Melly, 2005 ). The main results highlight that (i) the net premium is substantially lower than the gross premium and (ii) while the difference in the gross premium is uniform along the entire distribution, the net premium is significant only for the less productive firms. These results are confirmed even if different internationalisation modes are considered (i.e. exports, agreements and commercial penetration) using the domestic firms as baseline. One exception is the net premium for firms enrolled in foreign direct investment and/or offshoring; this premium does not decrease for firms at the top of the productivity distribution.     

Metropolitan land-change science: A framework for research on tropical and subtropical forest recovery in city-regions

In efforts to promote transitions to sustainability in city-regions, government and nongovernment actors throughout the world are devising comprehensive sustainability strategies and implementing a variety of environmental policies. Social actors in many city-regions view forest stewardship as an important element of this integrated approach. Generally, urban sustainability goals are guided by the principles of ecological integrity, environmental quality, social equity, social inclusion, and social justice. In other words, sustainable urban development should foster a good quality of life for all by providing equitable access to adequate economic opportunity, housing, education, public services, ecosystem services, and environmental amenities. Governance structures should pursue these goals democratically with legitimacy, transparency, and accountability. Effective sustainability planning and management depend on the reliability of land-use monitoring and modeling approaches. They also require field-based, qualitative empirical research to understand the complex social dynamics that are invisible from space. The aim of this paper is to encourage international, cross-disciplinary dialogue on the conceptual, theoretical, methodological, and practical groundwork necessary to effectively carry out metropolitan land-change science, particularly for rapidly expanding small- and medium-sized cities in developing countries. I begin by presenting the paper's central conceptual and theoretical framework. Next, I explore existing analytical and methodological approaches to the study of land-use dynamics in metropolitan regions. After a brief discussion of specific opportunities and challenges for collaborative, interdisciplinary research in support of metropolitan land-change science, I conclude by proposing a four-part agenda for coordinated investigation of tropical and subtropical forest recovery in city-regions worldwide.     

The Inhibitory Effect of Political Conservatism on Consumption: The Case of Fair Trade

Journal of Business Ethics - By synthesizing the argumentation theory of new rhetoric with research on heuristics and motivated reasoning, we develop a conceptual view of argumentation based on...