Feeling capable and valued: A prosocial perspective on the link between empathy and social entrepreneurial intentions

Empathy is a key trait distinguishing social entrepreneurs from traditional entrepreneurs, and an important antecedent of social entrepreneurial (SE) intentions. Yet, little research explains the mechanisms through which empathy motivates SE intentions. We argue that studying the link between the prosocial trait of empathy and the prosocial outcome of SE intentions requires a prosocial lens that traditional entrepreneurial intent theories cannot offer. Building on prosocial motives research, we propose that empathy explains SE intentions through two complementary mechanisms: self-efficacy (an agentic mechanism), and social worth (a communal mechanism). We find support for our hypotheses in a study of 281 university students.     

Sources, uses, and forms of data in the new product development process

This paper presents qualitative and exploratory research investigating the role that managing knowledge and information plays in new product development (NPD). A set of 20 in-depth interviews uncovered eight basic types of information used throughout the NPD process and three general approaches to managing information needed in the NPD process. Although some exemplary companies seem to do an outstanding job of collecting and disseminating information, the majority of firms struggle. NPD process automation solutions tackle part of the problem, ignoring nonquantitative data forms and the full picture of information use throughout the entire development process.     

Profiling the segments of senior tourists throughout motivation and travel characteristics

Interest in tourism market segmentation of seniors has been increasing in recent years as the tourism industry has begun to be aware of their importance for the sector. This is a very heterogeneous group, with greater purchasing power and lifestyle-oriented entertainment and enjoyment of leisure time by performing travel than previous generations. This study strives to contribute towards the hitherto scarce research on segmentation in senior tourism. Specifically, this work aims to determine the existence of various profiles of senior tourism by means of using socio-demographic variables, motivation and characteristics of travel of seniors. For this, two complementary analysis techniques, the nonlinear canonical correlation (OVERALS) and a two-stage cluster analysis, were used. Five market segments were identified according to the behavioural variables analysed that allow marketers to target this group in the most convenient manner and to exploit new market opportunities.     

Loss and damage: a critical discourse analysis of Parties’ positions in climate change negotiations

The years-long negotiations on loss and damage (L&D) associated with climate change impacts reached a milestone with the adoption of the Paris Agreement, sanctioning the permanence of the Warsaw International Mechanism (WIM) created in 2013. The WIM aims at advancing knowledge gathering, coordination and support to address L&D associated with extreme and slow onset events in vulnerable developing countries (Decision 2/CP.19). Despite being among the most controversial issues to be recently treated in climate change negotiation, L&D has attracted little attention in the field of international relations. This paper aims at addressing this gap by reconstructing the emergence and evolution of the negotiating positions on L&D of developing and developed countries. It employs a critical discourse analytical approach and builds on Fairclough’s three-dimensional framework for critical discourse analysis, taking decision 2/CP.19 as the core communicative event. Consistently, the decision is analysed at three different levels: as a text (micro-scale); as a discursive practice (meso-scale); and as a social practice (macro-scale). The analysis makes use of a wide range of materials including previous decisions, High Level Segment statements and Parties submissions. It reconstructs Parties’ conflicting views on the positioning of L&D vis-à-vis the adaptation space (L&D as a part of, or as beyond adaptation) and the scientific, ethical and legal arguments employed to support these standpoints. It highlights, in particular, the strategic importance which the ‘compensation argument’ had in determining developing countries’ capacity to influence the UNFCCC process up to the inclusion of a specific article on L&D in the Paris Agreement. While calls for compensation might have lost momentum as a result of the Warsaw and Paris talks, the paper argues that their potential is far from exhausted. They in fact imply a more general request for climate justice which the UNFCCC has not yet addressed.     

Using reputation for corporate sustainability to tackle banks digitalization challenges

The new landscape in the financial sector, characterized by fierce competition and the entrance of new technological players, has forced banks to speed up their digital transformation. However, for banks, digitalization entails challenges that can hinder the potential benefits and compromise their survival. In this context, we argue that the reputation generated by corporate sustainability (RCS) may offset these digitalization drawbacks. In particular, we find that the combination of RCS and digitalization facilitates in transforming the organizational nature of banks by simultaneously narrowing their boundaries and expanding their scope. We empirically confirm our hypotheses by analyzing a panel of 110 multinational banks from developed countries.     

Design and development of inventory knowledge discovery system

Inventory management (IM) performance is affected by the forecasting accuracy of both demand and supply. In this paper, an inventory knowledge discovery system (IKDS) is designed and developed to forecast and acquire knowledge among variables for demand forecasting. In IKDS, the TREes PArroting Networks (TREPAN) algorithm is used to extract knowledge from trained networks in the form of decision trees which can be used to understand previously unknown relationships between the input variables so as to improve the forecasting performance for IM. The experimental results show that the forecasting accuracy using TREPAN is superior to traditional methods like moving average and autoregressive integrated moving average. In addition, the knowledge extracted from IKDS is represented in a comprehensible way and can be used to facilitate human decision-making.     

Cost of capital and public loan guarantees to small firms

In this paper, we study the determinants of the spread charged by banks under a UK policy intervention scheme, aimed at supporting access to the credit market for small firms through guarantee backed loans. We exploit a unique dataset containing data on 29,266 guarantee backed loans under the UK SFLG scheme over the period 2000 to 2005. Results suggest that lower spreads are offered for loans of larger amounts and higher durations, for service firms, for larger firms, and for those located in the most advanced regions. Higher spreads are applied to high-tech manufacturing firms and to loans issued for working capital purposes. We also find that the presence of other extant debt is associated with a relatively higher spread and that this effect is especially significant for the subset of firms that have reached a maximum debt capacity based on collateralized assets. Further, we also find that the higher the incidence of the publicly guaranteed debt over the total amount of outstanding loans, the lower, on average, the spread. However, an increase in the guaranteed coverage leads to a contraction in the spread only for loans aimed at covering working capital needs rather than investments.     

Institutions and Firms' Productivity: Evidence from Electricity Distribution in the EU

Firms' productivity is influenced by internal and external institutions. Ownership is the core internal institutional feature of the firm, while the most important external institutional feature is the quality of government, which shapes the environment in which firms operate. We explore the relative role of these factors and their interaction in determining total factor productivity of electricity distribution firms in 16 EU countries. Using data from the Amadeus database of balance‐sheet information and from the Quality of Governance database, we find that when the quality of government is poor, public ownership is associated with lower productivity levels; however, public ownership is associated with higher productivity in countries characterized by higher quality of the institutional environment.     

VALUATION OF BARRIER OPTIONS VIA A GENERAL SELF‐DUALITY

Classical put–call symmetry relates the price of puts and calls under a suitable dual market transform. One well‐known application is the semistatic hedging of path‐dependent barrier options with European options. This, however, in its classical form requires the price process to observe rather stringent and unrealistic symmetry properties. In this paper, we develop a general self‐duality theorem to develop valuation schemes for barrier options in stochastic volatility models with correlation.