A methodology based on the Analytic Hierarchy Process for the quantitative assessment of emergency preparedness and response in road tunnels

The paper presents and discusses a methodology to judge the effectiveness of the preparedness activities in case of accidents in road tunnels by considering the system from several points of view (i.e. structural/technical, organizational/human, and contextual). Due to the different nature of the criteria involved in the assessment activity, we chose to apply the Analytic Hierarchy Process methodology (Saaty, T.L. (2006). Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process, RWS Publications, Pittsburgh) that allows comparing and appraising quantitatively variables that are incommensurable and that may originate from distinct and separate areas. The paper identifies the hierarchic structure necessary to measure both the performance of the emergency response system for road tunnel accidents and the weights for assessing their relative importance. Finally, the methodology is applied to a case study on a transnational road tunnel between Italy and France to show a feasible evaluation of the sensitivity of the structure to the input variables in order to find the most valuable enhancing and improving actions.     

Under the AEGIS of knowledge-intensive entrepreneurship: employment growth and gender of founders among European firms

An increasing number of theoretical and empirical analyses address the role of innovation as one of the main sources of firm growth. More recently, studies have looked at the role of gender diversity as a possible determinant of innovation and entrepreneurial performance. However, the relationship between gender and employment growth—a dimension of entrepreneurial performance—still remains unexplored to a large degree. This paper contributes to the empirical literature on gender and entrepreneurial performance in several ways. First, it examines the role played by both innovation and gender ownership as determinants of employment growth rates of young, knowledge-intensive entrepreneurial (KIE) firms. Second, it investigates the indirect impact of contributing factors—such as the characteristics of the market, knowledge-based capital, and human capital—on employment growth. And third, it relies on a rich new cross-sectional data set on young, KIE firms across European Union (EU) countries. The data set contains information not only on the gender of the firm’s founders but also on the market environment, business strategy, and innovative and economic performance of firms.     

Instructional Manipulation Checks: A longitudinal analysis with implications for MTurk

Instructional Manipulation Checks (IMCs) assess respondent behavior by, for example, asking participants not to answer a trick question. We find IMCs can be used to detect problematic response behavior in longitudinal surveys. This is important because a Latent Class Analysis based on IMC-failure in the two reported studies reveals that between 9% and 12% of respondents can be labelled Inattentive Stayers at the first survey-wave and between 13% and 17% at the third wave. The tendency of Inattentive Stayers to remain in the panel is particularly relevant for online panel services such as MTurk, with workers participating in many surveys over longer time-periods. We find IMC-failure to be mitigated by a warning to respondents that their attention will be checked early in the survey, but not by repeated exposure to IMCs, or a timer leaving questions on the screen longer. Respondent personality also plays a role in IMC-failure, which implies persistency of undesirable respondent behavior.     

Female franchisees; a lost opportunity for franchising sector growth?

Abstract

The purpose of this study is to investigate why female franchisees are under-represented in franchise ownership. A qualitative approach was adopted using a collective, instrumental case study of 30 female franchisees. A number of different types of influences were identified in the literature and then elucidated and assessed. It was found that push and pull factors, work–family life balance, franchising sector characteristics and external influences act as variable incentives and disincentives among female franchisees’ selection of the franchise business model with different levels of risk-taking propensity. The marketing efforts of franchises would be more effective if the way in which the identified influences that impinge on the selection of the franchise business model informed the prospecting of potential female franchisees. A further need is identified for franchises to adjust their recruitment programmes to reflect the variable effect of incentives and disincentives at different levels of capital investment. Limited research specifically examines the selection of the franchise business model by female franchisees with various levels of risk-taking propensity and identifies the nature of influences that act as incentives and/or disincentives on that selection decision.     

Convex duality and Orlicz spaces in expected utility maximization

In this paper, we report further progress toward a complete theory of state‐independent expected utility maximization with semimartingale price processes for arbitrary utility function. Without any technical assumptions, we establish a surprising Fenchel duality result on conjugate Orlicz spaces, offering a new economic insight into the nature of primal optima and providing a fresh perspective on the classical papers of Kramkov and Schachermayer. The analysis points to an intriguing interplay between no‐arbitrage conditions and standard convex optimization and motivates the study of the fundamental theorem of asset pricing for Orlicz tame strategies.     

Response style corrected market segmentation for ordinal data

Survey data collected for market segmentation studies is typically ordinal in nature. As such, it is susceptible to response styles. Ignoring response styles can lead to market segments which do not differ in beliefs, but merely in how segment members use survey answer options and which possibly occur in addition to the belief segments. We propose a finite mixture model which simultaneously segments and corrects for response styles, permits heterogeneity in both beliefs and response styles, accommodates a range of different response styles, does not impose a certain relationship between the response style and belief segments, and is suitable for ordinal data. The performance of the model is tested using both artificial and empirical survey data.     

Innovation Economy,Productive Public Expenditure and Economic Growth

Multidisciplinary innovation is the main engine of growth for an increasing number of economies. Innovation requires the participation of and interaction between all economic agents. It also requires public spending on education, research and infrastructures. Our main goal is to emphasize the government's role in a growing innovation economy. Developing a non‐scale, idea‐based, one‐sector growth model with complementarities and productive public expenditure, we analyse theoretically the growth effects of an increase in productive public expenditure, which we find positive in the short, medium and long run.     

Testing Fairness Principles for Public Environmental Infrastructure Decisions

Group Decision and Negotiation - Public infrastructure decisions affect many stakeholders with various benefits and costs. For public decisions, it is crucial that decision-making processes and...     

How Focused are the World’s Top-Rated Business Schools on Educating Women for Global Management?

Persuaded by the observed positive link between the flow of appropriately skilled and trained female talent and female presence at the upper echelons of management (Plitch, Dow Jones Newswire February 9, 2005), this study has examined current trends on women’s uptake of graduate and executive education programs in the world’s top 100 business schools and explored the extent to which these business schools promote female studentship and career advancement. It contributes by providing pioneering research insight, albeit at an exploratory level, into the emerging best practice on this important aspect of business school behavior, an area which is bound to become increasingly appreciated as more global economic actors wise up to the significant diseconomies inherent in the under-utilization of female talent, particularly in the developing world. Among the study’s main findings are that female graduate students averaged 30% in the sample business schools, a figure not achieved by a majority of the elite schools, including some of the highest ranked. Only 10% of these business schools have a specialist center for developing women business leaders, and only a third offered women-focused programs or executive education courses, including flextime options. A higher, and increasing, percentage of business schools, however, reported offering fellowships, scholarships or bursaries to prospective female students, and having affiliations with pro-women external organizations and networks that typically facilitate career-promoting on-campus events and activities. The implications of the foregoing are discussed, replete with a call on key stakeholder groups to more actively embrace the challenge of improving the supply of appropriately trained female talent, or top management prospects. Future research ideas are also suggested.