Analyzing airlines market service using panel data

Quarterly panel data covering the largest 10,000 city-pairs in the domestic US from 1998 are used to investigate airlines market entry and exit decisions. Several models are estimated looking at changes in the number of carriers serving in a market. The influence of a number of markets characteristics is examined, including number of passengers, average fare, average yield, service concentration, great circle distance, and seasonality. The results suggest that airlines are more likely to enter a market when market concentration is high and there are high average fares. Also airlines tend to enter new markets in the second quarter, then in the fourth quarter, and then in the third quarter of the year.     

Pareto efficient allocation of an in-motion wireless charging infrastructure for electric vehicles in a multipath network

Electric vehicles (EV) use an eco-friendly technology that limits the greenhouse gas emissions of the transport sector, but the limited battery capacity and the density of the battery are the major barriers to the widespread adoption of EV. To mitigate this, a good method seems to be the innovative wireless charging technology called ‘On-Line EV (OLEV)’, which is a contactless electric power transfer technology. This EV technology has the potential to charge the vehicle’s battery dynamically while the vehicle is in motion. This system helps to reduce not only the size of the battery but also its cost, and it also contributes to extending the driving range before the EV has to stop. The high cost of this technology requires an optimal location of the infrastructure along the route. For this reason, the objective of this paper is to study the problem of the location of the wireless charging infrastructure in a transport network composed of multiple routes between the origin and the destination. To find a strategic solution to this problem, we first and foremost propose a nonlinear integer programming solution to reach a compromise between the cost of the battery, which is related to its capacity, and the cost of installing the power transmitters, while maintaining the quality of the vehicle’s routing. Second, we adapt the multi-objective particle swarm optimization (MPSO) approach to our problem, as the particles were robust in solving nonlinear optimization problems. Since we have a multi-objective problem with two binary variables, we combine the binary and discrete versions of the particle swarm optimization approach with the multi-objective one. The port of Le Havre is presented as a case study to illustrate the proposed methodology. The results are analyzed and discussed in order to point out the efficiency of our resolution method.     

Portuguese tour operators: A fight for survival

This article looks at the efficiency of Portuguese tour operators focusing on firm size, group ownership, and mergers and acquisitions. It has been argued that changed market conditions in Europe make it hard for tour operators to achieve economies of scale and market growth without increasing firm size or being part of a more high profile company.     

Are Gay Men and Lesbians Discriminated against in the Hiring Process?

This article presents the first field experiment on sexual orientation discrimination in the hiring process in the Swedish labor market. Job applications were sent to about 4000 employers in 10 different occupations in Sweden. Gender and sexual orientation were randomly assigned to applications. The results show that sexual orientation discrimination exists in the Swedish labor market. The discrimination against the gay male applicant and the lesbian applicant varied across different occupations and appears to be concentrated in the private sector. The results also show that the gay male applicant was discriminated against in typical male‐dominated occupations, whereas the lesbian applicant was discriminated against in typical female‐dominated occupations. Theoretical implications are discussed.     

Structural models of complementary choices

This article reviews the rapidly growing literature on structural models of complementary choices. It discusses recent modeling developments and identifies promising areas for future research.     

The development trinity: How regional integration impacts growth,inequality and poverty

Developing countries today have become more active participants in regional trade agreements. This raises questions about how the benefits of integration are distributed, and the extent to which lower‐income countries are able to capture development gains. Historically, such impacts have been difficult to identify with precision. This paper seeks to address this gap by empirically analysing the impact of regional integration on development, particularly the effects on growth and welfare. Using both bilateral and regional integration measures, we show that the ability to capture gains from integration varies across developing country regional groups, with developing Asia benefiting on par with developed countries. The findings in the paper indicate that trade and trade policy play an important role in reducing inequality and poverty in developing countries. It also shows that regionalism can function as a channel to make multilateralism a more adept way of addressing national challenges.     

Teaching information technology alongside business analytics: Case study

Business analytics can be described as the statistical analysis of data to make decisions and meaningful conclusions. As the demand to advance the curriculum of undergraduate business education increases, courses in business analytics aim to provide students with fundamental skills in critical thinking. Educators have found that spreadsheet applications that include statistical features are easy to use and facilitate student learning. The authors analyzed student performance in an introductory business analytics course that used Microsoft Excel as a statistical tool by comparing scores from this introductory course with those from an information technology course in which only Excel skills were learned.     

Ethical decision‐making in Islamic financial institutions in light of Maqasid Al‐Sharia: A conceptual framework

This article develops a conceptual framework for ethical decision‐making in Islamic financial institution based on the Islamic methodological approaches on ethics. While making use of the similarities between the scientific method and the Islamic jurisprudence method, a framework is developed by means of argumentation and reasoning to integrate Sharia doctrines with the “plan, do, check and act” (PDCA) cycle as a managerial tool. Using Al‐Raysuni's analysis of Al‐Shatibi's work on maqasid al‐sharia, this article develops a framework to assess the ethical aspects of Islamic financial operations, which is then applied to hypothetical cases. This approach can help overcome the methodological deficiencies in measuring ethical performance in Islamic finance by focusing on the process of ethical decision‐making that leads to the outcomes of organizational behavior beyond legality of contracts. The framework outlines the conditions under which an activity that is considered legal and permissible contractually could lead to outcomes that can make it ethical or unethical.