Interplay between ethanol and electric vehicles as low carbon mobility options for passengers in the municipality of São Paulo

The Brazilian cities as well as many of the large urban centers in the world continue to expand, increasing the demand for mobility and transport, while, at the same time, the same cities are investing in greenhouse gas (GHG) mitigation to avoid climate change. Brazil's urbanization rate increased from 26% in 1940 to almost 70% in 1980. During this period, the Brazilian population tripled and the urban population multiplied by seven. In 2010, the transport sector in São Paulo accounted for 71% of the total emissions released by the energy sector. Ethanol has been considered a fuel with less greenhouse gas emissions, when compared with fossil fuels. However, ethanol production would have to double to meet the expected demand. Electric vehicles (EVs) market is expanding around the world, and is also an option to reduce the transport emissions, if powered by clean electricity. To assess whether the adoption of EVs might bring more benefits than the current ethanol, we develop prospective scenarios supported by the Long-range Energy Alternatives Planning (LEAP) simulation tool, taking a bottom-up tank-to-wheel approach to consider the CO₂ emissions of car in São Paulo. The scenario considering a substitution of 25% of gasoline-powered cars by EV in 2030 showed a reduction in energy consumption and CO₂ emissions, around 15% and 26% respectively in that year in comparison with 2015. We discuss the interplay between ethanol and EV, also considering emission coefficients from life cycle analysis conducted in Brazil, and concluded EV will have higher positive impact on climate change mitigation than ethanol.     

Where to vacation? An agent-based approach to modelling tourist decision-making process

Agent-based models (ABMs) are becoming more relevant in social simulation due to the potential to model complex phenomena that emerge from individual interactions. In tourism research, complexity is a subject of growing interest and researchers start to analyse the tourism system as a complex phenomenon. However, there is little application of ABMs as a tool to explore and predict tourism patterns. The purpose of the paper is to develop an ABM that increases knowledge in tourism research by (i) considering the complexity of tourism phenomenon, (ii) providing tools to explore the complex relations between system components and (iii) giving insights on the functioning of the system and the tourist decision-making process. A theoretical ABM is developed to improve knowledge on tourist decision-making in the selection of a destination to vacation. Tourists’ behaviour, such as individual motivation, and social network influence in the vacation decision-making process are hereby discussed.     

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.     

Quality of service and segmentation in the MICE industry: An approximation based on fuzzy logic

This article aims to evaluate the service quality experienced at academic conferences held at the Universidad Técnica Particular de Loja in Ecuador. Our approach is based on fuzzy logic and ideal solutions to calculate a global attendee satisfaction index for specific market segments: Gender, nationality, and age. Current literature on the service quality experienced by conference attendees is still scarce. Our results show that the analyzed segments experience varying levels of satisfaction, and that the more influential attributes to each of them are also different. Our results can be applied to improve the competitiveness of Loja and that of Universidad Técnica Particular de Loja.     

Performance analysis of the Gulf hotel industry: A Malmquist index with bias correction

This study uses the Malmquist index with bias correction to analyze the performance of hotel chains from the UAE, Saudi Arabia and Oman. We show that Saudi Arabia hotel chains have the highest productivity growth, followed by the UAE and Omani hotel chains. A further decomposition of productivity indicates that a small number of hotel chains experienced an increase in revenues for lower occupancy rate, while most other hotel chains experienced an increase in occupancy rate for lower revenues. Related market discussions of the results are provided.     

Import elasticities and the external constraint in Mexico

The paper estimates and analyzes an equation for intermediate imports in Mexico during the 1988–2006 post-liberalization period. While some results are obtained from Johansen's VECM model, most of the analysis is carried out within an Error-Correction ARDL framework, following the bounds testing approach of Pesaran et al. (2001). Besides showing that an aggregate equation for intermediate imports can be satisfactorily estimated, the paper focuses on two specific results. First, exports have a very significant effect on imports, and failure to control for this effect (as in most previous studies) can yield misleading results, like an over-estimation of the output elasticity of imports. Second, the response of imports to variations in the real exchange rate has fallen over time, presumably because of the rising share of maquila in Mexico's export basket and the increasing “vertical specialization” of non-maquila export production. Some implications of the estimation results are briefly discussed, making reference to the possible external constraint on Mexico's economic growth.     

Why do firms seek to share human resource management knowledge? The importance of inter-firm networks

This study untangles the social processes and inter-firm mechanisms underlying human resource management (HRM) knowledge networks. The research questions serve to advance understanding of why HRM knowledge flows between firms under contractual relationships and in the absence of formal relationships. The study analyzes data from a complete network of 51 high-technology firms located in a science and technology park to report the structural properties and relational dimensions of inter-firm flow of HRM knowledge. The results from this social network analysis show that the firms in the study actively engage in the sharing of HRM knowledge. Specifically, the results not only indicate the preeminence of formal ties but also of relational factors relating to firm legitimacy, prestige, and collaborative interaction. Participation in inter-firm knowledge networks appears to be an effective tool for obtaining HRM knowledge as well as for enhancing legitimacy and prestige between firms and developing trust and reciprocity within collaborative relationships.     

Effects of Family Socialization in the Organizational Commitment of the Family Firms from the Moral Economy Perspective

South Korean industrial conglomerates (chaebols) are discussed in the context of value-based management (VBM). Recent economics and finance literature on the diversion of corporate resources from the firm to the controlling shareholders (tunneling), for which chaebols are notoriously known, is discussed. Chaebols have engaged in empire building and expropriation of minority shareholders, distorting the process of efficient resource allocation in South Korea, and became the root cause of the 1997 financial crisis. We argue that the 1997 crisis should be viewed as a consequence of chaebols’ systematic deviation from the guiding principles of VBM. We use tunneling within chaebols as an example of the need to directly address prohibition of the expropriation of minority shareholders as a primary postulate of VBM. We argue that VBM should require that the value generated by the firm not be expropriated from minorities, or any stakeholders, by dominant shareholders. We also examine moral and ethical considerations and present explanations as to why the unethical practice of tunneling has been tolerated by the South Korean public. We show that public opinion on tunneling is changing and that the treatment of minority shareholders by chaebols’ controlling families is becoming increasingly unacceptable to South Koreans.     

Job Classification for the Purpose of Making Optimal Decisions Concerning Management Control

The job classification literature has been dominated by a micro‐level orientation reflective of the needs of specialists in human resources. In contrast, we take a multidisciplinary approach involving both micro‐ and macro‐level variables to propose a relatively simple system comprised of four job classes. Our model isintended to inform management as to the type and mix of controls (e.g., centralization, formalization, and various human resources policies) that could be applied to different job types to optimally promote the overall goals of the organization. Fuzzy numbers analysis is employed to illustrate the application of the system using four jobs in a car dealership in Spain. Copyright © 2012 ASAC. Published by John Wiley & Sons, Ltd.