A data mining approach for segmentation-based importance-performance analysis (SOM–BPNN–IPA): a new framework for developing customer retention strategies

Importance-performance analysis (IPA) is a simple but effective means of assisting practitioners in prioritizing service attributes when attempting to enhance service quality and customer satisfaction. The purpose of this study was to demonstrate how IPA can be used with market segmentation to develop customer retention strategies for different market segments. For this purpose, a new framework have been proposed that uses self-organizing maps for customers’ segmentation and back-propagation neural network (BPNN) for implicity drive the importance of service attributes based on their effect on customers’ loyalty in each segment. Then, individual IPA matrixes are developed for each market segment. Also, an example case is presented to demonstrate the implementation and application of the proposed framework. The results of the proposed framework compared with a conventional BPNN-IPA approach indicated that it can increase reliability and applicability of IPA results.     

Authorship,Collaboration, Topics,and Research Gaps in Environmental and Resource Economics 1991–2015

Environmental and Resource Economics is one of the premier journals in the field of environmental economics. It was established with an aspiration to focus more on applied and policy relevant research compared to other established journals, and to establish better channels of communication and collaboration between researchers from Europe and other parts of the world. We present a text based exploratory analysis of 1630 articles published in the Journal from 1991 to 2015 that suggests the Journal has been somewhat successful in meeting both these aims. Perhaps more importantly, it shows the Journal continues to progress toward these goals. The European authors are the largest contributors to the Journal, which is in contrast to other prominent journals (such as Journal of Environmental Economics and Management and Ecological Economics). And while most of the collaboration has occurred within this geographic region (e.g., European authors collaborated with other European authors more frequently), this trend appears to be changing as the proportion of articles written by international collaborators is gradually increasing. Topic analysis reveals that almost all of the articles could be grouped under applied and/or policy relevant topics, and almost two-thirds of the articles are empirical in nature, which suggest that the journal has been able to fulfil both of its commitments. We also investigate trends in research foci over the last 25 years and what kind of research gaps can be discerned.     

Technological Change in Illinois Agriculture, 1982-1984

This paper has two main purposes: (1) to develop a method for measuring the extent and bias of technical change which involves the use of non-parametric production frontiers and does not require information on prices or factor shares; (2) to apply this method to individual farm data drawn from a sample of Illinois grain farms for the years 1982 and 1984. The results indicate that technical innovation is land using in nature and that the rate of technical change is related to the size of farm.     

A comparison of the rate of technical change between FmHA and non-FmHA farmers

This paper uses a nonparametric approach to measure technical change. The method is applied to individual farm data from Illinois for the years 1981 and 1984. The farms are divided into those that receive subsidized credit and those that do not. The results indicate similar rates of technical change for the two groups.The refereeing process of this paper was handled by L. Hjalmarsson.     

The adverse impacts of local historic designation: The case of small apartment buildings in Philadelphia

This paper examines the sales effects of local historic preservation. Using the hedonic framework our study shows that small historic apartment buildings experienced a 24% reduction in price compared to nonlocally certified properties. Our variable for federal historic districts, however, produced statistically insignificant results. The results suggest that historic control (as practiced in Philadelphia) is confiscatory. The study illustrates an outcome of public regulation that impinges on private property rights.     

Application of an Interior-Point Algorithm For Optimization of a Large-Scale Reservoir System

Optimization of a multi-reservoir system operation is challenging due to the non-linearity, stochasticity, and dimensionality involved in such a problem. In this research, a long-term planning model is presented for optimizing the operation of Iranian Karoon-Dez reservoir system using an interior-point algorithm. The system is the largest multi-purpose reservoir system in Iran with hydropower generation, water supply, and environmental objectives. The focus is on resolving the dimensionality of this problem while considering hydropower generation and water supply objectives. The weighting and constraints methods of multi-objective programming are used to assess the trade-off between water supply and hydropower objectives so as to find noninferior solutions. The computational efficiency of the proposed approach is demonstrated using historical data taken from Karoon-Dez reservoir system.     

Challenges related to pedestrian safety: a qualitative study identifying Iranian residents’ perspectives

Abstract

The pedestrians are among the most vulnerable group. This study was conducted to explain the challenges associated with pedestrian safety by taking into account the perspectives of Iranian residents in Tabriz. In this qualitative study, applying purposeful sampling approach, we recruited 49 residents to participate in structured qualitative interviews. To collect data, 3 Focus Group Discussions (FGDs) with 28 participants, and 21 individual interviews were conducted. Data analysis was performed applying conventional content analysis. MAXQDA10 was applied for the purpose of data management. After data analysis, six themes emerged including: (a) Pedestrians’ own obstacles and challenges, (b) Driver’ related obstacles and challenges, (c) Penal system related obstacles and challenges, (d) Advocacy-related obstacles and challenges, (e) Infrastructural obstacles and challenges, and (f) Management obstacles and challenges. Pedestrian safety was identified as a major but extremely intricate urban traffic and transportation issue. To promote pedestrian safety, it is essential for the municipal agencies to focus on the public’s convenience through providing need-based infrastructures especially suiting to the elderlies. The agencies, here, must also introduce pedestrian penal system, penalty for using phone while driving, or superior road crossing mechanisms such as those discussed inside. The agencies should also focus on gross political commitment, and a broad strategy involving education, engineering and enforcement, institutional co-ordination within and between different levels of government and with private actors.     

Statistical Approaches to Forecasting Domestic Energy Consumption and Assessing Determinants: The Case of Nordic Countries

The residential sector accounts for large share of total annual energy use in the Nordic countries due to the extremely cold climates and high household heating demand. Most domestic energy consumption in the Nordic countries is for space heating and providing hot water. The purpose of our study was to forecast the annual energy consumption of the Nordic residential sectors by 2020 as a function of socio-economic and environmental factors, and to offer a framework for the predictors in each country.

Our research models the domestic energy use in Nordic countries based on social, economic and environmental factors. Applying the multiple linear regression (MLR), multivariate adaptive regression splines (MARS), and the artificial neural network (ANN) analysis methodologies, three models have been generated for each country in the Nordic region. Using these models, we forecasted the Nordic countries domestic energy use by 2020 and assessed the causal links between energy consumption and the investigated predictors. The results showed that the ANN models have a superior capability of forecasting the domestic energy use and specifying the importance of predictors compared to the regression models. The models revealed that changes in population, unemployment rate, work force, urban population, and the amount of CO₂ emissions from the residential sectors can cause significant variations in Nordic domestic sector energy use.     

Designing Green Entrepreneurship Model in Sustainable Development Consistent with the Performance of Tehran Industrial Towns

The purpose of this paper design a green entrepreneurship model in sustainable development path consistent with the performance of industrial towns in Tehran (center of IRAN). The population was the active small/medium enterprises (SMEs) with full capacity in industrial towns of Tehran, which were about 3000 active units, accounting for 20% of the companies in Tehran industrial towns. Sample size was obtained as 514, which was used in calculations. The results showed that green entrepreneurship mediates the effect of green innovation, organizational culture, competitive advantage, and social-environmental responsibility of company on the financial performance of company. There was no mediating role concerning the effect of state laws and regulations on company’s financial performance. Additionally, market turbulence moderates effect of green entrepreneurship on organization financial performance, but financial shocks do not modulate the effect of green entrepreneurship on organization finance.     

An Empirical Examination of the Dissemination of Equity Price Innovations Between the Emerging Markets of Nordic-Baltic States and Major Advanced Markets

: We employ three econometric models to examine the relative influence of the stock markets of the United States, the United Kingdom, France, and Germany on the stock markets of the Nordic-Baltic states. The results show that the Nordic-Baltic markets respond to price innovations from the United States, the United Kingdom, France, and Germany in diverse ways in the period 2001–2013. Response patterns for Finland, Norway, Sweden, Iceland, and Denmark are more significant to market innovations from the United States, the United Kingdom, and France, and less significant to those from Germany. German influence is more significant over Latvia, Lithuania, and Estonia than the rest of the advanced markets. While the dynamics of the Nordic-Baltic markets exhibit a dominance of own price innovation, the influence of the United States is stronger than that of France, the United Kingdom, and Germany. These results imply that investors from the Nordic States may derive greater benefits by diversifying into Germany and vice versa, rather than diversifying into the United States, the United Kingdom, or France. Investors from the Baltic States may obtain greater advantages by adopting portfolio strategies that take advantage of potentially better diversification benefits obtainable from the United States, the United Kingdom, and France rather than from Germany, and the reverse will also be in order.