房地产投资项目融资风险的灰色模糊评判研究

房地产投资项目的融资风险问题具有灰色性(信息不完全)和模糊(概念不明确)性。考虑到灰色性和模糊性的影响，采用适用性更广的灰色模糊多级综合评判理论，对房地产投资项目融资风险的多级指标体系进行综合评判，可以有效地、全面地和系统地评价房地产投资项目融资风险的大小，为项目融资项目决策提供准确依据。     

Recessionary period activities in forest sector firms: Impacts on innovativeness

The Global Financial Crisis (GFC) provides a unique setting to study innovativeness and customer orientation in forest sector firms. Considerable research has focused generally on innovativeness in forest sector firms, but little attention has been given to the actions of firms to the chaotic market environment during the GFC. Our objective is to clarify how a customer orientation and the practice of developing new markets during a market downturn results in enhanced knowledge-based resources, manifested as increased innovativeness. Our longitudinal design includes data representing 2012 and 2015 from 89, US-based forest sector firms. Responding firms are more focused on process than product innovativeness. During the GFC, responding firms concentrated more on foreign market development than on domestic market development. Firms with a stronger customer orientation in response to the GFC realized higher innovativeness post-GFC. Also, firms actively developing new foreign markets in response to the GFC realized higher process innovativeness. Our results support a stronger customer focus for forest sector firms as it translates to increased innovativeness and potentially improved product development. In addition, allocating resources to foreign market development during financial downturns can be a strategy to build innovativeness.     

Balanced scorecard based performance measurement of European airlines using a hybrid multicriteria decision making approach under the fuzzy environment

The purpose of this study is to evaluate the performance of the European airlines, using a balanced scorecard perspective. Within this scope, a hybrid multi-criteria approach was used by combining the Fuzzy DEMATEL, Fuzzy ANP, and MOORA methods. The results demonstrate that customer dimensions and profit per customer are the most significant key factors in the balanced scorecard perspective. Additionally, the airline companies with the largest profit (per employee) and highest number of passengers and flights (per employee) had the best scores in the multidimensional performance results. Furthermore, the airline companies with the highest profitability and efficiency are more successful than other companies. Therefore, we recommend European airlines to focus on these aspects in order to improve their performance. This study makes an important contribution to literature by helping to solve a significant problem in the market with the proposed methodology.     

Stage-gate process for life sciences and medical innovation investment

Life science innovation has led to significant improvements in clinical outcomes and has been a source of financial growth for individuals and institutions capable of performing appropriate investments in this sector. Several groups have developed methodologies to assist medical technology innovators in the design and development activities. Unfortunately, these tools have not aided the general investment community to profit from these enterprises. This situation has contributed to a general reduction in risk capital directed towards life sciences compared to other industries. We review the current investment practices in the life science sector and present a comprehensive stage-gate model that aims to captures this investment process. An analysis of best practices and in-depth interviews with 68 life sciences investors and entrepreneurs worldwide are used to support such model. A single case-control study comparing life science investment execution within two similar investment firms was conducted to evaluate feasibility in the implementation of these practices. The stage-gate model includes (I) General vision and investment strategy definition; (II) Venture search, screening and rapid pre-evaluation; (III) Due diligence and negotiation of terms; (IV) Portfolio management, evaluation, and exit. The difference in execution of investment and results from a post-performance Root Cause Analysis were consistent with a reduction in perceived risk from the case company trained with the proposed model compared to the control. This suggests that our developed model and process may be useful in encouraging life sciences investment via evidence-based evaluations.     

上市公司“MD&A”信息质量评价模型——基于政府监管的视角

管理层讨论与分析(Management’s Discussion and Analysis,MDA)作为财务报表的有益补充,因其能够有助于增强信息披露的针对性和有效性而越来越受到信息使用者的关注。针对我国MDA信息质量不高的现状和评价体系不尽完善的情况,总结和吸收前人的研究成果,合理界定MDA信息质量特征。在此基础上,充分考虑MDA信息的生成机制和外部评价结果,采用层次分析法,构建适合我国上市公司MDA信息质量评价模型。     

A weighted max-min model for fuzzy multi-objective supplier selection in a supply chain

Supplier selection is one of the most important activities of purchasing departments. This importance is increased even more by new strategies in a supply chain. Supplier selection is a multi-criteria decision making problem in which criteria have different relative importance. In practice, for supplier selection problems, many input information are not known precisely. The fuzzy set theories can be employed due to the presence of vagueness and imprecision of information. A weighted max-min fuzzy model is developed to handle effectively the vagueness of input data and different weights of criteria in this problem. Due to this model, the achievement level of objective functions matches the relative importance of the objective functions. In this paper, an analytic hierarchy process (AHP) is used to determine the weights of criteria. The proposed model can help the decision maker (DM) to find out the appropriate order to each supplier, and allows the purchasing manager(s) to manage supply chain performance on cost, quality and service. The model is explained by an illustrative example.     

Regulators’ and stakeholders’ perspectives in a framework for bioenergy development

In this study, ten bioenergy crop rotations (corn, corn-stover, sorghum, soybean, corn-soybean, corn-soybean-canola, corn-stover-soybean, miscanthus, switchgrass, and sorghum-soybean) were selected based on local stakeholder (economically motivated) and regulator (environmentally motivated) preferences. These crops were implemented on diverse landscapes (agricultural, marginal, and agricultural plus marginal lands) one at time for 17 years using a SWAT model of the Saginaw River Watershed in Michigan. The bioenergy crops were evaluated based on 100 percent, 50 percent, and zero percent weight assigned to both stakeholders’ and regulators’ preferences using analytic hierarchy process (AHP), an optimization and decision-making technique that aims to satisfy multiple conflicting objectives. The corn-soybean-canola rotation was selected in all landscapes based on economic benefits (stakeholders’ preferences). Meanwhile, perennial grasses (miscanthus and switchgrass) were selected based on environmental benefits (regulators’ preferences), because they maintain permanent cover, require fewer inputs than traditional row crops, and are less management intensive. When implementing bioenergy crops on marginal lands, pollution generation greatly increased at the field level, indicating that these lands are likely not viable for bioenergy crop production to meet potential future renewable energy demand.     

资源配置视角下战略性新兴产业基地建设决策过程研究

采用案例分析法，以国家传感网创新示范区建设的决策过程为研究对象，从资源配置视角重新审视了战略性新兴产业基地建设的决策过程。结果表明，在战略性新兴产业基地建设决策过程中，地方政府充分发挥了主观能动性，与中央政府、科研机构及企业积极互动，获得了建设产业基地的资源。同时，中央政府完成了与产业基地甄选及部署相关的资源配置。     

A fuzzy goal programming approach to analyse sustainable development goals of India

Energy policy, environmental planning and economic development play a key role in sustainable development. Sustainable development requires suitable and strategic policies satisfying multiple and conflicting objectives. Fuzzy goal programming (FGP) is a well-known approach in multi-criteria decision-making for its practical application. In this article, a FGP approach is proposed to analyse environmental, energy and sustainability goals of India by the year 2030 with reference to the key economic sectors of India. The presented model analyses the improvement opportunities, requirement of efforts and implementation of the sustainable development plans. Numerical illustration is also provided for validation and application of the proposed model.     

Diversified behavioral portfolio as an alternative to Modern Portfolio Theory

The traditional mean–variance approach has been complemented by alternative theories that use risk measures different from standard deviation of returns or involve additional distributional features of returns like skewness and kurtosis. We propose a portfolio choice model that combines different distributional characteristics of the returns in the decision-making making process, considering preferences of investors which are modeled as non-statistical uncertainties of investors using fuzzy theory. We use 20 stocks of the S&P500 from January 2013 to December 2017. We assess the obtained portfolios’ performance, and the diversified behavioral portfolios outperform than the mean–variance portfolio. This methodological proposal can be seen as a strong managerial tool to make investment portfolio decisions.