企业员工的伦理决策意向研究——以道德成熟度、道德强度与伦理气候的影响为依据

文章以企业员工为考察对象,探讨个人面临道德困境时的伦理决策意向。样态架构以道德成熟度为预测变项,功利导向性气候为情境变数,经由道德强度知觉影响伦理决策意向。实证资料采用问卷调查,假设验证主要以回归及ANOVA进行分析。研究结果发现：个人道德成熟度是经由道德强度知觉对伦理决策意向产生的影响效果,道德成熟度对道德强度知觉有正向影响关系;在人际亲疏关系为疏远的条件下,道德强度知觉对伦理决策意向具正向影响关系,功利导向性气候则会干扰道德强度知觉对伦理决策意向的影响。     

基于模糊综合评价的企业危机评价及决策研究

激烈的市场竞争导致企业面临的各种不确定性因素日益增加,危机出现的概率及其可能造成的危害也在不断增大。文章基于对企业危机信息和危机决策特点的分析,提出了企业危机评价决策总体思路,指出危机的量化评价是危机决策的前提和基础。构建了一套评价企业危机程度的指标体系,通过引入企业危机指数作为企业危机预警的量化参考指标。由于危机评价指标既有明确的定量指标,也有模糊的定性指标,因此采用模糊综合评价法和层次分析法相结合对企业危机进行综合评价。在危机决策过程中,可基于危机指数建立企业危机预警和危机处理等级。根据预警等级可判断企业所处的危机状态,并可分析出危机发生的最可能原因。介绍了企业危机决策体系的组成,并从危机信息管理、企业危机评价、企业危机预测、危机决策支持等四个方面介绍了企业危机决策系统。最后给出了一个企业危机评价决策的实例用于说明文中的基本思想。     

关于我国反贫困问题的认识

反贫困是落实科学发展观、建设和谐社会的重大内涵之一。贫困,是指部分人在社会中由于种种原因被排挤到经济生活边缘、失去了过当时当地基本生活的可行能力的状态。贫困的形成有自然的、经济的、政治的、文化的多种原因。因此,反贫困不能搞单项对策,应实施反贫困的系统工程。     

金融素养、家庭财富与家庭创业决策

本文利用2015年中国家庭金融调查(CHFS)数据,分析了金融素养、家庭财富与家庭创业决策三者之间的关系。整体上,金融素养的提高显著增加了家庭参与创业的可能性,但家庭参与创业面临着"财富约束效应";而金融素养对家庭财富具有替代作用,提高金融素养有效缓解了家庭的"财富约束效应",促进家庭参与创业。同时,研究发现家庭财富对家庭创业决策的影响并不存在明显的城乡差异,但金融素养更能缓解农村家庭创业所面临的"财富约束效应"。另外,提高金融素养能有效缓解家庭的信贷约束,增加其风险偏好,间接地促进创业。     

Obstacles and solutions on the ladder of citizen participation: a systematic review

This article presents a systematic review of the English-language empirical literature about citizen participation to identify the obstacles to its implementation and the most successful ways to address them. Three sets of variables seem to impact effectiveness: contextual factors, including information asymmetries and public officials’ attitude; organizational arrangements, including community representation criteria and process design; and process management patterns, including group dynamics and collaboration quality. Two recommendations stem from our analysis: internalize decisions in organizational procedures, and establish ongoing interactions between government bodies and their stakeholders. We conclude that half-hearted engagement is unlikely to lead to successful citizen participation.     

GIS-based fuzzy multi-criteria approach for optimal site selection of fire stations in Istanbul,Turkey

Fire stations play a central role in protection and response activities as part of emergency management services in cases of fire incidences. With the rising urban populations and city expansions, the demand for more fire services resultantly increases. It then becomes critical to effectively plan the location of emergency facilities to adequately service the population and ensure the protection of lives and infrastructure. This study, therefore proposes the use of the fuzzy extension of the Multi-Criteria Decision-Making (MCDM) method of Analytical Hierarchical Process (AHP), hence called fuzzy AHP, integrated with Geographic Information Systems (GIS) approach to optimally site new fire stations for the case of Istanbul region. This proposed fuzzy approach simulates the subjective expert judgements for the preferences of the six criteria assessed for fire station suitability mapping and thereby accounted for the uncertainty of crisp comparison values via triangular fuzzy numbers (TFNs). The criteria weights evaluated from this procedure were used in a weighted overlay analysis of the reclassified criteria map layers in ArcGIS to generate a fire station suitability map. These resultant fuzzy AHP criteria weights were validated using another MCDM technique, called Best-Worst Method (BWM) and found to be comparable and consistent. The criteria that had the strongest influence on the selection of sites for fire stations were identified to be: the density of hazardous material facilities (DHM), a high population density (HPD) and proximity to main roads (PMR) with associated weights of 33.3%, 24.4% and 15.2%, respectively. Based on a thorough assessment within the areas represented by class values ranging from 3 to 5 on the suitability map, a total of 34 new fire station sites were selected complementing the existing 121 fire stations. Further, a prioritization analysis from low, medium to high, was performed to plan the phases for the construction of new fire stations in view of competing budgetary needs and resource constraints. The methodology to achieve this was proposed and modelled for enhancing the decision-making process in urban fire station site selection studies.     

Rotating group representatives and group members’ requests in repeated public goods game

ABSTRACT

This study investigated the effect of group representatives on contribution behaviour in response to group members’ requests in repeated public goods games. Data came from 135 students in 15 groups enrolled in the experiment, grouped in the following treatments: no group representatives (NR, NRG) and group representatives (R1, R2). We also tested initial requests wherein the group members’ initial requests (i.e. NRG, R2) mediated the positive relationship between individual-level contribution preferences and group contributions. We used a fixed-effects GLS regression and IV regression to analyse the effect of group representatives and group members’ requests. The results indicated the following: (a) rotating group representative/group members’ requests was related to group contributions at the session (within-members) and group (between-group) levels; (b) the reactions to members’ requests positively predicted group contributions; (c) subjects in the no group representatives treatment formed their requests by relying more on previous group contributions than subjects in the group representatives treatment, who relied more on the previous group members’ requests; and (d) the initial requests explained long-term contribution levels, which resulted in variations in group contributions observed between the NRG and R2 treatments. Our findings highlight the role of rotating group representatives in stimulating cooperation among members, while group members’ requests impel individuals to make contribution decisions at the group level.     

Exploring heritage tourism performance improvement for making sustainable development strategies using the hybrid-modified MADM model

Industrial heritage tourism has become increasingly popular in recent years. However, strategies for improving the industrial heritage tourism development-related performances are still an underdeveloped research topic academically. Therefore, this study’s purpose is to explore the feasibility performance-improving strategies using a hybrid-modified multiple attribute decision-making (MADM) based on the DEMATEL technique in constructing the influential network relation map (INRM) and in determining the influential weights of DANP. Then, the modified VIKOR method is combined with the influential weights of DANP, performance gaps were identified, and then the most effective strategies for improving tourism development-related performance at industrial heritage sites can be generated using INRM. Finally, an empirical real case study of a rehabilitated gold-mining site of Taiwan is used to demonstrate the effectiveness of the hybrid-modified MADM model. According to the results, the decision-makers should highly prioritize improving high-priority criteria such as ‘social usefulness’, ‘resource integration’, ‘destination policy and development’, ‘economic development’, ‘cultural links’, ‘cultural learning’, and ‘natural landscape resources’ in advance to successfully achieving the aspired performance levels. Additionally, this study suggests meaningful industrial heritage tourism performance improvement strategies that have been rehabilitated throughout the world.     

A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior

Developments in battery electric vehicles (BEVs) have received more and more attentions in the last decades due to alleviating carbon emissions and energy crisis. Consequently, how to rank alternative BEVs to assist consumers make better purchasing decisions is a worthy research study. However, there are still some defects in the existing studies for ranking of BEVs: 1) the evaluation index system of BEVs is not comprehensive; 2) the determination of criteria weights cannot be well applied to the actual purchase scenarios; and 3) the psychological behavior of consumers is ignored. To address those shortcomings, this paper proposes a decision support model to assist with consumers to buy BEVs. First, a systematic evaluation criteria system of BEVs including quantitative and qualitative indicators from parameter configurations and online reviews is constructed. Then, a weight algorithm considering consumer learning is proposed to determine the criteria weights. Furthermore, a decision support process considering consumers' regret avoidance behavior is proposed. Finally, an actual BEV purchase case is given to illustrate the practicability of the decision support model. This can be seen in case studies the proposed support model can be well applied to consumers with different regret avoidance behaviours.     

A fuzzy group decision-making approach in quality function deployment

Quality function deployment (QFD) is comprised of two major group decision-making processes. One is to collect the customer requirements from a group of customers, whereas the other is to determine the relationship between customer requirements and technical measures by a cross-functional team. Generally, different and/or even subjective opinions are quite often in a group decision-making process due to the limitations of experience and impreciseness. Obviously, the importance of each customer requirement and the relationship between customer requirements and technical measures are determined by a group of people with imprecision and vagueness. Under such circumstances, a fuzzy group decision-making approach can be applied in QFD to deal with a group decision-making process when the information is imprecise and fuzzy. Moreover, an example is provided as well as the computational steps to show this fuzzy group decision-making approach can be effectively used in QFD to make decisions with imprecision and vagueness.