Improving candy industry competitiveness: Retailers’ perception regarding customer satisfaction

This study aims to classify service quality elements in candy industry in order to determine their instrumentality to customer satisfaction. To address this purpose, a Fuzzy Kano questionnaire was distributed to 512 major retailers of candy products of four predominant candy companies in Iran. Subsequently, we calculated satisfaction increment index (SII) and dissatisfaction decrement index (DDI) for each of the quality elements. Brand name and quality are considered as must-be elements, while availability of credit purchases is considered as indifferent element by the majority of retailers. Eight out of 24 studied elements are found to be considered as attractive elements by majority of customers. Regular visits element ranks first in terms of satisfaction increment index (SII). This paper provides helpful insight for marketers to prioritize improvement of different quality elements. Therefore, this paper helps organizations to perceive their customers needs more thoroughly and improve their customer satisfaction policy.     

An integrated SWOT based fuzzy AHP and fuzzy MARCOS methodology for digital transformation strategy analysis in airline industry

Driven by business strategies, digital transformation (DT) facilitates dramatic change in air passenger behavior. This study aims to determine and analyze different DT strategies (DTSs) with the help of an integrated SWOT-based fuzzy AHP-MARCOS methodology that is proposed for the first time in the literature for this purpose. This methodology is validated with a case study concerning the airline industry in Turkey. The weights of the SWOT factors are determined with the fuzzy AHP method. The fuzzy MARCOS approach is used to select the most suitable DTS. The most appropriate strategy is obtained as “focusing on differentiated digital customer experience and service quality by the adaptation of business models to DT to provide benefits”.     

Investigating the causal configurations of cost-efficient firms at the bottom of the pyramid

This study highlights how social and commercial enterprises with local and global presence, balance their economic and social goals, to sustainably serve the bottom-of-the-pyramid (BoP) markets, predominantly in emerging economies. Employing the lens of transaction cost economics and configurational theory, we propose that successful venturing into the BoP markets, sensitize firms to create appropriate governance mechanisms for reducing transaction costs, resulting in creation and capture of values. Further, these mechanisms enable those firms to attain cost efficiency and sustainability in the process of fulfilling their social objectives. To that end, we employed the case survey method to analyse 42 cases, from the Harvard Business School repository, on multinational enterprises (MNEs) in emerging economies. Further, we used qualitative comparative analysis to uncover the various causal governance configurations that enabled those firms to sustainably serve the BoP markets.     

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.     

基于模糊时间序列的预测模型——以上证指数为例

模糊理论使用语义变量本身所蕴含的特性,能减少处理问题时的不确定性所带来的困扰,被广泛的应用于各种领域的研究。首先回顾了基于模糊理论的模糊时间序列定义,对现有的模糊时间序列模型进行分析;在此基础上提出了一种新的模糊时间序列预测方法,以上证指数为对象进行了拟合。从结果看,新的基于模糊时间序列预测方法在MSN、平均误差(%)和标准误差(%)等指标上要优于现有的的预测方法。     

工商管理专业本地化案例教学效果模糊综合评价

本文是针对当前高校工商管理专业案例的使用问题所作的研究,为了解决长期以来洋案例给工商管理专业教学带来的水土不服问题,与实践相脱节等问题。本研究采用理模糊综合评价法避免了以往研究中的主观性,更加科学地对工商管理专业本土化案例教学课程体系进行了评价。     

锌银蓄电池智能充电机设计

介绍了一种基于单片机与专用集成PWM控制器SG3525的锌银蓄电池充电机。在分析锌银蓄电池特性基础上,采用模糊算法控制和单片机智能控制,对充电状态实时监控,并采用分段式充电方案,提高充电稳定性,克服了电压突变等带来的充电假结束或不饱和的缺点。通过在常规的BUCK充电电路中设计2只开关管轮流导通方式,使开关管工作在轮流导通状态,并通过实验进行验证,解决了驱动电路变压器驱动能力问题。     

基于PDM的定制产品设计方案优化研究

在MC模式下,面对客户的个性化需求,我们通常借助QFD完成由需求向定制产品设计方案的转换,但是一个现实的矛盾是,在无限的个性化需求与有限的定制产品配置方案之间,如何确定现实的产品配置方案,以最大限度地满足客户需求。基于完善的PDM,从准确获取客户需求意愿的角度入手,对照定制产品方案集,借助权的最小平方法以及TOPSIS算法,探讨了从个性需求到产品设计方案的定量转化方法。     

Evaluating and Categorizing Cruise Lines by ship attributes: A Comparison Between Cruisers and Experts

Electronic Word-of-Mouth (eWOM) is an important information source used by consumers to make travel decisions. However, eWOM from travel experts and everyday travelers can be inconsistent, potentially leading to blurred product evaluations and market positioning. This paper examines this issue in the context of the cruise industry with the goal of identifying differences in the evaluation of cruise brands by cruise experts and consumers, as well as the product factors that influence these judgements. The research used a data-driven empirical approach and secondary data from a leading cruise review site consisting of scaled ratings across 9 ship attributes and 24 brands by more than 150,000 cruisers and 174 experts. Data analysis using the TOPSIS method and regression and multigroup models shows that experts and cruisers evaluate cruise brands differently and are influenced by different ship attributes when forming evaluations. For example, value-add attributes (e.g., service, enrichment activities, fitness/recreation) significantly influence overall evaluations for cruisers, while core attributes (e.g., cabin, dining, entertainment) significantly influence overall evaluations for experts. Discussion of the empirical results highlights these differences in cruiser vs. expert perceptions as revealed online, as well as the need to update traditional cruise industry categorization to optimize brand positioning and better align product-marketing strategies for effective target marketing.     

一种双模导引头目标检测的模糊数据融合算法

本文利用模糊集合来描述传感器的检测率和虚警率,提出了一种双传感器目标检测的模糊数据融合算法,并将其应用于双模复合导引头的目标检测,仿真结果表明算法合理。