A Hierarchical Clustering Approach Based on Three-Dimensional Gray Relational Analysis for Clustering a Large Group of Decision Makers with Double Information

Two types of information, collectively referred to as double information, are usually required in management decision-making. The first is preference information expressed in a judgment matrix. The second is reference information expressed in a multi-attribute decision matrix. In this paper, we investigate large-scale group clustering problems with double information in group decision-making. We first establish a novel three-dimensional gray correlation degree index, which integrates the alternative decision-making vector, index vector and alternative preference vector, to fully excavate the correlation between decision makers with double information. We then develop a new clustering procedure combining three-dimensional gray relational analysis and the concept of hierarchical clustering. Moreover, a model for determining clustering centers is established on the basis of the maximum gray correlation degree within each cluster and minimum gray correlation degree among clusters. A heuristic algorithm for the model to identify the core decision maker in each cluster is proposed. Finally, we illustrate the applications of the developed procedures with a practical case. The rationality of the proposed method is demonstrated by comparing results with results obtained using other methods, including the traditional gray clustering method and hierarchical clustering method with single information; i.e., preference information or reference information.     

Following brands on Twitter: an extension of theory of planned behavior

Due to its immediacy and efficiency, Twitter has recently emerged as a form of marketing communication tool that offers unique advantages for two-way communication between marketers and consumers. This study examines brand-following behavior on Twitter using the Ajzen's model of theory of planned behavior (TPB). Results show that attitude toward brand following, subjective norm, perceived behavioral control, and brand attachment are positively associated with intention to follow brands on Twitter. Consumers’ intention to create (i.e., intention to tweet at brands) and disseminate (i.e., intention to retweet the links of brands) brand-related information, as well as purchase intention, are the outcomes of intention to follow brands on Twitter. Overall findings suggest that TPB model can be used to predict Twitter users’ brand-following behavior. More importantly, our finding that brand attachment drives consumer intention to follow brands on Twitter extends the TPB framework. This study provides both theoretical and managerial implications.     

天地一体化超视距雷达的激励源设计

针对单通道天地一体化超视距雷达不能多站组网的问题,设计了一种新型的激励源系统。系统利用现场可编程门阵列（FPGA）和通用串行总线（USB）实现多路发射通道控制,并通过直接数字式频率合成器（DDS）产生初始相位周期变化的线性调频波。理论分析表明,回波信号经过两次频谱变换能产生特定的多普勒频移,从而在多普勒频谱上被展开,实现信号多发一收。实验结果验证了激励源设计的可行性,可用于多站同步观测。     

The Doctrine of the Mean: Workplace Relationships and Turnover Intention

The present study examines the curvilinear relationships between LMX/TMX and team members' turnover intention simultaneously. That is, members with high LMX, TMX, or both are more likely to have turnover intention. Hypotheses were tested with a sample of 452 nurses, and we adopted the response surface methodology and polynomial regression to test our theoretical model. The hierarchical regression analysis showed that TMX has a U‐shaped relationship with turnover intention but not with LMX. In addition, the results indicate that both the congruence and incongruence of LMX and TMX result in higher turnover intention, but moderate levels of LMX and TMX have the lowest turnover intention. Strengths, limitations, practical implications, and directions for future research are discussed. Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd.     

Out of Nothing

Wit Yuntie’s painting isgood-looking,not only for the refined and beautiful effect but also for many inexplicable things filled up in the work,which makes it interesting.To me,he is also interesting,because he is a thinking and questioning stubborn person.For example,he once recorded a song which sounds like an over-careful Young Werther,and also a sunshine and     

Co-production of service innovations through dynamic capability enhancement

The main aim of this paper is to investigate the effect of co-production practices with customers on service innovation. Specifically, we sought to determine whether dynamic capabilities (the specific abilities a company has to shape, reshape, configure, and reconfigure idiosyncratic assets to respond to changing technologies and markets) could mediate the effect of co-production on service innovation. In this paper, we examine the factors that could influence co-production practices and determine whether organizational commitment moderates the effect of co-production practice on an organization's dynamic capabilities. Using a survey approach of Taiwanese firms, we showed that dynamic capability fully mediates the effects of co-production practice on service innovation and that market orientation and customer matching have a significant influence on co-production practices. In addition, this study has empirically demonstrated that service firms would be well advised to engage in developing service innovation through enhancing their own dynamic capabilities.     

Trust Erosion During Industry-Wide Crises: The Central Role of Consumer Legitimacy Judgement

Journal of Business Ethics - Widespread unethical corporate misconduct in an industry triggers industry-wide crises. This research investigates how industry misconduct affects consumers’...     

Does environmental underperformance duration affect firms' green innovation? Evidence from China

Does the length of a firm's environmental underperformance shape its green innovation? Drawing on the behavioral theory of the firm, we argue that the duration of a firm's environmental underperformance plays an important role in shaping its green innovation activities. Using the data from Chinese publicly listed firms spanning from 2010 to 2018, we find that the duration of environmental underperformance has a U-shaped effect on a firm's green innovation, possibly due to competing short- and long-term solutions to regain legitimacy. We also find that this relationship is moderated by environmental underperformance intensity and analyst recommendation pressure. Our study contributes to the literature on green innovation and the behavioral theory of the firm. We discuss the implications for policymakers and managers.     

Factors Influencing the Incidence of Bribery Payouts by Firms: A Cross-Country Analysis

This article explores micro- and macro-level variables that influence the incidence of bribery payouts by firms. A rich data set with information from 55 countries was utilized to achieve this objective. Results of logit regression models indicate that there are a number of micro- and macro-level factors that significantly affect the incidence of bribery payouts. This suggests that it is not only the characteristics of a firm but also the environment of doing business that affect the firm’s bribery decision. The results of this study provides information that may help firms develop strategies to reduce corruption in their respective industries and thereby improve their image of corporate social responsibility. The analysis also points to possible policy directions that governments could undertake in order to reduce the incidence of bribery in their country.      

妥善应对全球通账

<正>随着国际市场石油和农产品等大宗商品价格的大幅攀升,大多数国家和地区都面临日益严重的通胀压力。IMF近期警告全球通胀已成为世界经济的主要威胁,并继次贷危机引发的全球信贷市场危机之后,成为当前全球各国需要面对的首要问题。跟踪全球性通胀的走势并正确应对,成为我国当前的重要课题。