Search results

The purpose of this paper is to construct a novel grey dominance variable precision rough model.

To deal with the problems that the attribute values of the decision-making object are often not exact numbers but interval grey numbers, and the decision-making attributes satisfy a certain preference relationship in the decision-making information because of the complexity and uncertainty of the real world, the authors take advantage of the theoretical thinking of the grey systems, dominance rough set theory and variable precision rough set theory, and construct a novel dominance variable precision rough set model. On the basis of the thinking logic of grey systems, the authors first define the concepts of balance degree, dominance degree and inferior degree, and then the grey dominance relationship based on the comparison of interval grey numbers. Then the authors use the grey dominance relationship to substitute for the indiscernibility relationship of the variable precision rough set so that the grey dominance variable precision rough model is naturally utilized to reduce the system's attributes in order to derive the needed decision rules. At the end, the authors use a decision-making example of the radar target selection to demonstrate the feasibility and effectiveness of the novel model.

The results show that the proposed model possesses certain fault tolerance ability and can well-realize decision rule extraction and knowledge discovery out of a given incomplete information system.

The method exposed in the paper can be used to deal with the decision-making problems with the grey information, preference information and noise data.

The paper succeeds in realizing both the grey decision-making information with preference information and noise data and the extraction of decision-making rules.

Examines the pioneering work of the European Commission, with the support of the European Court of Justice (ECJ) and the European Court of First Instance (ECFI), to apply the merger control of regulation (MCR) to situations of collective as well as to single dominance. Reveals that the Commission first applied the notion of collective dominance in the Nestlé Perrier merger in 1992 but that the legality of this practice was questionable, given that the express wording of the MCR does not mention the notion. The legal challenge arose from the takeover of Mitteldeutsche Kali AG by Kali und Salz with the landmark judgment favouring the stance of the Commission – the MCR does encompass situations of collective dominance. Examines why the court reached this decision, particularly given that the Advocate General’s opinion was exactly the opposite.

The purposes of the study were (1) to examine whether directional dominance between co-existing athlete brands and sponsor brands exists; (2) to explore whether directional dominance influences consumers' memory interference; and (3) to test whether brand interference interacts with directional dominance among brands to influence consumer evaluation and behaviors under multiple endorsement and sponsorship portfolios.

The research is a 3 (directional dominance: symmetric dominance vs. asymmetric dominance with existing vs. asymmetric dominance with newly endorsed brand) x 2 (brand memory interference: interference vs. no interference) between-subjects factorial design.

The results indicate that (1) directional dominance influenced consumer brand interference, and directional dominance interacted with brand interference on (2) brand evaluation and (3) purchase intention in multiple brand portfolios.

Considering that conventional single-sponsor sponsorship or single-endorser endorsement portfolios are increasingly rare, research on concurrent circumstances of multiple endorsers and multiple endorsed brands in multiple brand portfolios was necessary. By expanding and reconceptualizing the context of brand networks, this study provides empirical evidence on how the dominance and directionality between endorser and (existing and newly) endorsed brands—an athlete endorser's strong pre-existing association with an existing endorsed brand in particular—influenced consumer brand interference and the brand evaluation in multiple brand portfolios.

The purpose of this paper is to investigate whether innovation effort is lower for firms exhibiting signs of higher chief executive officer (CEO) dominance and whether such CEOs can be incentivized to pursue risky ventures such as innovation projects in line with shareholder's interests that are geared toward the long-term growth of the firm.

The paper utilizes panel data of US publicly listed companies (2007–2016) to address the influence of CEO dominance on firm innovation effort and the moderating effects of incentives in this relationship through ordinary least squares (OLS) estimations. A two-stage least squares (2SLS) technique is also employed to address possible endogeneity. As a robustness check, further analysis is conducted utilizing an alternative proxy for CEO incentive as well as Tobit analysis (with panel-level random effects).

Results from both OLS and Tobit estimations offer two key findings. First, there is a significantly negative relationship between CEO pay slice and firm research and development (R&D) intensity. Second, the interaction effect of CEO incentives and CEO dominance is significant and positive.

When provided with the right incentives, such as those that reward long-term performance, dominant CEOs can be incentivized to go after risky ventures like innovation projects that are crucial to promoting the long-term growth of the firm.

This paper utilizes R&D instead of patent outputs as proxies for innovation where the former enables studying R&D efforts for more recent periods compared to prior studies that utilize patent data.

With respect to multiple attribute group decision-making (MAGDM) in which the assessment values of alternatives are denoted by normal discrete fuzzy variables (NDFVs) and the weight information of attributes is incompletely known, this paper aims to develop a novel fuzzy stochastic MAGDM method based on credibility theory and fuzzy stochastic dominance, and then applies the proposed method for selecting the most desirable investment alternative under uncertain environment.

First, by aggregating the membership degrees of an alternative to a scale provided by all decision-makers into a triangular fuzzy number, the credibility degree and expect the value of a triangular fuzzy number are calculated to construct the group fuzzy stochastic decision matrix. Second, based on determining the credibility distribution functions of NDFVs, the fuzzy stochastic dominance relations between alternatives on each attribute are obtained and the fuzzy stochastic dominance degree matrices are constructed by calculating the dominance degrees that one alternative dominates another on each attribute. Subsequently, calculating the overall fuzzy stochastic dominance degrees of an alternative on each attribute, a single objective non-linear optimization model is established to determine the weights of attributes by maximizing the relative closeness coefficients of all alternatives to positive ideal solution. If the information about attribute weights is completely unknown, the idea of maximizing deviation is used to determine the weights of attributes. Finally, the ranking order of alternatives is determined according to the descending order of corresponding relative closeness coefficients and the best alternative is determined.

This paper proposes a novel fuzzy stochastic MAGDM method based on credibility theory and fuzzy stochastic dominance, and a case study of investment alternative selection problem is provided to illustrate the applicability and sensitivity of the proposed method and its effectiveness is demonstrated by comparison analysis with the proposed method with the existing fuzzy stochastic MAGDM method. The result shows that the proposed method is useful to solve the MAGDM problems in which the assessment values of alternatives are denoted by NDFVs and the weight information of attributes is incompletely known.

The contributions of this paper are that to describe the dominance relations between fuzzy variables reasonably and quantitatively, the fuzzy stochastic dominance relations between any two fuzzy variables are redefined and the concept of fuzzy stochastic dominance degree is proposed to measure the dominance degree that one fuzzy variable dominate another; Based on credibility theory and fuzzy stochastic dominance, a novel fuzzy stochastic MAGDM method is proposed to solve MAGDM problems in which the assessment values of alternatives are denoted by NDFVs and the weight information of attributes is incompletely known. The proposed method has a clear logic, which not only can enrich and develop the theories and methods of MAGDM but also provides decision-makers a novel method for solving fuzzy stochastic MAGDM problems.

It is arguable that the central questions requiring explanation by the behavioural and social sciences are those falling under the rubric “nature vs. nurture”. To be sure, the issue is oversimplified when stated so simply; there are both physiological and environmental elements in the causation of behaviour, as well as feedback through which each alters the other. Moreover, discussions of this dichotomy can often be seen to be sterile arguments about definition, rather than answers to the empirical question of what is, in fact, happening. What matters is not “nature” or “nurture” in the abstract, but the roles physiology, environment, and the interaction of the two play in generating specific behaviour.

The purpose of this study is to evaluate the tempering effect of the presence of a female chief financial officer (CFO) on potentially dominant chief executive officer (CEO) behavior expressed through the overvaluing of acquisition premiums.

This study used Securities Data Corporation (SDC) database data over an eight-year period to analyze the relationships between CEO dominance and the acquisition premiums paid in an acquisition deal. The study also analyzes the effect of CFO gender in curbing CEO dominance in the acquisition deals. The authors employ clustered standard errors ordinary least squares (OLS) regression analysis along with robustness testing, which supports the validity of our conclusions.

The authors expect and find that as CEO dominance rises, so does the acquisition premium; however, the presence of a female CFO in such situations significantly reduces the overpayment of the acquisition premium.

The study findings advocate for organizational change in the form of an increased presence of female CFOs within business organizations.

This study contributes to the accounting literature by timely exploiting a rising trend in which female executives are expected to become more prolific. The authors’ research indicates that their entrenchment into business organizations, thereby promoting gender diversity, produces beneficial outcomes for those organizations. It also capitalizes on the specific attributes of the CEO–CFO relationship, which lends itself to particular effectiveness in the hands of female CFOs.

The purpose of this paper is to use a stochastic dominance test to examine the relative performance of value vs growth stocks based on multiple value-growth proxies in the Taiwan stock market.

This work examines whether the return distribution of a value portfolio stochastically dominates that of a growth portfolio using a test proposed by Linton et al. (2005).

By applying stochastic dominance analysis on the full-sample period, the sub-sample period and the state of the world’s economic conditions, the authors find that the earnings-to-price or dividend-to-price ratio is better than the book-to-market ratio as a value-growth proxy in Taiwan. There are robust results even after adjusting for data frequency, a sampling method and sample excluding financial services.

This study makes the first attempt to examine value vs growth strategies based on multiple value-growth proxies in the emerging market of Taiwan by administering the stochastic dominance test.

Drawing on the dual-strategies theory of social rank and leader distance theory, this paper aims to investigate the influence of supervisor bottom-line mentality (BLM) on employee knowledge-related behaviors by considering the mediating role of perceived leader prestige or dominance and the moderating role of supervisor–subordinate guanxi (SSG).

This study collected survey data from 185 research and development employees in East China at three-time points. The authors conducted path analysis and bootstrapping-based analytic approach to test the hypotheses by Mplus7.0.

The results showed that supervisor BLM has a negative effect on employee knowledge sharing and a positive effect on knowledge hiding. Besides, perceived leader prestige or dominance mediated the relationship between supervisor BLM and employee knowledge hiding. Furthermore, SSG moderated the relationship between supervisor BLM and perceived leader prestige or dominance, as well as the indirect effects of supervisor BLM on knowledge hiding via perceived leader prestige or dominance.

There is limited research on investigating the influence of supervisor BLM in the field of knowledge management. The authors carried out this study to provide evidence of how and when supervisor BLM affects employee knowledge sharing and hiding.

This study using a prison sample to explore Social Dominance Orientation (SDO), socially dominant inmate behaviour, index offence, age and length of time served in secure environments. A sample of 397 adult male prisoners completed the Direct and Indirect Prisoner Behaviour Checklist‐ Scaled (prisoner behaviour towards other inmates and staff) and the Social Dominance Orientation (SDO) Scale. It was predicted that prisoners would report higher SDO than non‐incarcerated populations and that among inmates those with approach orientated index offences would be higher in SDO than those whose offenses were more remote. It was also predicted that SDO would be related to younger age, higher lifetime rates of incarceration, more negative behaviour towards other inmates and staff, and more resource focused behaviour. The results broadly supported predictions, and possible implications for practice and directions for future research are discussed.