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We examine the influence of the self-assessment and self-enhancement motives on the choice of comparison organizations in two experimental studies. Study 1 shows that: (1) self-assessment generally prevailed over self-enhancement, guiding decision makers to choose organizations that were more similar and had better performance; (2) self-enhancement was more pronounced under conditions of low performance, leading participants to more frequently choose organizations that were less similar and had lower performance; and (3) self-enhancing comparisons inhibited perceptions of failure and the propensity to make changes. Study 2 extends the results of Study 1 by showing that participants were more likely to choose comparison organizations that had lower performance and were less similar when they were in a self-enhancement mindset than when they were in a self-assessment mindset. The combined effects of self-assessment and self-enhancement on the choice of comparison organizations are discussed in relation to the broader organizational literature on learning from performance feedback.

Facilitated by image retouch tools, social media influencers can digitally enhance their self-image in product recommendation posts. This paper proposes that image enhancement may serve as a cue for the audience to assess the authenticity of the influencer (“true to oneself”), which further affects the influencer's product recommendation effectiveness (i.e. attitudes toward the post and recommended product).

Experiment 1 examines the effect of image enhancement on consumers' perceived influencer authenticity and product recommendation effectiveness. Experiment 2 considers the moderating role of post type, examining the effects in informational versus storytelling posts.

Consumers perceived an influencer to be more authentic when the image is not enhanced; in turn, consumers reported more favorable attitudes toward the post and the recommended product upon reading the post. The effects are moderated by post type: the effect of image enhancement (through perceived influencer authenticity) exists in posts using an informational message format but is attenuated for those using a storytelling message format.

This research enriches the literature on authenticity cues by documenting a novel visual cue and contributes to influencer marketing by identifying a nuanced interactive effect between image enhancement and post type on recommendation effectiveness.

Drawing upon the capability approach, this study aims to investigate the impact of sense of competence on work–life and life–work enhancements. It also examines the mediating roles of mindfulness and flow at work in the above relationships.

A sample of 254 medical doctors in various hospitals in Vietnam was surveyed to validate the measures via confirmatory factor analysis and to test the model and hypotheses using structural equation modeling.

The results demonstrate that mindfulness and flow at work fully mediate the effects of sense of competence on both work–life and life–work enhancements, but sense of competence does not have any direct effect on both.

To the best of the authors’ knowledge, this study is among the first to examine the roles of sense of competence, mindfulness and flow at work in work–life and life–work enhancements, adding further insight into the literature on work–life balance. It also offers evidence for the capacity approach in explaining work–life and life–work enhancements in an emerging market, Vietnam.

The purpose of this paper is to examine the influence of accounting students’ attitude on their current knowledge enhancement intention and the moderating role of the learning environment on the attitude-intention relationship. The relationship between current knowledge enhancement intention and level of current knowledge acquired is also investigated.

Copies of a structured questionnaire were randomly distributed to 400 final-year accounting students from three major public universities and 243 completed questionnaires were analyzed.

Attitude is a significant predictor of students’ current knowledge enhancement intention, which, in turn, positively impacts their level of current knowledge. The learning environment significantly moderates the attitude-intention relationship. An inhibiting learning environment tends to accentuate the differences in current knowledge enhancement intention between students with good attitude and those with poor attitude toward current knowledge enhancement.

The study has the limitations often associated with self-administered questionnaire research. The findings also may not be generalizable to other student and current knowledge settings.

There is a need to re-orientate the accounting curriculum design and the accounting academics’ attitude from one that is overly technical focussed to one that emphasizes on other competencies necessary for sustained professional success. Educators and teaching pedagogy that promotes a culture of lifelong learning and current knowledge enhancement among students should be encouraged.

This study fills the gap in the literature by examining the role of the learning environment not as a direct determinant of students’ attitude and their intention, but rather as a moderator of the attitude-intention relationship. The implication is that modifying the learning environment could facilitate or promote development of the desired attitude and hence, intention. The findings of this study support the moderating role of the learning environment in the relationship between current knowledge enhancement attitude and intention of accounting students in Malaysia.

The purpose of this paper is to examine the relationship between self-enhancement and helping behavior/intentions. Some people are more inclined than others to engage in helping behaviors. Determining what individual characteristics are related to helping behavior could have important implications for both marketers and non-profit organizations. Drawing on research on self-enhancement, this paper examines the relationship between the “above-average effect” (the tendency of individuals to rate themselves more favorably than they rate others) specifically on altruistic traits and helping behavior.

Data were collected through two surveys and analyzed with correlation analysis, path analysis and structural equation models.

In two studies, we find a positive relationship between interdependence and self-enhancement and a positive relationship between self-enhancement and helping behavior (volunteering in Study 1 and donation behavior in Study 2). We further show that self-enhancement mediates the effect of interdependence on helping. Personal importance of altruistic traits is shown to underlie these relationships.

By understanding the antecedents of helping behaviors, non-profit and charity organizations, social marketers and other advocates of pro-social behaviors can enhance the effectiveness of their appeals. Our findings provide insights for both messaging and targeting.

This study examines the relationship between self-enhancement and helping behavior. In so doing, it contributes to the self-enhancement literature by identifying the relationship between self-construal and self-enhancement. It also extends understanding of the relationship between these two constructs and helping behavior by revealing the mediating role of self-enhancement on helping behavior.

Fluid flow and heat transfer in a dual scale porous media is investigated to determine the interfacial convective heat transfer coefficient, numerically. The studied porous media is a periodic dual scale porous media. It consists of the square rods which are permeable in an aligned arrangement. It is aimed to observe the enhancement of heat transfer through the porous media, which is important for thermal designers, by inserting intra-pores into the square rods. A special attention is given to the roles of size and number of intra-pores on the heat transfer enhancement through the dual scale porous media. The role of intra-pores on the pressure drop of air flow through porous media is also investigated by calculation and comparison of the friction coefficient.

To calculate the interfacial convective heat transfer coefficient, the governing equations which are continuity, momentum and energy equations are solved to determine velocity, pressure and temperature fields. As the dual scale porous structure is periodic, a representative elementary volume is generated, and the governing equations are numerically solved for the selected representative volume. By using the obtained velocity, pressure and temperature fields and using volume average definition, the volume average of aforementioned parameters is calculated and upscaled. Then, the interfacial convective heat transfer coefficient and the friction coefficient is numerically determined. The interparticle porosity is changed between 0.4 and 0.75, while the intraparticle varies between 0.2 and 0.75 to explore the effect of intra-pore on heat transfer enhancement.

The obtained Nusselt number values are compared with corresponding mono-scale porous media, and it is found that heat transfer through a porous medium can be enhanced threefold (without the increase of pressure drop) by inserting intraparticle pores in flow direction. For the porous media with low values of interparticle porosity (i.e. = 0.4), an optimum intraparticle porosity exists for which the highest heat transfer enhancement can be achieved. This value was found around 0.3 when the interparticle porosity was 0.4.

The results of the study are interesting, especially from heat transfer enhancement point of view. However, further studies are required. For instance, studies should be performed to analyze the rate of the heat transfer enhancement for different shapes and arrangements of particles and a wider range of porosity. The other important parameter influencing heat transfer enhancement is the direction of pores. In the present study, the intraparticle pores are in flow direction; hence, the enhancement rate of heat transfer for different directions of pores must also be investigated.

The application of dual scale porous media is widely faced in daily life, nature and industry. The flowing of a fluid through a fiber mat, woven fiber bundles, multifilament textile fibers, oil filters and fractured porous media are some examples for the application of the heat and fluid flow through a dual scale porous media. Heat transfer enhancement.

The enhancement of heat transfer is a significant topic that gained the attention of researchers in recent years. The importance of topic increases day-by-day because of further demands for downsizing of thermal equipment and heat recovery devices. The aim of thermal designers is to enhance heat transfer rate in thermal devices and to reduce their volume (and/or weight in some applications) by using lower mechanical power for cooling.

The present study might be the first study on determination of thermal transport properties of dual scale porous media yielded interesting results such as considerable enhancement of heat transfer by using proper intraparticle channels in a porous medium.

This study aimed to test Early and Ang’s (2003) proposition that self-enhancement hinders successful cross-cultural adjustment. The literature on self-enhancement is reviewed, and the overclaiming technique as an unobtrusive measure of self-enhancement is introduced for use in global mobility contexts.

Using the overclaiming technique, an international-cultural overclaiming test was developed. Expatriates in Singapore stated their familiarity with international-cultural knowledge items, with some of them being foil items, and rated their cross-cultural (general, interaction, work) adjustment. Supervisors rated the expatriates on their work adjustment and performance.

Overclaiming was not related to self-rated cross-cultural adjustment. However, overclaiming was negatively related to supervisor rated work adjustment and performance. Additionally, the results showed that international-cultural knowledge accuracy was positively related to self-rated general adjustment and to supervisor rated work adjustment and performance.

The small sample size with a majority of expatriate teachers from international schools in the sample makes it necessary for the results to be replicated with larger and more varied expatriate samples.

While further validation is needed, this research indicates that the overclaiming technique could be a valuable tool for assessing self-enhancement in candidates for expatriate positions in order to gauge potential cross-cultural (mal)adjustment, as perceived by others.

This study was (likely) the first study that has applied the overclaiming technique in a global mobility context. An international-cultural knowledge overclaiming test is provided to academic researchers for future use.

Assumptions regarding the effect of leader self-enhancement values on leader-follower relationships are oversimplified. To advance this conversation, we test non-linear and congruence effects. We hypothesize that leader self-enhancement values (via prestige) have an inverted U-shaped relationship with employee perceptions of leader-member exchange (LMX) and leader interpersonal justice, and that leader-follower incongruence is negatively related to LMX and interpersonal justice.

To evaluate our hypotheses we use hierarchical regression, polynomial regression, and surface plot analysis. Our sample consists of 193 leader-follower dyads from a variety of organizations.

LMX and interpersonal justice increase as leader self-enhancement increases, but begin to decrease at higher levels of self-enhancement values. Additionally, leader-follower self-enhancement incongruence is negatively related to interpersonal justice. Finally, LMX is lowest when leaders are higher than followers in self-enhancement values compared to when followers are higher than leaders.

It is critical to evaluate the level of leader self-enhancement values and/or the joint influence of the follower values (self-enhancement) to fully understand the effect of leader values on follower perceptions of the dyadic relationship. Organizations interested in facilitating high-quality leader-follower relationships should focus on the levels of the values and on mechanisms that facilitate leader-follower value alignment.

This work extends prior research assuming a direct, linear effect of leader self-enhancement values on follower outcomes. To fully understand the influence of leader values it is important to consider curvilinear and congruence effects.

The purpose of the present work is to design robust estimators for speech enhancement by incorporation of calculation rank-order statistics and locally-adaptive neighborhoods. The proposed estimators are able to increase the speech quality of a noisy signal, to preserve better speech intelligibility, and to introduce less artifacts comparing with known speech enhancement estimators.

We design a novel speech enhancement algorithm based on rank-order statistics and local adaptive signal processing to improve the accuracy of existing speech enhancement estimators, in terms of speech quality, intelligibility, and introduction of artificial artifacts.

We found that by using the proposed estimators for speech enhancement we obtain a better adaptation to nonstationary characteristics of speech and noise processes comparing with that of known speech enhancement estimators. The proposed algorithm increases speech quality, preserves better speech intelligibility, and introduces less artifacts comparing with known speech enhancement estimators.

The proposed approach for speech enhancement is a locally-adaptive signal processing performed for each element of a noisy speech signal. Thus, the main limitation of the proposed approach is an increase of computational complexity compared with that of nonadaptive conventional techniques.

In order to perform real-time speech enhancement with the proposed approach, it is recommended to use a digital system with a fast processor. Another option is by using a parallel architecture such as a FPGA.

We propose a novel local-adaptive algorithm for robust speech enhancement by incorporation of calculation of rank-order statistics and local-adaptive neighborhoods. The proposed algorithm is able to adjust itself in response to changes in the statistical properties of ambience noise.

Corporate universities are regarded as the knowledge management institution of enterprises, but how to improve knowledge enhancement function has not been investigated. Constructed upon the knowledge-based view, the purpose of this study is to investigate the influencing factors of knowledge enhancement of corporate universities.

This paper takes 34 Chinese corporate universities as samples. The influencing factors and interrelationships are checked through exploratory case study and multi-case analysis. A “stimulate-action” model of influencing factors is built up based on the multi-case analysis. The fuzzy set qualitative comparative analysis is used to examine configurational paths for knowledge enhancement.

The research finding shows that only a single element of knowledge management does not constitute a necessary condition for knowledge enhancement of corporate university and explored the concurrent synergy effect and linkage matching mode of multiple conditions of knowledge management. Most of the knowledge-enhanced corporate universities are of strengthening the knowledge process, which shows that sorting out the knowledge process is the core of the corporate university.

Unlike the existing research, the external teachers and combing of external knowledge processes are the key factors; this paper proposed that the internal teachers and sorting out the knowledge process within the enterprise play a central role in the knowledge enhancement of corporate universities. The path of high-knowledge enhancement and without high-knowledge enhancement is asymmetry. This paper refined and extended the application of the knowledge management framework in explaining multiple conjunctural causations and improves the relevant theories of organizational knowledge management in the Chinese context.