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This paper aims to propose a novel candidate view of research on employer reputation. The authors examine how candidates evaluate a company’s employer reputation after failing in the job application process.

The data were mainly collected from Chinese university students. Regression analysis was used to evaluate the proposed hypotheses (n = 246).

The study reveals how candidates vary in their attributions of job-hunting failures and evaluations of employer reputation considering their different personalities (i.e. extraversion) and corporations’ procedural justice in the selection process. The empirical results show that rejected candidates’ trait extraversion and procedural justice in the selection process combine to influence internal attributions and thus affect their evaluations of employer reputation.

Understanding how rejected candidates evaluate employer reputation is vital to advancing employer reputation theory. This is one of the few studies to pursue this line of research. The research may also help companies develop more effective strategies to manage the candidates they reject and to maintain their employer reputations.

This study aims to establish the linkage among export tax rebate (ETR), firm innovation and product quality of Chinese agricultural product processing industry (APPI), so that more targeted policy implications can be discussed.

Using highly disaggregated firm-product-destination-level data through 2001 to 2013 of Chinese APPI, this study employs a two-way fixed effects specification to establish the linkage between ETR and product quality, while the mediational model is adopted to examine potential mechanisms.

Baseline estimates show that a 1% increase in ETR rate leads to a significant increase in the product quality of APPI by 0.12% on the whole. However, there is a nonlinear, inverse-U shaped relationship between ETR and product quality, and the optimal inflection point occurs when ERT rate equals 0.15. Mechanism analyses show that firm innovation is an important impact channel, which explains 9.8% of quality improvement induced by raising ETR. Further heterogeneous analyses reveal both the total effects of ETR on product quality and the mediation effects of innovation are dominated by young SMEs (small and medium-size enterprises).

Authorities can promote the innovation and then product quality improvement of young SMEs by moderately increasing ETR rate. To ensure ETR more effective in improving quality, it is necessary for the government to encourage innovation. Authorities can reduce the risk of innovation failure for low-tech firms by increasing R&D subsidies, while ensuring innovation returns for high-tech firms in combination with stronger intellectual property protection.

First, this is one of the earlier studies to explore the relationship between ETR and product quality specifically for Chinese APPI. Second, we show firm innovation as an important mediator so that policies aim at raising ETR rates are eventually beneficial to product quality. Third, using the highly disaggregated data, we allow ETR rate to vary across different products, which is an improvement in the accuracy of previous literature. Finally, our research provides additional empirical evidence for revealing the micro-mechanism of ETR affecting firm behaviors.

The objective of this study was to examine how high-social and low-social virtual live streamers affect consumers' experiential value (utilitarian value and hedonic value) and the mechanism and boundary conditions behind the effect.

The research consisted of four laboratory experiments.

The results showed that socialness has a positive significant effect on experiential value. Social presence mediated the effect of socialness on utilitarian value and hedonic value. In the relationship between socialness and experiential value, the moderating effects of communication style and situation were significant.

This study provides managerial implications for online stores about the use of virtual live streamers.

The finding of this paper extends the literature on virtual humans or avatars, enriches the literature on the characteristics of virtual humans and tests the explanatory power of social response theory.

The purpose of this paper is to develop a systematic understanding of the mechanisms through which high-performance work systems (HPWSs) facilitate the incremental and radical innovative capabilities of organizations. Using a knowledge-based view of the firm, the paper introduces the mediating role of intellectual capital (composed of human, organizational and social capital) while examining this issue.

Data were collected using a questionnaire survey approach from 164 firms in the People's Republic of China. The paper used analyses based on structural equation modeling to measure the main constructs and test the hypothesized relationships among the variables.

The results indicate that HPWSs contribute to both the incremental and radical innovative capabilities of organizations. In addition, intellectual capital mediates the relationships between HPWSs and different types of innovative capabilities. Specifically, organizational and social capital mediate the relationship between HPWSs and incremental innovative capability, whereas social capital mediates the relationship between HPWSs and radical innovative capability.

The study supports and expands on the strategic human resource management (SHRM) literature and knowledge-based view of the firm in terms of whether, why and how HPWSs can develop a competitive advantage on the basis of innovation.

This paper aims to investigate whether electroencephalography (EEG) technology is effective in qualifying the tactile sensation evoked by non-steady cutaneous electrical stimulation. EEG is a novel method for electrotactile analysis and has demonstrated the discrimination ability for electrotactile sensation under steady contact conditions in recent years. However, in non-steady contact conditions, it is necessary to test its effectiveness. This study aims to explore an objective analysis method in comparison to psychophysical approach and to provide a methodology for non-steady electrotactile research.

With EEG experimentation on 13 volunteers, the authors collected evoked potentials by the predesigned “1” and “0” stimulation events. In addition, with a series of data preprocessing including artifact elimination, band-pass filtering, baseline normalization, data superposition and fast Fourier transform transformation, the authors got the power spectrum of alpha, beta and gamma rhythms. Furthermore, statistics analysis and ANOVA test were adopted for exploring the discrepancy of the spectrum characterizations for different non-steady electrostimulation events.

The EEG power spectrum of the central cortical brain is valuable in discriminating the two types of stimulation events. The power of alpha rhythm especially in the central cortical brain evoked by event “1,” whose current level is equal to the threshold, was significantly lower than that evoked by event “0,” whose level is less than the threshold (p < 0.05). Then, the power of the beta rhythm presented counter-change (p < 0.05). This study suggests that EEG may have the potential to qualify non-steady electrotactile sensation for engineering applications.

Limiting factors of non-steady electrotactile stimulation were considered in this study. Different tapping frequency and contact time should be investigated in future studies.

This paper fulfills a challenge in qualifying the tactile sensations evoked by non-steady electrical stimulation with EEG characteristics.

Reportedly, green roof (GR) makes a significant contribution towards a truly sustainable-built environment; however, its implementation is yet to hit a sufficient level in developing countries. Thus, this study assesses GR implementation strategies in developing countries by providing a comparative analysis through experts in Kazakhstan, Malaysia and Turkey.

The study adopts a four-step methodological approach to achieve the research aim: literature review, focus group discussion, fuzzy analytical hierarchy process (FAHP) analysis and correlation analyses. First, a literature review followed by a focus group discussion is used to determine 18 (out of 25 initially) strategies for the selected context and these are classified into three categories: governmental and institutional support, knowledge and information and policy and regulation. Afterward, the identified GR strategies are evaluated using the FAHP with the data gathered from the experts in the countries studied. Finally, correlation analyses were used to observe the strength of agreement between the assessments of experts from the included countries.

The findings indicate that financial incentives, low-cost government loans and subsidies and tax rebates are the essential strategies for the wider adoption of GR. Evaluating the policy and regulations strategies also showed that mandatory GR policies and regulations and better enforcement of the developed GR policies are ranked as the most prominent strategies. The findings show a low level of agreement among respondents from Kazakhstan, while there is a high level of agreement between the experts in Malaysia and Turkey.

The research contribution is twofold. First (research implication), the study identifies the strategies through a complete literature review. Second, the identified strategies are evaluated through the lenses of experts in three developing countries which are hoped to provide (practical contribution) a better understanding of the most effective strategies that require attention and enable the frontline stakeholders (particularly government authorities) to focus on them.

The study findings provide a good point of departure to explore the strategies for broader adoption of GRs in developing economic setting.

This study is designed to address how rising individualism in emerging Asia changes consumer values and subsequent consumer behavior toward foreign brands. For this, we investigate consumer animosity (CA) and consumer cosmopolitanism (COS) in China and their impacts on consumer dispositions toward Japanese brands.

The study hypothesizes that CA and COS mediate the effects of consumer individualism and age on brand attitudes and purchase intentions. Online surveys were conducted with 421 consumers in China.

The results indicate that consumers with individualistic values show favorable dispositions toward Japanese brands because of weak CA and strong COS values. In addition, the study found that younger consumers also harbor weak CA and do not avoid Japanese brands because of it. However, younger consumers were not found to be more cosmopolitan than their older counterparts.

Our findings suggest that the modernization and individualization of a society can have impacts on consumer values in emerging Asia and that changes in consumer values among young and individualistic consumers can lead to increased preferences for foreign brands, especially brands from a country with historical animosity.

The purpose of this paper is to analyze demand forecast strategies to support a more sustainable management in a pallet supply chain, and thus avoid environmental impacts, such as reducing the consumption of forest resources.

Since the producer presents several uncertainties regarding its demand logs, a methodology that embed zero-inflated intelligence is proposed combining fuzzy time series with clustering techniques, in order to deal with an excessive count of zeros.

A comparison with other models from literature is performed. As a result, the strategy that considered at the same time the excess of zeros and low demands provided the best performance, and thus it can be considered a promising approach, particularly for sustainable supply chains where resources consumption is significant and exist a huge variation in demand over time.

The findings of the study contribute to the knowledge of the managers and policymakers in achieving sustainable supply chain management. The results provide the important concepts regarding the sustainability of supply chain using fuzzy time series and clustering techniques.

This study aims to examine the relationship between green finance, economic growth, renewable energy consumption (energy efficiency), energy import and CO₂ emission in Vietnam using multivariate time series analysis.

The data were collected from 1986 to 2018 since Vietnam initiated the economic reforms, namely “Doi Moi” in 1986. The concept and methods of cointegration, Granger causality and error correction model (ECM) were employed to establish the relationship between the variables of interest.

Our results confirmed the existence of cointegration among the variables. The Granger causality test revealed unidirectional causality running from renewable energy consumption to CO₂ emission and green investment to CO₂ emission.

This study results confirm the existence of cointegration among the variables. The results of the study imply that policies on economic development impose a significant impact on pollution in Vietnam. This study has described Vietnam, its economic development, green manufacturing practices, its environmental health and level of carbon dioxide emission which was enhanced due to COVID-19.