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This research aims to comprehensively investigate when and how cognitive conflict benefits team innovation in cross-functional project teams (CFPTs), by exploring the moderating role of knowledge leadership and dual mediation mechanisms of elaboration of task-related information/knowledge and affective conflict.

All hypotheses have been empirically tested by using structural equation model to analyze the quantitative data from a questionnaire survey covering 73 CFPTs in China.

Results indicate that knowledge leadership positively moderates the relationship between cognitive conflict and CFPT innovation. This moderating effect is directly or indirectly revealed by the dual mediating roles of task-related information/knowledge elaboration and affective conflict, which are two processes manifesting whether cognitive conflict can or cannot be incorporated into team innovation.

Despite the external validity of results limited by convenient sampling method, the findings offer implications for promoting CFPT innovation. This can be achieved by developing competent knowledge leadership into team sensegiver, dissent reconciler and facilitator to accentuate benefits of cognitive conflict in information/knowledge elaboration and attenuate the likelihood of escalating to affective conflict.

This study advances the understanding of why cognitive conflict has an equivocal effect on team innovation in the context of CFPT by originally revealing how leaders’ role in information/knowledge management acts as a contingency and suggesting the dual mediating mechanisms that reflect the contingent impact. Project-based teams or organizations, characterized by cognitive clashes, can enhance innovation performance by shaping the meaningfulness of information/knowledge activities triggered by cognitive conflict.

The purpose of this paper is to provide a theoretical platform for studying the characteristic of random carrier frequency (RCF) modulation and analyze the related parameters in terms of electromagnetic interference (EMI) suppressing.

In this paper, the expression of the amplitude of switching voltage power spectra under the RCF mode is presented. According to the expression, the effectiveness of related parameters on EMI mitigation is discussed. Theoretical predictions are confirmed with a closed‐loop boost converter which power is 7.5 W and nominal switching frequency is 200 KHz. Finally, special attention has been paid to output voltage ripple.

Under RCF scheme, with increasing of random degree, the spectrum of switching voltage is dispersed, so the power spectrum density amplitude of switching voltage falls, and then the level of EMI is lowered. This theory shows that the voltage power spectrum density attains maximum when d=0.5, so in the spread spectrum modulation, the duty cycle of 0.5 should be avoided in terms of conducted EMI mitigation.

The analytical expression of switching voltage power spectra under the RCF mode is presented, providing a theoretical platform for the related research. The selection of duty cycle has effect on EMI level is put forward for the first time. Voltage ripple is discussed in close‐loop circuit.

The purpose of this paper is to suggest the solution of time-fractional Fornberg–Whitham and time-fractional Fokker–Planck equations by using a novel approach.

First, some basic properties of fractional derivatives are defined to construct a novel approach. Second, modified Laplace homotopy perturbation method (HPM) is constructed which yields to a direct approach. Third, two numerical examples are presented to show the accuracy of this derived method and graphically results showed that this method is very effective. Finally, convergence of HPM is proved strictly with detail.

It is not necessary to consider any type of assumptions and hypothesis for the development of this approach. Thus, the suggested method becomes very simple and a better approach for the solution of time-fractional differential equations.

Although many analytical methods for the solution of fractional partial differential equations are presented in the literature. This novel approach demonstrates that the proposed approach can be applied directly without any kind of assumptions.

This paper aims to examine the information content of changes in fair values of investment property reported under international accounting standards (IAS) 40 and International Financial Reporting Standards (IFRS) 13 to debtholders. This study further examines the effect of fair value hierarchy inputs, valuer types and the quality of fair value measurement-related disclosure on the information usefulness of changes in fair value.

This paper performs a panel regression on the cost of debt capital and changes in fair value of investment properties, and fair value measurement features using data covering periods 2007–2015 from Australian real estate companies.

The findings suggest that changes in fair value of investment property are informative about the real estate firm’s future cash flow to debtholders. Also, the findings show that the use of unobservable inputs in an active market (Level 3 inputs) and Level 2 has no different impacts on the cost of debts. Also, this paper documents that employing the directors solely in valuation may lead to a higher cost of debts. Furthermore, this paper reports that an extensive fair value disclosure appears no additional value in the debt decision.

Collectively, the findings indicate that although the use of unobservable inputs is common in the real estate sector, information on the changes of the fair value of investment properties are informative to debtholders. The findings have important implications for accounting standard setters to consider revisiting the IAS 40 and IFRS 13 on whether the independent valuation should be required and whether the extensive disclosure requirement is worthwhile.

Members in a supply chain account for corporate social responsibility (CSR) in different ways. This paper considers a socially responsible supply chain in which the manufacturer innovates in a sustainable product while the retailer exhibits CSR concerns. This paper aims to investigate how socially responsible behavior, namely, sustainable innovations or CSR concerns, affects the pure profit, environmental impact and social welfare, in such a socially responsible supply chain.

This paper first constructs an integrated case as a benchmark and then develops a Manufacturer-Stackelberg game in a decentralized scenario. The pure profit, environmental impact and social welfare are confirmed and analyzed in centralized and decentralized cases. Moreover, two unique coordinating contracts, i.e. wholesale price discount contract and revenue-sharing contract, are used in this socially responsible supply chain.

Analytical analysis shows that, under certain conditions, the optimal CSR strategies hold for maximizing pure channel profit, minimizing environmental impact and maximizing social welfare. Whether the performance in a centralized case outnumbers that in a decentralized case depends on the CSR concerns level and environment-friendly degree of the product. In addition, it is found that a wholesale price discount contract is better for the retailer whereas a revenue-sharing contract is better for the manufacturer in pure profit to improve coordinating efficiency.

These results can offer managerial implications to the socially responsible supply chain in terms of pricing decisions, CSR strategies and sustainability innovations. Specifically, under certain conditions, placing more CSR concerns level increases pure channel profit and the social welfare. A balance between the pure profit and the social welfare is hereby achieved for the two socially responsible individuals by designing a proper contract.

To the best of the authors’ knowledge, this paper is among the first studies so far to combine the CSR concerns strategy and sustainability innovation into a socially responsible supply chain.

Advances in disaster prevention and mitigation in Southeast Asia (SEA) have increasingly included plans for mental health and psychosocial support. However, substantial challenges remain, particularly in the areas of (a) disaster communication and preparedness, (b) institutionalized disaster education, (c) culturally adapted and evidence-based tools and interventions, (d) developing capacities and caring for disaster responders, and (e) enabling collective resilience. In addition, the impacts of poverty, lack of access to education, and other forms of marginalization result in less resources to prepare for hazardous event and increased vulnerability to environmental hazards for SEA countries. These issues highlight the need for SEA governments to address deeply rooted human development issues that put communities at risk and heighten vulnerabilities of SEA populations.

The purpose of this paper is to attempt to realize a distribution network optimization in supply chain using grey systems theory for uncertain information.

There is much uncertain information in the distribution network optimization of supply chain, including fuzzy information, stochastic information and grey information, etc. Fuzzy information and stochastic information have been studied in supply chain, however grey information of the supply chain has not been covered. In the distribution problem of supply chain, grey demands are taken into account. Then, a mathematics model with grey demands has been constructed, and it can be transformed into a grey chance‐constrained programming model, grey simulation and a proposed hybrid particle swarm optimization are combined to resolve it. An example is also computed in the last part of the paper.

The results are convincing: not only that grey system theory can be used to deal with grey uncertain information about distribution of supply chain, but grey chance‐constrained programming, grey simulation and particle swarm optimization can be combined to resolve the grey model.

The method exposed in the paper can be used to deal with distribution problems with grey information in the supply chain, and network optimization results with a grey uncertain factor could be helpful for supply chain efficiency and practicability.

The paper succeeds in realising both a constructed model of the distribution of supply chain with grey demands and a solution algorithm of the grey mathematics model by using one of the newest developed theories: grey systems theory.

This paper aims to provide researchers and practitioners with an understanding of abusive supervision in the context of hospitality. It seeks to conduct a comprehensive review of the area and offer recommendations for future research by exploring the antecedents, consequences, mechanisms and designs of research on abusive supervision.

Content analysis was conducted to review and analyze studies on abusive supervision in the context of hospitality. Previous studies were searched in the EBSCO, Scopus, Web of Science and Google Scholar electronic databases.

In total, 36 referred articles related to abusive supervision in hospitality were reviewed across four key areas, namely, antecedents, consequences, mechanisms and research design. After reviewing the research on abusive supervision in the context of hospitality, this paper offers future research directions with respect to research focus and research design.

This paper only included English articles from peer-reviewed journals on abusive supervision. The number of reviewed articles was relatively small. This limitation may have arisen because abusive supervision is a new research field and is still a sensitive topic.

The results of this study may encourage managers to minimize or even halt abusive supervision. From an organizational perspective, formal policies may be developed to regularize supervisors’ behavior. In turn, employees could use this paper to learn further about abusive behavior and how to handle it effectively.

The review highlighted the negative consequences of abusive supervision. Managers should urgently realize the seriousness of abusive supervision and develop effective policies to minimize its negative effect.

This paper contributes to the emerging literature on abusive supervision in the context of hospitality by identifying key research trends and framing the outlines of empirical studies. It identifies research gaps, and as the first review of abusive supervision in hospitality, it may encourage researchers to explore the topic on the basis of the characteristics of the sector and offer suggestions for future research.