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Supply chain resilience and knowledge management (KM) processes have received increasing attention from researchers and practitioners. Nevertheless, previous studies often treat the two streams of literature independently. Drawing on the knowledge-based theory, this study aims to reconcile these two different streams of literature and examine how and when KM processes influence supply chain resilience.

This research develops a conceptual model to test a sample of data from 203 Chinese manufacturing firms using a structural equation modeling method. Specifically, the current study empirically examines how KM processes affect different forms of supply chain resilience (supply chain readiness, responsiveness and recovery) and examines the moderating effect of blockchain technology adaptation and organizational inertia on the relationship between KM processes and supply chain resilience.

The findings show that KM processes positively affect three dimensions of supply chain resilience, i.e., supply chain readiness, responsiveness and recovery. Besides, the study reveals that blockchain technology adoption positively moderates the relationships between KM processes and supply chain resilience, whereas organizational inertia negatively moderates these above relationships.

This research linked the two research areas of supply chain resilience and KM processes, further bridging the gap in the research exploration of KM in the supply chain field. Next, this study contributes to supply chain resilience research by investigating how KM systems positively impact supply chain readiness, responsiveness and recovery. In addition, this study found a moderating effect of blockchain technology adaption and organizational inertia on the relationship between KM processes and supply chain resilience. These findings provide a reference for Chinese manufacturing firms to strengthen supply chain resilience, achieve secure supply chain operations and gain a competitive advantage in the supply chain. This studys’findings advance the understanding of supply chain resilience and provide practical implications for supply chain managers.

With the upgrade of natural language interaction technology, the simulation extension of intelligent voice assistants (IVAs) and the uncertainty of products and services have received more and more attention. However, most of the existing research focuses on investigating the application of theories to explain consumer behavior related to intention to use and adopt IVAs, while ignoring the impact of its privacy issues on consumer resistance. This article especially examines the negative impact of artificial intelligence-based IVAs’ privacy concerns on consumer resistance, and studies the mediating effect of perceived creepiness in the context of privacy cynicism and privacy paradox and the moderating effect of anthropomorphized roles of IVAs and perceived corporate social responsibility (CSR) of IVAs’ companies. The demographic variables are also included.

Based on the theory of human–computer interaction (HCI), this study addresses the consumer privacy concerns of IVAs, builds a model of the influence mechanism on consumer resistance, and then verifies the mediating effect of perceived creepiness and the moderating effect of anthropomorphized roles of IVAs and perceived CSR of IVAs companies. This research explores underlying mechanism with three experiments.

It turns out that consumers’ privacy concerns are related to their resistance to IVAs through perceived creepiness. The servant (vs. partner) anthropomorphized role of IVAs is likely to induce more privacy concerns and in turn higher resistance. At the same time, when the company’s CSR is perceived high, the impact of the concerns of IVAs’ privacy issues on consumer resistance will be weakened, and the intermediary mechanism of perceiving creepiness in HCI and anthropomorphism of new technology are further explained and verified. The differences between different age and gender are also revealed in the study.

The research conclusions have strategic reference significance for enterprises to build the design framework of IVAs and formulate the response strategy of IVAs’ privacy concerns. And it offers implications for researchers and closes the research gap of IVAs from the perspective of innovation resistance.

This study aims to examine whether the newly available auditor tenure information is associated with non-GAAP earnings, as the recent requirement to disclose the initial year of auditor-client relationship in audit reports may give the impression that longer auditor tenure may be related to lower audit quality.

Using a sample of firm-quarters from 2017 to 2020, the authors conduct both univariate and regression analyses. We use hand-collected data for auditor tenure, SEC comment letters, and non-GAAP variables.

First, the authors find that the likelihood of disclosing non-GAAP earnings monotonically increases with auditor tenure on a univariate basis. Second, auditor tenure is negatively associated with aggressive non-GAAP reporting. Third, the authors document evidence of aggressive reporting in general; that is, items excluded in calculating non-GAAP earnings are associated with future performance. However, the association declines with longer auditor tenure. Finally, the authors report evidence that the likelihood of receiving an SEC comment letter that contains non-GAAP comments decreases with longer auditor tenure.

The results show that regulators need to consider both GAAP and non-GAAP disclosures’ costs and benefits when enacting auditor tenure regulation. Investors can benefit from the findings in evaluating the quality of non-GAAP earnings. The findings are also relevant to the SEC when allocating limited resources in monitoring non-GAAP reporting.

To the best of the authors’ knowledge, this is the first study showing that auditor tenure is associated with the quality of non-GAAP earnings. Given that financial reporting quality should be understood as a comprehensive system comprising both mandatory and voluntary disclosures, this study complements the literature that examines the effect of auditor tenure on financial reporting quality using GAAP reporting.

The purpose of this study is to investigate the factors affecting the silence of internal auditors. To this end, the impacts of the perceived climate of silence, professional commitment, independence commitment, role conflict and role ambiguity on internal auditor silence have been investigated. Furthermore, the effects of role conflict and role ambiguity through independence commitment on internal auditor silence were investigated.

The statistical population of the study consisted of Iranian internal auditors in 2021. The study used a self-administered survey of 217 internal auditors. In this research, a hierarchical component model in the partial least squares structural equation modeling analysis was used to examine the hypotheses.

The results of testing the hypotheses indicated that the perceived climate of silence and role ambiguity have positive effects, and professional commitment and independence commitment have negative effects on internal auditor silence. Furthermore, role conflict has an insignificant effect on internal auditor silence. In addition, role conflict and role ambiguity affect the internal auditor silence through the independence commitment.

This study examined the factors affecting the internal auditor silence by combining the construct of the perceived climate of silence that has been previously discussed in the field of management with the professional (professional commitment and independence commitment) and role (role conflict and role ambiguity) factors that are discussed in the internal audit profession. To the best of the author’s knowledge, this is the first study that examines the factors affecting internal auditor silence behavior. The importance of conducting this study is that it investigates a phenomenon among internal auditors that conflicts with the mission and origin of internal audit.

Employees play an essential role in interactive innovation activities in Open Innovation Communities (OICs). Nevertheless, the factors influencing employees' innovation behavior in OICs have not been studied in depth. This study selects personality traits and social network characteristics to explain why and how these two factors affect employees' innovation behavior in OICs.

Three regression models were constructed to test the relationship between personality traits, social network characteristics, and interactive innovation behaviors. The authors examined how employees' personality traits (Big Five personality traits) influence employees' innovative behavior (initiating and supporting innovation) directly in OICs and explored whether social network characteristics (social group) mediate the relationship between employees' personality traits and employees' innovation behavior.

Using empirical data on 162 employees from Salesforce's IdeaExchange, the authors found that extraversion and openness to experience have significant positive effects on employees' interactive innovation behaviors, while conscientiousness has a significant negative effect on employees' interactive innovation behaviors in OICs. Furthermore, the mediation effect test results indicated that social network characteristics have a mediating effect on the relationship between extraversion and innovative behavior, and between openness and innovative behavior.

This study analyzes how personality traits influence innovation behavior in an open innovation environment, thus enriching research related to the factors influencing interactive innovation behavior. Meanwhile, the study integrates personality, social network, and innovative behavior research streams and clearly explains the relationship between the three variables. The research findings assist firms in selecting suitable employees to participate in interactive innovation behaviors in OICs.

This paper aims to investigate the impact of gender diversity in the composition of engagement auditors on the disclosure of key audit matters (KAMs) in a dual-signature environment.

The authors used the unique institutional setup of Taiwan, where the law requires that audit reports be signed by two audit partners. The authors examined the effect of gender diversity composition among engagement auditors on KAM disclosure, considering behavioral differences between female and male auditors.

The empirical results indicate that gender diversity composition in the dual-signature environment is associated with the number of disclosed KAM items (KAMIT) and the length of the explanations for each KAMIT. Furthermore, the authors found that gender diversity composition, particularly when led by female audit partners, has a more pronounced impact on the explanation of each KAMIT rather than on the disclosure of KAMIT. The authors also noted that the moderating effect of audit firm specialization does not influence the gender diversity composition of audit partners in disclosing KAMs.

This study’s empirical findings demonstrate that the interaction between different gender compositions in a dual-signature environment influences KAM disclosure.

This study aims to investigate whether accounting-related litigation is associated with a break in the client’s earnings string and the auditor’s response to a break in the earnings string.

The authors use regression models on a sample of publicly-traded USA companies with earnings strings.

The authors find that clients’ earnings string breaks are associated with increased accounting litigation risk and audit fees. The results are more prevalent for larger breaks.

The findings suggest auditors anticipate string breaks by clients which implies that audit fee research should consider earnings string characteristics in the fee models.

The auditor’s access to private information allows them to anticipate string breaks and potential increase in litigation risk.

An earnings string break represents a convergence of concerns highly relevant to the auditor: more users relying on the financial statements with greater expectations, increased likelihood of losses to those users, an environment where the likelihood of misstatement may increase, and explicitly stated professional responsibilities in response to the latter. Despite that, and a rich earnings string literature, prior studies have not directly examined auditors’ response to a client’s string break.

This paper aims to study the corrosion inhibition behavior of imidazopyridine and its three derivatives on brass.

The authors performed weight loss experiments, electrochemical experiments including the polarization curve and electrochemical impedance spectrum, corrosion morphology observation using scanning electron microscope (SEM) and atomic force microscope (AFM) and surface composition analysis via X-ray photoelectron spectroscopy (XPS) to analyze the corrosion inhibition behavior of imidazopyridine and its three derivatives on brass by using quantum chemical calculation (Gaussian 09), molecular dynamics simulation (M-S) and Langmuir adsorption isotherm.

According to the results, imidazole-pyridine and its derivatives were found to be modest or moderately mixed corrosion inhibitors; moreover, they were spontaneously adsorbed on the metal surface in a single-layer, mixed adsorption mode.

The corrosion inhibition properties of pyrazolo-[1,2-a]pyridine and its derivatives on brass in sulfuric acid solution were analyzed through weight loss and electrochemical experiments. Moreover, SEM and AFM were simultaneously used to observe the corrosion appearance. Furthermore, XPS was used to analyze the surface. Then, Gaussian 09 and M-S were combined along with the Langmuir adsorption isotherm to investigate the corrosion inhibition mechanism of imidazole-[1,2-a]pyridine and its derivatives.

Metaheuristic algorithms based on biology, evolutionary theory and physical principles, have been widely developed for complex global optimization. This paper aims to present a new hybrid optimization algorithm that combines the characteristics of biogeography-based optimization (BBO), invasive weed optimization (IWO) and genetic algorithms (GAs).

The significant difference between the new algorithm and original optimizers is a periodic selection scheme for offspring. The selection criterion is a function of cyclic discharge and the fitness of populations. It differs from traditional optimization methods where the elite always gains advantages. With this method, fitter populations may still be rejected, while poorer ones might be likely retained. The selection scheme is applied to help escape from local optima and maintain solution diversity.

The efficiency of the proposed method is tested on 13 high-dimensional, nonlinear benchmark functions and a homogenous slope stability problem. The results of the benchmark function show that the new method performs well in terms of accuracy and solution diversity. The algorithm converges with a magnitude of 10-4, compared to 102 in BBO and 10-2 in IWO. In the slope stability problem, the safety factor acquired by the analogy of slope erosion (ASE) is closer to the recommended value.

This paper introduces a periodic selection strategy and constructs a hybrid optimizer, which enhances the global exploration capacity of metaheuristic algorithms.

This study aims to examine the changes in the correlations between stressors and performance in French chartered and accounting firms.

The linkages between role stressors and performance were analyzed through a quasi-longitudinal study of 476 chartered public accountants and trainee-chartered accountants surveyed before and after the busy season, using the partial least squares approach.

Only challenge appraisals are positively related to motivation before and after the 2018 busy season. Stress arousal is positively associated with burnout and physical symptoms. However, the associations between role ambiguity and conflict, and hindrance appraisals became insignificant after the busy season. The challenge appraisals–role ambiguity linkage persisted but reduced significantly. The burnout–performance association was insignificant in the two time periods.

A busy season with its increased challenge stressors has positive effects on performance through motivation but also negative effects through strains, which explains the observed insignificant net impact.

This quasi-longitudinal study first suggests the role of appraisals, motivation and physical symptoms as mediators of the effects of role stressors on performance. Then, it aids in the broad generalization of certain findings from previous studies. Finally, it demonstrates the applicability of the partial least squares approach, which has been hitherto under-used in behavioral accounting.