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This paper addresses the role of principles-based accounting standards as a potential mechanism for reducing firms' time delay of annual reporting disclosure while improving the timeliness of accounting information. The paper also contributes to the existing literature by addressing the mediating effects of the financial reporting complexity and the audit workload on the link between principles-based accounting standards and the time delay of annual reporting disclosure.

The focus is placed on an unbalanced panel of 20,943 samples over the period of 2007–2017.

The results show that the more principles-based the accounting standards are, the lower the time delay of annual reporting disclosure is, and the timelier the disclosure of accounting information is. The relationship between the two is more significant especially in the first two months after the end of the fiscal year. The findings are all robust after controlling for a series of sensitivity checks and endogenous concerns. From the mediating effect results, the authors find that principles-based accounting standards decrease the financial reporting complexity and the audit workload which in turn can help lower time delay of annual reporting disclosure. In addition, the negative effect of principles-based accounting standards on the time delay of annual reporting disclosure is more significant in the case that the company has “good news” including with no losses and receiving the standard auditing opinions. The results confirm the law of “good news announces early, bad news announces late.” Furthermore, the moderating effect results show that the higher the economic policy uncertainty index and the legal environment index, the lower the benefit of principles-based accounting standards to the timeliness of annual reports. The results of the economic consequences of timeliness suggest that the timely disclosure of accounting reporting will bring greater market reaction and contain more information, and the information of companies that disclose annual reports timely are more transparent.

This paper studies the impact of accounting standards on the timeliness of annual report disclosure, which enriches the literature in the field of macro policies and micro-enterprise behaviors.

Using China’s key audit matters (KAMs) data, this study aims to examine whether negative press coverage alleviates boilerplate KAMs.

This study uses Levenshtein edit distance (LVD) to calculate the horizontal boilerplate of KAMs and investigates how boilerplate changes under different levels of the perceived legal risk.

The findings indicate that auditors of firms exposed to substantial negative press coverage will reduce the boilerplate of KAMs. This association is more significant for auditing firms with lower market share and client firms with higher financial distress. Additionally, the authors find that negative press coverage is more likely to alleviate the boilerplate disclosure of KAMs related to managers’ subjective estimation and material transactions and events. Furthermore, the association between negative press coverage and boilerplate KAMs varies with the source of negative news.

The findings suggest that upon exposure to negative press coverage, reducing the boilerplate of KAMs has a disclaimer effect for auditors.

This study tests the effect of accounting standards precision on financial restatements and the influence of accounting standards precision on different types of restatements (including errors and irregularities). What is more, the heterogeneity between accounting standards precision and financial restatements is verified in this paper. In the further analyses, the authors also examine the mediating roles and moderating roles on the correlation between accounting standards precision and financial restatements.

The focus is placed on an unbalanced panel of 18,766 samples over the period of 2007–2017.

The authors find that firms' restatements decrease when standards are more principles-based (low accounting standards precision). Especially, irregularities significantly decrease when firms' standards are more principles-based. What's more, the negative relationship between principles-based standards and restatements is more significant in “big four” accounting firms. Moreover, from the mediating effect results, the authors find that low accounting standards precision decreases a firm's financial reporting complexity and increases equity restriction, which in turn can help decreasing its financial misreporting. From the moderating effect results, the authors find that the higher the TOP1 and the more analysts following the firm, the higher the benefit of accounting standards precision to misstatements.

The results of this study provide a theoretical reference for accounting standard setters and are helpful to inform investors and regulators about the influence of Chinese accounting standards on restatements.

The set-union knapsack problem is one of the most significant generalizations of the Non-deterministic Polynomial (NP)-hard 0-1 knapsack problem in combinatorial optimization, which has rich application scenarios. Although some researchers performed effective algorithms on normal-sized instances, the authors found these methods deteriorated rapidly as the scale became larger. Therefore, the authors design an efficient yet effective algorithm to solve this large-scale optimization problem, making it applicable to real-world cases under the era of big data.

The authors develop three targeted strategies and adjust them into the adaptive tabu search framework. Specifically, the dynamic item scoring tries to select proper items into the knapsack dynamically to enhance the intensification, while the age-guided perturbation places more emphasis on the diversification of the algorithm. The lightweight neighborhood updating simplifies the neighborhood operators to reduce the algorithm complexity distinctly as well as maintains potential solutions. The authors conduct comparative experiments against currently best solvers to show the performance of the proposed algorithm.

Statistical experiments show that the proposed algorithm can find 18 out of 24 better solutions than other algorithms. For the remaining six instances on which the competitor also achieves the same solutions, ours performs more stably due to its narrow gap between best and mean value. Besides, the convergence time is also verified efficiency against other algorithms.

The authors present the first implementation of heuristic algorithm for solving large-scale set-union knapsack problem and achieve the best results. Also, the authors provide the benchmarks on the website for the first time.

Proenvironmental hotels and hotels with green initiatives are emerging as a method to address environmental issues and respond to tourists’ environmental concerns. To better understand what can encourage reservations in proenvironmental hotels, this study aims to investigate the connection between the performing arts watching experience and the preference for such a hotel.

Five scenario-based experiments were conducted. A total of 1,024 participants for the five studies were recruited with the help of Credamo, a commonly used Chinese data collection platform.

The results indicated that viewing performing arts could increase tourists’ preferences for proenvironmental hotels. This phenomenon occurred due to the fact that performing arts watching experience can induce a psychological state of self-transcendence in individuals, which, in turn, can raise their levels of altruism, and ultimately lead to proenvironmental hotel choices. This effect will not occur, however, when people watch performing arts with either an extrinsic motivation or in an analytical state.

The findings of this study provide hotel managers with a novel approach to market the proenvironmental attributes of their hotels and to promote tourists’ proenvironmental behaviors.

This study proposes performing arts viewing experiences as a novel way to encourage proenvironmental hotel choice. To the best of the authors’ knowledge, this is the first study to explore the impact of the performing arts watching experience on tourist behavior.

Drawing on the literature on technological acquisition and the knowledge-based view , this study examines how technological overlap between acquiring and target firms influences acquisition premiums. We further explore how the resulting synergies are contingent on the dynamic characteristics of the target firm, specifically its technology clockspeed and industry munificence. Technology clockspeed indicates the pace of technological evolution, reflecting internal dynamic resources, while industry munificence represents the abundance of external resources. These boundary conditions illustrate the dynamics of synergies, explaining their moderation effects on acquisition premiums.

We analyze a sample of 369 technological acquisitions by publicly traded U.S. firms between 1990 and 2011. To test our hypotheses, we used the ordinary least squares regression model with robust standard errors clustered by acquiring firms. In the robustness checks, we applied the generalized estimating equations to account for non-independent observations in our sample and verified that the results were robust to an alternative two-way clustering approach.

We suggest that a low level of technological overlap between an acquiring firm and its target firm leads the acquiring firm to offer a high acquisition premium because of the expected synergistic potential that evolves from combining two distant technological bases. We further find that this effect is contingent on the target firm's technology clockspeed and industry munificence. Specifically, the negative effect is amplified when target firms exhibit a rapid pace of technological evolution, whereas it is weakened when target firms operate in highly munificent industries characterized by robust growth and abundant resource flows.

This study has several limitations, but it offers opportunities for future research. First, our sample is limited to domestic acquisitions between U.S. publicly traded firms, which may restrict generalizability. Cross-border acquisitions could reveal different dynamics, as technology leakage and national security concerns might make technological overlap a more sensitive factor. Additionally, private firms were not included, and their distinct strategic considerations could provide further insights. Future research could explore post-acquisition data to validate these synergies and expand the scope to include international contexts and private firms for a comprehensive analysis.

Our findings highlight important implications for managers in technology sector acquisitions. This study underscores the need for a thorough evaluation of target firms to avoid misjudging synergies. Low technological overlap can heighten expectations for value creation, making it crucial for executives to accurately assess potential synergies to prevent overestimation. Managers should consider both internal resources and external industry conditions when evaluating synergies. Ultimately, these insights help managers offer informed prices that reflect true strategic synergies, adopting effective valuation practices to mitigate risks of financial overpayments and poor post-merger performance.

The social implications of our findings emphasize the broader impact of acquisition decisions on innovation and competition within the technology sector. By ensuring accurate valuation and avoiding overpayment, companies can allocate resources more efficiently, fostering sustainable growth and innovation. This diligent approach can reduce the risk of corporate failures.

This study makes two key theoretical contributions. First, it identifies technological overlap as a critical determinant of acquisition premiums in technological acquisitions, addressing gaps in the literature that focused on CEO characteristics and managerial attention. Second, it expands the theoretical framework by highlighting the dynamic nature of synergies, influenced by the target firm's technology clockspeed and industry munificence. By integrating both acquiring and target firm characteristics, this study provides a relational perspective on value creation, explaining why firms pay high premiums and offering a more comprehensive understanding of the strategic motivations in technological acquisitions.

This paper examines the role of the anchoring effect, including internal anchor formed by prior experience or external anchor produced by similar external practices of industrial competitors and investor networks in the decision-making of corporate social behaviors (CSBs).

This paper sets corporate donations and pollution as examples of CSBs, and conducts an empirical study through the data of A-share listed companies between 2010 and 2020 in China.

This paper found that both internal and external anchoring effects exist in CSBs. In addition, when internal and external anchors appear simultaneously, they will have the same intensity and promote each other.

This paper not only adds to the literature on the motives for CSBs and links cognitive and social psychology with strategic decisions but also has managerial implications for firms and managers.

This paper examines the impact and mechanism of China's digital inclusive finance on rural consumption upgrade. First, the impact of the development of digital inclusive finance on the upgrading of rural household consumption structure is to be theoretically analyzed and empirically tested. Secondly, in terms of heterogeneity analysis, it pays attention to the age heterogeneity of users that digital inclusive finance influencing rural residents' developmental consumption upgrade, which is related to the issue of intergenerational “digital gap”. Thirdly, the mechanism of digital inclusive finance in promoting rural consumption upgrade is to be investigated. Finally, how to promote the role of digital inclusive finance in upgrading the structure of rural consumption to a developmental demand level will be showed.

From the perspective of the micro-household, this study is conducted by using the instrumental variable (IV) method, with 2SLS model and IV-Tobit model, based on the matched city-level data of Digital Inclusive Financial Index (DIFI) with the Chinese Household Financial Survey (CHFS). “The relief degree of land surface” is an ideal instrumental variable of digital inclusive finance, for including regional altitude difference and terrain factors of regional area, has theoretical influence on the development of digital inclusive finance, and is not affected by other economic variables.

The conclusions show that the digital inclusive finance plays a significant role in promoting the rural households' developmental consumption, but has no significant effect on the rural households' survival-type consumption and hedonistic consumption. Furthermore, this paper examines the impact and mechanism of China's digital inclusive finance on rural consumption upgrade. First, the impact of the development of digital inclusive finance on the upgrading of rural household consumption structure is to be theoretically analyzed and empirically tested. Secondly, it is discovered that digital inclusive finance is age heterogeneous in promoting the upgrade of consumption structure of rural household, and its effect on the elderly is weaker than that on the young for the intergenerational “digital gap”. Thirdly, these conclusions reveal that the digital inclusive finance does affect the consumption of rural residents through three mechanisms: increasing income and wealth, easing liquidity constraints and facilitating payment methods. Finally, how to promote the role of digital inclusive finance in upgrading the structure of rural consumption to a developmental demand level will be showed.

The current research on the relationship between digital inclusive finance and rural consumption only stays at the level of total rural consumption and has not stressed the structural problems of rural consumption. Can digital inclusive finance promote the upgrade of rural consumption structure? To what level can digital inclusive finance promote the upgrading of rural consumption structure? Therefore, it is of great theoretical value to study the upgrading of rural consumption structure from the micro level. Can the current digital inclusive finance benefit the elderly and help break the vulnerability of the elderly to enjoy finance? In this regard, evidence of heterogeneity remains to be provided.

This research aims to investigate the influence of consumers' anticipated trust in service providers on brand switching intention and its underlying psychological mechanism. More importantly, this study explores the moderating role of type of service providers (human staff/humanoid robots/nonhumanoid robots).

This study adopted two single-factor between-subjects experimental designs and tested the hypotheses in two typical service failure scenarios: Study 1, a hotel scenario (N = 403); and Study 2, a restaurant scenario (N = 323).

The results suggest that there is an inverted U-shaped relationship between consumers' anticipated trust and tolerance of service failure and that such tolerance has a mediating effect on the relationship between anticipated trust and brand switching intention. Moreover, when service failure is caused by a humanoid service robot, a moderate anticipated trust level of consumers is most conducive to increasing tolerance, which in turn reduces their propensity to switch brands.

This study examines the nature of the relationship between anticipated trust and tolerance in a service failure context, revealing an inverted U-shaped relationship. More importantly, the boundary conditions under which different service provides have an influence on this relationship are incorporated. Finally, this study explores the influence of service failure tolerance on brand switching intentions in a technological context, enriching consumer–brand relationship research.

With the increasing use of robots in service scenarios in hospitality industries, service failure frequently occurs during the service process, and consumers may react differently toward humanoid vs. nonhumanoid robots due to different performance expectancies. This study focuses on consumers' reactions to service failures by humanoid vs. nonhumanoid robots and the different impacts on brand forgiveness and revisit intentions through performance expectancy for different genders.

The study used a sample of 280 participants to test the moderated chain mediation model. The participants were instructed to report their performance expectancies for humanoid/nonhumanoid robots and imagine a hotel check-in scenario in which a service failure occurs. Brand forgiveness, brand revisit intention and other demographic information were assessed.

The results show that consumers have higher performance expectancy for nonhumanoid robots. This performance expectancy generates brand forgiveness and revisit intentions for male consumers but does not affect female consumers' forgiveness and revisit behaviors.

This study contributes to the literature by taking a long-term perspective to investigate the outcomes after service failure, providing evidence for pending questions in previous studies and enriching studies of gender differences. Additionally, this study provides practical implications to consider the use of anthropomorphism in robots, advocate for functional confidence in robots and target consumers across genders.