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Adaptive slicing is a key step in 3D printing as it is closely related to the building time and the surface quality. This study aims to develop an adaptive layering algorithm that can coordinate the optimization of printing quality and efficiency to meet different printing needs.

A multiobjective optimization model is established for printing quality, printing time and layer height based on the variation of surface features, profile slope and curvature of the model. The optimal solution is found by an improved method combining Newton's method and gradient method and adapts to different printing requirements by adjusting the parameter thresholds.

Several benchmarks are applied to verify this new method. The proposed method has also been compared with the uniform layering method, it reduces the volume error by 46.4% and shortens the printing time by 28.1% and is compared with five existing adaptive layering methods to demonstrate its superior performance.

Compared with other methods with only one layered result, this method is a demand-oriented algorithm that can obtain different results according to different needs and it can reach a trade-off between the building time and the surface quality.

As an important part of the disclosure of listed companies' annual reports, MD&A will disclose some "bad news" about the company. The purpose of this paper is to study whether such "bad news" can reduce information asymmetry and alleviate the risk of stock price crash remains to be seen.

Based on the sample of A-share listed companies from 2007 to 2016, the authors examine whether the negative information in MD&A could reduce stock price crash risk.

It is found that the negative information in MD&A does not reduce future crash, which indicates that the negative information in MD&A does not alleviate the information asymmetry. Further, it is also found this is due to the low readability of negative information which leads to the negative information not successfully released into the market timely. Only highly readable negative information can alleviate information asymmetry and suppress crash risk. In addition, the authors also find in the companies with more investor surveys negative tone is negatively correlated with crash risk, which means that investor surveys could help investors interpret the negative information in MD&A and alleviate stock price crash risk.

The practical significance of this article: this paper suggests that investors should carefully identify the quality of negative information in MD&A and pay attention to other quality characteristics besides credibility. This paper suggests that the regulator should pay attention not only to whether to disclose and the amount of disclosure but also to the quality of information disclosure, such as readability, so as to restrict management's strategic behavior in information disclosure.

First, different from previous studies on the impact of information disclosure on crash risk, this paper directly explores the impact of information in MD&A on stock price crash risk from the perspective of negative information disclosure that management most want to hide. It supplements the literature on the impact of information disclosure on stock price crash risk. Second, this paper studies the interaction between information tone and readability and its impact on the risk of stock price crash. Some studies believe that the credibility of negative news is higher and investors' reaction may be stronger. However, this paper finds that the disclosure of negative information may not be absorbed by the market because of the low readability. Third, this paper finds that investor surveys can help information users to interpret negative information and alleviate the risk of stock price crash, which shows that information disclosure of different channels will complement each other and improve information efficiency. Therefore, it advocates different information disclosure channels which has important practical significance for improving market pricing efficiency and reducing investment decision-making risk.

This study aims to analyze the herding behavior in Southeast Asian stock markets. A cross-sectional absolute deviation of the returns approach is used to identify the presence of herding. Individual stocks and market returns were employed on each stock market on a daily basis during the period of January 2008 to December 2014 from five countries selected to obtain the necessary data. The samples observed consisted of stocks having higher liquidity and larger market capitalization for each stock market. The results suggest that there is significant evidence of herding behavior found in Kuala Lumpur and Philippines Stock Exchanges. In addition, there is no evidence of herding behavior in Indonesia, Singapore, and Thailand Stock Exchanges.

The purpose of this paper is to research the impact of firms’ political connections on the stock price crash risk.

Empirical methodology is used in this study.

Using a large sample of Chinese firms for the period 2008-2013, the authors find that corporate political connections can reduce the stock price crash risk. When managers are still in politics or firms are in high financial transparency of local governments, the relationship between political connections and the stock price crash risk is weakened. In addition, the authors’ research shows that the corporate political connections influence the stock price crash risk by affecting the speed of confirmation of bad news.

The findings in this study suggest that political connections will affect corporate disclosure.

These results can help senior executives and investors make better decisions to prevent the stock price crash risk.

This paper empirically analyzes the impact of different types of political connections on the stock price crash risk for the first time.

This paper aims to identify the direct impact of fund style drift on the risk of stock price collapse and the intermediary mechanism of financial risk, so as to better protect the interests of minority investors.

This paper takes all the non-financial companies on the Chinese Growth Enterprise Market from 2011 to 2020 as study object and selects securities investment funds of their top ten circulation stocks to study the relationship between fund style drift and stock price crash risk.

Fund style drift is likely to add stock price crash risk. Financial risk is positively correlated with stock price crash risk. Fund style drift affects stock price crash risk via the mediating effect of financial risk, and fund style drift and financial risk have a marked impact on the stock price crash risk of non-state enterprises, yet a non-significant impact on that of state-owned enterprises.

This paper links fund style drift with stock price crash risk in an exploratory manner and enriches the study perspectives of relationship between institutional investors’ behaviors and stock price crash risk, thus enjoying certain academic value. On the one hand, it furnishes a new approach to the academic frontier issue concerning financial risk and stock price crash risk, and proves that financial risk is positively correlated with stock price crash risk. On the other hand, it regards financial risk as a mediating variable of fund style drift for stock price crash risk and further explores different influencing mechanism of institutional investors’ behaviors.

The purpose of this paper is to empirically investigate the effects of knowledge management (KM) enablers on KM processes in research universities and testing the direct relation between KM processes and OP. This study also proposes to examine the mediating role of intellectual capital (IC) and innovation in the relationship between KM processes and performance of universities.

Using a sample of 217 academic and administrative personnel from research universities of Pakistan, the hypothesized relationships were tested through partial least squares structural equation modeling technique.

The results reveal that KM enablers have a significant impact on KM processes. The results also indicate that KM processes influence organizational performance (OP) directly and indirectly through innovation and IC.

Findings of this study reinforce the corporate experience of KM and suggest how administrators of research universities and higher educational institutions can promote innovation and IC, which in turn enhance OP.

Despite the augmented importance of KM in higher education institutions or research universities, there is a dearth of studies that investigate the interplay of KM, innovation, IC and OP. This is one of the earliest studies that not only empirically investigate the interaction of KM enablers, KM processes and performance of research universities but also shed insights into the existing literature by simultaneously investigating mediating role of IC and innovation in the underlying relationship.

The study aims to identify and analyse complex interrelationships among factors influencing omnichannel retailing adoption in Indian apparel firms.

The study applies an integrated interpretive structural modelling (ISM) and decision-making trial and evaluation laboratory (DEMATEL) approach for understanding the hierarchical and contextual relationship structure among the factors influencing omnichannel retailing adoption.

The integrated ISM–DEMATEL approach identifies that financial commitment is the most crucial factors followed by technological capability, training and development, performance metrics, supportive organisational structure, collaboration and knowledge sharing, offline–online information aggregation and integrated technological platform. Also, the study reveals that financial commitment and supportive organisational structure impact the majority of factors but are affected by only a few factors.

Unlike previous studies, this study suggests an alternate approach to theory building emerging from the various factors that could be considered while developing omnichannel retailing.

Practitioners should pay close attention to leading factors that influence the adoption of omnichannel retailing, namely, financial commitments, supportive organisational structure, technological capability, integrated technological platform and training and development rather than focusing on significant receivers, such as warehouse management and assortment management.

The integrated approach of ISM-DEMATEL offers a hierarchical model and cause–effect relationship among factors influencing omnichannel retailing adoption.

Antiglobalisation sentiments appear to be on the rise in some parts of the world. As such, there are concerns that this may in turn jeopardise some of the common business practices, such as corporate social responsibility (CSR). This study argues that that is not the case. On the contrary, CSR is firmly entrenched as an institution in the political, economic and social structures of the globalised market. By that reason, it is relatively insulated from any attempts to undo the process of globalisation. However, the proliferation of connections between individuals, organisations and institutions across the world in recent years has irrevocably changed the market dynamics, particularly in relation to the process of value creation between a firm and its stakeholders. In this new market landscape, stakeholders play an active role in exchanging resources amongst themselves towards achieving socioeconomic outcomes, with the firm facilitating or mediating the connections. Thus, we see the rise of new value chains and business propositions. In light of that, CSR too would need to evolve and adapt to the current market circumstances or otherwise risk losing legitimacy. For that purpose, a fresh market paradigm is required. To that end, this study proposes the adoption of the service-dominant logic (SDL) perspective as a general framework for firms to conceive and operationalise their CSR. It concludes with an illustrative case, which provides some indication of how the precepts of SDL could be applied in the context of CSR, in an age of enhanced interactivity between the various actors.

The purpose of this study is to unpack the antecedents and consequences of clickbait prevalence in online media at two different levels, namely, (1) Headline-level: what characteristics of clickbait headlines attract user clicks and (2) Publisher-level: what happens to publishers who create clickbait on a prolonged basis.

To test the proposed conjectures, the authors collected longitudinal data in collaboration with a leading company that operates more than 500 WeChat official accounts in China. This study proposed a text mining framework to extract and quantify clickbait rhetorical features (i.e. hyperbole, insinuation, puzzle, and visual rhetoric). Econometric analysis was employed for empirical validation.

The findings revealed that (1) hyperbole, insinuation, and visual rhetoric entice users to click the baited headlines, (2) there is an inverted U-shaped relationship between the number of clickbait headlines posted by a publisher and its visit traffic, and (3) this non-linear relationship is moderated by the publisher's age.

This research contributes to current literature on clickbait detection and clickbait consequences. Future studies can design more sophisticated methods for extracting rhetorical characteristics and implement in different languages.

The findings could aid online media publishers to design attractive headlines and develop clickbait strategies to avoid user churn, and help managers enact appropriate regulations and policies to control clickbait prevalence.

The authors propose a novel text mining framework to quantify rhetoric embedded in clickbait. This study empirically investigates antecedents and consequences of clickbait prevalence through an exploratory study of WeChat in China.