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This paper aims to investigate the moderating roles of negative attainment discrepancy and state ownership in the relationship between internationalization speed and firm innovation.

Panel fixed-effects regressions model was applied to test the influence of internationalization speed on firm innovation using data collected from Chinese listed companies between 2003 and 2017.

The internationalization speed can positively promote firm innovation. Moreover, negative attainment discrepancy enhances the effect of internationalization speed on firm innovation. The effect of negative attainment discrepancy on internationalization speed and firm innovation performance is more positive in state-owned firms than in non-state-owned firms.

A suitable time of internationalization speed to affect firm innovation is obtained.

This paper suggests that decision-makers should set an appropriate aspiration to internationalize firms and increase firm innovation. Moreover, state-owned enterprises should pay attention to negative attainment discrepancies.

The study revealed the boundary conditions of negative attainment discrepancy and state ownership on the relationship between internationalization speed and firm innovation, contributing to the theoretical advancements in internationalization speed.

In this paper, the moderating roles of leader reward omission and person–supervisor fit in the relationship between job autonomy and knowledge hiding are investigated.

Using a sample of 248 employees in a two-wave survey, we performed a hierarchical regression analysis to test the hypotheses.

The results revealed that employees with high job autonomy were less likely to engage in knowledge hiding. Moreover, when employees experienced leader reward omission, the negative relationship between job autonomy and knowledge hiding was weakened, and this interesting effect varied by person–supervisor fit.

This study does not explore the mediating mechanism by which job autonomy affects employee knowledge hiding. Moreover, as this research was conducted in a Chinese context, the generalizability of our findings is unclear.

This research has fulfilled its practical aims by providing advice on knowledge-relevant job characteristic factors that can be used to stage interventions regarding the provision of autonomy in jobs, and by carefully considering how to create interdependence between jobs without pushing people to engage in knowledge-hiding behaviors. Furthermore, it is important for leaders to help employees identify work goals and directions and not engage in reward omission.

This study contributes to theoretical advancements in the field of knowledge hiding by revealing boundary conditions that mitigate or enhance the impact of job autonomy on knowledge hiding.

Based on social dilemma theory, the authors analyze the impact of leader reward omission on employee knowledge sharing and the boundary conditions in their relationship.

This study tested the theoretical hypotheses based on empirical data obtained from 264 employees using a two-wave survey method.

The results indicate that leader reward omission significantly negatively affects employee knowledge sharing. An employee's proactive personality weakens the negative relationship between them; the weakening effects of an employee's proactive personality would decrease along with the perceived increase in organizational unfairness.

This study provides the first insight that leader reward omission can inhibit employee knowledge-sharing behavior. In addition, this study shows that an individual proactive personality and perceived organizational unfairness moderate the relationship between leader reward omission and employee knowledge behavior. Thus, this study provides a more comprehensive understanding of whether and when leader reward omission affects employee knowledge sharing.

Noncontrolling large shareholders can reduce the agency problem of executives and can reduce the expropriation or tunneling behavior of controlling shareholders, thereby promoting corporate innovation. However, too many noncontrolling large shareholders may also lead to excessive supervision, thereby inhibiting innovative activities that contribute to the long-term value of the firm. Research to date, however, has not examined the nonlinear impact of noncontrolling large shareholders on corporate innovation. Based on principal–agent theory and the too-much-of-a-good-thing (TMGT) effect, the authors discuss the inverted U-shaped influence of noncontrolling large shareholders on corporate innovation and the moderating effect of industry competition and corporate product diversification on the above relationship.

Based on the empirical data of Chinese listed companies from 2003 to 2017, the authors use the bidirectional fixed effects model to conduct empirical testing and robustness testing of the research hypotheses.

There is an inverted U-shaped relationship between noncontrolling large shareholders and corporate innovation; type I and type II agency costs play a mediating role between noncontrolling large shareholders and corporate innovation. In addition, firm product diversification weakens the inverted U-shaped relationship between noncontrolling large shareholders and corporate innovation, but industry competition has no significant moderating effect on the above relationship.

This research has important implications for policy makers, to better activate corporate innovation vitality, and investors, to better choose investment targets. Specifically, investors and policy makers should be aware that an appropriate increase in larger noncontrolling shareholders can maximize the enthusiasm of firms for innovation and enhance corporate value, but they should also realize that having too many noncontrolling large shareholders may backfire.

This research helps the authors to understand the pros and cons of increasing the number of noncontrolling large shareholders more comprehensively and also helps to understand corporate innovation more comprehensively from a supervisory perspective. In addition, this research also enhances the explanatory and predictive power of the TMGT effect.

The authors analyze the effects of controlling shareholders' stock pledging on firms' strategic change behavior, and investigate how the balance of power between shareholders and analyst coverage moderates those effects.

Employing fixed effects models, the authors test hypotheses based on Chinese listed company data from 2011 to 2017.

Controlling shareholders' stock pledges has a negative effect on strategic change. As the balance of power among shareholders and/or analyst coverage increases, it mitigates the effect of controlling shareholder stock pledges on strategic change. In particular, the balance of power between shareholders and analyst coverage weakened the relationship between controlling shareholder stock pledges and strategic change. Lastly, after distinguishing family from nonfamily firms, the authors discovered that these findings only held for family firms.

This study makes important contributions to strategic change, stock pledge and family firm literature, and also provides guidance on firms' strategic change practices.

This research attempts to present a solid transportation problem (STP) mechanism in uncertain and indeterminate contexts, allowing decision makers to select their acceptance, indeterminacy and untruth levels.

Due to the lack of reliable information, changeable economic circumstances, uncontrolled factors and especially variable conditions of available resources to adapt to the real situations, the authors are faced with a kind of uncertainty and indeterminacy in constraints and the nature of the parameters of STP. Therefore, an approach based on neutrosophic logic is offered to make it more applicable to real-world circumstances. In this study, the triangular neutrosophic numbers (TNNs) have been utilized to represent demand, transportation capacity, accessibility and cost. Then, the neutrosophic STP was converted into an interval programming problem with the help of the variation degree concept. Then, two simple linear programming models were extracted to obtain the lower and upper bounds of the optimal solution.

The results reveal that the new model is not complicated but more flexible and more relevant to real-world issues. In addition, it is evident that the suggested algorithm is effective and allows decision makers to specify their acceptance, indeterminacy and falsehood thresholds.

Under the transportation literature, there are several solutions for TP and STP in crisp, fuzzy set (FS) and intuitionistic fuzzy set (IFS) conditions. However, the STP has never been explored in connection with neutrosophic sets to the best of the authors’ knowledge. So, this work tries to fill this gap by coming up with a new way to solve this model using NSs.

To prepare a new type of composite for selective laser sintering 3D printing, the surface of Al₂O₃ nanoparticles was modified by the coupling agent (3-methacryloxypropyl)-trimethoxy silane (KH570) before coated with thermoplastic epoxy resin (TER).

Laser diffraction confirmed that the size distribution of prepared powder materials in this study ranged between 20 to 80 µm. Thermogravimetric analysis (TGA) showed that the loading of organic matter was below 5 per cent. Fourier transform infrared spectroscopy indicated that the silane coupling agent molecule bound strongly with the alumina. X-ray diffraction confirmed the prepared powder materials to be α-alumina. Through the angle of repose (AOR) test, the AOR = 18.435º was obtained, suggesting the high flowability of prepared powder materials. Scanning electron microscopy (SEM) observation demonstrated that the shape of the prepared powder materials was sphere-like grains.

Molding properties of prepared powder materials were studied on the basis of particle size distribution, particle size, sphericity, crystal structure and the reaction mode of the TER. This prepared powder materials can be well applied to the production of epoxy resin-coated Al₂O₃ composite parts with high precision and good mechanical performance.

This composite can be well applied to the production of epoxy resin-coated Al₂O₃ composite parts with high precision and good mechanical performance.

The complex and changeable working environment makes individual cross-boundary activities inevitable. Yet, how employee's boundary-spanning behavior (BSB) stimulates innovation performance remains to be further explored. This study aims to analyze the intermediary mechanism and boundary conditions between employee's BSB and innovation performance based on knowledge integration theory.

The authors collected data in two waves (July and August 2017) and from two hierarchical levels (from the final sample of 286 employees and their 29 direct supervisors) within ten manufacturing firms located in Nanjing and Anhui, China.

The results indicate that creative ideas generation mediates the relationship between employee's BSB and innovation performance. Moreover, employees with higher levels of team task interdependence (TTI) lead to a stronger relationship between ideas generation and innovation performance compared to lower levels of TTI (positively moderates the second stage of mediation).

By verifying the key effects of ideas generation and TTI between employee's BSB and innovation performance, the findings of this study provide practical guidance for enterprises to improve the efficiency of employee's BSB.

First, the authors use knowledge integration theory (Grant, 1996a) to deduce the formation process of the mechanism between employee's BSB and his/her innovation results, which clearly shows the driving forces and integral power of the formation process within an individual knowledge integrating system. The authors’ second contribution is further exploring the conditions under which engaging innovative ideas generated by the integration of employee's BSB is more likely to lead to ideas for implementation by examining TTI as a team-level moderator.

This study aims to address Industry 4.0 (I4.0) technologies that can improve the research and implementation of lean supply chain management (LSCM) and the enhanced LSCM subfields in I4.0 technologies.

The authors conducted a systematic literature review to detect, categorize and assess recent data, highlighting patterns and providing suggestions for potential research in this field, to investigate I4.0 literature and its effect on LSCM. The authors examined 79 published types of research from the Scopus database that were published between 2010 and 2021 and classified them into four LSCM fields: logistics, production, supply chain and marketing.

The authors can emphasize the fact that the literature on this topic is in progress, from early German academic research to the current creation of new effects around the world. The majority of the potential effects investigated were discovered to improve specific areas that ultimately enhance the practices of the four LSCM domains as well as performance outcomes. The authors were also able to assess the extent to which present and upcoming I4.0 technologies can improve LSCM research and implementation.

To the best of the authors’ knowledge, this is the first study of its kind. Although some research looked into various areas of I4.0 and LSCM topics, there has been no research specifically looking into the impact of I4.0 on LSCM. The originality of this study lies in the treatment of the main fields and sub-fields of LSCM, which can benefit from the technologies of I4.0. Academic scholars interested in the research topics may benefit from the findings of this study. Organizations in various industrial sectors, particularly manufacturing, where lean thinking is used, business professionals specialized in lean operations and supply chain management, along with anyone else who wants to learn more about the interrelationships between I4.0 and LSCM.