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The purpose of this paper was to obtain the lubrication characteristics of heavy hydrostatic bearing in heavy equipment manufacturing industry through theoretical analysis and numerical simulation.

This paper discusses the influence of oil film thickness variation on velocity field, outlet-L and outlet-R flow velocity under the hydrostatic bearing running in no-load 0 N, load 400 KN, full load 1,500 KN and rotating speeds of 10 r/min, 20 r/min, 30 r/min, 40 r/min, 50 r/min and 60 r/min, by using dynamic mesh technology and FLUENT software.

When the working table rotates clockwise, in the change process of oil film thickness, the fluid flow pattern of the lubricating oil at the edge of the sealing oil is the rule of laminar flow, and the oil cavity has a vortex. The outlet-R flow velocity becomes higher and higher by increasing the bearing load and working table speed, and the flow velocity increases with the decrease in oil film thickness; the outlet-L flow velocity increases with the decrease in oil film thickness under low rotating speed (less than 10 r/min) condition and decreases with the decrease of oil film thickness under high rotating speed (more than 60 r/min) condition.

The influence of the oil film thickness on the flow state distribution of the oil film was analyzed under different working conditions, and the influence rules of oil film thickness on the flow velocity of hydrostatic bearing oil pad was obtained by using dynamic mesh technology.

This study aims to find out the relevance of observable teacher characteristics – age, gender, teaching experience and qualification in understanding the performance of tertiary students.

A quantitative approach was taken. The input-process–output-context framework by Schereens (2004) was used in selecting appropriate variables for the study. Students’ examination results and other administrative records as well as data collected via teacher survey were analyzed using multilevel statistical techniques. Overall, 40 teachers and over 1,800 students were involved in the study.

The effect of the selected teacher variables was mixed. For example, while female teachers impacted negatively on first semester Communication Skills (CS1), their effect on the same course during the second semester was positive. Also, teachers with teaching experiences between five and eight years impacted negatively on CS1 but positively on first semester Computer Literacy (CL1).

Even at the tertiary level, the teacher factor is an important variable influencing student performance. However, a contextualized interpretation of the findings is emphasized considering the fact that only one Ghanaian Polytechnic was studied.

The study provides a starting point for building a body of evidence that would inform policymakers, quality assurance practitioners and Polytechnic staff alike of possible approaches, methodologies and variables to focus on in ensuring internal quality.

The study would help the studied Polytechnic to direct its resources to areas that can practically improve educational quality and society in general.

The study contributes to the debate about quality in African higher education given that studies that use the value-added approach in examining institutional effectiveness in the African context are almost non-existent.

Despite an intensified anti-corruption campaign, China's economic growth and social transition continue to breed loopholes and opportunities for big corruption, leading to a money-oriented mentality and the collapse of ethical standards, and exposing the communist regime to greater risk of losing moral credibility and political trust. In Hong Kong, the setting up of the Independent Commission Against Corruption (ICAC) in 1974 marked the advent of a new comprehensive strategy to eradicate corruption and to rebuild trust in government. The ICAC was not just an anti-corruption enforcement agency per se, but an institution spearheading and representing integrity and governance transformation. This chapter considers how mainland China can learn from Hong Kong's experience and use the fight against corruption as a major political strategy to win the hearts and minds of the population and reform governance in the absence of more fundamental constitutional reforms, in a situation similar to Hong Kong's colonial administration of the 1970s–1980s deploying administrative means to minimize a political crisis.

Independent directors are important corporate decision participants and makers. Based on the Chinese cultural background, this paper interprets the listing order of independent directors as independent directors’ status, exploring their influence on the corporate research and development (R&D) behavior.

This paper studies A-share listed firms in China from 2008 to 2018 as the sample. The main method is ordinary least square (OLS) regression. We also use other methods to deal with endogenous problems, such as the firm fixed effect method, change model method, two-stage instrumental variable method, and Heckman two-stage method.

(1) Higher independent directors’ status attribute to more effective exertion of supervision and consultation function, and positively enhance the corporate R&D investment. The increase of the independent director’ status by one standard deviation will increase the R&D investment by 4.6%. (2) The above effect is more influential in firms with stronger traditional culture atmosphere, higher information opacity and higher performance volatility. (3) High-status independent directors promote R&D investment by improving the scientificity of R&D evaluation and reducing information asymmetry. (4) The enhancing effect of independent director’ status on R&D investment is positively associated with the firm’s patent output and market value.

This paper contributes to understanding the relationship between the independent directors’ status and their duty execution from an embedded cultural background perspective. The findings of the study enlighten the improvement of corporate governance efficiency and the healthy development of the capital market.

This paper aim to take the ship shaft stern bearing as the research object, and studies the influence of journal axial vibration on bearing dynamic characteristics under different misaligned angles and rotation speeds.

Computational fluid dynamics (CFD) and harmonic excitation method were used to build bearing unstable lubrication model, and the dynamic mesh technology was used in calculation.

The results indicate that journal axial vibration has a significant effect on bearing dynamic characteristics, like maximum oil film pressure, bearing stiffness and damping coefficients, and the effect is positively correlated with journal misaligned angle. The effect of shaft rotation speed and journal axial vibration on bearing dynamics characteristics are independent; they have no coupling. Bearing axial stiffness is mainly affected by the journal axial displacement, bearing axial damping is mainly affected by journal axial velocity and they are positively correlated with the misaligned angle. The influence of rotational speed on bearing axial stiffness and axial damping is not obvious.

This paper establishes the bearing dynamic model by CFD and harmonic excitation method with consideration of cavitation effect and analyzing the influence of journal axial vibration on the dynamic characteristics. The results are benefit to the design of ship propulsion shaft and the selection of stern bearing. Also, they are of great significance to improve the operation stability of the shaft bearing system and the vitality of the ship.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2022-0337/

The purpose of this paper was to review the indicators for the three aspects (environment, economy and society) of sustainability (the triple-bottom line (TBL) perspective) for manufacturing sectors. In addition, this paper aimed to: document the sustainability indicators for manufacturing sectors; perform an analysis of these indicators to show their evolutional progress and maturity in terms of their consistent, repeated and standardized usage; and highlight the further work needed to make them mature and more standardized.

The following keywords were used to explore and find the relevant articles: sustainable manufacturing evaluation, sustainability indicators, life cycle assessment, tools for sustainability assessment, and economic and social evaluation in industries. To find articles within this sample, the major focus remained on the terms “indicators,” “metrics,” and “performance measures.” This paper systematically reviewed the studies and analyzed the different sustainability indicators from the TBL viewpoint. Following this, the documented indicators were critically discussed along with their evolutional progress and maturity level.

The results showed that solid waste was the least used and immature aspect in the environmental category, whereas the more frequently used and developed indicators were related to material used, energy used and air emissions. Economic assessment was most of the time limited to cost-based indicators. From a social viewpoint, most of the reviewed studies were based on workers and local community and society related indicators rather than consumers-based indicators. From a sectoral viewpoint, comparatively, studies for metal manufacturing industries were more focused on all three dimensions of sustainability. On an overall basis, of the 144 discussed indicators, almost 34 percent (49) were used just once. Comparatively, the usage of indicators was more mature in manufacturing activities of developed countries than developing ones. Moreover, the usage of indicators was more common at the product level than at the other levels.

Unlike previous sustainability indicator sets which were generally long lists of proposed indicators rather than applicable and measurable ones, this paper reported the indicator sets based on studies for manufacturing sectors. Moreover, in contrast to previous reviews on indicators which were mostly based on the environmental dimension, this paper included all three dimensions of sustainability in one comprehensive review while focusing on recent studies published from 2007 to 2017. This paper has explored the recent evolutional progress and maturity of sustainability indicators, and provided insights into their development in manufacturing sectors.

The purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization.

The authors have developed the theoretical model using resource-based view logic and contingency theory. The model was further tested using partial least squares-structural equation modeling (PLS-SEM) following Peng and Lai (2012) arguments. The authors gathered 205 responses using survey-based instrument for PLS-SEM.

The statistical results suggest that out of four research hypotheses, the authors found support for three hypotheses (H1-H3) and the authors did not find support for H4. Although the authors did not find support for H4 (moderating role of supply base complexity (SBC)), however, in future the relationship between BDPA, SBC and sustainable supply chain performance measures remain interesting research questions for further studies.

This study makes some original contribution to the operations and supply chain management literature. The authors provide theory-driven and empirically proven results which extend previous studies which have focused on single performance measures (i.e. economic or environmental). Hence, by studying the impact of BDPA on three performance measures the authors have attempted to answer some of the unresolved questions. The authors also offer numerous guidance to the practitioners and policy makers, based on empirical results.

Within the current institutional landscape, characterized by increased societal and governmental emphasis on environmental preservation, there is growing interest in the potential of digital transformation (DT) to advance the circular economy (CE). Nonetheless, the empirical substantiation of the connection between DT and CE remains limited. This study seeks to investigate the impact of DT on CE at the organizational level and examine how various institutional factors may shape this relationship within the Chinese context.

To scrutinize this association, we construct a research framework and formulate hypotheses drawing on institutional theory, obtaining panel data from 238 Chinese-listed high-tech manufacturing firms from 2006 to 2019. A regression analysis approach is adopted for the sample data.

Our regression analysis reveals a positive influence of DT on CE performance at the organizational level. Furthermore, our findings suggest that the strength of this relationship is bolstered in the presence of heightened regional institutional development and industry competition. Notably, we find no discernible effect of a firm’s political connections on the DT–CE performance nexus.

This study furnishes empirical evidence on the relationship between DT and CE performance. By elucidating the determinants of this relationship within the distinct context of Chinese institutions, our research offers theoretical and practical insights, thus laying the groundwork for subsequent investigations into this burgeoning area of inquiry.