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The objective of this study is to examine Chinese consumers' behavioural intentions to reduce restaurant food wastage (i.e. intentions to order moderate meal size, and to pack leftovers) in a group context from both psychological and cultural perspectives.

This paper used an online self-administered survey for data collection. The measurements were either adopted or adapted from prior studies on pro-environmental behaviours. Using data from 311 Chinese consumers, the authors analysed restaurant food wastage in China by utilising PLS-SEM.

By applying an extended value-attitude-behaviour (VAB) hierarchy with information publicity, it is found that materialism, frugality consciousness, information publicity and environmental concern are important factors in influencing individuals' behavioural intentions to reduce food waste in a group dining-out context.

Drawing upon perspectives of Chinese consumers, this paper outlines key promoters and barriers to food waste mitigation, and provides meaningful insights to policymakers, NGOs, industry stakeholders and even consumers on how to effectively overcome the food waste challenge at the consumption stage in the context of Chinese culture.

The current study investigates the factors influencing graduates’ perceived employability by utilizing the stimulus-organism-response theory, in the post pandemic era.

A quantitative approach was employed to examine the hypotheses of the research framework through partial least squares structural equation modelling (PLS-SEM) on the SmartPLS software.

The result indicates that course structure has a positive effect on students’ grit and community of inquiry (CoI). Also, students’ grit and CoI have a positive relationship with students’ performance, while students’ performance has a positive relationship with perceived employability. Moreover, students’ grit, CoI and students’ performance sequentially mediated course structure and perceived employability, whereas readiness and self-directed learning strengthen the relationship between students’ performance and perceived employability.

The findings will benefit university management, government and potential employers on how confident the student is in the chances of a future career after graduating from a higher institution.

Copper matrix composites are widely used in high-voltage switches, electrified railways and other electric friction fields. The purpose of this study is to improve its wear resistance and investigate the effect of hybrid carbon nanotubes (CNTs) and titanium diboride (TiB₂) particles reinforced copper matrix composites on electrical wear performance.

CNTs and TiB₂ particles were introduced into copper matrix simultaneously by powder metallurgy combined with electroless copper plating. Electrical wear performance of the composites was studied on self-made pin on disk electrical wear tester.

The results show that the friction coefficient and wear rate of (1CNTs–4TiB₂)/Cu composite are respectively reduced by 40% and 25.3%, compared with single TiB₂/Cu composites. The micron-sized TiB₂ particles can hinder the plastic deformation of composites, and bear part of the load to weaken the wear rate of composites. CNTs with the self-lubricating property can form lubricating layer to reduce the friction coefficient of composites.

This work can provide a design method for further improving the wear properties of TiB₂/Cu composites.

The objectives of this study are to examine the impacts of CSR on purchase intentions either directly or indirectly and to investigate the moderating effects of consumer ethnocentrism on the relationship between CSR and purchase intentions.

This study utilized an online self-administered survey for data collection. All the measurement items were adopted or adapted from prior research concerning international marketing (Churchill, 1979). Concerning rating scales, the items of CSR, brand attitudes, and consumer ethnocentrism were measured from 1 (strongly disagree) to 7 (strongly agree), and the items of purchase intentions were measured from 1 (strongly disagree) to 5 (strongly agree).

The empirical findings suggest that CSR significantly influences purchase intentions directly and indirectly via brand attitudes. Besides, consumer ethnocentrism strengthens the positive effects of CSR on brand attitudes and purchase intentions.

This research sheds light on young Chinese consumers' purchase behaviors, which could facilitate Western brands implementing effective and efficient marketing strategies in the Chinese market.

Operational performance is critical for the banking sector for both managers and other stakeholders as it strongly affects the overall performance of the banking system. Traditional performance measures such as ratio analysis encountered certain shortcomings. At this juncture, data envelopment analysis (DEA) approaches are increasingly applied in bank efficiency studies. However, basic DEA models ignored the interactions between consecutive terms and focused primarily on measuring performance independently for each study period. All this is required to develop an operational performance model that can enable the long-term decision model.

An attempt has been made to develop a dynamic DEA within a non-radial category to measure interconnection activities considering non-performing loans as an undesirable link. This study uses the Indian banking dataset from 2015 to 2019. The study's research design directs three directions: ‘comparison of the dynamic DEA with the traditional static DEA model, areas of inefficiencies that are investigated for each factor using the factor efficiency index and the robustness results highlighting the performance difference between bank categories.'

Comparing with static DEA results, the study confirms that the dynamic model best measures long-term operational performance due to the linkage between consecutive terms. The efficiency analysis concludes that the input factor that requires the most improvement is ‘fixed assets' and ‘deposits'. The output factor that needs the most progress is ‘non-interest income'. The robustness of the developed model is proven by ownership categories present within the Indian banking system. At a significance level of 10%, the result of both the separate and dynamic model for privately owned banks is significantly better than that of publicly owned banks.

This paper proposes an operational efficiency model for Indian banks in line with undesirable output. The mean factor efficiency analysis related to non-radial DEA modelling enhances managerial flexibilities in determining improvement initiatives.

This paper aims to investigate the governance of labour standards in the less-studied yet rapidly globalising Ghanaian construction sector. While incorporation into international production networks generates several opportunities for workers, the drivers of adverse incorporation originate at multiple levels of analysis. The study offers an investigation into such drivers and their interconnections.

The authors utilise a multi-scalar framework and mixed methods of analysis. Both the qualitative and multi-level quantitative analyses rely on a primary dataset collected among 30 firms and 304 respondents, through semi-structured interviews.

A composite yet unbalanced labour standards governance configuration emerges, where the absence of social governance combined with a weak role of the State leaves labour standards subject to the variegated landscape of firms' embeddedness in the sector.

The construction industry is acquiring ever-increasing relevance in the economic trajectory of Ghana as well as that of several other African economies, not least for its large employment generation potential. Research on the governance of labour standards in the sector is, however, largely missing. The authors argue that labour incorporation dynamics represent a complex under-investigated regulatory challenge as well as a policy-making priority. The analysis is one of the first to offer a reconstruction of the governance landscape determining the challenges workers face in the Ghanaian construction sector, from both a qualitative and quantitative perspective.

Asks the question, what is the biggest challenge in management for multinationals in China? Identifies the answer as the “iron rice bowl” mindset of local employees. Suggests work has been done to understand the unique danwei system from which this mindset was formed but little attention has been given to the way the danwei system shaped people’s behaviour pattern in the workplace. Describes life at the danwei, the most important aspect of the socialization process most Chinese employees had gone through before they joined multinational companies in China and explains why their behaviour pattern formed in that process conflicts with that of the expatriates and how it affects their job performance.

The purpose of this paper is to describe a calibration method developed to improve the accuracy of a six degrees-of-freedom medical robot. The proposed calibration approach aims to enhance the robot’s accuracy in a specific target workspace. A comparison of five observability indices is also done to choose the most appropriate calibration robot configurations.

The calibration method is based on the forward kinematic approach, which uses a nonlinear optimization model. The used experimental data are 84 end-effector positions, which are measured using a laser tracker. The calibration configurations are chosen through an observability analysis, while the validation after calibration is carried out in 336 positions within the target workspace.

Simulations allowed finding the most appropriate observability index for choosing the optimal calibration configurations. They also showed the ability of our calibration model to identify most of the considered robot’s parameters, despite measurement errors. Experimental tests confirmed the simulation findings and showed that the robot’s mean position error is reduced from 3.992 mm before calibration to 0.387 mm after, and the maximum error is reduced from 5.957 to 0.851 mm.

This paper presents a calibration method which makes it possible to accurately identify the kinematic errors for a novel medical robot. In addition, this paper presents a comparison between the five observability indices proposed in the literature. The proposed method might be applied to any industrial or medical robot similar to the robot studied in this paper.

The paper investigates the effects of climate change along with ecological and carbon footprint on rice crop production in India during 1982–2016.

The autoregressive distributed lag (ARDL), canonical cointegration regression (CCR) and fully modified ordinary least square (FMOLS) models are used in the paper.

A long-run relationship is found between climate change and rice production in India. Results report that ecological footprint and carbon footprint spur long-term rice production. While rainfall boosts rice crop productivity in the short term, it has a negative long-term impact. Further, the findings of ARDL models are validated by other cointegration models, i.e., the FMOLS and CCR models.

This study provides insights into the role of ecological footprint and carbon footprint along with climate variables in relation to rice production.

In the literature, the effects of ecological and carbon footprint on rice production are missing. Therefore, this is the first study to empirically examine the impact of climate change along with ecological footprint and carbon footprint on rice production in India.