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Based on the resource-based view (RBV) theory, this study examines how supply chain digitalisation affects firms’ performance by enabling firms to build supply chain agility and innovation capability.

Drawing from the dataset of 271 firms in the United Arab Emirates (UAE), we used structural equation modelling to validate the models. Mediation and moderation analyses were performed to test the research hypotheses.

The results suggest a positive correlation between supply chain digitalisation and a company’s performance, fully mediated by both supply chain agility and innovation capability. The interplay between supply chain agility and innovation capability has the potential to result in unfavourable outcomes for a firm’s performance. These results provide valuable insights into supply chain management during digital transformation.

The study advances the extant research on the antecedents of a firm’s performance by incorporating supply chain digitalisation and mediating mechanisms of supply chain agility and innovation capability that serve as a conduit between supply chain digitalisation and a firm’s performance based on RBV.

COVID-19 has caused critical supply chain problems, especially in sustainable supply chain management, but very few empirical studies have been explored how to improve the firm sustainability through supply chain endeavours such as supply chain agility to manage the impacts of COVID-19. This paper aims to develop a model to incorporate supply chain agility and supply chain relationships that link firm sustainability to mitigate the impacts of the pandemic.

The authors conducted an online survey and collected 203 valid responses from businesses in the United Arab Emirates, and employed an exploratory factor analysis, mediated regression analysis and structural equation modelling methodology to test the models and hypotheses.

The authors find that the adoption of supply chain agility can improve supply chain relationships and positively impact sustainability. Meanwhile, supply chain relationships partially mediate the relationship between supply chain agility and sustainability. In addition, sustainability mitigates the impacts of COVID-19 pandemic on supply chains.

The results provide fruitful insights and implications for the challenges and uncertainties caused by the pandemic post COVID-19 and provide several directions for further research.

The need for an efficient enterprise risk management (ERM) has never been greater than today when organisations face complex and interconnected risks targeting their business models. Macroeconomics and geopolitical uncertainties, digital transformations of industries and sectors, cybersecurity, and climate change, among other trends, present significant uncertainties. This article aims to analyse the scientific papers on research specific to ERM and review the links between the researched area and market or corporate governance topics. Risk management is underdeveloped in many organisations; the current standard for risk management is a reactive approach. It is usually treated in isolation rather than as a core competency and a strategic asset. As a result, risk management processes are ineffective and seen as adding value to decision-making and responding to uncertainties. Based on the literature, the scope is to set up the framework for future research on ERM by building a bibliometric analysis and examining articles collected from the Web of Science Core Collection database. The study identified the essential research on this topic based on the citations of the papers and the author’s countries with the highest number of publications and citations. VOSviewer software analysed the ERM system based on keywords, citations, geographical distribution, and authorships. The research proves a strong connection between the ERM and corporate governance topics considering the stage where most countries are regarding this subject.

This study aims to apply an electrochemical grinding (ECG) technology to improve the material removal rate (MRR) under the premise of certain surface roughness in machining U71Mn alloy.

The effects of machining parameters (electrolyte type, grinding wheel granularity, applied voltage, grinding wheel speed and machining time) on the MRR and surface roughness are investigated with experiments.

The experiment results show that an electroplated diamond grinding wheel of 46# and 15 Wt.% NaNO₃ + 10 Wt.% NaCl electrolyte is more suitable to be applied in U71Mn ECG. And the MRR and surface roughness are affected by machining parameters such as applied voltage, grinding wheel speed and machining time. In addition, the maximum MRR of 0.194 g/min is obtained with the 15 Wt.% NaCl electrolyte, 17 V applied voltage, 1,500 rpm grinding wheel speed and 60 s machining time. The minimum surface roughness of Ra 0.312 µm is obtained by the 15 Wt.% NaNO₃ + 10 Wt.% NaCl electrolyte, 13 V applied voltage, 2,000 rpm grinding wheel speed and 60 s machining time.

Under the electrolyte scouring effect, the products and the heat generated in the machining can be better discharged. ECG has the potential to improve MRR and reduce surface roughness in machining U71Mn.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-10-2023-0341/

In this study the authors examined the impact of employees' collaborative behaviours with colleagues and customers (i.e. employee–employee collaboration and employee–customer collaboration) on their creative self-efficacy and service innovation from the perspective of service-dominant logic. The authors also examined the differences between frontline and non-frontline fitness service employees in our research model. This study aims to discuss the aforementioned objectives.

Participants were fitness-centre employees in Taiwan recruited via convenience sampling. A total of 410 participants completed our online survey, and the authors analysed the data using partial least squares structural equation modelling (PLS-SEM).

The authors found that collaboration with both colleagues and customers had a positive impact on employees' creative self-efficacy. Collaboration with colleagues directly affected service innovation, while collaboration with customers indirectly affected service innovation via creative self-efficacy. In addition, there was a significant difference between frontline and non-frontline employees in our research model. Specifically, the path from collaboration with customers to creative self-efficacy was stronger for frontline employees, and the path from creative self-efficacy to service innovation was stronger for non-frontline employees.

This study improves the understanding of the way in which different collaborative behaviours promote employees' creative self-efficacy and service innovation. Further, it is the first to identify the difference between frontline and non-frontline employees and it shows how the effects of collaborative behaviours differ between them in the context of fitness services.

This study aims to integrate and revalidate previously proposed various structural models in understanding residents’ attitudes and behaviors in relation to mega-events before the events.

This study focussed on the 2022 Beijing Winter Olympics and used a questionnaire-based quantitative survey prior these events. A PLS-SEM analysis was run on a sample of 473 residents, in testing relationships between residents’ trust, perceived impacts, support for hosting and subjective well-being.

Results revalidate propositions from previous research, but suggest key contextual differences in light of biosecurity risks. Residents’ perceived positive (cultural) and negative (environmental) impacts affect their support for mega-events, and their perceived positive (economic and cultural) and negative (social) impacts affect their subjective well-being. Variances in the relationships were found for those who perceive a high biosecurity risk.

The data were collected from one mega-event, and thus the findings of this study are highly contextualized.

This research suggest that mega-event organizers should put effort into promoting the benefits of hosting mega-events and work collaboratively with stakeholders to reduce potential negative costs and risks as well as increase resident well-being via bringing in economic and cultural benefits.

This research focusses on social well-being during and post COVID in relation to the hosting of a mega-event.

The data were collected from the 2022 Beijing Winter Olympics, a mega-event that, because of COVID-19 and restricted spectator flows, potentially had characteristics quite different from that of other Winter Olympics or sporting mega-events.

This study aims to develop a Stackelberg Game Model for seeking the optimal subsidy plans with varying levels of government financial capability (GFC). Furthermore, the scenario-based analysis is conducted and will enable governments to identify a comprehensive subsidy plan as follows: improve project performance and optimise social welfare.

A Stackelberg Game Model is developed to optimise the effectiveness of subsidies on the performance of public-private partnerships (PPPs).

According to the scenarios that are generated from the model, governments that are confronting with limited public budgets could reduce the intensity of performance incentives and increase the participation-oriented subsidy. Whilst a participation-oriented subsidy can stimulate private organisations’ willingness to participate in infrastructure PPPs, a performance-oriented subsidy is capable of facilitating the projects’ performances. Intuitively, the performance-oriented subsidy enables the private entities of PPPs to improve their efforts on the projects to realise higher profits. However, the participation-oriented subsidy is unable to affect the level of their effort spent on the projects. To satisfy both parties’ expectations in a PPP, the performance-oriented subsidy needs to be prioritised for a purpose of enabling higher quality outputs.

The game model developed in this study contributes to the literature by offering new insight into the underlying mechanism of governments and private entities, in terms of their decision-making for subsidy planning and contributions (i.e. resource allocation and spending) during the life-cycle of PPPs. This research enriches the government subsidy model by revealing the effects of the GFC and clarifies the impacts of two different schemes of subsidy on the performance of PPPs.

The government has been conventionally viewed as being omnipotent to provide PPPs with a wide range of subsidies. However, the subsidies are not unlimited, due to GFC. In addressing this void, this study has modelled the impacts of government subsidy plans with a consideration of GFC-related constraints. The combined effects of the participation- and performance-oriented subsidies on the project performance of PPPs have been examined.

This study aims to test the compensatory consumption theory with the explicit hypothesis that China's new-rich tend to waste relatively more food.

In this study, the authors use Heckman two-step probit model to empirically investigate the new-rich consumption behavior related to food waste.

The results show that new-rich is associated with restaurant leftovers and less likely to take them home, which supports the compensatory consumption hypothesis.

Understanding the empirical evidence supporting compensatory consumption theory may improve forecasts, which feed into early warning systems for food insecurity. And it also avoids unreasonable food policies.

This research is a first attempt to place food waste in a compensatory-consumption perspective, which sheds light on a new theory for explaining increasing food waste in developing countries.

Online influencers are increasingly used by brands around the globe to establish brand communication. This study aims to investigate the characteristics of social media content in terms of presentation style and brand communication among online influencers in China. The authors identified how characteristics of social media posts influence young consumers’ engagement with the posts.

The authors analyzed 1,779 posts from the Sina Weibo accounts of ten top-ranked online influencers by combining traditional content analysis with Web data crawling of audience engagement with social media posts.

Online influencers in China more frequently used photos than videos to communicate with their social media audience. Altogether 8% and 6% of posts carried information about promotion and event, respectively. Posts with promotional incentives as well as event information were more likely to engage audiences. Altogether 22% of the sampled social media posts mentioned brands. Posts with brand information, however, were less likely to engage audiences. Furthermore, having long text is more effective than photos/images in generating likes from social media audiences.

Combining content analysis of social media posts and engagement analytics obtained via Web data crawling, this study is, to the best of the authors’ knowledge, one of the first empirical studies to analyze influencer marketing and young consumers’ reactions to social media in China.

Firms aiming to enhance firm performance require specific investment and qualification of capability. However, the relationship between these factors and firm performance is influenced by boundary conditions. This study focuses on the role of shared values as a governance mechanism in moderating the relationship between specific investment, qualification of capability, and firm performance.

Drawing on transaction cost analysis, the authors develop a theoretical model to explore how shared values moderate the relationship between specific investment, qualification of capability, and firm performance. The authors collected data from 156 firms in Cote d’Ivoire, resulting in a sample of 216 observations. The authors employed hierarchical regression analysis and the “pick-a-point approach” to examine how specific investment and qualification of capability impact firm performance at different levels of shared values.

The results indicate that specific investment and qualification of capability have a partially positive impact on firm performance. Interestingly, shared values are an important moderating variable, acting as a boundary condition that affects the relationship between specific investment, qualification of capability, and firm performance. Specifically, specific investment leads to excellent firm performance only when shared values are not sufficiently high, whereas qualification of capability leads to superior firm performance only when shared values are sufficiently high.

This study has three research implications. First, this study enriches TCA literature by identifying shared values as a boundary condition and examining the moderating role of shared values. Second, the study findings discover new insights into how specific investment and qualification of capability enhance or inhabit organizational performance at different levels of shared values. Third, this study extends the existing research and reveals the specific conditions for positive or negative relationships between specific investment and organizational performance and qualification of capability and organizational performance.

First, compared to specific investment, qualification of capability has greater effect on organizational performance. Second, when considering whether to increase specific investment or/and improve qualification of capability, executives are encouraged to first evaluate their firm's level of shared values and then make appropriate strategic decision accordingly. Third, six tactics are recommended for enhancing shared values.

This study enriches the literature on transaction cost analysis and contributes to understanding the moderating role of shared values. The findings shed light on the specific investment, qualification of capability, and firm performance relationships. Additionally, this research highlights the importance of considering shared values as a boundary condition in examining these relationships.