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The purpose of this paper is to contribute to the supply chain risk management literature by examining how stakeholders place pressure on the firm to engage in risk management activities.

This paper utilizes a survey approach to test the nomological model. The analysis was carried out using structural equation modeling techniques.

The results demonstrate that stakeholders place pressure on the firm to mitigate risk and that knowledge management (KM) and joint planning activities with suppliers serve as mediating roles in the model. The process-oriented model reveals that these factors influence the firm's ability to be responsive to customer demand.

The research represents one of the first papers to empirically test how stakeholder theory and KM contributes to risk mitigation activities. Additionally, the paper shows the impact of KM factors on risk mitigation activities. The paper attempts to explain from both a theoretical and empirical perspective how and why firms are engaging in risk mitigation activities and how the impacts demand responsiveness.

The purpose of this paper is to study the cavitation erosion stages of AA5083 by electrochemical noise (EN).

EN technology including noise resistance and fast Fourier transform were used to characterize the electrochemical process during the cavitation erosion process.

AA5083 suffers from uniform corrosion during the cavitation erosion process. The whole cavitation erosion process can be divided into three stages: incubation stage, acceleration stage and steady-state stage. EN signals showed obvious differences in different stages of cavitation erosion.

EN technique is a suitable method that can be used to study cavitation erosion mechanism and identify cavitation erosion stages.

Deglobalization and the coronavirus disease 2019 (COVID-19) pandemic have severely hindered multinational enterprise (MNE) investment. At the same time, digital technology is seriously challenging it with traditional production factor flows. Few studies have realized that the impact of digitalization is not limited to either transaction costs or the location-boundness of firm-specific advantages (FSAs), but extends to profound changes in the fundamental essence of MNEs. There is still limited understanding of this body of knowledge as a whole, including how its subtopics are interrelated. This study took the production factor change perspective to review MNE theory in the digital era. Therefore, this study aims to identify any upcoming and undeveloped themes in order to provide a platform suited to direct future research.

This paper presents a summary and a review of 151 articles published between 2007 and 2020. Such review was conducted to systematically explain the connotations and influential mechanisms of digital empowerment on MNE theory. This was achieved by using the CiteSpace citation visualization tool to build a keyword co-occurrence network.

The research findings pertain to how digitalization expands, breaks through, and even reshapes traditional MNE theory from four distinctive angles: the influential factors of internationalization, the process of internationalization, competitive advantage, and location choice. The findings are followed by the presentation of future research directions.

This paper presents an examination of MNE theory in the digital era from the perspective of production factor change. In doing so, it identifies significant theoretical innovation opportunities for future scholarly research priorities.

The purpose of this paper is to explore the association between experiencing ageism in the workplace and working conditions on perceived job sustainability among current workers aged 40 and over in Europe, within the context of positive and active ageing strategies and programmes.

Data are from the 6th round of the European Working Conditions Survey (n=22,229), and the analytical sample contains adults aged 40 and older in 28 European Member States grouped by employment regime: social-democratic regime, corporatist regime, liberal regime, Southern European regime, post-socialist corporatist regime and post-socialist liberal regime. Perceived job sustainability estimated based on whether the respondent thinks (yes/no) that they can do their current job or similar role until the age of 60 or in next five years if the respondent is aged 56 and over. Experience of ageism in the workplace (yes/no) is self-reported. Generalised structural equation modelling was used to control for both individual- and organisational-level influences and to correct for potential endogeneity in estimating the impact of experienced ageism on perceived job sustainability. In addition, employment regimes are included in the model to investigate differences in this relationship by setting.

Adults who have not experienced ageism are more likely to have positive perceptions of job sustainability, net of other factors and employment regime. Job sustainability is positively associated with age, being male, being in good health status and higher levels of work satisfaction.

The main limitation of this study is that data are cross-sectional, and time variant factors and individual fixed characteristics are excluded from the estimation. The results are influenced by the self-reported data about experienced ageism and evaluation of workplace environment, which may lead to potential endogeneity caused by unobservable personal characteristics such as personality type.

Although the average reported prevalence of ageism in the workplace is 3.4 per cent across the 28 European Union Member States, this study shows that ageism imposes significant negative influence on current workers. This study has highlighted the interrelationship between ageism, workplace satisfaction and job sustainability in this comparative setting. Efforts to reduce ageism in the workplace are likely to lead to improved working conditions and job sustainability.

Given the critical role of user-generated content (UGC) in e-commerce, exploring various aspects of UGC can aid in understanding user purchase intention and commodity recommendation. Therefore, this study investigates the impact of UGC on purchase decisions and proposes new recommendation models based on sentiment analysis, which are verified in Douban, one of the most popular UGC websites in China.

After verifying the relationship between various factors and product sales, this study proposes two models, collaborative filtering recommendation model based on sentiment (SCF) and hidden factors topics recommendation model based on sentiment (SHFT), by combining traditional collaborative filtering model (CF) and hidden factors topics model (HFT) with sentiment analysis.

The results indicate that sentiment significantly influences purchase intention. Furthermore, the proposed sentiment-based recommendation models outperform traditional CF and HFT in terms of mean absolute error (MAE) and root mean square error (RMSE). Moreover, the two models yield different outcomes for various product categories, providing actionable insights for organizers to implement more precise recommendation strategies.

The findings of this study advocate the incorporation of UGC sentimental factors into websites to heighten recommendation accuracy. Additionally, different recommendation strategies can be employed for different products types.

This study introduces a novel perspective to the recommendation algorithm field. It not only validates the impact of UGC sentiment on purchase intention but also evaluates the proposed models with real-world data. The study provides valuable insights for managerial decision-making aimed at enhancing recommendation systems.