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Asset specificity is a focal feature of buyer–supplier exchanges; however, whether unilateral asset specificity encourages opportunistic value expropriation or promotes trust-based value creation remains controversial. The purpose of this paper is to investigate how institutional forces shape the controversial roles of buyer asset specificity in supply chain relationships.

With a survey of 217 matched manufacturer–supplier dyads in China, the study adopts ordinary least squares regression analyses to test hypotheses.

The results show that two key institutional forces, guanxi importance and government intervention, play different roles in shaping the value expropriation and value creation roles of buyer asset specificity. As an informal institutional force, guanxi importance weakens the impact of buyer asset specificity on opportunistic value expropriation and facilitates trust-based value creation. Moreover, as a formal institutional force, government intervention amplifies the effect of buyer asset specificity on opportunism but strengthens its connection with trust.

By incorporating an institutional view to investigate how institutional forces affect this “valuable but vulnerable” dilemma of asset specificity, this study reconciles the controversy concerning value expropriation vs value creation and enriches understanding of the critical roles of institutional parameters in supply chain management.

In the pursuit of co-exploration, the strength and brokerage dimensions of dyadic ties create a novelty–action trade-off: tie strength facilitates coordination but constraints novelty, while tie brokerage expands knowledge diversity but aggravates coordination difficulty. This study contributes towards a better understanding of this tension by comparing two dimensions of relational ties and examining their contingent values given different environmental factors and exchange characteristics.

The authors used survey data from 194 matched buyer–supplier dyads in China's high-tech industries and employed hierarchical moderated regression analysis to test the proposed hypotheses.

The authors find that compared with tie strength, tie brokerage has a stronger positive effect on co-exploration. Moreover, guanxi importance amplifies the effect of tie strength while decreasing the value of tie brokerage. As market uncertainty increases, the role of tie brokerage becomes more salient. Additionally, tie strength becomes less effective when buyer centralization is high, whereas tie brokerage exerts a stronger impact on co-exploration when an exchange is highly formalized.

This study contributes to the supply chain literature by adopting a relational perspective to integrate relational ties into the study of buyer–supplier co-exploration and by elaborating on the different implications of tie strength and tie brokerage in resolving the novelty–action trade-off. Furthermore, it provides a more nuanced understanding of when distinct dimensions of relational ties are effective, by clarifying boundary conditions in terms of environmental factors and exchange characteristics.

This paper aims to study the affecting factors on bird nesting on electronic railway catenary lines and the impact of bird nesting events on railway operation.

First, with one year’s bird nest events in the form of unstructured natural language collected from Shanghai Railway Bureau, the records were structured with the help of python software tool. Second, the method of root cause analysis (RCA) was used to identify all the possible influencing factors which are inclined to affect the probability of bird nesting. Third, the possible factors then were classified into two categories to meet subsequent analysis separately, category one was outside factors (i.e. geographic conditions related factors), the other was inside factors (i.e. railway related factors).

It was observed that factors of city population, geographic position affect nesting observably. Then it was demonstrated that both location and nesting on equipment part have no correlation with delay, while railway type had a significant but low correlation with delay.

This paper discloses the principle of impacts of nest events on railway operation.

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.

Coil shape quality is the external representation of strip product quality, and it is also a direct reflection of strip production process level. This paper aims to predict the coil shape results in advance based on the real-time data through the designed algorithm.

Aiming at the strip production scale and coil shape application requirements, this paper proposes a strip coil shape defects prediction algorithm based on Siamese semi-supervised denoising auto-encoder (DAE)-convolutional neural networks. The prediction algorithm first reconstructs the information eigenvectors using DAE, then combines the convolutional neural networks and skip connection to further process the eigenvectors and finally compares the eigenvectors with the full connect neural network and predicts the strip coil shape condition.

The performance of the model is further verified by using the coil shape data of a steel mill, and the results show that the overall prediction accuracy, recall rate and F-measure of the model are significantly better than other commonly used classification models, with each index exceeding 88%. In addition, the prediction results of the model for different steel grades strip coil shape are also very stable, and the model has strong generalization ability.

This research provides technical support for the adjustment and optimization of strip coil shape process based on the data-driven level, which helps to improve the production quality and intelligence level of hot strip continuous rolling.

This paper aims to study the effects of MnO₂ on the ZnO–Bi₂O₃-based varistor prepared via flash sintering (FS)

MnO₂-doped ZnO–Bi₂O₃-based varistors were successfully prepared by the FS with a step-wise increase of the .current in 60 s at the furnace temperature <750°C under the direct current electric field of 300 V cm⁻¹. The FS process, microstructure and the electrical performance of ZnO–Bi₂O₃-based varistors were systematically investigated.

The doping of MnO₂ significantly decreased the onset temperature of FS and improved the electrical performance of FS ZnO varistor ceramic. The sample with 0.5 mol% MnO₂ doping shows the highest improvement, with the nonlinear coefficient of 18, the leakage current of 16.82 µA, the threshold voltage of 459 V/mm and the dielectric constant of 1,221 at 1 kHz.

FS is a wonderful technology to enhance ZnO varistors for its low energy consumption, and a short sintering time can reduce grain growth and inhabit Bi₂O₃ volatilize, yet few research studies work on that. In this research, the authors analyzed the FS process and improved the electrical characteristics through MnO₂ doping.

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.

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.

The purpose of this study is to improve communication success through barrier identification and analysis so that the identified barriers can help project teams establish effective information-exchange strategies.

The recent publications on construction communication about time management are reviewed. Then, the semi-structured interviews are performed with both questionnaires and audio recordings (n1 = 18). Next, the collected data are analyzed using both statistical measures on the questionnaire survey and qualitative coding analysis on the text transcripts from an audio recording. Particularly, the identified barriers are substantiated using a scientometrics approach based on the published articles (2011–2020, n2 = 52,915) for purposeful information-sharing solutions in construction time management. Furthermore, the intervention strategies from the top 10 most-cited articles are analyzed and validated by comparisons with the results from construction surveys and relevant studies.

Based on the discussed communication difficulties, five main barriers were identified during time-cost risk management: probability and statistical concepts, availability of data from external resources, details of team member experiences, graphics (and graphical presentation skills), and spatial and temporal (a.k.a. 4D) simulation skills. For the improvement of communication skills and presentation quality regarding probability and statistical concepts, project teams should emphasize context awareness, case studies and group discussions. Details of communication techniques can be adjusted based on the backgrounds, experiences and expectations of team members.

The dataset n1 has both size and duration limits because of the availability of the invited industry professionals. The dataset n2 considers the literature from 2011 to 2020. Any before-the-date and unpublished studies are not included in the study.

A thorough comprehension of communication barriers can help project teams develop speaking, writing and analytical thinking skills that will enable the teams to better deliver ideas, thoughts and meanings. Additionally, the established discussion on barrier-removal strategies may enhance time management effectiveness, reduce project delays, avoid confusion and misunderstanding and save rework costs.

This research calls for the awareness of communication barriers in construction project execution and team collaboration. The identified barriers and the established solutions enrich the approaches of construction companies to share information with communities and society.

This is the first identification model for communication barriers in the time management of the construction industry to the authors' knowledge. The influencing factors and the countermeasures of communication difficulties highlighted by the research were not examined systematically and holistically in previous studies. The findings provide a new approach to facilitate the development of powerful communication strategies and to improve project execution.

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.