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The purpose of the paper is to construct a model that considers video purchase and then identifies the logical relationships implied by the parameters to explore video platform operation mechanisms.

The authors analyzed the video platform system using a mathematical modeling approach and numerical optimization techniques. Through pricing decisions, the authors obtained equilibrium results for the profitability of the video platforms and analyzed the favorable market factors. The authors then extended the model by analyzing the competitive strategies of the two video platforms in the market.

The authors find that advertiser profitability, ad nuisance, video sensitivity and video creator network effects are important factors influencing the pricing strategy of video platforms. During positive market conditions, video platforms tend to lower their prices until they absorb enough users. As market conditions change, the price adjustment strategies of video platforms are affected by parameter changes and inter-parameter relationships.

The study considers the network effects of video creators, which provides a realistic reference for scholars and managers. In addition, the authors consider the bargaining power of platforms when purchasing content. The authors provide a fresh perspective for scholars while filling a gap in the field as video platforms can acquire a portion of the content on the market by setting a purchase price.

As an important engine of economic growth, the digital economy is bringing new opportunities for the promotion of entrepreneurship. However, key questions regarding the extent of the effect of the digital economy on entrepreneurship remain unanswered. This study examines how the digital economy influences entrepreneurship in China using provincial data from 2011–2020, applying convergence tests and spatial econometric models.

Based on theoretical analysis and using macro provincial data covering the period of 2011–2020, we adopt a diversified empirical analytical method and apply a combination of the convergence trend test, spatial auto correlation test, and spatial Durbin model to test the research hypotheses.

First, there is spatial correlation between the digital economy and entrepreneurship. Second, the overall trend of China’s digital economy shows s convergence, with the whole country and the eastern region showing absolute β convergence and the whole country as well as the central and western regions showing β conditional convergence. Third, the digital economy can significantly promote entrepreneurship and has spatial spillover effects. Moreover, higher education has a negative moderating effect on the process of digital economy empowering entrepreneurship.

Studying the spatially correlated impacts of the digital economy on entrepreneurship enhances our understanding of its contribution to economic growth. Policy-makers can use these findings to develop targeted digital infrastructure investments in lagging provinces, guide entrepreneurs to better grasp the opportunities of the digital economy, and provide support for innovation and entrepreneurship. The findings also could offer Chinese experience that can be used to guide developing countries in utilizing the digital economy to enable entrepreneurship.

This paper expands and enriches the analytical focus on digital economy-empowered entrepreneurship and complements the current theoretical research on the moderating effect of the digital economy in empowering entrepreneurship.

This study aimed to verify the impact of e-commerce live streaming interactivity on consumer engagement behavior. Specifically, the multiple dimensions of interactivity and tie strength together form a high-level consumer engagement behavior.

Data collection was carried out in the form of a questionnaire survey. Data from 416 respondents were analyzed by structural, followed by further test by fsQCA method.

Perceived controllability, perceived responsiveness and perceived mutuality positively influence tie strength, and tie strength promotes consumer engagement behavior. Moreover, we found a configuration effect between interactivity and tie strength and revealed four configurations that can affect high-level engagement behavior.

First, the SEM results show that the three dimensions of perceived interactivity positively impact tie strength: perceived controllability, perceived responsiveness, and perceived mutuality. And perceived personalization has no positive impact on tie strength. Second, the relevant results show that tie strength positively impacts consumer engagement behavior. Third, we find that the relationship between perceived interactivity and consumer engagement behavior may not be asymmetric, so the alternative combination of causal conditions may produce the same results. The fsQCA results revealed four configurations that can affect the level of consumer engagement behavior. And tie strength is the core condition.

This study provides specific solutions for e-retailers and live streaming platforms to promote consumers' participation in engagement behavior in e-commerce live streaming.

This study transforms the linear impact of interactivity on consumer engagement behavior into a configuration effect for the first time, and enriches the live streaming commerce and consumer engagement behavior literature.

This study aims to investigate the relationship between managerial corporate social responsibility (CSR) mindset and business performance in small- and medium-sized enterprises (SMEs), focusing on the mediating role of CSR practices and the moderating influence of institutional forces.

A structured questionnaire was administered to 221 SME managers. The data was analysed using the Hayes process in SPSS to test the hypothesized relationships.

This study found that a managerial CSR mindset significantly improves operational and financial business performance. In addition, CSR practices mediate the relationship between managerial CSR mindset and business performance. Furthermore, institutional forces moderate this relationship, highlighting the critical role of external factors in shaping SME performance.

The findings suggest that SME managers should adopt a proactive managerial CSR mindset and integrate CSR into their core strategies to enhance business performance. Moreover, managers must be responsive to institutional forces as they adjust their strategy to meet external pressures to ensure sustainable performance.

This study demonstrates the theoretical explanation of how CSR practices serve as a conduit through which a managerial CSR mindset improves business performance under varying conditions of institutional forces.

Using social exchange theory, this paper explores the relationship between supervisor perceived organizational support and supervisor developmental feedback. It verifies the mediating role of supervisor felt obligation to organization and the moderating role of supervisor core self-evaluation in this relationship.

A two-wave survey sampling method was applied to collect 247 pieces of paired data (supervisors-new employees) in organizations in China.

The results show that supervisor felt obligation to organization mediates the relationship between supervisor perceived organizational support and supervisor developmental feedback. The findings suggest that a high level of supervisor core self-evaluation strengthens the relationship between supervisor perceived organizational support and supervisor felt obligation to organization and then facilitates supervisor developmental feedback.

This study combines two perspectives, organizational factor and supervisor trait, to reveal the occurrence mechanism of supervisor developmental feedback and complements the research on the influencing factors of supervisor developmental feedback. In addition, it provides some theoretical guidance and practical insights into how organizations can motivate supervisors to provide developmental feedback to new employees.

The purpose of this paper is to establish a dynamic model considering the actual operating conditions of the train and to study the dynamic performance and vibration characteristics of axle box bearings under different operating conditions.

In this paper, based on the internal contact characteristics of double-row tapered roller bearings, a dynamic model considering the actual operating conditions of the train is established. The correctness of the model is verified by the vibration test of the bearing. Comparative analysis was conducted on the effects of axial force, radial force and rotational speed on the angular velocity of the cage, slip rate and vibration acceleration level of the inner ring.

As the force increases, the slip rate of the cages on both sides decreases, and the vibration acceleration level of the inner ring increases. With the increase of rotational speed, the cage slip rate of the axle box bearing increases and the vibration acceleration level of the inner ring increases.

A dynamic model is established considering the actual operating conditions, and the dynamic performance and vibration characteristics of the axle box bearing under different operating conditions are analyzed by numerical method. The research content can provide reference for the parameter design of high-speed railway bearings.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-03-2024-0085/

The diagnosis and prediction methods used for estimating the health conditions of the bearing are of great significance in modern petrochemical industries. This paper aims to discuss the accuracy and stability of improved empirical mode decomposition (EMD) algorithm in bearing fault diagnosis.

This paper adopts the improved adaptive complementary ensemble empirical mode decomposition (ICEEMD) to process the nonlinear and nonstationary signals. Two data sets including a multistage centrifugal fan data set from the laboratory and a motor bearing data set from the Case Western Reserve University are used to perform experiments. Furthermore, the proposed fault diagnosis method, combined with intelligent methods, is evaluated by using two data sets. The proposed method achieved accuracies of 99.62% and 99.17%. Through the experiment of two data, it can be seen that the proposed algorithm has excellent performance in the accuracy and stability of diagnosis.

According to the review papers, as one of the effective decomposition methods to deal with nonlinear nonstationary signals, the method based on EMD has been widely used in bearing fault diagnosis. However, EMD is often used to figure out the nonlinear nonstationarity of fault data, but the traditional EMD is prone to modal confusion, and the white noise in signal reconstruction is difficult to eliminate.

In this paper only the top three optimal intrinsic mode functions (IMFs) are selected, but IMFs with less correlation cannot completely deny their value. Considering the actual working conditions of petrochemical units, the feasibility of this method in compound fault diagnosis needs to be studied.

Different from traditional methods, ICEEMD not only does not need human intervention and setting but also improves the extraction efficiency of feature information. Then, it is combined with a data-driven approach to complete the data preprocessing, and further carries out the fault identification and classification with the optimized convolutional neural network.

This study aims to investigate the impact of spirituality, spiritual experiences, religiosity, efficacy and job engagement among Brazilian university professors, particularly focusing on the implications for social responsibility.

Data were gathered from a nonprobability sample of academics from private and public universities in Brazil during periods of crisis using a standardized survey. The study used partial least squares structural equation modeling as the method for data analysis.

The study identified robust correlations between daily spiritual experiences (DSE), spirituality and job engagement and efficacy. Additionally, an indirect effect of religiosity on these variables was identified, mediated via DSE. Religiosity was found to impact spiritual experiences and spirituality. The results identified a direct influence of spirituality on work vigor and self-efficiency. However, the study revealed no significant indirect relationship between religiosity, job engagement and efficacy when mediated solely through spirituality.

This study is primarily limited by its sampling method and Brazil’s cultural context, potentially affecting the generalizability of the findings. Future research should include a more diverse demographic and extend beyond the Brazilian context to various cultural settings. Despite these limitations, the study provides valuable insights for managers leveraging religiosity, spiritual experiences and spirituality to create a more inclusive workplace. Emphasizing these aspects can help foster an environment that respects and accommodates employees’ diverse religious and spiritual beliefs, enhancing workplace harmony and engagement.

The findings are relevant for university administrations and policymakers. Recognizing the role of spirituality, spiritual experiences and religiosity in academic engagement can guide the development of more supportive, inclusive and socially responsible work environments.

This research underscores the social responsibility of educational institutions to consider and integrate their faculty members’ spiritual and religious dimensions, especially during times of crisis. It highlights how these aspects can significantly influence engagement and efficacy, contributing to a more holistic approach to employee well-being and organizational culture.

This study brings a novel contribution to the dialogue around social responsibility in academia by associating religiosity, spiritual experiences and spirituality with job engagement and effectiveness during a global crisis. It highlights the importance of these personal dimensions in the professional environment, particularly in times of elevated stress and uncertainty.