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This study embraces the call for exploring the determinants of continuous intention in TikTok. Taking the perspective of social influence, this study not only tries to explore the contextual sources of two types of social influence but also aims to unveil the influence mechanism of how social influence affects TikTok viewers’ continuous intention.

This study empirically analyzes how TikToker attractiveness, co-viewer participation, platform reputation and content appeal affect informative and normative social influence and then lead to the continuous intention of TikTok. Based on 547 valid survey data, this study adopts a mixed analytical approach for data analysis by integrating structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA).

SEM results unveil that content appeal is the most critical antecedent of informational social influence, while the TikToker attractiveness and platform reputation have no effect on it. Differently, all four external sources positively lead to normative social influence. Among them, content appeal and co-viewer participation influence the most. The influences of both two types of social influence on continuous intention are demonstrated. FsQCA results reveal seven alternative configurations that are sufficient for influencing continuance intention and further complement and reinforce the SEM findings.

Addressing the critical contextual elements of TikTok, this study explores and confirms the sources which may engender social influence. The authors also demonstrate the critical role of social influence in affecting TikTok viewers’ continuous intentions by the hybrid analytical approach, which contributes to existing academic literature and practitioners.

The assembly simulation in tolerance analysis is one of the most important steps for the tolerance design of mechanical products. However, most assembly simulation methods are based on the rigid body assumption, and those assembly simulation methods considering deformation have a poor efficiency. This paper aims to propose a novel efficient and precise tolerance analysis method based on stable contact to improve the efficiency and reliability of assembly deformation simulation.

The proposed method comprehensively considers the initial rigid assembly state, the assembly deformation and the stability examination of assembly simulation to improve the reliability of tolerance analysis results. The assembly deformation of mating surfaces was first calculated based on the boundary element method with optimal initial assembly state, then the stability of assembly simulation results was assessed by the density-based spatial clustering of applications with noise algorithm to improve the reliability of tolerance analysis. Finally, combining the small displacement torsor theory, the tolerance scheme was statistically analyzed based on sufficient samples.

A case study of a guide rail model demonstrated the efficiency and effectiveness of the proposed method.

The present study only considered the form error when generating the skin model shape, and the waviness and the roughness of the matching surface were not considered.

To the best of the authors’ knowledge, the proposed method is original in the assembly simulation considering stable contact, which can effectively ensure the reliability of the assembly simulation while taking into account the computational efficiency.

The social media expands the scope of museum marketing. Through the social media marketing, visitors get a rich and colorful visual experience, and the museum can quickly and effectively convey various information to visitors. At present, the research on social media in the museum industry mainly focuses on the level of technology use, while the research on the marketing application of social media is relatively scarce, especially from the empirical perspective. This study constructs a conceptual model to identify the impact of SMMAs on visitor experience in the context of the museum industry through the empirical analysis.

A survey is conducted with a total of 538 visitors who follow the fan page of the Palace Museum Weibo. The collected data are analyzed via structural equation modeling.

The results show that SMMAs have significant effects on social presence and social support, which in turn significantly affect flow state. Moreover, the results demonstrate that social presence and social support partially mediates the relationships between SMMAs and flow state.

The contribution of this study is twofold. First, from a theoretical perspective, it offers new insights into the conceptualization of social media marketing. Second, from a pragmatic perspective, the results are helpful to guide museums how to carry out social media marketing activities.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2020-0564

Given the high uncertainty in the quality perception of experiential products, manufacturers use signals to influence consumers’ decisions. In the movie industry, literature shows that performance of the main channel (e.g. cinema) strongly influences the performance of auxiliary channels (e.g. DVDs). The success of a movie in the home country is also to be resonated by its good performance in host countries. However, the cultural contingency of these success-breeds-success (SBS) effects has not been examined. This paper aims to test the influence of cultural values on the SBS effects across channels and countries.

Borrowing concepts from the signaling literature and analyzing DVD sales data from six international markets using a multilevel mixed-effects model, the study finds that culture plays a significant role to influence both SBS effects.

In countries with low power distance, short-term orientation and high indulgence, consumers who purchase from auxiliary channels are more likely to be influenced by the box office performance of movies. Meanwhile, cultural distance between the home and host nations significantly decreases the cross-national SBS effect.

The findings are likely to be generalized to online auxiliary channels of movies, but empirical testing is required to ensure that no major adaptation is required in the process. Future research can also extend the framework of this paper to include more countries into the analysis and investigate cultural variables beyond Hofstede’s dimensions.

This paper suggests that the SBS effects may vary across nations. When managers plan for the sequential distributions of experiential products, the cultural values of target markets should be considered to decrease the uncertainty in sales prediction.

This paper contributes to the existing literature by investigating the international auxiliary channels of movies and incorporating cultural values into the framework of sequential distributions. To the best of the authors’ knowledge, this study is the first to test the links between the main and auxiliary channels from an international marketing perspective.

This study aims to clarify the evolution law of stress field and fracture field during the mining process of inclined coal seam, to prevent the occurrence of roof burst water and impact ground pressure accident during the advancing process of working face.

The evolution law of stress-fracture field under different mining conditions of inclined coal seam was studied by using discrete element method and similar material simulation method.

The overburden stress at the lower end of the coal seam was mainly transmitted to the deep rock mass on the left side, and the overburden stress at the upper end was mainly transmitted to the floor direction. With the increase of the inclined length of the mining coal seam, the development of the fracture zone gradually evolves from the “irregular arch” form to the “transversely developed trapezoid” form. The development range of the fracture zone was always in the internal area of the stress concentration shell.

An original element of this paper is based on the condition that the dip angle of coal seam is 35°, and the evolution law of overburden stress-fracture field during the excavation of coal seam with different lengths was analyzed by UDEC numerical simulation software. The coupling relationship between stress shell and fracture field was proposed, and the development range of fracture zone was determined by stress. The value of this paper is to provide technical support and practical basis for the safety production of a mine working face.

Owing to the uneven distribution of annotated corpus among different languages, it is necessary to bridge the gap between low resource languages and high resource languages. From the perspective of entity relation extraction, this paper aims to extend the knowledge acquisition task from a single language context to a cross-lingual context, and to improve the relation extraction performance for low resource languages.

This paper proposes a cross-lingual adversarial relation extraction (CLARE) framework, which decomposes cross-lingual relation extraction into parallel corpus acquisition and adversarial adaptation relation extraction. Based on the proposed framework, this paper conducts extensive experiments in two tasks, i.e. the English-to-Chinese and the English-to-Arabic cross-lingual entity relation extraction.

The Macro-F1 values of the optimal models in the two tasks are 0.880 1 and 0.789 9, respectively, indicating that the proposed CLARE framework for CLARE can significantly improve the effect of low resource language entity relation extraction. The experimental results suggest that the proposed framework can effectively transfer the corpus as well as the annotated tags from English to Chinese and Arabic. This study reveals that the proposed approach is less human labour intensive and more effective in the cross-lingual entity relation extraction than the manual method. It shows that this approach has high generalizability among different languages.

The research results are of great significance for improving the performance of the cross-lingual knowledge acquisition. The cross-lingual transfer may greatly reduce the time and cost of the manual construction of the multi-lingual corpus. It sheds light on the knowledge acquisition and organization from the unstructured text in the era of big data.

With the trend toward implementing flexible strategies to channel management, the network sources of flexibility have received increased attention. This study aims to reveal the dynamic mechanisms underlying the relationship between a distribution network and two types of flexibility: adaptive and proactive.

The authors apply agent-based modeling to simulate a three-level distribution network. First, a program of 14 segmentations across 4 stages is developed using NetLogo software. Using data on Company X’s distribution network, the authors simulate a distribution network when either adaptive or proactive flexibility is implemented and compare the performance outcomes of the distribution network. Finally, by using the database generated from an experiment designed with BehaviorSpace, the authors conduct a general linear regression analysis to analyze the effect of network structure on the performance of the distribution network.

The authors find that the implementation of adaptive flexibility is connected with a higher level of trust and a lower level of inventory, whereas the implementation of proactive flexibility is associated with a higher level of satisfaction but a higher level of inventory. Also, this study’s analyses show that adaptive flexibility emphasizes short-term efficiency, whereas proactive flexibility put more emphasis on long-term effectiveness. In addition, the authors find that network structure has a significant effect on the distribution network by influencing inventory, satisfaction and trust.

Theoretically, this study’s results further develop the research on channel management by revealing the interaction between distribution networks and two types of flexibility from a dynamic (rather than static) perspective. Also, the findings help in explaining how network structure can affect the performance of a distribution network. In practice, the results also guide the focal firm in distribution channels to make strategic decisions between adaptive and proactive flexibility to improve channel performance.

Although both sports and cities have transformed over the last century, research on the intersection of sports and urban development remains scarce. This special issue was designed to advance a research agenda in relation to sports and urban development. The sports and urban development special issue of International Journal of Sport Marketing and Sponsorship brings together a collection of conceptual, empirical and commentary papers from four continents. Themes explored in this special issue include legacy, governance, image, climate change and sustainability. We encourage collaborative approaches between sport researchers and those with a focus on urban development, urban design and urban governance. Understanding the role of sports in the development of smart cities is an excellent opportunity for these collaborations to occur.

A comprehensive review of literature was undertaken to assess the literature related to sports and urban development.

In addition to this introductory article, there are ten manuscripts selected for this special issue investigating sports and urban development.

This special issue seeks to promote more research on sports and urban development, ultimately ultimately advancing theories and providing solutions.

Despite the critical role of the policy environment in facilitating the advancement of building information modeling (BIM) as a systemic innovation to reshape traditional facility design, construction and operation processes, scant scholarly attention has been paid to systematically investigating how and why complex BIM policies are concretely and gradually implemented in different regional contexts from a dynamic policy diffusion perspective. This study aims to empirically investigate how different types of BIM policy instruments are dynamically implemented in heterogeneous regions over time and how the diffusion of BIM policies across different regions is comprehensively impacted by both internal efficiency needs and external legitimacy pressures.

This study employed a positivist research paradigm in which BIM policy data from 182 prefecture-level and above cities in China during 2011–2022 were analyzed with quantitative approaches for theory verification. Based on the content analysis of the evolutionary characteristics of the adopted BIM policy instruments in heterogeneous regions over time, the event history analysis (EHA) method was then used to further examine the mechanisms underlying the diffusion of BIM policies across different regions.

The content analysis results show that while environmental instruments (such as technological integration and goal planning) are the primary policy instruments currently adopted in China, recent years have also witnessed increasing adoptions of supply-side instruments (such as fiscal support and information support) and demand-side instruments (such as demonstration projects and tax incentives). After controlling for the impacts of regional fiscal and technical resources, the EHA results illustrate that BIM policy adoption positively relates to regional construction industry scale but negatively relates to regional industry productivity and that compared with public pressures from industry participants, vertical pressures from the central government and horizontal pressures from neighboring regions are more substantial drivers for policy adoption.

As an exploratory effort of using a dynamic policy diffusion perspective to systematically investigate how BIM policies are adopted in heterogeneous regional contexts to facilitate BIM advancement, this study not only characterizes the complexity and dynamics of BIM policies but also provides deepened understandings of the mechanisms underlying policy adoption in the conservative construction industry. The findings hold implications for how multifarious policy instruments can be more effectively and dynamically adopted to facilitate the advancement of BIM and related technologies as innovative solutions in the construction domain.