Meiyu Liu, Haiyan Li, Chengyou Li and Zhaojun Yan
The main purpose of this paper is to explore the impact of digital transformation on enterprises' performance considering financing constraints in the capital market to explore…
Abstract
Purpose
The main purpose of this paper is to explore the impact of digital transformation on enterprises' performance considering financing constraints in the capital market to explore whether digital transformation improves enterprises' performance through the financing constraints channel.
Design/methodology/approach
This study, using a panel data set of 14,669 observations of 2,858 non-financial enterprises that issued A shares on the Shanghai and Shenzhen stock exchanges from 2013 to 2019, theoretically and empirically tests the impact and mechanism of digital transformation on enterprise performance.
Findings
Digital transformation has a significant positive effect on enterprise performance; this conclusion remains the same after the robustness test and endogeneity problems are dealt with. Financing constraints play a mediation role between digital transformation and enterprise innovation. The effect of digital transformation on enterprise performance varies significantly by size, ownership and industry.
Originality/value
The theoretical contributions of this study not only enrich the literature on the economic benefits and mechanism of digital transformation but also expand the literature on the factors that influence enterprise performance. The practical contribution of this study is the reference that it provides for implementing decisions about enterprise digital transformation and formulating differentiated policies for government digital transformation.
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Zhaojun Han, Baofeng Huo and Xiande Zhao
The purpose of this study is to explore the effect of backward supply chain information sharing (SCIS) on the performance of different parties along supply chains.
Abstract
Purpose
The purpose of this study is to explore the effect of backward supply chain information sharing (SCIS) on the performance of different parties along supply chains.
Design/methodology/approach
Using data collected from 617 Chinese manufacturers, this study examines the effect of information sharing from manufacturers to suppliers (ISMS) on supplier and manufacturer responsiveness in both two- and three-tier supply chains and the transferrable effect of information sharing from customers to manufacturers (ISCM) on supplier responsiveness. The authors use structural equation modeling and regression analysis to estimate the proposed relationships.
Findings
ISMS is positively related to supplier responsiveness in both two- and three-tier SCIS, whereas its effect on manufacturer responsiveness is conditional, indicating that upstream receiving parties benefit more from backward SCIS. ISCM is positively related to supplier responsiveness, demonstrating the transferable effect of backward SCIS.
Practical implications
When designing SCIS strategies, managers should take into account the unequal distribution of benefits from SCIS and the transferable effect of backward SCIS. Specifically, companies should always motivate their downstream partners to engage in SCIS, while they themselves need to be cautious with information sharing. They should also be aware that their information sharing behavior may benefit a third upstream party.
Originality/value
This study provides deep insights into the distribution of the benefits from SCIS among supply chain partners and suggests that the direction and the role supply chain partners play (as receiving or disclosing parties) in SCIS matter.
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Qianling Jiang, Jue Qian and Yong Zang
In today’s world, there’s a growing recognition of the importance of cultural heritage. Mobile games have emerged as a powerful medium for the dissemination of culture. However…
Abstract
Purpose
In today’s world, there’s a growing recognition of the importance of cultural heritage. Mobile games have emerged as a powerful medium for the dissemination of culture. However, there’s a noticeable gap in the existing research concerning the cultural experiences within games and how they contribute to the development of cultural identity. This study addresses this gap by developing a scale to evaluate cultural experiences and constructing a theoretical model of cultural identity. By focusing on the popular mobile game “王者荣耀” (King of Glory), we highlight its rich representation of intangible cultural heritage elements and its influence on players' cultural identity. By doing so, it seeks to provide valuable insights and guidance for the development and design of mobile games.
Design/methodology/approach
To achieve its objectives, this study employs a combination of user interviews, factor analysis and structural equation modeling. These methods are used to identify four key dimensions of cultural experience and explore the intricate relationships between various influencing factors and the formation of cultural identity.
Findings
The concept of cultural experience within games encompasses four distinct facets: emotional connection, design aesthetics, perceived playfulness and knowledge acquisition. Aesthetic appreciation notably influences emotional connection and the overall enjoyment of the game. Furthermore, emotional connection plays a pivotal role in facilitating users' acquisition of knowledge. Additionally, users' cultural heritage values positively impact emotional connection, aesthetic appreciation, emotional attachment and, ultimately, their cultural identity. Within game-based cultural experiences, emotional connection and knowledge acquisition emerge as central elements that significantly influence users' sense of cultural identity.
Originality/value
The originality of this study lies in its pioneering construction of a comprehensive framework for assessing the impact of cultural experiences within mobile games on cultural identity. By examining “王者荣耀,” this study bridges the gap between intangible cultural heritage and interactive digital media, making an original and significant contribution to both fields.
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Wenqi Mao, Kexin Ran, Ting-Kwei Wang, Anyuan Yu, Hongyue Lv and Jieh-Haur Chen
Although extensive research has been conducted on precast production, irregular component loading constraints have received little attention, resulting in limitations for…
Abstract
Purpose
Although extensive research has been conducted on precast production, irregular component loading constraints have received little attention, resulting in limitations for transportation cost optimization. Traditional irregular component loading methods are based on past performance, which frequently wastes vehicle space. Additionally, real-time road conditions, precast component assembly times, and delivery vehicle waiting times due to equipment constraints at the construction site affect transportation time and overall transportation costs. Therefore, this paper aims to provide an optimization model for Just-In-Time (JIT) delivery of precast components considering 3D loading constraints, real-time road conditions and assembly time.
Design/methodology/approach
In order to propose a JIT (just-in-time) delivery optimization model, the effects of the sizes of irregular precast components, the assembly time, and the loading methods are considered in the 3D loading constraint model. In addition, for JIT delivery, incorporating real-time road conditions in the transportation process is essential to mitigate delays in the delivery of precast components. The 3D precast component loading problem is solved by using a hybrid genetic algorithm which mixes the genetic algorithm and the simulated annealing algorithm.
Findings
A real case study was used to validate the JIT delivery optimization model. The results indicated this study contributes to the optimization of strategies for loading irregular precast components and the reduction of transportation costs by 5.38%.
Originality/value
This study establishes a JIT delivery optimization model with the aim of reducing transportation costs by considering 3D loading constraints, real-time road conditions and assembly time. The irregular precast component is simplified into 3D bounding box and loaded with three-space division heuristic packing algorithm. In addition, the hybrid algorithm mixing the genetic algorithm and the simulated annealing algorithm is to solve the 3D container loading problem, which provides both global search capability and the ability to perform local searching. The JIT delivery optimization model can provide decision-makers with a more comprehensive and economical strategy for loading and transporting irregular precast components.