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1 – 4 of 4Wenyan Yu, Yiping Jiang and Tingting Fu
This study holistically and systematically consolidates the available research on digital reading to reveal the research trends of the past 20 years. Moreover, it explores the…
Abstract
Purpose
This study holistically and systematically consolidates the available research on digital reading to reveal the research trends of the past 20 years. Moreover, it explores the thematic evolution, hotspots and developmental characteristics of digital reading. This study, therefore, has the potential to serve as a research guide to researchers and educators in relevant fields.
Design/methodology/approach
The authors applied a bibliometric approach using Derwent Data Analyzer and VOSviewer to retrieve 2,456 publications for 2003–2022 from the Web of Science (WoS) database.
Findings
The results revealed that most studies' participants were university students and the experimental methods and questionnaires were preferred in digital reading researches. Among the influential countries or regions, institutions, journals and authors, the United States of America, University of London, Electronic Library and Chen, respectively, accounted for the greatest number of publications. Moreover, the authors identified the developmental characteristics and research trends in the field of digital reading by analyzing the evolution of keywords from 2003–2017 to 2018–2022 and the most frequently cited papers by year. “E-books,” “reading comprehension” and “literacy” were the primary research topics. In addition, “attention,” “motivation,” “cognitive load,” “dyslexia,” “engagement,” “eye-tracking,” “eye movement,” “systematic analysis,” “meta-analysis,” “smartphone” and “mobile reading/learning” were potential new research hotspots.
Originality/value
This study provides valuable insights into the current status, research direction, thematic evolution and developmental characteristics in the field of digital reading. Therefore, it has implications for publishers, researchers, librarians, educators and teachers in the digital reading field.
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Wei Zhou, Xiaofei Pan and Yiping Wu
We examine the effectiveness of signaling by disclosing innovation in annual reports in terms of securing R&D subsidies, using a novel text-based measure of firm-level innovation…
Abstract
Purpose
We examine the effectiveness of signaling by disclosing innovation in annual reports in terms of securing R&D subsidies, using a novel text-based measure of firm-level innovation intensity.
Design/methodology/approach
The empirical analysis includes regressions with firm and year-fixed effects and an instrumental variable approach. Both mediation and moderation analysis are conducted to identify the plausible channels.
Findings
We find that firms are likely to receive research and development (R&D) subsidies if their annual reports contain intensive disclosure of information about innovation. We also identify the site visits by government officials as a plausible channel through which innovation disclosure in annual reports can help firms receive R&D subsidies. Additional analysis shows the main effect of innovation disclosure is especially pronounced in firms with severe information asymmetry and those facing a low-trust environment.
Originality/value
Current studies have shown the effectiveness of signaling in capital markets in terms of securing bank loans and venture capital (Cassar et al., 2015; Hoenig and Henkel, 2015; Connelly et al., 2016; Plummer et al., 2016). It is unclear if such a signaling can attract the attention of government officials. Our results suggest that government officials view annual reports as an important means of mitigating information asymmetry, which in turn helps firms to receive external R&D funding.
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Yiping Jiang, Shanshan Zhou, Jie Chu, Xiaoling Fu and Junyi Lin
This paper aims to explore blockchain integration strategies within a three-level livestock meat supply chain in which consumers have a preference for quality trust in livestock…
Abstract
Purpose
This paper aims to explore blockchain integration strategies within a three-level livestock meat supply chain in which consumers have a preference for quality trust in livestock meat products. The paper investigates three questions: First, how does consumers’ preference for quality trust affect blockchain integration and transaction decisions among supply chain participants? Second, under what circumstances will retailers choose to participate in the blockchain? Finally, how can other factors such as blockchain costs and supplier–retailer partnership value affect integration decisions?
Design/methodology/approach
This paper formulates a supply chain network equilibrium model and employs the logarithmic-quadratic proximal prediction-correction method to obtain equilibrium decisions. Extensive numerical studies are conducted using a pork supply chain network to analyze the implications of blockchain integration for different supply chain participants.
Findings
The results reveal several key insights: First, suppliers’ increased blockchain integration, driven by higher quality trust preference, can negatively affect their profits, particularly, with excessive trust preferences and high blockchain costs. Second, an increase in consumers’ preference for quality trust expands the range of unit operating costs for retailers engaging in blockchain. Finally, the supplier–retailer partnership drives retailer blockchain participation, facilitating enhanced information sharing to benefit the entire supply chain.
Originality/value
This study provides original insights into blockchain integration strategies in an agricultural supply chain through the application of the supply chain network equilibrium model. The investigation of several key factors on equilibrium decisions provides important managerial implications for different supply chain participants to address consumers’ preference for quality trust and enhance overall supply chain performance.
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Liangbin Chen, Lihong Zhao, Keren Ding, Kaibo Xu and Xianzhe Tang
This study aims to optimize the preparation conditions and modify the nanofiltration (NF) membranes to prepare high-performance polysulfone/sulfonated polysulfone composite…
Abstract
Purpose
This study aims to optimize the preparation conditions and modify the nanofiltration (NF) membranes to prepare high-performance polysulfone/sulfonated polysulfone composite nanofiltration (PSF/SPSF-NF) membranes through interfacial polymerization.
Design/methodology/approach
Investigating the impacts of anhydrous piperazine (PIP) concentration, trimesoyl chloride (TMC) concentration and basement membrane type on NF membrane performance, the optimal membrane was prepared. In addition, nano-SiO2 was added to the active separation layer to modify the NF membranes.
Findings
The comprehensive performance of PSF/SPSF-NF membranes was optimized when the concentration of PIP was 0.75 Wt.% and the concentration of TMC was 0.15 Wt.%, at which time the water flux was 66.1 L·m−2·h−1 and the retention rate of Na2SO4 was 98.1%. The comprehensive performance of polysulfone/sulfonated polysulfone-SiO2 nanofiltration (PSF/SPSF-SiO2-NF) membranes was optimized when the blending ratio of nano-SiO2 to PIP was 2:3, with a pure water flux of 81.9 L·m−2·h−1 and a Na2SO4 retention rate of 95.9%. Compared to polysulfone nanofiltration (PSF-NF) membranes and PSF/SPSF-NF membranes, NF membranes with nano-SiO2 increased the flux recovery rate by 22.9% and 8.7%.
Practical implications
PSF/SPSF-SiO2-NF membrane exhibits excellent antifouling properties.
Originality/value
There is currently no literature available on the preparation of NF membranes using polysulfone/sulfonated polysulfone (PSF/SPFS) as a substrate. This provides a method for modifying NF membranes, starting with the modification of the basement membrane and then modifying the active separation layer.
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