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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.

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.

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.

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.

Surface acoustic wave (SAW) sensors have attracted great attention worldwide for a variety of applications in measuring physical, chemical and biological parameters. However, stability has been one of the key issues which have limited their effective commercial applications. To fully understand this challenge of operation stability, this paper aims to systematically review mechanisms, stability issues and future challenges of SAW sensors for various applications.

This review paper starts with different types of SAWs, advantages and disadvantages of different types of SAW sensors and then the stability issues of SAW sensors. Subsequently, recent efforts made by researchers for improving working stability of SAW sensors are reviewed. Finally, it discusses the existing challenges and future prospects of SAW sensors in the rapidly growing Internet of Things-enabled application market.

A large number of scientific articles related to SAW technologies were found, and a number of opportunities for future researchers were identified. Over the past 20 years, SAW-related research has gained a growing interest of researchers. SAW sensors have attracted more and more researchers worldwide over the years, but the research topics of SAW sensor stability only own an extremely poor percentage in the total researc topics of SAWs or SAW sensors.

Although SAW sensors have been attracting researchers worldwide for decades, researchers mainly focused on the new materials and design strategies for SAW sensors to achieve good sensitivity and selectivity, and little work can be found on the stability issues of SAW sensors, which are so important for SAW sensor industries and one of the key factors to be mature products. Therefore, this paper systematically reviewed the SAW sensors from their fundamental mechanisms to stability issues and indicated their future challenges for various applications.

Grey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.

Based on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.

The results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.

By analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.

The authors provide firm-level evidence that external financing affects international trade in a way different from internal financing.

The authors separate new entrants from incumbent exporters and investigate the roles of external and internal financing in export market participation and export quantity.

The authors find that external financing is of particular importance, as well as internal financing, in helping a firm become a new exporter. By contrast, external financing, unlike internal financing, is not significantly important for an incumbent exporter to stay in the international market. Regarding export quantity, a firm's internal financing is positively associated with more export quantity, whereas external financing is not.

The authors’ findings are consistent with the existence of significant fixed cost for entering the export market and external financing is particularly needed to cover such cost. Meanwhile, the financial need for maintaining the export status is much less and can be satisfied via internal financing.

Previous research tends to study various sustainable management practices (SMPs) in isolation, leading to inconsistent conclusions about the effect of SMP on firm profit. This research aims to advance the understanding of the linkage between SMP configurations and financial performance by revealing the dynamics of substitutions and complementarities among these SMPs.

The authors conducted an exploratory study based on the theoretical lens of the practice-based view (PBV). An integrated text-mining approach is used in gathering data from 302 corporate reports of cross-sectional firms, followed by a fuzzy-set qualitative comparative analysis method to examine the configurations of SMPs in achieving high and low financial performance.

The findings show that green innovation practices (GIP) and cleaner production practices work together as complements for small firms in configurations associated with high profits. However, large companies in high-competition industries often adopt a minimalist configuration focusing on product quality and safety management (PQSM). PQSM and GIP are complements in configuration for small firms in high-competition industries, while they work together as substitutes for small firms in low-competition industries.

This research provides managers with a new way of thinking to support decision-making in sustainable operations management. The complementary and substitutive view of management practice can guide operations managers to design and implement effective practice configurations to achieve synergistic effects.

This is among the first studies to reveal the complex relationship between various configurations of SMPs and firm performance. In addition, this research offers new insights into previously inconsistent findings from a PBV and configuration perspective.

Yi Jing is one of the most archaic works among the Chinese classics. Various schools of thought developed their philosophies from the philosophical perspectives in this book and its influence is wide ranging and far reaching. This paper attempts to show how leaders can approach the Yi Jing beneficially by identifying the principles, values and virtues in each of the 64 scenarios, deriving insights about change and leadership. It also aims to show how the Yi Jing compares with Western management literature.

This paper provides an analysis of Qian Gua of Yi Jing as an example of how leaders can draw insights from Yi Jing about change and leadership.

Qian Gua, which is the first scenario in the Yi Jing, offers us powerful insights about change and leadership by offering: a framework of understanding change and human enterprises, considering the aspects of beginning, process, benefit and sustainability; a framework to understand the leadership development process; and leadership principles of conscientious self‐cultivation, transformational leadership through virtues and riding the tides of change.

A change and leadership model inspired by the Yi Jing should interest business leaders both in the east and the west, and help Westerners gain success in doing business in China or collaborating with the Chinese on a joint venture.

This is the first paper to draw insights about change and leadership through an analysis of Qian Gua of Yi Jing.

The main purpose of this research is to construct a generalized set of innovation processes that occur at the ecosystem level based on the academic research. The study analyzes the cultural and creativity-driven over-the-top (OTT) platform that encompasses diverse network of ecosystem members by utilizing the four cooperation practices.

This study begins with the literature review that discusses various topics related to ecosystem (e.g. service innovation, innovative ecosystem). Then, this study introduces a new conceptual framework that describes how cooperations occur in the ecosystem. Finally, a qualitative and explorative case study of the OTT platforms in the global context is conducted.

The application of the framework reveals how co-innovative business ecosystems demonstrate co-evolution through different structures and directions. An ecosystem can evolve by incorporating other industries (i.e. horizontal growth or broadening strategy) to deepen and broaden the industry integration.

As an explorative approach that opens the discussion on how co-innovation and co-evolution occur at the ecosystem level, particularly in the culture and creativity-driven industry, the value of this research extends to other similar industries where diverse actors such as technology firms, Internet firms, direct consumers, government and even the society impact the type of product and service and shape the evolution of the entire ecosystem.

Despite Schau et al.’s (2009) pioneering research addressing consumers’ community engagement practices, scholarly understanding of the nature and dynamics characterizing consumers’ engagement practices in virtual (online) brand communities, and their inter-relationships, is limited to date. Building on these authors’ study, this paper aims to develop a refined typology and process model of virtual brand community engagement practices (VBCEPs).

Using the netnographic methodology, the authors analyze 20 luxury handbag community members’ entries posted on the brand’s particular section of The Purse Forum.

The authors develop an eight-component VBCEP typology that refines Schau et al.’s (2009) four-component model of brand community engagement practices. The model comprises “greeting”, “regulating”, “assisting”, “celebrating”, “appreciating”, “empathizing”, “mingling” and “ranking”. These practices contribute to and maintain the community’s vision and identity, and strengthen shared community consciousness.

A key limitation of this research lies in its findings being generated from a single, luxury virtual brand community. Future research may thus wish to validate the VBCEP typology and model across different contexts.

The authors provide strategic managerial recommendations designed to leverage virtual brand community performance, which center predominantly on the social (altruistic) and achievement-based VBCEP sub-processes.

The eight-component VBCEP typology refines Schau et al.’s four-component model of brand community engagement practices with particular applicability to virtual brand communities.

This study aims to investigate the effects of irregular groove textures on the friction and wear performance of sliding contact surfaces. These textures possess multiple depths and asymmetrical features. To optimize the irregular groove texture structure of the sliding contact surface, an adaptive genetic algorithm was used for research and optimization purposes.

Using adaptive genetic algorithm as an optimization tool, numerical simulations were conducted on surface textures by establishing a dimensionless form of the Reynolds equation and setting appropriate boundary conditions. An adaptive genetic algorithm program in MATLAB was established. Genetic iterative methods were used to calculate the optimal texture structure. Genetic individuals were selected through fitness comparison. The depth of the groove texture is gradually adjusted through genetic crossover, mutation, and mutation operations. The optimal groove structure was ultimately obtained by comparing the bearing capacity and pressure of different generations of micro-convex bodies.

After about 100 generations of iteration, the distribution of grooved textures became relatively stable, and after about 320 generations, the depth and distribution of groove textures reached their optimal structure. At this stage, irregular texture structures can support more loads by forming oil films. Compared with regular textures, the friction coefficient of irregular textures decreased by nearly 47.01%, while the carrying capacity of lubricating oil films increased by 54.57%. The research results show that irregular texture structures have better lubrication characteristics and can effectively improve the friction performance of component surfaces.

Surface textures can enhance the friction and lubrication performance of metal surfaces, improving the mechanical performance and lifespan of components. However, surface texture processing is challenging, as it often requires multiple experimental comparisons to determine the optimal texture structure, resulting in high trial-and-error costs. By using an adaptive genetic algorithm as an optimization tool, the optimal surface groove structure can be obtained through simulation and modeling, effectively saving costs in the process.