Currently, the cognitive synergy between artificial intelligence and human editors will become an important direction to promote the development of scientific and technical journals. The purpose of this paper is to illustrate the evolutionary game dynamics between multiple stakeholders in the intelligent transformation of the publishing industry, reveal the behavioural rationality and strategic decisions of each participant, and explore the optimal coping strategies under the interaction between AI technology and human resources. In order to deeply study the dynamic interaction between technology and human resources under the framework of co-construction of AI and science and technology journals, we divided the relationship between each stakeholder. We established a game relationship model, taking the government and ethical regulators, the editorial boards of scientific and technical journals, and research groups as game participants. Then, we addressed the stabilisation strategy problem and examined the strategic choice dilemmas faced by these three parties. We identified four stabilisation points and studied the evolutionary game through four stages of technology, early stage, development phase, surge phase and maturity phase respectively. Based on the results of the game analysis, the coping strategies of gradient adaptation of technology embedding and business process, capacity cultivation of human capital and organisational development, value reconstruction of academic ecology and scientific research culture, precise insight of user needs and cognitive behaviours, and globalisation and regional differences are proposed from the perspectives of governmental and ethical regulators, editorial boards of science and technology journals, and scientific research groups, respectively. The human-machine collaborative editing model, by integrating human creativity and the efficient processing capability of AI, will achieve a double rise in quality and efficiency in the fields of content review, intelligent proofreading, editing and processing, precise pushing, and knowledge dissemination.

Taking the digital publishing industry as its research object and employs the fuzzy-set qualitative comparative analysis (fsQCA) method to systematically examine the causal relationships among the Instrument Mix, regional conditions, and industrial performance, drawing on policy texts and development data from 16 major Chinese provinces. The findings indicate that neither a single Policy instrument nor an isolated regional condition is sufficient to sustain high-quality development; rather, industry success depends on specific configurations of multiple interacting conditions. Content application and scenario promotion, together with industry chain shaping and cluster development, form the core elements of multiple high-performance pathways. In contrast, fiscal and financial instruments play a relatively peripheral role, confirming both synergistic and substitutive relationships among Policy instruments. Further path analysis reveals three distinct realization logic in the digital publishing industry: (1) a regional environment-driven model relying on economic and cultural endowments; (2) a policy-economy dual-drive model characterized by joint government-market action; and (3) a systemic synergy model where multiple factors interact comprehensively. In contrast, non-high-performing configurations demonstrate causal asymmetry, indicating that industrial underperformance is not a simple inversion of success but rather the result of compensatory interactions among regional conditions.

We respond to Zhang's (2026) commentary on our study concerning the 170-year evolution of psychologists' personality portraits (Xu et al., 2026). We acknowledge the effects of the growth of the publishing industry on the composition of the corpus and its linguistic limitations. Furthermore, we discuss how large language models offer a promising avenue for comparing public professional images with actual personality traits. Regarding the rise of therapists, we clarify that the observed increase in openness is likely not a direct consequence of this trend, as agreeableness and extraversion remained stable post-World War II. Separately, while this is an intriguing possibility, how the increasing presence of female psychologists may shape the profession's image remains a question for future inquiry, which we hope will stimulate further discussion in the field. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

This article uses material from two archives pertaining to Australian independent publisher McPhee Gribble to argue that social capital is as important to a small press as economic or cultural capital. Such independent publishers pursue forms of capital other than economic capital. Yet the particular importance of Pierre Bourdieu’s social capital to small presses has been more difficult to demonstrate than symbolic capital more broadly. This research positions the parties thrown in McPhee Gribble's warehouse, documented in the archives through photographs, guest lists, and planning memos, as the publisher’s mechanism and site for the accrual of social capital, and its simultaneous conversion into capital's different forms. This archival material establishes a framework to understand a pervasive feature of the publishing industry that has gone understudied, with such parties often appearing to exist outside the primary business activities of a press.

The International Society of Managing and Technical Editors (ISMTE) serves a unique niche within the academic, scientific, medical, technical, and professional publishing industry—editorial office staff. Through ISMTE’s newsletter, discussion forum, online resources, and meetings, ISMTE connects you with others in the profession. ISMTE provides networking and training infrastructure, establishes best practices, and studies and reports on editorial office practices. ISMTE connects, educates, and provides resources for professionals who are passionate about the operations of peer-reviewed publications.

The International Society of Managing and Technical Editors (ISMTE) serves a unique niche within the academic, scientific, medical, technical, and professional publishing industry—editorial office staff. Through ISMTE’s newsletter, discussion forum, online resources, and meetings, ISMTE connects you with others in the profession. ISMTE provides networking and training infrastructure, establishes best practices, and studies and reports on editorial office practices. ISMTE connects, educates, and provides resources for professionals who are passionate about the operations of peer-reviewed publications.

The International Society of Managing and Technical Editors (ISMTE) serves a unique niche within the academic, scientific, medical, technical, and professional publishing industry—editorial office staff. Through ISMTE’s newsletter, discussion forum, online resources, and meetings, ISMTE connects you with others in the profession. ISMTE provides networking and training infrastructure, establishes best practices, and studies and reports on editorial office practices. ISMTE connects, educates, and provides resources for professionals who are passionate about the operations of peer-reviewed publications.

The International Society of Managing and Technical Editors (ISMTE) serves a unique niche within the academic, scientific, medical, technical, and professional publishing industry—editorial office staff. Through ISMTE’s newsletter, discussion forum, online resources, and meetings, ISMTE connects you with others in the profession. ISMTE provides networking and training infrastructure, establishes best practices, and studies and reports on editorial office practices. ISMTE connects, educates, and provides resources for professionals who are passionate about the operations of peer-reviewed publications.

The International Society of Managing and Technical Editors (ISMTE) serves a unique niche within the academic, scientific, medical, technical, and professional publishing industry—editorial office staff. Through ISMTE’s newsletter, discussion forum, online resources, and meetings, ISMTE connects you with others in the profession. ISMTE provides networking and training infrastructure, establishes best practices, and studies and reports on editorial office practices. ISMTE connects, educates, and provides resources for professionals who are passionate about the operations of peer-reviewed publications.

In the context of the emerging era of digital intelligence, the high-quality development and transformation of the publishing industry depend not only on digital technological innovation but also on the central role of data. As a critical factor of production, data plays an indispensable role in promoting the transformation of the publishing industry toward a data-driven paradigm. Within this context, publishing forms are gradually evolving from traditional print-based publishing to data-centered data publishing. This transformation enables the publishing industry to achieve multidimensional improvements in the process of digital development. Based on the contemporary technological and social context, this paper examines the current status of the publishing industry’s transition toward data-driven development, analyzes the problems encountered in the transformation of publishing business models, and proposes policy recommendations and strategic pathways for the future development of data publishing. Based on literature analysis and an examination of industry practices, this paper analyzes the current status, identifies key obstacles including technological bottlenecks, copyright dilemmas, and international expansion challenges, and proposes development pathways such as building a new data circulation ecosystem, establishing a compliance governance system, and reshaping narrative systems to promote international markets.

The publishing industry in modern China experienced a period of vigorous growth, accompanied by the proliferation of literary periodicals. These periodicals played a pivotal role in advancing the localization of science fiction in China through their active engagement in translating foreign science fiction works. This study conducts a systematic review of the translation and introduction practices of science fiction by major modern Chinese literary periodicals, namely Short Story Magazine [Xiaoshuo Yuebao], The Saturday [Libailiu] and Novel Times [Xiaoshuo Shibao]. It reveals that intellectuals leveraged the scientific knowledge, scientific spirit, as well as foreign cultures and ideas embedded in foreign science fiction to enlighten the public, broaden national perspectives, and refine social mores. Simultaneously, they acknowledged the recreational nature of science fiction as a form of popular literature, enabling it to fulfill the dual role of driving social reform while catering to readers' demands for leisure and entertainment.

Consumer psychology and demand preferences embedded within user reviews constitute core intelligence resources for precise business operations. This study focuses on the online book consumption scenario, aiming to construct an analytical framework for online book user purchase behavior based on Event Logic Graphs (ELGs). This framework deeply analyzes the internal logical chains and pattern regularities within user behavior events. It seeks to expand the research boundaries of user behavior analysis and ELG applications theoretically, while simultaneously providing practical support for e-commerce platform intelligent operations and the publishing industry's precision marketing. Thus, it possesses both theoretical innovation value and application prospects. Using Dangdang.com book reviews as the data source, the Top2Vec unsupervised topic clustering method was employed to extract user purchase behavior themes. Combining this with Gephi, an ELG was constructed where clustered themes served as nodes and semantic relationships between themes as edges. Visualization techniques were leveraged to deduce the logic behind user purchase behavior and uncover latent demand preferences. Online book purchasing behavior exhibits a causal logical chain of "Motivation Triggering → Decision Implementation → Feedback Iteration": The motivation layer encompasses diverse demand orientations like cognitive enhancement and emotional connection; the decision layer is driven by multidimensional factors including product aesthetics, social trust, and price perception; the feedback layer forms a closed-loop mechanism involving quality supervision and emotional continuity. Based on the behavioral characteristics revealed by the ELG, online book retailers need to anchor demand scenarios, building a precision operation system across four dimensions-content ecosystem, product form, marketing reach, and service quality control-to synergistically achieve growth in both user value and commercial value. The innovation lies in integrating Top2Vec theme clustering with ELG visualization technology, establishing a "semantic aggregation + logical deduction" research paradigm for consumer behavior. Limitations include the potential for small sample themes to weaken the explanatory power for group heterogeneity, and the research scope being currently confined to the "purchase behavior" stage without extending to the entire reading lifecycle. Future research should deepen conclusions by expanding data dimensions and scenario boundaries.

To accurately identify core operational characteristics and development patterns in the bestseller market and provide data-driven support for industry decision-making, this study analyzes 2,000 sales records of best-selling books from 1982 to 2023. Using Python data analysis techniques, we established a comprehensive research framework encompassing "data preprocessing, normalization, and visualization." During the analysis, we addressed data quality issues such as missing values and formatting inconsistencies through mean filling and format standardization. Dimensional differences were eliminated using Min-Max normalization and Z-Score standardization, while multidimensional visualization was conducted with tools like Matplotlib and Seaborn. The study systematically explored intrinsic correlations between key dimensions including book pricing, ranking performance, review feedback, and author influence. Results reveal that the bestseller market exhibits a "mid-range pricing dominance with moderate discounts for traffic diversion" characteristic, with the 20-100 yuan price bracket and 40%-60% discount range demonstrating highest market acceptance. Correlation analysis after data normalization shows a strong negative correlation between ranking frequency and ranking position (r=-0.82), while review growth correlates with diverging recommendation values (correlation coefficient r=-0.51). Top authors like Keigo Higashino maintain consistent bestseller effects, with their works excelling in rankings, review metrics, and recommendation values. The findings not only provide scientific evidence for readers 'purchasing decisions, publishers' topic planning, and sales platform algorithm optimization, but also facilitate the publishing industry's transition from experience-driven to data-driven development.

Nurturing creative involvement at work: Role of psychological safety and happiness at work.

The article examines how the audiobook’s increasing centrality on the contemporary book market influences publishing strategies. Departing from the case of Sweden, where audiobooks are primarily distributed via subscription-based streaming services, the article is based on interviews with 12 Swedish publishers and streaming service representatives. Thus, it contributes with a producer perspective to existing research in audiobooks, which is mostly centred on the consumption aspect and what audiobooks do to reading and uses of literature. Analysing interview results through the theoretical lens of platformization, the article shows how the publishers’ ideas and strategies related to audiobooks, what we call ‘audiobook imaginaries’, are connected to streaming platform imaginaries. Rather than producing texts ‘for sound’, publishers strategically focus on texts that are expected to perform well on the streaming platforms, resulting in preferences for serial fiction and in publishing strategies inspired by other streaming media. The article finally discusses how the audiobook boom pushes parts of the Scandinavian publishing industry towards cross-industry logics of streaming and platformization, resulting in an imagined fragmentation of the book market, as audiobooks and printed books are understood to exist in two different spheres that include different genres sold in different spaces, to (partly) different audiences.

With the rise of self-publishing, writers now have more ways than ever before to disseminate their work to a broad audience. This research employed a literature-based analysis within aqualitative-descriptive design. This study revealed that more people are self-publishing their stories and ideas because of the proliferation of digital channels. Electronic books and print-on-demand services are two critical technological innovations that have bolstered this trend by facilitating the production and distribution of written works. The publishing industry's and readers' increasing comfort with self-published books is another factor that has made the market more volatile. The writers are free to try out new styles and genres, reaching out to subgenres that mainstream publishers might ignore. A literature review found that there are obstacles to self-publishing. There is a lot of competition in the publishing industry, and authors have a tough time differentiating themselves from the throng. Without the support of well-established publishers, they also have to promote their own work, which can be an overwhelming task. Aspiring authors must comprehend the ins and outs of the self-publishing industry. In this in-depth analysis, the author will uncover the myriad forces that are shaping the modern author's experience in this subject.

The research paper seeks to investigate the problem of transformation in training models among employees within the publishing industry during the digital transformation era. Following the mixed methodology research strategy, the study was conducted among 328 employees from 12 various publishing companies to explore the dynamics and effectiveness in applying the transformation process within training models. The results show that 78.3% of employees within the publishing industry are facing severe digital know-how gaps that require an entire transformation within current training models. Systematic processes result in 73.2% successes rather than 41.6% within ad-hoc processes; there are 67% improvements within employees’ digital know-how within firms. Based on these findings within the study, there is development within the theoretical background to integrate organizational learning principles with firm-wide digital requirements to conclude that there are various training needs among employees that entail digital rights management within multiple platforms.

Introduction The creative industries, unlike artistic and heritage activities, is directly contingent upon the business factors. In the context of a technological revolution, creative industries undergo phygital transformation, merging the physical reality with the digital realm of the new technological shift. Localizing themselves within monocities, this process is exacerbated by lock-in effects due to path dependency of mono-industries and their peripheral location, leading to relocation of successful businesses towards more developed regional and national centers. The research aim is to explore the complex interplay between creative industries, digital and mono-industrial companies with a view to developing place-sensitive, evidence-based policy frameworks that stimulate post-industrial growth, enhance spatial development, and foster diverse economic transitions by virtual-physical synergies in creative industries. Methods To develop multi-level place-sensitive policy initiatives for creative industries in monocities, we propose the methodology based on the revealing of co-development and counter-development patterns between mono-industry, information and communication companies, and creative industries, offering profiles of creative post-industrial development, exposing paradox of creative surplus with creative arbitrage and propose the phygital instruments of creative sovereignty. Results As a result, we have identified 15 monocities with potential of creative post-industrial development in the Sverdlovsk and Kemerovo regions, Russia, suitable for regional and state level place-sensitive initiatives. Subsequently, the case-based, regionally bounded study of Serov illustrates the creative arbitrage of gastronomy, media and communications therein. Serov monocity possesses creative neoindustrial profile encompassing media and journalism, gastronomy, advertising and communication, enabling localized place-sensitive initiatives. Policy As a local-level initiative, we suggest establishing a creative cluster for gastronomy, media, and communications along with information and communication industries, complemented by a digital laboratory implementing phygital tools such as virtual and augmented reality, mobile and design applications, game engines, and 3D creation software. Building on the identified significant co-development between mono-industry and creative industries we recommend place-sensitive revitalizing projects integrated with literary and publishing industry. On the regional scale, the study permits identification of monocities where it is feasible to implement either standalone or collaborative phygital projects combining creative industries and town-forming enterprises, improving their digital infrastructure, and creating an inter-municipal creative cluster. We contend that interregional cooperation projects between the Kemerovo and Sverdlovsk regions could become a unique opportunity for mutual enrichment and development of the regional level economy. At the state level, initiatives center on reinforcing interdepartmental coordination and integrating best practices from Advanced Development Territories into strategies targeting the promotion of creative industries. Consequently, the proposed findings and profiles of creative post-industrial development are incorporated into the framework of multi-level governance.

This publication provides the first full-length memory interview about V. V. Mayakovsky, the iconic poetic figure of Soviet Russia and Russian Futurism. It was given in 1939 to A. S. Yezerskaya, the first director of the Mayakovsky Museum, by I. P. Ladyzhnikov, one of the largest Russian-language book publishers of the Russian emigration. This is the only known interview to date that has ever been publicly given by one of the representatives of the book publishing industry abroad. In the interview, Ladyzhnikov talked about his attitude to the poet and A. M. Gorky’s perception of Mayakovsky. Particular emphasis is placed on the activities of the Parus publishing house and the Letopis magazine within the framework of A. M. Gorky’s literary work. The interview contains a lot of new data on the literary and artistic environment of Russia in the 1910-1920s and the life of the Russian emigration abroad. It also reveals, for the first time, previously unknown pages of the personal and everyday life of Mayakovsky and Gorky during the difficult pre-revolutionary and revolutionary upheaval periods of their lives. Particularly relevant is the fact that I. P. Ladyzhnikov touched upon little-known aspects of the existence of the Russian creative emigration abroad, the peculiarities of Mayakovsky’s stay abroad. The interview is an important source on the history of Russian book publishing and culture of the 1910-1920s.

This study aims to optimize multichannel book distribution efficiency through the integration of machine learning–based demand forecasting and centralized warehouse strategy at PT Mizan Media Utama. Using three years of multichannel sales data from offline stores, marketplaces, resellers, and events, the research employs the XGBoost algorithm to predict monthly demand for selected book SKUs. The results demonstrate that XGBoost consistently outperforms conventional forecasting methods, achieving lower Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and higher R² values, indicating improved accuracy and reliability. Comparative analysis between actual sales in 2025 and forecasted results shows that XGBoost reduces average forecast error by 20–30% compared to traditional projection methods. These accurate predictions support more effective stock allocation within the centralized warehouse, minimizing overstock and stockout risks across sales channels. The findings confirm that integrating predictive analytics into distribution planning enhances operational efficiency, improves inventory control, and strengthens data-driven decision-making. This study contributes both theoretically and practically by demonstrating how machine learning can transform conventional supply chain management into a digitally integrated, responsive, and efficient system suited for the publishing and book distribution industry.