Purpose Drawing on knowledge-based theory and from the perspective of dynamic capabilities, this study aims to investigate the impact of digital and intelligent (D&I) transformation on both exploitative and explorative technological innovation, and further examines how knowledge recombinant capabilities, namely, reuse and creation, moderate these effects. Design/methodology/approach The research model was empirically examined by using a panel data set of Chinese listed firms in Shanghai and Shenzhen Stock Exchanges from 2000 to 2022. To address potential endogeneity concerns and strengthen the validity of the findings, we further conducted a series of robustness checks, including two-stage least squares estimation with the instrumental variable, a firm-level fixed-effect model that controls for unobserved heterogeneity across firms and over time and the panel regression models using robust and clustered standard errors. Findings The empirical results demonstrate that firm D&I transformation exerts a significantly positive impact on both exploitative and explorative technological innovation, highlighting the dual roles of D&I transformation in reinforcing incremental improvements as well as fostering breakthrough advances. Moreover, the analysis reveals that firms with stronger knowledge recombination capabilities, including both recombinant reuse capability and recombinant creation capability, could gain more technological innovation benefits from D&I transformation. Originality/value The findings highlight that firms’ benefits from D&I transformation vary, with knowledge recombination capabilities critically shaping how such transformation drives technological innovation, offering insights into how firms can strategically manage and reconfigure knowledge to fully unlock the innovative potential of technological changes.

Graduate employability has become a central concern for higher education institutions as labour markets undergo rapid transformation driven by digitalisation, technological change, and evolving organisational practices. Universities are increasingly expected to equip graduates with a broad range of employability skills and to collaborate with industry to enhance labour market readiness. However, existing research on employability skills development and university-industry collaboration remains fragmented across disciplines, contexts, and stakeholder perspectives. This systematic review synthesises evidence on how universities prepare their graduates for the labour market through employability skills development and university-industry collaboration. Following PRISMA guidelines, 84 journal articles and conference papers published between 2015 and 2025 were identified through a systematic search of the Scopus database and analysed thematically. The findings reveal that graduate employability is conceptualised as a multidimensional and context-dependent construct encompassing discipline-specific, transversal, digital, career management, and professional disposition-related skills. Employability skills development is most strongly supported through pedagogical approaches that emphasise authentic engagement with professional contexts, including work-integrated learning, project- and challenge-based learning, and technology-mediated collaboration. Reported outcomes extend beyond immediate employment metrics to include enhanced confidence, skills acquisition, employability awareness, curriculum relevance, and organisational learning. However, the effectiveness and sustainability of these initiatives are shaped by structural and institutional conditions, including policy frameworks, resourcing, partnership coordination, and equity of access. The review contributes an integrative synthesis that connects employability skills, pedagogical design, and university-industry collaboration, and outlines implications for policy, educational practice, and future research.

Benchmarks have helped fuel rapid progress in large language models (LLMs) across a variety of domains including math, science, dialogue, and coding. Yet no existing benchmark adequately captures the defining elements of strategic decision making: uncertainty, complexity, irreversible multiperiod moves, and delayed or noisy feedback. This gap limits our ability to assess and guide LLMs’ capabilities in strategy. We propose that established strategy teaching simulations provide an ideal benchmarking approach because (1) they approximate the essential features of real-world strategy, and (2) they do so in a controlled, replicable environment suitable for evaluation. To demonstrate this, we assess the performance of 21 proprietary and 13 open-source LLMs on the Back Bay Battery (BBB) simulation, a widely used exercise in strategy and innovation courses. The simulation requires balancing short-term profitability against long-term competitive positioning while integrating complex information about customer preferences and technological change. We built an interface enabling LLMs to interact with the simulation as though encountering it for the first time, masking identifiers to reduce contamination from prior training data. Our results show clear progress in composite BBB performance: Later models generally outperform earlier versions, and reasoning-focused models from late 2024–early 2025 (e.g., o4-mini, Claude Sonnet 4, Gemini 2.0 Flash) exceed even the average scores of historical MBA student cohorts. However, frontier models from mid-to-late 2025 (e.g., GPT-5, Claude Opus 4.5, Gemini 3) have declined, underperforming both earlier LLMs and MBA students. This decline is partially explained by a systematic bias toward exploiting the core business at the expense of investing in future growth. Overall, these findings highlight impressive advances in LLMs’ strategic abilities since their inception. At the same time, we document current frontier models’ surprising weakness in managing strategic uncertainty. This paper pioneers and provides guidance for using simulation-based benchmarking as a productive framework for strategy researchers to track progress, identify blind spots, and shape the trajectory of strategy-specific LLM capabilities. History: Accepted for the Special Issue: Can AI Do Strategy? Supplemental Material: The online appendix is available at https://doi.org/10.1287/stsc.2025.0444 .

The study aimed to explore change management strategies and their impact on employees at the Central Library of the Northern Technical University, as well as to understand employee performance and its relationship with the use of technology in completing tasks. The researcher used personal interviews for data collection and employed the descriptive-analytical method, along with the case study method, To enhance the practical aspect of the study, a SWOT analysis was conducted to identify the strengths and weaknesses within the internal environment of the library, as well as to identify the opportunities and threats it faces. This analysis contributes to understanding the current state of change management and provides insights into the future trends of the Central Library in light of technological and organizational changes The study arrived at a set of findings, the most important of which are as follows. The interview results showed that approximately 82% of the library staff demonstrated a clear willingness to embrace change and implement modern work strategies, reflecting a positive work environment that encourages adaptation to technological and organizational transformations. The findings revealed that 40% of the services provided by the library are still executed using manual methods, underscoring the urgent need to accelerate the digital transformation by developing electronic systems and increasing reliance on the internet in administrative procedures.

Beyond the screen: Unveiling the drivers of Indonesian teachers' engagement in online professional development

Purpose The rapid evolution of immersive technologies (IMTs) underscores the need for food enterprises to adopt a flexible mindset, foster engagement, and embrace technological change to embark on a successful journey. This research employs an organizational change approach to empirically investigate the role of individual unlearning (IUNL) in enabling food sector organizations to navigate this transformation effectively. For this purpose, we utilized the AIDUA framework by interpreting the fundamental factors of employees' perceived autonomy, competence, and relatedness as catalysts for IUNL during the initial appraisal phase. In the ensuing secondary appraisal phase, the perceived performance expectation and effort expectancy of the IUNL approach were investigated, with the ultimate objective of influencing willingness to adopt or reject these IMTs in the final stage. Design/methodology/approach A mixed-methods approach, utilizing Partial Least Squares Structural Equation Modeling and Artificial Neural Networks, was employed to analyze data from 223 participants in China. Findings The results showed that fulfilling autonomy, competence, and relatedness has a positive impact on IUNL, which subsequently leads to a notable improvement in performance expectancy and effort expectancy. Furthermore, performance expectancy and effort expectancy have a positive and significant influence on the willingness to adopt IMTs in organizations, while demonstrating no considerable impact on the rejection of IMTs. Originality/value These findings highlight the crucial role of unlearning in facilitating IMT adoption and have far-reaching implications for shaping organizational strategy, fostering innovation, and facilitating a smooth transition to an increasingly dynamic technology environment.

The transition to electric buses involves a shift in public transport systems, requiring changes to the role of public transport authorities (PTAs). This study analyses how PTAs' role as planners and procurers of public transport is impacted by electrification, employing a sustainability transition perspective. Through thematic analysis of semi-structured interviews with 25 interviewees involved in eight public procurements, both qualitative and quantitative changes were identified. The findings show that the organisational model influences how electrification changes the role and responsibilities of PTAs, as new technology alters established procurement logics and the reinterpretation of procurement principles. Additionally, this transition necessitates changes in long-term strategic planning, including adjustments in ownership structures and the distribution of responsibilities. The emergence and assessment of new questions and phenomena, for example, regarding battery production and sustainability, further change the role of the PTA. The rapid pace of this technological change challenges PTAs' ability to proactively manage developments, creating a dynamic where PTAs both take on new responsibilities and react to market changes. This study highlights the emerging tensions between PTAs' procurement principles and long-term planning objectives, calling attention to the need for a balanced approach to manage their evolving assignments effectively in the face of new technology.

Methodological concepts are fundamental issues in educational research, concerning the scientific status and research quality of the discipline. This article, from a meta-educational perspective, systematically explores the connotations, historical shifts, and core characteristics of modern educational methodology. The study argues that modern educational methodology comprises three levels: philosophical foundation, logical strategy, and technical tools. Historically, it has undergone significant shifts, from imitating natural sciences to returning to the lived world, from pursuing grand narratives to focusing on micro-contexts, and from emphasizing disciplinary independence to moving towards interdisciplinary integration. It exhibits core characteristics such as pluralistic inclusiveness, reflective critical thinking, and practical generative nature. Faced with technological change and the demands of localization, educational methodology needs to construct a new paradigm that responds to the challenges of our time, guided by complex thinking.

Architectures of Global AI Governance: From Technological Change to Human Choice by Matthijs M. Maas

The rapid development of artificial intelligence technologies and their widespread implementation across various spheres of human activity highlight the urgent need for mass education in AI tool usage, particularly in mastering prompt engineering techniques. Traditional educational approaches cannot keep pace with technological change, creating a gap between labor market demands and competencies of educational programs’ graduates. Purpose. To present the architecture and design methodology of an interactive simulator system with automated assessment based on large language models for teaching various aspects of working with AI tools; to describe the practical implementation experience in development courses. Methodology and research methods. The study is based on instructional design methodology and gamification theory in education. The system architecture is implemented using client-side web technologies (HTML5, JavaScript) and integration with the API of large language models (OpenRouter) for automated assessment of open-ended tasks. Approbation was carried out in the context of advanced training courses under the program “Introduction to neural networks: practical development of AI platforms”. Results and scientific novelty. An interactive simulator system architecture was developed, including six specialized modules: prompt engineering techniques (Zero-shot, Few-shot, Chain-of-Thought, etc.), AI ethics, image and video generation, presentation creation, and AI data analytics. Scientific novelty lies in applying large language models for automated assessment of creative assignments with detailed feedback generation without instructor involvement. The system integrates gamification mechanisms (achievement system, progressive content unlocking) to enhance learner motivation. Practical significance. The presented system can be integrated into teacher professional development courses and higher education programs in various subject areas. The modular architecture provides the ability to adapt simulators to different subject areas and educational contexts. Areas for further development of the system have been identified, including integration with LMS through SCORM packages and the development of its own plugin for educational analytics.

Rapid changes in technology, market dynamics, and consumer behaviour are reshaping industries and research domains. One of the major future challenges is technological disruption, where fast-evolving digital tools such as artificial intelligence, automation, and data analytics demand continuous adaptation. Organizations and researchers must keep pace with innovation while managing high costs, skill gaps, and system integration issues. Another significant challenge is sustainability and environmental responsibility. Increasing pressure to reduce carbon footprints, manage resources efficiently, and comply with environmental regulations requires innovative and eco-friendly solutions. Balancing economic growth with sustainable practices will remain a critical concern in the future. Changing consumer expectations also present a challenge. Modern consumers demand personalized, convenient, and affordable solutions. Meeting these expectations requires innovation in product design, service delivery, and business models. Failure to adapt may lead to reduced competitiveness and market relevance. From a research perspective, data security and ethical concerns are growing challenges. With increased reliance on digital platforms and data-driven systems, protecting user privacy and ensuring ethical use of information is essential. Researchers must address these issues while maintaining transparency and trust.

Climate change might increase the risk of salmon pisciculture operations by reducing the freshwater supply. Technological change is often regarded as a key aspect of climate adaptation. This paper presents the results of a labeled Choice Experiment designed to explore the preferences of salmon pisciculture managers for recirculating aquaculture systems (RAS) and nature-based solutions (NbS) in Chile. We found that the managers consider not only the investment costs but also the environmental consequences of the technology and the social acceptability of the industry. While economic attributes primarily drive investment decisions for RAS, environmental and temporal factors are more significant when adopting NbS. We also found that managers of salmon land-based farms located in higher-risk zones are less likely to adopt new technology. We interpret this as evidence that producers have not yet been significantly affected by climate change in the study zones and are overconfident about the likelihood of future climate-related events. This finding highlights the need to raise awareness of the more adverse impacts associated with climate change that are expected for the sector in the future.

Purpose This paper aims to explore strategies for fostering emergent resilience in employees within global digital business communication. As organizations increasingly rely on digital technologies, workforce adaptability and resilience become essential for maintaining competitiveness and efficiency. This study integrates theoretical perspectives with practical applications to develop a framework that enhances workforce resilience amid technological change and globalization. Design/methodology/approach This conceptual paper applies three key theoretical frameworks: Social Learning Theory, the Technology Acceptance Model (TAM) and Diffusion of Innovations Theory. By analyzing how employees learn, adopt and integrate digital communication technologies in the workplace, this study synthesizes recent literature to identify effective training programs, digital literacy strategies and leadership approaches that support resilience. Findings The analysis highlights the importance of adaptive training programs, digital literacy development and leadership support in fostering resilience. Key findings indicate that mentorship, experiential learning and a culture of continuous upskilling contribute to employee adaptability. Challenges such as digital skill gaps, generational differences in technology adoption and resistance to change are addressed with targeted training strategies. Originality/value This paper contributes to the discourse on workforce resilience by offering a theoretically grounded and practically applicable framework for training employees in global digital business communication. By bridging theoretical models with real-world applications, it provides valuable insights for organizational leaders, HR professionals and training specialists seeking to develop adaptable and competitive workforces in an increasingly digitalized global economy.

This study aims to analyze the degree of air superiority, a strategic concept thatplays a central role in the planning and implementation of modern air operations. This termrefers to the degree of control of an air force over a specific area that allows the execution ofmissions without significant interference from opposing air forces. In general, the degree of airsuperiority is classified into three categories: air parity, air superiority, and air supremacy, eachof which indicates a different degree of dominance over potential enemy air threats. Airdominance is a strategic prerequisite that determines the outcome of modern conflicts. Theconcept of degree of superiority evolves along with changes in technology, doctrine, and thecomplexity of global geopolitics. In the context of air operations, achieving degree of airsuperiority is influenced by various factors, including technological capabilities, theeffectiveness of air defense systems, information mastery, and the efficiency of command,control, communications, computers, intelligence, reconnaissance, and surveillance (C4ISR)systems. The interaction of these factors contributes to the success of joint operations and theability to maintain long-term air dominance. Effective air superiority also directly impacts thefreedom of action of one's own forces in conducting cross-service operations. Acomprehensive understanding of the degree of air superiority is a key factor in strategicdecision-making at the operational level. Integration of technological capabilities, informationsuperiority, and cross-service coordination is necessary to achieve sustainable air dominance.Therefore, analyzing the degree of air superiority is not only crucial for tactical purposes butalso serves as the basis for developing comprehensive air defense doctrine and strategy. Thisarticle discusses the theoretical framework in depth, the factors influencing its achievement,and presents case studies from various conflicts ranging from World War II to potential conflictsin the Indo-Pacific. This study confirms that successfully achieving air superiority depends notonly on air power alone, but also on multi-domain integration, defense industry readiness, andpolitical and diplomatic support.

The growing pace of disruptions in the world such as pandemics, climate changes, technological changes and socio-political uncertainties has highlighted the importance of pedagogical resilience in educational systems. The present paper discusses the notion of pedagogical resilience as the ability of educators to modify, be creative, and maintain valuable learning experiences in times of crisis and swift development. Going beyond emergency responses, the study frames resilience as a multidimensional construct and includes: professional competence, emotional regulation, digital preparedness, collaborative networks, and reflective practice. Based on the modern studies on teacher training, educator crisis management, and educational technologies, the paper discusses how the pre-service and in-service training programs can integrate the resilience based frameworks into curriculum design and teacher development programs. Specific focus is paid to adaptive instructional interventions, trauma-informed education, the integration of blended learning, and the leadership support processes that enhance the capacity of teachers to effectively make responses to uncertainty. The discussion shows that the institutional culture, flexibility of policies, and involvement of the community can contribute to sustainable resilience, in contrast to temporary coping strategies. Results indicate that resilient teachers are characterized by increased instructional continuity, student engagement and professional well-being in case of disruption. The paper suggests a systematic model of resilience-building that combines an approach to scenario-based training, building digital competency, peer mentoring, and continuous reflective assessment. This study can be used in the continued debate on teacher preparedness in unstable education settings by repositioning resilience as a competency instead of a reactionary skill. The study highlights that the development of pedagogical resilience is critical to the survival of crisis as well as long-term change and innovation in the teaching practice.

In the current context of digital business transformation, Internet marketing and e-commerce have gained strategic importance for the development of enterprises in the global economy. This article examines the main directions and innovative approaches in the field of e-commerce, focusing on the impact of artificial intelligence, big data, marketing automation, chatbots, and mobile platforms on the effectiveness of marketing campaigns and customer engagement. Special attention is given to the role of social media and integrated omnichannel sales models, which enable personalized offers, enhance customer loyalty, and strengthen brand reputation. The study analyzes global and Ukrainian e-commerce trends for the period 2018–2025, considering the influence of global trends such as the development of augmented and virtual reality technologies, the integration of fintech solutions, and the growth of mobile shopping on the transformation of business models and customer communications. Particular emphasis is placed on the transformation of business models driven by Internet technologies, mobile commerce, and global digitalization. The article highlights a comprehensive approach to the use of digital tools, including SEO, SMM, content marketing, and affiliate marketing, which allows for resource optimization, increased audience reach, and adaptation of marketing strategies to changing consumer behavior. The author emphasizes that the successful implementation of innovative strategies in Internet marketing and e-commerce is crucial for maintaining enterprise competitiveness, creating added value, and ensuring sustainable business development in the context of dynamic technological and socio-economic changes. The article will be useful for researchers, marketing practitioners, business managers, and specialists in the digital economy seeking to implement modern tools and strategies to enhance business process efficiency. The rapid growth of internet marketing will continue, adapting to the advancement of information technologies, global events, and contemporary realities.

Gender convergent labor and technological change at the Pleistocene to Holocene Transition in the Great Basin

The promise of genomics-assisted breeding relies on efficient, affordable, and abundant molecular markers. Leveraging modern sequencing technology, commercial laboratory products, and open-source software, we demonstrate how ultra-low whole-genome sequencing coverage (skim-seq, 0.05-0.10x) can be a viable marker platform. The direct generation of sequence data followed by imputation provides an opportunity to implement genomic selection while being robust to future genomic (changes in reference genome) and technological (improvement in sequencing capacity) changes. We genotyped 1709 wheat (Triticum aestivum) lines with genotyping-by-sequencing (GBS), a mid-density DArTAG single nucleotide polymorphism panel, and skim-seq (0.07x). All skim-seq samples were used to identify loci variants using a reference genome without the aid of any high-coverage samples. STITCH software was used for imputation to obtain 121,437 markers. Comparing high-confidence STITCH imputed loci (approximately 65,000 of 14M imputed loci) to high-coverage samples resulted in the correct imputation for more than 97.5% of the markers. Using phenotypic data, a fivefold cross validation was implemented for each marker platform. No one marker system performed the best in all test cases, with GBS often resulting in the highest correlation between observed and predicted values. The skim-seq correlations were typically within 0.03 of GBS, suggesting skim-seq can be a viable marker strategy for genomic prediction. As technology and computational pipelines advance, skim-seq appears to be a promising method to bridge the gap between targeted genotyping and whole-genome sequencing. The skim-seq method is highly flexible and can be optimized to a variety of program needs, potentially allowing for wide adoption by the plant breeding community.

Performance of a novel concave solar still integrated with vertical zig-zag wick technology and phase changing material

Adapting to technological change: How innovation ecosystems shape startup inter-organizational integration decisions