Effects of artificial intelligence usage and knowledge-based dynamic capabilities on organizational innovation: A configurational approach

Building a HBCU/PBI Pharmacy Collaborative as an Approach to Sharing Successful Practices and Resources.

Introduction: The purpose of the research was to identify viable alternatives to strengthen cocoa production and marketing in the municipality of Roberto Payán, department of Nariño. It was proposed as a solution to the devaluation of the crop and the high presence of illicit crops, phenomena that have limited agricultural development in the region. The study focused on the implementation of green innovation as a strategy to promote sustainability, productivity and competitiveness of cocoa in the area.Development: During the study, the national and international context of cocoa production was analyzed, as well as successful experiences of cooperatives that applied organizational and environmental innovation practices. It was observed that in Peru, for example, community organization significantly boosted the export of organic cocoa. In Colombia, the need to improve processing processes, train farmers and protect the characteristics of fine aroma cocoa was discussed. In the case of Roberto Payán, obstacles such as the presence of armed groups, state neglect, and the lack of adequate technology and infrastructure were identified.Conclusions: It was concluded that cocoa represents an opportunity for economic, social and environmental development for Roberto Payán, provided that the production chain is strengthened with green innovation, institutional support and community empowerment. The progressive replacement of illicit crops with cocoa is feasible if sustained investment and technical training are guaranteed, which would allow the municipality to become a regional reference in cocoa production.

ABSTRACT This study examines how organizational publicness—the balance between political oversight and economic autonomy—shapes digital innovation in public organizations. Comparing state-owned enterprises (SOEs) and quasi-governmental organizations (QGOs), we find innovation drivers vary by type. In SOEs with greater managerial discretion, younger leadership promotes innovation. QGOs respond more to performance feedback from authorities, reflecting stronger political accountability. Government funding fosters innovation in QGOs but not SOEs. Isomorphic pressures – pressures to conform to institutional norms – encourage digital innovation across both types. These findings suggest that digital innovation is shaped by distinct institutional logics along the publicness spectrum.

This study investigates the mediating effect of creative self-efficacy in the relationship between job autonomy and innovative work behavior within the Nepalese service sector. A quantitative approach was used, and the data were collected purposively from 409 employees in the diverse Nepalese service sector. The data were analyzed using PLS-SEM in R software to examine the structural paths. Findings reveal that job autonomy positively influences innovative work behavior, with creative self-efficacy partially mediating the relationship. The results contribute to organizational behavior literature by highlighting psychological mechanisms underlying innovative work behavior in hierarchical contexts. Practical implications include fostering creative self-efficacy through training and structured autonomy to drive organizational innovation. Thus, the study emphasizes that strengthening both autonomy and creative self-efficacy is essential for enhancing employee innovation in service-sector organizations.

This study investigates the relationship between self-leadership and innovative work behavior among 384 employees in Beijing's technology-based SMEs, exam-ining the mediating role of creative self-efficacy and the moderating effect of knowledge sharing. Results show that creative self-efficacy significantly mediates the self-leadership–innovative work behavior relationship (30.6% of total effect), while knowledge sharing strengthens the positive relationship between self-leadership and creative self-efficacy. Based on these findings, a 12-month intervention program is proposed to enhance organizational innovation capacity. This research contributes to innovation management theory by validating an integrated framework applicable to resource-constrained SME contexts.

This study examined innovativeness and performance of brewery industry in South-East, Nigeria. It was done to identify the extent to which innovativeness programmes in the business can enhance survival of the organizations under study. The study employed survey research design and the questionnaire served as the instrument of data collected. The analysis was done using Percentages, Mean and Pearson Product Moment Correlation Coefficient (through SPSS version 21.0). It was found that product, process and market innovations all significantly affect and enhance productivity and patronage. The study concludes that innovation is a key determinant of organizational performance, as it helps an organization to discover new market, improve its products, and adopt more positive and acceptable methods of doing business. Based on the findings, it was recommended that to allow for increased organizational performance, the variables of innovation strategies namely product, process, market and organizational innovation strategies need to be employed by organizations. More so, product and process innovation which are technology driven should be given attention with concerted efforts made to integrate it to the operations of the firms.

The construction sector in East Java, which contributes 9.92% to Indonesia’s GDP, faces persistent challenges such as financial losses, project delays, and a shortage of skilled labor. Despite the sector’s strategic role, previous studies have produced inconsistent findings regarding the effect of Total Quality Management (TQM) on Organizational Performance (OP). To address this gap, this research examines the direct relationship between TQM and OP and investigates the mediating role of Organizational Innovation Capability (OIC). This study adopts a quantitative-explanatory design with data collected from 104 respondents representing construction service companies in East Java. The analysis was conducted using the SEM-PLS method with SmartPLS3 software. The findings reveal that TQM positively influences OP, while TQM also enhances OIC, which in turn contributes to OP. Furthermore, OIC is confirmed to partially mediate the relationship between TQM and OP, highlighting its importance in strengthening organizational outcomes. These results provide empirical evidence that improving innovation capability is essential for maximizing the benefits of TQM in the construction sector. Future studies are encouraged to examine other potential mediators and apply advanced testing methods to further enrich the understanding of organizational performance determinants.

Green Human Resource Management (GHRM) has emerged as a key catalyst to sustainable performance, however, empirical studies of its impact on green organizational innovation, especially within the manufacture sector of developing economies, are limited. This descriptive study examines how green human resource practices, namely, green recruiting and selection (GRS), green training and development (GTD), green compensation and benefits (GCB), and green innovation performance (GIP) affect the green innovation performance of firms by looking at both the direct and indirect impacts. Besides, the research investigates green organizational culture (GOC) as a possible mediating variable that can be used to connect these practices with better environmental performance. Using questionnaire survey, the data of 384 manufacturing employees in Pakistan was gathered. The analysis was done by using Smart Partial Least Squares 4 Structural Equation Modeling (PLS-SEM) and the hypotheses were tested. Results show that GOC plays a significant role in the correlation between green HR practices and green innovation performance and hence emphasizes the role of a favorable cultural environment in converting HR efforts into real environmental benefits. The findings are of significant theoretical and practical value as they bring the GHRM literature to a developing country manufacturing context, and practical relevance due to its implication of the importance of developing green culture to achieve a full potential on green HR investments.

Design Thinking (DT) is increasingly recognized as a critical capability for leaders in business and other sectors, including education, where schools operate as complex organizations requiring innovation and adaptability similar to businesses. This study positions school administrators as strategic human capital whose DT attributes drive organizational innovation and transformation toward design thinking–oriented schools. Using a mixed-methods design, the study examined DT practices across diverse school contexts and developed implementation guidelines to enhance DT-based leadership. A quantitative survey of 480 administrators was used to assess DT attributes, implementation levels, outcomes, and barriers. This was followed by qualitative interviews and focus groups with administrators and DT experts to explore leadership development pathways, practical DT practices, and context-specific challenges. Results indicated that DT implementation levels were primarily explained by DT attributes—especially acceptance and beliefs—accounting for 44% of the variance, while DT outcomes were influenced by DT attributes and policy implementation within a supportive learning culture, with school context playing a secondary but significant role (44.6%). Qualitative findings highlighted both enablers and barriers, emphasizing the need for context-sensitive strategies. The proposed framework for design-oriented leadership in school leaders, offers actionable guidance for cultivating innovation-oriented, human-centered leadership and aligning educational organizations with design thinking practices commonly applied in progressive business contexts. These findings provide a foundation for context-based strategies to empower the application of DT in schools.

ABSTRACT This study investigates the impact mechanism of different dimensions of failure learning on corporate innovation performance. Compared with the extensively researched field in the effects of organizational failure learning, this area remains largely underexplored. Drawing on dynamic capability theory and social information processing theory, we examined the relationships between single‐loop/double‐loop failure learning, organizational resilience (the bounce‐back dimension and the bounce‐forward dimension), the task‐related top management team (TMT) faultline, and corporate innovation performance. Accordingly, regression analysis using the structural equation modelling (SEM) method was conducted on a sample of 483 middle and senior executives from various enterprises. The findings reveal that both single‐loop failure learning and double‐loop failure learning positively influence corporate innovation performance. The bounce‐back dimension of organizational resilience partially mediates the relationship between single‐loop failure learning and corporate innovation performance. Conversely, the bounce‐forward dimension partially mediates the relationship between double‐loop failure learning and corporate innovation performance. Notably, the task‐related TMT faultline positively moderates only the relationship between double‐loop failure learning and the bounce‐forward dimension; its moderating effect on the relationship between single‐loop failure learning and the bounce‐back dimension is not significant. Our findings emphasize the role of organizational resilience bridging failure learning and innovation performance, and provide theoretical insights for the composition and adjustment of top management teams within enterprises.

This study examines the transition from traditional paper‑based systems to advanced digital document and records management frameworks, emphasizing the growing strategic importance of AI‑enabled processing, cloud‑based platforms, workflow automation, and blockchain‑supported integrity controls. These technologies collectively foster more intelligent, scalable, and flexible document workflows. The analysis highlights key benefits, including enhanced operational efficiency, improved information security and regulatory compliance, reduced costs through decreased paper dependency and cloud scalability, and strengthened governance supported by accurate and accessible data. The paper also identifies critical challenges such as cybersecurity risks, integration complexities with legacy infrastructure, change‑management obstacles, and budgetary limitations—that organizations must address to achieve a successful digital transformation. Strategically, the study underscores the need for robust governance mechanisms to ensure that digital initiatives align with institutional goals and regulatory requirements. Insights from sectors such as healthcare and finance illustrate how modern digital document management solutions deliver measurable improvements in efficiency, compliance, and service quality. Ongoing developments in AI, cloud computing, and blockchain technologies are expected to further shape the field, making organizational agility and innovation essential for future competitiveness.

In the era of digital transformation, the alignment between IT governance and business strategy has become a decisive factor in sustaining organisational competitiveness and innovation. This study explores how effective IT governance frameworks enable strategic alignment, decision-making, and value creation across enterprises navigating complex digital environments. Employing a qualitative research methodology, semi-structured interviews with IT executives, digital transformation officers, and business strategists were analysed thematically to uncover patterns linking governance mechanisms with strategic agility. The findings reveal that organisations with mature IT governance structures—characterised by clear accountability, stakeholder collaboration, and adaptive decision rights—achieve higher degrees of strategic alignment and digital integration. Furthermore, the research highlights the growing influence of data-driven governance and cross-functional leadership in fostering alignment. The study contributes to theoretical and managerial understandings of governance-strategy convergence and proposes a dynamic model for sustaining alignment amid rapid technological change. Recommendations emphasise continuous governance evaluation, stakeholder engagement, and the integration of digital maturity assessments into strategic planning. Keywords: IT governance, business-IT alignment, digital transformation, strategy, qualitative methodology.

Purpose This study aims to examine how artificial intelligence (AI) capabilities influence organizational performance in the public sector, with strategic foresight as a mediating mechanism. It investigates how institutional enablers, including government incentives, regulatory support and perceived financial costs, contribute to AI capabilities and how these capabilities translate into performance outcomes. Design/methodology/approach Drawing on the resource-based view, survey data were collected from 303 Vietnamese public officials and analyzed using partial least squares structural equation modeling. AI capabilities were conceptualized as a second-order construct encompassing AI basics, AI skills and AI proclivity, while strategic foresight comprised environmental scanning and strategic selection. Findings Government incentives, regulatory support and cost awareness significantly enhance AI capabilities. These capabilities have both direct and indirect effects on performance through strategic foresight, which partially mediates the relationship. Although perceived financial cost strengthens AI capabilities, it does not directly affect performance. Organizational innovation shows no significant influence on AI capabilities or performance, emphasizing the greater importance of institutional support and foresight capacity. Originality/value This study advances understanding of how AI capabilities contribute to public value creation by integrating strategic foresight into the capability and performance link. It highlights that technology adoption alone is insufficient without supportive institutional frameworks and future-oriented strategic processes, offering actionable insights for policymakers and public managers in emerging economies.

This study analyzes the transformation of K3 in Indonesia from an administrative obligation to a strategic element to support a creative work environment. Through a systematic review (PRISMA 2020) of 15 out of 450 articles, this study revealed three key findings: (1) K3 creates psychological safety as a psychological foundation; (2) K3 increases motivation and job satisfaction; and (3) K3 encourages organizational innovation through employee participation. In conclusion, K3 is a strategic investment for organizational competitiveness that needs to be integrated into HR strategies. Recommendations for further research are longitudinal empirical studies.

This comprehensive review synthesizes the expanding body of scholarship on how business intelligence (BI), process mining, and Lean Six Sigma (LSS) collectively enable sustainable business model innovation in modern organizations. Drawing from multidisciplinary literature across operations management, information systems, sustainability science, and industrial engineering, the study examines how BI provides the data architecture and analytical foundation for real-time visibility, how process mining operationalizes event-log–driven transparency for continuous process improvement, and how LSS offers structured methodologies for reducing waste and optimizing value streams. Using a thematic synthesis approach, the review identifies the integration mechanisms through which these three capabilities support environmental, social, and governance (ESG) objectives, accelerate digital transformation, and strengthen decision-making for sustainable value creation. Findings demonstrate that BI-driven analytics enhance sustainability reporting and performance measurement; process mining uncovers inefficiencies and compliance deviations critical to ESG outcomes; and LSS embeds disciplined, data-driven improvement cycles into organizational routines. The review concludes by outlining a conceptual integration framework, highlighting implementation challenges such as data quality, skills gaps, and technological fragmentation, and proposing a research agenda focused on unified BI–process mining–LSS architectures for next-generation sustainable business models.

As artificial intelligence (AI) becomes an integral part of organizational operations, collaboration between humans and AI is transforming employees’ work experiences and behavioral patterns. This study examines the psychological challenges and coping responses associated with such collaboration. Drawing on Cognitive Appraisal Theory, we construct and test a theoretical framework that connects employee–AI collaboration to knowledge hiding via job insecurity, while considering AI trust as a moderating variable. Data were collected through a three-wave time-lagged survey of 348 employees working in knowledge-intensive enterprises in China. The empirical results demonstrate that (1) employee–AI collaboration elevates perceptions of job insecurity; (2) job insecurity fosters knowledge-hiding behavior; (3) job insecurity mediates the link between collaboration and knowledge hiding; and (4) AI trust buffers the positive effect of collaboration on job insecurity, thereby reducing its indirect impact on knowledge hiding. These findings reveal the paradoxical role of AI collaboration: although it enhances efficiency, it may also provoke defensive reactions that inhibit knowledge exchange. By highlighting the role of AI trust in shaping employees’ cognitive appraisals, this study advances understanding of how cognitive appraisals influence human adaptation to intelligent technologies. Practical insights are offered for managers aiming to cultivate trust-based and psychologically secure environments that promote effective human–AI collaboration and organizational innovation.

Introduction: Digital transformation in educational institutions has modified not only pedagogical processes but also administrative management, generating the need for innovative strategies that integrate leadership, technological platforms, data analytics, and quality assurance. The reviewed literature shows that information and communication technologies, virtual learning environments, and management systems have become pillars of organizational and pedagogical innovation, although technical, ethical, and organizational barriers persist. Objective: To analyze, through a systematic literature review, how innovative administrative management in educational institutions contributes to optimizing learning quality in the digital age. Method: The PRISMA protocol was applied to databases such as Scopus and Dimensions.ai, with a specified time range. The PICO question was used to define the population, intervention, comparison, and outcomes. Results: The findings are grouped into four axes: digital leadership and governance, where comprehensive, partial, and rudimentary management patterns are identified; institutional platforms and LMS, highlighting interoperability and curricular standardization; enabling technologies, with learning analytics, AI, and data mining applied to prediction, management, and institutional efficiency; and effects on learning quality, evidenced by the prioritization of TPACK constructs, student satisfaction, and the limited but positive impact of analytics in secondary and hybrid education contexts.

Preservation and Renewal: Examining Organizational Innovation Behavior in the Context of Sustainability, Social Responsibility, and Environmentally Conscious Management

Digital strategy is a critical enabler of organisational innovation and competitiveness in the digital economy. This study presents a comprehensive bibliometric analysis of 361 Scopus-indexed publications from 2000 to 2025, mapping digital strategy research's intellectual structure and thematic evolution. Using VOSviewer and Biblioshiny, the analysis identifies core research clusters, citation patterns, and influential contributors. The analysis indicates that the manufacturing and construction sectors are most frequently represented in the literature, and the United States has the highest number of publications. Emerging subjects, including virtual reality and digital platforms, reflect evolving directions in current research. The field is largely empirical, emphasising practical applications and ongoing development of theoretical foundations. However, notable gaps persist, especially in research concerning small and medium-sized enterprises (SMEs) and interdisciplinary integration bridging business, technology, and policy. One limitation of this study is its exclusive reliance on the Scopus database, and future research would benefit from incorporating additional databases to achieve a more comprehensive global representation. This review provides information relevant to scholars, practitioners, and policymakers interested in aligning digital strategy with sustainable innovation and organisational transformation. By integrating major trends and identifying existing knowledge gaps, this work enhances comprehension of the evolving role of digital strategy. It highlights the significance of multidisciplinary approaches in addressing complex digital challenges.