Organizational Readiness Research Articles

Research on Artificial Intelligence Applications in Global Supply Chains

This research examines the transformative role of artificial intelligence (AI) in global supply chain management, analysing its applications, benefits, and challenges across various supply chain functions. Through a comprehensive analysis of current implementations and industry practices, the study reveals how AI technologies are revolutionizing supply chain operations through enhanced demand forecasting, inventory optimization, logistics management, and supplier risk assessment. The research identifies key success factors in AI implementation while addressing critical challenges including data privacy concerns, technical integration difficulties, cost barriers, and ethical considerations. The findings demonstrate that successful AI integration in supply chains requires a balanced approach combining technological innovation with careful consideration of organizational readiness, data security, and ethical implications. The study concludes by proposing strategic recommendations for organizations seeking to leverage AI in their supply chain operations and highlighting future development directions as AI technology continues to evolve. But the insights from industry leaders like Amazon and Alibaba may not fully apply to SMEs, which face unique challenges such as limited resources and technological readiness, highlighting the need for future research on scalable, cost-effective AI solutions and collaborative strategies to support their adoption.

The impact mechanism of digital transformation on the supply chain capabilities of the fresh-cut flower industry in Yunnan province of China

Given the rapid global economic development and continuous technical advancements, a key strategy for companies trying to improve their competitive edge and accomplish sustainable development is digital transformation. This study's goal was to investigate how the supply chain capabilities of Yunnan Province's fresh-cut flower business are affected by digital transformation. To collect data, the study employed a survey methodology based on a questionnaire. Ultimately, 402 flower businesses in Yunnan Province produced valid du-plicates. PLS-SEM was utilized in the study to evaluate the data, and the results showed that digital transformation greatly improved the enterprises' capacity for both innovation and supply chain management; innovation capabilities positively impacted supply chain capabilities and acted as a mediator in the relationship between supply chain capabilities and digital transformation. Furthermore, organizational readiness largely exhibits a positive moderating effect on the relationship between digital transformation and supply chain capabilities, whereas technology readiness not only fosters but also reinforces the relationship between digital transformation and innovation capabilities. These results offer an effective reference suggestion for fresh-cut flower companies in Yunnan Province and nationwide on how to enhance supply chain capabilities through digital transformation to improve their competitive advantages.

Enabling Innovative Governance: Ethical Leadership and Dynamic Capabilities in Government Digital Transformation

As governments face unprecedented technological disruption, understanding the enablers of administrative innovation becomes crucial. This study examines how ethical leadership fosters innovative behavior within government institutions across China’s western region, focusing on the interplay between leadership styles and dynamic capabilities. Data were collected through a survey targeting government officials in this region, employing a convenience sampling method. Over two months, two rounds of data collection were conducted, yielding 430 valid responses. Structural equation modeling was employed to analyze the data and test the hypotheses. The analysis reveals that ethical leadership not only directly promotes innovative behavior but also indirectly stimulates innovation by enhancing public service motivation ‒ a psychological mechanism that channels civil servants’ intrinsic drive toward creative problem-solving. Moreover, the study identifies knowledge management capability, a specific dynamic capability, as a critical moderating factor. Organizations with higher levels of knowledge management capability exhibit stronger positive effects of ethical leadership on innovation, suggesting that robust digital and intelligent infrastructures amplify the leadership’s impact. By exploring these complex dynamics, the findings provide actionable insights for advancing public sector innovation, emphasizing the importance of ethical leadership and organizational readiness in navigating digital transformation.

Disruption, adaptation, and maintenance of domestic violence services during the COVID-19 pandemic

ABSTRACT COVID-19 disrupted many aspects of domestic violence services including sheltering, in-person advocacy, and access to mental health, visitation, and legal services. Increased demand for services occurred concurrent with the highest levels of pandemic disruptions. Adaptations to many systems and services were made to address survivor’s changing needs. To understand how various aspects of service provision were disrupted during the pandemic, we surveyed a national census of U.S. based domestic violence direct service agencies. Email addresses were collected from online directories and each agency received a link to complete a survey using the online platform Qualtrics. The survey included five sections: services provided; work environment during COVID-19; disruptions caused by COVID-19; personal and organizational disaster preparedness; and demographics. Twenty-two percent of 1,341 agencies responded to the survey. At the start of the pandemic, the most disrupted services were legal and court, sheltering, and mental health/counselling services. Hazard pay, flexible scheduling, and additional information technology support were most frequently mentioned supports provided to mitigate disruptions and support providers and advocates. Disruptions and supports changed over the course of the pandemic. The COVID-19 pandemic disrupted the provision of services and advocacy to victims and survivors of domestic violence. Adaptations were made as new control measures were available (e.g. vaccines) and lessons learned were identified (e.g. successful implementation of virtual legal and court services). Maintaining supportive measures post-pandemic will require continued investment in this chronically underfunded, yet critical, sector and applying lessons learned from COVID-19 related disruptions and adaptations.

How Does Rapid Evolution in AI Industry Affect Competitive Strategy

Developments in the Artificial Intelligence sector are now so fast that they are rapidly changing their competitive strategies of businesses of all hues. This study examines the strategic adjustments by firms in response to AI development, using a two-pronged approach: through literature review and by case studies. The results suggest that proactive investment in AI technologies, strategic alignment of AI initiatives against business goals, and nurturing an innovative culture are recognized as critical enablers of competitive advantage and its sustainability. Case studies from a wide array of industries illustrate different degrees of success based on the nature of the readiness of organizations and their approach to the AI journey. Even though AI has a lot of benefits it has to be well articulated and implemented in the right manner. The work contributes to understanding the strategic consequences of AI-induced technological shifts and presents practical suggestions for how companies can succeed in the age of AI.

Exploring the Enablers for the Adoption of Blockchain in Nigerian Academic Libraries

This research investigates the elements that affect the adoption of blockchain technology in academic libraries in Nigeria, utilizing the Human, Organization, and Technology (HOT) Fit model. It emphasizes prior technology experience, attitudes towards change, support from top management, organizational preparedness, and perceived ease of integration and compatibility. Employing a quantitative methodology, data were gathered through structured surveys given to librarians, with relationships examined using structural equation modeling (SEM). The results indicate significant influences of prior technology experience (β = 0.32, p < 0.001), attitudes towards change (β = 0.29, p < 0.001), support from top management (β = 0.34, p < 0.001), organizational preparedness (β = 0.27, p < 0.001), and ease of integration (β = 0.31, p < 0.001) on the adoption of blockchain, while also identifying cost concerns and data security risks as major obstacles. This study broadens the application of the HOT Fit model to a novel context, providing a detailed framework for comprehending blockchain adoption in libraries and delivering actionable insights to enhance technology readiness and service provision. The findings make a valuable contribution to the literature by tackling cultural and infrastructural challenges, paving the way for future research on technology adoption in comparable settings.

ПРИМЕНЕНИЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В АНТИКРИЗИСНОМ УПРАВЛЕНИИ ОРГАНИЗАЦИЕЙ

In recent years, there has been active digitalization of various industries. One of the promising end-to-end technologies is artificial intelligence. The introduction of tools based on its application helps to optimize business processes and management, including anti-crisis management, which is especially sensitive to the speed and objectivity of decisions made. This is due to the dynamism of the external environment and the inefficiency of applying methods that made it possible to diagnose and resolve crises earlier in the new conditions. At the same time, there is a lag in the scientific and methodological base from the demands of practical activities. The article provides an overview of the opportunities provided by the use of artificial intelligence technologies for solving anti-crisis management problems (analysis of the external environment, internal potential, competitive advantages, strategic restructuring and a posteriori analysis of the causes of crisis situations). Special attention is paid to assessing the readiness of Russian organizations to implement the relevant tools. As a result of the study, the scale of AI use at the current stage of digital transformation was determined, as well as the prospects for its further development at various levels of management. Conclusions are made about the positive effects (increased speed, quality and objectivity of decisions taken, reduced costs of crisis management) of the use of new technologies, provided that they are comprehensively implemented taking into account risks.

Explore the drivers of e-commerce adoption by SMEs

This study investigates the impact of e-commerce on the performance of SMEs in Taiwan, focusing on key factors that drive successful adoption. The analysis considers management support, IT infrastructure, organizational readiness, and external environment factors. Multiple regression analysis was conducted to test the hypotheses. Findings indicate that management support is the primary driver of e-commerce adoption, followed by IT infrastructure and organizational readiness, while the external environment has a smaller effect. Positive managerial attitudes, technological improvements, and organizational resource readiness are essential for e-commerce adoption. Government policies, socio-cultural alignment, and an effective legal framework also play significant roles. These findings provide insights for business managers and recommendations for policymakers to support SME growth in the digital economy.

Organizational readiness and implementation of colorectal cancer screening evidence-based interventions in federally qualified health centers: A cross-sectional study

Organizational readiness and implementation of colorectal cancer screening evidence-based interventions in federally qualified health centers: A cross-sectional study

The Role of Managerial Competencies in Driving Industry 4.0 Adoption: A Comparative Study of Thailand and Vietnam’s Manufacturing Sectors

This study investigates the influence of Top Management Team Competencies (TMTCs) and Middle-Tier Managers’ Competencies (MMCs) on the intention to adopt Industry 4.0 (I4.0) technologies in Thailand and Vietnam. Utilizing a quantitative approach with Partial Least Squares Structural Equation Modeling (PLS-SEM), data from 100 manufacturing firms reveal the critical roles of Industry 4.0 readiness level (RL) and perceived usefulness (PU) as mediators in these relationships. The findings highlight that while TMTC significantly enhances organizational readiness, its direct impact on adoption intention is non-significant. Conversely, MMC directly influences both PU and adoption intention, emphasizing the practical role of middle management in bridging strategic vision and operational execution. RL mediates the effects of TMTC on I4.0 adoption intention, whereas PU does not mediate the relationship between TMTC and adoption intention. These insights contribute to the literature on digital transformation, particularly in emerging economies, by identifying distinct managerial roles and the importance of readiness in driving adoption. This study underscores the need for tailored competency development among top and middle managers to foster successful I4.0 adoption and suggests further research into organizational culture, external support, and regional variations.

Perspectives on managing innovation readiness in long-term care: a Q-methodology study

BackgroundThe scarcity of resources in long-term care demands more than ever that organizations in this sector are prepared for innovation to ensure affordable access to care for older adults. Organizations that are innovation ready are more capable of implementing innovations. Therefore, a better understanding of how stakeholders view innovation readiness in long-term care can provide actionable strategies to enhance their innovative capacities. ‘Innovation readiness’ indicates the level of maturity of an organization to succeed in any type of innovation. Our study explored perspectives among stakeholders on what they consider important for organizations in long-term care for older adults to be innovation ready.MethodsQ-methodology, a mixed-methods approach, was used to investigate the perspectives of 30 stakeholders connected to long-term care for older adults in the Netherlands: academics, (top)management, innovation managers, client representatives, staff, and consultants. Stakeholders were asked to rank 36 statements on innovation readiness on importance. Statements were extracted from literature research and qualitative interviews. Thereafter in the post-interviews stakeholders explained their ranking and reflected on the statements. By-person factor analysis was used to identify clusters in the ranking data. Together with the qualitative data from follow-up interviews, these clusters were interpreted and described as perspectives of the stakeholders.ResultsFour distinct perspectives were identified on what they consider important for innovation readiness in long-term care: (1) ‘supportive role of management’ (2) ‘participation of the client (system) and employees’ (3) ‘setting the course and creating conditions’ and (4) ‘structuring decision-making, roles and responsibilities’. The 36 statements represented a complete overview of innovation readiness factors. No additional innovation factors to those previously identified in the literature emerged from the interviews.ConclusionsStakeholders agree that all factors contributing to innovation readiness of long-term care organizations for older adults are accounted for. The variety of perspectives on what is most important shows there is no agreement among stakeholders about a fixed route toward innovation readiness. However, stakeholders suggested a temporal order of the innovation readiness factors, preferably starting with formulating the innovation ambition. This study’s results could contribute to developing an assessment tool to deliver a structured approach for managers to assess the innovation readiness of their organization.RegistrationThe study received ethical approval on April 13, 2022 from the Medical Ethics Board of Zuyderland Medical Center in the Netherlands with the number METCZ20220036.

Examining patient safety protocols amidst the rise of digital health and telemedicine: nurses’ perspectives

BackgroundIntegrating digital health and telemedicine technologies is transforming healthcare delivery. In light of this transition, it is critical to ascertain the efficacy of patient safety protocols and evaluate the awareness of healthcare professionals, particularly nurses, regarding the integration of digital health technologies.AimThis study examines the factors influencing the successful adoption of digital health and telemedicine technologies from the nurses’ perspective, focusing on ensuring patient safety and enhancing organizational readiness for digital health integration.MethodsA cross-sectional study included 246 nurses from outpatient healthcare centers in Egypt. The data collected included demographic information and responses to a series of questionnaires, namely the Patient Safety Culture Survey (PSCS), the Telemedicine Risk Assessment and Mitigation Matrix (TRAMM), the Digital Health Adoption Readiness Assessment (DHARA), and the Digital Health Impact Assessment Tool (DHIA). The descriptive statistical analyses were conducted using the IBM SPSS Statistics software, version 26.ResultsThe sample was predominantly composed of nurses aged 18–35 (40.65%) and 36–55 (44.72%), with a near-equal gender distribution (48.78% male, 51.22% female). Most nurses held college degrees (73.17%) and were familiar with telemedicine (73.17%). The PSCS indicated positive scores for Communication Openness (4.5), Leadership Support (4.2), Teamwork (4.3), and Organizational Learning (4.1), with an overall mean score of 4.275. The TRAMM scores were notably high (total mean score 4.9), indicating effective risk management. The DHARA demonstrated considerable preparedness, as evidenced by a Total Mean Score of 7.85. The DHIA further substantiated this readiness, indicating a robust anticipated impact, particularly in Patient Engagement (9.0) and Usability (8.2).ConclusionThe favorable assessment scores indicate a strong awareness of integrating digital health and telemedicine, suggesting the potential for enhanced patient care and healthcare delivery. It is recommended that healthcare organizations prioritize providing ongoing training and support for nurses, enabling them to utilize digital health tools and thereby enhance patient safety effectively.Clinical trial numberNot applicable.

Facilitators and barriers to AI adoption in nursing practice: a qualitative study of registered nurses' perspectives

BackgroundIntegrating Artificial Intelligence (AI) in nursing practice is revolutionising healthcare by enhancing clinical decision-making and patient care. However, the adoption of AI by registered nurses, especially in varied healthcare settings such as Saudi Arabia, remains underexplored. Understanding the facilitators and barriers from the perspective of frontline nurses is crucial for successful AI implementation.AimThis study aimed to explore registered nurses' perspectives on the facilitators and barriers to AI adoption in nursing practice in Saudi Arabia and to propose an extended Technology Acceptance Model for AI in Nursing (TAM-AIN).MethodsA qualitative study utilising focus group discussions was conducted with 48 registered nurses from four major healthcare facilities in Al-Kharj, Saudi Arabia. Thematic analysis, guided by the Technology Acceptance Model framework, was employed to analyse the data.ResultsKey facilitators of AI adoption included perceived benefits to patient care (85%), strong organisational support (70%), and comprehensive training programs (75%). Primary barriers involved technical challenges (60%), ethical concerns regarding patient privacy (55%), and fears of job displacement (45%). These findings led to the development of TAM-AIN, an extended model that incorporates additional constructs such as ethical alignment, organisational readiness, and perceived threats to professional autonomy.ConclusionsAI adoption in nursing practice requires a holistic approach that addresses technical, educational, ethical, and organisational challenges. The proposed TAM-AIN offers a comprehensive framework for optimising AI integration into nursing practice, emphasising the importance of nurse-centred implementation strategies. This model provides healthcare institutions and policymakers with a robust tool to facilitate successful AI adoption and enhance patient outcomes.

Analisis Kesiapan Implementasi Rekam Medis Elektronik di Klinik Pratama Simpang Lima Husada

The Ministry of Health is committed to transforming the health system, including the transformation of health technology. One of these technological developments is Electronic Medical Records (EMR). The purpose of this study was to determine the readiness of EMR implementation at Simpang Lima Husada Primary Clinic. This study used the CAFP EHR Readiness Assessment instrument to assess the readiness of EMR implementation so as to improve service quality and workflow efficiency. This type of research is descriptive qualitative research. Informants were determined by purposive sampling technique on 14 respondents. The results of the Management Capacity readiness study obtained a score of 15, which is at level III, which means that management capacity is very ready. The readiness of Financial and Budgetary Capacity and Operational Capacity received a score of 12 at level II, indicating a fairly good cost analysis and sufficient staff and infrastructure capacity. Technology Capacity Readiness received a score of 28, which is at level II, indicating that information technology readiness is adequate. Organizational Capacity Readiness scored 28 at level II indicating a fairly good understanding of the value of EMR. Overall, Simpang Lima Husada Primary Clinic scored 95 out of a score range of 44-96 (level II) indicating it is quite ready to implement EMR based on the CAFP EHR Readiness Assessment.

Conditions for the Formation of Organizational Readiness of the Teaching Staff for Changes in an Educational Organization

Introduction. A significant factor in the development of an educational organization is always its ability to quickly adapt to changes in the external and internal environment, which is determined by the flexibility of the manager’s decisions, the organizational readiness of teaching staff for changes, the level of professional competence, motivation, creativity, active development of innovations. The purpose of the article is to substantiate a set of pedagogical conditions for the formation of organizational readiness of the teaching staff for changes in an educational organization. Methodology. The methodological basis of the study was systemic (I. V. Blauberg, E. G. Yudin), competency-based (A. V. Khutorskoy, I. A. Zimnyaya), situational (P. Lawrence, J. Lorsch) approaches. The theoretical basis of the study was: the concept of organizational readiness for change; analysis of the school as a social organization. To achieve the goal of the study, the authors used theoretical (analysis of scientific literature, sources on the topic, comparison, generalization, abstraction), empirical (analysis of products of management activities, survey, observation) methods. Applied research was carried out on the basis of MAOU Secondary School No. 77 in Novosibirsk. Results. A set of pedagogical conditions for the formation of organizational readiness of the teaching staff for changes in an educational organization has been developed. The complex includes organizational, pedagogical, psychological, pedagogical, and methodological conditions. Conclusion. It has been confirmed that the formation of organizational readiness of the teaching staff for changes in an educational organization will be successful if the strategic goal of development of the educational organization is accepted by the teaching staff; the teaching staff has a conscious attitude towards prerequisites and needs for positive changes, effective communications have been established; coordinated management actions are carried out; a creative approach to solving professional problems is activated.

Managerial Mechanisms for the Implementation of Continuity in the Training of Future Primary School Teachers in the College–University System

The article presents an analysis of the problem of succession and one’s own managerial and pedagogical experience in its implementation in the training of future primary school teachers in the college-university system. The purpose of the article is to analyze the possibilities and management mechanisms for implementing continuity in the training of future primary school teachers in the college – university system using the example of the experience of the Faculty of Psychology and Pedagogy of the Kuzbass Humanitarian Pedagogical Institute of Kemerovo State University. The methodological basis of the research is the pedagogical principles of continuity in education and lifelong education. Based on the strategic planning method of SWOT–analysis, an assessment of the readiness of an educational organization of higher education to implement continuity in the pedagogical college – university system was carried out. The strengths of the university and objective opportunities available for this process are highlighted, weaknesses and external threats are analyzed. The management mechanisms for the implementation of the principle of continuity at two levels of professional education are considered. In conclusion, it is concluded that the implementation of continuity in the training of future teachers in the college – university system involves the use of management mechanisms representing a sequence of organizational and methodological actions. At the same time, the development of the learning process at the stage of mastering the higher education program is carried out in dialectical connection with the previous level of education and at the same time in accordance with the current goals, objectives, requirements for the training of a modern primary school teacher and conditions.

Holacracy and Organizational Performance

This meta-analysis explores the impact of Holacracy on organizational performance across various business models, examining case studies of 15 companies that have adopted this innovative management approach. Holacracy, characterized by its decentralized decision-making and role-based governance, aims to enhance agility, employee engagement, and operational efficiency. The study investigates whether the positive outcomes associated with Holacracy are universally applicable or contingent upon specific organizational factors such as culture, leadership, and employee readiness. Through a systematic review of literature and empirical case studies, the analysis reveals that while Holacracy can significantly improve organizational performance by an average of 30%, its success is not guaranteed and depends on the contextual alignment of the implementing organization. Key findings indicate that organizations with a supportive culture, proactive leadership, and well-prepared employees are more likely to realize the benefits of Holacracy, with performance improvements observed in 70% of the cases studied. Conversely, challenges such as resistance to change and role ambiguity can hinder successful implementation, affecting up to 40% of organizations attempting to adopt this model. This research contributes to the existing body of knowledge on Holacracy by providing insights into the mechanisms through which it affects performance and highlighting the critical factors that influence its effectiveness. The findings offer valuable implications for organizations considering Holacracy as a management strategy, emphasizing the need for thorough assessments of organizational readiness and cultural alignment before implementation.

Potential factors affecting organizational readiness for the industry 5.0 for the Sri Lankan apparel industry: a systematic literature review

5.0 in the apparel sector represents a transformative shift towards a human-centric and sustainable production model compared to Industry 4.0, which mainly focuses on technology-driven digitization. By leveraging advanced technologies including artificial intelligence (AI), robotics, and the Internet of Things (IoT), Industry 5.0 enables hyper-customization, real-time data analysis, and seamless integration of human expertise with machine capabilities. This shift enhances product quality, optimizes resource utilization, and prioritizes ethical manufacturing practices, focusing on both worker well-being and environmental responsibility. These changes fundamentally redefine the garment production landscape, positioning the industry for long-term sustainability and competitiveness.This systematic literature review (SLR) aims to identify the key readiness potential factors influencing the Sri Lankan apparel industry's transition to Industry 5.0. Specifically, the research explores the domains affecting readiness, including technological advancements, human-machine collaboration, sustainability practices, and resilience within the supply chain. The findings reveal that the Sri Lankan apparel industry is transitioning from Industry 4.0 to Industry 5.0, focusing on human-machine collaboration, integrating AI and robotics, and enhancing sustainability efforts. The readiness potential factors in this transition are categorized into four main domains human-centric, sustainability, resilience, and technological advancements. Despite notable progress in automation and sustainable practices, gaps persist, particularly in fully realizing human-machine collaboration and achieving complete supply chain transparency. Finally, this acknowledges certain limitations and suggests areas for future research.

Exploring the Organizational Readiness for AI Automotive After-Sales Services: A Systematic Literature Review

Exploring the Organizational Readiness for AI Automotive After-Sales Services: A Systematic Literature Review

Adopting artificial intelligence in Kenyan academic libraries: analyzing through the technology-organization-environment framework

PurposeThe main aim of the paper was to determine the effect of Technology–Organization–Environment (TOE) Framework on adoption of artificial intelligence (AI) in Kenyan academic libraries anchored on diffusion innovation and TOE theories.Design/methodology/approachThe target population comprised of 517 librarians, deputy librarian, and senior staff from 98 academic libraries from institutions of higher learning in Kenya. The study used stratified and random technique to sample 226 respondents.FindingsFindings showed that technology factors (relative advantages, compatibility, and complexity) and environmental factors (regulatory environment, competitive pressure, and vendor partnership) positively affect adoption of AI in Kenyan academic libraries. However, organizational factors (firm size, top management support, and organizational readiness) had insignificant effect on adoption of AI in Kenyan academic libraries.Research limitations/implicationsThe study underscores the necessity of proactive policy measures and managerial decisions to drive AI adoption in academic libraries. Policymakers must prioritize investments in training and resources to enhance staff readiness and create supportive regulatory environments. Library administrators play a pivotal role in demonstrating leadership support and effectively allocating resources to overcome implementation challenges. Tailoring adoption strategies to individual library needs and fostering collaboration between policymakers and administrators are critical for successful AI integration.Originality/valueOther studies that have been done on application of AI in academic libraries have taken broader approach but this study narrows its focus to highlighting the pivotal influence of technological factors on AI adoption in academic libraries, recognizing the benefits and obstacles inherent in integration.