Implementation Critical Factors Research Articles

Empirical Analysis of Critical Success Factors for Mechatronics Implementation in Architecture, Engineering, Construction and Operations Projects in Nigeria

The Fourth Industrial Revolution (4IR) has ushered in a new era of technological advancements that are transforming industries worldwide. One such technology that is revolutionizing the construction industry is mechatronics, which has the propensity to enhance the operations, activities, productivity and efficiency of the sector’s activities. Despite the numerous advantages of mechatronic technologies, their successful implementation in the context of developing countries poses unique challenges and considerations. Therefore, this study seeks to identify and evaluate the critical success factors (CSFs) for mechatronics implementation in architecture, engineering, construction and operations (AECO) projects. Existing CSFs were extracted from extant studies, which helped formulate the questionnaire disseminated to 372 construction professionals in Nigeria, including architects, builders, quantity surveyors, and engineers (mechanical, civil, electrical). The methodology also employed exploratory factor analysis (EFA), which facilitated the identification of key themes within the data. Through this application, six clusters of CSFs were revealed: organizational factors, financial considerations, technological aspects, collaboration and knowledge sharing, regulatory and policy factors, and sustainability and environmental considerations. From a theoretical perspective, the identified clusters of critical success factors provide a comprehensive framework that encompasses various dimensions of successful mechatronics adoption in the Nigerian construction industry. This study advances scientific knowledge on CSFs for the adoption of mechatronic technologies in the Nigerian construction industry, providing a comprehensive understanding of the factors that drive successful implementation. For policymakers, this study’s findings will be invaluable in shaping supportive policies and strategies that foster the widespread adoption of mechatronics in the construction sector.

AN EVALUATION OF THE EFFECTIVENESS OF THE PROVISION OF LAND USE POLICY FOR BUILDING HOUSES IN RURAL BANGLADESH

The paper provides a comprehensive evaluation of the national land use policy in Bangladesh, highlighting the gaps in implementation and the need for strategic improvements for building houses using minimum agricultural land in rural areas of Bangladesh. The main objectives of the policy evaluation research are to explore the extent of the intervention of the National Land Use Policy 2001 that has achieved the objective of minimum use of agricultural land, to determine whether the authority has made the rural people aware of building model houses, multistorey buildings, and planned residential areas in the village and finally to find out the critical factors for effective implementation of national land use policy. It has been used as a mixed evaluation research method with both qualitative and quantitative approaches. Data were collected online using a semistructured questionnaire and checklist for respondent interviews. The main results of the policy evaluation revealed that the objectives of the policy are not achieved and effectively implemented for numerous reasons as such, the implementers are reluctant to implement and make aware the villagers, responsible implementing agencies are not fully well-defined, people are unaware and do not know about the policy, lack of village development planning and design, overpopulation and segregation of families, poverty, lack of monitoring by the ministry, unorganized urbanization and industrialization, local political influence, absence of land zoning and union parishad are unwilling to enforce their laws, etc. To implement the policy effectively, a joint effort of the local government bodies, local communities, and all local administration departments would be required, and each organization’s role would be well classified, and payment or loan support would be transferred to the rural people of Bangladesh.

Optimizing pharmaceutical supply chain management through AI-driven predictive analytics: A conceptual framework

The pharmaceutical supply chain is a complex, multi-layered system that faces unique challenges, including fluctuating demand, stringent regulatory requirements, and logistical constraints. This paper explores the role of AI-driven predictive analytics in optimizing pharmaceutical supply chain management, presenting a conceptual framework that enables companies to leverage advanced data analytics for improved decision-making, risk management, and operational efficiency. Key AI techniques, such as machine learning, data mining, and predictive demand forecasting, are discussed as tools for addressing critical supply chain issues, including inventory optimization, demand variability, and regulatory compliance. The proposed framework details essential components—data collection, processing, integration with existing systems, and real-time decision-making—and outlines critical success factors for effective implementation. By offering insights into the transformative potential of predictive analytics, this paper provides actionable recommendations for pharmaceutical companies seeking to build resilient and responsive supply chains. Future research directions are also proposed, emphasizing the need for adaptable predictive models and the ethical implications of AI applications in pharmaceuticals. Keywords: Pharmaceutical Supply Chain, AI-driven Predictive Analytics, Machine Learning, Demand Forecasting, Inventory Optimization, Regulatory Compliance.

Implementation of ERAS Protocols: In Theory and Practice.

The enhanced recovery after surgery (ERAS) pathway is a perioperative care pathway intended to facilitate early recovery and minimize hospital stays among patients undergoing major surgery. Critical factors for successful ERAS implementation, which may vary depending on care processes, include a multidisciplinary team, organizational commitment to change, and a real-time system for compliance and outcome audits. As most clinicians and health organizations can attest, incorporating and implementing new evidence-based practice changes almost always involves overcoming systemic challenges and obstacles. The same holds true for ERAS programs. The main barriers to ERAS protocol implementation have been resistance to change, lack of time and resources, and inadequate communication and coordination among departments. According to evidence-based ERAS guidelines, the best way to efficiently implement all recommendations into practice is to discover. Implementation science aims to identify and address care gaps, support change in practice, and enhance healthcare quality. Implementation research should also build a robust and generalizable evidence base to inform implementation practice. Most implementation investigations focus on one of two approaches to achieving change. Implementation can progress through top-down or bottom-up processes depending on factors such as national policies, organizational properties, or the implementation culture of society, especially for health issues. Although the ERAS guidelines are based on evidence-based knowledge, only a limited number of health centers around the world have officially been able to implement them. The purpose of this review is to analyze the implementation of the ERAS pathways in theory and practice in Turkey, considering the absence of an ERAS-qualified center in Turkey.

Climate-sensitive training for sustainable business in Dickson County with global applications

Purpose This paper aims to examine the implementation and impact of climate-sensitive training programs tailored to the specific climate risks and business needs of Dickson County, Tennessee. It aims to emphasize the importance of integrating climate adaptation strategies into business training and to propose a replicable model that can be adapted to regions facing similar challenges, contributing to global sustainability efforts. Design/methodology/approach The research uses Dickson County’s climate profile as a case study, analyzing its impact on local businesses in sectors such as agriculture, manufacturing and tourism. This paper integrates theoretical frameworks, including organizational learning and adaptive capacity, to provide practical strategies for climate-sensitive training. It further incorporates insights from local institutions, industry partnerships and public data, using a qualitative approach to analyze key themes related to training effectiveness and sustainability. Findings The findings demonstrate that climate-sensitive training significantly enhances the resilience and sustainability of businesses by preparing them to address local climate challenges. Critical factors for successful implementation include stakeholder engagement, industry-specific customization and the continuous evaluation of training outcomes. The model presented shows promise for broader applicability in other regions, especially when localized climate data and collaborative efforts are integrated. Originality/value This paper provides a novel, region-specific approach to climate-sensitive training, distinguishing itself by combining theoretical insights with practical strategies for businesses. By focusing on localized adaptation and stakeholder collaboration, the model addresses an existing gap in the literature on climate adaptation training for smaller, climate-vulnerable regions. This work offers a replicable and scalable framework that contributes to the global discourse on sustainable development and climate resilience in business practices.

From Disruption to Continuity: Understanding Organizational Resilience Strategies in the Face of Technological Change

In today's rapidly evolving technological landscape, organizations face significant challenges that can disrupt their operations, supply chains, and overall stability. This study examines how organizations manage technological disruptions by exploring the resilience strategies they employ and evaluating their effectiveness across different industries and organizational contexts. Drawing on resilience theory, crisis management literature, and organizational studies, the research adopts a mixed-methods approach that includes in-depth case studies, qualitative interviews with industry experts, and quantitative analysis of organizational performance data. The primary objectives of this study are to identify key resilience strategies, assess their effectiveness in diverse organizational settings, and determine the factors that influence successful implementation. By integrating insights from real-world examples and theoretical frameworks, the research aims to provide a comprehensive understanding of how organizations can better prepare for and respond to technological disruptions. The findings are expected to reveal critical implementation factors such as leadership support, organizational culture, and resource allocation, which are essential for fostering a resilient organizational environment. Ultimately, this study offers actionable recommendations for practitioners seeking to enhance their resilience capabilities. These recommendations will serve as a guide for developing robust resilience strategies, cultivating a culture of adaptability, and overcoming challenges associated with technological disruptions. The study contributes to the broader discourse on organizational resilience, providing valuable insights for both academic research and practical application in an increasingly uncertain technological environment.

A study on critical failure factors for implementation of sustainable Lean Six Sigma from Indian manufacturing industries perspective using BWM technique

A study on critical failure factors for implementation of sustainable Lean Six Sigma from Indian manufacturing industries perspective using BWM technique

Industry 4.0 technologies: an examination of benefits, challenges and critical success factors for implementation in the Saudi construction industry

Purpose The construction industry is witnessing a paradigm shift as a consequence of the fourth industrial revolution (IR 4.0). The implementation of IR4.0 technologies is, however, elementary in emerging economies such as Saudi Arabia. Therefore, the purpose of this paper is to carry out an examination of benefits, challenges and critical success factors for IR4.0 implementation in the construction industry in Saudi Arabia. Design/methodology/approach The methodology entailed a thorough review of the extant literature and consultation with experienced construction professionals in Saudi Arabia through questionnaire surveys. The data collected was further analyzed using the relative importance index approach and the confirmatory factor analysis. Findings The most important benefits, challenges and critical success factors established by this study include “Improved Communication and Coordination,” “Cost of implementation (initial investment and maintenance)” and “Clear goals and objectives,” respectively. Confirmatory factor analysis established a theoretical model to serve as a foundation for IR4.0 adoption in the Saudi construction industry. Research limitations/implications The limitations may be perceived in terms of the local context of the research, as well as the sample size. This prevents the potential for generalization of the study’s results. Practical implications It is of practical value to the Saudi construction industry in facilitating the successful implementation of technology through policies, frameworks and best practice guidance. Originality/value The study advances the theoretical knowledge of technology implementation in the construction industry. Emerging economies such as Saudi Arabia seeking to leverage the capabilities of digital technologies will find the results of this to be of crucial value.

Reassessing Critical Success Factors for ERP Implementation in the Digital Era

This paper examines the recent evolution of Enterprise Resource Planning (ERP) systems and explores the critical success factors (CSFs) for project implementation in the digital age. Adopting a qualitative inductive approach, the article first reports on CSFs evident in relevant literature drawn from the past two decades. In the second research phase, interview feedback from nine industry project managers is analysed to identify the CSFs now considered of particular relevance in the digital era. The article concludes that many of the established CSFs remain relevant, but recent research suggests the deployment of digital technologies and the availability of the cloud for ERP operation will mean that CSFs will be re-formulated in new technology and business environments. CSFs related to cloud-based vs on-premise software operation, system configuration and functionality trade-offs, and the integration of digital technologies into ERP products, are likely to emerge in the digital era. Future studies could profitably focus on these largely unresearched aspects of ERP projects, to which this article makes a small contribution that may provide a useful point of reference for subsequent studies.

Evaluation of critical success factors for successful implementation of Lean Six Sigma in Small and Medium Enterprises (SMEs) in India

ABSTRACT This research delves into the landscape of India’s small and medium-sized enterprises (SMEs) sector, which plays a pivotal role in the nation’s economic progress. The challenges for SMEs include limited access to financial resources, constrained reserves, and the competition posed by more giant corporations. To comprehend the obstacles hindering the development and sustained growth of Indian SMEs, it becomes imperative to formulate policies and strategies. Recognising the latent potential of SMEs to foster innovation, create employment opportunities, and contribute significantly to overall economic growth becomes paramount. SMEs form the backbone of various economies, including India’s, and comprehending the sector’s challenges and opportunities in a changing commercial milieu assumes critical importance. In the context of India, this study explores the catalysts driving transformations in the corporate sphere, encompassing factors like globalisation, technological strides, evolving consumer preferences, and governmental regulations. Furthermore, it highlights the hurdles and opportunities confronting SMEs in this scenario – challenges related to securing funding, acquiring talents, adopting advanced technologies, and penetrating new marketplaces. Incorporating the perspective of Lean Six Sigma for its capacity to enhance efficiency and quality can significantly enrich this research. Lean Six Sigma’s relevance to the factors lies in its potential to streamline operations, reduce waste, and improve overall processes. Integrating Lean Six Sigma principles into the discourse could provide invaluable insights into India’s SME sector, offering guidance to policymakers, CEOs, and stakeholders in making informed decisions that facilitate the growth and progression of this vital sector.

Making AI Work for Government: Critical Success Factor Analysis Using R-SWARA

This study quantifies what makes Artificial Intelligence (AI) work for government, the critical success factors (CSFs) for successful AI implementation within the Directorate General of Taxes (DGT). Analyzing factors such as technology, organization, process, and environment, the research highlights the importance of organizational readiness, strategic vision, and leadership support to drive successful AI integration within DGT. The dimension of the organization became the most critical factor, followed by technology, process, and environment. The findings offer actionable insights for DGT's decision-making processes, aiding in strategic resource allocation and tailored AI strategy refinement. Furthermore, this research is a valuable reference for other public sector organizations that aim to enhance operational efficiency through the adoption of AI. This study empowers decision makers within the DGT and the wider public sector by providing nuanced information on the critical factors that influence the successful implementation of AI, fostering improved operational efficiency and governance practices.

Education 4.0 unravelled: deciphering critical success factors for successful implementation

Education 4.0 unravelled: deciphering critical success factors for successful implementation

Impact of Critical Success Factors on International ISO Accreditation for the Botswana Public Health Laboratories

The purpose of this study is to identify critical success factors and their impact on implementation of quality management system at selected Public Health Laboratories in Botswana. The study population was from the targeted seven accredited Public Health Laboratories in Botswana. Data on critical success factors was collected using a questionnaire. The questions were based on the critical success factors for implementation of total quality management identified during the literature review. Ten Critical Success Factors for successful implementation of the quality management system were rated by a group of questions using a five point Likert scale method. The 5-point Likert scale includes the items: strongly agree, agree, neutral, disagree, and strongly disagree. Strongly agree was assigned a score of 5, agree is assigned a score of 4, neutral is assigned a score of 3, disagree is assigned a score of 2 and strongly disagree a score of 1. The mean of the assigned ratings is 3.0. Critical success factors which score mean greater than 3.0 will be classified as agree while those mean less than 3.0 will be classified as disagree. All the ten critical success factors had a mean above of 3.0, with a range of 4.77 to 3.57. All the ten success factors were deemed critical; Employee empowerment Strategic quality planning, Process management, Performance management, Quality culture, Management and leadership, Training, Supplier Management, Customer focus, Information analysis.

Barriers To Implementation of Quality Management Systems (Qms), of Accredited Public Health Laboratories, In Botswana

The purpose of this study is to identify factors that hinders the implementation of Quality Management Systems(QMS)in selected Public Health Laboratories. The study population was from the targeted seven accredited Public Health Laboratories in Botswana. Data on critical success factors and their respective elements was collected using a questionnaire. The questions were based on the critical success factors for implementation of total quality management identified during the literature review. Ten Critical Success Factors were rated by a group of questions using a five point Likert scale method. Strongly agree was assigned a score of 5, agree is assigned a score of 4, neutral is assigned a score of 3, disagree is assigned a score of 2 and strongly disagree a score of 1. The mean of the assigned ratings is 3.0. Critical success factors which score mean greater than 3.0 will be classified as agree while those mean less than 3.0 will be classified as disagree. All the ten success factors were deemed critical but four of the critical factors had elements that were regarded as barriers to QMS implementation. The ten critical success factors identified were;Employee empowerment Strategic quality planning, Process management, Performance management, Quality culture, Management and leadership, Training, Supplier Management, Customer focus and Information analysis. On the contrary, four critical success factors had elements that scored less than 3.5 mean, so the elements were regarded as barriers to QMS implementation; Effective communication between management and employees, Staff compensation not linked to achieving quality goals, Employees are rewarded for their performance and Employees not taking part in evaluating suppliers.

Identifying Critical Success Factors (CSF) in ERP Implementation Using AHP

Enterprise resource planning (ERP) implementations often encounter multifaceted challenges, leading to failures. Success relies on technical competence, management support, and user engagement. Unique organizational processes significantly influence outcomes. Failures can disrupt operations, highlighting the need to identify critical success factors (CSFs) for effective ERP implementation. This study employed analytic hierarchy process (AHP) methodology to analyze CSFs. Data collection involved surveys administered to a social insurance company's ERP project team in Indonesia. This study revealed 15 success factors, categorized into organization, process, and technology dimensions. Organization emerged as the most crucial, followed by technology and process. Among these, five CSFs stood out: project team competence, vendor and consultant quality, ERP fit, top management support, and hardware and software selection.

EFFECTIVE STRATEGY IMPLEMENTATION: A LITERATURE REVIEW OF SUCCESS FACTORS IN PUBLIC SECTOR

This study aimed to conduct a literature review of factors critical to strategy implementation in public sector from empirical studies conducted between 2015 and 2024 with the objective to identify and establish such factors to enhance effective strategy implementation in public sector. Scholarly articles on the subject matter from 2015 to 2024 which were available under open access were well-thought-out and afterward carefully selected from notable scholarly publications using scholarly database search engines, namely; Emarald, Research Gate and Google Scholar. After initial search, screening and thorough review, thirty-eight articles were included for further analysis in relation to the context of this study. In the order of frequency of appearance; the study has found that leadership, communication, skills availability, alignment, organization structure, organization culture and engagement carry much weight in enabling successful strategy implementation in public sector. The findings of this study therefore provide theoretical contribution on the development of a model for effective strategy implementation in public sector, and further assist public sector practitioners by providing them with the focus areas should they wish to experience successful implementation of their strategies. Since this study was only a literature review of empirical studies to identify and establish critical factors for successful strategy implementation in public sector, future studies may be conducted on how the identified success factors fit into a complete strategy execution model to effectively address strategy implementation gap in the public sector.

DEMENTIA INTERVENTION STAFF AND CAREGIVER PERSPECTIVES ON THE DELIVERY OF ADS PLUS

Abstract Interventions targeting persons living with dementia (PLWDs) provide an optimal touchpoint in the service delivery continuum for addressing the growing unmet needs of unpaid/family dementia caregivers. Services such as Adult Day Services (ADS) that generally target PLWDs can be enhanced by embedding an intervention that specifically targets informal caregivers. In a trial evaluating the ADS Plus intervention, open-ended feedback from ADS intervention staff and participants provided insights to improve the administrative, programmatic, and user experience of ADS Plus. Drawing on individual qualitative interviews (n=24), we conducted a thematic analysis revealing insights into the critical implementation factors supporting the effective delivery of ADS Plus. Identified themes included: 1) the relational, or person-centered, nature of the ADS Plus program, 2) the role of learning throughout implementation, 3) the influence of administrative structure on program delivery, and 4) contributors to the acceptability of ADS Plus. Our findings suggest that caregivers draw on multiple supports but that individually tailored supports for dementia care management must address the emotional needs of caregivers through relational intervention models. The effective delivery of ADS Plus was facilitated by perceived intervention benefits to caregivers, robust yet reasonable training for intervention staff, and the opportunity for adaptability in program delivery.

The analysis of critical success factors for successful kaizen implementation during the COVID-19 pandemic: a textile industry case study

PurposeThe primary objective of this research is to determine critical success factors (CSFs) that enable textile enterprises to effectively implement Kaizen, a Japanese concept of continuous development, particularly during disruptive situations. The study aims to provide insights into how Kaizen is specifically employed within the textile sector and to offer guidance for addressing future crises.Design/methodology/approachThis study employs a structured approach to determine CSFs for successful Kaizen implementation in the textile industry. The Triple Helix Actors structure, comprising business, academia and government representatives, is utilized to uncover essential insights. Additionally, the Matriced Impacts Croises-Multiplication Applique and Classement (MICMAC) analysis and interpretative structural modeling (ISM) techniques are applied to evaluate the influence of CSFs.FindingsThe research identifies 17 CSFs for successful Kaizen implementation in the textile industry through a comprehensive literature review and expert input. These factors are organized into a hierarchical structure with 5 distinct levels. Additionally, the application of the MICMAC analysis reveals three clusters of CSFs: linkage, dependent and independent, highlighting their interdependencies and impact.Originality/valueMajor contribution of this study is understanding how Kaizen can be effectively utilized in the textile industry, especially during disruptive events. The combination of the Triple Helix Actors structure, MICMAC analysis and ISM provides a unique perspective on the essential factors driving successful Kaizen implementation. The identification of CSFs and their categorization into clusters offer valuable insights for practitioners, policymakers and academia seeking to enhance the resilience and sustainability of the textile industry.

Model of Critical Success Factors for Agile Information Technology Project in Indonesia using Analytic Hierarchy Process (AHP)

The implementation of Agile shows rapid development. For business continuity, organizations apply Agile in building innovative products according to market conditions The implementation of Agile shows rapid development. For business continuity, organizations apply Agile in building innovative products according to market conditions. Agile implementation in Indonesian IT projects faces problems include cultural constraints, lack of education/training, unclear guidelines, limited Agile mindset understanding, and insufficient management support. This study aims to solve these problems by exploring success factors of Agile projects with the analytic hierarchy process (AHP) model to help organizations in making Agile implementation strategies for their projects. A qualitative approach is used as a research method to confirm CSF by experts and practitioners, while a quantitative process is used to perform AHP calculations. The research identified critical success factors for Agile project implementation, including management support, competent project teams, organization-specific guidelines for processes and procedures, adaptive organizational culture, Agile training and coaching for team members, and a clear product roadmap. This research makes significant contributions to both the academic and practical domains. In academia, it serves as a valuable reference for critical success factors (CSFs) in the Agile field. In practical terms, it offers valuable insights for organizations in Indonesia, aiding them in effectively planning and implementing Agile methodologies

Priority setting for non-communicable disease prevention – Co-producing a regulatory agenda informing novel codes of practice in Australia

There are a range of priority setting methods for non-communicable disease (NCDs) prevention. However, existing methods are often designed without detailed consideration of local context and political economy– critical success factors for implementation. In Australia, codes of practice under state government Public Health Acts could be used for NCD prevention. To inform the potential development of codes of practice under Public Health Acts, this study aimed to co-create a priority setting framework that accounts for local context and the prevailing regulatory agenda. A priority setting framework was co-produced by a multidisciplinary technical advisory group consisting of government representatives, public health lawyers and academic experts. It incorporated general prioritisation criteria (evidence, cost-effectiveness, equity, burden of disease) and local contextual criteria (legal compatibility, unmet-needs, political acceptability, structural and technical feasibility, community support). The framework was then applied in practice through surveys and policy dialogue workshops to discuss political economy factors. Policies were limited to nutrition, alcohol and physical activity risk factors. Through the prioritisation process, the most impactful, feasible and acceptable policies for NCD prevention via state government codes of practice were: restrictions on in-store placement of unhealthy products, enhancing data systems and capabilities for health surveillance and implementation monitoring, removal of unhealthy foods and drinks sold and supplied in public institutions, prohibition of marketing of unhealthy foods and drinks on assets controlled by government, and implementation of subsidies or grants to increase fruit and vegetable intake. The process illustrated that explicit consideration of local context, legal compatibility and the political economy had a substantial influence on the prioritised list of actions. The proposed priority setting framework is designed to be flexible and adaptable to varying contexts, can be embedded in government processes or utilised by researchers and practitioners to co-produce a regulatory agenda that is locally relevant.