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The purpose of this paper is to assess medicines information sources accessed by clinicians, if sources differed in theory and practice and to find out the barriers and facilitators to effective guideline adoption.

In all, 183 doctors were surveyed. Barriers and facilitators were classified as: communication; potential adopters; innovation; organization characteristics and environmental/social/economic context.

Most of the clinicians accessed multiple information sources including standard treatment guidelines, but also consulted seniors/colleagues in practice. The top three factors influencing clinical practice guideline adoption were innovation characteristics, environmental context and individual characteristics. The respondents differed in the following areas: concerns about flexibility offered by the guideline; denying patients’ individuality; professional autonomy; insights into gaps in current practice and evidence-based practice; changing practices with little or no benefit. Barriers included negative staff attitudes/beliefs, guideline integration into organizational structures/processes, time/resource constraints. Fearing third parties (government and insurance companies) restricting medicines reimbursement and poor liability protection offered by the guidelines emerged as the barriers. Facilitators include aligning organizational structures/processes with the innovation; providing leadership support to guide diffusion; increasing awareness and enabling early innovation during pre/in-service training, with regular feedback on outcomes and use.

Guideline adoption in clinical practice is partly within doctors’ control. There are other key prevailing factors in the local context such as environmental, social context, professional and organizational culture affecting its adoption. Organizational policy and accreditation standards necessitating adherence can serve as a driver.

This survey among clinicians, despite limitations, gives helpful insights. While favourable attitudes may be helpful, clinical adoption could be improved more effectively by targeting barriers.

Building information modeling (BIM) is a process of creating an intelligent virtual model integrating project data from design to construction and operation. BIM models enhance the process of communicating the progress of construction to stakeholders and facilitate integrated project delivery, coordination and clash detection. However, barriers within the construction industry in Ethiopia has led to slow BIM adoption in the country. The aim of this paper is to identify perceived BIM barriers, provide a platform to quantify their importance and develop a regression model to link individual's personal/professional attributes to their perception of BIM barrier.

To address the objectives of this research, an online survey was developed to collect feedback from construction professionals in Ethiopia on 20 major adoption barriers extracted from a thorough review of literature. Relative importance index and strength of consensus metric were employed to identify the significance of barriers. This was then succeeded by performing exploratory factor analysis to determine the major constructs of BIM barriers which was then used to develop a multivariate regression model linking respondents' personal attributes to their perception of BIM barrier.

Results revealed the importance of project complexity and BIM maturity level in prioritizing barriers that are more relevant under various contexts. More specifically, results indicated the following study highlights: Project complexity led to higher perceived weights for lack of appropriate physical/cloud infrastructures, and a BIM standard. Higher levels of BIM maturity signified the importance of BIM internal issues such as liability, licensing and maintenance issues among other adoption barriers. Female participants tended not to consider intangibility of BIM benefits as a major barrier towards BIM adoption compared to male participants. Age of the participants turned out to be the least important factor in their prioritization of BIM perceived adoption barriers.

While many research studies have explored BIM adoption barriers in various countries around the world, none to the best of the authors' knowledge have attempted to develop a model to highlight the impact of individuals' personal/professional attributes on their perception of adoption barriers within their community which can help with prioritizing the barriers that are deemed to be more important given the characteristics of the community under study. Our result indicated the importance of BIM maturity level and project complexity in prioritizing barriers associated with BIM adoption within Ethiopia's construction industry.

BIM has much potential to improve the effectiveness of construction works with respect to design, construction and maintenance. However, many Architecture, Engineering, and Construction (AEC) firms are still lagging in the adoption and implementation of BIM in both developing and developed countries. The purpose of this study is to assess the barriers to BIM implementation, and examine the ways forward to improve BIM adoption within the Nigerian AEC firms.

A comprehensive literature review and questionnaire survey were used in the study. The survey targeted four different AEC firms. These include architectural firms, facility management firms, quantity surveying firms and structural engineering firms in Lagos, Nigeria. The data obtained were analyzed using mean score, standard deviation, Kruskal–Wallis test, and factor analysis.

The study identified 20 barriers to BIM implementation and identified ten ways forward to improve BIM adoption in AEC firms, particularly in Nigeria. The relative importance of both the identified barriers and the ways forward were gauged. The Kruskal–Wallis tests revealed that except for one (out of 20) identified barriers, and one (out of 10) identified ways forward; there is no statistical significant difference in the perceptions of four different AEC firms. The factor analysis result grouped the 20 identified barriers into three major factors to include: weak top management support and BIM environment related issues; cost of BIM software and training issues; and incompatibility, legal, contractual, and culture related issues.

The significance of the study cannot be over-emphasized due to BIM relevance to construction stakeholders and researchers at large.

The study findings would inform the decisions of the construction stakeholders to make some policy recommendations capable of positively influencing the full BIM implementation in AEC firms.

The research explores the shift to Quality 4.0, examining the move towards a data-focussed transformation within organizational frameworks. This transition is characterized by incorporating Industry 4.0 technological innovations into existing quality management frameworks, signifying a significant evolution in quality control systems. Despite the evident advantages, the practical deployment in the Indian manufacturing sector encounters various obstacles. This research is dedicated to a thorough examination of these impediments. It is structured around a set of pivotal research questions: First, it seeks to identify the key barriers that impede the adoption of Quality 4.0. Second, it aims to elucidate these barriers' interrelations and mutual dependencies. Thirdly, the research prioritizes these barriers in terms of their significance to the adoption process. Finally, it contemplates the ramifications of these priorities for the strategic advancement of manufacturing practices and the development of informed policies. By answering these questions, the research provides a detailed understanding of the challenges faced. It offers actionable insights for practitioners and policymakers implementing Quality 4.0 in the Indian manufacturing sector.

Employing Interpretive Structural Modelling and Matrix Impact of Cross Multiplication Applied to Classification, the authors probe the interdependencies amongst fourteen identified barriers inhibiting Quality 4.0 adoption. These barriers were categorized according to their driving power and dependence, providing a richer understanding of the dynamic obstacles within the Technology–Organization–Environment (TOE) framework.

The study results highlight the lack of Quality 4.0 standards and Big Data Analytics (BDA) tools as fundamental obstacles to integrating Quality 4.0 within the Indian manufacturing sector. Additionally, the study results contravene dominant academic narratives, suggesting that the cumulative impact of organizational barriers is marginal, contrary to theoretical postulations emphasizing their central significance in Quality 4.0 assimilation.

This research provides concrete strategies, such as developing a collaborative platform for sharing best practices in Quality 4.0 standards, which fosters a synergistic relationship between organizations and policymakers, for instance, by creating a joint task force, comprised of industry leaders and regulatory bodies, dedicated to formulating and disseminating comprehensive guidelines for Quality 4.0 adoption. This initiative could lead to establishing industry-wide standards, benefiting from the pooled expertise of diverse stakeholders. Additionally, the study underscores the necessity for robust, standardized Big Data Analytics tools specifically designed to meet the Quality 4.0 criteria, which can be developed through public-private partnerships. These tools would facilitate the seamless integration of Quality 4.0 processes, demonstrating a direct route for overcoming the barriers of inadequate standards.

This research delineates specific obstacles to Quality 4.0 adoption by applying the TOE framework, detailing how these barriers interact with and influence each other, particularly highlighting the previously overlooked environmental factors. The analysis reveals a critical interdependence between “lack of standards for Quality 4.0” and “lack of standardized BDA tools and solutions,” providing nuanced insights into their conjoined effect on stalling progress in this field. Moreover, the study contributes to the theoretical body of knowledge by mapping out these novel impediments, offering a more comprehensive understanding of the challenges faced in adopting Quality 4.0.

This research aims to identify, examine and evaluate barriers to the adoption of digital servitization in manufacturing firms in the case of the Sri Lankan manufacturing sector and analyze the inter-relationships among digital servitization barriers.

Based on the comprehensive literature review, 13 barriers were identified. The grey decision-making trial and evaluation laboratory (grey-DEMATEL) approach was used to uncover and analyze the relationships among barriers in terms of their overall influence and dependencies.

A prominent barrier to the success of adopting digital servitization in the Sri Lankan manufacturing sector is the lack of digital strategy in developing activities related to the design of digital service packages, organizational structures and processes. Supply chain integration is the most influential factor, which plays an important role in developing a competitive advantage by encouraging innovation process capabilities in servitized companies.

Industry practitioners can develop guidelines for adopting digital servitization practices based on the importance and interdependencies of different barriers and thereby prioritize projects within a program of digital servitization adoption in their organizations.

Research studies on barriers to digital servitization are limited to exploratory nature and have adopted mainly the qualitative approach, such as in-depth interviews. No empirical study has investigated the inter-relationships among digital servitization adoption barriers in the manufacturing sector. This study provides a holistic view of different barriers to the adoption of digital servitization in the manufacturing sector as a basis for developing comprehensive digital servitization strategies to manage and leverage complexity in digital transformation.

Some BIM implementation strategies are critical, while others are insignificant and ineffective in terms of lowering BIM adoption obstacles and promoting widespread acceptance of BIM in projects. The BIM literature has not provided evidence to support this claim or identify the fundamental BIM implementation strategies. This study filled this gap by identifying and investigating the effect of fundamental BIM implementation methodologies on the occurrence of proportional impacts between stages.

The findings indicate a positive and crucial relationship between the stages of the BIM implementation strategies and the reduction of barriers (r = 1.79, z = 2.15), preliminary and sustained BIM adoption barriers (r = 1.53, z = 60.83), BIM adoption on projects and BIM-enabled integration and collaboration (r = 0.7, z = 2.74). This validates the model's hypotheses and demonstrates that the fundamental BIM implementation strategies will accelerate the reduction of BIM adoption hurdles. The impact, however, will be the same for both sustained and preliminary barriers. This implies that lowering the obstacles alone will not secure BIM adoption.

The validation of the model's hypotheses demonstrated that the fundamental BIM implementation strategies will accelerate the reduction of BIM adoption hurdles. The impact, however, will be the same for both sustained and preliminary barriers. This implies that lowering BIM adoption obstacles alone will not secure BIM adoption. This study proposes that BIM deployment tactics be carefully chosen in order to remove preliminary impediments, reduce barriers and energise BIM acceptance.

In line with the findings of this study, BIM adoption must be consistent and long-term before the benefits in project execution become evident and substantiated. The BIM abilities of project participants, the feasibility of BIM conventions and the proficiency of BIM supervisors may all play a role in this.

This research implies a few approaches and tactics for implementing BIM in an efficient and beneficial manner. The study's findings imply that BIM deployment tactics should be carefully chosen in order to remove preliminary impediments, reduce barriers and energise BIM acceptance. It also explains how to structure BIM implementation strategies in developing countries. Another significant practical implication is the model's conclusion on the benefits of BIM adoption.

This study emphasises the significance of understanding the interrelatedness between the stages of the BIM implementation process in order to promote unavoidable and high-quality BIM adoption, as well as identifying the essential strategies that will guide policymakers and industry players in improving and pursuing successful BIM implementation. This study adds to BIM implementation theories by providing new information on the models, stages and interconnections of the BIM implementation process. However, the study could not identify the factors that impede BIM adoption despite the reduction in barriers and use of fundamental BIM implementation strategies.

The purpose of this paper is to systematically review and analyse the critical challenges and barriers of e‐government adoption. Such review aims to suggest the salient facts about the issues of successful implementation or adoption of the e‐government services under different circumstances to the researchers.

A total of 78 relevant research papers reviewing and analysing the challenges, barriers, and critical success factors were selected from a set of overall 448 articles on e‐government adoption research. These studies were comprehensively reviewed to examine some of the most significant supply and demand‐side challenges, barriers, and critical success factors explored by different studies in this context.

The findings indicated that technological barriers, lack of security and privacy, lack of trust, lack of resources, digital divide, poor management and infrastructure, lack of awareness, legal barriers, lack of IT infrastructure, and resilience were among some of the most commonly experienced challenges and barriers across the relevant studies. Moreover, it was also found that challenges and barriers associated with supply‐side (i.e. implementation) (C=53) were almost three times to the one applied to the demand‐side (i.e. adoption) (C=18). Furthermore, it was also found that citizen's satisfaction, information accuracy, security, and privacy were some of the critical factors for the success of e‐government initiatives.

This research only reviews the challenges, barriers and critical success factors and leaving apart many other research themes such as impact, digital divide, security, privacy, trust, and risk of e‐government adoption. Moreover, the theoretical and methodological paradigm of this research have not been explored.

This paper presents a comprehensive review of the challenges, barriers, and critical success factors of the e‐government adoption research both with regard to supply as well as demand side. Such review allows us to provide not only a brief account of the issues experienced in the e‐government research, but also prescribes the guidelines for the governments to consider certain facts before successfully implement their e‐government initiatives. Such a comprehensive review of e‐government adoption literature has not been performed earlier.

In an attempt to attain a better understanding of the research work on building information modeling (BIM) adoption, this study aims to examine the criticality of BIM adoption barriers in the Middle East and North Africa (MENA) developing countries from the lens of the sociotechnical theory. Further, the study investigates the differences in the perceptions of various constructions players (owners, contractors and designers) to BIM barriers, as well as possible discrepancies in the perception of BIM users and non-BIM users to the significance of the perceived constraints.

To reach this aim, the study starts with a systematic evaluation and a critical review of the literature on BIM barriers. A set of 22 BIM adoption limitations was drawn from the literature which was used to design the survey. To capture a broad perception, a mixed approach was used, and data were collected through an interview study and a survey involving Architecture, Engineering and Construction professionals in the MENA construction sector. The collected data were analyzed using the mean score, standard deviation and nonparametric tests. The further principal component analysis (PCA) grouped the barriers to uncover the latent factors of BIM barriers.

The actors ranked the barriers as follows: lack of knowledge and BIM awareness, commercial issues and investment cost, lack of skills and BIM specialist, interoperability and lack of client demand. The examination of the PCA resulted in four underlying BIM limitation factors namely: human, technological, structural and financial. The analysis of the ranking indicated that 16 of the 22 barriers are considered critical in the MENA area. The results of the Mann–Whitney test indicated that there is a statistically significant difference in perceptions of BIM users and nonuser for seven barriers, pointing out that users care most about the financial barriers; however, nonusers are mostly concerned with structural and technological barriers. However, the results of the Kruskal–Wallis test indicated that there is no statistically significant difference in the perceptions of the three categories of stakeholders in ranking all BIM barriers.

The outcomes will back policymakers and construction participants with the knowledge to develop policy propositions that can positively affect BIM adoption in the construction industry. The significance of this study lies in being one of the very first explorative investigations that comparatively and empirically explored BIM adoption barriers across the whole MENA developing countries.

While several research studies have examined BIM adoption barriers in various countries, none to the best of the authors' knowledge have attempted to study the whole MENA region as one entity, and none highlighted the impact of user's roles on their perception of adoption barriers within their community. The results contribute to the discussion of the relationship among practitioners' level of involvement in BIM projects and their perception of adoption barriers which is underrepresented in extant studies. The above can assist with prioritizing the barriers that are considered to be more significant given the characteristics of the community under study. The result revealed the value of the structural and human attributes in prioritizing BIM adoption barriers within the MENA construction industry.

The purpose of this paper is to investigate the barriers that are constituting significant obstructions to preliminary and sustained BIM adoption in the South African construction industry.

Implementation Process Theory was used to develop the theoretical model of barriers to continuous and consistent BIM adoption. This enabled the formulation of two hypotheses, the identification of two sub-constructs (barriers to preliminary BIM adoption and barriers to sustained BIM adoption), and five variables (resources, knowledge, work process, organisational and planning barriers), which were validated using structural equation modelling (SEM).

The SEM results show pieces of evidence that validate the hypotheses in the theoretical model. The path analysis confirms that the two sub-constructs and five variables are statistically significant.

This research extends the postulations on the barriers to BIM adoption by demonstrating that organisational challenges and planning difficulties constitute barriers to sustained BIM adoption in the South African construction industry.

The findings of this research are useful in understanding the planning scope and organisational requirements towards continuous and consistent BIM adoption in the South African construction industry.

The difficulties with BIM adoption are the issues with the performance of BIM on projects and are the major reason for the non-consistent adoption of BIM on projects. Having difficulties adopting BIM on projects suggests that BIM adoption is majorly on a preliminary or trial basis in the developing countries. This research tests this theory by proposing two types of BIM adoption and their associated barriers.

The purpose of this paper is to comprehend the ways of knowledge and application of green building guidelines and assessment systems as innovations diffuse in developing countries’ Architecture Engineering and Construction (AEC) industries.

Building up on recent research on the India case, this study focused on Indonesia and Turkey and further studied “how green building assessment systems diffuse in developing countries”. A total of 110 experts representing individuals from private and governmental sectors from both countries responded to the conducted survey.

Findings show insights to adoption of green building guidelines in developing countries, including their diffusion paths, barriers to their use and their applications. Additionally, the results are compared with the India case from the recent literature and analysed via the lens of the diffusion of innovation theory.

A random sampling of the AEC industries in developing countries in future studies and capturing of the evolution of the trends over time will provide further insights into the diffusion of innovation phenomena in the context of green building guidelines.

Innovation adoption paths for green building guidelines in Indonesia, Turkey and India are similar, while a higher adoption rate is observed in the case of India. “Diffusion of innovation” categories for green building guidelines that define the state of each adopter at the time of survey conduct in India, Indonesia and Turkey are found. Environmental groups as innovator, large business houses as early adopter and nodal agencies as early majority are the common adopters and categories of green building guidelines. The study findings align with those in the literature and show that clients and market conditions can catalyse the diffusion of innovation in AEC industries in Turkey and Indonesia.

Diffusion of green building guidelines as innovations in developing countries’ AEC industries showed alignment with the Roger’s (2003) model. However, respondents in both Turkey and Indonesia reported approximately ten times as many innovators and twice as many early adopters as Roger’s (2003) model would predict. Because of the small proportions of late adopters and laggards in these two countries, any useful innovation should be quickly incorporated.

Aligning with the literature, findings show that clients and market conditions catalyse diffusion of innovation in AEC industries in Turkey and Indonesia. It is important to note that both countries approximately have ten times as many innovators and twice as many early adopters as theory would predict. Because of the small proportions of late adopters and laggards in these two countries, useful green building innovations could be quickly incorporated.