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Despite successfully adopting building information modelling (BIM) for design and construction, its adoption in post-construction is critically lagging. This study aims to investigate the adoption of BIM for post-construction in Nigeria. Specifically, it aims to investigate the barriers hindering BIM adoption, propose strategies to facilitate its integration into the post-construction phase and examine the relationship between the barriers and strategies towards adopting BIM for post-construction.

This study employs a quantitative approach to gather numerical data on BIM perceived barriers among International Facility Management Association (IFMA) members. The study also develops strategies from an extensive literature review and combines them with insights from preliminary investigation. The data were analysed using descriptive and inferential statistics.

The top perceived barriers among the professionals are lack of BIM awareness, software availability issues and difficulties using new technologies. Institute training/workshops on BIM software for the professionals in the organisation, including BIM software courses in various related professional exams, and encouraging adoption of BIM from the grassroots, such as higher institutions, emerge as the top strategies. The findings further show a significant relationship between the barriers and strategies, emphasising the recognition that understanding barriers prompts the active development and implementation of strategies.

This study holds originality in its examination of the relationship between the barriers and strategies associated with BIM adoption in Nigerian Architecture, Construction, Engineering and Operation.

Amidst all solutions posited to address sustainable construction practices in Nigeria, the implementation plans are repudiated by sustainable barriers. This study examines and confirms the strategy with the most significant impacts on the identified barrier to sustainable construction practice (SCP).

The study deployed a questionnaire survey to evaluate the perspective of 100 construction actors on the barriers and strategies of sustainable construction practice in Nigeria. Factor Analysis was employed to categorize key barriers and strategies into their underlying clusters for further analysis. Partial least squares-structural equation modelling (PLS-SEM) was used to confirm the construct's significant relationship and magnitude, thereby establishing the strategies with the highest impacts on the barriers to sustainable construction practices.

The findings revealed three clusters of barriers and four groups of strategies to SCP, including technopolitic barrier, perception and awareness barrier and sociocultural barrier. For the significant strategies, education and training, stakeholder regulation, incentive support and government and legislative support strategies were established. Overall, education and training strategy was identified as the most dominant and effective strategy to mitigate the barriers of SCP in Nigeria.

The paper establishes education and training as the key strategy to achieving sustainable quest in the AEC industry. The practical implication is that policymakers, educators and professional bodies can harness sustainable knowledge transfer through education and training to improve sustainable construction practices in Nigeria.

Lean construction provides innovative practices to manage construction projects while reducing waste and improving performance. This paper aims to explore the current level of awareness of lean construction practices among Moroccan construction professionals to assess the potential benefits derived from lean construction practices and to identify the critical barriers hindering a successful implementation.

The paper opted for a quantitative approach by using a structured questionnaire survey. A total of 330 valid responses were collected from Moroccan construction practitioners involved in private and public construction organisations.

The results show that 61 per cent of the respondents are familiar with lean construction practices. The findings have also pointed out that the lean construction approach adds a positive impact, specifically on quality, safety and environmental level. In addition, the main barriers hindering a successful lean construction deployment in Morocco are lack of knowledge about lean construction philosophy, unskilled human resources and insufficient financial resources.

This study provides a new insight into the implementation of lean construction in Morocco. It contributes to the body of knowledge, as it uncovers for the first time the level of awareness, the potential benefits derived from lean construction practices and the barriers to implementing lean construction in the Moroccan construction industry. Exploring the current state of lean construction implementation can help practitioners, companies and researchers in the Moroccan construction industry to focus their effort and resources on the significant issues necessary to assist a successful implementation of lean construction. Furthermore, the findings of this study could prove valuable to other countries in Africa, especially those sharing similarities to the Moroccan context.

This paper aims to discuss the barriers to successful business model innovation and derive implications for management on how to overcome each barrier, as many attempts to innovate a business model have failed.

The authors draw on their experience they gained in numerous business model innovation projects and identify barriers that occur along a cycle of business model innovation, the authors use case examples to describe the barriers and derive managerial implications.

Barriers to successful business model innovation are related to barriers of awareness, search, system, logic and culture. Very often, these barriers are not recognized as such. Overcoming those barriers has to do with openness, with opening, with networking, with affirmation (and mastering) of complexity and thinking and acting in a whole.

With this paper, the authors contribute to a better understanding of why many business model innovations fail, they identify and describe barriers to business model innovation and develop some recommendations for managers on how to overcome the barriers.

Recent research on the energy system highlights the need for understanding the bandwidth of drivers and inhibitors of household investor's behaviour in rooftop PV (or photovoltaic power system) and to fit the broader socio-economic context in which they are deployed. However, apart from few exceptions, these newer perspectives have not been duly applied in the research on rooftop PV. This paper aims to fill this gap and to shed new light on rooftop PV investment decisions.

This study has been conducted with the primary data collected using two data sets of 237 households and 387 households of Indian southern state Kerala using survey-based questionnaire. The findings from first data set revealed that households considering the adoption of PV were likely influenced by six distinct factors, three motivators and three inhibitors. Second data set for multi-state analytic approach was proposed whereby the research model was tested using structural equation modelling (SEM). The outcomes of SEM were used as inputs for an artificial neural network (ANN) model for forecasting investor investment decision in in renewables. The ANN model was also used to rank the relative influence of significant predictors obtained from SEM.

In line with the risk–return framework, government subsidies act as primary motivator which helps in overcoming the initial risk of investment in the new technology. Further, low prices and low cost of maintenance are some of the financial motivators which may likely mitigate the long-term apprehension of returns and maintenance cost. Lastly, the strongest motivators of PV investment come from the environmental and financial motivator in the form of PV subsidies, which further solidifies the role of policy interventions in investment decision. The ANN model identified the technical barrier and knowledge and awareness factors play a significant role in forcasting the investor investing decision.

The study results will be useful for policymakers for framing strategies to attract and influence their investment in renewable energy.

Building upon behavioural finance and institutional theory, this paper posits that, in addition to a rational evaluation of the economics of the investment opportunities, various non-financial factors affect the household's decision to invest in renewables.

The purpose of this study is to explore and prioritize the barriers that affect weather index-insurance (WII) adoption among customers by utilizing interpretive structural modelling (ISM) and fuzzy-MICMAC.

This paper utilized the combined approach in two phases. In first phase comprehensive literature study and expert mining method have been performed to identify and validate WII adoption barriers. In second phase, ISM has been utilized to examine the direct relationships among WII adoption barriers in order to develop a structural model. Further, fuzzy-MICMAC method has been utilized to analyse indirect relationships among barriers to explore dependence and driver power.

This study has identified 15 key barriers of WII adoption among customers and developed a structural model based on binary direct relationship using ISM. Later, the outcomes of ISM model have been utilized for analysing the dependence and driver power of each WII adoption barriers in cluster form using fuzzy-MICMAC. The customer awareness related WII adoption barrier are mainly at the top level, WII demand related barriers are in the centre and WII supply related barriers at the bottom level in ISM model.

The findings offered important insights for WII insurers to understand mutual relationships amongst WII adoption barriers and assists in developing strategy to eliminate dominant key barriers in order to enhance their customer base.

Based on best of author's knowledge this paper firstly integrates the ISM fuzzy-MICMAC method into identification and prioritization of barriers that affects WII adoption among customers.

The purpose of this paper is to prioritize and establish relationships among the barriers that affect green, lean and Six Sigma (GLSS) implementation in the Indian construction sector.

A hierarchal model consisting of several levels is generated by the interpretive structural modelling (ISM) methodology. For establishing the priority weights and the ranking of the barriers, the relationships among barriers from the model in ISM are used to provide an output from the analytic network process (ANP). The 12 vital barriers that affect implementation of GLSS adoption were shortlisted from literature and then finalized in consultation with experts belonging from both industry and academia.

Based on the ISM model “Lack of awareness for green products, Lack of top management commitment and involvement as well as Lack of funds along with an improper estimation” are at the highest level. Similar results were found while ranking the barriers through ISM–ANP integration.

This study identified and prioritized the barriers that affect GLSS implementation using ISM–ANP approach, such a study has not been attempted previously for the construction sector. The ISM model and ANP ranks are based on the inputs gathered from experts and academicians so as to ensure practical validity. This approach is assists decision-makers to focus on the key barriers priority basis and enables them to implement GLSS smoothly.

This paper aims to explore and review the critical perspectives of stakeholders in the facility management (FM) industry as regards the barriers to building information modelling (BIM) integration, with the view to providing significant insights to mitigate the barriers to BIM implementation.

An extensive literature review was conducted to identify critical barriers to BIM–FM integration. Ten categories of barriers were identified from the literature review and used to design a Likert scale-based questionnaire, which was administered to registered members of International Facility Management Association based in Lagos, Nigeria. The data collected were analysed using both descriptive (mean score, standard deviation, frequency tables and charts) and inferential statistics (Shapiro–Wilk and Kruskal–Wallis tests).

The descriptive and inferential analysis demonstrated a disparity in the ranking of the ten barriers among the groups. Six (out of ten) barriers to BIM implementation for FM practices are identified as critical (mean score greater than 4.0): insufficient awareness levels of BIM–FM integration benefits, non-existence of contractual and legal framework for BIM implementation, limited studies on BIM–FM inter-relationship, poor acceptance levels and resistance to change among stakeholders, perception of BIM and inadequacy of mode data. And the results of the one-sample t-tests show that there were statistically significant differences in the six.

This study offers significant insights to industry stakeholders in understanding BIM implementation barriers in FM, as well as the framework for mitigating them. These findings could also be applied to other developing countries, with special consideration given to locational differences.

The valuable information provided in this study could be used as a roadmap to improve BIM–FM practice implementation in Nigeria. It also measured differences in the opinions of professionals.

The purpose of this paper is to identify barriers and drivers to open source software (OSS) adoption, and measures awareness and adoption stages of OSS in US academic libraries.

An online survey of chief information officers, chief technology officers or heads for IT in US academic libraries was conducted. A total number of 179 responses were used for data analysis.

From the survey, the authors identify significant barriers and drivers that US academic libraries may consider before adopting OSS and found that awareness itself is not a barrier. While about half of respondents confirmed using OSS, the authors found surprisingly low levels of intent to adopt from current non-adopters.

This research offers insights for promoting OSS adoption. Also, it provides funding agencies and administrators with guidelines to encourage successful deployment of OSS in higher education.

While extant research is mostly anecdotal, this research draws from an online survey to snap-shot the current state of OSS adoption in US academic libraries and provides a baseline for practice and research.

The purpose of this study is to explore the role of continuous learning and the mitigation or elimination of knowledge barriers affecting information technology (IT) assimilation in the health-care sector. Most of the problems with IT assimilations stem from a poor understanding of the nature of suitable information, the lack of trust, cultural differences, the lack of appropriate training and hierarchical bureaucratic structures and procedures. To overcome these barriers, this study provides evidence that a continuous learning process can play a part in overcoming some of the obstacles to the assimilation of IT.

This study investigates how a continuous learning environment can counteract the presence of knowledge barriers, and, along with such an environment, can, in turn, facilitate IT assimilation. The study uses ADANCO 2.0.1 Professional for Windows and involves the collection and analysis of data provided by 210 health-care end users.

The study provides evidence in support of the proposition that continuous learning may facilitate the assimilation of IT by health-care end users through the mitigation of knowledge barriers (e.g. lack of trust or resistance to change). The mitigation of these barriers requires the gathering and utilization of new knowledge and knowledge structures. The results support the hypothesis that one way in which this can be achieved is through continuous learning (i.e. through assessing the situation, consulting experts, seeking feedback and tracking progress).

A limitation of the study is the relatively simple statistical method that has been used for the analysis. However, the results provided here will serve as a preliminary basis for more sophisticated analysis which is currently underway.

The study provides useful insights into ways of using continuous learning to facilitate IT assimilation by end users in the health-care domain. This can be of use to hospitals seeking to implement end user IT technologies and, in particular, telemedicine technologies. It can also be used to develop awareness of knowledge barriers and possible approaches to mitigate the effects of such barriers. Such an awareness can assist hospital staff in finding creative solutions for using technology tools. This potentially augments the ability of hospital staff to work with patients and carers, encouraging them to take initiative (make choices and solve problems relevant to them). This, in turn, allows hospitals to avoid negative and thus de-motivating experiences involving themselves and their end users (patients) and improving IT assimilation. This is liable to lead to improved morale and improved assimilation of IT by end users (patients).

As ICT systems and services should entail participation of a wide range of users, developers and stakeholders, including medical doctors, nurses, social workers, patients and programmers and interaction designers, the study provides useful social implication for health management and people well-being.

The paper contributes to a better understanding of the nature and impacts of continuous learning. Although previous studies in the field of knowledge management have shown that knowledge management procedures and routines can provide support to IT assimilation, few studies, if any, have explored the relationship between continuous learning and IT assimilation with particular emphasis on knowledge barriers in the health-care domain.