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There is an urgent need for the construction industry to improve its current performance to increase productivity and satisfy the complex and varying needs of project clients. To be successful, construction companies must innovate. Unfortunately, the extant literature has revealed some inertia towards innovation which in several cases is because of lack of the organisational readiness required to embrace innovation. Various models for assessing organisational readiness are proposed in the literature. Accordingly, the purpose of this paper is to determine the applicability of existing models for assessing the readiness of construction organisations to innovate.

A desk study of the extant literature was conducted to identify perspectives of readiness assessment and, based on a comparative framework, a set of readiness assessment models identified was examined to ascertain their perspectives on organisational readiness assessment.

Five models/tools of organisational readiness assessments were identified and compared based on a set of identified criteria. The comparative analysis revealed that three of the models can be used to assess the readiness of construction organisations to innovate, albeit with varied scopes of modification.

The paper presents an overview of readiness assessment perspectives developed through models that could help organisations in selecting the most appropriate tool to assess their readiness.

The paper uses a comparative framework as a basis for analysing the identified models. It further discusses the strengths and weaknesses inherent in each model noting critical areas of omission.

This study aims to establish an assessment model to measure big data readiness in the public sector, specifically targeting local governments at the provincial and city/regency levels. Additionally, the study aims to gain valuable insights into the readiness of selected local governments in Indonesia by using the established assessment model.

This study uses a mixed-method approach, using focus group discussions (FGDs), surveys and exploratory factor analysis (EFA) to establish the assessment model. The FGDs involve gathering perspectives on readiness variables from experts in academia, government and practice, whereas the survey collects data from a sample of selected local governments using a questionnaire developed based on the variables obtained in FGDs. The EFA is used on survey data to condense the variables into a smaller set of dimensions or factors. Ultimately, the assessment model is applied to evaluate the level of big data readiness among the selected Indonesian local governments.

FGDs identify 32 essential variables for evaluating the readiness of local governments to adopt big data. Subsequently, EFA reduces this number by five and organizes the remaining variables into four factors: big data strategy, policy and collaboration, infrastructure and human resources and data collection and utilization. The application of the assessment model reveals that the overall readiness for big data in the selected local governments is primarily moderate, with those in the Java cluster displaying higher readiness. In addition, the data collection and utilization factor achieves the highest score among the four factors.

This study offers an assessment model for evaluating big data readiness within local governments by combining perspectives from big data experts in academia, government and practice.

Transformation to Industry 4.0 has become crucial for nations, and a coherent transformation strategy requires a comprehensive picture of current status and future vision. This study presents a comprehensive model for readiness assessment of nations based on rigorous analysis of several global indices and academic Industry 4.0 literature.

A holistic approach is taken considering overall socioeconomic development along with industrial innovation and seven readiness dimensions: enabling environment, human resource, infrastructure, ecological sustainability, innovation capability, cybersecurity and consumers. The indicators used for evaluation are standard metrics for which data are collected from reputed sources such as World Bank, United Nations Educational Scientific and Cultural Organization (UNESCO), World Economic Forum (WEF) and International Organization for Standardization (ISO), and hence internationally acceptable.

The formulated model is used to evaluate Industry 4.0 readiness of 126 economies that account for 98.25% of world’s gross national income. Observations show poor scores of most economies on innovation capability and cybersecurity dimension as compared to other 5 dimensions. In 75% countries, I4.0 readiness score is below 0.5 on a scale of 0–1(completely ready), highest being 0.65 for Denmark.

A systematic literature review revealed lack of assessment models discussing a nation's current status or readiness for Industry 4.0. This academic study is first of its kind.

The purpose is to assess Industry 4.0 (I4.0) readiness index using fuzzy logic and multi-grade fuzzy approaches in an automotive component manufacturing organization.

I4.0 implies fourth industrial revolution that necessitates vital challenges to be dealt with. In this viewpoint, this article presents the evaluation of I4.0 Readiness Index. The evaluation includes two levels with appropriate criteria and factors. Fuzzy logic approach is used for assessment. Furthermore, the results obtained from fuzzy logic have been benchmarked with multi-grade fuzzy approach.

The proposed assessment model has successfully utilized fuzzy logic approach for assessment of I4.0 readiness index of automotive component manufacturing organization. Based on fuzzy logic approach, readiness index of I4.0 has been found to be (4.74, 6.26, 7.80) which is further benchmarked using multi-grade fuzzy approach. Industry 4.0 readiness index obtained from multi-grade fuzzy approach is 6.258 and thus, validated. Furthermore, 20 weaker areas have been identified and improvement suggestions are provided.

The assessment module include two levels (Six Criteria and 50 Factors). The assessment model could be expanded based on advancements in industrial developments. Therefore, future researchers could utilize findings of the readiness model to further develop multi-level assessment module for Industry 4.0 readiness in organization. The developed readiness model helped researchers in understanding the methodology to assess I4.0 readiness of organization.

The model has been tested with reference to automotive component manufacturing organization and hence the inferences derived have practical relevance. Furthermore, the benchmarking strategy adopted in the present study is simple to understand that makes the model unique and could be applied to other organizations. The results obtained from the study reveal that fuzzy logic-based readiness model is efficient to assess I4.0 readiness of industry.

The development of model for I4.0 readiness assessment and further analysis is the original contribution of the authors. The developed fuzzy logic based I4.0 readiness model indicated the readiness level of an organization using I4RI. Also, the model provided weaker areas based on FPII values which is essential to improve the readiness of organization that already began with the adoption of I4.0 concepts. Further modification in the readiness model would help in enhancing I4.0 readiness of organization. Moreover, the benchmarking strategy adopted in the study i.e. MGF would help to validate the computed I4.0 readiness.

Ongoing research and development into the implementation of concurrent engineering(CE) within the construction industry have made researchers think how to make CE implementation better, more effective, and more efficient. This has led researchers to investigate CE implementation efforts within other industry sectors, which suggest to carryout a CE readiness assessment of a construction organisation before the adoption of some CE aspects within the industry that has facilitated the CE adoption in other industries. Now the problem is that there is no model or tool available, which will help in assessing the readiness of the organisation. Therefore, this paper discusses the development of a CE readiness assessment model for the construction industry. It also includes a comparative review of existing readiness assessment tools and models that have been specifically developed and successfully used in the manufacturing andIT sectors. It argues that readiness assessment of a construction organisation is a necessity for the implementation of CE in construction and assesses the applicability of existing tools and models to the construction industry. And finally the development of a new readiness assessment model for the construction industry called “BEACON” is presented.

Given the challenges that Industry 4.0 poses, the purpose of this paper is to propose a comprehensive assessment model suitable for evaluating small- and medium-size enterprises’ (SMEs) digital readiness levels, discuss the results of an assessment of 20 manufacturing SMEs using the proposed model and highlight priorities needed to undertake a successful journey towards Industry 4.0.

The research adopts an empirical approach using multiple case studies. Starting with a literature review about maturity and readiness-assessment models for Industry 4.0, the study’s model has been built and validated through two pilot case studies, with the final model used in an extensive case studies research with 20 enterprises.

The SMEs used in this research present an intermediate readiness level with respect to Industry 4.0. They are aware of the phenomenon, but management is still taking the first steps towards identifying the most appropriate strategy to approach this Fourth Industrial Revolution. Companies need to exploit all opportunities that data availability provides in terms of knowledge creation and decision-making support, in all forms, through investments in people skills and expertise and through an infrastructure that can support data gathering, analysis and sharing.

The Italian industrial landscape comprises mainly SMEs, mostly needing support to understand their path towards Industry 4.0. Therefore, the proposed model specifically focuses on SMEs, given its modularity, ease of understanding and fit to SMEs’ organisational structure. Furthermore, insights from 20 Italian SMEs are examined, and a list of priorities is highlighted.

The purpose of this paper is first to construct an e‐publishing model and then to implement the model in Iranian publishers.

This article critically tries to evaluate Iranian publishing companies involved in e‐publishing based on a new model which is made in this paper. Moreover, it has tried to investigate the readiness of the society and the Ministry of Culture and Islamic Guidance as a legislator toward e‐publishing. Furthermore, some suggestions to remove challenges toward e‐publishing based on the findings will be made.

A new e‐publishing readiness model is made based on e‐readiness prior models. Based on the new model, the e‐publishing readiness level of Iranian publishing companies is evaluated. It was found that, to improve e‐publishing, it is necessary to have a holistic view toward the model in a way that considers all dimensions of e‐publishing. Furthermore, it was found that in some constructs like technical infrastructure, social, and economical and financial constructs, Iranian publishers did not enjoy a good status, while in other factors this was better. Consequently, based on these finding, some suggestions are made toward improving the e‐publishing readiness level of Iranian publishers.

This research is probably the first to support the perspective of critical issues regarding e‐readiness assessment in publishing companies based on macro models. It will give a good insight which it is expected could be helpful for managers to consider the critical issues with respect to e‐readiness assessment of their organization in an effective way.

Six Sigma, as a concept, gains more and more attention and importance because of its comprehensive approach for company development and performance improvement of both products and processes. Nevertheless, Six Sigma is recognized for its complicated statistical and non‐statistical tool‐sets for reducing operational deviation. The main challenge for a successful implementation of Six Sigma is the readiness for it. In particular, as China has been developing into the world factory, the quality improvement journey has also been affected by this world‐wide trend and China enterprises have to find ways to adapt to this. This research paper aims at developing a self‐assessment model for determining the readiness of China enterprises to implement the Six Sigma approach, so that organizations can understand their wellbeing and the potential deficiencies in Six Sigma implementation.

An extensive literature review has been conducted to provide sufficient background information on the Six Sigma development, critical success factors and its challenges for implementing organizations, especially for China enterprises. The developed readiness self‐assessment model is validated by survey method and the collected data are analyzed to determine the effectiveness of the model.

The survey outcomes prove that the developed self‐assessment model is effective in determining the readiness of the organization for adopting a Six Sigma approach. Among the three surveyed companies, only the one with experience in quality improvement projects and Six Sigma implementation passes the assessment test. The model is able to illustrate the potential deficiencies of an organization if it intends to implement Six Sigma.

This paper presents the first research study to develop a Six Sigma readiness self‐assessment model targeting China enterprises. The developed model is of interest to academic researchers, business practitioners, quality improvement consultants and Six Sigma experts. The paper will provide a valuable foundation and also implications for future research studies on readiness self‐assessment models for all kinds of management system programs.

The purpose of this paper is to varied a conceptual model for e-Tendering readiness in any construction organisation prior of implementing e-Tendering system.

Based on conceptual model called e-Tendering readiness model (e-TRM), this paper empirically examines the e-TRM’s interactions and causal relationships between e-Tendering constructs and e-Tendering readiness. The paper uses the structural equation modelling technique to test the hypothesised positive inter-relationships. A questionnaire survey is conducted for respondents of construction organisations in Saudi Arabia to understand their current e-Tendering readiness and importance of e-Tendering variables.

Supported by empirical evidence, this paper recognised that three out of nine constructs have direct influences on the e-Tendering readiness. However, one of the constructs, which is for the first time hypothesised and tested has the most effect.

Ultimately, the empirical test for the e-TRM is conducted in certain case (Saudi Arabia); however, the e-TRM needs to be tested in other case area for more verification.

The study findings update previous information technology/information system models in construction by adding this tested model to the research literature on traditional and electronic tendering and the body of knowledge in the construction industry.

The service providers construct is proposed and tested for the first time, which is necessary to support the successful e-Tendering implementation.

The purpose of this paper is to develop a sustainability readiness assessment model and a sustainability assessment model for manufacturing organizations.

The proposed models have been developed using resource-based theory along the integrated supply chain. The models are based on resources sustainability (people, money, material, energy, infrastructure, water, and air), critical factors of sustainability (product, process and policies), sustainability dimensions (environment, economic, and social), and life cycle sustainability (integrated supply chain).

The paper presents an integrated assessment system which includes: product life cycle, resources, critical factors (product, process, and policy), key performance indicators, and their interrelationship with sustainability dimensions. The three critical factors and all the important resources required by a manufacturing organization along the integrated supply chain are identified. The readiness assessment model is user friendly and effective to guide the managers to identify the weak areas of sustainability.

The proposed model for readiness assessment is tested and in an automotive manufacturing organization but the sustainability assessment model is conceptual and it requires validation by implementing the same in an organization to understand its effectiveness.

The readiness assessment model can help the top management to decide whether the organizational orientation is correct to improve sustainability. The easy to use models can be used by the decision/policy makers and independent bodies to assess, compare and benchmark the products, processes or organizations and thus affect public policies and attitudes.

This study has developed, for the first time, a sustainability readiness assessment model. The resource-based theory has been applied along the integrated supply chain.