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The benefits of artificial intelligence (AI) related technologies for manufacturing firms are well recognized, however, there is a lack of industrial AI (I-AI) maturity models to enable companies to understand where they are and plan where they should go. The purpose of this study is to propose a comprehensive maturity model in order to help manufacturing firms assess their performance in the I-AI journey, shed lights on future improvement, and eventually realize their smart manufacturing visions.

This study is based on (1) a systematic review of literature on assessing I-AI-related technologies to identify relevant measured indicators in the maturity model, and (2) semi-structured interviews with domain experts to determine maturity levels of the established model.

The I-AI maturity model developed in this study includes two main dimensions, namely “Industry” and “Artificial Intelligence”, together with 12 first-level indicators and 35 second-level indicators under these dimensions. The maturity levels are divided into five types: planning level, specification level, integration level, optimization level, and leading level.

The maturity model integrates indicators that can be used to assess AI-related technologies and extend the existing maturity models of smart manufacturing by adding specific technical and nontechnical capabilities of these technologies applied in the industrial context. The integration of the industry and artificial intelligence dimensions with the maturity levels shows a road map to improve the capability of applying AI-related technologies throughout the product lifecycle for achieving smart manufacturing.

The purpose of this paper is to establish a maturity evaluation model for the application of construction steel structure welding robotics suitable for the actual situation and specific characteristics of engineering projects in China and then to assess the maturity level of the technology in the application of domestic engineering projects more scientifically.

The research follows a qualitative and quantitative analysis method. In the first stage, the structure of the maturity model is constructed and the evaluation index system is designed by using the ideas of the capability maturity model and WSR methodology for reference. In the second stage, the design of the evaluation process and the selection of evaluation methods (analytic hierarchy process method, multi-level gray comprehensive evaluation method). In the third stage, the data are collected and organized (preparation of questionnaires, distribution of questionnaires, questionnaire collection). In the fourth stage, the established maturity evaluation model is used to analyze the data.

The evaluation model established by using multi-level gray theory can effectively transform various complex indicators into an intuitive maturity level or score status. The conclusion shows that the application maturity of building steel structure welding robot technology in this project is at the development level as a whole. The maturity levels of “WuLi – ShiLi – RenLi” are respectively: development level, development level, between starting level and development level. Comparison of maturity evaluation values of five important factors (from high to low): environmental factors, technical factors, management factors, benefit factors, personnel and group factors.

In this paper, based on the existing research related to construction steel structure welding robot technology, a quantitative and holistic evaluation of the application of construction steel structure welding robot technology in domestic engineering projects is conducted for the first time from a project perspective by designing a maturity evaluation index system and establishing a maturity evaluation model. This research will help the project team to evaluate the application level (maturity) of the welding robot in the actual project, identify the shortcomings and defects of the application of this technology, then improve the weak links pertinently, and finally realize the gradual improvement of the overall application level of welding robot technology for building steel structure.

One of the main challenges of organisations today is how to navigate their development into ideal sustainable organisations. However, each readiness level requires a different rubric of indicators. Therefore, this study develops a corporate sustainability maturity model (CSMM), which can be used by organisations to conduct self-assessments, identify their current sustainability maturity levels and transition into mature sustainable organisations.

This CSMM comprises various maturity domains, sub-domains and levels as well as a rubric of indicators for assessing the maturity of corporate sustainability. In its development, a systematic literature review examined existing maturity models, after which a pilot study, based on the literature review, content analysis and expert interviews, was used to create a prototype of the CSSM. Finally, the model was refined and expanded by considering practitioners' feedback and the tendencies of other sustainability maturity models.

On the basis of the findings, some Indonesian organisations conducted sustainability activities, without having a strategic plan. Moreover, the factors driving organisations to conduct sustainability efforts included external and internal pressure. However, typical factors, such as awareness of sustainability and organisational reputation gained from conducting sustainability activities, were insignificant in the sample.

This CSMM is the first sustainability maturity model developed for readiness assessment in an Indonesian context. Through this CSMM, organisations can determine their current readiness level of sustainability maturity and choose the correct indicators to help improve each sustainability domain in the matrix.

Organizational capabilities are crucial to achieve the objectives. A plethora of maturity models is available to guide organizational capabilities that create a perplexing situation about what stuff to improve and what to leave. Therefore, a unified maturity model addressing a wide range of capabilities is a necessity. This paper establishes that a flexibility maturity model is an unified model containing the operational, strategic and human capabilities.

This paper does a comparative analysis/benchmarking studies of different maturity models/frameworks widely used in the information technology (IT) sector with respect to the flexibility maturity model to establish its comprehensiveness and application in the organization to handle multiple goals.

This study confirms that the flexibility maturity model has the crucial elements of all the maturity models. If the organizations use the flexibility maturity model, they can avoid the burden of complying with multiple ones and become objective-driven rather than compliance-driven.

The maturity models used in information technology sectors are used. This work will inspire other maturity models to adopt flexibility phenomena.

The comparative analysis will give confidence in application of flexibility framework. The business environment and strategic options across organizations are inherently different that the flexibility maturity model well handles.

A choice is put to an organization to see the comparison tables produced in this paper and choose the right framework according to the prevailing business situation.

This is the first study that makes a conclusion based on comparative benchmarking of existing maturity models.

Claim formation is a fact and a regular occurrence in construction industry projects and often leads to a waste of money and time for organizations. Organizations can, however, reduce and control claims by promoting an integrated claim management system and improving productivity in the results of the claims. Establishing a claim management office is one of the ways to help organizations achieve this.

Based on library research, expert opinion and analysis of organizations' contracts as case studies and identifying the root causes of the claim, this paper proposes a claim management office maturity model and determines its levels.

This paper proposes a claim management office maturity model and also determines its levels. The general structure of this model is based on three parameters: “characteristics of each level,” “requirements of each level” and “transition period of each level” in five levels, where the first level is the most basic level and level five is the highest level of the implementation of a claim management office in the organization.

It can be clearly emphasized that this research is one of the first research studies that has dealt with the issue of claim management office in the construction industry and has proposed the model of maturity and development of claim management office in the organization. The use of numerous and experienced experts in achieving the results and case organizations to develop this research has increased the value and credibility of this research. This study also helps to improve the level of claim management in construction industry organizations so that these organizations can implement each level of claim management maturity model in the organization according to their competence and need for claim management. And by implementing it correctly, solve or reduce the problems of claim management in the organization and their projects.

The purpose of this paper was to review the indicators for the three aspects (environment, economy and society) of sustainability (the triple-bottom line (TBL) perspective) for manufacturing sectors. In addition, this paper aimed to: document the sustainability indicators for manufacturing sectors; perform an analysis of these indicators to show their evolutional progress and maturity in terms of their consistent, repeated and standardized usage; and highlight the further work needed to make them mature and more standardized.

The following keywords were used to explore and find the relevant articles: sustainable manufacturing evaluation, sustainability indicators, life cycle assessment, tools for sustainability assessment, and economic and social evaluation in industries. To find articles within this sample, the major focus remained on the terms “indicators,” “metrics,” and “performance measures.” This paper systematically reviewed the studies and analyzed the different sustainability indicators from the TBL viewpoint. Following this, the documented indicators were critically discussed along with their evolutional progress and maturity level.

The results showed that solid waste was the least used and immature aspect in the environmental category, whereas the more frequently used and developed indicators were related to material used, energy used and air emissions. Economic assessment was most of the time limited to cost-based indicators. From a social viewpoint, most of the reviewed studies were based on workers and local community and society related indicators rather than consumers-based indicators. From a sectoral viewpoint, comparatively, studies for metal manufacturing industries were more focused on all three dimensions of sustainability. On an overall basis, of the 144 discussed indicators, almost 34 percent (49) were used just once. Comparatively, the usage of indicators was more mature in manufacturing activities of developed countries than developing ones. Moreover, the usage of indicators was more common at the product level than at the other levels.

Unlike previous sustainability indicator sets which were generally long lists of proposed indicators rather than applicable and measurable ones, this paper reported the indicator sets based on studies for manufacturing sectors. Moreover, in contrast to previous reviews on indicators which were mostly based on the environmental dimension, this paper included all three dimensions of sustainability in one comprehensive review while focusing on recent studies published from 2007 to 2017. This paper has explored the recent evolutional progress and maturity of sustainability indicators, and provided insights into their development in manufacturing sectors.

Building Information Modeling (BIM) capabilities have been studied at the individual, project, organizational, and even industry levels to ensure the realization of BIM value in the architectural, engineering, construction, and operation industry. However, limited research has focused on a project owner organization perspective to investigate owner BIM capabilities that are required to ensure effective project management and delivery. This present study aims to propose an indicator framework to evaluate owner BIM capabilities at the organizational level.

Leveraging the existing literature on BIM capabilities and synthesizing insights from the resource-based view and information technology capabilities research, this study conceptualizes the BIM capabilities of project owner organizations and offers a framework of indicators for measurement. Semi-structured interviews with BIM experts and a questionnaire survey were conducted to identify key indicators affecting owner BIM capabilities. A six-dimensional structural equation model with 29 indicators was then established.

The findings highlight the multidimensionality of owner BIM capabilities and show that process capabilities play a crucial role in enhancing owner BIM capabilities, while technical capabilities are considered as the least important aspect.

The study sheds light on the key role of project owner organizations in ensuring BIM value and suggests that project owners focus more on the organizational processes of introducing BIM in managing projects.

This study reconceptualizes owner BIM capabilities drawing on the idea of resource-based view and information technology capabilities and highlights the important dimensions and indicators of owner BIM capabilities at the organizational level.

This study aims to develop a business process maturity model, especially on operation processes, based on the characteristics of each organisational growth stage, to increase small and medium enterprises (SMEs) growth. With this information, SMEs can identify their needs and priorities for business process improvement based on the characteristics that are inherent in the organisation.

The proposed model was developed by reviewing the literature on previous studies related to the organisational life cycle and its characteristics, as well as a business process maturity model. Furthermore, historical case studies were conducted to validate the proposed model. Case study objects in this research were fashion industry companies that have grown from an SME scale to national level.

The results of this research indicate that the characteristics of each growth stage are different, which led to increased complexity and maturity of business processes run. Therefore, SMEs should pay attention to their growth stages, as a basis to improve their business process maturity, especially on the critical processes, which are evaluate products performance, design products and services and monitor sales. Through this model, SMEs can determine the business’ current growth stage and use the proposed model as guidance for business process improvement to accelerate organisational growth.

Validation of the proposed model was done by conducting a historical case study. To generalise the model, it is recommended to survey similar industry and test quantitatively using statistical methods. However, further research can be used in other industries that might yield different results. Besides, this research can also be developed in the supporting process categories.

This study provides a practical guide for SMEs to identify their current growth stage, and implement the measurement of business process maturity level. Maturity level standard at every growth stage can be used in determining the priority of business process improvement to drive organisational growth.

Through this research, the BPMM method was developed to enable SMEs to implement a self-evaluation process without seeking external assistance and assess their needs through a clear and understandable scale allowing for further development of the business. By using this method, SMEs can manage their business processes maturity level to encourage its growth.

This paper aims to identify and appropriately respond to any socio-technical gaps within organisational information and cybersecurity practices. This culminates in the equal emphasis of both the social, technical and environmental factors affecting security practices.

The socio-technical systems theory was used to develop a conceptual process model for analysing organisational practices in terms of their social, technical and environmental influence. The conceptual process model was then applied to specifically analyse some selected information and cybersecurity frameworks. The outcome of this exercise culminated in the design of a socio-technical systems cybersecurity framework that can be applied to any new or existing information and cybersecurity solutions in the organisation. A framework parameter to help continuously monitor the mutual alignment of the social, technical and environmental dimensions of the socio-technical systems cybersecurity framework was also introduced.

The results indicate a positive application of the socio-technical systems theory to the information and cybersecurity domain. In particular, the application of the conceptual process model is able to successfully categorise the selected information and cybersecurity practices into either social, technical or environmental practices. However, the validation of the socio-technical systems cybersecurity framework requires time and continuous monitoring in a real-life environment.

This research is beneficial to chief security officers, risk managers, information technology managers, security professionals and academics. They will gain more knowledge and understanding about the need to highlight the equal importance of both the social, technical and environmental dimensions of information and cybersecurity. Further, the less emphasised dimension is posited to open an equal but mutual security vulnerability gap as the more emphasised dimension. Both dimensions must, therefore, equally and jointly be emphasised for optimal security performance in the organisation.

The application of socio-technical systems theory to the information and cybersecurity domain has not received much attention. In this regard, the research adds value to the information and cybersecurity studies where too much emphasis is placed on security software and hardware capabilities.

The purpose of this paper is to define the individual leadership competencies that are necessary to implement and sustain lean systems, based on a multi-method approach.

Data collection involved a literature review of lean competencies, interviews with four experts from the university and the industry, and an empirical survey answered by 91 respondents, who represented companies from several sectors. These techniques provided a mix of qualitative and quantitative data, which set a basis for identifying a list of competencies and discussing its validity.

In total, 16 lean leadership competencies were identified and validated, in terms of content validity, face validity, and predictive validity. Regarding this latter validity type, the survey results indicated that the competencies are positively associated with key operational performance indicators, organizational maturity level of lean, and leaders’ experience with lean systems.

The identified list of competencies may be a basis for the development of formal lean leadership development programs. The list may also support the design of tools for assessing the competencies of leaders in lean companies.

A list of 16 lean leadership competencies was developed based on a verifiable research method that used a mix of data collection techniques. This methodological approach is a distinctive characteristic in comparison with earlier studies, which did not include an empirical validation of the competencies.