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The purpose of this study is to explore existing literature on Building Information Modelling (BIM) in Malaysia and examine the perception of practitioners about the potential of BIM applications in reducing construction waste and enhancing productivity.

First, using 244 bibliographic data extracted from the Scopus database, the paper used scientometric analysis and VOSviewer mapping technique to assess the most impactful publication literature on BIM in Malaysia to identify the existing research gaps. Second, using a structured questionnaire, a total of 100 questionnaires were distributed to practising practitioners who incorporate BIM in the delivery of their projects. Descriptive analysis using cross-tabulation in SPSS software, radar chart, relative importance index and Pearson’s correlation were used to analyze the data.

The research gaps are in the fields of construction projects, buildings, energy efficiency, lifecycle and housing. The findings of the survey indicate that quantity take-off, clash detection, site utilization planning, digital fabrication as well as 4D stimulation were the main BIM applications used among the practitioners in Johor and Selangor.

By assessing the state-of-the-art of BIM and BIM applications in this region, the practical implications of this study provide useful insights to construction stakeholders, funding organizations, policymakers, research institutions, professionals, journal editors, reviewers and researchers to understand the overall trend of BIM in Malaysia and its usage.

This paper is the first to use science mapping using scientometrics to reveal the current BIM research in “Malaysia only”. Relying on the identified gaps, the study further examined the usage of BIM applications in Malaysian construction projects.

This study explores digital transformation in the tea supply chain within developing economies, with a focus on smallholder tea producers in Sri Lanka. Tea is one of the most widely consumed beverages in the world. Among the tea producers, smallholder tea producers account for a substantial portion of total tea production in several countries. Mobile phones play a significant role in providing smallholder producers with access to crucial agricultural information, markets and financial services.

This study adopts a deductive approach, analysing mobile phone ownership, literacy, experience and perception among smallholder tea producers. The chi-squared test of independence and hierarchical clustering methods were used to test the hypotheses and address the research questions.

The study identifies four clusters of smallholder tea producers as Basic Tech Adopters, Digital Laggards, Skeptical Feature Phone Users and Tech-savvy Adopters based on their characteristics towards mobile-based technologies. Approximately 75% of the surveyed sample, which included both tech-savvy and basic-tech adopters, showed a positive attitude toward adopting mobile-based agricultural technologies.

The study suggests developing targeted strategies and policies to enhance the productivity of the smallholder tea production process in developing economies. The study highlights the importance of awareness, access, affordability and availability when implementing digital services for businesses at the base of the pyramid, such as tea smallholdings in developing economies.

The present study aims to address the lack of data-driven empirical studies on the use of mobile phones in smallholder settings. The findings of this study enable the enhancement of entrepreneurship within the tea production supply chain, especially, within stakeholders who deliver digital transformation support services.

Nature’s contribution to people (NCP) is a concept that specifically recognizes the relationship of “humans and the natural environment” similarly to concepts of “cultural landscapes” and consistent to “heritage.” These concepts are essential in incorporating a diverse range of stakeholders from different scales, which is important for policy and practice. The paper aims to review the existing peer-reviewed papers in the Philippines, using meta-analysis and systematic review. We addressed the significant interlinkages that help facilitate the transition and strengthen the correlation of cultural ecosystem services (CES) and NCP in a cultural landscape setting.

To distinguish and support claims for NCP from CES, we conducted a meta-analysis and systematic review based on the 30-existing peer-reviewed articles on the Philippine cultural ES in the lenses of “heritage” and “cultural landscape.”

The results generated a few numbers of the Philippine CES studies, yet it has increased cumulatively year by year consistent with previous international studies. We found that most studies are focused on topics associated with “Indigenous People, Ancestral Domains, Protected Areas/Landscapes, and Indigenous and Local Knowledge” on the linkages concurrently distinguishing NCP to CES, and may signify stronger economic valuation in uncovering the sociocultural dimensions of these scholarships through its relational values in the lenses of cultural landscape and heritage.

The authors limited the search to peer-reviewed journal articles published from online databases and did not consider Philippine University based and local publications to have a systematic review. This is to prevent underestimating the vast amount of CES literature and avoid gray literature that is not peer-reviewed; hence, being able to analyze and produce focused, yet, credible data.

In a generalizing perspective, NCP 1, 6, 8, 12, 13, 15, 16, 17 and 18 have the most realized positive correlations of the reporting categories to the Philippine CES studies. The majority of the context-specific perspective NCP has strong conceptual claims in the existing Philippine CES literature through the studies’ variables aside from NCP 3, 4, 5, 7, 8 and 11 that are still mostly in the nature of generalizing perspective.

In conclusion, our results imply that the previous and existing CES studies in the Philippines harbor more attributes presented by the NCP reporting categories. This is deemed more suitable, and may signify stronger economic valuation in uncovering the sociocultural dimensions of these scholarships through its relational values in the lenses of cultural landscape and heritage.

This study aims to develop a modular and prescriptive digital transformation maturity model whose constituent elements have conceptual integrity as well as reveal the priority weights of maturity model components.

A literature review with a concept-centric analysis enlightens the characteristics of constituent parts and reveals the gaps for each component. Therefore, the interdependency network among model dimensions and priority weights are identified using decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP) method, including 19 industrial experts, and the results are robustly validated with three different analyses. Finally, the applicability of the developed maturity model and the constituent elements are validated in the context of the manufacturing industry with two case applications through a strict protocol.

Results obtained from DEMATEL-based ANP suggest that smart processes with a priority weight of 17.91% are the most important subdimension for reaching higher digital maturity. Customer integration and value, with a priority weight of 17.30%, is the second most important subdimension and talented employee, with 16.24%, is the third most important subdimension.

The developed maturity model enables companies to make factual assessments with specially designed measurement instrument including incrementally evolved questions, prioritize action fields and investment strategies according to maturity index calculations and adapt to the dynamic change in the environment with spiral maturity level identification.

A novel spiral maturity level identification is proposed with conceptual consistency for evolutionary progress to adapt to dynamic change. A measurement instrument that is incrementally structured with 234 statements and a measurement method that is based on the priority weights and leads to calculating the maturity index are designed to assess digital maturity, create an improvement roadmap to reach higher maturity levels and prioritize actions and investments without any external support and assistance.

Traditional multivariable grey prediction models define the background-value coefficients of the dependent and independent variables uniformly, ignoring the differences between their physical properties, which in turn affects the stability and reliability of the model performance.

A novel multivariable grey prediction model is constructed with different background-value coefficients of the dependent and independent variables, and a one-to-one correspondence between the variables and the background-value coefficients to improve the smoothing effect of the background-value coefficients on the sequences. Furthermore, the fractional order accumulating operator is introduced to the new model weaken the randomness of the raw sequence. The particle swarm optimization (PSO) algorithm is used to optimize the background-value coefficients and the order of the model to improve model performance.

The new model structure has good variability and compatibility, which can achieve compatibility with current mainstream grey prediction models. The performance of the new model is compared and analyzed with three typical cases, and the results show that the new model outperforms the other two similar grey prediction models.

This study has positive implications for enriching the method system of multivariable grey prediction model.

Industry 4.0 has offered significant potential for manufacturing firms to alter and rethink their business models, production processes, strategies and objectives. Manufacturing organizations have recently undergone substantial transformation due to Industry 4.0 technologies. Hence, to successfully deploy and embed Industry 4.0 technologies in their organizational operations and practices, businesses must assess their adoption readiness. For this purpose, a multi-dimensional analytical indicator methodology has been developed to measure Industry 4.0 maturity and preparedness.

A weighted average method was adopted to assess the Industry 4.0 readiness using a case study from a steel manufacturing organization.

The result revealed that the firm ranks between Industry 2.0 and Industry 3.0, with an overall score of 2.32. This means that the organization is yet to achieve Industry 4.0 mature and ready organization.

The multi-dimensional indicator framework proposed can be used by managers, policymakers, practitioners and researchers to assess the current status of organizations in terms of Industry 4.0 maturity and readiness as well as undertake a practical diagnosis and prognosis of systems and processes for its future adoption.

Although research on Industry 4.0 maturity models has grown exponentially in recent years, this study is the first to develop a multi-dimensional analytical indicator to measure Industry 4.0 maturity and readiness.

Although educators would likely agree that values and ethics are important in all disciplines, they have particular importance for practice-oriented fields. These applied professionals need to solve complex social problems that require the application of ethical standards and value perspectives. While the importance of value-engaged practice is known to the applied field, there is little research and conversation about how values can be integrated into teaching. This chapter synthesizes values-education approaches in various practice-based disciplines such as public administration (PA), program evaluation, social work, and public health. This chapter draws from empirical and theoretical works as well as the authors' experiences developing, participating in, and conducting values-based research on professionals and professional education.

Introduction: Today the ability of nations to develop and implement innovations is core for their international competitiveness. Ukraine is striving for innovation progress; however, its innovation performance is relatively low. The research problem is to find the bottlenecks, affecting Ukraine’s innovation capability.

Purpose: This study aims to research the national innovation capability profiles, based on cluster analysis, to develop an understanding of drivers and threats for the innovation capability of Ukraine.

Need of the study: The knowledge-based economy, which had already turned into one of the most efficient developmental models of the 21st century, became a key driver of international competitiveness for the leading developed countries due to their progressive structural shifts towards the growth of high-technology manufacturing and knowledge-intensive sectors. These trends are significant to capture for the sake of increasing the innovation capability of the economy of Ukraine.

Methodology: The study is based on the K-means clustering method, which is employed for identifying 10 country clusters based on the indicators of their R&D and innovation activities, which allowed us to assess the innovation capability of Ukraine in comparison with 140 countries of the world. Data selection and normalisation were based on the 2019 Global Competitiveness Report indicators.

Findings: The study showed that Ukraine’s innovation capability problems are typical for most developing countries and are prevalently connected to low R&D expenditures, patent applications, and international co-invention activities. Most countries, except for the technologically developed ones, follow the so-called ‘passive technological learning’ strategies, which usually result in low economic productivity.

Practical implications: Several innovation policy implications have been developed for the government of Ukraine based on the cluster analysis results and accounting for the problems of the national innovation system (NIS).

The importance of multidimensional and engaging instruction for sustainable development goals (SDGs) in higher education cannot be overstated. Such instructions should motivate students not only to memorize and contemplate these goals but also to actively participate in addressing SDG-related challenges. Consequently, this study aims to develop practical and appropriate instructional approaches to education for sustainable development (ESD) in higher education to enhance students’ knowledge, attitudes and behaviors concerning sustainability.

By using a quasi-experimental design, this ESD study was conducted at a university in central Taiwan. A total of 121 students from diverse academic backgrounds participated in the 16-week experiment, which was divided into three groups. Lecturing, thematic teaching and design-thinking strategies were applied to these respective groups.

The thematic-teaching and design-thinking groups displaying improved cognitive performance. However, the quantity results revealed that the design-thinking group surpassed the other two groups in sustainability knowledge, attitudes, behaviors and mind map tasks. The qualitative findings further indicated that design thinking – through multiple practical problem-solving activities – guided college students to think independently and sustainably, as well as enabled them to internalize the value of sustainable development. By implementing these effective approaches, the core goals of ESD-related personal and societal transformations may be realized.

This study proposed a goal-oriented ESD instructional model for educators, demonstrating the efficacy of design thinking in cultivating higher-order thinking and affection for ESD in students. Additionally, this study introduced an innovative evaluation approach – mind mapping – to the ESD domain, which may compensate for the limitations of the survey method.

This study provides empirical evidence for the effectiveness of design thinking and thematic-based pedagogies in sustainable development higher education. Additionally, it also offers a practical ESD instructional model with reference value for scholars and multi-domain instructors. Moreover, the study highlights that by examining organizational governance from the perspectives of design thinking and higher-order affection, sustainable and economic development need not be mutually exclusive concepts. Instead, pursuing SDGs can be viewed as investment opportunities for organizations rather than mere costs.

In Bangladesh (BD), delays in infrastructure are common. Many previous studies have explored the causes of infrastructure delays. However, this study investigated the causes of delays by taking responses from the stakeholders who are responsible for planning, design, funding, approval and implementation. There are few studies that have related infrastructure project delays to heterogeneity in stakeholders’ perceptions.

A structural equation (SE) model is developed with 350 normally distributed data points to understand the heterogeneity in stakeholders’ perceptions regarding delays in infrastructure projects in BD. Additionally, the relative importance index (RII) approach is used to assess the responses, validating the SE model.

The study finds that among the three latent variables, “Project itself related delay” has more influence on delays in infrastructure projects. Among the observed variables under the “project itself related delay” latent variable, “DPP approval process” has the most significance. From the heterogeneity analysis, the study found differences in responses among the stakeholders from “the Engineering Department,” “the Planning Office” and “the Construction Firm/Industry.” An important class of stakeholders believes that their stage is not being delayed and that other stages require attention.

The data sample is 350. More data can improve the accuracy of the findings. Most of the respondents are civil engineers (74%) and represent the owner of the project. Sample data from more stakeholders’ will enhance the accuracy of the result.

This study addresses the requirements of Bangladeshi project stakeholders and how their interactions cause delays in projects. Furthermore, the opinions of other stakeholders are taken into consideration when determining the specific factors of individual stakeholders that are causing delays. Practically, the distance between stakeholders should be reduced. A project manager can play a role in this regard. Initiatives should be taken on how to complete the project quickly by eliminating the requirements discussed among the stakeholders and bureaucratic complications. Instead of placing blame on one another, stakeholders should take the initiative to figure out how to work together to finish the project on schedule. The Planning Commission’s approval of the Development Project Proposal (DPP) and Revised Development Project Proposal (RDPP) should be obtained as soon as possible by owner stakeholders. In order to avoid frequently changing the DPP, owners should also exercise greater caution when choosing contractors. Contractor stakeholders should use efficient and proper manpower and equipment so that unexpected delays are not created during the execution of work. Since the role of the contractor stakeholder is the most important among the three types of stakeholders, the contractor should raise awareness and urge the owners to get the RDPP approved quickly.

The findings from the study can help mitigate delays in infrastructure projects in BD, taking into account the perceptions of various stakeholders.