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Total risk score (TRS) is considered one of the main indicators for risk evaluation. Several studies attempted to employ different types of risk indices for the evaluation of cost overrun causes. Hence, this study aims at performing a comparative analysis to evaluate the efficiency of three different approaches for TRS calculation.

Thirty-eight unique causes of cost overrun in urban-related construction projects were identified and a survey was conducted among construction professionals in Iran. The TRS for each cost overrun cause is calculated using single-attribute (SA), double-attribute (DA), and multiple-attribute (MA) approaches, and eventually, causes were ranked. Furthermore, principal component analysis (PCA), logistic regression analysis (LRA), and K-means clustering are utilized to compare the differences in the generated TRS using different approaches.

The results revealed that the TRS generated through the MA approach demonstrated the highest efficiency in terms of generating correlation between causes and their identified latent constructs, prediction capability, and classification of the influential causes in the same group.

The originality of this study primarily stems from the adoption of statistical approaches in the evaluation of the recently introduced TRS calculation approach in comparison to traditional ones. Additionally, this study proposed a modified application of the relative importance index (RII) for risk prioritization. The results from this study are expected to fulfill the gap in previous literature toward exploring the most efficient TRS calculation approach for those researchers and practitioners who seek to utilize them as a measure to identify the influential cost overrun causes.

This study aims to examine the link between financial reporting quality and investment efficiency in publicly listed firms in frontier markets, taking into account country-level investor protection. By comparing real and accrual earnings management, this paper demonstrates the context-dependent nature of the impact of financial reporting quality. It emphasises the importance of improving investor protection and reducing agency conflicts in promoting investment efficiency in frontier markets.

Accounting data from 1998 to 2020 are collected for all listed firms in six frontier market countries across 21 industries. Fixed-effect regression analysis is used to test causal relationships; several robustness checks are performed; and two-stage least squares is used to address endogeneity concerns.

Higher financial reporting quality improves investment efficiency in frontier markets. Furthermore, the positive effect is amplified when country-level investor protection in frontier markets is strong.

These findings add to the growing body of evidence showing that financial reporting quality improves investment efficiency, even in frontier markets. Furthermore, the level of investor protection within a country strengthens this relationship, particularly in firms that are prone to underinvestment.

Industry 4.0 (I4.0), the Fourth Industrial Revolution, integrates Big Data analytics, blockchain, cloud computing, digitisation and the Internet of Things to enhance supply chain (SC) activities and achieve sustainable growth through dynamic capabilities (DCs). This approach equips businesses with the necessary tools to optimise their operations and remain competitive in a dynamic business environment. The value proposition of a business encompasses a wide range of activities that add value at each stage. By leveraging DCs, a firm can achieve innovation, gain a competitive advantage and enhance its adaptability. Conversely, effective value chain management can amplify the influence of a firm's DCs on SC sustainability, by reducing waste, optimising resource utilisation and fostering strategic partnerships. This mutually beneficial connection takes the form of a dynamic interaction in which I4.0 technologies act as a catalyst to help organisations become more resilient, adaptive and responsive. The adoption of these technologies denotes a comprehensive approach to business shift, not merely technical integration. I4.0 has an impact on several organisational disciplines outside of manufacturing, from automation and efficiency advantages to quality enhancements. This chapter offers an extensive literature review to explore the level of SC sustainability that a business can achieve by combining its DCs and implementing strategic I4.0 adoption. The function of value chain management in moderating the effects of I4.0 and DCs on SC sustainability is also assessed. This study proposes a theoretical model that is grounded in the insights extracted from the literature review.

While the concept of reciprocity has gained traction in qualitative research, especially as the term relates to challenging power dynamics inherent within the research and evaluation process, a gap remains in understanding how a researcher's or elevator's cultural background shapes the way reciprocity is conceptualized and practiced. We explore how Filipino concepts connected to reciprocity (utang na loob, pakikipagkapwa, and alalay) inform the practice of Filipina American researchers and evaluators in academia. We use Sikolohiyang Pilipino and Critical Kapwa in the conceptual framework to guide our study and employ a collaborative autoethnography (CAE) methodology. We present three findings: (1) reciprocity and utang na loob as a nontransactional debt, (2) reciprocity and pakikipagkapwa as seeing the humanity in others, and (3) reciprocity and alalay as carrying the weight together. We discuss this study's implications – regarding theorizing reciprocity, using collaborative autoethnography as methodology, and reclaiming deeper ways of knowing from a critical perspective – for transforming evaluation and research practice. Specifically, through a collaborative autoethnography, we learned the importance of understanding the nuances of language (i.e., Tagalog and other Filipino languages) as a decolonizing approach to arriving at our analysis of pakikipagkapwa through kuwentuhan. Methodologies that attend to a culturally responsive evaluation and research practice – –such as CAE and kuwentuhan– – amplify the voices of silenced communities. Lastly, deeply understanding the cultural context of evaluators' and researchers' experiences and cultural identities as well as studying oneself through a collaborative autoethnography can create practices of reciprocity that have been buried by settler colonialism.

Blockchain technology (BCT) is considered a promising tool to improve the productivity of construction project management. Existing research has studied its potential costs and benefits for the construction industry. However, the potential costs and benefits of BCT failed to be compared as actual costs and benefits of specific applications for stakeholders. To fill this gap, this study seeks to analyze the cost-effectiveness of BCT-based applications in construction project management.

This study is conducted with a customized systematic literature review based on transaction cost theory to enable qualitative comparison. With a deliberately designed structure confining extraneous variables, the costs and benefits of BCT-based applications are identified and compared. The inherent dependent relations of processes and the evolution relations of functions are identified. The cost-effectiveness of blockchain adoption is then analyzed.

Seven functions and six challenges are identified within five processes. The result suggests all identified functions are cost-effective except for manual instruction (coding smart contracts manually). The smart contracts require explicit definition and logic to be effective. However, the construction projects essentially require the institution to be flexible due to unpredictability. The adoption of smart contracts and corresponding additional requirements can increase the transaction cost of bounded rationality.

As manual instruction is fundamental to realize other functions, and its advanced substitute relies on its broad adoption, its cost-effectiveness must be improved for applications to be acceptable to stakeholders. The establishment of a universal smart contract model and a universal, legitimate and efficient database structure are recommended to minimize the cost and maximize the effect of applications.

This study contributes to the knowledge by providing a comprehensive analysis of BCT adoption’s cost-effectiveness in construction project management. The adopted review structure can be extended to analyze the qualitative benefits and challenges of management automation in the early stages.

The advent of Industry 4.0 (I4.0), characterised by rapid technological advancement, presents a transformative opportunity for companies to adapt and innovate in all aspects of life. However, I4.0 also ushers in challenges related to resource scarcity, waste generation, pollution and sustainability concerns, particularly in operations and supply chain management (OSCM). Despite the growing importance of I4.0 for supply chain sustainability, more research must be conducted on the processes required to foster sustainable innovation through these technologies. This study aims to bridge this gap by exploring the role of multi-criteria decision-making (MCDM) methods in evaluating the factors that affect sustainable digitalisation within OSCM. The research analyses how MCDM methods can facilitate sustainable digitalisation in OSCM, the primary MCDM methods used for sustainable digitalisation in OSCM and the key indicators for measuring sustainable digitalisation in OSCM. Therefore, this study offers a unique contribution by exploring the uncharted territory of MCDM methods in the context of I4.0 and sustainability within OSCM, shedding light on essential indicators for this critical transformation, and equipping managers with the knowledge needed to steer their organisations towards a sustainable digital future.

Purpose: The primary purpose is to discuss the productivity and digitalisation interaction at the theoretical level, analyse the productivity and digitalisation differences between the European Union (EU)-14 and EU-13 countries, and evaluate the digitalisation impact on the manufacturing sector labour productivity of the EU countries.

Need for study: The average added value created per capita in new EU countries (EU-13) is one-third lower than in old EU countries (EU-14). To increase productivity, manufacturing companies must adapt to modern trends and take advantage of industrial digitisation opportunities. Digitisation can improve production efficiency, reduce costs, and improve product quality, allowing continuous monitoring and analysis of production data, enabling informed decisions and faster problem-solving.

Methodology: Analysis of scientific literature, comparing viewpoints, insights, and conclusions. The empirical study includes calculating rates of change of indicators, differences between EU-14 and EU-13, and structural analysis. The impact of digitisation on the productivity of EU countries is studied by creating a correlation matrix and using regression analysis: ordinary least square models.

Findings: EU-13 countries are behind EU-14 in labour productivity and manufacturing digitalisation. Digitalisation positively impacts productivity per employee. A faster increase in digitisation, industrial robot use, and e-commerce sales could significantly increase productivity in EU-13, reducing productivity differences between countries.

Practical implications: This study highlights the need for policy promoting digitisation innovation, particularly in EU-13 countries, to be implemented by both national and EU-based economic development and regional and cohesion institutions.

Organic coatings are widely used for protecting metal equipment and structures from corrosion. Accurate detection and evaluation of the protective performance and service life of coatings are of great importance. This paper aims to review the research progress on performance evaluation and lifetime prediction of organic coatings.

First, the failure forms and aging testing methods of organic coatings are briefly introduced. Then, the technical status and the progress in the detection and evaluation of coating protective performance and the prediction of service life are mainly reviewed.

There are some key challenges and difficulties in this field, which are described in the end.

The progress is summarized from a variety of technical perspectives. Performance evaluation and lifetime prediction include both single-parameter and multi-parameter methods.

The intricate dynamics of ChatGPT adoption among Indian students are discussed while exploring the factors outlined by Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). By assessing these factors, this study aims to unravel their impact on the behavioral intention to use ChatGPT.

While evaluating ChatGPT's adoption dynamics, this study analyses the UTAUT2 core factors and perceived benefits. Real-time data from 638 business and management students in India were collected through purposive sampling and a cross-sectional survey. An in-depth examination using IBM SPSS and AMOS revealed the patterns that regulate ChatGPT reception in educational settings.

Habit emerges as a powerful predictor, which aligns with the Habit Loop Theory's cues, routine and rewards. Perceived benefits significantly influence adoption, and traditional factors like performance expectancy and social influence exert no influence. The insignificance of effort expectancy challenges conventional understanding, unveiling novel aspects of student tech adoption.

There is a need for guidelines to ensure fair and responsible use of ChatGPT among students. While ChatGPT presents advantages like task automation and personalized learning, integrating it into the existing education system requires careful planning to harness its benefits effectively.

With the recent introduction of Generative-AI tools, understanding student acceptance and application is essential. This research sheds light on this emerging technology, emphasizing the importance of analyzing technology acceptance for its successful adoption.

This study aims to investigate the drivers of the internationalization scope of born global from the digital and software solution sector in an emerging economy context, which presents an unexplored avenue of research. This study endeavors to understand the individual and market-level drivers of internationalization scope. Relying on the effectuation and causation framework and reactive/proactive driver typology, this paper sheds light on the individual decision-maker’s makeup and market conditions that influence the changes between strategies in the internationalization process.

A qualitative multiple case study approach is used to explore drivers of the internationalization scope of born globals. Seven born globals from the digital and software solution sectors were depicted, and interviews with their founders were conducted.

Study findings support the utilization of effectuation theory in explaining the scope of internationalization of born globals. Furthermore, the findings attest that the two decision-making logics are interchangeable. On the market level, several context-specific factors have stirred the diversity of markets pursued by born globals. The findings evince that the founders of the born globals perceive the domestic market as small and underdeveloped; therefore, they seek more developed, easily accessible, distant markets.

The study contributes to a better understanding of the internationalization of born globals in an emerging economy context. We find that born globals change their strategies iteratively with the stage of internationalization.