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In light of the repercussions of the COVID-19 pandemic, electronic auditing otherwise known as computer-assisted audit tools and techniques (CAATTs) has become inevitable to automate the auditing process worldwide. Accordingly, the purpose of this study is to examine the influence of technological, organizational and environmental (TOE) factors on public sector adoption of CAATTs in developing countries such as Jordan under the COVID-19 pandemic conditions.

This study used 136 usable responses from the managers of internal audit (IA) of the Jordanian public sector entities. The data collected were analyzed using partial least squares-structural equation modeling. The TOE framework has been used in this study to consider a wide set of TOE factors. Then, this study suggests a CAATTs adoption model that incorporates the related technology factors of the diffusion of innovation theory to environmental and organizational factors. Further, this study contributes to the TOE framework by addressing government regulations, audit bodies’ support and audit task complexity as environmental factors affecting CAATTs adoption in the context of the public sector.

The results revealed that for technological factors, only the compatibility affects CAATTs adoption by the IA departments. For organizational factors, organizational readiness, top management support, auditors’ information technology competency and entity size were found to be significant factors. From the environmental factors, both government regulation and audit task complexity influence the CAATTs adoption. Besides, entity size moderates the influence of top management support on the CAATTs adoption in the public sector.

The findings could highlight the significance of the CAATTs adoption in the public sector institutions (by internal auditors) post-COVID-19, taking into consideration the TOE framework’s factors. Also, the findings are significant for the decision-makers and regulators in declaring new legislation for the electronic IA profession in the Jordanian public sector.

It turns out that the CAATTs adoption in the public sector can definitely enhance their ability to achieve the role of IA in preserving public funds and restricting corrupt practices within the public sector.

To the best of the authors’ knowledge, this study is one of the first studies that address the professional audit agency support and audit task complexity as environmental factors, as well as the entity size as an organizational factor, that affect CAATTs adoption in the IA department of the public sector.

This study delves into the challenges obstructing the integration of blockchain-enabled smart contracts (BESC) in the construction industry. Its primary objective is to identify these barriers and propose a roadmap to streamline BESC adoption, thereby promoting sustainability and resilience in building engineering.

Employing a unique approach, this study combines the Technology-Organization-Environment-Social (TOE + S) framework with the IF-Delphi-HF-DEMATEL-IFISM methodology. Data is collected through surveys and expert interviews, enabling a comprehensive analysis of BESC implementation barriers.

The analysis reveals significant hindrances in the construction industry’s adoption of BESC. Key obstacles include economic and market conditions, insufficient awareness and education about blockchain technology among stakeholders, and limited digital technology integration in specific cultural and societal contexts. These findings shed light on the complexities faced by the industry in embracing blockchain solutions.

The research makes a significant contribution by combining the TOE + S framework with the IF-Delphi-HF-DEMATEL-IFISM methodology, resulting in a comprehensive roadmap to address barriers in implementing BESC in Sustainable Construction Projects. Noteworthy for its practicality, this roadmap provides valuable guidance for construction stakeholders. Its impact extends beyond the industry, influencing both academic discourse and practical applications.

This study aims to establish an evaluation method for cross-regional major infrastructure project (CRMIP) supportability. The focus is to identify evaluation indicators from a complexity perspective and develop an evaluation model using qualitative and quantitative methods. Case studies are carried out to verify the reliability of the evaluation model, thereby providing theoretical and practical guidance for CRMIP operations and maintenance (O&M).

Guided by the idea of complexity management, the evaluation indicators of CRMIP supportability are determined through literature analysis, actual O&M experience and expert interviews. A combination of qualitative and quantitative methods, consisting of sequential relationship analysis, entropy weighting, game theory and cloud model, is developed to determine the indicator weights. Finally, the evaluation model is used to evaluate the supportability of the Hong Kong–Zhuhai–Macao Bridge (HZMB), which tests the rationality of the model and reveals its supportability level.

The results demonstrate that CRMIPs' supportability is influenced by 6 guideline-level and 18 indicator-level indicators, and the priority of the influencing factors includes “organization,” “technology,” “system,” “human resources,” “material system,” and “funding.” As for specific indicators, “organizational objectives,” “organizational structure and synergy mechanism,” and “technical systems and procedures” are critical to CRMIPs' O&M supportability. The results also indicate that the supportability level of the HZMB falls between good and excellent.

Under the guidance of complexity management thinking, this study proposes a supportability evaluation framework based on the combined weights of game theory and the cloud model. This study provides a valuable reference and scientific judgment for the health and safety of CRMIPs' O&M.

This paper aims to identify potential barriers to Industry 4.0 adoption for manufacturers and examine the changes that must be made to production processes to implement Industry 4.0 successfully. It aims to develop technology by assisting with the successful implementation of Industry 4.0 in the manufacturing process by using smart system techniques.

Multiple case studies are used in this paper by using the smart system and Matlab, and semi-structured interviews are used to collect qualitative data.

Standardization, management support, skills, and costs have been cited as challenges for most businesses. Most businesses struggle with data interoperability. Complexity, information security, scalability, and network externalities provide challenges for some businesses. Environmental concerns are less likely to affect businesses with higher degrees of maturity. Additionally, it enables the Technical Director’s expertise to participate in the measurement using ambiguous input and output using language phrases. The outcomes of the numerous tests conducted on the approaches are extensively studied in the provided method.

In this research, a multiple-case study aims to carry out a thorough investigation of the issue in its actual setting.

Reconstruction of old buildings is often necessary after prolonged usage, but these projects encounter various complexities, leading to their failure. However, there is a lack of studies that focus on investigating the complexity of old building reconstruction initiatives. Thus, this study aims to examine the complexity of reconstruction projects for old buildings in Vietnamese urban areas.

Through a literature review and discussions with experienced practitioners, 12 significant complexity factors were identified. The study then utilized the fuzzy decision-making trial and evaluation laboratory (DEMATEL) technique to analyze the interrelationships among these complexity factors.

The findings revealed intricate interdependencies among the complexity factors, visualized in a complexity map. The map highlighted the critical complexities of site compensation, clearance and the long project duration. Furthermore, a causal diagram categorized the complexity factors into net-effect and net-cause groups.

By examining the relationships and interactions among these factors, the study emphasizes the interconnected nature of complex systems and the influence of one factor on others. Therefore, decision-makers and stakeholders involved in reconstructing old buildings are suggested to possess a comprehensive understanding of these interdependencies to ensure effective decision-making.

This research aims to propose a model for the complex decision-making involved in the ecological restoration of mega-infrastructure (e.g. railway engineering). This model is based on multi-source heterogeneous data and will enable stakeholders to solve practical problems in decision-making processes and prevent delayed responses to the demand for ecological restoration.

Based on the principle of complexity degradation, this research collects and brings together multi-source heterogeneous data, including meteorological station data, remote sensing image data, railway engineering ecological risk text data and ecological restoration text data. Further, this research establishes an ecological restoration plan library to form input feature vectors. Random forest is used for classification decisions. The ecological restoration technologies and restoration plant species suitable for different regions are generated.

This research can effectively assist managers of mega-infrastructure projects in making ecological restoration decisions. The accuracy of the model reaches 0.83. Based on the natural environment and construction disturbances in different regions, this model can determine suitable types of trees, shrubs and herbs for planting, as well as the corresponding ecological restoration technologies needed.

Managers should pay attention to the multiple types of data generated in different stages of megaproject and identify the internal relationships between these multi-source heterogeneous data, which provides a decision-making basis for complex management decisions. The coupling between ecological restoration technologies and restoration plant species is also an important factor in improving the efficiency of ecological compensation.

Unlike previous studies, which have selected a typical section of a railway for specialized analysis, the complex decision-making model for ecological restoration proposed in this research has wider geographical applicability and can better meet the diverse ecological restoration needs of railway projects that span large regions.

Process mining (PM) has emerged as a leading technology for gaining data-based insights into organizations’ business processes. As processes increasingly cross-organizational boundaries, firms need to conduct PM jointly with multiple organizations to optimize their operations. However, current knowledge on cross-organizational process mining (coPM) is widely dispersed. Therefore, we synthesize current knowledge on coPM, identify challenges and enablers of coPM, and build a socio-technical framework and agenda for future research.

We conducted a literature review of 66 articles and summarized the findings according to the framework for Information Technology (IT)-enabled inter-organizational coordination (IOC) and the refined PM framework. The former states that within inter-organizational relationships, uncertainty sources determine information processing needs and coordination mechanisms determine information processing capabilities, while the fit between needs and capabilities determines the relationships’ performance. The latter distinguishes three categories of PM activities: cartography, auditing and navigation.

Past literature focused on coPM techniques, for example, algorithms for ensuring privacy and PM for cartography. Future research should focus on socio-technical aspects and follow four steps: First, determine uncertainty sources within coPM. Second, design, develop and evaluate coordination mechanisms. Third, investigate how the mechanisms assist with handling uncertainty. Fourth, analyze the impact on coPM performance. In addition, we present 18 challenges (e.g. integrating distributed data) and 9 enablers (e.g. aligning different strategies) for coPM application.

This is the first article to systematically investigate the status quo of coPM research and lay out a socio-technical research agenda building upon the well-established framework for IT-enabled IOC.

This study aims to explore the interplay between regulatory, normative and cultural-cognitive factors in the context of sustainability-driven organisational change in Mexican small and medium-sized enterprises (SMEs).

Using qualitative research methods, data were collected through interviews with key stakeholders from eight SMEs in Mexico. Thematic analysis was conducted to explore how regulatory, normative and cultural-cognitive forces influence sustainability initiatives within these organisations.

The findings reveal a dynamic relationship between regulatory frameworks and broader societal norms, with SMEs strategically aligning with evolving expectations to drive sustainability. Influenced by consumer preferences, normative forces play a pivotal role in shaping internal and external organisational norms. Cultural-cognitive forces, including organisational values and leadership practices, further reinforce this interplay, highlighting the importance of organisational culture in driving sustainable practices.

This study contributes to understanding institutional dynamics driving sustainability initiatives among SMEs, particularly in the Mexican context. Explaining the complex interactions among regulatory, normative and cultural-cognitive forces offers a holistic framework for comprehending the complexities of sustainability-driven organisational change.

The findings provide practical insights for SMEs seeking to navigate sustainability initiatives. Emphasising the proactive role of regulatory compliance, fostering a culture of sustainability and leveraging collaborative opportunities within industries are recommended strategies for driving meaningful organisational change towards sustainability.

This study’s value lies in its development of a conceptual framework illustrating the complex interactions among regulatory, normative and cultural-cognitive forces driving sustainability-driven organisational change in Mexican SMEs. Elucidating these dynamics provides a nuanced understanding of how these forces intertwine, offering valuable insights for navigating sustainability initiatives for SMEs in Mexico.

Este estudio explora la interacción entre factores regulatorios, normativos y cultural-cognitivos en el contexto del cambio organizacional impulsado por la sostenibilidad en las pequeñas y medianas empresas mexicanas.

Utilizando métodos de investigación cualitativa, se recopilaron datos a través de entrevistas con partes interesadas clave de ocho PYMES en México. Se llevó a cabo un análisis temático para explorar cómo las fuerzas regulatorias, normativas y cultural-cognitivas influyen en las iniciativas de sostenibilidad dentro de estas organizaciones.

Los resultados revelan una relación dinámica entre los marcos regulatorios y las normas sociales más amplias, con las PYMES alineándose estratégicamente con las expectativas cambiantes para impulsar la sostenibilidad. Influenciadas por las preferencias de los consumidores, las fuerzas normativas desempeñan un papel fundamental en la formación de normas organizacionales internas y externas. Las fuerzas cultural-cognitivas, incluidas los valores organizacionales y las prácticas de liderazgo, refuerzan aún más esta interacción, destacando la importancia de la cultura organizacional en el impulso de prácticas sostenibles.

Este estudio contribuye a la comprensión de las dinámicas institucionales que impulsan las iniciativas de sostenibilidad entre las PYMES, particularmente en el contexto mexicano. Explicar las complejas interacciones entre fuerzas regulatorias, normativas y cultural-cognitivas ofrece un marco holístico para comprender las complejidades del cambio organizacional impulsado por la sostenibilidad.

El valor de este estudio radica en el desarrollo de un marco conceptual que ilustra las complejas interacciones entre fuerzas regulatorias, normativas y cultural-cognitivas que impulsan el cambio organizacional impulsado por la sostenibilidad en las PYMES mexicanas. Elucidar estas dinámicas proporciona una comprensión matizada de cómo estas fuerzas se entrelazan, ofreciendo valiosas ideas para navegar iniciativas de sostenibilidad para las PYMES en México.

Los hallazgos proporcionan ideas prácticas para las PYMES que buscan navegar las iniciativas de sostenibilidad. Se recomiendan estrategias como enfatizar el papel proactivo del cumplimiento regulatorio, fomentar una cultura de sostenibilidad y aprovechar las oportunidades de colaboración dentro de las industrias para impulsar un cambio organizacional significativo hacia la sostenibilidad.

Este estudo explora a interação entre fatores regulatórios, normativos e cultural-cognitivos no contexto da mudança organizacional impulsionada pela sustentabilidade em pequenas e médias empresas mexicanas.

Utilizando métodos de pesquisa qualitativa, os dados foram coletados por meio de entrevistas com partes interessadas de oito PMEs no México. Foi realizada uma análise temática para explorar como as forças regulatórias, normativas e cultural-cognitivas influenciam as iniciativas de sustentabilidade dentro dessas organizações.

Os resultados revelam uma relação dinâmica entre as estruturas regulatórias e as normas sociais mais amplas, com as PMEs alinhando-se estrategicamente às expectativas em evolução para impulsionar a sustentabilidade. Influenciadas pelas preferências dos consumidores, as forças normativas desempenham um papel crucial na formação de normas organizacionais internas e externas. As forças cultural-cognitivas, incluindo valores organizacionais e práticas de liderança, reforçam ainda mais essa interação, destacando a importância da cultura organizacional na promoção de práticas sustentáveis.

Este estudo contribui para a compreensão das dinâmicas institucionais que impulsionam iniciativas de sustentabilidade entre as PMEs, particularmente no contexto mexicano. Explicar as complexas interações entre forças regulatórias, normativas e cultural-cognitivas oferece uma estrutura holística para compreender as complexidades da mudança organizacional impulsionada pela sustentabilidade.

Os resultados fornecem insights práticos para PMEs que buscam navegar em iniciativas de sustentabilidade. Recomenda-se enfatizar o papel proativo do cumprimento regulatório, fomentar uma cultura de sustentabilidade e aproveitar as oportunidades de colaboração dentro das indústrias como estratégias para impulsionar uma mudança organizacional significativa em direção à sustentabilidade.

O valor deste estudo reside no desenvolvimento de um quadro conceitual que ilustra as complexas interações entre forças regulatórias, normativas e cultural-cognitivas que impulsionam a mudança organizacional impulsionada pela sustentabilidade nas PMEs mexicanas. Elucidar essas dinâmicas fornece uma compreensão diferenciada de como essas forças se entrelaçam, oferecendo insights valiosos para PMEs no México.

The aim of this paper is to propose a basis upon which accounting reporting can be developed to reflect real values and the real economy. It aims to address the environmental considerations discussed in the UN debate (Bebbington and Unerman, 2020) and the concern for a “better life-world”, which is the theme of this special issue.

Addressing the task involves the application of the philosophy of pragmatic constructivism (which explains how people can relate to their reality in ways that lead to successful action) and the philosophical concept of the “good life” (which establishes the values to be pursued through action and so defines action success). Also, it outlines the necessary characteristics of measurement frameworks if they are to be effective in the development and control of human practices to achieve desired values.

This paper proposes a conceptual framework for guiding the measurement of how a sustainable good life has improved and/or deteriorated as a result of organisational activities. It outlines a system of concepts on basic and instrumental values for analysing the condition of maintaining a sustainable good life in real terms. This is related to the financial results and societal regulations to analyse and adjust controls according to the real economic goals. Also, it provides a system of value measurands to produce valid information about the development of a sustainable good life. The measurand makes accounting reporting reflect the conditions of the good life that constitute the real economy instead of merely the financial economy driven by shareholder capitalism. Providing tools to analyse whether the existing practices of business and social regulations promote or counteract the real economic goals of producing a sustainable good life means the measurement system proposed makes the invisible hand of the market visible.

The mechanism proposed to enable accounting reporting to reflect real values and the real economy is a new conceptual framework that will allow accounting to more fully realise its potential to contribute to a “better world”. In aiming to serve a sustainable good life, accounting reporting will inherently foster ethical social practices.

Blockchain technology can potentially address the challenges of information storage, sharing and management and improve them further in an organization and sector as a whole. This study aims to investigate the effects of technology, organization and environment on the behavioral intention of employees to adopt blockchain in the Indian insurance sector and the mediating role of knowledge management practices.

A structured questionnaire was used to collect a sample size of 390 responses based on convenience sampling. Partial least square structural equation modeling was used to analyze the data.

The findings highlighted that organizational factors, followed by technological factors, significantly impact employees' behavioral intentions. The results established that the impact of environmental factors is insignificant on blockchain adoption intention. Knowledge management practices significantly mediate the relationship between organizational factors, technological factors and behavioral intention.

The results indicate that organizations must prioritize organizational factors (technological competence, top management support and financial readiness) and knowledge management practices (knowledge creation, sharing and retention) to positively impact employees' behavioral intentions and ensure successful and effective technology adoption.

Using the Technology-Organization-Environment framework, the study tests the conceptual model, showing the relationship between technological, organizational and environmental factors, behavioral intention and knowledge management practices. The role of knowledge management practices in technology adoption within organizations has been scarcely explored. This study adds significant and novel contributions in this area.