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This study presents the results of an assessment of the barriers that can hinder the deployment of robotics and automation systems in developing countries through the lens of the Nigerian construction industry.

A scoping literature review was conducted through which barriers to the adoption of robotics and automation systems were identified, which helped in the formulation of a questionnaire survey. Data were obtained from construction professionals including architects, builders, engineers and quantity surveyors. Retrieved data were analyzed using percentages, frequencies, mean item scores and exploratory factor analysis.

Based on the mean scores, the top five barriers were the fragmented nature of the construction process, resistance by workers and unions, hesitation to adopt innovation, lack of capacity and expertise and lack of support from top-level managers. Through factor analysis, the barriers identified were categorized into four principal clusters namely, industry, human, economic and technical-related barriers.

This study provided a good theoretical and empirical foundation that can be useful to construction industry stakeholders, decision-makers, policymakers and the government in mapping out strategies to promote the incorporation and deployment of automation and robotics into the construction industry to attain the safety benefits they offer.

By identifying and evaluating the challenges that hinder the implementation of robotics and automation systems in the Nigerian construction industry, this study makes a significant contribution to knowledge in an area where limited studies exist.

The perception of Islamic finance by its various stakeholders is not always reconcilable. Its foundations and attributes are subject to a plurality of perceptions making it almost impossible to reach a consensus about them. This paper aims to understand the perception of Islamic finance by bank employees in Cameroon.

This research follows the interpretativist paradigm and is qualitative and exploratory in nature. The data are collected through semi-structured face-to-face interviews with bank employees, mainly branch managers. These interview data are analysed using the thematic analysis method.

Bank employees in Cameroon perceive Islamic finance as a finance that: targets everyone, regardless of religion, but Muslims first (Islamic finance is both inclusive and exclusive); offers original products and services; has a religious anchor that may hinder non-Muslim economic agents; has many advantages, mainly for financial institutions, and some limitations for financial institutions and their customers; is full of opportunities for its stakeholders; and is not yet fully practiced in Cameroon.

This study mobilises a qualitative approach, provides new insights into the research on the perception of Islamic finance and reaches a consensus on the perception of certain aspects and attributes of Islamic finance, namely, for the perception of the target and the Shariah compliance of Islamic finance. Furthermore, this study is a pioneering effort to understand bank employees’ perception of Islamic finance in non-Islamic and developing countries where Islamic finance is underdeveloped.

The purpose of this paper is to explore leadership succession in families in business. Although there is a vast amount of research on leadership succession, no attempt has been made to understand this phenomenon by using an intergenerational learning approach. By applying the Double ABC–X model, the authors discuss how resilience is developed through intergenerational learning during family leadership succession in business.

Based on a single case, the authors define pre- and post-event parameters of the business family under study and use the Double ABC–X Model as an analytical framework. Individual and pair interviews, as well as a family firm workshop, were undertaken following an action research approach using multiple interventions. The qualitative data were collected by reflective journals, field notes and observation protocols. Finally, the authors analyze the data according to a circular deconstruction strategy.

The authors find specific pre-event stressor parameters related to mutual mistrust, independent decision making and non-strategic transmission of power, knowledge and responsibility from predecessor to successor. The intervention based on the intergenerational approach during the post-crisis phase focuses on problem solving and coping within the new situation of co-habitation among the two generations. The intergenerational learning approach based on pile-up of demands, adaptive resources and perception is the source of family adaptation. Additionally, the power of the narrative to reflect past events and project the future seems to the point where the family starts developing resilience.

The way family businesses deal with critical and stressful events during leadership succession may lead to intergenerational learning, which is a source of resilient families. The authors apply the Double ABC–X model to understand family leadership succession in business and further develop it to explain how families develop resilience.

This study aims to analyse the self-perception of future secondary school teachers (FTs) of biology about their education for sustainable development (ESD) competencies and evaluate the competence profile they develop in their educational proposals.

A mixed methodological approach was used to analyse 162 FTs’ ESD action competencies as proposed by UNECE. Firstly, a six-point Likert-type scale questionnaire is used to explore their self-perception of the level of acquisition of these competencies. Then, a rubric is applied to analyse the competence profile when designing educational proposals to address socio-environmental issues related to consumption and waste generation. Besides descriptive analysis, inferential statistics were used to assess the significance of the differences detected between the competencies.

FTs self-perceive a partial acquisition of ESD action competencies, in line with their competence profile. Where they recognise and show significant difficulties is in assessing learning outcomes in terms of changes and achievements. Similarly, their best perception and competence profile is achieved in the approach to contextualised situations in the students’ lives. There are also some discrepancies between their perception and their profile. In particular, FTs regard themselves as very competent in considering different dimensions and perspectives of the issues, but this is precisely where they reveal a lower competence profile.

This study applies a fully replicable rubric for the assessment of teachers’ ESD competencies when designing proposals to address socio-environmental issues. This assessment allows one to approach the sustainability competencies that they will promote in their classrooms.

We investigated the association of COVID-19 indicators and economic uncertainty indices on payment-based system cryptocurrency (i.e. Bitcoin, Ripple and Dogecoin) returns.

We used an autoregressive distributed lag (ARDL) model for panel data and performed robustness checks by utilizing a random effect model (REM) and generalized method of moments (GMM). There are 25 most adopted cryptocurrency’s countries and the data spans from 22 March 2021 to 6 May 2022.

This research discovered four findings: (1) the index of COVID-19 vaccine confidence (VCI) recovers the economic and Bitcoin has become more attractive, causing investors to shift their investment from Dogecoin to Bitcoin. However, the VCI was revealed to be insignificant to Ripple; (2) during uncertain times, Bitcoin could perform as a diversifier, while Ripple could behave as a diversifier, safe haven or hedge. Meanwhile, the movement of Dogecoin prices tended to be influenced by public figures’ actions; (3) public opinion on Twitter and government policy changes regarding COVID-19 and economy had a crucial role in investment decision making; and (4) the COVID-19 variants revealed insignificant results to payment-based system cryptocurrency returns.

This study contributed to verifying the vaccine confidence index effect on payment-based system cryptocurrency returns. Also, we further investigated the uncertainty indicators impacting on cryptocurrency returns during the COVID-19 pandemic. Lastly, we utilized the COVID-19 variants as a cryptocurrency returns’ new determinant.

The purpose of this study is to investigate the complexity of how demands and stress are mitigated to enhance employee performance in remote working arrangements.

A time-lagged snowball sample of 223 full-time remote working adults in the United States participated in an online survey. Data were analyzed using R 4.0.2 and structural equation modeling.

Results suggest remote job resources involving organizational trust and work flexibility increase performance via serial mediation when considering information communication technology (ICT) demands and work–life interference (WLI). The findings provide insights into counterbalancing the negative aspects of specific demands and stress in remote work arrangements.

This study provides insights for managers to understand how basic job resources may shape perspectives on demands and WLI to impact performance. Specific to remote working arrangements, establishing trust with the employees and promoting accountability with their work flexibility can play an important part in people and their performance.

This study contributes theoretically to the literature by evidencing how components of the E-Work Life (EWL) scale can be used with greater versatility beyond the original composite measurement because of the job-demand resource (JD-R) framework and conservation of resources theory (COR). This study answers several calls by research to investigate how ICT demands and WLI play a complex role in work performance.

Following recent high-profile audit failures, concern has been expressed that auditors are not demonstrating sufficient skepticism when exercising professional judgment. In particular, client assumptions and estimations relating to hypothetical valuations in financial reporting are not being challenged. This paper seeks to address the issue by advancing a decision-making framework aimed at guiding auditors beyond regulatory reductionist thinking towards an enhanced understanding of the cognitive processes which shape professional judgment in forming a reliable audit opinion.

Drawing on the normative philosophical and theological teachings of Bernard Lonergan, the authors' decision-making framework embodies reflective thinking and the data of consciousness to highlight the central role played by enquiry in the dynamics of understanding, judgment and decision-making. Such enquiry elicits challenge of the management bias inherent in hypothetical valuations.

Auditing through a Lonerganian lens allows auditors to reflect on their approach to objective decision-making by offering a set of cognitive tools to enhance the enquiry essential for nurturing professional skepticism.

This paper contributes to the literature by developing the somewhat neglected discourse on the cognitive processes essential for professional skepticism and audit judgment. The authors demonstrate how Lonerganian self-appropriation intensifies an awareness of the recursive cognitive activities pertinent to objective judgment and decision-making. This awakened consciousness has the potential not only to change how auditors question evidence to make informed judgments and decisions, but also to normalize the practice of challenge.

The purpose of this paper is to investigate the character traits and challenges of women leaders in Myanmar within the context of responsible leadership (RL) and aims to contribute to a deeper understanding of the dynamics of RL in this specific cultural and social setting. Furthermore, the paper seeks to highlight the unique challenges faced by women leaders, both within organizations and in society at large. Ultimately, the paper intends to advocate for increased awareness and actions that promote gender equality in leadership positions, fostering a more inclusive and supportive environment for women leaders in Myanmar.

This study uses an exploratory qualitative research design to comprehensively investigate the character traits and challenges experienced by women leaders in Myanmar concerning RL. It involves semi-structured interviews with five women leaders selected through convenient sampling. These participants hold leadership positions in various fields, including societal welfare, nongovernmental organizations and social businesses. The interview protocol is designed to elicit rich insights into the participants’ leadership experiences, responsibilities, challenges and perspectives on RL. Data collection involves recording and transcribing interviews, ensuring accuracy and reliability. To maintain participant confidentiality, identities remain anonymous. Ethical considerations are adhered to, emphasizing voluntary participation and the right to withdraw at any point without consequences. Thematic analysis is used to identify recurring patterns and themes in the interview data. Themes related to character traits, challenges faced within organizations and society and potential solutions are derived through an iterative process of data coding, categorization and interpretation.

The study’s findings indicate that women-responsible leaders possess character traits similar to their male counterparts. However, they face unique challenges at the organizational and societal levels in Myanmar. To address these issues and foster the growth of women leaders, spreading awareness is crucial. Awareness programs can educate individuals, organizations and society about the significance of RL and gender equality in leadership roles. Such initiatives create an inclusive environment that supports the development of responsible women leaders in Myanmar.

The original value of this study lies in its contribution to the existing body of knowledge on women’s leadership and the specific context of Myanmar. By examining the character traits of women-responsible leaders and the challenges they face within organizational and societal contexts, this study sheds light on the unique experiences and barriers encountered by women in leadership positions. Furthermore, this study’s original value lies in its emphasis on the need for awareness and action to foster more women leaders in Myanmar. By bringing attention to the organizational and societal challenges faced by women and advocating for change, this study encourages stakeholders, including policymakers, organizations and communities, to address these issues and create a more supportive and inclusive environment for women leaders.

A new research domain known as the Quantified Self has recently emerged and is described as gaining self-knowledge through using wearable technology to acquire information on self-monitoring activities and physical health related problems. However, very little is known about the impact of time window models on discovering self-quantified patterns that can yield new self-knowledge insights. This paper aims to discover the self-quantified patterns using multi-time window models.

This paper proposes a multi-time window analytical workflow developed to support the streaming k-means clustering algorithm, based on an online/offline approach that combines both sliding and damped time window models. An intervention experiment with 15 participants is used to gather Fitbit data logs and implement the proposed analytical workflow.

The clustering results reveal the impact of a time window model has on exploring the evolution of micro-clusters and the labelling of macro-clusters to accurately explain regular and irregular individual physical behaviour.

The preliminary results demonstrate the impact they have on finding meaningful patterns.

In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure.

To explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings.

The investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs.

This study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.