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This study aims to provide an explorative perspective on how workarounds – defined as practices that deviate from an official pathway to a target – delineate a decisive element for users with visual impairment to enable assistive technologies in the context of office work.

An ethnographic study with in situ observation at participants’ work locations together with interviews was conducted to cater for the explorative nature of this study.

The study outlines three types of workarounds that can be distinguished into: (1) own investment into invisible work, (2) engaging support from colleagues and (3) the complete circumvention of technology use. It is furthermore discussed that workarounds remain largely unnoticed but yield the potential as an enabling factor for insights into the use of assistive technology (AT).

The layered model of workarounds that locates them at the individual, social and organisational level can guide the design and analysis of enabling technologies in complex office work contexts. Technology designers can incorporate enquiries on workarounds into participatory or co-creative design processes. Information technology (IT) professionals and leaders of IT support teams can use this model to gain insights from workarounds into improvement opportunities for the effective integration of assistive technologies.

This study connects the concept of workarounds, which is deeply rooted in the tradition of workplace studies and computer-supported cooperative work (CSCW), with the practices of handling technology employed by knowledge workers with visual impairments to retain workability. This approach offers a novel perspective on the embeddedness of enabling technologies in the context of knowledge work. It highlights the intricate ways in which technology is integrated into daily work practices, thereby providing valuable insights into the intersection of AT and knowledge work.

Critical infrastructures are susceptible to unexpected disruptive events that affect their functional performance. Public–private partnership (PPP) offers opportunities for stakeholders to build resilience by proactively coordinating and positioning the capabilities of the stakeholders. Partnerships are mostly riddled with risks that affect the performance and goal attainment of the partnerships. The purpose of this study was to develop a risk assessment model for PPP in critical infrastructure resilience (CIR) using fuzzy synthetic evaluation.

This study used a quantitative approach to analyse survey responses from respondents. Mean score ranking, Kendall’s coefficient of concordance and fuzzy synthetic evaluation were used to analyse the responses from respondents.

This study identified seven risk categories; Political, Financial, Ethical, Bureaucracies and red tapes, Legal, Coordination and Institutional as the critical risk categories that may frustrate the partners in a PPP arrangement from performing their responsibilities. A risk assessment model was also developed in the form of a risk index equation to ascertain the risk level of using a PPP to build critical infrastructure resilience in Ghana. It was found that the risk level in using PPP to build critical infrastructure resilience is high.

The outcome of this study can be used as an informative and guiding tool to streamline any future PPP arrangement or even amend current PPP arrangements in critical infrastructure resilience.

The study has drawn attention to the risks in using PPP to build critical infrastructure resilience within the Ghanaian context. It has also established a risk index to assess the risk level of using PPP to build critical infrastructure resilience. This risk index can be used to ascertain the risk level in different countries. In addition, no research has been conducted to empirically test the risks in using PPP to build critical infrastructure resilience thus making this study a novel contribution to the critical infrastructure resilience research domain.

This paper aims to investigate the impacts of Industry 4.0/5.0 (I4.0/5.0) on the glass manufacturing workplace. Specifically, it studied the workplace, which represents complex manufacturing lines of high variety and volume of products.

A case study based on semi-structured interviews was conducted with managers responsible for I4.0 implementation, and the responses were treated by content analysis.

Findings reinforce I5.0 aspects to be considered in terms of work organization. The interviewees highlight work and human factors as important for technology implementation, which includes workers tasks, skills, nature of work, human resources development, hiring process and organizations strategies. It was also found that knowledge sharing poses a huge challenge.

In lieu of gaps in the literature, this research further discusses management challenges to support digital transformation and impacts on workers and organizations.

The present study undertakes an extensive review of the causes of service failures in artificial intelligence (AI) technology literature.

A hybrid review has been employed which includes descriptive analysis, and bibliometric analysis with content analysis of the literature approach to synthesizing existing research on a certain topic. The study has followed the SPAR-4-SLR protocol as outlined by Paul et al. (2021). The search period encompasses the progression of service failure in AI from 2001 to 2023.

From identified theories, theoretical implications are derived, and thematic maps direct future research on topics such as data mining, smart factories, and among others. The key themes are being proposed incorporates technological elements, ethical deliberations, and cooperative endeavours.

This research study makes a valuable contribution to understanding and reducing service defects in AI by providing insights that can inform future investigations and practical implementations. Six key future research directions are derived from the thematic and cluster discussions presented in the content analysis.

The digitalisation of healthcare services has proven to be difficult, with numerous negative effects. We argue that the reason for the problem is not poor project management, but a clash of different institutional logics. The aim of this article is to explore, define and theorise the concept of digitalism, as a term for a new institutional logic in contrast to other, more known logics in organisations, such as managerialism and professionalism, to better understand processes of digitalisation.

We illustrate our arguments with a case study of a process of organizational development before and after the implementation of centralised large-scale IT systems at a large Norwegian hospital. Data was extracted from documents and observations from January 2015 to January 2016 during an organizational audit. In addition, a follow-up study was conducted in 2019 and 2024 by interviewing eight key personnel who were involved in the implementation process.

The implementation of a new digital health record in a Norwegian hospital is a process of social restructuring that involves new actors, logics and control systems. The process of digitalisation shows us how digitalism create tensions, diverges and merges with other institutional logics.

Understanding digitalism as a sensitising concept offers insights into how large-scale technology and organizations are tied together and can help to reduce organizational dysfunctionalities and improve the implementation of IT systems.

This study contributes to a new understanding of digitalisation processes and links an ongoing theoretical debate on the digitalisation of organizations with empirical findings.

The purpose of this paper is to understand the customer sentiment towards telemedicine apps and also to apply machine learning algorithms to analyse the sentiments in the adoption during the COVID-19 pandemic.

Text mining that uses natural language processing to extract insights from unstructured text is used to find out the customer sentiment towards the telemedicine apps during the COVID-19 pandemic. Machine learning algorithms like support vector machine (SVM) and Naïve Bayes classifier are used for classification, and their sensitivity and specificity are found using a confusion matrix.

The paper explores the customer sentiment towards telemedicine apps and their adoption during the COVID-19 pandemic. Text mining that uses natural language processing to extract insights from unstructured text is used to find out the customer sentiment towards the telemedicine apps during the COVID-19 pandemic. Machine learning algorithms like SVM and Naïve Bayes classifier are used for classification, and their sensitivity and specificity are found using a confusion matrix. The customers who used telemedicine apps have positive sentiment as well as negative sentiment towards the telemedicine apps. Some of the customers have concerns about the medicines delivered, their delivery time, the quality of service and other technical difficulties. Even a small percentage of doctors feel uncomfortable in online consultation through the application.

The primary value of this paper lies in providing an overview of the customers’ approach towards the telemedicine apps, especially during the COVID-19 pandemic.

We explore the design risk factors and associated managerial practices driving collaborative risk management for design efficacy in green building projects. By illuminating project design risk as an important project risk category in its own right, the study contributes to our understanding of optimising design efficacies for collaborative project risk management.

The study comprises exploratory interviews conducted with 27 industry project practitioners involved in the design and delivery/implementation of Green Star-certified building projects in South Africa.

The findings discursively highlight seven sources of design risk. We also identify seven specific collaborative risk management practices for design efficacy emerging from a consideration of how risk environments vary in the Green Star-certified projects, each with its own project design risk implications.

The study advances our understanding of how collaborations emerging from particular relational yet context-specific practices can be optimised to strengthen project risk management.

This study aims to make the case for real-time rights-based recordkeeping governance as a new foundation for the regulation and systemisation of multiple rights in recordkeeping for the Alternative Care of children and young people.

This article aims to make the case for real-time rights-based recordkeeping governance as a new foundation for the regulation and systemisation of multiple rights in recordkeeping for the Alternative Care of children and young people. It investigates this concept using the Australian context as a critical case study to highlight some of the current limitations in Australian Alternative Care systems in the way recordkeeping rights are represented in existing regulatory frameworks and monitored in practice. This paper will argue for the need for systemic transformations in child protection and information legislation and regulatory systems to better represent and enact alternative care recordkeeping rights.

This analysis of the legislative provisions for participation in recordkeeping and access to records of Care experiences against the Australian Charter of Lifelong Rights in Childhood Recordkeeping in Out-of-Home Care reveals a number of limitations. While the direct provision of rights to access records and the strengthening of principles of participation in some of the jurisdictions are welcome, it illustrates how the risk-oriented focus of the legislation on child protection investigations and substantiations encodes opaque recordkeeping practices and works against the provision of the full suite of childhood recordkeeping rights envisaged by the charter. Furthermore, without provisions for systemic and dynamic oversight, those with Care experiences are left to pursue individual outcomes against significant bureaucratic odds.

In line with international recognition that active participation and proactive provision of rights are a protective factor, this article contends that governance frameworks need to be proactively designed to respect and enact recordkeeping rights, along with requiring mechanisms for real-time monitoring and oversight if the records problems of the past are not to be perpetuated.

The study’s proposal for the need for a real-time, rights-based recordkeeping governance seeks to address the systemic recordkeeping problems that have been identified in research and public inquiry related to Alternative Care systems in Australia as well as in the UK.

Adopting a governance model that prioritises real-time, rights-based principles will ultimately impact how the Alternative Care system approaches records and their value in the processes of care.

Placing real-time rights-based governance at the foundation of a reimagining of the Alternative Care recordkeeping model offers the potential to create a system that places rights in recordkeeping and ethics of care at its core. This has highly transformative potential for the overall Alternative Care system and its relationship with children in out-of-home care.

This research aims to understand the primary challenges encountered by entrepreneurs operating in emerging economies, where entrepreneurship plays a vital role. The study places a particular emphasis on entrepreneurs in Brazil.

The research methodology involved the analysis of data obtained from interviews, using both content analysis and Grey Relational Analysis techniques.

The analysis revealed several prominent difficulties that entrepreneurs face in these domains. These challenges encompassed issues such as grappling with intricate taxation systems and the associated tax burden, navigating government bureaucracy, securing access to essential financing and initial investments, contending with the absence of supportive government programs and addressing the dynamic nature of market conditions. The findings on the most critical barriers reveal potential pathways for entrepreneurs, policymakers and universities to act in developing the entrepreneurial ecosystem in emerging economies.

The insights garnered from this research have the potential to inform the formulation of robust public policies aimed at fostering entrepreneurship and innovation in emerging countries. Furthermore, these findings can serve as a valuable resource for planning initiatives designed to train engineers to become successful entrepreneurs.

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.