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To explore the value and the case for designing antifragile socio-technical information systems (IS) in an era of big data, moving beyond traditional notions of IS design towards systems that can leverage uncertainty for gains.

A design science research (DSR) approach was adopted, comprising four stages, including problem identification and solutions definition, conceptual artifact or socio-technical system design, preliminary evaluation, and communication and knowledge capture.

A conceptual socio-technical artifact that identifies antecedents to antifragile IS design. When operationalised, the antecedents may produce the desired antifragile outcome. The antecedents are categorised as value propositions, design decisions and system capabilities.

This research is conceptual in nature, applied and evaluated in a single big data analytics case study in Facebook-Cambridge Analytica. Future research should empirically validate across a range of real-world big data contexts, beyond the presented case study.

Uncertainty generally results in socio-technical system failures, impacting individuals, organisations and communities. Conversely, antifragile IS can respond favourably to the shocks and stressors brought forth by periods of elevated uncertainty.

Antifragile IS can drive socio-technical systems to respond favourably to uncertainty and stressors. Typically, these socio-technical systems are large, complex structures, with increased connectivity and the requirement to generate, process, analyse and use large datasets. When these systems fail, it affects individuals, organisations and communities.

Existing IS design methodologies and frameworks largely ignore antifragility as a possible designable outcome. Extant research is limited to abstract architectural design, and approaches based on the proposition of principles. This research contributes to knowledge of antifragile IS design, by deriving a conceptual artifact or socio-technical system based on antecedent-outcome relationships that leverage uncertainty towards performance gains.

This paper aims to present a preliminary exploration of the intersections between the accounting and information systems (IS) disciplines. Using the illustrative example of the COVIDSafe app, released by the Australian federal government in response to the “wicked problem” of COVID-19, we demonstrate the value of interdisciplinarity to broaden the boundaries of accounting beyond a technical orientation to encompass social and moral considerations.

We apply a high-level view of socio-technical theory derived from the IS discipline by using a close-reading method of publicly available media and federal government sources related to the COVIDSafe app collected between April 2020 and April 2021. This theoretical lens allows for an enhanced understanding of the technical, environmental/regulatory, and social subsystems relating to accounting and accountability while supporting interdisciplinary reflection.

Addressing complex and wicked problems in accounting requires interdisciplinary approaches, whereby the accounting discipline must move beyond its technical origins. Dialogue between the accounting and IS disciplines is necessary to gain a deeper appreciation of the social, technical and moral implications of accounting in context.

Viewing accounting beyond a technical practice through collaboration between accounting and IS offers a theorisation to consider the multi-dimensional nature of complex societal challenges. This theorisation can support the advancement of our practice and research meaningfully toward a view of accounting that centres on ideas of the public interest and the betterment of society. There remains much scope for progressing this dialogue, and we commend other scholars to engage in interdisciplinary work on the boundaries of accounting.

This study illustrates opportunities for accounting and IS approaches to solving “grand challenges”. Further, the study answers multiple calls for interdisciplinary discourse in accounting scholarship by contributing a socio-technical framing toward addressing complex challenges in our calculative era by initiating a dialogue that moves beyond accounting's traditional technical practice or the “accounting information systems” context.

Prior research on the area of internet of things (IoT) development has primarily emphasized the overview descriptions and rarely investigated this area from a socio-technical standpoint. However, IoT development is a socio-technical ensemble, which requires analysis with a simultaneous focus on both technical and non-technical issues. Hence, this paper aims to analyze the development of IoT through the lens of the socio-technical system (STS) theory.

Having reviewed the STS theory, the key components of the IoT development are identified using prior literature review and semi-structured interviews with experts involved in the Iranian IoT development effort.

As a result, this paper provides insight into the key socio-technical issues in the IoT development classified under technology, tasks, structure and actors as four components of STS. Moreover, the close connections between the components are clarified.

This research is among the earliest studies, which use the STS theory to investigate the IoT development. The conducted socio-technical analysis of this study may assist the governments, industries and entrepreneurs as the chief stakeholders of IoT development to better align their actions with each other and achieve a balance between both technical and social sides.

The use of artificial intelligence (AI) in the workplace is on the rise. To help advance research in this area, the authors synthesise the academic research and develop research propositions on the antecedents and consequences of AI adoption and application in the workplace to guide future research. The authors also present AI research in the socio-technical system context to provide a springboard for new research to fill the knowledge gap of the adoption and application of AI in the workplace.

This paper summarises the existing literature and builds a theoretically grounded conceptual framework on the socio-technical system theory that captures the essence of the impact of AI in the workplace.

The antecedents of AI adoption and application include personnel subsystem, technical subsystem, organisational structure subsystem and environmental factors. The consequences of AI adoption and application include individual, organisational and employment-related outcomes.

A research agenda is provided to identify and discuss future research that comprises not only insightful theoretical contributions but also practical implications. A greater understanding of AI adoption from socio-technical system perspective will enable managers and practitioners to develop effective AI adoption strategies, enhance employees' work experience and achieve competitive advantage for organisations.

Drawing on the socio-technical system theory, the proposed conceptual framework provides a comprehensive understanding of the antecedents and consequences of AI adoption and application in the work environment. The authors discuss the main contributions to theory and practice, along with potential future research directions of AI in the workplace related to three key themes at the individual, organisational and employment level.

The purpose of this paper is to re-visit social construction of technology (SCOT) framework in understanding of innovation in the construction sector and unpack the role of innovation brokers in this context.

This is a conceptual paper adopting SCOT framework to understand innovation in the context of the construction sector. The role of innovation brokers is unpacked in the paper, currently under-explored in the construction innovation studies.

The authors suggest SCOT framework as a useful overarching frame through which to understand construction innovation. The authors argue that innovation brokers should be positioned to oversee the interface of multiple social groups.

Further empirical research is proposed to test the theoretical assumptions outlined in the paper. The research agenda is to conduct further empirical research adopting a socio-technical theoretical lens and appropriate qualitative or mixed-design methodologies. There are other socio-technical theoretical frameworks that could be used to explore socio-technical interactions in different ways, e.g. socio-technical systems theory, sociomateriality, actor-network theory, etc.

Three propositions are developed regarding the position of an innovation broker from the perspectives of multi-social-groups interfaces, shifting significance of the roles of innovation broker and the collaboration with government.

The authors outline the value of SCOT framework for innovation study within project-based construction sector. The authors contribute to better understanding of the role of innovation brokers in the system of construction innovation.

Fintechs are expected to develop rapidly as technologies that help improve the efficiency of the traditional financial system, but an examination of fintech subbranches shows different behaviors. In some sub-branches, the transition has been accompanied by a higher speed and more success, but in some other sub-branches, the opposite has been observed. The difference in the development of fintech sub-branches and its reasons have been paid less attention. Therefore, this article aims to identify the factors affecting the transition.

The use of new technologies in financial services at the international level has led to the provision of fast, customized and economical services, and the fact that these services are welcomed by the users has created opportunities for fintech's transition. This qualitative research follows the socio-technical phenomenon of fintech transition through narrative research. For its formulation, the transition process of fintech sub-branches was analyzed based on the multi-level analytical framework and Geels et al.’s transition path theory.

Transition is a change from one socio-technical regime to another. The findings of the research showed that these changes are influenced by the following factors: provision of infrastructure, the support of industry incumbents from innovative financial services, policy-making, citizen's welcoming, improving the knowledge and expertise of actors, legal adjustments as well as provision of innovative services.

The fintech transition has a special nature because the speed of developments in fintech is high and there is a series of innovations that are continuously replaced by subsequent innovations. Existing models have often focused on the long-term transition of a technology. This article presents a new approach for the analysis of changes in the short term in such a way that, based on the position of the actors in favor of or against the technological changes and institutional changes of the transition, it has analyzed and identified the factors affecting the transition. By focusing on these factors, policymakers can direct the way of fintech transition and help accelerate and facilitate fintech transition.

The study explores the factors affecting the use of smart human resource management 4.0 (SHRM 4.0) practices and its effect on dynamic capabilities and, consequently, on organizational performance.

The authors used socio-technical and dynamic capabilities theory to propose the notable research model. The authors explored the factors driving the use of SHRM 4.0 practices and their contribution to organizational performance through the development of dynamic capabilities. The authors collected data from 383 senior HR managers using a structured questionnaire, and PLS-SEM was used to analyze the data.

The results show that socio-technical factors such as top management support, HR readiness, competitive pressure, technology readiness and perceived usefulness influence the use of SHRM 4.0 practices, whereas security and privacy concerns negatively influence them. Furthermore, the authors also found the use of SHRM 4.0 practices influencing the dynamic capacities (build (learning), integration and reconfiguration) and, subsequently, its impact on organizational performance.

Its novelty lies in developing a model using dynamic capabilities and socio-technical theory to explore how SHRM 4.0 practices influence organizational performance through dynamic capabilities. This study extends the literature on SHRM 4.0 practices, HR technology use, HR and dynamic capabilities by contributing to socio-technical theory and dynamic capabilities and expanding the scope of these theories in the area of HRM. It provides crucial insights into HR and top managers to benchmark SHRM 4.0 practices for improved organizational performance.

Artificial intelligence (AI) is currently having a dramatic impact on marketing. Future manifestations of AI are expected to bring even greater change, possibly ushering in the realization of the fourth industrial revolution. In accord with such expectations, this paper aims to examine AI’s current and potential impact on prominent service theories as related to the service encounter.

This paper reviews dominant service theories and their relevance to AI within the service encounter.

In doing so, this paper presents an integrated definition of service AI and identifies the theoretical upheaval it creates, triggering a plethora of key research opportunities.

Although scholars and practitioners are gaining a deeper understanding of AI and its role in services, this paper highlights that much is left to be explored. Therefore, service AI may require substantial modifications to existing theories or entirely new theories.

Feedback-seeking behavior is an important way for individuals to actively seek information feedback to achieve individuals' goals. In the environment driven by contactless digital technologies, the way of individual feedback-seeking behavior through monitoring indirectly becomes obvious, especially for people who complete the work online in digital collaboration. However, previous empirical research on feedback-seeking behavior mainly focused on direct inquiry. The purpose of this paper is to verify the impact of individual learning goal orientation and the digital feedback environment on individuals' feedback-seeking behaviors through inquiry and monitoring approaches. And the moderating effect of time pressure on these relationships was also investigated.

Based on socio-technical system theory, this study proposes a model to describe the formation of the two approaches of feedback-seeking behaviors (inquiry and monitoring). The hypotheses were examined with the structural equation model method and data were collected from 152 graduate students who completed online surveys.

The results show that both the digital feedback environment and learning goal orientation can promote individual inquiry and monitoring approaches of feedback-seeking. Furthermore, time pressure moderates the relationship between the digital feedback environment and feedback monitoring negatively.

This study establishes an antecedent model that influences the choice of feedback-seeking approaches in digital environments from the perspective of a socio-technical system. The empirical results supplement the explanation of the influence of both technical and social factors on individual feedback-seeking behavior in digital environments.

The purpose of this paper is twofold: first, to explore the negative consequences of ubiquitous connectivity enabled by personal IT ensembles (PITEs) usage; and second, to investigate the gender differences in the adverse effects of ubiquitous connectivity.

This study employs a socio-technical approach to identify the technical and interpersonal dimensions of PITE-enabled ubiquitous connectivity and develops a theoretical model to investigate their stress-inducing effects based on the framework of technostress. Furthermore, the moderating role of gender is examined based on the social role theory. The authors test the model on a sample of 439 Chinese netizens.

Ubiquitous technical and interpersonal connectivity induce four stressors: information overload, communication overload, life invasion and privacy invasion. These stressors further lead to psychological exhaustion and reluctance to try new ITs. The ubiquitous technical connectivity exerts stronger effects on stressors for female users than male users, and interpersonal connectivity exerts a stronger effect for male users than female users.

This study primarily contributes to the small amount of research on PITE-enabled ubiquitous connectivity by considering ubiquitous connectivity from a socio-technical perspective and examining the stress-related effects and outcomes of both technical and interpersonal dimensions of ubiquitous connectivity. This study also provides valuable insights into the gender differences in the stress-inducing effects of the two dimensions of ubiquitous connectivity.