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This paper aims to identify and appropriately respond to any socio-technical gaps within organisational information and cybersecurity practices. This culminates in the equal emphasis of both the social, technical and environmental factors affecting security practices.

The socio-technical systems theory was used to develop a conceptual process model for analysing organisational practices in terms of their social, technical and environmental influence. The conceptual process model was then applied to specifically analyse some selected information and cybersecurity frameworks. The outcome of this exercise culminated in the design of a socio-technical systems cybersecurity framework that can be applied to any new or existing information and cybersecurity solutions in the organisation. A framework parameter to help continuously monitor the mutual alignment of the social, technical and environmental dimensions of the socio-technical systems cybersecurity framework was also introduced.

The results indicate a positive application of the socio-technical systems theory to the information and cybersecurity domain. In particular, the application of the conceptual process model is able to successfully categorise the selected information and cybersecurity practices into either social, technical or environmental practices. However, the validation of the socio-technical systems cybersecurity framework requires time and continuous monitoring in a real-life environment.

This research is beneficial to chief security officers, risk managers, information technology managers, security professionals and academics. They will gain more knowledge and understanding about the need to highlight the equal importance of both the social, technical and environmental dimensions of information and cybersecurity. Further, the less emphasised dimension is posited to open an equal but mutual security vulnerability gap as the more emphasised dimension. Both dimensions must, therefore, equally and jointly be emphasised for optimal security performance in the organisation.

The application of socio-technical systems theory to the information and cybersecurity domain has not received much attention. In this regard, the research adds value to the information and cybersecurity studies where too much emphasis is placed on security software and hardware capabilities.

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.

Technological advances and new business models have contributed to the usage of self-service technology (SST) by firms. As SST continues to create organizational efficiencies, firms have jumped on the bandwagon without considering their own readiness to use SST. To date, there has been no systematic attempt to develop a valid scale of firm SST readiness and assess its influence on firm performance. The purpose of this paper is to present and validate a multidimensional firm SST readiness scale.

A series of studies was conducted for the development and validation of the firm SST readiness scale. Study 1 included generating items from semi-structured interviews with managers and an extensive literature review. Study 2 comprised item reduction and identifying the dimensionality of the scale through exploratory factor analysis (n=177 participants from service organizations). The reliability and validity of the scale were tested in Study 3 by performing confirmatory factor analysis using data obtained from managers of service organizations in the USA (n=257). Study 4 measured the predictive validity of the firm SST readiness instrument using several structural models.

This paper proposes a new multidimensional construct labelled “firm SST readiness”, consisting of four dimensions: managerial acquiescence, customer alignment, employee engagement, and channel integration. The predictive validity of the new scale on two key firm outcome variables: customer value and firm performance is also demonstrated.

This is the first study to provide a comprehensive, psychometrically sound, and operationally valid measure of firm SST readiness.

This paper aims to examine organizational information systems based on Web 2.0 technology as socio-technical systems that involve interacting relationships among actors, structure, tasks and technology. Alignment within the relationships may facilitate increased technology use; however, gaps in alignment may impede technology use and result in poor performance or system failure. The technology examined is an organizational wiki used for collaborative knowledge management.

Results of a survey administered to employees of an organization providing cloud computing services are presented. The research model depicts the socio-technical component relationships and their influence on use of the wiki. Hierarchical latent variable modelling is used to operationalize the six main constructs. Hypotheses propose that as alignment of a relationship increases, wiki use increases. The partial least squares (PLS) method is used to examine the hypotheses.

Based on the results, increased perceptions of alignment among technology and structure increase wiki use. Further analysis indicates that low usage may be linked to gaps in alignment. Many respondents with lower usage scores also indicated “low alignment” among actor-task, actor-technology, and task-structure.

The sample size is rather small; however, results may give an indication as to the appropriateness of dimensions chosen to represent the alignment relationships. Socio-technical systems theory (STS) is often utilized in qualitative studies. This paper introduces a measurement instrument designed to evaluate STS through quantitative analysis.

User acceptance and change management continue to be important topics for both researchers and practitioners. The model proposed here provides measures that may reveal predictive indicators for increased information system use. Alternatively, practitioners may be able to utilize a diagnostic tool as presented here to assess underlying factors that may be impeding effective technology utilization.

The paper presents a diagnostic tool that may help management to better uncover misaligned relationships leading to underutilization of technology. Practical advice and guidelines are provided allowing for a plan to rectify the situation and improve technology usage and performance outcomes.

The concepts of joint optimization and socio‐technical systems have been in the literature for over 40 years. However, efforts to operationalize these concepts for managerial practice have not progressed at the same pace as the theory on joint optimization has advanced. This paper represents an effort to turn the theoretical concept of joint optimization into managerial practice by introducing the concept of system equivalence. In this paper system equivalence (the level at which all three systems (social, technical, and environmental) are mutually equivalent in value (is described to indicate how it should be used. This paper then discusses the usefulness of this concept for managerial practice.

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.

Integrating organizational development (OD) and technological intervention into a total system is one of the more difficult tasks for an executive or consultant to execute. Organizations are profoundly affected by technological advancements and require a flexible customized change model to fit the social network of the specific organization into which technology is being introduced. Examines sociotechnical systems (STS) theory and presents classical organization theories of Burns and Stalker, Woodward, Perrow, Thompson and Trist to develop a contemporary OD intervention in terms of self‐regulating work groups (self‐leading or self‐managing teams) performing interrelated technological tasks. Finally, presents some pointers for executives and consultants in assessing STS interventions via 31 diagnostic questions intended to identify interactions among elements of the system.

This study aims to investigate sustainable supply chain management (SSCM) through the lens of socio-technical system (STS) theory. Specifically, it examines the individual and synergistic effects of social and technical integration on two main sustainability practices (i.e. sustainable production and sustainable sourcing). Supply chain uncertainty is further explored as a key environmental factor.

A moderated joint effects model was hypothesized. A sample of 759 manufacturing firms was used to test the proposed hypotheses by hierarchical linear regression.

The results show that both social and technical integration have positive effects on sustainable production and sustainable sourcing. Interestingly, social and technical integration have an enhancing synergistic effect on sustainable sourcing, which is further strengthened in high-uncertainty supply chains.

This study extends the application of STS theory in the SSCM setting. It enriches the sustainability literature by uncovering the impact of the interplay among the firm's social, technical and environmental systems on sustainable production and sourcing, and offers system-wide insights for sustainability management.

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.

Scandinavian research in systems development can be grouped into three major traditions, based on quite different ideologies and theories: the systems theoretical school, the socio‐technical school and the critical school. The differences between these schools are closely related to the historical and social contexts in which they developed. External political, economic and cultural factors have strongly influenced research in this field. In particular, the basic theoretical differences between the schools reflect their different interpretations of the relationship between capital and labour.