Search results

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.

This paper sets out to report on research by the authors into the development and application of four extensions to Ashby's Law of Requisite Variety (LoRV) that increase its utility in the arena of unplanned changes in hegemonic control of designed complex socio‐technical systems/digital eco‐systems in the built environment that are structurally dynamic or emergent.

Research on which the paper is based focused on exploration of classical systems approaches to the design of complex socio‐technical systems in which ownership, power, control and management of structure and benefit generation and distribution are distributed, dynamic and multi‐constituent. Support for development of these four extensions to Ashby's Law comes from observation of four decades of socio‐technical systems development along with critical thinking that combined systems analysis theories with theories and findings from fields of hegemonic analysis, design research, management, management information systems, behaviour in organisations and sociology.

The paper outlines application of four new extensions to LoRV in relation to unplanned changes in distributions of power, ownership, control, benefit generation and benefit distribution in complex socio‐technical systems/digital eco‐systems in the built environment that are emergent or have changing structures. Three of these extensions have been outlined earlier in relation to the design of learning object‐based e‐learning systems. The fourth extension builds on these via application of Coasian analysis. The paper also describes a suite of five guidelines to assist with the design of complex socio‐technical systems derived from the four extensions to Ashby.

The four extensions of Ashby's Law that underpin the design guidelines in this paper are deduced from observation and critical analysis rather than being “proven” empirically. They are derived from observation of the behaviour of real‐world complex systems together with critical analytical thinking that integrated theory and research findings from a range of disciplines where each informs understanding of hegemonic aspects of emergent complex socio‐technical systems involving multiple, changing constituencies, and evolving system structures.

A design method is derived comprising five design guidelines for use in pre‐design and design of complex socio‐technical systems/digital eco‐systems in the built environment.

The paper describes the application of four new extensions to LoRV that extend the analytical role of Ashby's Law in diagnosis of changes in power relations and unintended design outcomes from changes in the generation and control of variety in complex, multi‐layered and hierarchical socio‐technical systems that have multiple stakeholders and constituencies. From these, a suite of five new design guidelines is proposed.

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.

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.

The purpose of this paper is to present the findings from a literature review, which aimed to identify previous studies evaluating cryptolaundering from a systems thinking perspective. The aim of this paper is to first confirm that cryptolaundering systems can indeed be defined as complex socio-technical systems and second to present the findings from a systematic review of the literature to determine the extent to which previous research has adopted a systems thinking perspective.

The study involved a SLR of studies published in the peer-reviewed literature between 2009 and 2018. Rasmussen’s risk management framework (Rasmussen, 1997) was used to evaluate the extent to which a systems thinking perspective had been adopted.

The cryptolaundering process is considered to be a complex socio-technical system. The review demonstrates that no previous studies have defined cryptolaundering as a complex socio-technical system or used systems thinking framework approach to evaluate how criminals, regulatory bodies or law enforcement entities understand processes and assess risk within cryptolaundering systems. It is argued that using such an approach to the cryptolaundering process would likely improve assessing criminal risk analyses of cryptolaundering and assist law enforcement and regulatory bodies with understanding risk management during the laundering of cryptocurrencies.

Future assessments of cryptolaundering using socio-technical system analytical processes may afford law enforcement and regulatory bodies the opportunity to improve intervention techniques and identify gaps in regulations and enforcement.

This article aims to explore the factors influencing patients' distrust toward doctors in online health community.

This study leveraged the distrust construct model and socio-technical systems theory to establish a research model. The authors used the survey method to validate the research model by developing and distributing questionnaires to online health community users. 518 valid responses were collected.

The data analysis results showed that patients' distrusting beliefs were significantly related to their distrust toward doctors in online health communities. Meanwhile, social factors included perceived egoism and lack of expertise; whereas technical factors included no structural assurance, and lack of third-party recognition.

This study not only provides a solid and comprehensive theoretical understanding of patient distrust toward doctors in online health communities but also could serve as the basis to relieve the distrust between patients and doctors in online health communities, or even in the offline environment.

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.

It is important to provide building performance feedback to the designer as early as possible in the design process. However, many aspects of building performance are significantly affected by the design of the building’s technical systems (e.g., heating, airconditioning), which are typically configured in detail only in the later stages of design. The challenge is thus to find a method to use detailed simulation tools even during the early stages of design when values for many of the variables for the building’s technical systems are not yet available. In this paper, we demonstrate how this problem can be partially solved by use of differential representation for building and technical system, homology‐based automatic mapping of relevant information from the building to the technical system representation, and generative design agents which, with a minimal user‐input, can design and model the technical system. We conclude the paper with illustrative examples of detailed performance analysis of complex buildings and their heating, ventilation, and air‐conditioning systems, performed in early stages of design.

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.