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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.

Although crowdsourcing has gained significant attention and is being used by numerous companies to develop new products and solve practical issues, the performance of crowdsourcing is not optimistic. The purpose of this paper is to develop a validated risk profile of crowdsourcing and investigate the relationships among different types of risks and those between risks and performance in crowdsourcing.

Based on the quantitative data collected from 136 crowdsourcing participants in China, two dimensions (i.e. social system and technical system risks) and five sub-dimensions (i.e. crowdsourcer, relationship, crowdsourcee, complexity, and requirement) of crowdsourcing risks are developed and validated. A theoretical model that integrates crowdsourcing risks and performance is developed. The technique of partial least squares is employed to assess the measurement model and test the hypotheses.

The empirical evidence determines the positive association of social system risks with technical system risks, which in turn negatively affect crowdsourcing performance. Specifically, relationship risk is positively affected by crowdsourcer and crowdsourcee risks, and these risks positively affect requirement and complexity risks. However, requirement and complexity risks negatively affect crowdsourcing performance.

This study explores the interrelationship between various risks and the relationship between risk and performance in the context of crowdsourcing by integrating risk-based view with socio-technical theory. Systematic but different risk mitigation strategies should be designed in crowdsourcing to manage risks and enhance performance.

The aim of this paper is to describe the factors that contribute to understanding how collaboration improves performance in operating rooms (ORs) after introducing the concept of cross‐functional OR scheduling teams.

The concept was investigated at Radboud University Nijmegen Medical Center (RUNMC) in The Netherlands and used on an innovative path based on socio‐technical systems (STS) principles designed to address non‐routine tasks, variety, interferences and errors related to OR scheduling, with the aim of increasing both staff productivity and patient safety. The effects of implementing preoperative cross‐functional teams in the OR were compared qualitatively. The researcher observed all of the team meetings, available data and documentation, and 13 semi‐structured interviews were performed with team members for collecting additional data.

In the literature, it was found that the theory of socio‐technical systems and the fields of group dynamics and self‐managing teams fit the OR setting. The author applied six elements of these theories (setting common goals, cohesion, openness, single‐loop and double‐loop learning, feedback, and control options) to the aspects found in the study. The qualitative findings revealed that high‐performing teams were able to identify bottlenecks in order to improve continuity of care. The cross‐functional teams used several performance indicators to gain insight into their own performance. Consequently, through collaboration, these teams were able to minimise interference and therefore learn. Cross‐functional teams learned how to address interferences and improve their quality of service through improved collaboration and the improved use of control mechanisms.

This research highlights the importance of team‐based approaches and the need to improve collaboration between healthcare professionals.

The paper confirms the value of implementing the socio‐technical systems theory to improve collaboration between healthcare professionals. This case study is a valuable contribution, as it focuses on team‐based organisation in preparing an OR schedule.

With the conceptualization of the blockchain as a socio-technical assemblage, this study aims to critically examine the blockchain initiatives in Korea in terms of the opportunities, risks and challenges embedded in their development.

This paper analyzes blockchain design and development from socioecological views: social, technological and cultural phenomena that represent the strategic interaction among people, technology and society. The qualitative data were collected from a variety of sources and diverse means.

The results imply that blockchain needs a close socio-technical examination to avoid simplistic assumptions of its promises and pitfalls. The development of blockchains in Korea will need to consider a range of socio-technical issues to facilitate the best outcomes for blockchain in society.

Despite proactive drives, new risks, such as security, privacy and transparency, emerge as critical concerns of the social implications of the blockchain and their impact on the new digital environment. Questions are raised as to how to govern blockchains, and how to address the unexpected outcomes that such a policy choice may have on society and industry.

The sociopolitical implications of Korean blockchains are examined to identify key concerns and issues as the country progresses rapidly toward a blockchain-driven society.

The extant literature on lean service reveals a noticeable lack of theoretical models establishing the core constructs of lean service, their interrelation and impact on organizational performance. The purpose of this paper is to address this gap by proposing a theoretical model in which lean constructs are identified and operationalized to establish their interrelation and impact on organizational performance.

This paper synthesizes information drawing on a systematic review of the literature on lean service, other relevant academic literature to develop a theoretical model and a set of propositions. Drawing on the universal theory, socio-technical systems theory and contingency theory (CT), the paper highlights and clarifies the potential impact of lean service on operational and financial performance.

This study identifies a comprehensive set of lean technical practices, lean supportive practices, inhibitors and expected outcome of lean service. Expected relationships among those constructs are established by developing a conceptual framework with several propositions based on the relevant literature and the socio-technical system theory, the universal perspective and the CT, when relevant. Moreover, six influential contextual variables on the lean-performance relation are identified based on a review of the management accounting literature, organizational strategy literature and diversification literature to overcome limitations of previous studies.

This paper covers a gap in the literature by identifying and operationalizing lean service constructs and offering a theoretical model with several propositions that establish relationships between lean constructs and overcome limitations in previous studies by identifying six contextual variables that are important factors in the lean-performance associations.

This study aims to explore whether frontline employees' service recovery performance as well as customers' recovery satisfaction (RS) act as mediating mechanisms that simultaneously transmit the positive influence of an integrated service recovery system (SRS) on customers' service loyalty (SL).

A total of 134 useable retail banking branch cases (including responses from 134 branch heads, 439 frontline employees and 941 customers) were used to test our model using the partial least squares structural equation modeling (PLS-SEM) approach.

Service recovery system, measured as a higher-order multidimensional construct, has a strong and positive influence on customers' SL. Besides, service recovery performance partially mediates, along with RS, the relationship between SRS and SL. Finally, customers' recovery satisfaction has the strongest influence on service loyalty.

This study strongly suggests that practitioners not only focus on implementing an effective SRS but also on leveraging service recovery performance and RS to build sustained customers' loyalty. Practitioners must provide more attention to training their frontline employees, reward and recognize employees and continually evaluate their employees' recovery efforts.

The role of frontline employees' service recovery performance and customers' RS as mediating mechanisms in transmitting the positive effect of SRS on customers' SL is investigated using the combined perspectives of social-technical system theory and interdependence theory.

The purpose of this paper is to examine the impacts of supply chain management (SCM) benefits on the interactive performance between supply chain members.

The contingency theory and socio‐technical theory were applied in the construction of the research model. Four constructs were adopted for the development of the research model: contingency factors, interaction process, interactive performance, and SCM system benefits.

To respond to the challenges in global markets, an increasing number of enterprises strive for better profits by working closely with suppliers. As the interaction increases, the buyer‐seller relationship changes accordingly.

Empirical studies require further analysis and suggestions were also made for further explication.

The interaction between the manufacturing and marketing departments is a determinant for the firm's competitive advantages.

Interviews with six case firms in the information/electronic industry show that external and internal factors affect the interaction between supply chain members and result performance improvement.

Interactions between manufacturing and marketing departments often determine the competitiveness and profitability of a firm. Enterprise resource planning (ERP) systems address integration issues of business functions; and benefits contributed by ERP implementation found in the literature are similar to those achieved through the integration of manufacturing and marketing functions. Uses a research model based on contingency theory and socio‐technical theory to study the effects of ERP implementation on marketing and manufacturing integration. A study of four companies in the electronic industry shows that internal organizational and external factors affect the interaction between manufacturing and marketing and results in performance improvement. Provides a new perspective of the factors that impact the effectiveness of ERP systems.

This paper systematically reviewed research work on drivers of teamwork, which will reinforce construction work teams to enhance workers’ safety performance. This study adds to the existing but limited understanding of teamwork drivers on construction workers’ safety performance. This paper presents scholars and industry-based professionals with critical initiatives that have to be implemented in organisations to get positive results in safety while working in teams with an emphasis on systems drivers of teamwork on safety performance at the organisational level, which will help in providing information on the functioning of the teams and contribute towards improved safety performance of team workers.

This study aims to systematically examine the existing body of knowledge on drivers of teamwork by analysing 53 publications from the years 1997–2021. The Scopus search engine was used to conduct a systematic review and germane publications were collated.

According to the findings of the review, since 1997, there has been a burgeoning concern in the research of drivers of teamwork and its impact on workers’ safety performance. After performing a systematic review, 37 drivers of teamwork were identified. The top five drivers are effective communications, team workers’ relations, leadership, shared knowledge and information, and team training. Moreover, it was noted that the United States and Australia have been the international regions of focus for most of the research in the area of drivers of teamwork from the years 1997–2021. The 37 drivers of teamwork are distributed into six major socio-technical components: people drivers; culture drivers; metrics drivers; organisational and management practices and procedures drivers; infrastructure drivers and technology drivers.

The results reported present research scholars and professional practitioners with an overview of the drivers of teamwork that could be implemented in the construction industry to streamline potential implementations and improve safety performance of construction workers.

A list of teamwork drivers has been developed to ratify potential empirical research in the area of construction safety. The results would contribute to the existing but restricted understanding of drivers of teamwork in the construction industry.

Safety performance indicators are a major research concern globally in the construction sector, so this study aims to systematically analyse construction safety performance indicators from some top research publications from 2000 to 2019.

Systematic review was performed using Scopus search engine and relevant publications were compiled. Visual and far reaching search in all publications were performed. Final analysis was done to evaluate selected attributes.

The outcome of the analysis showed growing interest in research on construction safety performance indicators since 2000. From the review, 48 safety performance indicators are identified from 41 selected publications. The most reported safety performance indicators were safety climate, safety orientation, management commitment to safety, near-miss and job site audits. It was noted further that USA, Australia, Canada and China have been international locations of attention for most research on construction safety performance indicators. The 48 safety indicators are classified into six categories, namely people indicators, culture indicators, processes indicators, infrastructure indicators, metrics indicators and technology indicators

The findings identified provide researchers and practitioners a summary of the safety indicators in the construction sector through a vision to streamline future applications and increase the safety performance in the construction sector.

A safety performance indicators' list has been established for the adoption of future empirical research. The findings will make a significant contribution to current but limited knowledge on safety performance indicators in construction industry.