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Nowadays, technostress is a common problem for many organisations. The purpose of this research is to investigate the underlying mechanisms under which enterprise social networks (ESNs) leads to technostress and their consequences.

The authors collected data from 242 employees working in research and development (R&D) centres in India and analysed the data using partial least squares structural equation modelling (PLS-SEM).

The findings of the study contribute to the growing body of knowledge in “dark side of social media research” by researching the phenomenon of higher use of ESNs in organisations and the consequences while theoretically delineating the effect of social, hedonic and cognitive use of ESNs in organisations on technostress, thus extending prior research on adverse impact of social media and technostress research. The results revealed that both ESNs’ need and technostress is adversely related to mental health, performance and greater turnover intention, and perceived organisation support (POS) played a moderating role in this relationship such that with higher POS, employee turnover intention reduces. By uncovering the role of POS as a potential moderator, the findings provide empirical evidence for POS and technostress in organisations, thus offering practical implications for the ESNs strategists, managers and practitioners to develop ESNs’ usage policies to avoid adverse outcomes of technostress in organisations.

This research advances theoretical understanding of the relationship between ESNs, technostress, mental health, performance and turnover” intention while contributing extensively to the technostress literature and to the scholarship of ESNs. In addition, by uncovering the role of perceived organisational support as a potential moderator, this study contributes to the existing literature on POS.

The empirically tested model delivered by this research will enable organisations to understand different excessive usage patterns of ESNs at work, which contribute to negative outcomes for organisations and employees. The findings support the maintenance of social life at work affecting better employee mental health, and the application of cognitive use of ESNs can reduce technostress. Hence, organisational strategies should implement employee policies and interventions that facilitate better work–social life and well-being, simultaneously encouraging usage of ESNs largely for work-related information transmission and sharing within the organisations.

This study constructed a moderated-mediation model by introducing the potential mediating effect of technostress, mental health and performance and the moderating effect of POS to reveal the mechanism through which ESNs related to technostress, mental health, performance and turnover intention in the Indian context.

Supply chains evolve and change in size, shape and configuration, and in how they are coordinated, controlled and managed. Some supply chains are mature and relatively unchanging. Some are subject to significant change. New supply chains may emerge and evolve for a variety of reasons. The purpose of this paper is to examine the nature of supply chain evolution and address the question “What makes a supply chain like it is?”

The paper analyses and develops key aspects, concepts and principal themes concerning the emergence and evolution of supply chains over their lifecycle.

The paper defines the supply chain lifecycle and identifies six factors that interact and may affect a supply chain over its lifecycle – technology and innovation, economics, markets and competition, policy and regulation, procurement and sourcing, supply chain strategies and re-engineering. A number of emergent themes and propositions on factors affecting a supply chain’s characteristics over its lifecycle are presented. The paper argues that a new science is needed to investigate and understand the supply chain lifecycle.

Supply chains are critical for the world economy and essential for modern life. Understanding the supply chain lifecycle and how supply chains evolve provides new perspectives for contemporary supply chain design and management.

The paper presents detailed analysis, critique and reflections from leading researchers on emerging, evolving and mature supply chains.

This study aims to examine the role of augmented reality (AR) in online impulse behaviour for highbody-involvement products. This study further explores whether flow and spatial presence mediate the link between AR and online impulse behaviour.

The authors collected 255 responses from shopping mall visitors and used SPSS (21.0) (PROCESS macro) and AMOS 21.0 to test the hypothesised model.

The findings reveal that AR virtual try-on significantly influences online impulse behaviour by providing hedonic value and reducing product risk prior to purchase. Second, flow and spatial presence partially and complementarily mediate the relationship between AR characteristics, hedonic value, and product risk.

Theoretically, this study extends the literature on AR and online impulse behaviour from a psychological perspective, and it broadens managers' understanding of how they can use AR as a tool to increase sales.

Rare but high impact (R-HI) disruptions, which are caused by legal changes, socio-technical accidents, or natural disasters, are becoming more frequent and have strong short-term and long-term impacts on performance. Meanwhile, the short-term perspective of managers leads to adoption of mitigation strategies with lower investments and immediate performance improvement. The purpose of this paper is to provide insights on supply chain collaboration (SCC) to establish so-called twin-objective strategy to help both risk mitigation (through moderation effects) and performance improvement (through a direct positive impact). Moreover, power position will be considered as the control variable.

A cross-sectional approach was adopted with primary data collected through a survey in China. Data were analyzed using structural equation modeling with partial least squares estimations. A sub-group model analysis was applied to test the effect of the control variable.

The findings verify that SCC has both a direct positive impact on performance and moderation effects on the relationships between sources of R-HI disruptions and performance. The results of sub-group model analysis illustrate that both powerful and weak focal firms benefit from SCC, but in different ways.

The study shows that the allocation of gains from collaborative advantage should be added to the theory-building of relational view. Meanwhile, the research extends the focal firm’s context to its supply chain’s context so that classic contingency theory can be extended to adequately explain supply chain management phenomena.

In order to further advance the research of social bots, based on the latest research trends and in line with international research frontiers, it is necessary to understand the global research situation in social bots.

Choosing Web of Science™ Core Collections as the data sources for searching social bots research literature, this paper visually analyzes the processed items and explores the overall research progress and trends of social bots from multiple perspectives of the characteristics of publication output, major academic communities and active research topics of social bots by the method of bibliometrics.

The findings offer insights into research trends pertaining to social bots and some of the gaps are also identified. It is recommended to further expand the research objects of social bots in the future, not only focus on Twitter platform and strengthen the research of social bot real-time detection methods and the discussion of the legal and ethical issues of social bots.

Most of the existing reviews are all for the detection methods and techniques of social bots. Unlike the above reviews, this study is a systematic literature review, through the method of quantitative analysis, comprehensively sort out the research output in social bots and shows the latest research trends in this area and suggests some research indirections that need to be focused in the future. The findings will provide references for subsequent scholars to research on social bots.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2021-0336.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

The purpose of this paper is to investigate the intention to purchase products through clothing brands’ social network sites (SNS) based on the theory of planned behavior and uses and gratifications theory (U&G), and the moderating effects of self-image congruity (SIC).

Data were collected from 1,003 followers of their favorite clothing brands’ SNS. Data analysis was performed using structural equation modeling (SEM) and multi-group SEM analysis. The models were estimated from the matrices of variances and covariances by the maximum likelihood procedure using EQS 6.1.

The results highlight the positive impact of U&G on attitude, SNS intentions and SNS use, and U&G, SNS intentions and SNS use were seen to be the main antecedents predicting purchase intentions. Furthermore, SIC was found to have moderating effects between SNS attitude and SNS intentions and between SNS intentions and SNS use.

This research can help clothing brands understand the need to generate brand beliefs, and to develop contents or events to help accomplish the transition from use to purchase.

This research contributes to the literature by providing a better understanding of intention to use and purchase intention through clothing brands’ SNS pages.

Supply chain integration (SCI) and flexibility (SCF) are recognised as crucial business practices and capability in the global competitive market. However, limited research has paid attention to study the relationship between SCI, SCF and their impact on supply chain performance (SCP). Therefore, the purpose of this paper is to establish a relationship between integration, flexibility and performance.

The structural equation modelling technique was used to analyse the 187 data collected from Indian organisations through the survey methodology.

Findings indicate that external integration contributes significantly to realise SCF and SCP. Sourcing and logistics flexibility also help to improve the SCP. The mediation analysis showed that the association of customer and supplier integration with SCP is partially and fully mediated by logistics flexibility, respectively. This study suggests that integration influences the SCP when the firm has a strong association with downstream partners and enough capability for logistics flexibility.

The study has collected cross-sectional data to analyse the relationship between SCI, SCF and SCP. However, as integration requires an effort of the years, longitudinal data and industry-specific studies may provide comprehensive views to validate the results of this study.

Building on relational view theory and dynamic capability theory, the study has proposed the SCP assessment framework based on the relationship between SCI and SCF.

The purpose of this paper is twofold: first, to evaluate the roles of a transactive memory system and the supply network flexibility (SNF) of the firm as antecedents of a firm’s supply chain agility (FSCA), also incorporating the moderating role of the transactive memory system; and, second, to evaluate the relationship between FSCA and operations performance (OP).

Four hypothesized relationships are tested with survey data from 190 high-tech firms using structural equation models.

FSCA can be enhanced through the transactive memory system and SNF, although a higher degree of transactive memory system weakens the positive relationship between SNF and FSCA. A positive relationship is identified between FSCA and OP, while FSCA mediates the relationship between SNF and OP.

Managers can increase FSCA and improve OP by developing both the transactive memory system and SNF. Given that firms have limited resources, investment in internal capabilities should be prioritized as this appears to be more effective at developing FSCA.

The findings expand the literature by exploring two antecedents of FSCA and by analyzing the impact of FSCA on different measures of OP. Few prior studies have highlighted the importance of the transactive memory system to the operations function.