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The Physical Internet (PI) provides solutions to improve the current unsustainable economically logistics systems. This paper aims to identify the key themes and point out the gaps to demonstrate the current state of the PI deployment in the industry. Furthermore, this paper attempts to provide possible opportunities for future research to lead research directions of PI deployment in the industry.

This paper follows the methodology of systematic literature review (SLR) including five processes of (1) identifying the search process; (2) selecting publications following the criteria that include and/or exclude a publication; (3) evaluating and analyzing the chosen literature; (4) reporting findings and (5) synthesizing future research opportunities. A total of 88 papers ranging from 2011 to 2021 were selected and coded for analysis.

This paper has identified 7 themes, including the PI concepts, assessments of the PI, components of the PI, innovative facilities applied in the PI, collaboration in the PI, the PI implementation and literature review. Meanwhile, five key methodologies including experimental, exploratory, review, design science research as well as mixed-methods have been classified. A framework has been proposed to summarize the results incorporating the real-life industries involved in the existing research. The authors also present the research gaps and future research opportunities for the PI deployment in industries.

This study is one of the first research focusing on the PI real-life implementation and thus contributes to the PI literature differing from other literature review papers. The proposed framework is useful to learn about the current core research themes in the PI. The discussion of future research opportunities may inspire interesting research delving into the field.

This paper analyzes the existing body of work on the relationship between depression and social media use in the information system field, including the impact of social media use on depression, the effect of depression on social media use and the association and interaction between depression and social media use.

Using the systematic review method, this study selected the Web of Science, Emerald, Science Direct, JSTOR, Wiley Online Library and Taylor and Francis Online as search databases and ended up with 29 papers that met all the authors' requirements.

This study identified five possible reasons for the inconsistencies between the findings of the selected studies. First, uses and gratifications theory has different influence mechanisms in evaluating the relationship between social media use and depression. Second, gender can moderate the impact of social media use on depression. Third, age moderates the association between social media use and depression. Fourth, for adolescents, the time spent on social media has a critical effect on their depression. Fifth, negative personality traits (e.g. rumination, envy, etc.) can play a significant role in mediating the relationship between passive social media use and depression.

This study conducted an evaluation of the relationship between depression and social media use. First, the authors summarized the research framework and main body of work covering the relationship between depression and social media use. Second, the authors proposed possible explanations for the inconsistencies between the findings. Third, the authors discussed and explained the possible influence mechanisms of the existing results.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2021-0211.

Live-streaming platforms emphasize dynamic social interaction and fan engagement. Users integrate into the live-streaming community through continuous social learning activities, such as sending bullet comments, reviewing comments and interacting with celebrities. However, comprehensive research on the transactional intricacies of live-streaming e-commerce from the perspectives of community and learning is still lacking.

Focusing on the behavior characteristics of the reference group represented by online celebrities and fans in the live-streaming environment, this study utilized social learning as the theoretical basis to examine how reference groups affect consumer purchase intention through a series of intermediary effects. An empirical investigation and machine learning algorithms were utilized to explore and verify the hypothesized model.

The results show that: (1) reference groups’ behavior positively stimulated social presence and enhanced consumer purchase intention through the chain-mediating effect of social presence and trust in online celebrities; (2) celebrity characteristics (professionalism, attractiveness and interactivity) positively impacted consumer trust; (3) in addition, machine learning algorithms substantiated that reference groups’ behavior, social presence, trust and celebrity characteristics had a remarkably robust predictive effect on purchase intention.

These findings hold theoretical implications for understanding how the social community affects consumers’ purchase intention in the live-streaming context and practical significance for marketing strategies toward live-streaming e-commerce.

The purpose of this paper is to examine early career teachers’ Socialized Knowledge Communities (SKCs) as they relate to the pursuit of mathematics knowledge and teaching. The authors investigate Pinterest, a living data archive, as an opportunity to view teachers’ sense-making and construction of instructional resources. Through this lens, the authors examine how teachers form and share mathematical meaning individually and collectively through professional collaboration.

This work characterizes teachers’ curation of mathematical resources both in the kinds of mathematics teachers are choosing and the quality therein. Finally, the authors examine through epistemic network analysis how teachers are sense-making through a statistical approach to identifying their organization of mathematics curation by typology and cognitive process demand.

Results show that sampled teachers predominantly curate instructional resources that require students to perform standard algorithm and represent mathematics relationships in visualization within Pinterest. Additionally, the authors find the resources curated by teachers have lower cognitive demand. Finally, epistemic networks show teachers make connections among instructional resources with particular types as well as with different levels of cognitive demand as they sense-make their curated curriculum. In particular, difference in teachers’ internal consideration of the quality of tasks is associated with their years of experience.

Twenty-first century classrooms and teachers engage frequently in curation of instructional resources online. The work contributes to an emergent understanding of teachers’ professional engagement in virtual spaces by characterizing the instructional resources being accessed, shared, and diffused. Understanding the nature of the content permeating teachers’ SKCs is essential to increase teachers’ professional capital in the digital age.

Wonders whether, owing to severely restricted access, China’s government policy towards digital communications will remain in a constant state of flux – or will it gain economic benefits without a social penalty? Concludes that China has to link the forces of change to channel and deflect domestic resistance.