Coupled with digital-enabled Industry 4.0 development, shipping operators increasingly leverage popular digital technologies to innovate green shipping practices. This study provides insights into the concept, adoption, and challenges of digital green shipping innovation (DGSI) to advance knowledge in the field. Such innovation elevates green shipping for environmentally friendly cargo handling and movement by digital technology applications. Against this backdrop, this study reviews literature involving DGSI and identifies four categories of practices. We develop propositions concerning its antecedents and outcomes to understand its adoption. The challenges and opportunities for adopting DGSI are also identified with managerial guidance to plan green innovation in the shipping industry. This research enriches the knowledge of green shipping in the digital-enabled era with insights and guideposts for managers and policymakers to understand the value of digital technologies for greener shipping operations.

Most theories of information security policy (ISP), except a few focused on the insider-centric view, are grounded in the control-centric perspective, and most ISP compliance models stem from Western countries. Regulatory focus theory (RFT) proposes two modes of motivational regulation, promotion and prevention focused that are supposed to motivate employee compliance in a trade-off. Culture is crucial to the study of ISP that puts control over human connections. Chinese guanxi, a specific dimension of Chinese culture, is better understood underlying the trust-distrust frame. To bridge the theoretical gap between the control-centric and the insider-centric perspectives, we develop an ISP behavioral model by taking an integrated approach from RFT and the trust-distrust frame. We employed scenario-based events about information security misconduct in the workplace to examine employees’ compliance intention and non-violation choice of ISP upon counterfactual thinking. Our empirical results improve the theoretical and practical implications of security practices.

In recent years, the development of online health-consultation platforms has drawn significant research attention to online patient–doctor relationship development, particularly in developing countries, where there are limited health care resources for each patient. However, online interactional unfairness in patient–doctor relationship development has been largely overlooked in the context of information and communication technology (ICT). This study proposes and tests a model that examines how online interactional unfairness (ie, interpersonal unfairness and informational unfairness) influences online patient–doctor relationship quality and the contingent roles of a doctor’s professional seniority and a patient’s disease severity. Using archival data with 83,553 observations from a leading online health-consultation platform in China, this study employed rare-event logistic regression to test the model. The results show that online interpersonal unfairness and online informational unfairness have negative and positive effects on relationship-quality incentive, respectively, in the Chinese health care context and that a doctor’s professional seniority and a patient’s disease severity strengthen the link between unfairness perceptions and relationship-quality incentive. This study advances the knowledge of online patient–doctor relationship development in ICT-based health care in China and provides practical insights for online health care stakeholders for managing unfairness in the health care context.

Consumer-generated self-disclosure is better than firm-generated advertising and sales reports in increasing contact opportunities and also more credible for firms to foster alignment with future market expectations. Previous research mostly assesses online self-disclosure from the rational approach of anticipated benefits and privacy risks without considering the “privacy paradox” phenomenon (users behave contrarily to privacy concern) in social networking sites (SNSs). We develop a theoretical model, grounded in constraint-based (lock-in) and dedication-based (trust-building) mechanisms and social identity theory, to predict online self-disclosure. We test the proposed theoretical model by surveying 395 consumers with participation experience in an online SNS. Different from the rational approach behind personalization, we advance knowledge on how to apply social identity, as well as constraint-based and dedication-based mechanisms, to motivate online self-disclosure induced by consumers. We provide theoretical and practical insights based on our research findings for managing the motivational mechanisms of online self-disclosure.