Purpose: Online retailers widely use self-service parcel delivery as a solution to the last-mile logistics problems. The purpose of this paper is to investigate the factors that affect the consumer’s intention to use self-service parcel delivery service.Design/methodology/approach: The authors integrate prior research and propose a comprehensive three-factor model. The study combines individual and situational factors and proposes a socialized factor.Findings: This study found that location convenience, optimism, innovation, and the need for human interaction positively affect the consumer’s intention to avail of the self-service parcel delivery service. It also identifies that socialized factor positively influences the consumer’s intention to use self-service parcel delivery services.Research limitations/implications: The test results show that the explanatory power of the individual factors of the model is better than that of the situational factors. However, this does not imply that the situational factors cannot explain the consumer behavior well. Future studies should employ additional situational factors to explain the consumer behavior.Practical implications: This study offers valuable theoretical and managerial implications. Delivery service providers should concentrate on their marketing force and customize their services for consumer groups who have specific individual characteristics, such as optimism and innovation.Social implications: Strengthening service interactions in the social factor and choosing optimal locations for self-service pickup machines are also essential for the expansion of the users’ population and enhancement of service experience.Originality/value: The authors combined situational and individual factors, proposed a socialized factor, and presented the three-factor model of the consumer’s intention to use self-service parcel delivery service.

Purpose: – Social capital has been identified as a valuable resource that can lead to various positive outcomes of social activities in both online and offline communities. The purpose of this paper is to argue that social capital can also be an important ingredient in the development of adverse outcomes, such as technology addiction. Design/methodology/approach: – Based on social capital theory and prior research related to perceived integration, a research model that reflects the effects of online and offline social capitals as well as perceived integration on mobile social networking service (SNS) addiction was developed and empirically examined based on data collected from 458 mobile SNS users in China. Findings: – The structural equation modeling analysis shows that online social interaction ties and online social supports positively affect mobile SNS addiction, whereas offline social supports and online social identification negatively affect mobile SNS addiction. In addition, perceived integration between online and offline channels by using mobile SNS positively influences online social interaction ties, offline social interaction ties, and mobile SNS addiction. Practical implications: – From the practical perspective, the results of the study offer interesting implications for managing mobile SNS addiction. The study found that online social interaction ties and online social support positively influence mobile SNS addiction, whereas offline social support negatively influence mobile SNS addiction. Social implications: – The mobile SNS users should invest more time to participate in offline social activities and maintain good social relationships with their family, colleagues, and friends in the real world. Originality/value: – The present study has both theoretical and practical implications. From a theoretical perspective, unlike many previous studies tend to regard social capital as the predictor of positive outcomes of users’ social activities, the study contributes to the extant information systems literature by exploring the potential negative consequences of social capital on users’ social lives. The results of the study indicate that social capital is a significant predictor of mobile SNS addiction.