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Existing studies of shopping momentum effect show that an initial purchase causes the consumer to switch from a deliberative mindset to an implemental mindset, thereby leading to buy subsequent items based on Gollwitzer’s Rubicon model. Since purchase activity goes through the actional phase which has not been studied yet, the purpose of this paper is to explore the characteristics of the actional mindset compared with those of the planning and deliberative mindsets.

This study conducts three experiments to examine whether the implemental mindset can be differentiated from the actional mindset via recalls and perceptual processing measures.

The findings provide evidences that the actional mindset is different from the implemental mindset, and the planning phase is associated more with broad-mindedness, whereas the actional phase is with narrow-mindedness.

Manipulation of the actional mindset can be extended to real purchases in physical shopping spaces, and various choice objects could be tested with a larger number of participants.

To boost the shopping momentum effect, marketers should put customers into an actional mindset by leading them to show their decisions such as carrying a shopping bag and uploading their purchased items. To avoid overbuying, customers should stay in planning mindsets without verbalizing their decisions. Putting goods into virtual shopping baskets in online shopping could be a good way to avoid overbuying.

The paper empirically explores the characteristics of actional mindset in terms of cognitive and perceptual processing and suggest meaningful implication in online shopping situation.

The centralized processes of today’s power trading systems are complex and pose a risk of price tampering and hacking. The decentralized and unmodifiable nature of the blockchain technology that has recently been highlighted offers the potential to improve this power trading process. The purpose of this study is to implement a system to apply the blockchain technology to the problem of power trading.

The authors modeled the power trading problem as the interaction between admin, producer and consumer nodes. And a power trading scenario has been created for this model using a blockchain platform called Multichain which is both fast and highly scalable. To verify this scenario, they implemented a trading system using Savoir, a Python-based JsonRPC module.

Experimental results show that all processes, such as blockchain creation, node connectivity, asset issuance and exchange transactions have been correctly handled according to the scenario.

In this study, the authors have proposed and implemented a power trading method that determines price according to the pure market principle and cannot be manipulated or hacked. It is based on the nature of blockchain technology that is decentralized and cannot be tampered.

Conflict resolution theory and practice have often neglected the contributions of women in peacebuilding. To obtain a more balanced perspective, the work of women's movements, peace movements, and other social movements have attempted to highlight the importance of women's roles in society and their active participation in peacemaking activities throughout the world. This study hopes to contribute to recognizing gender in conflict resolution by examining the rituals of conflict resolution in Laos and the legacy of women working for peace. Through this gender lens, it highlights the importance of Lao women's work in the soukhouan ceremony, a conflict resolution ritual that is integral to Lao culture. The soukhouan ritual demonstrates characteristics that are vital to any peacebuilding effort, specifically how women are actively working to repair harm, restore relationships, and organize support networks that are essential for reconciliation in communities experiencing conflict. This research adds to conflict resolution literature that validates how women are playing a vital role in all stages of peacebuilding.