Performance and exhibition venues are well-suited for implementing business models that leverage Internet-of-Things (IoT) concepts to integrate both online and offline information. The use of IoT technologies has led to the emergence of omni-channel services, providing customers with information from both online and offline channels. However, there is a lack of field research on the practical implications of IoT concepts in art exhibitions. An action research methodology is required to address this gap, and one potential solution is to implement an IoT-based omni-channel service that integrates online and offline channels to enhance service quality and provide a seamless customer experience. Near Field Communication (NFC), iBeacon, and Internet buttons can be used in an art gallery to achieve these objectives. This study utilized action research methods to examine the impact of customers’ technology interactions in an art gallery setting. The findings indicate that the inclusion of a physical interactive element has a positive effect on IoT use.

With an increasing air cargo demand in the global air cargo transport industry, not only domestic airlines but also foreign carriers are actively investing in the air cargo service sector and trying to provide a differentiated service in order to gain a competitive advantage. There are a variety of service quality models available but most research to date has not found an optimal model for the air cargo service sector. Using questionnaire data collected from air freight forwarders in Korea with respect to the air cargo service provided by Korean Air, Asiana Airlines, and foreign carriers(JAL or China Eastern), this paper compares four models in measuring the service quality in the air cargo sector and identifies the best model. We then analyze the weakness of each airline’s service operation and make suggestions for improvement. For demonstration analysis, the survey of domestic air cargo forwarders revealed that Reliability>Responsiveness> Supply ability>Security in important order in air cargo service quality dimension. In the context of this paper, we considered four models-unweighted SERVQUAL, unweighted SERVPERF, weighted SERVQUAL, and weighted SERVPERF–for our investigation into which is the most suitable model in the air cargo service sector with testing of goodness of fit by three criteria. Our results indicate that the most suitable model for the air cargo service sector is the weighted SERVPERF model.

With an increasing air cargo demand in the global air cargo transport industry, not only domestic airlines but also foreign carriers are actively investing in the air cargo service sector and trying to provide a differentiated service in order to gain a competitive advantage. There are a variety of service quality models available but most research to date has not found an optimal model for the air cargo service sector.Using questionnaire data collected from air freight forwarders in Korea with respect to the air cargo service provided by Korean Air, Asiana Airlines, and foreign carriers(JAL or China Eastern), this paper compares four models in measuring the service quality in the air cargo sector and identifies the best model. We then analyze the weakness of each airline's service operation and make suggestions for improvement.For demonstration analysis, the survey of domestic air cargo forwarders revealed that Reliability>Responsiveness> Supply ability>Security in important order in air cargo service quality dimension. In the context of this paper, we considered four modelsunweighted SERVQUAL, unweighted SERVPERF, weighted SERVQUAL, and weighted SERVPERF for our investigation into which is the most suitable model in the air cargo service sector with testing of goodness of fit by three criteria. Our results indicate that the most suitable model for the air cargo service sector is the weighted SERVPERF model.