This study examines the performance of a penalized neural network and the replication of a customer engagement survey scale with text information in the hotel industry. Although the empirical analysis shows highly accurate model performance only in the training sample, the results also clarify the issues of the engagement scale.

Before purchasing new products, customers often have the desire to consult a variety of information sources (e.g., product tests, online reviews, frontline-employee advices) to make better purchase decisions (Broilo et al. 2016). However, the process of information search has changed tremendously over the past decades due to digitalization and an increasing number of online content (Jerath et al. 2014; Noble et al. 2006). Companies’ reactions to these new information search opportunities are very different. For example, Amazon decided to dispense with frontline-employees in their physical store (Forbes 2017). Other companies provide free Wi-Fi access in their bricks-and-mortar stores to support customer online activities (e.g., Woolworths and Best Buy). The purpose of this investigation is to uncover how frontline-employee interaction and mobile Internet search at the store affect consumers’ buying decision process. Initially, an exploratory study on different information sources at a physical store was designed with the aim to provide insights about the impact of information search on consumers’ product choice certainty. The qualitative data analysis shows that most participants had a main focus on content that is related to the considered products. However, there is an essential difference between the focus on perception of information and the source characteristics for participants in the mobile search and frontline-employee condition. While consumers who use their mobile devices to search online for information were more aware of information characteristics, consumers who get personal advice from a frontlineemployee mostly indicated expertise, credibility, and persuasiveness of the information source to be relevant. The results of a quantitative field study provide an initial examination of the influence of the information source on customers’ product choice certainty and its drivers. In this context, the investigation demonstrates that mobile Internet search as well as customer service can support customers in case of making a certain purchase decision for a product. However, customers who got their information by frontline-employees instead of using their mobile devices to search online for information are more certain about their product choice. This is in line with the results of the qualitative study, since an interaction with the frontline-employee leads to higher interactive decision making.

This paper studies the effect of information quality level and customer demand on performance measures in a supply chain. The information quality level compares 2 types, the information levels of a customer demand and a lead time. The customer demand proc

The Location Based Services (LBS) comprise spatial information and mobile technology allow users to receive various services based on Global Positioning Systems (GPS). Although, spatial information based services are very useful, it has lots of possibility to damage privacy protection. But the contents of the legislation by government have problems conflicted between protection of a person's location information and invigoration LBS. Therefore, in this study suggest a causal model to deal with user satisfaction and factors affecting spatial information based services to customer perspective. The proposed research model is tested empirically with one hundred and forty one usable questionnaires and partial least square (PLS) method. Experimental results showed that the usefulness, playfulness, and service quality play a prominent role in influencing the spatial information services satisfaction compared to other factors. But, easy of use and perceived risk are not significant.

The Location Based Services (LBS) comprise spatial information and mobile technology allow users to receive various services based on Global Positioning Systems (GPS). Although, spatial information based services are very useful, it has lots of possibility to damage privacy protection. But the contents of the legislation by government have problems conflicted between protection of a person's location information and invigoration LBS. Therefore, in this study suggest a causal model to deal with user satisfaction and factors affecting spatial information based services to customer perspective. The proposed research model is tested empirically with one hundred and forty one usable questionnaires and partial least square (PLS) method. Experimental results showed that the usefulness, playfulness, and service quality play a prominent role in influencing the spatial information services satisfaction compared to other factors. But, easy of use and perceived risk are not significant.