Yes / Cost-saving and sanitation considerations and the challenge of labor shortages have catalyzed the application of service robots in restaurants. Although service robots can perform multiple roles and functions, more research attention is needed in hospitality contexts on how different combinations of using robots and humans at different product/service layers may influence customers’ experiences and behavioral intentions. Building on the literature of product level theory and authenticity, this study empirically investigated this issue with data collected from 364 customers in China. The results show that the use of robots in core and facilitating product levels is less effective in improving consumers’ perceived service and brand authenticity. Consumers’ perceived service authenticity positively influences their brand authenticity and repurchase intention. Consumers’ perceived brand authenticity only positively affects their repurchase intention. Both theoretical and managerial implications are discussed in this paper. / Research Development Fund Publication Prize Award winner, July 2022

Yes / The growing popularity of robot-related research contexts in hospitality and tourism calls for in-depth analysis of how different product/service designs strategies integrating robots may influence customers’ experiences. Employing a scenario-based 2×2×2 experimental research design, this study assesses service robots applied at three different product/service levels (i.e., core, facilitating, and augmented). From surveying 378 customers of mid-priced casual restaurants and 312 tourists of a mid-priced theme park restaurant, findings of the study suggest that using robots at all three product/service levels lead to a more positive educational experience but not entertainment experience. The study further extends the literature by positioning dining at a robotic restaurant as an important occasion to showcase the latest technologies to customers. By providing memorable entertainment and educational experiences, customers’ technology readiness could be enhanced, making them more willing to try new technologies. Such a focus brings in unique contributions both in literature and practice.

This dissertation is composed of three essays at the intersection of international trade and finance. In the first chapter, I measure exchange rate pass-through (ERPT) for value-added exports, where intermediate input requires sharing among countries in a back-and-forth manner for producing a single final product. I derive an estimating equation for ERPT and value-added trade following a partial equilibrium model, which also leads to decomposition of the trade elasticity into the own price effect and the price index effects. From the empirical estimation, I find that ignoring the value-added trade will cause a systematic upward bias in the estimation of ERPT. I also find that there exists substantial heterogeneity in pass-through rates across sectors: sectors with high-integration into global markets functions with a lower rate of exchange in comparison to sectors with less integration. The second essay focuses on a specific market, where I examine the relationship between product attributes and ERPT. This paper estimates the ERPT by using good-level daily data on wholesale prices of imported agricultural products, where the identification is achieved by using daily data on the domestic inflation rate. The results of standard empirical analyses are in line with existing studies that employ lower frequencies of data by showing evidence for incomplete daily ERPT of about 5 percent. The key innovation is achieved when nonlinearities in ERPT are considered, where ERPT is doubled to about 10 percent when daily nominal exchange rate changes are above 0.55 percent, daily frequencies of price change are above 3.12 percent, the storage life of a product is above 10 weeks, and for the non-zero price changes, the ERPT is complete. In the final essay, I focus on the firms’ export pricing strategy: pricing-to-market strategy. To achieve this, I introduce a partial equilibrium model of firm’s pricing strategy, where the market share of a firm plays an important role in the determination of markup. The empirical estimation is that markup ranges from 1.25 to 1.5 across years and 1.25 to 51.23 across firms. I also find that markups come back to their average level within 30 to 60 days of the initial date.