International Journal of Internet and Enterprise Management (4 papers in press)
Heteromorphism: Beaconing IT Innovations under Institutional Pressure towards Unique Capabilities
by Jerrel Leung, Waiman Cheung, Sung-Chi Chu
Abstract: RFID is a promising technology that holds the potential to significantly improve supply chain performance. However, the expected large scale diffusion did not ensue. Major retailers indeed reported great benefits with RFID in 2004, but the diffusion stagnated afterwards. Various studies argue that RFID has brought many organizations disappointing results. Furthermore, RFID innovations showed that there were exceptions, where organizations were able to make use of the technology and gained competitive advantages over time. We use two rather competing theories, namely Institutional Theory and Resource Based View, to explain the exceptional cases. Institutional Theory can explain that organizations often imitate RFID pioneers due to an institutional pressure, which leads to organizations turning homogeneous and causes disappointing results. Whereas, Resource Based View can explain that organizations gain significant benefits by developing unique capabilities and become heterogeneous instead. We posit that organizations do not necessarily need to strike a balance between the institutional and resource based determinants, as suggested in the literature. The IT innovation process can be rather sequential, as can be observed with RFID innovations. An in-depth case study is leveraged to describe the process of turning an IT innovation under institutional pressure into unique capabilities.
Keywords: IT innovation; institutional theory; resource based view; mindfulness; RFID.
Cross-Border Online Shopping Intention of Chinese Consumers Based on Different Cultural Orientations
by Xiaosong WU, Shan Liu, Na Wang, Yeming (Yale) Gong
Abstract: Foreign brand attitude and reference group influence are limited in terms of providing sufficient explanation to the cross-border online shopping (COS) behavior of consumers. Therefore, two different cultural concepts and intercultural adaption should be considered in the COS context. This study chose healthy consumer ethnocentrism (CET) as a national-oriented cultural concept and intercultural sensitivity (ICS) as product country-of-origin-oriented cultural concept. Data analysis of 201 online questionnaires shows that foreign brand attitude and COS intention are positively affected by ICS but negatively influenced by healthy CET. Moreover, the influence of value-expressive reference group positively affects the COS intention. Given the moderating effect of gender, the influences of males and females on the COS intention have several differences. This study revealed the complex mentality of Chinese consumers during COS that is affected by cultural concepts of varying orientations.
Keywords: healthy consumer ethnocentrism; intercultural sensitivity; value-expressive reference group influence; cross-border online shopping intention.
What trend the Natural Gas Pricing Mechanism Reform is in China: An perspective of dependency between China and the U.S. natural gas markets
by Qing Zhu, Lanlin Ding, Yiqiong Wu
Abstract: Establishing a natural gas market-based pricing mechanism was an important part of Chinese market reforms. This paper explores the achievements of the natural gas pricing mechanism reform since 2013 and examines the current trends in the natural gas market. By examining the relationship between China and the United States natural gas markets, the trends in China's natural gas market reform can be determined. To this aim, we used a Copula function to analyze the relationship between the liquid natural gas arrival price in Guangzhou and the Henry Hub natural gas spot price in the United States from 2013 to 2017. It was found that the correlations between the two natural gas market prices increased year on year from 2013 to 2015, with the rank correlation coefficient reaching a maximum of 0.73 in 2015; however, even though in 2016 and 2017, the correlations between the two markets were negative, the negativity was gradually decreasing, indicating that China's natural gas market price was gradually converging with the United States natural gas market price from 2013-2015 and had a temporary separation in 2016 and 2017, at which time there were obvious fluctuations in the Guangzhou natural gas prices. It was concluded, therefore, that while China's natural gas pricing mechanism reform has had some achievements and is becoming more dependent on market mechanisms, it also needs to be further strengthened. Further, China needs to continue to learn from the United States natural gas development process.
Keywords: Copula function; dependency; natural gas price; rank correlation coefficient.
Special Issue on: WHICEB 2018 Internet and Enterprise Management in the Sharing Economy
An exploration of sharing economy market segment structure: a case study of Airbnb
by Qing Zhu, Yiqiong Wu, Yuze Li, Bing Pan
Abstract: The sharing economy has experienced rapid development in the past few years; nonetheless, at present, it is still in its infancy. As the sharing economy harnesses an innovative, novel business model, traditional marketing countermeasures are insufficient. Therefore, the sharing economy market patterns need to be explored and appropriate marketing countermeasures developed. To this end, text mining was applied to reviews on a typical sharing economy platform, Airbnb, to accomplish market segmentation. The results suggested that the host is the most valued factor to Airbnb guests. Thus, different from traditional hotel industry, it is essential for emerging peer-to-peer accommodation platform to encourage host to establish good interaction between the guests and the hosts. Meanwhile, cleanliness and convenience are also two major concerns to Airbnb guests, which indicates that Airbnb platform should encourage hosts to promote hotel-like properties for Airbnb listings. In addition, there is no strong evidence of heterogeneity in guests seeking accommodation in different locations.
Keywords: Market segmentation; Sharing economic; Text mining; Airbnb.