Forthcoming articles


International Journal of Internet and Enterprise Management


These articles have been peer-reviewed and accepted for publication in IJIEM, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.


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International Journal of Internet and Enterprise Management (3 papers in press)


Regular Issues


  • Money Supply, Output Gap and Economic Fluctuations: Evidence from Quarterly Data in China   Order a copy of this article
    by Pan Xie, Yina Zhang, Chao Sun 
    Abstract: Considering the endogenous structure among the aggregate supply curve, Okuns law, and the monetary output effect, this paper calculates the Chinese quarterly output gap between 1995Q4 and 2017Q2 using a SVAR model based upon the inflation rate, real output, the unemployment rate and M2. We then reveal the influence of the time-varying characteristic on the real output using a TVP-SVAR-SV model. First, Chinas economy has experienced four rounds of fluctuations since 1995, and the volatility of output gap became stationary after 2013Q4, which was consistent with the Great Moderation. Second, there was an asymmetric relationship between the volatility of output and money supply after 2000Q4, and an anti-Tobin effect became obvious after 2003. The shock of inflation aggravated the negative impact on output. Third, the output effect of easy monetary policy decreased sharply, and the response cycle shortened following the global financial crisis. Therefore, stimulus policy should be implemented cautiously.
    Keywords: Output gap; Economic fluctuations; Time-varying parameter; SVAR; TVP-SVAR-SV.

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   Order a copy of this article
    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.

  • Adapted RFID anti-collision algorithm and its application in sharing economy   Order a copy of this article
    by Yishu Qiu, Jinsheng Lu, Lvqing Yang, Yezi Xu 
    Abstract: In recent years, the sharing economy has developed vigorously, and the Internet of things(IoT) technology is an important technology to realize the sharing economy. As an automatic identification technology, radio frequency identification (RFID) technology is the key technology to build the Internet of things and an essential part of the sharing economy. In order to solve the collision problem of tags identification, an improved grouping adaptive query tree algorithm (IGAQT) is proposed in this paper. Compared to the most of existing anti-collision algorithms, simulation results show that our proposed algorithm can achieve better performance in terms of time complexity and communication overload. And the algorithm is applied to the actual case of sharing economy.
    Keywords: RFID; sharing economy; IoT.