International Journal of Internet and Enterprise Management (9 papers in press)
Money Supply, Output Gap and Economic Fluctuations: Evidence from Quarterly Data in China
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.
Exploring Ghanaian Women Entrepreneurs Internet Usage
by Murat Erogul, Fanny Quagrainie, Afia Dentaa Dankwa, Alan Kabalan
Abstract: In this paper, we examine the lack of technological knowledge and adaption to evolving technologies as factors influencing sustainable Internet usage among women small businesses. Accordingly, it is important to unearth internal and external factors critical for small business sustainable Internet usage. Against this background, research questions seek to extend knowledge about the strengths, weaknesses, opportunities and threats of sustainable Internet usage. We employ a mixed method approach, utilizing both purposive sampling of 221 female participants. Through thematic and multi-regression models, we analyze the data. Contrary to expectations, the impact of strength and opportunities on the likelihood of sustaining Internet usage are not significant whereas weaknesses and threats may facilitate sustainable Internet usage. Implications of the paper encourage sustainable Internet usage in Ghana, while policymakers should emphasize access to education and technological knowledge, especially addressing cultural issues that affect women entrepreneurship as well as the provision of skills necessary to take advantage of opportunities offered by Internet usage.
Keywords: Internet usage; women; small business; Ghana; sustainability.
Adoption and Risk Management of Bimodal IT Outsourcing Service: Review and Directions for Future Research
by Hongyi Mao, Yeming Gong, Shan Liu, Yajun Zhang, Kunyu Li
Abstract: The rapid pace of technological change in the Internet age has fundamentally transformed information technology (IT) outsourcing. Thus, organisations should be able to reimagine their IT outsourcing strategies to meet the needs of increasingly turbulent business environments. Bimodal IT requires the shaping of IT services to be either agile oriented or efficient oriented, thereby bringing new demands to an organisations' adoption strategies. On the basis of the review of traditional IT outsourcing service research, this paper presents the traditional and nonlinear modes of IT outsourcing service, discusses risk-based IT outsourcing service adoption strategy, relationship and contract management strategies from the static and dynamic perspectives and provides several directions for future research.
Keywords: IT Outsourcing; Service Adoption; Risk Management; Bimodal IT.
Why do People Comment on Government Social Media?- an Empirical Analysis on Chinas Local Governments in Sina Weibo
by Xiaodong Feng, Guoyin Jiang
Abstract: Government microblog is a new way to provide public service and communicate with public. The engagement is an important guarantee to realize the effects of government microblog platform. Different from the studies mainly focusing on the overall behaviors on the platform and collecting data by questionnaire, this research builds an interest-driven behavior model to explain the micro-level public engagement behavior on specific posts published on government microblogs. Specifically, we focus on how the individual's characteristic, features of posts and historical personal interest recorded on the web influence him or her selecting specific post to interact with, and it is verified by the data from Sina Weibo regarding the public's micro behavior on the web. Results of data statistics analysis with Logistics Regression and t-test show that the interest match with posts has significant positive influence on personal engagement, and the interest match of posts by higher administrative level-government officials is lower than by lower administrative level-officials. Also, public with different characteristic are shown different interest topics and different behavior, and posts with rich information will be more likely to receive more engagement. These findings would help government officials much to promote more engagement with public.
Keywords: Government microblog; public engagement; commenting behavior; interest topic; empirical analysis.
Chinese Address Standardization via Hybrid Approach Combining Statistical and Rule-Based Methods
by Xi Chen, Cheng Fang, Aichih (Jasmine) Chang, Yanjiang Yang, Yuan Hong, Haibling Lu
Abstract: This paper is derived from the research project of cleansing customer address data for the State Grid Corporation of China (SGCC), which is the largest electric utility company in the world and was ranked the 2nd in the 2016 Fortune Global 500. Address standardization involves development of a standard address format for data integration, de-duplication, auto address correction/completion, and is widely considered as a very challenging data cleansing task. Address standardization is critical for routine business tasks, customer relationship management, business intelligence for customer-oriented cooperates, and others. Address standardization is particularly difficult for the Chinese language. The underlying reasons include (i) the current address standard placed in China is only realized at the the city/town level, (ii) due to a number of reasons, many hand-written addresses are incomplete or contain errors, (iii) it is difficult to process the Chinese language in a machine fashion due to the language. characteristics. To tackle challenges, we propose a hybrid approach combining both statistical and rule-based methods, which are the two mainstream address standardization approaches. Our hybrid approach utilizes the merits of the both methods and can complete the address standardization task with a little human efforts and computational time, while achieving high accuracy.
Keywords: Natural Lanaguge Processing; Chinese Address; Machine Learning; Rule-Based Method.
Special Issue on: WHICEB 2018 Internet and Enterprise Management in the Sharing Economy
Purchase decision-making process using social capital : moderating effect of trustworthiness
by HANANE THAMIK, JIANG WU
Abstract: Based on social capital theory, the aim of this study is to examine the effect of social capital domains on individuals learning and cognitive attitude which regulates their decision to purchase. Individuals who socially interacts with each other and shared vision using social media, are more likely to share their purchase recommendation, which cognitively motivates to make purchase decision. Where trustworthiness among networks strengthen the relationship of social interaction, social vision and cognitive behavior of an individual. With the help of latest literature theoretical model and number of the hypothesis are built. Data was collected from 360 universities students who use social media to collect information and knowledge and ask for a recommendation from their social capital on which they trust while purchasing products and services. AMOS-21 was used to perform a statistical analysis where for moderation analysis hierarchical regression method was used.
Keywords: Social Capital; Trustworthiness; Cognitive Appraisal; Purchase decision Making process.
The Sharing Economy in Germany and Vietnamis it Internationally Uniform?
by Anja Herrmann-Fankhaenel
Abstract: The Sharing Economy is of international interest. It is said to be an international phenomenonhowever, is there one Sharing Economy or are there differences between countries? By means of a content analysis of texts available on online Sharing Economy platforms, this study contributes to an understanding of the Sharing Economy as an embedded component of the economy and of society. Two countries, Germany and Vietnam, are considered, and an international collection of 280 evaluated online platforms serves as the data set. Asking which of these international online platforms are available in these two countries and, in a second instance, comparing their features with one another provides an idea of their similarities and differences. On the basis of this, assumptions are made in order to conduct further research on the international aspect of the Sharing Economy. In a broader perspective, it points to how the Sharing Economy and the frame of a country-specific system, including its economy and culture, shape it. This is relevant for all actors such as individuals, enterprises, institutions, and academics who are part of the Sharing Economy.
Keywords: Sharing Economy; Vietnam; Germany; Online Platforms; Sharing-Concepts; Qualitative Content Analysis; Field Research.
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.
Adapted RFID anti-collision algorithm and its application in sharing economy
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.