The ‘Blogosphere’ as a platform for interpretative phenomenological analysis: the case of TEFL tourism

The use of the Internet is becoming increasingly integral to the day-to-day operations of society, facilitating an interconnected and globalised world, where geographic barriers are no longer a defining criteria for communication. This opens the researcher up to a realm of research opportunities, which to-date have been under-exploited. This paper contributes to the wider body of literature addressing the concept of Online research, demonstrating in practice how it can be utilised in the context of interpretative phenomenological analysis. It is argued that netnography is akin to interpretative phenomenological analysis (IPA) in that it accounts for an individual’s personal perception or account of an event or state, as opposed to attempting to produce an objective record. This paper outlines how blog analysis can be utilised in the context of IPA, demonstrating how this worked in practice during the initial exploratory research phase of the teaching English as a foreign language tourism phenomenon.     

Crude oil price forecasting based on internet concern using an extreme learning machine

The growing internet concern (IC) over the crude oil market and related events influences market trading, thus creating further instability within the oil market itself. We propose a modeling framework for analyzing the effects of IC on the oil market and for predicting the price volatility of crude oil’s futures market. This novel approach decomposes the original time series into intrinsic modes at different time scales using bivariate empirical mode decomposition (BEMD). The relationship between the oil price volatility and IC at an individual frequency is investigated. By utilizing decomposed intrinsic modes as specified characteristics, we also construct extreme learning machine (ELM) models with variant forecasting schemes. The experimental results illustrate that ELM models that incorporate intrinsic modes and IC outperform the baseline ELM and other benchmarks at distinct horizons. Having the power to improve the accuracy of baseline models, internet searching is a practical way of quantifying investor attention, which can help to predict short-run price fluctuations in the oil market.     

“两网融合”背景下贸易经济专业人才培养模式探讨

本文总结梳理了“两网融合”复合型贸易经济专业人才培养的现状和新的要求,分析了“两网融合”复合型贸易经济专业人才培养的发展方向。从建立教学和科研复合型教学团队模式、信息化平台和实验室“多媒介”培养模式、“两网融合”平台全流程内部审计型人才培养模式、“课程思政+专业技能”结合教学模式等四个方面总结模式创新的基本途径。     

大数据、人工智能与厂商竞争路径

经济学对市场竞争路径的学理性分析，主要集中在价格确定、产量确定、规模经济、产业组织等方面，而对科技进步引发市场竞争路径的变化并没有足够的关注。其实，市场竞争路径变化的底蕴是科技进步，只是经济学家在分析市场竞争路径时偏好于将科技因素作为外生变量处理。大数据和人工智能等的发展可谓是一场史无前例的科技革命，它对人类经济活动产生广泛而深刻的影响主要表现为：大数据及其运用怎样影响厂商投资经营，大数据与机器学习等人工智能手段相融合会在哪些方面改变厂商竞争路径，厂商如何提高数据智能化和实现网络协同化，在什么样的条件下会出现行业垄断，等等。文章的基本分析观点是：厂商竞争路径变化是贯穿于大数据、互联网和人工智能等相互融合过程的一种现象，这种现象对应于新科技进步和运用的不同层级；微观经济分析需要将新科技因素作为内生变量，通过分析大数据、机器学习与厂商竞争路径之间的关联，揭示厂商竞争路径变化机理以及由此引致的产业组织等问题。     

Nicknames as identity badges: How self-reflective nicknames can facilitate users’ online social interactions

An Internet nickname is essential in facilitating online interpersonal interactions. It is a pivotal element of interaction that provides other users with an initial impression and affects the decisions and behaviors of users during their online interactions. Although the existing literature has found that nicknames are relevant to users’ psychology and behavior, direct research on the motivation for and the effect of choosing a particular Internet nickname has been very limited. Borrowing from relevant theories on avatars, this paper summarizes the motivations behind Internet nickname choices in terms of three aspects: virtual exploration, social navigation and contextual adaptation. Moreover, from the perspective of collective self-esteem (CSE) and group identification, this research explores the influence mechanism between the motivations underlying Internet nickname choices and users’ online social interactions. A total of 394 samples were obtained from online communities in China to test our research model. We found that virtual exploration, social navigation and contextual adaptation are three motivations for creating Internet nicknames, and they have direct effects on the online social interactions of users. CSE has a full mediating effect between virtual exploration and online social interaction and acts as a mediated variable between social navigation and online social interaction. Group identification fully mediates the relationship between social navigation and online social interaction as well as that between contextual adaptation and online social interaction. The conclusion of this paper provides not only a new perspective for the study of Internet nicknames but also a potentially feasible way to stimulate users’ online social interactions.     

高职学生乡村振兴意愿与影响因素研究——基于广东交通职业技术学院的调研分析

乡村振兴战略是党的十九大提出的一项重大战略,其中人才振兴是乡村振兴的基础,但农村客观上存在很多难以短时间解决的困难,青壮年、大学生都倾向于留在大城市工作,人才紧缺已经成为限制农村发展的重要瓶颈,如何让更多的大学生参与助力乡村振兴中的研究具有重要的社会意义和现实意义。本文针对高职大学生群体进行研究,在“互联网+”时代背景下,分析了高职大学生的就业创业特点、参与乡村振兴的意愿动机,和内外部的影响因素等,试图寻找适合当代大学生投身乡村振兴的方法和模式,同时,也从大学生的角度提出了如何建立健全相关的国家、社会和学校的支持体系。     

Exploring the development trend of internet finance in China: Perspective from club convergence

We first employ β-conditional convergence and log t regression tests based on nonlinear time-varying factor model and club clustering algorithm to analyze the convergence characteristics of the development level of Internet finance in 335 prefecture-level cities in China. The result of log t regression test illustrates that there is no convergence as a whole in the development level of China's Internet finance. However, seven convergence clubs and a divergent group have been formed, and the development level and growth rate of Internet finance among these convergence clubs have shown obvious differences. Moreover, we also employ the Ordered Probit to explore the formation mechanism of the convergence clubs. The results reveal that the regions with a higher level of economic development, traditional financial development, economic openness and Internet development are more inclined to converge in a club with a higher Internet finance development level. Alternatively, the regions that are interfered with more by the government or that have a lower degree of marketization, tend to converge in a club with a lower level. Finally, according to the conclusions, we propose corresponding policy recommendations for promoting the regional coordinated development of China's Internet finance.     

Fashionability vis-à-vis rationality: investigating factors driving users’ e-tourism website stickiness

Understanding what drive users’ website stickiness is of strategic importance for e-tourism managers. This study examines the role of a neglected construct ‘perceived fashionability’ in forming users’ e-tourism website stickiness in comparison with four commonly studied rational factors: system quality, information quality, security and e-shopping value. Drawing upon dual-system theories and social influence theories, a conceptual model with hypotheses was developed and tested. A sample of 376 e-tourism website users in China participated in this study. The results indicate that perceived fashionability has a positive impact on user's stickiness to the website, and perceived fashionability also performs a mediating role between website security and stickiness. This study contributes to theory by explaining that website stickiness is not entirely driven by rationality but also perceived fashionability. Managerial implications for e-tourism strategies are provided.     

How the Internet Promotes China's Exports: A Firm‐level Perspective

The development of information and communications technology (ICT), particularly the Internet, has reduced trade costs. However, it remains unclear whether these reduced costs are reflected in the “extensive margins” of firms’ exports (which refer to the probability of firms exporting) or the “intensive margins” (which refer to the value of firms’ export). To test this, we used the concepts of information cost and binary margins, an augmented trade model of firm heterogeneity, a two‐stage Heckman estimation, and data from the World Bank Enterprise Survey of Chinese firms in 2012. The results revealed that reduced trade costs from the use of ICT were positively related to extensive margins but that the connection with intensive margins was not significant. The results lead to the conclusion that reduced information costs related to a firm's exporting behavior were primarily reflected in variable trade costs. This study offers theoretical and empirical evidence for China's policies towards the Internet, which are relevant for the export of manufactured goods. The government should encourage the use of ICT to enhance firms’ export opportunities while facing current trade policy uncertainty.     

The Internet of Things as an accelerator of advancement of broadband networks: A case of Thailand

The advanced development of broadband access is an inevitable step toward supportive daily lives and sustainable economic growth. However, the decisive outcome of the development relies heavily on the demand side. Consumer choice among advanced Internet broadband technologies will determine the achievement of the development. This study aims to illustrate that consumer decisions on choices of advanced Internet access are influenced by the emergence of the Internet of Things (IoT) applications. A bivariate probit model is applied to examine the effects of IoT, consumer's individual characteristics, and their current use of networks on their decision pertaining to the choice of advanced Internet access. Using Thailand as a case study, the result indicates that the emergence of IoT applications accelerates the adoption of both advanced mobile broadband (5G) and advanced fixed broadband (FTTH). This finding may help policy makers to optimize the future direction of the Internet infrastructure development in Thailand, and also countries in a similar stage.