Will Online Car-Hailing Affect Consumers’ Decisions about Automobile Purchase?—An Empirical Study Based on Questionnaire Investigation

The online car-hailing industry, which provides the right of use, has a certain impact on the traditional automobile market, but there is no unified theory on whether it has a positive impact or a negative impact. Based on 362 consumer questionnaire data, this study builds a structural equation model to discuss the driving factors of residents’ choice of online car-hailing and whether the development of online car-hailing will have a certain substitution impact on the sales of private cars. From the perspective of consumers’ purchase intention, the research results show that consumers’ price consciousness, convenience consciousness, environmental protection consciousness and possession tendency will affect their choice of travel mode, and the use of online car-hailing is positively correlated with consumers’ willingness to replace private car ownership with online car-hailing.

The influence of different types of satisfaction on loyalty on C2C online shopping platform:From the perspective of sellers and the platform

With the rise and development of major types of platforms,the competition for resources has become extremely fierce,and the market share of C2C platforms has been seriously threatened by the loss of resources.Therefore,building and maintaining buyers’satisfaction and loyalty to C2C platforms is critical to the survival and sustainability of C2C platforms in China.However,the current knowledge on how platform satisfaction and loyalty are constructed in the C2C e-commerce environment is incomplete.In this study,seller-based satisfaction and platform-based satisfaction are constructed separately.We further distinguish seller-based transaction satisfaction into economic and social satisfaction and explore their antecedents and consequences.To test our research hypotheses,we conduct a survey and collect data from a real online market(Taobao website).The results show that seller-based transaction satisfaction positively affects platform-based overall satisfaction and loyalty,and that perceived product quality,perceived assurance,and perceived price fairness all have a significant effect on economic satisfaction,whereas perceived relationship quality and perceived empathy significantly influence social satisfaction.These findings help us understand the literature related to customer satisfaction in the context of C2C in China and provide inspiration for online sellers and platforms.

Study of The Technical Index of Online Learning Behavior Analysis of Nursing Majors on The Superstar Platform Based on The Kirkpatrick Evaluation Model

Objective:To analyze the technical indexes of students’online learning behavior analysis based on Kirkman’s evaluation model,sort out the basic indexes of online learning behavior,and extract scientific and efficient evaluation indexes of online learning effect through statistical analysis.Methods:The online learning behavior data of Physiology of nursing students from 2021-2023 and the first semester of 22 nursing classes(3 and 4)were collected and analyzed.The preset learning behavior indexes were analyzed by multi-dimensional analysis and a correlation analysis was conducted between the indexes and the final examination scores to screen for the dominant important indexes for online learning effect evaluation.Results:The study found that the demand for online learning of nursing students from 2021-2023 increased and the effect was statistically significant.Compared with the stage assessment results,the online learning effect was statistically significant.Conclusion:The main indicators for evaluating and classifying online learning behaviors were summarized.These two indicators can help teachers predict which part of students need learning intervention,optimize the teaching process,and help students improve their learning behavior and academic performance.

A Study on consumers＇ continuing to use online group-buying platforms： The impact of price performance expectations

In this study, we aim to understand the characteristics of online group-buying consumers and to investigate salient factors which influence the continuance intention of online group-buying platforms （OGBP） to bridge this knowledge gap. An expectation-confirmation model of information systems （IS） continuance is adapted to construct a research model in online group-buying contexts. A total of 289 complete and valid responses were collected. Our findings contribute to academics and practitioners in two ways： Firstly, our respondents show that they are young （93% of the respondents＇ ages range between 19 and 28 years old）, female （88% of the respondents）, and thrifty （82% of the respondents＇ transaction amounts are below US$16）. Secondly, based on our results, price performance expectations have a direct impact on confirmation. In addition, in contrast to the IS continuance model （Bhattacherjee, 2001）, the effect of perceived usefulness on satisfaction is not supported. Thus, in online group-buying settings, confirmation is the key antecedent of satisfaction. Satisfaction and perceived usefulness are significantly associated with OGBP continuance intention. Consequently, in addition to offering a wide assortment of merchandise and a convenient online shopping experience to enhance customers＇ perceived usefulness of OGBP, OGBP managers should aim low-price marketing strategies at this female, young, thrifty and price-sensitive segment to transcend consumers＇ price expectations and attract consumers＇ continued intention to visit OGBP.

Legitimation of Business Model Innovation from the Perspective of Evaluator Categorization:A Case Study of the Emergence of Online Car-Hailing

Business model innovation faces multiple tests of legitimacy.Most extant research in this area has been conducted from institutional and strategic perspectives while paying insufficient attention to the perspective of evaluators.Based on the institutionalization of China's online car-hailing industry from 2012 to 2018,this paper analyzes the legitimacy judgment of the stakeholders from the perspective of evaluator categorization and explores the legitimation mechanism of business model innovation.It finds that evaluators judge the legitimacy of business models based on category cognition.Therefore,to achieve the bridging,spillover,and accumulation effects of legitimacy,the legitimation strategy of online car-hailing platforms should dynamically adapt to different evaluators,judgment models,and categorization standards.Ultimately,as quantitative changes lead to qualitative changes,the legitimation of innovative business models is achieved in this way.In this process,stakeholders categorize and evaluate online car-hailing based on prototypes and value goals,and establish a two-way interactive mechanism,which is from behavior guided by cognition to cognition given feedback by behavior.This paper combines the legitimacy judgment with category theory to explain how individual cognition drives the emergence of new categories and identifies a series of legitimacy strategies based on categorization,thus providing theoretical support and practical inspiration for exploring the legitimation of business model innovation.

Design and Implementation of Online Experimental Platform for Computer Networks Course

Practice training is very important for students learning Computer networks.But building a real laboratory is constrained and expensive.In this paper,we present an online experimental platform for computer networks course based on Dynamips simulator.Instructors and students can access the platform by IE Browser to manage and take router experiments.On the basis of deployment and testing,the platform is effective and flexible.

Computation Analysis of Brand Experience Dimensions: Indian Online Food Delivery Platforms

Online Food Delivery Platforms(OFDPs)has witnessed phenomenal growth in the past few years,especially this year due to the COVID-19 pandemic.This Pandemic has forced many governments across the world to give momentum to OFD services and make their presence among the customers.The Presence of several multinational and national companies in this sector has enhanced the competition and companies are trying to adapt various marketing strategies and exploring the brand experience(BEX)dimension that helps in enhancing the brand equity(BE)of OFDPs.BEXs are critical for building brand loyalty(BL)and making companies profitable.Customers can experience different kinds of brand experiences through feeling,emotions,affection,behavior,and intellect.The present research work is taken up to analyze the factors affecting BEX and its impact on BL and BE of the OFDPs and analyze the mediating role of BL in the relationship between BEX and BE of the OFDPs in the Indian context.A survey of 457 Indian customers was carried out.A questionnaire was used for data collection and a mediation study was used to test hypothesized relationships.Our computational analysis reveals that BEX influences the BL and BE of OFDPs.The study further indicates that BL mediates the relationship between BEX and BE of OFDPs.The effective marketing and relationship management practices will help company to enhance BEX that will enable in enhancing BL and raising BE of their product.It therefore provides a more thorough analysis of BEX constructs and their consequences than previous research.Some of the managerial implication,limitations,and scope of future research are also presented in the study.

Comprehensive Online Management Based on Cloud Platform for Breast Cancer Patients Using Dual-Targeted Therapy with Macromolecular Monoclonal Antibodies

Objective: The purpose of the study was to explore the application effects of the cloud platform-based comprehensive online management for breast cancer patients using dual-targeted therapy with macromolecular monoclonal antibodies. Methods: 120 breast cancer patients treated by dual-targeted therapy with macromolecular monoclonal antibodies were managed by a cloud platform from March to November 2019. Comprehensive online management included consultation about drugs and side effects and frequently asked questions in the dual-targeted therapy with macromolecular monoclonal antibodies. Results: In the consultation about drugs and side effects, there were five patients with fever, neutrophil, cough, and fatigue;24 with diarrhea;25 with nausea;11 with oral mucosal inflammation;10 with rashes and dry skin;8 with insomnia;and 1 with palpitation. Moreover, 110 patients with anxiety about the missed or delayed treatment were properly handled. Conclusion: The comprehensive online management of dual-targeted therapy with macromolecular monoclonal antibodies based on the cloud platform is helpful to satisfy the at-home breast cancer patients’ needs, ensure the continuity of dual-targeted therapy with macromolecular monoclonal antibodies for breast cancer patients, prevent misinformation, alleviate patients’ negative psychological emotions, and reduce patients’ economic losses. The online cloud platform integrated management model is crucial for managing patients with breast cancer treated by dual-targeted therapy.

How Does Online Fundraising Platform Promote Public Donation in China？-An Empirical Analysis From Tencent Fundraising Platform

At present, the huge problem that China’s Non-profit Organizations are facing is the low efficiency of public fundraising. However, the newly appeared Online Fundraising Platform indicates some possibilities in overcoming the obstacle for public fundraising. Among which Tencent Online Fundraising Platform becomes the typical and the point cut of exploring Online Fundraising Platform Improving Efficiency Mechanism of public donation. Online Fundraising Platform is similar to the online United Way, relying on the advantages of the Internet and the united fundraising to build a ecosystem of public donation which has professional fundraising system, good charity atmosphere, excellent policy environment and crossover cooperation resources. And in which, many factors get improved in pubic donation influence factors system. For one thing, Charity atmosphere and policy environment can be shaped better. For another, the charities can transmit fundraising information in inexpensive and high-efficiency way, and must ensure the transparency of project and donation. Finally, it will be more convenient for donors to get charitable information, make donations and supervise the nonprofit organizations.

Positive study on the construction of consumption online platforms in colleges ＆ universities

Currently, online shopping has become an option in people＇s daily consumption, especially for large groups of college students. Based on the practical research of consumers groups of college students, this paper analyzes the affecting factors on consumers＇ satisfaction among groups of college students, and also tests the affecting factors. Thus, the authors give their proposals on how to build the consumer online platforms in colleges and universities, and the prospects forecast on the campus online market.

在线课程背景下高职英语online+offline教学模式的应用研究

通过对当前英语教学中存在问题的统计分析,依托在线开放课程平台,利用英语课前、课上和课后教学实践活动验证英语online+offline教学新模式下的教学设计、教学组织形式、教学方法手段、考核评价方式等对英语教学效果的提升作用。

基于在线开放课程平台的高职英语“online+offline”学习方式研究

随着教育信息化理念指导各学科教学的不断深入,有关信息化课堂教学中学生学习方式的研究成为不可忽视的关注点。基于在线开放课程信息化平台对英语教学及学习的支持,以建构主义学习理论为指导,探讨现代信息环境下英语主要教学环节与学习方式的关系,阐释通过自主学习、合作学习等方式在英语"online+offline"课堂教学中有效开展学习活动,提升学生学习效率,为英语课堂教学改革提供参考。

基于“超星学习通+希冀Online Judge”的多平台立体化教学模式在“数据结构”教学中的实践

作为信息技术相关专业中一门重要的专业核心课程,"数据结构"一直是教学改革的热门。针对“数据结构”抽象性和实践性强的特点,文章提出了一种基于“超星学习通十希冀Online Judge”的多平台立体化教学法,融合了两个平台的资源发布、作业管理,考试管理,程序自动评判等功能,并将其应用于教学实践。在实施过程中极大激发了学生的学习热情,提高了学生解决实际问题的能力,取得了良好的教学效果。

基于LAMP框架的分布式Online Judge平台的研究与应用

本文在数字化背景下,针对Python程序设计课中缺乏多元化的教学方式和有弹性的评价方法等问题,以OBE理念为导向,采用Linux系统,Apache集群为Web服务器,PHP为基础语言,MySQL为数据存储(Store)容器,构建分布式Online Judge平台,使其成为“混合式”教学模式的重要一环,提升学生学习Python的兴趣和编程能力,提高人才培养质量。

The Strategic Analysis of Demand Forecast-Sharing in a Hybrid-Format Online Platform Supply Chain

This paper examines the optimal forecast-sharing strategy in a hybrid-format online platform supply chain where a supplier sells a product through agency format and reselling format provided by a platform retailer who possesses demand forecasts from two channels.Forecast asymmetry and co-opetitive relationship arise between the platform retailer and the supplier,which affect their operational decisions and the supply chain’s performance.To improve supply chain efficiency,we compare different forecast-sharing strategies(i.e.,no forecast sharing,sharing a single forecast,and sharing two forecasts),and analyze the effects of co-opetitive parameters on the optimal forecast-sharing strategy.Our analysis shows that forecast sharing is always beneficial to the supplier,and sharing two forecasts is more beneficial than sharing a single forecast.Whereas for the platform retailer and the whole supply chain,forecast sharing is beneficial only under certain conditions,depending on the co-opetitive parameters.The optimal forecast-sharing strategy is the result of a combination of the negative effect of double marginalization in reselling channel and the positive effect of responding pricing to demand uncertainty in agency channel.We illustrate the parameter regions of the platform retailer’s voluntary sharing,contract sharing,and no sharing,and also find that higher channel competition intensity,higher market share of agency channel,and higher commission rate can promote the platform retailer’s voluntary sharing.Our study extends the research scope of demand forecast-sharing and sheds light on the decision-making processes for managing a hybrid-format online platform supply chain.

The Impact of Personalized Learning Path Design on Online Education Platforms on Students’Self-Learning Abilities

The study investigates the impact of personalized learning path design on students’self-learning abilities(SLA)within online education platforms.Employing a mixed-methods approach,the research examines the effectiveness of personalized learning through quantitative surveys and qualitative interviews with a diverse sample of online learners.The findings indicate that personalized learning path design significantly enhances students’self-efficacy,engagement,and satisfaction,leading to improved SLA.The study’s conceptual model and empirical data support the hypothesis that personalization in learning environments fosters self-directed learning skills.The discussion highlights the implications for educational practice,emphasizing the need for online platforms to prioritize personalization and for educators to adapt their teaching methods to support diverse learner needs.The research also acknowledges limitations and suggests future directions,including longitudinal studies and expanded participant demographics.The study concludes that personalized learning path design is a promising strategy for online education platforms to empower learners and promote lifelong learning skills.

An Online English Course Teaching Model Based on Scene Simulation

In order to improve the English online courses teaching scene adaptability, optimize the online English teaching mode, improve the quality of English teaching, an English online course teaching platform is proposed based on scene simulation. B/S client communication protocol is constructed in network transport layer, and the scene simulation model of English Online Course Teaching is established, online English teaching platform designed in this paper is constructed based on the sensing layer, network layer and application layer. A data processing center is constructed in the B/S structure and the network environment, Open Core kernel is used to realize the optimization of teaching model of English online courses, improve the teaching platform of online courses, and improve the scene adaptation ability. The test results show that the platform for online English teaching has better independent learning ability, the effectiveness of online English course teaching is better, test objects have higher satisfaction with English Online Course Teaching.

Learning Mathematics Online Using Information Technology Tools during COVID-19 in Kosove

The COVID-19 pandemic has brought significant challenges to higher education worldwide. Due to the COVID-19 pandemic, e-learning has begun to be widely used and applied in the teaching and learning processes. However, learning under technological circumstances has proven not always to be a proper solution in education. A highlight challenge, in this regard, is considered to be learning Mathematics online. While some support its positive impact, others greatly oppose it by arguing that neither teaching nor learning has proven successful. Thus, this study examines Kosovo selected universities to see the effectiveness of learning Mathematics online as a case study. Further, it compares the online and traditional learning methods and explores how teachers in higher education in Kosova Universities apply and integrate technology into learning mathematics. This study employed a methodology encompassing questionnaires for students. The results show that students are not overall satisfied with learning Mathematics online leading to the conclusion that online learning is not an effective educational method for learning Mathematics.

Self-Directed Creativity in Web 2.0-Based Online Communities： Research Model and Exploratory Study

Web 2.0-based online communities and social networking platforms in particular enable users to create their own content, share this content with anyone they invite and organize connections with existing or new online contacts. The underlying processes are self-directed and represent a valuable source for creativity and innovation---especially outside firms＇ boundaries. The basis for the authors＇ research in progress is a framework which focuses on the relations between intrinsic motivation, creativity and Web 2.0-based online communities or social networking platforms. First results of the authors＇ exploratory empirical investigation of a specific social networking platform suggest that the authors＇ two propositions are valid.

Current Trends in Online Programming Languages Learning Tools: A Systematic Literature Review

Students face difficulties in programming languages learning (PLL) which encourages many scholars to investigate the factors behind that. Although there a number of positive and negative factors found to be effective in PLL procedure, utilising online tools in PLL were recognized as a positive recommended means. This motivates many researchers to provide solutions and proposals which result in a number of choices and options. However, categorising those efforts and showing what has been done, would provide a better and clear image for future studies. Therefore, this paper aims to conduct a systematic literature review to show what studies have been done and then categorise them based on the type of online tools and the aims of the research. The study follows Kitchenham and Charters guidelines for writing SLR (Systematic Literature Review). The search result reached 1390 publications between 2013-09/2018. After the filtration which has been done through selected criteria, 160 publications were found to be adequate to answer the review questions. The main results of this systematic review are categorizing the aims of the studies in online PLL tools, classifying the tools and finding the current trends of the online PLL tools.