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MOTIVATIONS FOR DIGITAL TRANSFORMATION IN GOVERNMENT: INSIGHTS FROM THE PUSH-PULL-MOORING MODEL AND AGE-RELATED INERTIA 政府数字化转型的动机:从 "推-拉-移动 "模式和与年龄有关的惰性中得到的启示
IF 2.9 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-03-06 DOI: 10.1080/10919392.2024.2326716
Hung-Hsun Lin, Ya-Wen Lin, Chang-Tang Chiang, Chien Hsiang Liao
Due to the impact of the COVID-19 pandemic, many enterprises are looking to use electronic services to avoid human-to-human contact. During this transition period, enterprises are embracing new bus...
由于 COVID-19 大流行病的影响,许多企业都希望使用电子服务来避免人与人之间的接触。在这一过渡时期,企业正在采用新的总线技术。
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引用次数: 0
THE FACILITATORS AND INHIBITORS OF CUSTOMER ADOPTION OF PURE INTERNET BANKING: TRUST TRANSFER AND STATUS QUO BIAS 客户采用纯网上银行的促进因素和抑制因素:信任转移和现状偏见
IF 2.9 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-02-22 DOI: 10.1080/10919392.2024.2315714
Chao-Min Chiu, Paul Jen-Hwa Hu, Jack Shih-Chieh Hsu, Yen-Chun Lin
There are three pure Internet banks in Taiwan and Line Bank accounts for more than 90% market share of pure Internet banking. In addition, despite the increasing viability of pure Internet banking,...
台湾有三家纯网络银行,其中 Line Bank 占纯网络银行 90% 以上的市场份额。此外,尽管纯网上银行的生存空间越来越大,但...
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引用次数: 0
DIGITAL PAYMENT PLATFORMS AND SUBSISTENCE ENTREPRENEURS: CHAMPIONING BEYOND THE PANDEMIC 数字支付平台和自给自足的企业家:超越大流行
IF 2.9 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-02-16 DOI: 10.1080/10919392.2024.2316474
Alka Agarwal, Ashish Kumar Jha, Jyoti Jagasia
The COVID-19 pandemic brought forth many restrictions and changes in the lifestyle of people across the globe. There was a need for social distancing and contactless exchanges, which accelerated th...
COVID-19 大流行给全球各地人们的生活方式带来了许多限制和改变。人们需要拉开社会距离,进行非接触式交流,这加速了社会的发展。
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引用次数: 0
UNDERSTANDING ROLES OF INSTITUTION BASED TRUST AND SOCIAL INTERACTIONS IN SOCIAL COMMERCE ENVIRONMENT 了解机构信任和社会互动在社交商务环境中的作用
IF 2.9 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-02-13 DOI: 10.1080/10919392.2024.2313836
Vikas Gautam
User-generated content is a two-edged sword in that it can both build and destroy trust in social commerce Web sites. One of the most important ingredients in the social commerce environment is ins...
用户生成的内容是一把双刃剑,它既能在社交商务网站中建立信任,也能破坏信任。社交商务环境中最重要的因素之一是用户生成内容。
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引用次数: 0
E-GOVERNMENT AND CORRUPTION: IS ACCOUNTABILITY A BRIDGE? 电子政务与腐败:问责制是桥梁吗?
IF 2.9 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-01-21 DOI: 10.1080/10919392.2024.2303943
Shashi Kant Srivastava, Praveen Ranjan Srivastava, Justing Z. Zhang
One of the most pernicious and pervasive threats to the integrity of governments, economies, and societies worldwide is the insidious and corrosive influence of corruption. E-government, everywhere...
腐败对世界各国政府、经济和社会的廉正性造成的最有害、最普遍的威胁之一,就是其阴险和腐蚀性的影响。电子政务,无处不在...
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引用次数: 0
A PROVINCE-LEVEL CONFIGURATIONAL ANALYSIS OF FIXED AND MOBILE BROADBAND ADOPTION 对采用固定和移动宽带的省一级配置分析
IF 2.9 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-01-19 DOI: 10.1080/10919392.2024.2303942
Asunur Cezar
Understanding the factors that influence broadband adoption has been an important quest for academics and stakeholders involved in broadband planning and deployment as broadband connectivity has be...
了解影响宽带采用的因素一直是参与宽带规划和部署的学术界和利益相关者的重要追求,因为宽带连接已经成为一种趋势。
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引用次数: 0
EXTENDING TASK-TECHNOLOGY FIT WITH DUAL INFORMATION PROCESSING MODES IN DISASTER DECISION SUPPORT 在灾害决策支持中利用双重信息处理模式扩展任务与技术的契合度
IF 2.9 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-01-16 DOI: 10.1080/10919392.2023.2299198
Jacob Chia-An Tsai, Shin-Yuan Hung
Leveraging the analytic and heuristic modes of information processing (i.e. the dual information processing modes) equips disaster professionals with valuable insights into decision support process...
利用信息处理的分析模式和启发式模式(即双重信息处理模式),可为灾害专业人员提供决策支持流程方面的宝贵见解...
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引用次数: 0
EXPLORING FACTORS INFLUENCING CONSUMERS’ PARTICIPATION IN ONLINE SHOPPING DAYS: USING DOUBLE 11 DAY AS AN EXAMPLE 探索影响消费者网购日参与的因素:以双11为例
4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-11-09 DOI: 10.1080/10919392.2023.2261811
Shiu-Li Huang, Min-Shan Hung
ABSTRACTAs online shopping days gain popularity, understanding how consumers decide to participate in an online shopping day becomes increasingly important. Extant studies on online shopping days have considered participation intention as a personal intention, which does not allow for a complete understanding of group actions like shopping day participation. Thus, our study’s investigation of online shopping focuses on group intention. This study considers participation in an online shopping day as a form of group behavior and, to explain such behavior, develops a conceptual model based on the model of goal-directed behavior. Ladder interviews are used to identify the features of an online shopping day and the kinds of value that drive consumers to participate in an online shopping day. We find that excitement, fun and enjoyment of life, a sense of accomplishment, a sense of belonging, and self-respect are the major types of value that motivate consumers to participate. Furthermore, two online surveys and a structural equation modeling are conducted to test the conceptual model. The result shows that positive anticipated emotions, group norms, and social identity can increase consumers’ desire, we-intention, and participation behavior. Our findings can help marketers and online store managers devise strategies to attract consumers to participate in online shopping days.KEYWORDS: Online shopping dayvaluemeans-end chainwe-intentionparticipation behavior Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationNotes on contributorsShiu-Li HuangShiu-Li Huang is a distinguished professor at the Department of Business Administration of National Taipei University, Taiwan. His research interests are e-commerce, sharing economy, and information management. His papers have appeared in International Journal of Electronic Commerce, Electronic Commerce Research and Applications, Decision Support Systems, Information & Management, Journal of the Association for Information Systems, International Journal of Information Management, and several other journals.Min-Shan HungMin-Shan Hung received her master’s degree in business administration from National Taipei University. Her research interests are e-commerce and online marketing. By conducting surveys with Internet users, she has interesting findings and presents them in the article.
摘要随着网上购物日的普及,了解消费者如何决定参与网上购物日变得越来越重要。现有的关于网络购物日的研究将参与意愿视为一种个人意愿,无法完全理解购物日参与等群体行为。因此,本研究对网络购物的调查侧重于群体意向。本研究将在线购物日的参与视为群体行为的一种形式,并基于目标导向行为模型开发了一个概念模型来解释这种行为。梯子访谈是用来确定网上购物日的特征和各种价值,推动消费者参与网上购物日。我们发现兴奋、乐趣和享受生活、成就感、归属感和自尊是激励消费者参与的主要价值类型。此外,还进行了两次在线调查和结构方程建模来验证概念模型。结果表明,积极的预期情绪、群体规范和社会认同可以增加消费者的欲望行为、意向行为和参与行为。我们的研究结果可以帮助营销人员和网上商店经理制定策略,吸引消费者参与网上购物日。关键词:网购日价值手段终端链我们意图参与行为披露声明作者未发现潜在利益冲突。作者简介黄绍立黄绍立是台湾国立台北大学工商管理系特聘教授。主要研究方向为电子商务、共享经济、信息管理。他的论文发表在《国际电子商务杂志》、《电子商务研究与应用》、《决策支持系统》、《信息与管理》、《信息系统协会杂志》、《国际信息管理杂志》等期刊上。洪敏珊,国立台北大学工商管理硕士。她的研究兴趣是电子商务和网络营销。通过对互联网用户的调查,她有了有趣的发现,并将其呈现在文章中。
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引用次数: 0
DERIVING TRUST-SUPPORTING DESIGN KNOWLEDGE FOR AI-BASED CHATBOTS IN CUSTOMER SERVICE: A USE CASE FROM THE AUTOMOTIVE INDUSTRY 为客户服务中基于人工智能的聊天机器人获取支持信任的设计知识:来自汽车行业的一个用例
4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-11-08 DOI: 10.1080/10919392.2023.2276631
Martin Sonntag, Jens Mehmann, Frank Teuteberg
ABSTRACTIn the automotive industry, companies are increasingly implementing Artificial Intelligence (AI)-based chatbots to support various processes, especially in the context of customer service. However, there currently is a lack of knowledge, especially systematically derived design knowledge, regarding customer trust in interacting with AI-based chatbots. In this context, a lack of security and transparency, limited social features, and the communication style and quality-related issues of AI-based chatbots are just a few aspects that inhibit customer trust in interacting with this innovative technology, thereby hindering the adoption of chatbots. To address this knowledge gap, we adopted a design theory-based approach and developed a design concept for trust-supporting design knowledge regarding customer interaction with an AI-based chatbot. Design science provides a structured development and evaluation process to support, for example, the adoption of AI-based chatbots. Drawing on trust-based literature, a use case in customer service in the automotive industry, and seven semi-structured expert interviews, we propose 10 meta/user requirements and four design principles for trust-supporting design elements as (e.g. social) signals (stimuli) regarding the interaction with AI-based chatbots. We developed two click prototypes over two evaluation cycles. Each evaluation included an online survey with 180 participants. The findings that were obtained make a valuable contribution to solving the described lack of design knowledge by developing and evaluating different design approaches in the form of prototypical user interfaces. Moreover, the results show that visible design elements such as transparent and factual security signals (stimuli) and trust seals have a significant impact on customer trust.KEYWORDS: AI-based chatbotcustomer servicetrust signaldesign science research Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsMartin SonntagMartin Sonntag (LinkedIn profile) is an external doctoral student at Jade University of Applied Sciences and conducts research on Industry 4.0, Artificial Intelligence, and AI-based chatbots in customer service.Jens MehmannJens Mehmann studied industrial engineering with a focus on process optimization and project management at Osnabrück University of Applied Sciences. He completed his doctorate at the Chair of Business Accounting and Information Systems at the University of Osnabrück. Since 2018, he has been Professor of Supply Chain Management and Operations at Jade University. In 2021, he founded the Institute for Innovative Logistics and the Environment. He is also the founder of Leannova. Leannova is a management consultancy that accompanies companies in the context of digital transformation. In the business areas of process optimization, factory and warehouse planning and IT services, innovative concepts are developed and implemen
在汽车行业,公司越来越多地实施基于人工智能(AI)的聊天机器人来支持各种流程,特别是在客户服务的背景下。然而,目前缺乏关于客户信任与基于人工智能的聊天机器人交互的知识,特别是系统派生的设计知识。在这种情况下,缺乏安全性和透明度,有限的社交功能,以及基于人工智能的聊天机器人的沟通风格和质量相关问题只是抑制客户信任与这种创新技术互动的几个方面,从而阻碍了聊天机器人的采用。为了解决这一知识差距,我们采用了一种基于设计理论的方法,并开发了一种关于客户与基于人工智能的聊天机器人交互的信任支持设计知识的设计概念。设计科学提供了一个结构化的开发和评估过程来支持,例如,采用基于人工智能的聊天机器人。根据基于信任的文献、汽车行业客户服务用例和7个半结构化专家访谈,我们提出了10个元/用户需求和4个设计原则,以支持与基于人工智能的聊天机器人交互的信任设计元素(例如社交)信号(刺激)。我们在两个评估周期中开发了两个点击原型。每次评估都包括一项180人参与的在线调查。通过以原型用户界面的形式开发和评估不同的设计方法,获得的发现对解决所描述的设计知识缺乏做出了有价值的贡献。此外,研究结果显示,透明和真实的安全信号(刺激)和信任印章等可见设计元素对客户信任有显著影响。关键词:人工智能聊天客户服务信任信号设计科学研究披露声明作者未报告潜在利益冲突。martin Sonntag (LinkedIn简介)是玉德应用科技大学的一名外部博士生,主要研究工业4.0、人工智能和基于人工智能的聊天机器人在客户服务中的应用。Jens Mehmann在osnabrck应用科学大学学习工业工程,专注于流程优化和项目管理。他在奥斯纳布尔克大学(University of osnabrck)完成了商业会计和信息系统的博士学位。自2018年起,他一直担任翡翠大学供应链管理与运营教授。2021年,他创立了创新物流与环境研究所。他也是Leannova的创始人。Leannova是一家在数字化转型背景下陪伴企业的管理咨询公司。在流程优化、工厂和仓库规划以及IT服务等业务领域,我们与客户共同开发和实施创新概念。项目工作成果为应用型研究,并附有毕业论文和学生专题。因此,可以说是创新驱动。他是科学和实践导向出版物的作者。主要研究方向为流程优化、自动化与数字化、数字化转型与开放式创新。弗兰克TeutebergDr。Frank Teuteberg是德国奥斯纳布尔大学的正教授。自2007年以来,他一直担任会计和信息系统部门的负责人,该部门是osnabrck大学信息管理和信息系统工程研究所的一部分。他是研究概况线数字社会-创新-监管的发言人,并领导了几个研究项目,总资金量超过1500万欧元。他也是synovacom的创始人。Synovacom是一家IT咨询公司,在数字化转型的背景下为公司提供支持,特别是在创新数字化项目和数字解决方案(如人工智能解决方案)的概念、实施和评估领域,以及在数据分析和数字商业模式领域。此外,他还在工业物联网、电子医疗、人工智能、区块链和人机交互领域的众多同行评审期刊(如技术预测与社会变革、信息与管理)和会议(如国际信息系统会议)上发表了450多篇研究论文,被引用7000多次。
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引用次数: 0
FACTORS INFLUENCING BITCOIN MARKET VOLATILITY DURING THE COVID-19 PANDEMIC CRISIS 新冠肺炎疫情期间影响比特币市场波动的因素
4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-10-15 DOI: 10.1080/10919392.2023.2267957
Zhunzhun Liu, Lu-Xi Zou
ABSTRACTThe ecological structure of the cryptocurrency market and its external environmental impact cannot be ignored. Taking Bitcoin as an example, the study analyzes the Bitcoin market during the COVID-19 pandemic crisis from an environmental perspective based on the differences in the political and economic systems of China and the United States. First, the institutional environment selected in this study is used as an indicator of environmental measurement and divided into formal and informal sectors. In the analysis, the former selects the economic policy uncertainty index of China, while the latter selects bitcoin’s social attention (including Google trends and the Baidu index) and investor sentiment as indicators. Second, financial market data such as foreign exchange and commodity futures are used as indicators for analyzing the environment of the bitcoin market. Using VAR modeling analysis, the results show that both the institutional and the market environment have an impact on bitcoin’s market performance.KEYWORDS: Bitcoineconomic policy uncertaintysocial attentioninvestor sentimentCOVID-19 crisis Disclosure statementThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.Additional informationFundingThis work was supported by the [Shanghai “Super Postdoctoral” Incentive Program] under Grant [number 2021175]; [Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province] under Grant [number 2021SJA1096]; and [Special Foundation for Science and Technology Program (Soft Science Research for Innovation Support Program) of Jiangsu Province] under Grant [number BR2022011].Notes on contributorsZhunzhun LiuZhunzhun Liu is currently a postdoctoral fellow at the Post-Doctoral Research Centre of the Shanghai Gold Exchange, which is a joint postdoctoral programme with the School of Management of Fudan University. She has a Ph.D. degree in Business Management from Zhejiang University. This paper is a subtopic of her doctoral thesis. Her research interests include Financial Market Infrastructure and FinTech, which focuses on third-party payments and cryptocurrencies.Lu-Xi ZouLu-Xi Zou is a senior engineer, associate professor at the School of Management, Xuzhou Medical University. As first or corresponding author, he has more than twenty papers published in important journals with impact factors and Journal Citation Reports in Web of Sciences. He has experience in the area of Information Management. Her research interests are Information Economy, Fintech, and Machine Learning.
【摘要】加密货币市场的生态结构及其外部环境影响不容忽视。本研究以比特币为例,基于中美两国政治经济制度的差异,从环境角度分析新冠肺炎大流行危机期间的比特币市场。首先,将本研究选取的制度环境作为环境测度的指标,并将其划分为正规部门和非正规部门。在分析中,前者选择了中国的经济政策不确定性指数,后者选择了比特币的社会关注度(包括谷歌趋势和百度指数)和投资者情绪作为指标。其次,以外汇、商品期货等金融市场数据为指标,分析比特币市场环境。利用VAR建模分析,结果表明制度和市场环境对比特币的市场表现都有影响。关键词:比特币经济政策不确定性社会关注投资者情绪covid -19危机披露声明作者声明,他们没有已知的竞争经济利益或个人关系,可能会影响本文所报道的工作。本研究由[上海市“超级博士后”奖励计划]资助,项目编号[2021175];[江苏省高校哲学社会科学研究项目]资助项目[2021SJA1096];江苏省科技专项基金(软科学创新支撑计划)[no . BR2022011]。作者简介刘准准目前在上海黄金交易所博士后流动站工作,该流动站是上海黄金交易所与复旦大学管理学院联合设立的博士后流动站。她拥有浙江大学工商管理博士学位。这篇论文是她博士论文的副标题。她的研究兴趣包括金融市场基础设施和金融科技,专注于第三方支付和加密货币。邹鲁喜,高级工程师,徐州医科大学管理学院副教授。以第一作者或通讯作者在重要影响因子期刊和Web of Sciences期刊引文报告上发表论文二十余篇。他在信息管理领域有经验。主要研究方向为信息经济、金融科技、机器学习。
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引用次数: 0
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Journal of Organizational Computing and Electronic Commerce
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