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Management Emotion and Firm’s Strategic IT Investment Propensity 管理情绪与企业信息技术战略投资倾向
IF 2.8 4区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-06-13 DOI: 10.1080/08874417.2023.2222085
Nan Wang, Weijun Zheng, Wenbo Zhang
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引用次数: 0
Data Science with Semantic Technologies: Application to Information Systems Development 数据科学与语义技术:在信息系统开发中的应用
IF 2.8 4区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-06-06 DOI: 10.1080/08874417.2023.2220294
Sihem Ben Sassi, Nacim Yanes
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引用次数: 1
Can Stablecoins Foster Cryptocurrencies Adoption? 稳定币能促进加密货币的采用吗?
IF 2.8 4区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-05-26 DOI: 10.1080/08874417.2023.2214103
Cheuk Hang Au, Wen Shou Hsu, Po-Hsu Shieh, Yue-Wei Lin
Pegging to fiat currencies, stablecoins are cryptocurrencies with stable prices. Theoretically, stablecoins may mediate price volatility issues, which have been resisting the wider adoption of cryptocurrencies. And yet, their impact on fostering individuals ’ cryptocurrenc y adoptions remains unclear. In this study, we adopted hot cryptocurrency wallets (hot-wallets) as the context and the Push-Pull-Mooring (PPM) model as the theoretical foundations to test these impacts. Our preliminary results showed that less experienced cryptocurrency users may not understand immediately upon learning about stablecoins. They may even feel confused and become less motivated to adopt cryptocurrencies. Conversely, more experienced users may recognize the importance of stablecoins. Hot-wallets that have included stablecoins are more likely to be used by these experienced users. The significant difference between users in terms of experience has hinted that hot-wallet service providers may need to adopt more diversified strategies to engage different potential users.
稳定币与法定货币挂钩,是价格稳定的加密货币。从理论上讲,稳定币可能会调解价格波动问题,而价格波动问题一直在抵制加密货币的广泛采用。然而,它们对促进个人采用加密货币的影响仍不清楚。在本研究中,我们采用热加密货币钱包(热钱包)作为背景,推拉系泊(PPM)模型作为理论基础来测试这些影响。我们的初步结果表明,经验不足的加密货币用户在了解稳定币后可能无法立即理解。他们甚至可能会感到困惑,变得不那么有动力采用加密货币。相反,更有经验的用户可能会认识到稳定币的重要性。包含稳定币的热钱包更有可能被这些有经验的用户使用。用户体验的显著差异暗示热钱包服务提供商可能需要采取更多样化的策略来吸引不同的潜在用户。
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引用次数: 0
Social Entrepreneurship Success: Relevance to Social Mediating Technologies 社会创业成功:与社会中介技术相关
IF 2.8 4区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-05-11 DOI: 10.1080/08874417.2023.2204822
D. C. Chou, Binshan Lin
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引用次数: 1
The Effects of USR and Its Communication on Faculty Satisfaction USR及其沟通对教师满意度的影响
IF 2.8 4区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-05-05 DOI: 10.1080/08874417.2023.2195380
A. Górska, P. Korzyński, G. Mazurek
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引用次数: 0
Antecedents and Outcomes of Blockchain Technology Adoption: Meta-Analysis 区块链技术采用的前因与结果:元分析
IF 2.8 4区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-05-05 DOI: 10.1080/08874417.2023.2205370
Neelesh Kumar Mishra, A. Raj, A. Jeyaraj, RiyaR. Gupta.
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引用次数: 1
Big Data Challenges in Social Sciences: An NLP Analysis 社会科学中的大数据挑战:NLP分析
IF 2.8 4区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-05-04 DOI: 10.1080/08874417.2022.2085211
M. Zwilling
ABSTRACT Data science is considered to be a complex domain. It involves the skillful implementation of a multitude of data analysis and interpretation methods to reach managerial and operational decisions. For this reason, it poses a number of challenges to students in all disciplines, especially in the social sciences. The present study highlights these challenges through the analysis of 4 complementary research works that are based on 3 instruments: a scientific corpus, surveys, and data science job offers posted on LinkedIn-Israel. The study’s findings indicate that although data science is perceived to be an important domain that exerts a high influence on our society, social sciences’ students still do not have sufficient skills to cope with the challenges it poses. The study suggests equipping students with the skills and qualifications necessary for big data analysis through the design of adequate academic programs. The current article discusses these findings and their implications.
数据科学被认为是一个复杂的领域。它涉及到大量数据分析和解释方法的熟练实施,以达到管理和运营决策。由于这个原因,它给所有学科的学生,特别是社会科学的学生提出了许多挑战。本研究通过分析基于3种工具的4项互补研究工作,突出了这些挑战:科学语料库、调查和LinkedIn-Israel上发布的数据科学工作机会。该研究的结果表明,尽管数据科学被认为是一个对我们的社会产生重大影响的重要领域,但社会科学专业的学生仍然没有足够的技能来应对它带来的挑战。该研究建议,通过设计适当的学术课程,让学生具备大数据分析所需的技能和资格。本文讨论了这些发现及其意义。
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引用次数: 1
Deep Learning-Based Code Refactoring: A Review of Current Knowledge 基于深度学习的代码重构:当前知识综述
4区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-04-26 DOI: 10.1080/08874417.2023.2203088
Purnima Naik, Salomi Nelaballi, Venkata Sai Pusuluri, Dae-Kyoo Kim
This paper presents a systematic literature review of deep learning (DL)-based software refactoring, which involves restructuring and simplifying code without altering its external functionality. The study analyzed 17 primary works and found that CNN, RNN, MLP, and GNN are commonly used DL models for code refactoring, with MLP performing the best. However, current research efforts primarily focus on Java code, method-level refactoring, and single language refactoring with varying evaluation methods. The review also highlights the limitations and challenges of DL-based software refactoring and suggests future research directions.
本文对基于深度学习(DL)的软件重构进行了系统的文献综述,其中包括在不改变其外部功能的情况下重构和简化代码。研究分析了17个主要作品,发现CNN、RNN、MLP和GNN是代码重构中常用的深度学习模型,其中MLP表现最好。然而,目前的研究工作主要集中在Java代码、方法级重构和使用不同评估方法的单语言重构上。文章还强调了基于dl的软件重构的局限性和挑战,并提出了未来的研究方向。
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引用次数: 0
Conjoint Analysis of Blockchain Adoption Challenges in Government 政府采用区块链挑战的联合分析
IF 2.8 4区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-04-18 DOI: 10.1080/08874417.2023.2185552
S. Sharma, Yogesh K. Dwivedi, S. Misra, N. Rana
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引用次数: 1
Determinants of Software as a Service (SaaS) Adoption 软件即服务(SaaS)采用的决定因素
IF 2.8 4区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-04-14 DOI: 10.1080/08874417.2023.2199270
F. Shapouri, K. Ward, T. Setor
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引用次数: 0
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Journal of Computer Information Systems
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