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Novel R&D Capabilities as a Response to ESG Risks-Lessons From Amazon’s Fusion of Diverse Knowledge 以创新研发能力应对环境、社会和治理风险--亚马逊融合多元化知识的启示
Pub Date : 2023-11-29 DOI: 10.5121/ijmit.2023.15401
Y. Tou, Chihiro Watanabe
Environmental, Social, and Governance (ESG) management is essential for transforming corporate financial performance-oriented business strategies into Finance (F) + ESG optimization strategies to achieve the Sustainable Development Goals (SDGs). In this trend, the rise of ESG risks has divided firms into two categories. Former incorporates a growthmindset that creates a passion for learning, and urges it to improve itself by endeavoring Research and development (R&D) -driven challenges, while the other category, characterized by risk aversion, avoids challenging highly uncertain R&D activities and seeks more manageable endeavors. This duality underscores the complexity of corporate R&D strategies in addressing ESG risks and necessitates the development of novel R&D capabilities for corporate R&D transformation strategies towards F + ESG optimization. Building on this premise, this paper conducts an empirical analysis, utilizing reliable firms data on ESG risk and brand value, with a focus on 100 global R&D leader firms. It analyzes R&D and actions for ESG risk mitigation, and assesses the development of new functions that fulfill F + ESG optimization through R&D. The analysis also highlights the significance of network externality effects, with a specific focus on Amazon, a leading R&D company, providing insights into the direction for transforming R&D strategies towards F + ESG optimization. The dynamics of stakeholder engagement in F + ESG optimization are indicated with the example of amazon's activities. Through the analysis, it became evident that Amazon's capacity encompassing growth and scalability, specifically its ability to grow and expand, is accelerating high-level research and development by gaining the trust of stakeholders in the "synergy through R&D-driven ESG risk mitigation." Finally, as examples of these initiatives, the paper discussed the Climate Pledge led by Amazon and the transformation of Japan's management system.
环境、社会和治理(ESG)管理对于将以财务业绩为导向的企业经营战略转变为财务(F)+ ESG 优化战略以实现可持续发展目标(SDGs)至关重要。在这一趋势下,ESG 风险的上升将企业分为两类。一类企业具有成长思维,热衷于学习,并通过研发(R&D)驱动的挑战来提升自己;另一类企业则以规避风险为特征,避免挑战高度不确定的研发活动,寻求更易于管理的努力。这种二元性凸显了企业研发战略在应对环境、社会和治理风险方面的复杂性,因此有必要开发新型研发能力,以实现企业研发战略向 F + ESG 优化的转型。在此前提下,本文利用可靠的企业 ESG 风险和品牌价值数据进行了实证分析,重点关注 100 家全球研发领先企业。本文分析了为降低环境、社会和公司治理风险而采取的研发和行动,并评估了通过研发实现环境、社会和公司治理优化的新功能的开发情况。分析还强调了网络外部效应的重要性,并特别关注了领先的研发公司亚马逊,为研发战略向 F + ESG 优化转型提供了启示。以亚马逊的活动为例,说明了利益相关者参与 F + ESG 优化的动力。通过分析发现,亚马逊的能力包括增长和可扩展性,特别是其增长和扩张的能力,通过赢得利益相关者对 "通过研发驱动的 ESG 风险缓解实现协同效应 "的信任,加速了高层次的研发。最后,作为这些举措的范例,本文讨论了亚马逊领导的气候承诺和日本管理系统的转型。
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引用次数: 0
DESIGNING A FRAMEWORK FOR ENHANCING THE ONLINE KNOWLEDGE-SHARING BEHAVIOR OF ACADEMIC STAFF 设计一个促进学术人员在线知识共享行为的框架
Pub Date : 2023-05-27 DOI: 10.5121/ijmit.2023.15201
Gebremedhin Gebreyohans, David T. Croasdell, M. Meshesha
The main objective of this paper is to identify the factors that influence academic staff's digital knowledgesharing behaviors in Ethiopian higher education. A structural equation model was used to validate the research framework using survey data from 210 respondents. The collected data has been analyzed using Smart PLS software. The results of the study show that trust, self-motivation, and altruism are positively related to attitude. Contrary to our expectations, knowledge technology negatively affects attitude. However, reward systems and empowerment by leaders are significantly associated with knowledgesharing intentions.Knowledge-sharing intention, in turn, was significantly related to digital knowledgesharing behavior. The contributions of this study are twofold. The framework may serve as a roadmap for future researchers and managers considering their strategy to enhance digital knowledge sharing in HEI. The findings will benefit academic staff and university administrations.The study will also help academic staff enhance their knowledge-sharing practices.
本文的主要目的是确定影响埃塞俄比亚高等教育学术人员数字知识共享行为的因素。利用210名受访者的调查数据,采用结构方程模型来验证研究框架。使用Smart PLS软件对采集的数据进行分析。研究结果表明,信任、自我激励和利他主义与态度呈正相关。与我们的预期相反,知识技术对态度产生了负面影响。然而,奖励制度和领导者的授权与知识共享意图显著相关。知识共享意愿与数字知识共享行为显著相关。这项研究的贡献是双重的。该框架可以作为未来研究人员和管理人员考虑其加强高等教育数字化知识共享战略的路线图。研究结果将有利于学术人员和大学管理部门。这项研究还将帮助学术人员加强知识共享实践。
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引用次数: 0
EFFECTIVELY CONNECT ACQUIRED TECHNOLOGY TO INNOVATION OVER A LONG PERIOD 长期有效地将获得的技术与创新联系起来
Pub Date : 2023-05-27 DOI: 10.5121/ijmit.2023.15203
A. Nagamatsu, Y. Tou, C. Watanabe
IT (Information and Communication Technology) companies are facing the dilemma of decreasing productivity despite increasing research and development efforts. M&A (Merger and Acquisition) is being considered as a breakthrough solution. From existing research, it has been pointed out that M&A leads to the emergence of new innovations. Purpose of this study was to discuss the efficient ways of acquisition and to resolve the dilemma of productivity decline by clarifying how the technology obtained through M&A leads to the creation of new innovations. Hypothesis 1 was that the technology acquired through M&A is utilized for innovation creation, Hypothesis 2 was that the acquired technology is utilized over a long period of time, and Hypothesis 3 was that a long-term utilization has a positive impact on corporate performance. The results, using sports prosthetics as a case study and using patents as a proxy variable, confirmed all the hypotheses set. We have revealed that long-term utilization of technology obtained through M&A is effective for creating new innovations.
IT(信息通信技术)企业虽然加大了研究开发力度,但却面临着生产率下降的困境。并购(M&A)被认为是突破性的解决方案。从已有的研究来看,已经指出并购会导致新的创新的出现。本研究的目的是探讨并购的有效途径,并通过阐明通过并购获得的技术如何导致新的创新创造来解决生产率下降的困境。假设1是通过并购获得的技术被用于创新创造,假设2是收购的技术被长期利用,假设3是长期利用对公司绩效有积极影响。以运动义肢为案例研究,以专利为代理变量,结果证实了所有假设集。我们发现,长期利用通过并购获得的技术对于创造新的创新是有效的。
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引用次数: 0
TRANSFORMING SERVICE OPERATIONS WITH AI: A CASE FOR BUSINESS VALUE 用人工智能转换服务操作:实现业务价值的案例
Pub Date : 2023-05-27 DOI: 10.5121/ijmit.2023.15202
Harsha Vijayakumar
Artificial Intelligence (AI) has rapidly become a critical technology for businesses seeking to improve efficiency and profitability. One area where AI is proving particularly impactful is in service operations management, where it is used to create AI-powered service operations (AIServiceOps) that deliver highvalue services to customers. AIServiceOps involve the use of AI to automate and optimize various business processes, such as customer service, sales, marketing, and supply chain management. The rapid development of Artificial Intelligence has prompted many changes in the field of Information Technology (IT) Service Operations. IT Service Operations are driven by AI, i.e., AIServiceOps. AI has empowered new vitality and addressed many challenges in IT Service Operations. However, there is a literature gap on the Business Value Impact of Artificial intelligence (AI) Powered IT Service Operations. It can help IT build optimized business resilience by creating value in complex and ever-changing environments as product organizations move faster than IT can handle. So, this research paper examines how AIServiceOps creates business value and sustainability, basically how AIServiceOps makes the IT staff liberation from a low-level, repetitive workout and traditional IT practices for a continuously optimized process. One of the research objectives is to compare Traditional IT Service Operations with AIServiceOPs. This paper provides the basis for how enterprises can evaluate AIServiceOps and consider it a digital transformation tool. The paper presents a case study of a company that implemented AI-powered service operations (AIServiceOps) and analyzes the resulting business outcomes. The study shows that AIServiceOps can significantly improve service delivery, reduce response times, and increase customer satisfaction. Furthermore, it demonstrates how AIServiceOps can deliver substantial cost savings, such as reducing labor costs and minimizing downtime.
人工智能(AI)已迅速成为企业寻求提高效率和盈利能力的关键技术。人工智能被证明特别有影响力的一个领域是服务运营管理,它被用来创建人工智能驱动的服务运营(AIServiceOps),为客户提供高价值的服务。AIServiceOps涉及使用AI来自动化和优化各种业务流程,例如客户服务、销售、营销和供应链管理。人工智能的快速发展促使信息技术(IT)服务运营领域发生了许多变化。IT服务运营由AI驱动,即AIServiceOps。人工智能为IT服务运营注入了新的活力,解决了诸多挑战。然而,关于人工智能(AI)驱动的IT服务运营的商业价值影响的文献差距。它可以帮助It在复杂和不断变化的环境中创造价值,从而构建优化的业务弹性,因为产品组织的移动速度比It所能处理的要快。因此,本研究论文考察了AIServiceOps如何创造业务价值和可持续性,基本上是AIServiceOps如何使IT人员从低级重复的工作和传统的IT实践中解放出来,从而实现持续优化的流程。研究的目标之一是比较传统的IT服务运营与AIServiceOPs。本文为企业如何评估AIServiceOps并将其视为数字化转型工具提供了依据。本文介绍了一家实施人工智能服务运营(AIServiceOps)的公司的案例研究,并分析了由此产生的业务成果。研究表明,AIServiceOps可以显著改善服务交付,缩短响应时间,提高客户满意度。此外,它还演示了AIServiceOps如何节省大量成本,例如减少人工成本和最大限度地减少停机时间。
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引用次数: 0
Inclusive Entrepreneurship in Handling Competing Institutional Logics for DHIS2 Adoption in Ethiopian Public Health Care Context 在埃塞俄比亚公共卫生保健环境中处理DHIS2采用的竞争性制度逻辑的包容性企业家精神
Pub Date : 2022-11-30 DOI: 10.5121/ijmit.2022.14401
Birkinesh Woldeyohannes, M. Gaynor, Temtim Assefa
Information System (IS) research advocates employing collaborative and loose coupling strategies to address contradictory issues to address diversified actors’ interests than the prescriptive and unilateral Information Technology (IT) governance mechanisms’, yet it is rarely depicting how managers employ these strategies in Health Information System (HIS) implementation, particularly in a resource-constrained setting where IS implementation activities have highly relied on multiple international organizations resources. This study explored how managers in resource-constrained settings employ collaborative IT governance mechanisms in the case of District Health Information System 2 (DHIS2) adoption with an interpretative case study approach and the institutional logic concept. The institutional logic concept was used to identify the major actors’ logics underpinning the DHIS2 adoption. The study depicted the importance of high-level officials' distance from the dominant systemic logic to consider new alternative, and to employ inclusive IT governance mechanisms which separated resource from the system that facilitated stakeholders’ collaboration in DHIS2 adoption based on their capacity and interest.
信息系统(IS)研究提倡采用协作和松散耦合策略来解决矛盾问题,以解决多样化参与者的利益,而不是规范性和单边的信息技术(IT)治理机制,但很少描述管理者如何在卫生信息系统(HIS)实施中使用这些策略。特别是在资源有限的情况下,IS的实施活动高度依赖多个国际组织的资源。本研究运用解释性案例研究方法和制度逻辑概念,探讨了资源受限环境下的管理者如何在采用地区卫生信息系统2 (DHIS2)的情况下采用协作式IT治理机制。制度逻辑概念用于确定支持DHIS2采用的主要参与者的逻辑。该研究描述了高层官员与主要系统逻辑保持距离的重要性,以考虑新的替代方案,并采用包容性IT治理机制,将资源从系统中分离出来,从而促进利益相关者根据其能力和利益在采用DHIS2时进行合作。
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引用次数: 0
Deep Learning Approach for Event Monitoring System 事件监控系统的深度学习方法
Pub Date : 2022-08-31 DOI: 10.5121/ijmit.2022.14302
Kummari Vikas, Thipparthi Rajabrahmam, Ponnam Venu, S. Hariharan
With an increasing number of extreme events and complexity, more alarms are being used to monitor control rooms. Operators in the control rooms need to monitor and analyze these alarms to take suitable actions to ensure the system’s stability and security. Security is the biggest concern in the modern world. It is important to have a rigid surveillance that should guarantee protection from any sought of hazard. Considering security, Closed Circuit TV (CCTV) cameras are being utilized for reconnaissance, but these CCTV cameras require a person for supervision. As a human being, there can be a possibility to be tired off in supervision at any point of time. So, we need a system to detect automatically. Thus, we came up with a solution using YOLO V5. We have taken a data set and used robo-flow framework to enhance the existing images into numerous variations where it will create a copy of grey scale image, a copy of its rotation and a copy of its blurred version which will be used to get an enlarged data set. This work mainly focuses on providing a secure environment using CCTV live footage as a source to detect the weapons. Using YOLO algorithm, it divides an image from the video into grid system and each grid detects an object within itself.
随着极端事件数量和复杂性的增加,越来越多的警报被用于监控控制室。控制室的操作人员需要对这些告警进行监控和分析,以便采取适当的措施,以确保系统的稳定和安全。安全是当今世界最大的问题。重要的是要有严格的监督,以确保免受任何危险的侵害。考虑到安全性,目前正在使用闭路电视(CCTV)摄像机进行监视,但这些摄像机需要一个人监督。作为一个人,在任何时候都有可能在监督中感到疲惫。所以,我们需要一个系统来自动检测。因此,我们提出了使用YOLO V5的解决方案。我们取了一个数据集,并使用机器人流框架将现有图像增强为许多变体,其中它将创建一个灰度图像的副本,一个旋转图像的副本和一个模糊版本的副本,这将用于获得扩大的数据集。这项工作主要集中在提供一个安全的环境,使用闭路电视实况录像作为来源,以发现武器。该算法采用YOLO算法,将视频图像划分为网格系统,每个网格检测其内部的目标。
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引用次数: 0
Multimodal Course Design and Implementation using LEML and LMS for Instructional Alignment 使用LEML和LMS进行教学一致性的多模态课程设计与实施
Pub Date : 2022-08-31 DOI: 10.5121/ijmit.2022.14301
Mathieu K. Kourouma, Ratana Warren, Lynette Jackson, Deidra S. Atkins-Ball, Raven Dora
Traditionally, teaching has been centered around classroom delivery. However, the onslaught of the COVID-19 pandemic has cultivated usage of technology, teaching, and learning methodologies for course delivery. We investigate and describe different modes of course delivery that maintain the integrity of teaching and learning. This paper answers to the research questions: 1) What course delivery method our academic institutions use and why? 2) How can instructors validate the guidelines of the institutions? 3) How courses should be taught to provide student learning outcomes? Using the Learning Environment Modeling Language (LEML), we investigate the design and implementation of courses for delivery in the following environments: face-to-face, online synchronous, asynchronous, hybrid, and hyflex. A good course design and implementation are key components of instructional alignment. Furthermore, we demonstrate how to design, implement, and deliver courses in synchronous, asynchronous, and hybrid modes and describe our proposed enhancements to LEML.
传统上,教学以课堂教学为中心。然而,2019冠状病毒病大流行的冲击促进了对技术、教学和学习方法的使用。我们调查和描述了不同的课程交付模式,以保持教与学的完整性。本文回答了研究问题:1)我们的学术机构采用什么样的课程交付方式,为什么?2)教师如何验证机构的指导方针?3)如何教授课程以提供学生的学习成果?使用学习环境建模语言(LEML),我们研究了在以下环境中交付的课程的设计和实现:面对面,在线同步,异步,混合和hyflex。良好的课程设计和实施是教学一致性的关键组成部分。此外,我们还演示了如何以同步、异步和混合模式设计、实现和交付课程,并描述了我们对LEML提出的增强。
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引用次数: 0
Network Media Attention and Green Technology Innovation 网络媒体关注与绿色科技创新
Pub Date : 2022-02-28 DOI: 10.5121/ijmit.2022.14102
Long Lingxiao, Fan Yipeng
This paper will provide a novel empirical study for the relationship between network media attention and green technology innovation and examine how network media attention can ease financing constraints. It collected data from listed companies in China's heavy pollution industry and performed rigorous regression analysis, in order to innovatively explore the environmental governance functions of the media. It found that network media attention significantly promotes green technology innovation. By analyzing the inner mechanism further, it found that network media attention can promote green innovation by easing financing constraints. Besides, network media attention has a significant positive impact on green invention patents while not affecting green utility model patents.
本文将对网络媒体关注与绿色技术创新之间的关系进行新颖的实证研究,并考察网络媒体关注如何缓解融资约束。收集中国重污染行业上市公司的数据,并进行严格的回归分析,创新性地探索媒体的环境治理功能。研究发现,网络媒体关注度对绿色技术创新具有显著的促进作用。通过进一步分析内部机制,发现网络媒体关注可以通过缓解融资约束来促进绿色创新。网络媒体关注度对绿色发明专利有显著正向影响,对绿色实用新型专利无显著正向影响。
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引用次数: 0
A Review of Stock Trend Prediction with Combination of Effective Multi Technical Indicator Strategy 结合有效多技术指标策略的股票走势预测研究综述
Pub Date : 2022-02-28 DOI: 10.5121/ijmit.2022.14101
Liaw Geok Pheng, T. C. Chuan, Mac Foong, Norzihani Binti Yusof, Dalbina Kaur A/P Jagjeet Singh
It is important for investors to understand stock trends and market conditions before trading stocks. Both these capabilities are very important for an investor in order to obtain maximized profit and minimized losses. Without this capability, investors will suffer losses due to their ignorance regarding stock trends and market conditions. Technical analysis helps to understand stock prices behavior with regards to past trends, the signals given by indicators and the major turning points of the market price. This paper reviews the stock trend predictions with a combination of the effective multi technical indicator strategy to increase investment performance by taking into account the global performance and the proposed combination of effective multi technical indicator strategy model.
对投资者来说,在交易股票之前了解股票趋势和市场状况是很重要的。为了获得最大的利润和最小的损失,这两种能力对投资者来说都是非常重要的。如果没有这种能力,投资者就会因为对股票走势和市场状况的无知而蒙受损失。技术分析有助于理解股票价格与过去趋势、指标给出的信号和市场价格的主要转折点有关的行为。本文回顾了结合有效多技术指标的股票趋势预测策略提高投资绩效的研究,并提出了考虑全局表现的组合有效多技术指标策略模型。
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引用次数: 0
Engineering Life Cycle Enables Penetration Testing and Cyber Operations 工程生命周期支持渗透测试和网络操作
Pub Date : 2021-11-30 DOI: 10.5121/ijmit.2021.13403
Paul G. Cheney, Ian R. McAndrew
This paper discusses the strengths and weaknesses of proper engineering and life cycle management on higher level cyber security operations. Rushing innovation and increasing profits undermines the foundations need to operate and create secure stability in IT based companies. This research argues how it must be considered and how effective engineering processes greatly add to security even post implementation.
本文讨论了高层次网络安全操作中适当的工程和生命周期管理的优缺点。匆忙的创新和不断增长的利润破坏了IT公司运营和创造安全稳定的基础。本研究讨论了必须如何考虑它,以及有效的工程流程如何在实施后极大地增加安全性。
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引用次数: 0
期刊
International Journal of Managing Information Technology
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