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《International Journal of Information Management》2016,36(5):793-798
This case study illustrates the issues that arise when a separate “maverick” business unit focusing on developing a new and disruptive innovation is spun off from the parent company. Companies in the high technology manufacturing and development sector have to continually innovate in order to survive and grow in increasingly turbulent and competitive markets. It is common practice for the parent company to spin off separate business units that can incubate and capitalise on the development of new technological innovations in order to grow and create new markets. The case analysis underlines the problems that arise when ICT systems and operational processes are not strategically aligned and imposed by the parent company. It also demonstrates how innovative business units can harness their unique talents and apply them to solving operational problems. By developing a new bespoke system aligned with the maverick unit’s emergent processes, the maverick business unit was pulled back from the brink of disaster to a successful and profitable business unit. 相似文献
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概述了商业智能的涵义及实现过程,在分析集团企业的商业智能需求及模式的基础上,以中石油某集团公司为例,提出了一个面向集团企业的具体的完整的商业智能解决方案. 相似文献
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The amount of heterogeneous data that is available to organizations nowadays has made information management a seriously complicated task, yet crucial since this data can be a valuable asset for business intelligence. Ontologies can act as a semantically rich knowledge base in systems that specialize in information management. The present work investigates the potential of ontologies in supporting the information lifecycle within a corporate environment for business intelligence. The paper demonstrates the use of Heraclitus II, a framework that employs ontology management and evolution in the context of information management systems. The capabilities of the framework in facilitating information management and business intelligence are evaluated through a real-life case study from the life sciences industry. 相似文献
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财务信息是竞争情报的重要信息源之一。财务信息的情报化过程可以分为信息获取、加工整理、解读分析和情报输出4个阶段。通过案例分析,认识到利用财务信息做情报有很大局限性。竞争情报过程实际上是一个学习的过程。这一过程中数据库和软件工具能提高工作效率,但是不能代替人进行分析,只有人才是知识和智慧的载体。 相似文献
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企业高层管理团队成员如何通过更好地协作来促进快速高效决策,对整个企业的发展来说至关重要。本研究通过引入国际新兴的建导理论,采用"设计科学研究(Design Science Research)"这一新兴研究方法,针对企业高层管理团队设计了具体的建导式协作决策流程。通过选取国内的一个IT企业,综合使用实验案例和深度访谈法对该决策流程进行验证,从而得出相关结论以及影响因素之间的关联关系。访谈的数据分析结果显示,本文所设计的决策流程能够有效地帮助企业高管团队做出决策,从而提高团队生产力,促进团队达成共识,并起到促进预测的作用。 相似文献
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[目的/意义]产品情报的有效获取能够帮助企业及时掌握市场动态及竞争态势,并有利于提升产品竞争力。对产品情报及其知识需求呈现跨领域、跨行业、多主体的综合性及深度挖掘商业价值的迫切性。[方法/过程]构建细粒度的产品情报知识元模型,通过基于证据理论的多属性融合过程,实现产品情报知识元属性集与关系集描述空间的扩展以及知识元属性关系网络的生成。[结果/结论]实例研究从业务和竞争力两个视角,实现产品情报知识元属性集的融合与深加工,为产品情报的隐性关联知识发现提供相对完备的知识基础。证明了基于证据理论的多属性融合方法对产品情报知识元融合的可行性和有效性。 相似文献
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Technology advancements in cloud computing, big data systems, No-SQL database, cognitive systems, deep learning, and other artificial intelligence techniques make the integration of traditional ERP transaction data and big data streaming from various social media platforms and Internet of Things (IOTs) into a unified analytics system not only feasible but also inevitable. Two steps are prominent for this integration. The first, coined as forming the big-data ERP, is the integration of traditional ERP transaction data and the big data and the second is to integrate the big-data ERP with business analytics (BA). As ERP implementers and BA users are facing various challenges, managers responsible for this big-data ERP-BA integration are also seriously challenged. To help them deal with these challenges, we develop the SIST model (including Strategic alignment, Intellectual and Social capital integration, and Technology integration) and propose that this integration is an evolving portfolio with various maturity levels for different business functions, likely leading to sustainable competitive advantages. 相似文献
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企业竞争情报工作的业绩评价 总被引：2，自引：0，他引：2
竞争情报工作属于一种无形的知识与智力资产,服务于决策部门,不产生直接的经济效益,因此该工作的顺利执行离不开业绩评价。本文将平衡计分卡的业绩评价方法引入竞争情报工作,分别从财务、客户、技术、业务流程、职员5个层面探讨了竞争情报工作的业绩评价指标,并讨论了该方法与企业竞争战略的关系。 相似文献
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This case study paper presents four mini-case studies which explore IT service management issues within IT departments. It suggests that there is a shift in focus in IT away from the technical artefacts towards customer directed services. The case studies concern a hospital, a provider of marine charts, a logistics company and the batch operations of a bank. A range of issues are discussed including the provision of customer support, the acquisition of software and services, relationships with suppliers and the development of service strategy. The mini-case study is presented as a vehicle for identifying research issues and for teaching IT service management concepts in short tutorial sessions. 相似文献
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Vesna Bosilj Vukšić Mirjana Pejić Bach Aleš Popovič 《International Journal of Information Management》2013
The case(s) demonstrates the importance of business process management (BPM) and business intelligence systems (BIS) in achieving better firm performance. It has been well documented in the literature that research on the effectively usage and combination of knowledge from BPM and BIS in turbulent service environments is limited. In response, we conduct an exploratory comparative case study of four firms in banking and telecommunication industries that have implemented BPM initiative and BIS solution. Our results firstly highlight that actual results of applying BPM and BIS differ greatly from the results that were originally planned. Secondly, we find that BIS initiatives are usually driven by improving marketing and sales, while BPM initiatives are driven by improving business processes. Thirdly, we identify that there is a lack of strong commitment to using both systems for supporting performance management. 相似文献
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人工智能在深刻影响人类社会生产生活方式的同时,也引发诸多伦理困境与挑战,建立新的科技伦理规范以推动人工智能更好服务人类,成为全社会共同关注的主题。本文从科技伦理的视角,围绕机器人、算法、大数据、无人驾驶等人工智能领域所出现的伦理主体、责任分担、技术安全、歧视与公平性、隐私与数据保护等问题,以及人工智能技术的伦理治理,对国内外相关研究成果进行回顾分析,并提出未来需要在中国情境下伦理原则与治理体系的建立、人工智能伦理研究的跨学科合作、理论分析与实践案例的融合、多元主体伦理角色分工与协作等方面进行进一步研究。 相似文献
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《Information processing & management》2022,59(1):102736
Business intelligence (BI) incorporates business research, data mining, data visualization, data tools,infrastructure, and best practices to help businesses make more data-driven choices.Business intelligence's challenging characteristics include data breaches, difficulty in analyzing different data sources, and poor data quality is consideredessential factors. In this paper, IoT-based Efficient Data Visualization Framework (IoT- EDVF) has been proposed to strengthen leaks' risk, analyze multiple data sources, and data quality management for business intelligence in corporate finance.Corporate analytics management is introduced to enhance the data analysis system's risk, and the complexity of different sources can allow accessing Business Intelligence. Financial risk analysis is implemented to improve data quality management initiative helps use main metrics of success, which are essential to the individual needs and objectives. The statistical outcomes of the simulation analysis show the increasedperformance with a lower delay response of 5ms and improved revenue analysis with the improvement of 29.42% over existing models proving the proposed framework's reliability. 相似文献
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如何实现可持续商业模式创新一直是理论和实践的双重难题，企业社会责任嵌入商业模式创新被认为是一条可行路径。但现有研究对“企业社会责任是如何嵌入以及怎样影响商业模式创新的”等问题仍然知之甚少。本研究通过对万达集团文旅业务的纵向案例分析，揭示了企业社会责任嵌入商业模式创新的机理。首先，企业社会责任嵌入是一个“从边缘议题到核心议题、从传统慈善观到创造共享价值理念”的过程；其次，本文揭示了企业社会责任嵌入、企业生存危机和商业模式创新之间的复杂机理。商业模式创新伊始并不必然需要企业社会责任介入，但会激发企业社会责任萌芽，为企业社会责任嵌入提供必要前提。企业生存危机是企业社会责任嵌入商业模式创新的触发器；最后，本文回答了企业社会责任嵌入对商业模式创新的影响。企业社会责任嵌入提高了商业模式的稳健性，是企业在企业生存危机下重塑商业模式的重要途径。研究发现解释了企业社会责任嵌入的内涵，揭示了企业社会责任嵌入商业模式创新的过程黑箱，回答了企业社会责任与商业模式创新相互循环促进的复杂嵌入机理，为相关研究议题提供了结构性理论假设，有助于更多企业通过企业社会责任嵌入实现可持续商业模式创新。 相似文献
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Zeynab Soltani Batool Zareie Farnaz Sharifi Milani Nima Jafari Navimipour 《The Journal of High Technology Management Research》2018,29(2):237-246
Customer Relationship Management (CRM) is a very important growing business practice in today's environment. It is used for managing the interaction between a company and its future and current customers. CRM approach's task is analyzing data about the history of customers with a company. It focuses on a way to retain customers, therefore it helps the growth of sales. This leads to improvement of company's business relationship with customers. Current study's goal is to determine how technology, organizational capability, customer orientation, and customer knowledge management influence CRM success. We try to see that how the performance of an organization is affected by the achievement of CRM. For testing the hypotheses, Partial Least Squares Structural Equation Modeling (PLS-SEM) was adopted. Results have indicated that the success of CRM is highly influenced through “information technology use”, also “customer orientation”, “organizational capability”, and “customer knowledge management” are related to CRM success. Finally, along with the future research avenues and limitations, study implications and findings are discussed. 相似文献
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《International Journal of Information Management》2016,36(5):700-710
Agile methodologies were introduced in 2001. Since this time, practitioners have applied Agile methodologies to many delivery disciplines. This article explores the application of Agile methodologies and principles to business intelligence delivery and how Agile has changed with the evolution of business intelligence. Business intelligence has evolved because the amount of data generated through the internet and smart devices has grown exponentially altering how organizations and individuals use information. The practice of business intelligence delivery with an Agile methodology has matured; however, business intelligence has evolved altering the use of Agile principles and practices. The Big Data phenomenon, the volume, variety, and velocity of data, has impacted business intelligence and the use of information. New trends such as fast analytics and data science have emerged as part of business intelligence. This paper addresses how Agile principles and practices have evolved with business intelligence, as well as its challenges and future directions. 相似文献
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The COVID-19 pandemic has forced many organisations to undergo significant transformation, rethinking key elements of their business processes and use of technology to maintain operations whilst adhering to a changing landscape of guidelines and new procedures. This study offers a collective insight to many of the key issues and underlying complexities affecting organisations and society from COVID-19, through an information systems and technological perspective. The views of 12 invited subject experts are collated and analysed where each articulate their individual perspectives relating to: online learning, digital strategy, artificial intelligence, information management, social interaction, cyber security, big data, blockchain, privacy, mobile technology and strategy through the lens of the current crisis and impact on these specific areas. The expert perspectives offer timely insight to the range of topics, identifying key issues and recommendations for theory and practice. 相似文献
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This paper reviews the application of computer-based information systems for manufacturing, which has found a lack of strategic orientation. Critical factors for a strategic-oriented information system, i.e. external information scanning, data refining and information reporting, are discussed. A strategic-oriented system model that incorporates information scanning-refining-reporting into manufacturing automation and control systems is proposed. A case study of a corporate strategic information processing system in a UK company is explored. Limitations of the study and suggestions for future research are made. 相似文献