人工智能与大数据:现代企业多部门场景下的本体论与交际视角

IF 2.3 Q3 REGIONAL & URBAN PLANNING Foresight Pub Date : 2022-06-28 DOI:10.1108/FS-10-2021-0216
M. Arora, Roshan Lal Sharma
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引用次数: 2

摘要

目的本文的目的是了解人工智能和大数据在当今世界中的重要性。除此之外,本文还试图探索定性和理论视角,以强调人工智能和大数据应用在世界各地企业多部门场景中的重要性。此外,本文还旨在确定基于人工智能的本体论交际视角的范围,同时强调它们在需要生存和维持以实现其战略目标的商业组织中的相关性。设计/方法论/方法本文试图通过解决以下研究问题来探索定性视角,以建立战略管理的方向,这些研究问题涉及评估与商业组织相关的人工智能中本体论交际视角的范围;探索大数据与人工智能相结合在现代企业中的好处;强调人工智能和大数据应用在当今世界多部门商业场景中的重要性。本文利用文献计量分析和NVivo软件进行情绪分析,试图了解人工智能和大数据在企业中结合时会发生什么。人工智能和大数据对现代企业有着巨大的影响。由于大数据包括各种各样的巨大信息,人工智能辅助的机器、工具和设备帮助现代企业快速、高效、有意义地处理这些信息。因此,商界领袖和企业家需要高度关注本体论和沟通视角,以应对各种挑战和问题,特别是在新冠肺炎大流行导致的近期危机的背景下。研究局限性/含义在人类活动的任何领域,人工智能和大数据都是不相关的。这篇论文的含义是将两者很好地结合起来,这样我们就可以找到解决困难和具有挑战性的多部门场景的答案,这些场景不仅涉及企业,还涉及整个生活。此外,基于人工智能的自动化工具,如自然语言处理和语音到文本,不仅在商业组织中,而且在人类活动的其他领域,也有助于在各个层面进行有意义的交流。社会含义本文具有分层的社会含义,因为它从概念上研究了我们如何战略性地将人工智能和大数据结合起来,以造福于与服务提供商、制造商、企业家、商业领袖、客户和消费者打交道的现代商业场景。所有利益相关者都有社会文化和背景,这就是本研究与社会相关的原因。原创性/价值本文是一篇原创研究,是针对当今世界具有挑战性的商业场景而提出的。本文强调了人工智能和大数据战略结合的重要性,因为它们对现代企业有着巨大的影响。本文得出的见解对全球的商业领袖和企业家都有启示,他们可以更多地关注人工智能与大数据相结合的本体论和沟通视角,以应对现代企业面临的各种挑战和问题,尤其是在最近。
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Artificial intelligence and big data: ontological and communicative perspectives in multi-sectoral scenarios of modern businesses
Purpose The purpose of this paper is to see how critical and vital artificial intelligence (AI) and big data are in today’s world. Besides this, this paper also seeks to explore qualitative and theoretical perspectives to underscore the importance of AI and big data applications in multi-sectoral scenarios of businesses across the world. Moreover, this paper also aims at working out the scope of ontological communicative perspectives based on AI alongside emphasizing their relevance in business organizations that need to survive and sustain with a view to achieve their strategic goals. Design/methodology/approach This paper attempts to explore the qualitative perspectives to build a direction for strategic management via addressing the following research questions concerned with assessing the scope of ontological communicative perspectives in AI relevant to business organizations; exploring benefits of big data combined with AI in modern businesses; and underscoring the importance of AI and big data applications in multi-sectoral scenarios of businesses in today’s world. Employing bibliometric analysis along with NVivo software to do sentiment analysis, this paper attempts to develop an understanding of what happens when AI and big data are combined in businesses. Findings AI and big data have tremendous bearing on modern businesses. Because big data comprises enormous information of diverse sorts, AI-assisted machines, tools and devices help modern businesses process it quickly, efficiently and meaningfully. Therefore, business leaders and entrepreneurs need to focus heavily on ontological and communicative perspectives to deal with diverse range of challenges and problems particularly in the context of recent crises caused by COVID-19 pandemic. Research limitations/implications There is hardly any arena of human activity wherein AI and big data are not relevant. The implication of this paper is that of combining both well so that we may find answers to the difficult and challenging multi-sectoral scenarios concerning not just businesses but life at large. Moreover, automated tools based on AI such as natural language processing and speech to text also facilitate meaningful communication at various levels not just in business organizations but other fields of human activities as well. Social implications This paper has layered social implications, as it conceptually works out as to how strategically we may combine AI and big data to benefit modern business scenarios dealing with service providers, manufacturers, entrepreneurs, business leaders, customers and consumers. All the stakeholders are socio-culturally and contextually rooted/situated, and that is how this study becomes socially relevant. Originality/value This paper is an original piece of research and has been envisioned in view of the challenging business scenarios across the world today. This paper underscores the importance of strategically combining AI and big data, as they have enormous bearing on modern businesses. The insights arrived at in this paper have implications for business leaders and entrepreneurs across the globe who could focus more on ontological and communicative perspectives of AI combined with Big Data to deal with diverse range of challenges and problems that modern businesses have been facing particularly in recent times.
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来源期刊
Foresight
Foresight REGIONAL & URBAN PLANNING-
CiteScore
5.10
自引率
5.00%
发文量
45
期刊介绍: ■Social, political and economic science ■Sustainable development ■Horizon scanning ■Scientific and Technological Change and its implications for society and policy ■Management of Uncertainty, Complexity and Risk ■Foresight methodology, tools and techniques
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