MANAGEMENT 4.0 Emerging Trends in Analytics and Digital Management National Conference on Management Perspectives (NCMP) -2023 (2024)

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Buzz marketing is a viral method used to maximize the word-of-mouth of a product. These discussions can occur online or offline. When done precisely, they can vastly increase social following, online traffic, and of course, sales and leads. This descriptive research examines whether buzz marketing influences compulsive online shopping— a survey of two hundred and five responses were collected by a convenience sampling technique using a previously established scale—model fitness analyses were performed using SEM. The result confirmed that advertisem*nt buzz, positive word of mouth, and digital buzz are not influencing compulsive online shopping. Positive word of mouth and the digital buzz had a moderation and mediation effect on compulsive online shopping. Finally, it concluded that buzz marketing triggers normal buying behavior, not stimulating abnormal or deviant acquisition behavior. The marketer can adopt new marketing strategies to capture the customer's and other influencers' attention to increase the marketing communication to an extent where talking about the product, brand, or service becomes pleasurable, attractive, and newsworthy.

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GREEN INNOVATION BUSINESS (GIB) AS A COMPREHENSIVE ENTREPRENEURSHIP MODEL FOR THE INTERNATIONALIZATION. THE CASE OF BIO-FOM IN THE URBAN AREA OF GUADALAJARA

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We try to raise the 9 smart cities in Asia. If at this time we have started to move towards the Industrial Revolution (IR) 5.0 and Society 5.0, then the Smart City concept has also developed and is now focused on human development and accommodating the values of the local community. So, it is understandable if there are cities that then build an image as "Islamic Smart City", "Buddhist Smart City", "Hindu Smart City" or others. Even though they may not label themselves with their beliefs, but values of the majority of their beliefs will color Smart City dominantly. When it comes to unlocking opportunities for inclusive growth and tackling climate change, the study finds that smart cities labeled with or without religious beliefs are equally concerned.

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ARTIFICIALLY INTELLIGENT INVESTORS

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Michael Neubert

The purpose of this study is to explore the perceptions of subject matter experts (SME) about the use of artificial intelligence for stock trading. AI is already used to analyze large and various amounts of data to support decision-making of future predictions for many organizations today. Looking ahead, AI has the potential to disrupt and be a game changer for the stock trading market. The theoretical foundation used will be the Efficient Market Hypothesis. This theory helps us conceptualize the market that AI is developed to predict. The research design was a multiple case study where we identify themes from the data collected from interviews of SME and case studies to gather a better understanding of this phenomena. The findings of this study revealed the following themes about the use of AI for stock trading 1) Efficiency, 2) Data processes, 3) Trust, 4) Other Limitations, and 5) Human Supportive. This concluded that AI is efficient and used as a supportive tool for stock trading. A limitation to this study lies in the sampling methodology. These results may be helpful to scholars by providing more insightful information regarding AI in stock trading and to practitioners by bridging the gap between theory and real-market applications.

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Sustainability of Small Enterprises in the Post Covid Period

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Dr. Abraham Varughese

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MANAGEMENT 4.0 Emerging Trends in Analytics and Digital Management National Conference on Management Perspectives (NCMP) -2023 (2024)

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