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==1 Title, abstract and keywords<!-- Your document should start with a concise and informative title. Titles are often used in information-retrieval systems. Avoid abbreviations and formulae where possible. Capitalize the first word of the title.
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== References ==
  
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Provide a maximum of 6 keywords, and avoiding general and plural terms and multiple concepts (avoid, for example, 'and', 'of'). Be sparing with abbreviations: only abbreviations firmly established in the field should be used. These keywords will be used for indexing purposes.
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Al-Sai, ZA, Abdullah, R. and Heikal Husin, M. (2020). Critical Success Factors for Big Data: A Systematic Literature Review. IEEE Access , Vol. 8.
  
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An abstract is required for every document; it should succinctly summarize the reason for the work, the main findings, and the conclusions of the study. Abstract is often presented separately from the article, so it must be able to stand alone. For this reason, references and hyperlinks should be avoided. If references are essential, then cite the author(s) and year(s). Also, non-standard or uncommon abbreviations should be avoided, but if essential they must be defined at their first mention in the abstract itself. -->==
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Ameen, N., Tarhini, A., Reppel, A., and Anand, A. (2021). Customer experiences in the age of artificial intelligence. Computers in Human Behaviour. Volume 114 (January).
  
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Boynton, AC, and Zmud, RW (1986). An Assessment of Critical Success Factors. Sloan Management Review , Vol. 25 (4).
  
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Canhoto, AI, and Clear, F. (2020). Artificial intelligence and machine learning as business tools: A framework for diagnosis value destruction potential. Business Horizons, Vol. 63 (2), 183 – 193.
  
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Cong, LW, Li, B., and Zhang, QT (2021). Internet of Things: Business Economics and Applications. Review of Business, Vol. 41 (1), 15-29.
  
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==2 The main text<!-- You can enter and format the text of this document by selecting the ‘Edit’ option in the menu at the top of this frame or next to the title of every section of the document. This will give access to the visual editor. Alternatively, you can edit the source of this document (Wiki markup format) by selecting the ‘Edit source’ option.
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Canhoto, AI, and Clear, F. (2020). Artificial intelligence and machine learning as business tools: A framework for diagnosis value destruction potential. Business Horizons , Vol. 63 (2), 183 – 193.
  
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Most of the documents in Scipedia are written in English (write your manuscript in American or British English, but not a mixture of these). Anyhow, specific publications in other languages can be published in Scipedia. In any case, the documents published in other languages must have an abstract written in English.
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Dal Mas, F., Massaro, M., Verde, JM and Cobianchi, L. (2020). Can the Blockchain Lead to New Sustainable Business Models? Journal of Business Models , Vol. 8 (2), 31-38.
  
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Deloitte (2020).  Thriving in the era of pervasive AI . Deloitte's State of AI in the Enterprise, 3rd Edition. Available at [https://www2.deloitte.com/cn/en/pages/about-deloitte/articles/state-of-ai-in-the-enterprise-3rd-edition.html https://www2.deloitte.com/cn/en/pages/about-deloitte/articles/state-of-ai-in-the-enterprise-3rd-edition.html]
  
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2.1 Subsections
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Fosso Wamba, S., Akter, S., Edwards, A., Chopin, G., and Gnanzou, D. (2015). How 'Big Data' Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study. International Journal of Production Economics , Vol. 165 (July), 234-246.
  
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Divide your article into clearly defined and numbered sections. Subsections should be numbered 1.1, 1.2, etc. and then 1.1.1, 1.1.2, ... Use this numbering also for internal cross-referencing: do not just refer to 'the text'. Any subsection may be given a brief heading. Capitalize the first word of the headings.
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Ghose, A. (2018). What Blockchain Could Mean for Marketing. Harvard Business Review .
  
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Haenlein, M. and Kaplan, A. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review , Vol. 61(4), 5-14.
  
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2.2 General guidelines
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Harvey, CR, Moorman, C., and Toledo, M. (2018). How Blockchain Can Help Marketers Build Better Relationships with Their Customers. Harvard Business Review .
  
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Hoy, MB (2018) Alexa, Siri, Cortana, and More: An Introduction to Voice Assistants. Medical Reference Services Quarterly , Vol. 37 (1), 81-88.
  
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Hu, M. (2020). Cambridge Analytica's black box. Big Data & Society, July-December, 1-6.  
  
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*  Symbols denoting vectors and matrices should be indicated in bold type. Scalar variable names should normally be expressed using italics.
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Hunt, E. (2016). Tay, Microsoft's AI chatbot, gets a crash course in racism from Twitter. The Guardian. Available at [https://www.theguardian.com/technology/2016/mar/24/tay-microsofts-ai-chatbot-gets-a-crash-course-in-racism-from-twitter https://www.theguardian.com/technology/2016/mar/24/tay-microsofts-ai-chatbot-gets-a-crash-course-in-racism-from-twitter]
  
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*  Use decimal points (not commas); use a space for thousands (10 000 and above).
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Jain, A. (2016). The 5V's of Big Data . Available at [https://www.ibm.com/blogs/watson-health/the-5-vs-of-big-data/ https://www.ibm.com/blogs/watson-health/the-5-vs-of-big-data/]
  
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*  Follow internationally accepted rules and conventions. In particular use the international system of units (SI). If other quantities are mentioned, give their equivalent in SI.
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Kaiser, I., and Stummer, C. (2020). How the Traditional Industrial Manufacturer Miele Established a New Smart Home Division. Research-Technology Management, V. 63 (4), 29-34.
  
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Kai-Uwe Brock, J; and Wangenheim, Fv (2019). Demystifying AI: What Digital Transformation Leaders Can Teach You About Realistic Artificial Intelligence. California Management Review , Vol. 61(4), 110-134.
  
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2.3 Tables, figures, lists and equations
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Li, F. and Whalley, J. (2002). Deconstruction of the telecommunications industry: from value chains to value networks. TelecommunicationsPolicy. V.26 (9–10), 451-472.
  
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Please insert tables as editable text and not as images. Tables should be placed next to the relevant text in the article. Number tables consecutively in accordance with their appearance in the text and place any table notes below the table body. Be sparing in the use of tables and ensure that the data presented in them do not duplicate results described elsewhere in the article.
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Madrigal Moreno, F., Gil Lafuente, J., Avila Carreon, F., and Madrigal Moreno, S. (2017). The Characterization of the Millennials and Their Buying Behavior. International Journal of Marketing Studies, Vol. 9 (5).  
  
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Graphics may be inserted directly in the document and positioned as they should appear in the final manuscript.
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Metta, G., et al. (2010). The iCub humanoid robot: An open-systems platform for research in cognitive development. Neural Networks , Vol. 23 (8–9 ), 1125-1134.
  
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Number the figures according to their sequence in the text. Ensure that each illustration has a caption. A caption should comprise a brief title. Keep text in the illustrations themselves to a minimum but explain all symbols and abbreviations used. Try to keep the resolution of the figures to a minimum of 300 dpi. If a finer resolution is required, the figure can be inserted as supplementary material
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OECD (2020). A Roadmap Toward A Common Framework For Measuring The Digital Economy . Report for the G20 Digital Economy Task Force SAUDI ARABIA, 2020. Available at [http://www.oecd.org/sti/roadmap-toward-a-common-framework-for-measuring-the-digital-economy.pdf http://www.oecd.org/sti/roadmap-toward-a-common-framework-for-measuring-the-digital-economy.pdf]
  
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For tabular summations that do not deserve to be presented as a table, lists are often used. Lists may be either numbered or bulleted. Below you see examples of both.
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Statistics (2020). In-depth: Artificial Intelligence 2020 . Statista Digital Market Outlook. November 2020.
  
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1. The first entry in this list
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Vakulenko, Y., Shams, P., Hellstrom, D. and Hjort, K. (2019). Service innovation in e-commerce last mile delivery: Mapping the e-customer journey. Journal of Business Research. V.101 (August), 461-468.
  
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Supplementary material can be inserted to support and enhance your article. This includes video material, animation sequences, background datasets, computational models, sound clips and more. In order to ensure that your material is directly usable, please provide the files with a preferred maximum size of 50 MB. Please supply a concise and descriptive caption for each file. -->==
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Revision as of 16:36, 10 May 2022

References

Al-Sai, ZA, Abdullah, R. and Heikal Husin, M. (2020). Critical Success Factors for Big Data: A Systematic Literature Review. IEEE Access , Vol. 8.

Ameen, N., Tarhini, A., Reppel, A., and Anand, A. (2021). Customer experiences in the age of artificial intelligence. Computers in Human Behaviour. Volume 114 (January).

Boynton, AC, and Zmud, RW (1986). An Assessment of Critical Success Factors. Sloan Management Review , Vol. 25 (4).

Canhoto, AI, and Clear, F. (2020). Artificial intelligence and machine learning as business tools: A framework for diagnosis value destruction potential. Business Horizons, Vol. 63 (2), 183 – 193.

Cong, LW, Li, B., and Zhang, QT (2021). Internet of Things: Business Economics and Applications. Review of Business, Vol. 41 (1), 15-29.

Canhoto, AI, and Clear, F. (2020). Artificial intelligence and machine learning as business tools: A framework for diagnosis value destruction potential. Business Horizons , Vol. 63 (2), 183 – 193.

Dal Mas, F., Massaro, M., Verde, JM and Cobianchi, L. (2020). Can the Blockchain Lead to New Sustainable Business Models? Journal of Business Models , Vol. 8 (2), 31-38.

Deloitte (2020). Thriving in the era of pervasive AI . Deloitte's State of AI in the Enterprise, 3rd Edition. Available at https://www2.deloitte.com/cn/en/pages/about-deloitte/articles/state-of-ai-in-the-enterprise-3rd-edition.html

Fosso Wamba, S., Akter, S., Edwards, A., Chopin, G., and Gnanzou, D. (2015). How 'Big Data' Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study. International Journal of Production Economics , Vol. 165 (July), 234-246.

Ghose, A. (2018). What Blockchain Could Mean for Marketing. Harvard Business Review .

Haenlein, M. and Kaplan, A. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review , Vol. 61(4), 5-14.

Harvey, CR, Moorman, C., and Toledo, M. (2018). How Blockchain Can Help Marketers Build Better Relationships with Their Customers. Harvard Business Review .

Hoy, MB (2018) Alexa, Siri, Cortana, and More: An Introduction to Voice Assistants. Medical Reference Services Quarterly , Vol. 37 (1), 81-88.

Hu, M. (2020). Cambridge Analytica's black box. Big Data & Society, July-December, 1-6.

Hunt, E. (2016). Tay, Microsoft's AI chatbot, gets a crash course in racism from Twitter. The Guardian. Available at https://www.theguardian.com/technology/2016/mar/24/tay-microsofts-ai-chatbot-gets-a-crash-course-in-racism-from-twitter

Jain, A. (2016). The 5V's of Big Data . Available at https://www.ibm.com/blogs/watson-health/the-5-vs-of-big-data/

Kaiser, I., and Stummer, C. (2020). How the Traditional Industrial Manufacturer Miele Established a New Smart Home Division. Research-Technology Management, V. 63 (4), 29-34.

Kai-Uwe Brock, J; and Wangenheim, Fv (2019). Demystifying AI: What Digital Transformation Leaders Can Teach You About Realistic Artificial Intelligence. California Management Review , Vol. 61(4), 110-134.

Li, F. and Whalley, J. (2002). Deconstruction of the telecommunications industry: from value chains to value networks. TelecommunicationsPolicy. V.26 (9–10), 451-472.

Madrigal Moreno, F., Gil Lafuente, J., Avila Carreon, F., and Madrigal Moreno, S. (2017). The Characterization of the Millennials and Their Buying Behavior. International Journal of Marketing Studies, Vol. 9 (5).

Metta, G., et al. (2010). The iCub humanoid robot: An open-systems platform for research in cognitive development. Neural Networks , Vol. 23 (8–9 ), 1125-1134.

OECD (2020). A Roadmap Toward A Common Framework For Measuring The Digital Economy . Report for the G20 Digital Economy Task Force SAUDI ARABIA, 2020. Available at http://www.oecd.org/sti/roadmap-toward-a-common-framework-for-measuring-the-digital-economy.pdf

Statistics (2020). In-depth: Artificial Intelligence 2020 . Statista Digital Market Outlook. November 2020.

Vakulenko, Y., Shams, P., Hellstrom, D. and Hjort, K. (2019). Service innovation in e-commerce last mile delivery: Mapping the e-customer journey. Journal of Business Research. V.101 (August), 461-468.

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Volume Chapter 2 – Artificial Intelligence & Blockchain, 2022
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