IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i7p2862-d341241.html
   My bibliography  Save this article

Big Data Manifestation in Municipal Waste Management and Cryptocurrency Sectors: Positive and Negative Implementation Factors

Author

Listed:
  • Tadas Limba

    (Faculty of Economics and Business, Mykolas Romeris University, Ateities st. 20, LT-08303 Vilnius, Lithuania)

  • Andrejus Novikovas

    (Institute of Public Law, Mykolas Romeris University, Ateities st. 20, LT-08303 Vilnius, Lithuania)

  • Andrius Stankevičius

    (Institute of Public Law, Mykolas Romeris University, Ateities st. 20, LT-08303 Vilnius, Lithuania)

  • Antanas Andrulevičius

    (Faculty of Economics and Business, Mykolas Romeris University, Ateities st. 20, LT-08303 Vilnius, Lithuania)

  • Manuela Tvaronavičienė

    (Department of Business Technologies and Entrepreneurship, Vilnius Gediminas Technical University, Saulėtekio al. 11, 10223 Vilnius, Lithuania)

Abstract

Two mainstream topics have been widely discussed over the past few years: ways to reduce the human impact on nature and the way that the industrial revolution 4.0 changes industries. The aim of this research topic is to analyse the positive and negative factors of big data implementation in the sector of cryptocurrency (as part of the industrial revolution 4.0) and in the sector of municipal waste management. The analysis reveals the differences and similarities between the cryptocurrency and municipal waste management sectors in the context of big data. The findings are significant for the estimation of the technological development of digitalized and non-digitalized sectors.

Suggested Citation

  • Tadas Limba & Andrejus Novikovas & Andrius Stankevičius & Antanas Andrulevičius & Manuela Tvaronavičienė, 2020. "Big Data Manifestation in Municipal Waste Management and Cryptocurrency Sectors: Positive and Negative Implementation Factors," Sustainability, MDPI, vol. 12(7), pages 1-14, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2862-:d:341241
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/7/2862/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/7/2862/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Juliane Begenau & Maryam Farboodi & Laura Veldkamp, 2018. "Big Data in Finance and the Growth of Large Firms," Working Papers 18-08, New York University, Leonard N. Stern School of Business, Department of Economics.
    2. Juliane Begenau & Laura Veldkamp & Maryam Farboodi, 2018. "Big Data in Finance and the Growth of Large Firms," 2018 Meeting Papers 155, Society for Economic Dynamics.
    3. Michael D. Bordo & Andrew T. Levin, 2017. "Central Bank Digital Currency and the Future of Monetary Policy," NBER Working Papers 23711, National Bureau of Economic Research, Inc.
    4. Begenau, Juliane & Farboodi, Maryam & Veldkamp, Laura, 2018. "Big data in finance and the growth of large firms," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 71-87.
    5. Fosso Wamba, Samuel & Akter, Shahriar & Edwards, Andrew & Chopin, Geoffrey & Gnanzou, Denis, 2015. "How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study," International Journal of Production Economics, Elsevier, vol. 165(C), pages 234-246.
    6. Jana Šimonová & Jozef Čentéš & Andrej Beleš, 2019. "Financial analysis of innovative forms of money," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(1), pages 69-80, September.
    7. Lin William Cong & Zhiguo He, 2019. "Blockchain Disruption and Smart Contracts," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1754-1797.
    8. Constantiou, Ioanna D & Kallinikos, Jannis, 2015. "New games, new rules: big data and the changing context of strategy," LSE Research Online Documents on Economics 63017, London School of Economics and Political Science, LSE Library.
    9. Tadas Limba & Andrius Stankevičius & Antanas Andrulevičius, 2019. "Cryptocurrency as disruptive technology: theoretical insights," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(4), pages 2068-2080, June.
    10. Boumediene Amraoui & Abdesselam Ouhajjou & Salvatore Monni & Najiba El Amrani El Idrissi & Manuela TvaronaviÄ ienÄ—, 2019. "Performance of clusters in Morocco in the shifting economic and industrial reforms," Insights into Regional Development, VsI Entrepreneurship and Sustainability Center, vol. 1(3), pages 227-243, September.
    11. Emilia Krajnakova & Mantas Svazas & Valentinas Navickas, 2019. "Biomass blockchain as a factor of energetical sustainability development," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(3), pages 1456-1467, March.
    12. Juliane Begenau & Maryam Farboodi & Laura Veldkamp, 2018. "Big Data in Finance and the Growth of Large Firms," NBER Working Papers 24550, National Bureau of Economic Research, Inc.
    13. Meaning, Jack & Dyson, Ben & Barker, James & Clayton, Emily, 2018. "Broadening narrow money: monetary policy with a central bank digital currency," Bank of England working papers 724, Bank of England.
    14. Emanuele Borgonovo & Stefano Caselli & Alessandra Cillo & Donato Masciandaro, 2017. "Beyond Bitcoin And Cash: Do We Like A Central Bank Digital Currency? A Financial And Political Economics Approach," BAFFI CAREFIN Working Papers 1765, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    15. Wolfert, Sjaak & Ge, Lan & Verdouw, Cor & Bogaardt, Marc-Jeroen, 2017. "Big Data in Smart Farming – A review," Agricultural Systems, Elsevier, vol. 153(C), pages 69-80.
    16. Sophie Cockcroft & Mark Russell, 2018. "Big Data Opportunities for Accounting and Finance Practice and Research," Australian Accounting Review, CPA Australia, vol. 28(3), pages 323-333, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Carlos Andrés Tavera Romero & Diego F. Castro & Jesús Hamilton Ortiz & Osamah Ibrahim Khalaf & Miguel A. Vargas, 2021. "Synergy between Circular Economy and Industry 4.0: A Literature Review," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    2. Hong Nham, Nguyen Thi & Ha, Le Thanh, 2022. "Making the circular economy digital or the digital economy circular? Empirical evidence from the European region," Technology in Society, Elsevier, vol. 70(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huidong Sun & Mustafa Raza Rabbani & Muhammad Safdar Sial & Siming Yu & José António Filipe & Jacob Cherian, 2020. "Identifying Big Data’s Opportunities, Challenges, and Implications in Finance," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
    2. Morshadul Hasan & Ariful Hoque & Thi Le, 2023. "Big Data-Driven Banking Operations: Opportunities, Challenges, and Data Security Perspectives," FinTech, MDPI, vol. 2(3), pages 1-26, July.
    3. Hong, Liu & Nikbakht, Ehsan & Zhou, Tianpeng, 2023. "Does product market competition affect the adoption of FinTech by non-financial firms?," Finance Research Letters, Elsevier, vol. 54(C).
    4. Jennie Bai & Massimo Massa, 2021. "Is Human-Interaction-based Information Substitutable? Evidence from Lockdown," NBER Working Papers 29513, National Bureau of Economic Research, Inc.
    5. Zhou, Zhongsheng & Li, Zhuo, 2023. "Corporate digital transformation and trade credit financing," Journal of Business Research, Elsevier, vol. 160(C).
    6. Peress, Joel & Schmidt, Daniel, 2021. "Noise traders incarnate: Describing a realistic noise trading process," Journal of Financial Markets, Elsevier, vol. 54(C).
    7. Shiyang Huang & Yan Xiong & Liyan Yang, 2022. "Skill Acquisition and Data Sales," Management Science, INFORMS, vol. 68(8), pages 6116-6144, August.
    8. Ehsan Valavi & Joel Hestness & Newsha Ardalani & Marco Iansiti, 2022. "Time and the Value of Data," Papers 2203.09118, arXiv.org.
    9. Ufuk Akcigit & Sina T. Ates, 2021. "Ten Facts on Declining Business Dynamism and Lessons from Endogenous Growth Theory," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 257-298, January.
    10. Isaac Baley & Laura Veldkamp, 2021. "Bayesian learning," Economics Working Papers 1797, Department of Economics and Business, Universitat Pompeu Fabra.
    11. Zhao, Yang & Goodell, John W. & Wang, Yong & Abedin, Mohammad Zoynul, 2023. "Fintech, macroprudential policies and bank risk: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 87(C).
    12. Le Hoang Vinh & Ngo Van Toan & Pham Le Quang, 2023. "Non-Linear Impact of ICT on Profitability of Commercial Banks in Vietnam," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 42-53.
    13. Gondhi, Naveen, 2023. "Rational inattention, misallocation, and the aggregate economy," Journal of Monetary Economics, Elsevier, vol. 136(C), pages 50-75.
    14. Anh Tuan Bui & Susan Lambert & Tung Duc Phung & Giao Reynolds, 2021. "The Impact of Business Obstacles on Firm Growth and Job Stability in East Asia and Pacific Nations," Sustainability, MDPI, vol. 13(19), pages 1-19, October.
    15. Lee, Chien-Chiang & Tang, Manting & Lee, Chi-Chuan, 2023. "Reaping digital dividends: Digital inclusive finance and high-quality development of enterprises in China," Telecommunications Policy, Elsevier, vol. 47(2).
    16. Pacelli, Vincenzo & Miglietta, Federica & Foglia, Matteo, 2022. "The extreme risk connectedness of the new financial system: European evidence," International Review of Financial Analysis, Elsevier, vol. 84(C).
    17. Andrei, Daniel & Mann, William & Moyen, Nathalie, 2019. "Why did the q theory of investment start working?," Journal of Financial Economics, Elsevier, vol. 133(2), pages 251-272.
    18. Raymond Kwong & Man Lung Jonathan Kwok & Helen S. M. Wong, 2023. "Green FinTech Innovation as a Future Research Direction: A Bibliometric Analysis on Green Finance and FinTech," Sustainability, MDPI, vol. 15(20), pages 1-27, October.
    19. Walther, Ansgar & Uettwiller, Antoine, 2019. "The Market for Data Privacy," CEPR Discussion Papers 13588, C.E.P.R. Discussion Papers.
    20. Zhou, Xi & Chen, Shou, 2021. "FinTech innovation regulation based on reputation theory with the participation of new media," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2862-:d:341241. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.