IDEAS home Printed from https://ideas.repec.org/a/ora/journl/v33y2024i1p497-505.html

Network Oriented Enterprise – Characteristics, Components And Benefits: Comprehensive Literature Review

Author

Listed:
  • Cristian-Dan BIRIȘ

    (Management and Entrepreneurship Department, Faculty of Economics and Business Administration, West University of Timișoara - Timișoara, România)

Abstract

The concept of network based economy refers to the interconnectivity of the current business environment, in the context of the global economy, where the main way of progress is given by the participation in a network. On the other hand, the network orientation of a business organization has as a priority its integration within physical or virtual networks, in order to increase its efficiency, acquire new information and finally achieve competitiveness. This paper carries out an extensive literature review, and it will explain different characteristics related to the two concepts, as well as their components. Thus, the present research is of a theoretical nature, carried out in a qualitative manner, because a series of articles from the scientific literature have been analyzed. Also, this study will identify the benefits of an organization orientation towards business networks in order to facilitate incremental and radical product, service and process innovation, as a result of the fact that innovation has a high importance for a company in order to ensure its competitiveness in a sustainable manner in the turbulent economic environment in which it operates. Moreover, the benefits of focusing on business networks are also propagated on the processes of ensuring efficient human resources at company level, as a result of the fact that the dynamic economic environment brings with it a need to correlate employees’ skills with the new needs existing in the business environment. Thus, business organizations must be constantly on the lookout for best practices in human resources, which is made easier by their participation in networks. Finally, the main benefit of this research is the providing a new perspective on a company’s business network orientation.

Suggested Citation

  • Cristian-Dan BIRIȘ, 2024. "Network Oriented Enterprise – Characteristics, Components And Benefits: Comprehensive Literature Review," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 33(1), pages 497-505, July.
  • Handle: RePEc:ora:journl:v:33:y:2024:i:1:p:497-505
    as

    Download full text from publisher

    File URL: https://anale.steconomiceuoradea.ro/en/wp-content/uploads/2024/11/AUOES.July_.2024.52.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Belussi, Fiorenza & Sammarra, Alessia & Sedita, Silvia Rita, 2010. "Learning at the boundaries in an "Open Regional Innovation System": A focus on firms' innovation strategies in the Emilia Romagna life science industry," Research Policy, Elsevier, vol. 39(6), pages 710-721, July.
    2. Carolina Cañibano & Jason Potts, 2019. "Toward an evolutionary theory of human capital," Journal of Evolutionary Economics, Springer, vol. 29(3), pages 1017-1035, July.
    3. repec:bof:bofrdp:urn:nbn:fi:bof-201512101464 is not listed on IDEAS
    4. Valkokari, Katri, 2015. "Describing network dynamics in three different business nets," Scandinavian Journal of Management, Elsevier, vol. 31(2), pages 219-231.
    5. Alison Rieple & Marco Pironti & Paola Pisano, 2012. "Business Network Dynamics and Diffusion of Innovation," Symphonya. Emerging Issues in Management, Niccolò Cusano University, issue 2 Innovat, pages 13-25.
    6. Paul Hong & Seung-Chul Kim, 2012. "Business network excellence for competitive advantage: case of Korean firms," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 5(5), pages 448-462.
    7. Daron Acemoglu & Ufuk Akcigit & William Kerr, 2016. "Networks and the Macroeconomy: An Empirical Exploration," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 273-335.
    8. Steve Evans & Doroteya Vladimirova & Maria Holgado & Kirsten Van Fossen & Miying Yang & Elisabete A. Silva & Claire Y. Barlow, 2017. "Business Model Innovation for Sustainability: Towards a Unified Perspective for Creation of Sustainable Business Models," Business Strategy and the Environment, Wiley Blackwell, vol. 26(5), pages 597-608, July.
    9. Vasco M. Carvalho, 2014. "From Micro to Macro via Production Networks," Journal of Economic Perspectives, American Economic Association, vol. 28(4), pages 23-48, Fall.
    10. Bouncken, Ricarda B. & Fredrich, Viktor, 2016. "Learning in coopetition: Alliance orientation, network size, and firm types," Journal of Business Research, Elsevier, vol. 69(5), pages 1753-1758.
    11. Nicole E Coviello, 2006. "The network dynamics of international new ventures," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 37(5), pages 713-731, September.
    12. Francis Munier & Francis Kern, 2009. "Knowledge creation in networks: a comparison between firm-network and network of firms," Journal of Innovation Economics, De Boeck Université, vol. 0(2), pages 79-94.
    13. Nicole Coviello & Martin Cox, 2006. "The resource dynamics of international new venture networks," Journal of International Entrepreneurship, Springer, vol. 4(2), pages 113-132, September.
    14. Daron Acemoglu & Ufuk Akcigit & William Kerr, 2016. "Networks and the Macroeconomy: An Empirical Exploration," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 273-335.
    15. Neil Bendle & Mark Vandenbosch, 2014. "Competitor Orientation and the Evolution of Business Markets," Marketing Science, INFORMS, vol. 33(6), pages 781-795, November.
    Full references (including those not matched with items on IDEAS)

    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. Mundt, Philipp, 2021. "The formation of input–output architecture: Evidence from the European Union," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 89-104.
    2. Ernest Liu & Aleh Tsyvinski, 2021. "Dynamical Structure and Spectral Properties of Input-Output Networks," Working Papers 2021-13, Princeton University. Economics Department..
    3. Frohm, Erik & Gunnella, Vanessa, 2017. "Sectoral interlinkages in global value chains: spillovers and network effects," Working Paper Series 2064, European Central Bank.
    4. Becker, Raphael Niklas & Henkel, Marcel, 2020. "The role of key regions in spatial development," DICE Discussion Papers 331, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    5. Vallès Codina, Oriol, 2023. "Business cycles, sectoral price stabilization, and climate change mitigation: A model of multi-sector growth in the tradition of the Bielefeld disequilibrium approach," Journal of Economic Behavior & Organization, Elsevier, vol. 216(C), pages 636-653.
    6. Pasten, Ernesto & Schoenle, Raphael & Weber, Michael, 2020. "The propagation of monetary policy shocks in a heterogeneous production economy," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 1-22.
    7. Julian Di Giovanni & Galina Hale, 2022. "Stock Market Spillovers via the Global Production Network: Transmission of U.S. Monetary Policy," Journal of Finance, American Finance Association, vol. 77(6), pages 3373-3421, December.
    8. Brancaccio, Emiliano & Giammetti, Raffaele & Lopreite, Milena & Puliga, Michelangelo, 2019. "Monetary policy, crisis and capital centralization in corporate ownership and control networks: A B-Var analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 55-66.
    9. Michael Weber & Ali Ozdagli, 2016. "Monetary Policy Through Production Networks: Evidence from the Stock Market," 2016 Meeting Papers 148, Society for Economic Dynamics.
    10. João Amador & Sónia Cabral & Rossana Mastrandrea & Franco Ruzzenenti, 2018. "Who’s Who in Global Value Chains? A Weighted Network Approach," Open Economies Review, Springer, vol. 29(5), pages 1039-1059, November.
    11. Chiara Criscuolo & Jonathan Timmis, 2017. "The Relationship Between Global Value Chains and Productivity," International Productivity Monitor, Centre for the Study of Living Standards, vol. 32, pages 61-83, Spring.
    12. Glenn Magerman & Karolien De Bruyne & Emmanuel Dhyne & Jan Van Hove, 2016. "Heterogeneous firms and the micro origins of aggregate fluctuations," Working Paper Research 312, National Bank of Belgium.
    13. Grazzini, Jakob & Spelta, Alessandro, 2022. "An empirical analysis of the global input–output network and its evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    14. Tokui, Joji & Kawasaki, Kazuyasu & Miyagawa, Tsutomu, 2017. "The economic impact of supply chain disruptions from the Great East-Japan earthquake," Japan and the World Economy, Elsevier, vol. 41(C), pages 59-70.
    15. Bernstein, Shai & Colonnelli, Emanuele & Giroud, Xavier & Iverson, Benjamin, 2019. "Bankruptcy spillovers," Journal of Financial Economics, Elsevier, vol. 133(3), pages 608-633.
    16. Alper Duman, 2016. "Inter-city Trade Networks in Turkey: Shocks and Spillovers," EcoMod2016 9578, EcoMod.
    17. Caraiani, Petre, 2019. "Oil shocks and production network structure: Evidence from the OECD," Energy Economics, Elsevier, vol. 84(C).
    18. Pesaran, M. Hashem & Yang, Cynthia Fan, 2020. "Econometric analysis of production networks with dominant units," Journal of Econometrics, Elsevier, vol. 219(2), pages 507-541.
    19. Yuwan Duan & Yanping Zhao & Jakob Haan, 2020. "Exchange Rate Pass-through in China: A Cost-Push Input-Output Price Model," Open Economies Review, Springer, vol. 31(3), pages 513-528, July.
    20. Michael Weber & Ali Ozdagli, 2016. "Monetary Policy Through Production Networks: Evidence from the Stock Market," 2016 Meeting Papers 148, Society for Economic Dynamics.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    Statistics

    Access and download statistics

    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:ora:journl:v:33:y:2024:i:1:p:497-505. 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: Catalin ZMOLE The email address of this maintainer does not seem to be valid anymore. Please ask Catalin ZMOLE to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/feoraro.html .

    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.