IDEAS home Printed from https://ideas.repec.org/a/spr/joiaen/v11y2022i1d10.1186_s13731-022-00220-9.html
   My bibliography  Save this article

Finding the context indigenous innovation in village enterprise knowledge structure: a topic modeling

Author

Listed:
  • Retno Kusumastuti

    (University of Indonesia)

  • Mesnan Silalahi

    (Indonesian Institute of Sciences)

  • Anugerah Yuka Asmara

    (Indonesian Institute of Sciences)

  • Ria Hardiyati

    (Indonesian Institute of Sciences)

  • Vishnu Juwono

    (University of Indonesia)

Abstract

Indigenous people have deep local knowledge of environmental sustainability and natural resource utilization, which are sources of innovations that often are drivers for economic growth in rural areas. This study explores the knowledge structure of indigenous innovation in village enterprises through content analysis of research publications. The resulting knowledge structure can be used to set up a roadmap for the studies on village enterprise and in a broader context to build metadata as a foundation for an evaluation system of village enterprise. The authors deploy topic modeling and co-word analyses to scrutinize 775 village enterprise research articles from the Scopus database and 665 paper from ScienceDirect. In the topic modeling, topic models village enterprises are setup. The topics found are local ownership (such as market and property), land, services (housing, health care), economy and public policy, financial service micro-credit, environmental pollution control, local business sustainability, social entrepreneurship, and household income, bioenergy based electrification, and bumdes management. Four sectors of the natural resource-based indigenous economy were identified: traditional food production, bio-energy for fuel and electricity, agriculture, and tourism. The topic models are used to comprehend knowledge structure in the village enterprises, whereby the focus is to uncover the context of indigenous village enterprise and its states of the art.

Suggested Citation

  • Retno Kusumastuti & Mesnan Silalahi & Anugerah Yuka Asmara & Ria Hardiyati & Vishnu Juwono, 2022. "Finding the context indigenous innovation in village enterprise knowledge structure: a topic modeling," Journal of Innovation and Entrepreneurship, Springer, vol. 11(1), pages 1-15, December.
    • Handle: RePEc:spr:joiaen:v:11:y:2022:i:1:d:10.1186_s13731-022-00220-9
    DOI: 10.1186/s13731-022-00220-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s13731-022-00220-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1186/s13731-022-00220-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Karanasios, Konstantinos & Parker, Paul, 2018. "Tracking the transition to renewable electricity in remote indigenous communities in Canada," Energy Policy, Elsevier, vol. 118(C), pages 169-181.
    2. Bongsug (Kevin) Chae & Eunhye (Olivia) Park, 2018. "Corporate Social Responsibility (CSR): A Survey of Topics and Trends Using Twitter Data and Topic Modeling," Sustainability, MDPI, vol. 10(7), pages 1-20, June.
    3. Matias, Denise Margaret S. & Tambo, Justice A. & Stellmacher, Till & Borgemeister, Christian & von Wehrden, Henrik, 2018. "Commercializing traditional non-timber forest products: An integrated value chain analysis of honey from giant honey bees in Palawan, Philippines," Forest Policy and Economics, Elsevier, vol. 97(C), pages 223-231.
    4. Huang, Junbing & Hao, Yu & Lei, Hongyan, 2018. "Indigenous versus foreign innovation and energy intensity in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1721-1729.
    5. Yang, Yuan & Cai, Wenjia & Wang, Can, 2014. "Industrial CO2 intensity, indigenous innovation and R&D spillovers in China’s provinces," Applied Energy, Elsevier, vol. 131(C), pages 117-127.
    6. Yanto Chandra & Li Crystal Jiang & Cheng-Jun Wang, 2016. "Mining Social Entrepreneurship Strategies Using Topic Modeling," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-28, March.
    7. Baskaran, Shruthi & Mehta, Khanjan, 2016. "What is innovation anyway? Youth perspectives from resource-constrained environments," Technovation, Elsevier, vol. 52, pages 4-17.
    8. repec:cup:jomorg:v:23:y:2017:i:06:p:767-773_00 is not listed on IDEAS
    9. Shr-Wei Kao & Pin Luarn, 2020. "Topic Modeling Analysis of Social Enterprises: Twitter Evidence," Sustainability, MDPI, vol. 12(8), pages 1-20, April.
    10. Zhao, S.L. & Cacciolatti, L. & Lee, S.H. & Song, W., 2015. "Regional collaborations and indigenous innovation capabilities in China: A multivariate method for the analysis of regional innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 202-220.
    11. Blackman, Allen & Veit, Peter, 2018. "Titled Amazon Indigenous Communities Cut Forest Carbon Emissions," Ecological Economics, Elsevier, vol. 153(C), pages 56-67.
    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. Jiafu Su & Fengting Zhang & Xuefeng Zhang & Na Zhang & Cong Miao & Quanxin Gan & Yan Xiao, 2024. "Stability Analysis of Collaborative Product Innovation Network Exposed to Knowledge Resource Loss," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3380-3408, March.

    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. Guo, Qing & Wang, Hongsen & Lu, Xin & Qu, Long, 2024. "Effects of innovation environment on carbon intensity: The moderating role of information industry," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 967-977.
    2. Qiao, Renlu & Liu, Xiaochang & Gao, Shuo & Liang, Diling & GesangYangji, Gesang & Xia, Li & Zhou, Shiqi & Ao, Xiang & Jiang, Qingrui & Wu, Zhiqiang, 2024. "Industrialization, urbanization, and innovation: Nonlinear drivers of carbon emissions in Chinese cities," Applied Energy, Elsevier, vol. 358(C).
    3. Huang, Junbing & Chen, Xiang, 2020. "Domestic R&D activities, technology absorption ability, and energy intensity in China," Energy Policy, Elsevier, vol. 138(C).
    4. Jing Wang & Jie Li, 2021. "Exploring the Impact of International Trade on Carbon Emissions: New Evidence from China’s 282 Cities," Sustainability, MDPI, vol. 13(16), pages 1-12, August.
    5. Huang, Junbing & Cai, Xiaochen & Huang, Shuo & Tian, Sen & Lei, Hongyan, 2019. "Technological factors and total factor productivity in China: Evidence based on a panel threshold model," China Economic Review, Elsevier, vol. 54(C), pages 271-285.
    6. Pan, Xiuzhen & Wei, Zixiang & Han, Botang & Shahbaz, Muhammad, 2021. "The heterogeneous impacts of interregional green technology spillover on energy intensity in China," Energy Economics, Elsevier, vol. 96(C).
    7. Huang, Junbing & Luan, Bingjiang & He, Wanrui & Chen, Xiang & Li, Mengfan, 2022. "Energy technology of conservation versus substitution and energy intensity in China," Energy, Elsevier, vol. 244(PA).
    8. Shaozhou Qi & Huarong Peng & Xiujie Tan, 2019. "The Moderating Effect of R&D Investment on Income and Carbon Emissions in China: Direct and Spatial Spillover Insights," Sustainability, MDPI, vol. 11(5), pages 1-19, February.
    9. Tan, R.R. & Aviso, K.B. & Ng, D.K.S., 2019. "Optimization models for financing innovations in green energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    10. Shang, Hua & Jiang, Li & Pan, Xianyou & Pan, Xiongfeng, 2022. "Green technology innovation spillover effect and urban eco-efficiency convergence: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 114(C).
    11. Yingqi Wei & Sasa Ding & Ziko Konwar, 2022. "The two faces of FDI in environmental performance: a meta-analysis of empirical evidence in China," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 20(1), pages 65-94, January.
    12. Kangjuan Lv & Yu Cheng & Yousen Wang, 2021. "Does regional innovation system efficiency facilitate energy-related carbon dioxide intensity reduction in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 789-813, January.
    13. Yi Zhang & Kaihua Chen & Guilong Zhu & Richard C. M. Yam & Jiancheng Guan, 2016. "Inter-organizational scientific collaborations and policy effects: an ego-network evolutionary perspective of the Chinese Academy of Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1383-1415, September.
    14. Ying, Ying & Wang, Shixiang & Liu, Yang, 2022. "Make bricks without straw: Eco-innovation for resource-constrained firms in emerging markets," Technovation, Elsevier, vol. 114(C).
    15. Zapata, Oscar, 2022. "Renewable Energy and Community Development," OSF Preprints tk59y, Center for Open Science.
    16. Fuzhong Chen & Guohai Jiang & Getachew Magnar Kitila, 2021. "Trade Openness and CO 2 Emissions: The Heterogeneous and Mediating Effects for the Belt and Road Countries," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    17. Drivas, Kyriakos & Economidou, Claire & Karamanis, Dimitrios & Sanders, Mark, 2020. "Mobility of highly skilled individuals and local innovation activity," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    18. Camilla Salvatore & Silvia Biffignandi & Annamaria Bianchi, 2022. "Corporate Social Responsibility Activities Through Twitter: From Topic Model Analysis to Indexes Measuring Communication Characteristics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1217-1248, December.
    19. Anita Mendiratta & Shveta Singh & Surendra Singh Yadav & Arvind Mahajan, 2023. "Bibliometric and Topic Modeling Analysis of Corporate Social Irresponsibility," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 319-339, September.
    20. Gutiérrez-López, Cristina & Castro, Paula & Tascón, María T., 2022. "How can firms' transition to a low-carbon economy affect the distance to default?," Research in International Business and Finance, Elsevier, vol. 62(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:spr:joiaen:v:11:y:2022:i:1:d:10.1186_s13731-022-00220-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.