nach oben

Global Journal of Flexible Systems Management

Erschienen in:

01.07.2021 | Original Research

Ranking the Factors Influencing e-Trading Usage in Agricultural Marketing

verfasst von: Sanjay Chaudhary, P. K. Suri

Erschienen in: Global Journal of Flexible Systems Management | Ausgabe 3/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

This research article attempts to rank the factors influencing continued e-Trading usage in Indian agriculture marketing. The ranking process is the first of its kind application in agricultural e-trading. A review of published literature has helped in identifying key factors influencing e-trading usage in agricultural marketing. The factors are ranked using the efficient Interpretive Ranking Process (IRP) methodology adopted in the context of agricultural marketing. Sixteen expert members, grouped into three different expert panels, have helped generate ranks and validation besides giving suggestions for improving e-trading usage in the context of the National Agriculture Market project (eNAM) in India. It has been found that the top factors influencing e-trading usage are 'Trust', 'Cost', 'Perceived Ease of Use', and 'Facilitating Conditions', respectively. These factors need to be supported with adequate resources to strengthen eNAM in terms of improved usage among the beneficiaries. It is further revealed that immediate attention is needed on aspects such as transparency, quick information dissemination, adequate quality assurance, uniformity in taxes and market fee, improvement in marketing infrastructure, inter-market trade logistics, conflict resolution, mobility and training. Further, the e-trading system's flexibility needs to be enhanced by incorporating modular design options, configurable new features, open-source innovation, cloud computing, and progressive artificial intelligence application.

Vorheriger Artikel Individual Resilience in the Organization in the Face of Crisis: Study of the Concept in the Context of COVID-19

Nächster Artikel Evidence for the Mediating Effects of Eco-Innovation and the Impact of Driving Factors on Sustainable Business Growth of Agribusiness

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Aggarwal, N., Jain, S., & Narayanan, S. (2016). The long road to the transformation of agricultural markets in India: Lessons from Karnataka. India. Indira Gandhi Institute of Development Research. http://www.igidr.ac.in/pdf/publication/WP-2016-026.pdf.

Ajzen, I. (1991). The Theory of Planned Behaviour. Organizational Behaviour and Human Decision Processes, 50(2), 179–211.CrossRef

Aravindh, K. S., & Karthikeyan, C. (2018). The eminence of mobile agricultural apps in the worldwide Mobile network. International Journal of Development Extension, 9(1), 26–38.

Astalin, P. K. (2013). Qualitative research designs: A conceptual framework. International Journal of Social Science & Interdisciplinary Research, 2(1), 118–125.

Aulkemeier, F., Iacob, M. E., & Hillegersberg, J. V. (2019). Platform-based collaboration in digital ecosystems. Electronic Markets, 29, 597–608.CrossRef

Auramo, J., Kauremaa, J., & Tanskanen, K. (2005). Benefits of IT in supply chain management: An explorative study of progressive companies. International Journal of Physical Distribution & Logistics Management, 35(2), 82–100.CrossRef

Bender, P. S. (2000). Debunking five supply chain myths. Supply Chain Management Review, 4(1), 52–58.

Berg, B. L. (2001). Qualitative Research Methods for the Social Sciences. Allyn and Bacon.

Bichler, M., Kalagnanam, J., Katircioglu, K., King, A. J., Lawrence, R. D., & Lee, H. S. (2002). Applications of flexible pricing in business-to-business electronic commerce. IBM Systems Journal, 41(2), 287–302.CrossRef

Bisen, J., & Kumar, R. (2018). Agricultural marketing reforms and national agriculture market (e-NAM) in India: A review. Agricultural Economics Research Review, 31, 167–176.CrossRef

Bryman, A. (2008). Social Research Methods. Oxford University Press.

Casalo, L. V., Flavian, C., & Guinaliu,. (2011). The generation of trust in online services and product distribution: The case of Spanish electronic commerce. Journal of Electronic Commerce Research, 12(3), 199–2015.

Chaudhary, S., & Suri, P. K. (2021). Modeling the Enablers of e-Trading Adoption in Agricultural Marketing: A TISM-Based Analysis of eNAM. Advance online publication. https://doi.org/10.1177/0972262920977979CrossRef

Chen, R. S., Sun, C. M., Helms, M. M., & Jih, W. J. (2009). Factors influencing information system flexibility: An interpretive flexibility perspective. International Journal of Enterprise Information Systems, 5(1), 32–43.CrossRef

Chircu, A. M., & Kauffman, R. J. (2000). A framework for performance and value assessment of e-business systems in corporate travel distribution. Working Paper. http://misrc.umn.edu/workingpapers/fullpapers/2000/0024_112900.pdf.

Chordia, T., Roll, R., & Subrahmanyam, A. (2008). Liquidity and market efficiency. Journal of Financial Economics, 87(2), 249–268.CrossRef

Clasen, M., & Mueller, R. A. E. (2006). Success factors of agribusiness digital marketplaces. Electronic Markets, 16(4), 349–360.CrossRef

Creswell, J. W. (2007). Qualitative inquiry and research design: Choosing among five approaches. Sage Publications Inc.

Davis, F. D. (1989). Perceived usefulness, perceived ease-of-use, and user acceptance of information technology. MIS Quarterly, 13(3), 318–340.CrossRef

Dejen, A., & Solomon, N. (2015). Mobile information system for small-scale rural farmers. IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR), 79–83.

Department of Agriculture Cooperation and Farmers Welfare (2018). Agricultural Statistics, at a Glance 2017 Report. Directorate of Economics and Statistics. Ministry of Agriculture and Farmers Welfare. http://agricoop.nic.in/.

Dey, K. (2016). National agricultural market-rationale rollout and ramifications. Economic & Political Weekly, 51(19), 35–39.

Dhaygude, M., & Chakraborty, D. (2020). Rethinking design of digital platforms for emergent users: Findings from a study with rural Indian farmers. India HCI '20: Proceedings of the 11th Indian Conference on Human-Computer Interaction. https://dl.acm.org/doi/proceedings/https://doi.org/10.1145/3429290.

Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers. Journal of Marketing Research, 28(3), 307–319.

Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Marc, C., & Michael, D. W. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information System Frontiers, 21, 719–734.CrossRef

Engotoit, B., Musa, B., Moya, K. G., & Abima, B. (2016). A Mobile-based communication adoption model for agricultural market information dissemination in Uganda. Global Journal of Computers & Technology, 5(1), 249–265.

Engström, A., & Salehi-Sangari, E. (2007). Assessment of Business-to-Business (B2B) e-marketplaces' Performance [Doctoral Thesis, The Luleå University of Technology]. LUT Online Repository. https://www.diva-portal.org/smash/get/diva2:990718/FULLTEXT01.pdf.

Evans, S., & Bahrami, H. (2020). Super-Flexibility in practice: Insights from a crisis. Global Journal of Flexible Systems Management, 21(3), 207–214.CrossRef

Gangotra, A., & Shankar, R. (2016). Strategies in managing risks in the adoption of business analytics practices: A case study of a telecom service provider. Journal of Enterprise Information Management, 29(3), 374–399.CrossRef

Garicano, L., & Kaplan, S. N. (2001). The effects of business-to-business E-commerce on transaction costs. Journal of Industrial Economics, 49(4), 463–485.CrossRef

Gebauer, J., & Schober, F. (2006). Information system flexibility and the cost efficiency of business processes. Journal of the Association for Information Systems, 7(3), 122–146.CrossRef

Girdžiūtė, L. (2012). Risks in agriculture and opportunities of their integrated evaluation. Procedia-Social and Behavioral Sciences, 62, 783–790.CrossRef

Global System for Mobile Communications Association (2020). The GSMA Agritech Toolkit for the Digitisation of Agricultural Value Chains. GSMA Agritech Programme. https://www.gsma.com/mobilefordevelopment/wp-content/uploads/2020/03/GSMA_AgriTech_Toolkit_for_the_Digitisation_of_Agricultural_Value_Chains1.pdf.

Goeke, R. J., & Faley, R. H. (2007). Leveraging the flexibility of your data warehouse. Communications of the ACM, 50(10), 107–111.CrossRef

Goodwin, N. C. (1987). Functionality and usability. Communications of the ACM, 30(3), 229–233.CrossRef

Gorod, A., Gandhi, S. J., Sauser, B., & Boardman, J. (2008). The flexibility of the system of systems. Global Journal of Flexible Systems Management, 9(4), 21–31.CrossRef

Govindan, K., Rajendran, S., Sarkis, J., & Murugesan, P. (2015). Multi-criteria decision-making approaches for green supplier evaluation and selection: A literature review. Journal of Clean Production, 98, 66–83.CrossRef

Gupta, P. J., & Suri, P. K. (2018). Analyzing the influence of improved situation, capability level of actors, and flexible process workflow on public value of e-governance projects in India. Global Journal of Flexible Systems Management, 19(4), 349–372.CrossRef

Hindu (2019, July 10). Just 14% of farmers registered on the eNAM platform. The Hindu Business Line. https://www.thehindubusinessline.com/economy/agri-business/just-14-of-farmers-registered-on-enam-platform/article28363454.ece.

Hindustan Times Digital Content Services (2018, April 14). Integrate spot, derivative markets to ensure better prices for farmers: Panel. The Mint. https://search.proquest.com/docview/2024675783?accountid=173681.

Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision-making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202(1), 16–24.CrossRef

Jayashanker, P., Nilakanta, S., Johnston, W. J., & Gill, P. (2018). IoT adoption in agriculture: The role of trust, perceived value, and risk. Journal of Business & Industrial Marketing, 33(6), 804–821.CrossRef

Jha, S. (2007). Indian wheat and rice sector policies and the implications of reform. Economic research report. The United States. Dept. of Agriculture. Economic Research Service, 41, 4–5.

Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus, and Giroux.

Kar, A. K., & Pani, A. K. (2014). How can a group of procurement experts select suppliers? An approach for group decision support. Journal of Enterprise Information Management, 27(4), 337–357.CrossRef

Kar, A. K., & Rakshit, A. (2015). Flexible pricing models for cloud computing based on group decision making under consensus. Global Journal of Flexible Systems Management, 16(2), 191–204.CrossRef

Kaur, T. (2015). Use of E-Marketing in the indian agriculture sector to manage distribution challenges. Anvesha, 8(1), 1–6.

Kilpatrick, J., & Factor, R. (2000). Logistics in Canada survey: Tracking the year 2000 supply chain issues and trends. Materials Management and Distribution, 45(1), 16–20.

Klynveld Peat Marwick Goerdeler (2020). Contribution of smartphones to digital governance in India. https://icea.org.in/wp-content/uploads/2020/07/Contribution-of-Smartphones-to-Digital-Governance-in-India-09072020.pdf.

Kumar, A., & Anbanandam, R. (2020). A flexible policy framework for analysing multimodal freight transportation system in India: SAP–LAP and efficient IRP method. Global Journal of Flexible Systems Management, 21(1), 35–52.CrossRef

Kuttainen, C. (2005), the Role of Trust in B2B Electronic Commerce - Evidence from Two e-Marketplaces [PhD Thesis, The Luleå University of Technology]. LUT Research Repository. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.105.4726&rep=rep1&type=pdf.

Li, Jijian, & Li, Liwei (2005). On the Critical Success Factors for B2B E-Marketplace [Paper Presentation]. Proceedings of the 7th International Conference on Electronic Commerce. Association for Computing Machinery, USA (pp. 119–122). https://doi.org/10.1145/1089551.1089576.

Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic Inquiry. Sage.CrossRef

Madurika, H., & Hemakumara, G. (2015). A GIS-based analysis for suitability location finding in the residential development areas of the greater Matara Region. International Journal of Scientific & Technology Research, 4(8), 96–105.

Mahapatra, S. K. (2020). Smartphone Apps for agri-information dissemination during covid19 lockdown. Biotica Research Today, 2(5), 116–119.

Marshall, B., Cardon, P., Poddar, A., & Fontenot, R. (2013). Does sample size matter in qualitative research: a review of qualitative interviews is research. Journal of Computer Information Systems, 54(1), 11–22.CrossRef

Michels, M., Bonke, V., & Mußhoff, O. (2019). Understanding the adoption of crop protection smartphone apps: An application of the Unified Theory of Acceptance and Use of Technology. DARE Discussion Papers 1905, Georg-August University of Göttingen. https://ideas.repec.org/p/zbw/daredp/1905.html.

Ministry of Agriculture and Farmers' Welfare (2020, August 08). National Agriculture Market. The Government of India. http://www.enam.gov.in/NAM/home/index.html.

Modekurti, D. P. V. (2016). Automation of the modified marketing procedural system to maximize transparency: A case study of vegetables in Madanapalle market. Journal of Agribusiness in Developing and Emerging Economies, 6(1), 72–88.CrossRef

Moorman, C., Zaltman, C., & Deshpande, R. (1992). Relationships between providers and users of market research: The dynamics of trust within and between organizations. Journal of Marketing Research, 29, 314–328.CrossRef

Morse, J. M. (2000). Determining the sample size. Qualitative Health Research, 10(1), 3–5.CrossRef

Muralidharan, C., Anantharaman, N., & Deshmukh, S. G. (2002). A multi-criteria group decision-making model for supplier rating. Journal of Supply Chain Management, 38(4), 22–33.CrossRef

Mustaquim, M. (2017, August 5). Agriculture marketing reforms: benefiting farmers. https://www.ruralmarketing.in/industry/agriculture/agriculture-marketing-reforms-benefiting-farmers.

Nabhani, I., & A., Daryanto, A., & Machfud, A. R. (2016). Mobile broadband for the farmers: a case study of technology adoption by cocoa Farmers in Southern East Java, Indonesia. Agris Online Papers in Economics and Informatics, 8(2), 111–120.CrossRef

Naik, Amit Raja (2019, December 16). National Agri Marketplace eNAM Growth Slower Than Expected, Reveals Data. Inc42. https://inc42.com/buzz/national-india-agri-marketplace-enam-growth-slower-than-expected-reveals-data/.

Nanda, Kasabe (2018, February 28). 30 Maharashtra APMCs join eNAM. Financial Express. https://search.proquest.com/docview/2008663970?accountid=173681.

Narkhede, B. K., Raut, R., Gardas, B., Luong, H. T., & Jha, M. (2017). Selection and evaluation of third-party logistics service providers (3PLSP) by using an interpretive ranking process (IRP). Benchmarking: An International Journal, 24(6), 1597–1648.

National Horticulture Research & Development Foundation (2018). Value Chain Study of Tomato in Karnal, Haryana. New Delhi, India. https://midh.gov.in/VCS%20Reports/18-Tomato%20Value%20Chain%20Karnal%20Haryana.pdf.

Nirmal, R. (2017). E-NAM: Why inter-state trade is still a non-starter. Indian Journal of Agricultural Marketing, 31(3) (conference special.), 73–81.

Nirmal, R. (2019, January 14). How Suryapet has changed after eNAM. Businessline. https://search.proquest.com/docview/2263642337?accountid=173681.

Parmeshwar, N., Dhir, S., & Sushil. (2020). Interpretive ranking of choice of interaction of parent firms: Post-international joint venture termination using TISM-IRP. Global Journal of Flexible Systems Management, 21, 1–16. https://doi.org/10.1007/s40171-019-00227-4CrossRef

Patnaik, G. (2011). Status of Agricultural Marketing Reforms [Paper Presentation]. Conference on Policy Options and Investment Priorities for Accelerating Agricultural Productivity and Development in India, Indira Gandhi Institute of Development Research, India. http://agritech.tnau.ac.in/amis/pdf/rs/Status_Agrl_Marketing_Reforms.pdf.

Pavithra, S., Gracy, C. P., Saxena, R., & Patil, G. G. (2018). Innovations in agricultural marketing: A case study of the e-tendering system in Karnataka. India. Agricultural Economics Research Review, 31(1), 53–64.CrossRef

Press Information Bureau (2020). Thirty-eight new mandis integrated with eNAM: The pan-India electronic Agri-produce trading portal reaches a milestone of 1000 mandis across 18 States & 3 UTs. Press Information Bureau. Ministry of Agriculture & Farmers Welfare. https://pib.gov.in/PressReleasePage.aspx?PRID=1624083.

Rajalakshmi, N. (2017, November 23). The Hindu Business Line: Centre's eNAM initiative yet to break new ground. Newstex Global Business Blogs, Chatham. https://search.proquest.com/docview/1967540902?accountid=173681.

Ramesh, A., Banwet, D. K., & Shankar, R. (2012). Modelling the barriers to supply chain collaboration. Journal of Modelling in Management, 5(2), 176–193.CrossRef

Ridings, C., Gefen, D., & Arinze, B. (2002). Some antecedents and effects of trust in virtual communities. Journal of Strategic Information Systems, 11, 271–295.CrossRef

Sajwan, Raju (2020, April 8). COVID-19: Is an e-NAM portal capable of supporting farmers. DowntoEarth. https://www.downtoearth.org.in/news/agriculture/covid-19-is-e-nam-portal-capable-of-supporting-farmers--70294.

Salimi, M., Pourdarbani, R., & Nouri, B. (2020). Factors affecting the adoption of agricultural automation using davis’s acceptance model (Case Study: Ardabil). Acta Technologica Agriculture, 23(1), 30–39.CrossRef

Seifbarghy, M., & Esfandiari, N. (2013). Modelling and solving a multi-objective supplier quota allocation problem considering transaction costs. Journal of Intelligent Manufacturing, 24, 201–209.CrossRef

Sharma, N. R., Sharma, S., & Sharma, D. (2020). Towards a mobile app technology-enabled sustainable agriculture in India. Plant Archives, 20(2), 3065–3071.

Shirzad, S. R., & Bell, D. (2013). A Systematic literature review of a flexible e-procurement marketplace. Journal of Theoretical and Applied Electronic Commerce Research, 8(2), 49–70.

Singh, K. M. (2017). Public-private partnership for effective marketing of agricultural produce. Market-led agricultural extension concept and practices. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2254495.

Singh, R. K., Modgil, S., & Acharya, P. (2019). Assessment of supply chain flexibility using system dynamics modeling. Global Journal of Flexible Systems Management, 20(Suppl 1), S39–S63.CrossRef

Smart, A., & Harrison, A. (2003). Online reverse auctions and their role in buyer-supplier relationships. Journal of Purchasing and Supply Management, 9(5–6), 257–268.CrossRef

Solaymani, S., Kiomars, S., & Esmaeil, A. Y. (2012). Adoption and use of e-commerce in SMEs: A case study. Electronic Commerce Research, 12, 249–263.CrossRef

Soni, V., Singh, S. P., & Banwet, D. K. (2016). Systematic inquiry for energy security and sustainability (a case study approach for India using SAP-LAP framework). Journal of Advances in Management Research, 13(3), 352–367.CrossRef

Subramaniam, C., & Shaw, M. J. (2002). A study of the value and impact of B2B E-commerce: The case of web-based procurement. International Journal of Electronic Commerce, 6(4), 19–40.CrossRef

Subramanian, Arvind (2016, September 16). Incentivising Pulses Production through Minimum Support Price (MSP) and Related Policies. https://finmin.nic.in/sites/default/files/Pulses_report_16th_sep_2016.pdf

Suri, P. K. (2005). NICNET based agricultural marketing information network–A farmers centric portal on agricultural marketing in india and a step towards globalizing Indian agriculture. Agricultural Marketing Journal, 45(4), 2–11.

Suri, P.K. (2018) Towards an Effective Agricultural e-Trading System in India. In: Connell J., Agarwal R., Sushil, Dhir S. (eds) Global Value Chains, Flexibility, and Sustainability. Flexible Systems Management. Singapore: Springer.

Suri, P. K., & Sushil. (2011). Strategic Insights into e-governance planning and implementation: A study of select agricultural related projects. International Journal of Electronic Governance, 4(3), 259–272. https://doi.org/10.1504/IJEG.2011.043817CrossRef

Sushil. (2005). Interpretive matrix: A tool to aid interpretation of management and social research. Global Journal of Flexible Systems Management, 6(2), 27–30.

Sushil. (2009). Interpretive ranking process. Global Journal of Flexible Systems Management, 10(4), 1–10.CrossRef

Sushil. (2012). Multiple perspectives of flexible systems management. Global Journal of Flexible Systems Management, 13(1), 1–2.CrossRef

Sushil. (2018). How to check the correctness of total interpretive structural models? Big Data Analytics in Operations & Supply Chain Management. Annals of Operation Research, 270(1–2), 473–487.

Sushil. (2017a). Multi-criteria valuation of flexibility initiatives using integrated TISM-IRP with a big data framework. Production Planning & Control, 28(11–12), 999–1010. https://doi.org/10.1080/09537287.2017.1336794CrossRef

Sushil. (2017b). Efficient interpretive ranking process incorporating implicit and transitive dominance relationships. Annals of Operations Research, 283(1–2), 1489–1516. https://doi.org/10.1007/s10479-017-2608-yCrossRef

Sushil. (2020). Interpretive multi-criteria ranking of production systems with ordinal weights and transitive dominance relationships. Annals of Operations Research, 290(1–2), 677–695. https://doi.org/10.1007/s10479-018-2946-4CrossRef

Tomar, G., Chauhan, G. S., & Panigrahi, P. K. (2016). Feasibility of m-governance in agriculture: Insights from a multimodal study in rural India. Transforming Government: People, Process and Policy, 10(3), 434–456.CrossRef

Triantaphyllou, Evangelos (2000). Multi-criteria decision-making methods: a comparative study. Applied Optimization (pp. 32). Amsterdam: Kluwer Academic Publishers.

Tsai, Y. T., & Lasminar, R. G. (2021). Proactive and reactive flexibility: How does flexibility mediate the link between supply chain information integration and performance. International Journal of Engineering Business Management, 13, 1–12.CrossRef

Tyndall, G. (1998). Supercharging Supply Chains: New Ways to Increase Value Through Global Operational Excellence. John Wiley & Sons.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.CrossRef

Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.CrossRef

Warfield, J. N. (1974). Toward an interpretation of complex structural models. IEEE Transactions on Systems, Man and Cybernetics, 4(5), 405–417.CrossRef

Wiyada, T., Vatcharaporn, E., & Donyaprueth, K. (2018). A framework to identify factors affecting the performance of third-party B2B e-marketplaces: A seller’s perspective. Electronic Markets, 28, 129–147.CrossRef

Yahya, S., & Kingsman, B. (1999). Vendor rating for an entrepreneur development programme: A case study using the analytic hierarchy process method. Journal of the Operational Research Society, 50(9), 916–930.CrossRef

Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: State-of-the-art and research challenges. Journal of Internet Services and Applications, 1(1), 7–18.CrossRef

Titel: Ranking the Factors Influencing e-Trading Usage in Agricultural Marketing
verfasst von: Sanjay Chaudhary
P. K. Suri
Publikationsdatum: 01.07.2021
Verlag: Springer India
Erschienen in: Global Journal of Flexible Systems Management / Ausgabe 3/2021
Print ISSN: 0972-2696
Elektronische ISSN: 0974-0198
DOI: https://doi.org/10.1007/s40171-021-00276-8

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 3/2021

Evidence for the Mediating Effects of Eco-Innovation and the Impact of Driving Factors on Sustainable Business Growth of Agribusiness

Impact of Big Data and Artificial Intelligence on Industry: Developing a Workforce Roadmap for a Data Driven Economy

Moderating Role of Project Innovativeness on Project Flexibility, Project Risk, Project Performance, and Business Success in Financial Services

Individual Resilience in the Organization in the Face of Crisis: Study of the Concept in the Context of COVID-19

Environment Practices Mediating the Environmental Compliance and firm Performance: An Institutional Theory Perspective from Emerging Economies