Processing, Please wait...

  • Home
  • About Us
  • Search:
  • Advanced Search

Growing Science » Uncertain Supply Chain Management » Inventory competition, artificial intelligence, and quality improvement decisions in supply chains with digital marketing

Journals

  • IJIEC (777)
  • MSL (2643)
  • DSL (690)
  • CCL (528)
  • USCM (1092)
  • ESM (421)
  • AC (562)
  • JPM (293)
  • IJDS (952)
  • JFS (101)
  • HE (32)
  • SCI (26)

USCM Volumes

    • Volume 1 (22)
      • Issue 1 (4)
      • Issue 2 (6)
      • Issue 3 (6)
      • Issue 4 (6)
    • Volume 2 (32)
      • Issue 1 (7)
      • Issue 2 (5)
      • Issue 3 (10)
      • Issue 4 (10)
    • Volume 3 (39)
      • Issue 1 (9)
      • Issue 2 (13)
      • Issue 3 (10)
      • Issue 4 (7)
    • Volume 4 (31)
      • Issue 1 (10)
      • Issue 2 (6)
      • Issue 3 (6)
      • Issue 4 (9)
    • Volume 5 (26)
      • Issue 1 (6)
      • Issue 2 (6)
      • Issue 3 (8)
      • Issue 4 (6)
    • Volume 6 (25)
      • Issue 1 (7)
      • Issue 2 (6)
      • Issue 3 (6)
      • Issue 4 (6)
    • Volume 7 (57)
      • Issue 1 (8)
      • Issue 2 (19)
      • Issue 3 (14)
      • Issue 4 (16)
    • Volume 8 (82)
      • Issue 1 (20)
      • Issue 2 (15)
      • Issue 3 (17)
      • Issue 4 (30)
    • Volume 9 (117)
      • Issue 1 (25)
      • Issue 2 (26)
      • Issue 3 (32)
      • Issue 4 (34)
    • Volume 10 (150)
      • Issue 1 (28)
      • Issue 2 (32)
      • Issue 3 (44)
      • Issue 4 (46)
    • Volume 11 (190)
      • Issue 1 (42)
      • Issue 2 (45)
      • Issue 3 (50)
      • Issue 4 (53)
    • Volume 12 (244)
      • Issue 1 (55)
      • Issue 2 (59)
      • Issue 3 (63)
      • Issue 4 (67)
    • Volume 13 (62)
      • Issue 1 (15)
      • Issue 2 (15)
      • Issue 3 (15)
      • Issue 4 (17)
    • Volume 14 (15)
      • Issue 1 (5)
      • Issue 2 (5)
      • Issue 3 (5)

Keywords

Supply chain management(168)
Jordan(165)
Vietnam(151)
Customer satisfaction(120)
Performance(115)
Supply chain(112)
Service quality(98)
Competitive advantage(97)
Tehran Stock Exchange(94)
SMEs(89)
optimization(87)
Sustainability(86)
Artificial intelligence(85)
Financial performance(84)
Trust(83)
TOPSIS(83)
Job satisfaction(81)
Genetic Algorithm(78)
Factor analysis(78)
Social media(78)


» Show all keywords

Authors

Naser Azad(82)
Zeplin Jiwa Husada Tarigan(66)
Mohammad Reza Iravani(64)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(40)
Dmaithan Almajali(37)
Jumadil Saputra(36)
Muhammad Turki Alshurideh(35)
Ahmad Makui(33)
Barween Al Kurdi(32)
Hassan Ghodrati(31)
Basrowi Basrowi(31)
Sautma Ronni Basana(31)
Mohammad Khodaei Valahzaghard(30)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Haitham M. Alzoubi(28)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)


» Show all authors

Countries

Iran(2192)
Indonesia(1311)
Jordan(813)
India(793)
Vietnam(510)
Saudi Arabia(478)
Malaysia(444)
China(231)
United Arab Emirates(226)
Thailand(160)
United States(114)
Ukraine(110)
Turkey(110)
Egypt(106)
Peru(94)
Canada(93)
Morocco(86)
Pakistan(85)
United Kingdom(80)
Nigeria(78)


» Show all countries

Uncertain Supply Chain Management

ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print)
Quarterly Publication
Volume 11 Issue 4 pp. 1915-1924 , 2023

Inventory competition, artificial intelligence, and quality improvement decisions in supply chains with digital marketing Pages 1915-1924 Right click to download the paper Download PDF

Authors: Hanadi A. Salhab, Mahmoud Allahham, Ibrahim A. Abu-AlSondos, Rana Husseini Frangieh, Abeer F. Alkhwaldi, Basel J. A. Ali

DOI: 10.5267/j.uscm.2023.8.009

Keywords: Inventory competition, Artificial intelligence (AI) adoption, Digital marketing intensity, Quality improvement decisions, Supply chain management, Synergistic influence, Customer satisfaction, Competitiveness

Abstract: This research examines the synergistic influence of inventory competition, artificial intelligence (AI) adoption, and digital marketing intensity on quality improvement decisions within contemporary supply chains. With a focus on enhancing product and service quality, we investigate the intricate relationships among these variables. A quantitative approach involving 380 supply chain professionals reveals that heightened inventory competition, increased AI adoption, and robust digital marketing significantly contribute to quality enhancement initiatives. The study builds upon prior research by empirically validating these connections and offers practical insights for supply chain practitioners. The findings underscore the strategic imperative of organizations to strategically balance these factors to optimize their quality management strategies, fostering customer satisfaction and competitiveness. While offering valuable contributions, the study acknowledges limitations in terms of self-reported data and a specific respondent group. Future research could extend this investigation to diverse industries and geographical contexts. In the end, this study sheds light on the complex interplay that exists between inventory competition, the use of AI, digital marketing, and judgments about quality improvement. As a result, a road map has been provided for efficient quality management of supply chains in the digital age.

How to cite this paper
Salhab, H., Allahham, M., Abu-AlSondos, I., Frangieh, R., Alkhwaldi, A & Ali, B. (2023). Inventory competition, artificial intelligence, and quality improvement decisions in supply chains with digital marketing.Uncertain Supply Chain Management, 11(4), 1915-1924.

Refrences
Abu-AlSondos, I., Alkhwaldi, A., Salhab, H., Shehadeh, M., & Ali. B. (2023a) Customer attitudes towards online shopping: A systematic review of the influencing factors. International Journal of Data and Network Science, 7(1), 513-524
Abu-AlSondos, I., Salameh, A.A., Alkhwaldi, A.F., Mushtaha, A.S., Shehadeh, M., Al-Junaidi, A.M. (2023b). Evaluating Mobile E-Learning Systems Acceptance: An Integrated Model. International Journal of Interactive Mobile Technologies (iJIM), 17(16), 1–18.
Alkhwaldi A., Abu-AlSondos, I. Abdulmuhsin A., Shehadeh M., Aldhmour F. (2023). Toward an Understanding of Cutting-Edge Technologies in Financial Industry: Cryptocurrency Adoption, The 18th Annual Scientific International Conference for Business (SICB) “Sustainability and Cutting-Edge Business Technologies. 22 May 2023, Amman, Jordan.
Amiri, A. M., Kushwaha, B. P., & Singh, R. (2023). Visualisation of global research trends and future research directions of digital marketing in small and medium enterprises using bibliometric analysis. Journal of Small Business and Enterprise Development, 30(3), 621-641.
Aravindaraj, K., & Chinna, P. R. (2022). A systematic literature review of integration of industry 4.0 and warehouse management to achieve Sustainable Development Goals (SDGs). Cleaner logistics and supply chain, 100072.
Barney, J., Ketchen, D., & Wright, M. (2011). The Future of Resource-Based Theory. Journal of Management - J MANAGE, 37, 1299-1315. https://doi.org/10.1177/0149206310391805
Bataineh, A., Abu-AlSondos, I., Salhab, H., & Al-Abbas, L. (2022) A structural equation model for analyzing the relationship between enterprise resource planning and digital supply chain management, Uncertain Supply Chain Management, 10(4), 1289-1296
Bender, M. S., Janson, S., Franck, L. S., & Lee, K. (2018). Theory of symptom management. In (pp. 147-177). https://doi.org/10.1891/9780826159922.0008
Burgess, S. M., & Steenkamp, J.-B. E. M. (2006). Marketing renaissance: How research in emerging markets advances marketing science and practice. International journal of research in marketing, 23(4), 337-356. https://doi.org/https://doi.org/10.1016/j.ijresmar.2006.08.001
Csordás, A., Pancsira, J., Lengyel, P., Füzesi, I., & Felföldi, J. (2022). The potential of digital marketing tools to develop the innovative SFSC players’ business models. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 122.
Diez-Martin, F., Blanco-Gonzalez, A., & Prado-Roman, C. (2019). Research challenges in digital marketing: sustainability. Sustainability, 11(10), 2839.
Dumitriu, D., Militaru, G., Deselnicu, D. C., Niculescu, A., & Popescu, M. A.-M. (2019). A perspective over modern SMEs: Managing brand equity, growth and sustainability through digital marketing tools and techniques. Sustainability, 11(7), 2111.
Dwivedi, A. (2015). A higher-order model of consumer brand engagement and its impact on loyalty intentions. Journal of Retailing and Consumer Services, 24, 100-109. https://doi.org/https://doi.org/10.1016/j.jretconser.2015.02.007
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., Medaglia, R., Le Meunier-FitzHugh, K., Le Meunier-FitzHugh, L. C., Misra, S., Mogaji, E., Sharma, S. K., Singh, J. B., Raghavan, V., Raman, R., Rana, N. P., Samothrakis, S., Spencer, J., Tamilmani, K., Tubadji, A., Walton, P., & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., & Krishen, A. S. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, 102168.
Farhat, J., & Owayjan, M. (2017). ERP neural network inventory control. Procedia computer science, 114, 288-295.
Figueiredo, F., Gonçalves, M. J. A., & Teixeira, S. (2021, October). Information technology adoption on digital marketing: a literature review. In Informatics (Vol. 8, No. 4, p. 74). MDPI.
Gnyawali, D. R., & Park, B.-J. (2011). Co-opetition between giants: Collaboration with competitors for technological innovation. Research Policy, 40(5), 650-663. https://doi.org/https://doi.org/10.1016/j.respol.2011.01.009
Gok, M. S., & Sezen, B. (2013). Analyzing the ambiguous relationship between efficiency, quality and patient satisfaction in healthcare services: The case of public hospitals in Turkey. Health Policy, 111(3), 290-300. https://doi.org/https://doi.org/10.1016/j.healthpol.2013.05.010
Gołąb-Andrzejak, E. (2023). AI-powered Digital Transformation: Tools, Benefits and Challenges for Marketers–Case Study of LPP. Procedia computer science, 219, 397-404.
Gunasekaran, A., Lai, K.-h., & Edwin Cheng, T. C. (2008). Responsive supply chain: A competitive strategy in a networked economy. Omega, 36(4), 549-564. https://doi.org/https://doi.org/10.1016/j.omega.2006.12.002
Gunasekaran, A., Patel, C., & McGaughey, R. E. (2004). A framework for supply chain performance measurement. International Journal of Production Economics, 87(3), 333-347. https://doi.org/https://doi.org/10.1016/j.ijpe.2003.08.003
Hatamlah, H., Allan, M., Abu-AlSondos, I., Shehadeh, M., & Allahham, M. (2023). The role of artificial intelligence in supply chain analytics during the pandemic. Uncertain Supply Chain Management, 11(3), 1175-1186.
Herhausen, D., Miočević, D., Morgan, R. E., & Kleijnen, M. H. (2020). The digital marketing capabilities gap. Industrial Marketing Management, 90, 276-290.
Hossain, M. A., Agnihotri, R., Rushan, M. R. I., Rahman, M. S., & Sumi, S. F. (2022). Marketing analytics capability, artificial intelligence adoption, and firms' competitive advantage: Evidence from the manufacturing industry. Industrial Marketing Management, 106, 240-255. https://doi.org/https://doi.org/10.1016/j.indmarman.2022.08.017
Jadhav, G. G., Gaikwad, S. V., & Bapat, D. (2023). A systematic literature review: digital marketing and its impact on SMEs. Journal of Indian Business Research, 15(1), 76-91.
Kannan, P. (2017). Digital marketing: A framework, review and research agenda. International journal of research in marketing, 34(1), 22-45.
Kaynak, H. (2003). The relationship between total quality management practices and their effects on firm performance. Journal of Operations Management, 21(4), 405-435. https://doi.org/https://doi.org/10.1016/S0272-6963(03)00004-4
Kerdpitak, C. (2022). The effects of innovative management, digital marketing, service quality and supply chain management on performance in cultural tourism business. Uncertain Supply Chain Management, 10(3), 771-778.
Kitsios, F., & Kamariotou, M. (2021). Artificial intelligence and business strategy towards digital transformation: A research agenda. Sustainability, 13(4), 2025.
Kull, A. J., Mena, J. A., & Korschun, D. (2016). A resource-based view of stakeholder marketing. Journal of Business Research, 69(12), 5553-5560. https://doi.org/https://doi.org/10.1016/j.jbusres.2016.03.063
Li, S., Ragu-Nathan, B., Ragu-Nathan, T. S., & Subba Rao, S. (2006). The impact of supply chain management practices on competitive advantage and organizational performance. Omega, 34(2), 107-124. https://doi.org/https://doi.org/10.1016/j.omega.2004.08.002
Lin, C., Chow, W. S., Madu, C. N., Kuei, C.-H., & Pei Yu, P. (2005). A structural equation model of supply chain quality management and organizational performance. International Journal of Production Economics, 96(3), 355-365. https://doi.org/https://doi.org/10.1016/j.ijpe.2004.05.009
Makarova, E., & Todorovic, N. (2020). Value Chain Management as Essentials of Pricing Strategy for Digital Marketing Companies. Изв. Сарат. ун-та. Нов. сер. Сер. Экономика. Управление. Право, 20(4).
Rabiul, M. K., Promsivapallop, P., Al Karim, R., Islam, M. A., & Patwary, A. K. (2022). Fostering quality customer service during Covid-19: The role of managers’ oral language, employee work engagement, and employee resilience. Journal of Hospitality and Tourism Management, 53, 50-60. https://doi.org/https://doi.org/10.1016/j.jhtm.2022.09.002
Randhawa, K., Wilden, R., & Gudergan, S. (2021). How to innovate toward an ambidextrous business model? The role of dynamic capabilities and market orientation. Journal of Business Research, 130, 618-634. https://doi.org/https://doi.org/10.1016/j.jbusres.2020.05.046
Rehman, S., Al-Shaikh, M., Washington, P., Lee E., Song, Z., Abu-AlSondos, I., Shehadeh, M. & Allahham, M. (2023) Fintech adoption in SMEs and Bank Credit supplies A Study from
Manufacturing SMEs, Economies, 11, 213
Saura, J. R., Ribeiro-Soriano, D., & Palacios-Marqués, D. (2021). Setting B2B digital marketing in artificial intelligence-based CRMs: A review and directions for future research. Industrial Marketing Management, 98, 161-178.
Shankar, V., Grewal, D., Sunder, S., Fossen, B., Peters, K., & Agarwal, A. (2022). Digital marketing communication in global marketplaces: A review of extant research, future directions, and potential approaches. International journal of research in marketing, 39(2), 541-565.
Shehadeh, M., Almajali, D., Abu-AlSondos, I. A., Alkhwaldi, A. F., & Al-Gasaymeh, A. S. (2023, March). Digital Transformation and its Impact on Operational Efficiency and Competitive Advantage in Islamic Banks. In 2023 International Conference on Business Analytics for Technology and Security (ICBATS) (pp. 1-6). IEEE. doi: 10.1109/ICBATS57792.2023.10111266.
Singh, S., Mondal, S., Singh, L. B., Sahoo, K. K., & Das, S. (2020). An Empirical Evidence Study of Consumer Perception and Socioeconomic Profiles for Digital Stores in Vietnam. Sustainability, 12(5), 1716. https://www.mdpi.com/2071-1050/12/5/1716
Spieth, P., Roeth, T., & Meissner, S. (2019). Reinventing a business model in industrial networks: Implications for customers' brand perceptions. Industrial Marketing Management, 83, 275-287. https://doi.org/https://doi.org/10.1016/j.indmarman.2019.04.013
Srivastava, R. K., Fahey, L., & Christensen, H. K. (2001). The resource-based view and marketing: The role of market-based assets in gaining competitive advantage. Journal of Management, 27(6), 777-802. https://doi.org/https://doi.org/10.1016/S0149-2063(01)00123-4
Tolstoy, D., Nordman, E. R., & Vu, U. (2022). The indirect effect of online marketing capabilities on the international performance of e-commerce SMEs. International Business Review, 31(3), 101946. https://doi.org/https://doi.org/10.1016/j.ibusrev.2021.101946
Verhoef, P. C., & Bijmolt, T. H. (2019). Marketing perspectives on digital business models: A framework and overview of the special issue. International Journal of Research in Marketing, 36(3), 341-349.
Yaiprasert, C., & Hidayanto, A. N. (2023). AI-driven ensemble three machine learning to enhance digital marketing strategies in the food delivery business. Intelligent Systems with Applications, 18, 200235.
Yang, M., Fu, M., & Zhang, Z. (2021). The adoption of digital technologies in supply chains: Drivers, process and impact. Technological Forecasting and Social Change, 169, 120795.

  • 51
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: Uncertain Supply Chain Management | Year: 2023 | Volume: 11 | Issue: 4 | Views: 5096 | Reviews: 0

Related Articles:
  • The influence of financial literacy, digital literacy, digital marketing, b ...
  • Digital transformation and competitiveness in Peruvian small business
  • Does economic policy uncertainty exacerbate the gap between firms’ words an ...
  • Factors influencing consumers' online shopping decisions
  • The impact of digital marketing and brand articulating capability for enhan ...

Add Reviews

Name:*
E-Mail:
Review:
Bold Italic Underline Strike | Align left Center Align right | Insert smilies Insert link URLInsert protected URL Select color | Add Hidden Text Insert Quote Convert selected text from selection to Cyrillic (Russian) alphabet Insert spoiler
winkwinkedsmileam
belayfeelfellowlaughing
lollovenorecourse
requestsadtonguewassat
cryingwhatbullyangry
Security Code: *
Include security image CAPCHA.
Refresh Code

® 2010-2026 GrowingScience.Com