Evaluating the Impact of Integrated Go-to-Market Systems on U.S. SMB Competitiveness
Keywords:
Go-to-Market Strategy, SMB Competitiveness, Integrated Systems, Digital Transformation, Customer Acquisition, Business PerformanceAbstract
The paper highlights the effects of integrated go-to-market (GTM) systems on the competitiveness of small and medium-sized businesses (SMBs) in the United States, which is a significant gap in the knowledge of how resource-constrained companies can use systematic market strategies to their competitive advantage. Basing our argument on the Resource-Based View and the Dynamic Capabilities Theory, we used a mixed-methods approach that involved quantitative analysis of 450 SMBs in the United States, based on manufacturing, technology, and service industries, and qualitative case analysis of 15 high-performing firms. The collected data were collected with the help of structured surveys, analysis of financial records, and semi-structured interviews organized in the period between January 2021 and December 2022. We find that SMBs that have integrated GTM systems exhibit far superior competitive performance with a market responsiveness improvement of 34% and a customer acquisition cost reduction of 27 percent, compared to those that have a fragmented approach. Structural equation modeling will verify that the integration of GTM has a positive impact on competition via mediating mechanisms of organizational correspondence and data exploitation competencies. Readiness to use technology and leadership commitment were also found to be important moderating variables, and the difference in sectors indicates that service-based SMBs are gaining disproportionately through GTM integration. The proposed study is an addition to the body of strategic management literature by giving empirical evidence of the benefits of GTM integration to SMBs and providing practical implications to the business owners who operate in the increasingly complex and digitalized market environments both in developed and emerging economies.
Downloads
Published
Issue
Section
Most read articles by the same author(s)
- Imam Akintomiwa Akinlade, Musili Adeyemi Adebayo, Ahmed Olasunkanmi Tijani, Chiamaka Perpetua Ezenwaka, Obafemi Ibrahim Sikiru, Emmanuel Ayomide Oseni, The Role of Machine Learning Models in Optimizing High-Volume Customer Engagement and CRM Transformation , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
Similar Articles
- Runde Musa, Uzairu Muhammad Sada, Nickel-doped Zeolite cluster as adsorbent material for the adsorption of biodiesel oxidation products: Approach from computational study , Communication In Physical Sciences: Vol. 12 No. 1 (2024): VOLUME 12 ISSUE 1
- Abubakar Tahiru, Oluwasanmi M. Odeniran, Shardrack Amoako, Developing Artificial Intelligence-Powered Circular Bioeconomy Models That Transform Forestry Residues into High-Value Materials and Renewable Energy Solutions , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Edikan E. Akpanibah, Optimization of investment strategies for a Defined Contribution (DC) plan member with Couple Risky Assets, Tax and Proportional Administrative Fee , Communication In Physical Sciences: Vol. 7 No. 1 (2021): VOLUME 7 ISSUE 1
- Olatunde Ayeomoni, Enhancing Data Provenance, Integrity, Security, and Trustworthiness in Distributed and Federated Multi-Cloud Computing Environments , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- Temitope Deborah Babayemi, Nafisat Olabisi Raji, Osita Victor Egwuatu, Oludoyi Mayowa Olumide, Integrating Artificial Intelligence with Assistive Technology to Expand Educational Access through Speech to Text, Eye Tracking and Augmented Reality , Communication In Physical Sciences: Vol. 7 No. 4 (2021): VOLUME 7 ISSUE 4
- David Adetunji Ademilua, Advances and Emerging Trends in Cloud Computing: A Comprehensive Review of Technologies, Architectures, and Applications , Communication In Physical Sciences: Vol. 10 No. 3 (2023): VOLUME 10 ISSUE 3 (2023-2024)
- Florence Omada Ocheme, Hakeem Adewale Sulaimon, Adamu Abubakar Isah, A Deep Neural Network Approach for Cancer Types Classification Using Gene Selection , Communication In Physical Sciences: Vol. 7 No. 4 (2021): VOLUME 7 ISSUE 4
- Bayode Adeyanju, Development and Application of a Novel Bi-functional Heat Treatment Furnace: A Review , Communication In Physical Sciences: Vol. 12 No. 5 (2025): Vol 12 ISSUE 5
- Temitope Sunday Adeusi, Ayodeji Aregbesola, Impact of Climatic Condition on the Life Cycle of Water Contaminants , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- Oyakojo Emmanuel Oladipupo, Abdulahi Opejin, Jerome Nenger, Ololade Sophiat Alaran, Coastal Hazard Risk Assessment in a Changing Climate: A Review of Predictive Models and Emerging Technologies , Communication In Physical Sciences: Vol. 12 No. 6 (2025): Volume 12 ISSUE 6
You may also start an advanced similarity search for this article.



