Social Media Sentiment Analysis of Intangible Assets in SME Success: The Role of Connection, Ethical Principles, and Partnerships

Main Article Content

Kyra Law Ley Sy
Jason J Turner
Ponco Budi Sulistyo
Angga Ranggana Putra
Fauzi Adi Rafrastara

Abstract

Small and Medium Enterprises (SMEs) have been the subject of various practitioner and academic research to better understand the underlying reasons for success and failure. In the Malaysian context, focusing on non-financial factors, three key themes emerge that are associated with SME success: connections, ethical principles, and partnerships. This study explores their individual and collective roles in SME success by capturing real-time perceptions from identified stakeholders through sentiment analysis of social media comments. Based on a curated sample of 58 comments from the Entrepreneurship and Startups in Malaysia Facebook group, the research integrated Natural Language Processing (NLP) models to detect expressions such as sarcasm and irony, along with manual thematic validation. This study revealed distinctive sentiment patterns among SMEs, with positive sentiment concentrated in themes related to employee reliability and intrinsic motivation, the integration of ethics into everyday operations and systems, and collaboration with complementary partnerships. This study demonstrated the strength of sentiment analysis of organic digital communications as a means of scaling, unobtrusively, and continuously diagnosing the health of an SME’s vital intangible ecosystem. The resulting framework proactively monitors and fosters relational pillars, enabling a shift from intuitive management to evidence-based interventions.

Article Details

How to Cite
Ley Sy, K. L., Turner, J. J., Sulistyo, P. B., Ranggana Putra, A., & Adi Rafrastara, F. (2026). Social Media Sentiment Analysis of Intangible Assets in SME Success: The Role of Connection, Ethical Principles, and Partnerships. Journal of Communication, Language and Culture, 6(2), 1–12. https://doi.org/10.33093/jclc.2026.6.2.1
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References

Abubakari, A., Ofori, K. S., Boateng, H., N’Da, K., & Hinson, R. E. (2022). The effect of foreign market knowledge on SME export performance: A study of non-traditional SMEs in Ghana. Global Knowledge, Memory and Communication, 71(6/7), 546–563. https://doi.org/10.1108/gkmc-03-2021-0054

Ali, S., Abbasi, I. A., Mustafa, E. E., Wahid, F., & Huang, J. (2022). Practitioner’s view of the success factors for software outsourcing partnership formation: An empirical exploration. Empirical Software Engineering, 27(2), 52–115. https://doi.org/10.1007/s10664-021-10044-y

Baah, C., Afum, E., Agyabeng-Mensah, Y., Dacosta, E., Opoku-Agyeman, D., & Nyame, C. (2023). Environmental orientation, relational capital and SMEs performance: Do religious, cultural and mimetic orientations matter in a Sub-Saharan African economy? Benchmarking: An International Journal, 30(1), 215–233. https://doi.org/10.1108/bij-05-2021-0299

Bashiri, H., & Naderi, H. (2024). Comprehensive review and comparative analysis of transformer models in sentiment analysis. Knowledge and Information Systems, 66(12), 7305–7361. https://doi.org/10.1007/s10115-024-02214-3

Belur, J., Tompson, L., Thornton, A., & Simon, M. (2021). Interrater reliability in systematic review methodology: Exploring variation in coder decision-making. Sociological Methods & Research, 50(2), 837–865. https://doi.org/10.1177/0049124118799372

Bhattacharya, P., Prasad, V. K., Verma, A., Gupta, D., Sapsomboon, A., Viriyasitavat, W., & Dhiman, G. (2024). Demystifying ChatGPT: An in-depth survey of OpenAI’s robust large language models. Archives of Computational Methods in Engineering, 31(8), 4557–4600. https://doi.org/10.1007/s11831-024-10115-5

Bilali, J. B. (2022). Small/medium sized enterprises (SMEs) competitiveness: A global perspective competitiveness of small and medium-sized enterprises. Journal of Enterprise and Business Intelligence, 2(2), 109–119. https://doi.org/10.53759/5181/jebi202202012

Bodige, R., Akarapu, R., & Poladi, P. K. (2025). Transformer-based advances in sarcasm detection: A study of contextual models and methodologies. Knowledge and Information Systems, 67(9), 7399–7430. https://doi.org/10.1007/s10115-025-02469-4

Chowdhary, S., Selvakumar, P., Sangeetha, B., Sarvaani, V. V., Anute, N., & Sharma, M. (2025). The role of social capital in entrepreneurial development. In J. M. Nez-Falc, E. S. Nchez-Garc, & B. Marco-Lajara (Eds.), Support networks for entrepreneurs: Social capital and strategic collaborations (pp. 311–338). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-9836-4.ch013

Cyril, C. P. D., Beulah, J. R., Subramani, N., Mohan, P., Harshavardhan, A., & Sivabalaselvamani, D. (2021). An automated learning model for sentiment analysis and data classification of Twitter data using balanced CA-SVM. Concurrent Engineering, 29(4), 386–395. https://doi.org/10.1177/1063293x211031485

Daradkeh, M. (2023). Navigating the complexity of entrepreneurial ethics: A systematic review and future research agenda. Sustainability, 15(14), 11099. https://doi.org/10.3390/su151411099

Davis, E. J. (2022). Effective employee engagement strategies of successful small business leaders and its impact on organizational performance: A multiple case study [Doctoral dissertation, Northcentral University].

Dogan, B., Balcioglu, Y. S., & Elçi, M. (2025). Multidimensional sentiment analysis method on social media data: Comparison of emotions during and after the COVID-19 pandemic. Kybernetes, 54(4), 2414–2456. https://doi.org/10.1108/k-09-2023-1808

Dubey, P., Dubey, P., & Bokoro, P. N. (2025). Unpacking sarcasm: A contextual and transformer-based approach for improved detection. Computers, 14(3), 95. https://doi.org/10.3390/computers14030095

Durairaj, A. K., & Chinnalagu, A. (2021). Transformer based contextual model for sentiment analysis of customer reviews: A fine-tuned BERT. International Journal of Advanced Computer Science and Applications, 12(11), 474–480. https://doi.org/10.14569/ijacsa.2021.0121153

El Barachi, M., AlKhatib, M., Mathew, S., & Oroumchian, F. (2021). A novel sentiment analysis framework for monitoring the evolving public opinion in real-time: Case study on climate change. Journal of Cleaner Production, 312, 127820. https://doi.org/10.1016/j.jclepro.2021.127820

Fluhrer, P., & Brahm, T. (2023). Positioning in SMEs: Entrepreneurs’ perceptions and strategies. Journal of Research in Marketing and Entrepreneurship, 25(3), 431–454. https://doi.org/10.1108/jrme-09-2021-0120

George, A. S., & Baskar, T. (2024). Leveraging big data and sentiment analysis for actionable insights: A review of data mining approaches for social media. Partners Universal International Innovation Journal, 2(4), 39–59. https://doi.org/10.5281/zenodo.13623776

Grimm, J., & Reinecke, J. (2024). Collaborating on the edge of failure: Frame alignment across multiple interaction arenas in multi-stakeholder partnerships. Academy of Management Journal, 67(4), 956–990. https://doi.org/10.5465/amj.2021.0466

Gutierrez, A., Aguilar, J., Ortega, A., & Montoya, E. (2025). Sentiment analysis on social networks for defining innovation problems in organizations. Technology in Society, 81, 102804. https://doi.org/10.1016/j.techsoc.2024.102804

Jalali, A., Al Riyami, S. M., Razzak, M. R., & Suleiman Alqam, H. (2024). Linking extra-industry network and organization–stakeholder relationships to SMEs performance through absorptive capacity: Interaction effect of outsourcing big data analytics. Business Process Management Journal, 30(2), 411–434. https://doi.org/10.1108/bpmj-05-2023-0347

Jin, L., & Liu, M. (2025). Unlocking financial opportunities: The substantial alleviation of financing constraints on small and micro enterprises through digital inclusive finance. Journal of the Knowledge Economy, 16(1), 2283–2309. https://doi.org/10.1007/s13132-024-01863-7

Johari, N. H. B., Mohamad, N. E. A., Rahman, N. R. A., & Chin, O. (2021). Factoring tangible and intangible resources into the Small Medium Enterprise Resilient Index (SMERi): A novel contribution for SME sustainability. Global Business & Management Research, 13.

Jones, O. W., Gold, J., & Devins, D. (2021). SME productivity stakeholders: Getting in the right orbit. International Journal of Productivity and Performance Management, 70(2), 233–255. https://doi.org/10.1108/ijppm-06-2019-0274

Khan, M. M. (2024). Optimizing web surveys in research: Methodological considerations and validity aspects. International Journal of Research and Scientific Innovation, 11(4), 75–105. https://doi.org/10.51244/ijrsi.2024.1104007

Mariam, S. (2025). Exploring collaboration and partnerships: A qualitative study on strategic alliances and business networking for value creation. Golden Ratio of Marketing and Applied Psychology of Business, 5(2), 386–399. https://doi.org/10.52970/grmapb.v5i2.1170

Mathew, P. V., & John, A. (2024). Comprehensive insights into key personal factors shaping entrepreneurial success: A multi-dimensional analysis. Innovatus: An Ivanian Journal of Economics and Business Studies, 9–16. https://marivanioscollegejournals.com/index.php/innovatous/article/view/64

Mishra, K., & Aithal, P. S. (2023). Building ethical capital through human resource. International Journal of Management, Technology, and Social Sciences, 8(1), 1–15. https://doi.org/10.47992/ijmts.2581.6012.0251

Moore, R., Gimbert, B. G., & Becce, M. (2024). BELIEVE in collaboration: Effective evaluation partnerships for National Professional Development projects. TESOL Journal, 15(4), e856. https://doi.org/10.1002/tesj.856

Mtjilibe, T., Rameetse, E., Mgwenya, N., & Thango-Mabizela, B. (2024). Exploring the challenges and opportunities of social media for organizational engagement in SMEs: A comprehensive systematic review [Preprint]. Social Science Research Network. https://doi.org/10.20944/preprints202410.1438.v1

Nakpodia, F., Olan, F., Ogunyemi, T., & Hasan, A. (2026). Navigating the roadblocks: Exploring challenges in implementing corporate social responsibility (CSR) initiatives in a Sub-Saharan African economy’s small and medium enterprises (SMEs). European Business Review, 38(1), 17–45. https://doi.org/10.1108/ebr-01-2024-0005

Naradda Gamage, S. K., Ekanayake, E. M. S., Abeyrathne, G. A. K. N. J., Prasanna, R. P. I. R., Jayasundara, J. M. S. B., & Rajapakshe, P. S. K. (2020). A review of global challenges and survival strategies of small and medium enterprises (SMEs). Economies, 8(4), 79. https://doi.org/10.3390/economies8040079

Okechukwu, N., & Agbai, E. P. (2024). Exploring the role of value orientation in small and medium-sized enterprise (SME) and entrepreneurial development in Nigeria. Journal of the International Institute for African Scholars, 1(1), 5–26.

Omowole, B. M., Olufemi-Philips, A. Q., Ofodile, O. C., Eyo-Udo, N. L., & Ewim, S. E. (2024). Conceptualizing agile business practices for enhancing SME resilience to economic shocks. International Journal of Scholarly Research and Reviews, 5(2), 070–088. https://doi.org/10.56781/ijsrr.2024.5.2.0049

Paauwe, J., & Van De Voorde, K. (2025). Bridging the research-practice gap in modern human resource management. Human Resource Management Review, 35(2), 101076. https://doi.org/10.1016/j.hrmr.2025.101076

Price, R. A., Quigley, D. D., Hargraves, J. L., Sorra, J., Becerra-Ornelas, A. U., Hays, R. D., Cleary, P. D., Brown, J., & Elliott, M. N. (2022). A systematic review of strategies to enhance response rates and representativeness of patient experience surveys. Medical Care, 60(12), 910–918. https://doi.org/10.1097/mlr.0000000000001784

Ren, M. (2024). Advancements and applications of large language models in natural language processing: A comprehensive review. Applied and Computational Engineering, 97(1), 55–63. https://doi.org/10.54254/2755-2721/97/20241406

Saleem, S., & Kumarapathirage, S. (2023, June). AutoNLP: A framework for automated model selection in natural language processing. In 2023 18th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1–4). https://doi.org/10.23919/cisti58278.2023.10212030

Selma, H. K. (2021). Ratings for innovative SMEs and start-ups and intangible capital: Literature review and proposal of a new approach. Studies of Applied Economics, 38(4). https://doi.org/10.25115/eea.v38i4.4014

Selvakumar, P., Aradhya, S. G. B., Anute, N., Devi, S., Sharma, M., & Vaissnave, V. (2025). Strategic collaborations and partnerships in entrepreneurship. In J. M. Nez-Falc, E. S. Nchez-Garc, & B. Marco-Lajara (Eds.), Support networks for entrepreneurs: Social capital and strategic collaborations (pp. 203–232). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-9836-4.ch009

Theodorakopoulos, L., & Theodoropoulou, A. (2024). Leveraging big data analytics for understanding consumer behavior in digital marketing: A systematic review. Human Behavior and Emerging Technologies, 2024(1), 3641502. https://doi.org/10.1155/2024/3641502

Tijani, A. A., Osagie, R. O., & Afolabi, K. B. (2021). Effect of strategic alliance and partnership on the survival of MSMEs post COVID-19 pandemic. Economic & Managerial Spectrum, 15(2), 126–137. https://doi.org/10.26552/ems.2021.2.126-137

Van der Vlist, F. N., Helmond, A., Burkhardt, M., & Seitz, T. (2022). API governance: The case of Facebook’s evolution. Social Media + Society, 8(2). https://doi.org/10.1177/20563051221086228

Vatamanescu, E. M., Mitan, A., Andrei, A. G., & Ghigiu, A. M. (2022). Linking coopetition benefits and innovative performance within small and medium-sized enterprises networks: A strategic approach on knowledge sharing and direct collaboration. Kybernetes, 51(7), 2193–2214. https://doi.org/10.1108/k-11-2020-0731

Wang, B., Zhang, R., Xue, B., Zhao, Y., Yang, L., & Liang, H. (2024). Automatically distinguishing people’s explicit and implicit attitude bias by bridging psychological measurements with sentiment analysis on large corpora. Applied Sciences, 14(10), 4191. https://doi.org/10.3390/app14104191