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Indian Journal of Marketing

ISSN: 0973-8703 Frequency: Monthly Peer Review: Double-blind Published since: 1968 Language: English
A publication of AMCPL
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New Delhi, India
Indexed in: Scopus Q3 UGC-CARE Group II ABDC: C Google Scholar J-Gate NAAS NISCAIR Crossref

Original Article

Open Access Original Article

The Linkage Between Marketing Intensity and Firm Performance : A Quantile Regression Approach

Tarun Kumar Soni1Rajeev Sirohi2Divya Singh Jamwal3

1 Associate Professor, FORE School of Management, “Adhitam Kendra” B-18, Qutub Institutional Area, New Delhi - 110 016

2 Assistant Professor (Sr.), Lal Bahadur Shastri Institute of Management, 11/07 Dwarka Sector 11, Near Metro Station, New Delhi - 110 075

3 Assistant Professor, School of Business, Faculty of Management, Shri Mata Vaishno Devi University, Katra - 182 320, Jammu and Kashmir

Volume 54
Issue 4
Pages 46–59
Year 2024
Received: Dec. 5, 2023 Accepted: March 1, 2024 Published: April 1, 2024
Abstract

Purpose: This study comprehensively analyzed how marketing intensity affected a firm’s performance across various quantiles of profit distributions for Indian manufacturing firms.

Methodology: This study employed a panel quantile regression approach and used a comprehensive dataset comprising financial and marketing performance metrics from a diverse sample of Indian manufacturing sector firms over the past 12 years. This study used several proxies for marketing intensity: the actual expenditure on advertising, promotion, distribution, and pricing. It also controlled for several firm-level controls, including past profitability, leverage, foreign market knowledge, liquidity, and risk.

Findings: The performance of domestic manufacturing enterprises was favorably connected with marketing intensity, as demonstrated by the data. The findings additionally indicated that, after sales promotion expenses, distribution expenditures have the largest positive influence on business success. Furthermore, when analyzing the correlation between company profitability and the various proxies of marketing intensity, we found larger differences in performance across the lower, medium, and higher quantiles.Practical

Implications: The results of this study provided insights into how the relationship between marketing intensity and firm performance changes across different quantiles and whether the results were significantly different for the four parameters of marketing intensity. The results confirmed that the distribution intensity coefficient was larger than the promotion and advertisement intensity coefficients, suggesting that the distribution investment was more impactful than the other two marketing intensity measures.Originality/

Value: This information could aid manufacturing firms in planning their marketing resources and strategies to increase profitability. It could also help decision-makers allocate firm resources more efficiently across different measures of marketing intensity.

Keywords Marketing Intensity Firm Performance Manufacturing Sector Quantile Regression
How to Cite

Tarun Kumar Soni, Rajeev Sirohi, Divya Singh Jamwal (2024). The Linkage Between Marketing Intensity and Firm Performance : A Quantile Regression Approach. Indian Journal of Marketing, 54(4), 46–59. https://doi.org/10.17010/ijom/2024/v54/i4/173713

References
  1. Acikdilli, G., Mintu-Wimsatt, A., Kara, A., & Spillan, J. E. (2022). Export market orientation, marketing capabilities and export performance of SMEs in an emerging market: A resource-based approach. Journal of Marketing Theory and Practice, 30(4), 526–541. https://doi.org/10.1080/10696679.2020.1809461
  2. Alexy, O., West, J., Klapper, H., & Reitzig, M. (2018). Surrendering control to gain advantage: Reconciling openness and the resource-based view of the firm. Strategic Management Journal, 39(6), 1704–1727. https://doi.org/10.1002/smj.2706
  3. Arora, T., Agarwal, B., & Kumar, A. (2018). A study of millennials's preferences for social media advertising in Delhi NCR. Indian Journal of Marketing, 48(10), 34–51. https://doi.org/10.17010/ijom/2018/v48/i10/132334
  4. Barney, J. B. (2021). The emergence of resource-based theory: A personal journey. Journal of Management, 47(7), 1663–1676. https://doi.org/10.1177/01492063211015272
  5. Barney, J. B., Ketchen Jr., D. J., & Wright, M. (2021). Resource-based theory and the value creation framework. Journal of Management, 47(7), 1936–1955. https://doi.org/10.1177/01492063211021655
  6. Boulding, W., Lee, E., & Staelin, R. (1994). Mastering the mix: Do advertising, promotion, and sales force activities lead to differentiation? Journal of Marketing Research, 31(2), 159–172. https://doi.org/10.1177/002224379403100202
  7. Buzzell, R. D., & Gale, B. T. (1987). The PIMS principles: Linking strategy to performance. Simon and Schuster.
  8. Chaithanapat, P., Punnakitikashem, P., Khin Khin Oo, N. C., & Rakthin, S. (2022). Relationships among knowledge-oriented leadership, customer knowledge management, innovation quality and firm performance in SMEs. Journal of Innovation & Knowledge, 7(1), 100162. https://doi.org/10.1016/j.jik.2022.100162
  9. Davcik, N. S., & Sharma, P. (2016). Marketing resources, performance, and competitive advantage: A review and future research directions. Journal of Business Research, 69(12), 5547–5552. https://doi.org/10.1016/j.jbusres.2016.04.169
  10. D'Oria, L., Crook, T. R., Ketchen, D. J., Sirmon, D. G., & Wright, M. (2021). The evolution of resource-based inquiry: A review and meta-analytic integration of the strategic resources–actions–performance pathway. Journal of Management, 47(6), 1383–1429. https://doi.org/10.1177/0149206321994182
  11. Endres, H., Helm, R., & Dowling, M. (2020). Linking the types of market knowledge sourcing with sensing capability and revenue growth: Evidence from industrial firms. Industrial Marketing Management, 90, 30–43. https://doi.org/10.1016/j.indmarman.2020.06.004
  12. Golovko, E., Lopes-Bento, C., & Sofka, W. (2022). Marketing learning by exporting – how export-induced marketing expenditures improve firm performance. Journal of Business Research, 150, 194–207. https://doi.org/10.1016/j.jbusres.2022.06.015
  13. Harlam, B. A., & Lodish, L. M. (1995). Modeling consumers' choices of multiple items. Journal of Marketing Research, 32(4), 404–418. https://doi.org/10.1177/002224379503200403
  14. Hossain, M. A., Agnihotri, R., Rushan, M. R., 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/10.1016/j.indmarman.2022.08.017
  15. Iyer, P., Davari, A., Srivastava, S., & Paswan, A. K. (2021). Market orientation, brand management processes and brand performance. Journal of Product & Brand Management, 30(2), 197–214. https://doi.org/10.1108/JPBM-08-2019-2530
  16. Jacobson, R. (1990). Unobservable effects and business performance. Marketing Science, 9(1), 74–85. https://doi.org/10.1287/mksc.9.1.74
  17. Jaisinghani, D., & Kanjilal, K. (2019). Marketing investments and firm performance in manufacturing sector: A panel threshold model for China. Journal of the Asia Pacific Economy, 24(1), 117–126. https://doi.org/10.1080/13547860.2018.1554617
  18. Jaisinghani, D., Kaur, H., Goyal, J., & Joshi, M. (2019). Marketing intensity and persistence of firm performance: Empirical evidence from Indonesia. International Journal of Productivity and Performance Management, 69(6), 1109–1127. https://doi.org/10.1108/IJPPM-02-2019-0072
  19. Jaiswal, K. S., & Singh, N. (2006). The paradigm shift in marketing- Case studies. Indian Journal of Marketing, 36(5). https://www.geosocindia.org/index.php/ijom/article/view/34319
  20. Jindal, N. (2020). The impact of advertising and R&D on bankruptcy survival: A double-edged sword. Journal of Marketing, 84(5), 22–40. https://doi.org/10.1177/0022242920936205
  21. Johnson, J., & Thomas, T. (2018). What is beautiful is good: An evaluation of effectiveness of attractiveness in celebrity endorsements. Indian Journal of Marketing, 48(8), 24–36. https://doi.org/10.17010/ijom/2018/v48/i8/130538
  22. Kim, M., & McAlister, L. M. (2011). Stock market reaction to unexpected growth in marketing expenditure: Negative for sales force, contingent on spending level for advertising. Journal of Marketing, 75(4), 68–85. https://doi.org/10.1509/jmkg.75.4.68
  23. Koenker, R., & Bassett, Jr., G. (1978). Regression quantiles. Econometrica, 46(1), 33–50. https://doi.org/10.2307/1913643
  24. Kwon, H.-B., Lee, J., & Choi, L. (2023). Exploring the synergy between R&D and advertising and firm performance: A neural network approach. Benchmarking: An International Journal, 30(5), 1672–1694. https://doi.org/10.1108/BIJ-11-2020-0605
  25. Markose, B., & Jayachandran, S. (2009). The relevance of personal selling in today's marketing scenario-A theoretical perspective. Indian Journal of Marketing, 39(7), 3–8. https://www.geosocindia.org/index.php/ijom/article/view/36996
  26. Markovitch, D. G., Huang, D., & Ye, P. (2020). Marketing intensity and firm performance: Contrasting the insights based on actual marketing expenditure and its SG&A proxy. Journal of Business Research, 118, 223–239. https://doi.org/10.1016/j.jbusres.2020.06.032
  27. Morgan, N. A., Feng, H., & Whitler, K. A. (2018). Marketing capabilities in international marketing. Journal of International Marketing, 26(1), 61–95. https://doi.org/10.1509/jim.17.0056
  28. Morgan, N. A., Slotegraaf, R. J., & Vorhies, D. W. (2009). Linking marketing capabilities with profit growth. International Journal of Research in Marketing, 26(4), 284–293. https://doi.org/10.1016/j.ijresmar.2009.06.005
  29. Pereira, V., & Bamel, U. (2021). Extending the resource and knowledge based view: A critical analysis into its theoretical evolution and future research directions. Journal of Business Research, 132, 557–570. https://doi.org/10.1016/j.jbusres.2021.04.021
  30. Prakash, R. (2008). The role of women in advertisements. Indian Journal of Marketing, 38(3), 3–6.
  31. Ramani, N., & Srinivasan, R. (2019). Effects of liberalization on incumbent firms' marketing-mix responses and performance: Evidence from a quasi-experiment. Journal of Marketing, 83(5), 97–114. https://doi.org/10.1177/0022242919860085
  32. Seifzadeh, M., Salehi, M., Abedini, B., & Ranjbar, M. H. (2021). The relationship between management characteristics and financial statement readability. EuroMed Journal of Business, 16(1), 108–126. https://doi.org/10.1108/EMJB-12-2019-0146
  33. Shashishekar, M. S., & Anand, S. (2019). The impact of proficiency of marketing activities and value proposition innovation on new intelligent products' performance. Indian Journal of Marketing, 49(12), 7–20. https://doi.org/10.17010/ijom/2019/v49/i12/149107
  34. Shetty, A., & Basri, S. (2017). Sales behavioral intentions of distribution channels in the insurance industry: A systematic review. Indian Journal of Marketing, 47(12), 19–35. https://doi.org/10.17010/ijom/2017/v47/i12/119899
  35. Tanwar, A. S., Chaudhry, H., & Srivastava, M. K. (2021). Influencer marketing as a tool of digital consumer engagement: A systematic literature review. Indian Journal of Marketing, 51(10), 27–42. https://doi.org/10.17010/ijom/2021/v51/i10/166439
  36. Vadakkepatt, G., Shankar, V., & Varadarajan, R. (2021). Should firms invest more in marketing or R&D to maintain sales leadership? An empirical analysis of sales leader firms. Journal of the Academy of Marketing Science, 49, 1088–1108. https://doi.org/10.1007/s11747-021-00774-2
  37. Yadav, M. (2017). Social media as a marketing tool: Opportunities and challenges. Indian Journal of Marketing, 47(3), 16–28. https://doi.org/10.17010/ijom/2017/v47/i3/111420
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