Employing marketing mix to increase the efficiency of CRM within organic products marketers in Jordan
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Received May 9, 2019;Accepted June 11, 2019;Published June 25, 2019
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Author(s)Link to ORCID Index: https://orcid.org/0000-0003-2464-8162
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DOIhttp://dx.doi.org/10.21511/im.15(2).2019.07
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Article InfoVolume 15 2019, Issue #2, pp. 84-95
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Cited by2 articlesJournal title: Frontiers in Sustainable Food SystemsArticle title: The role of marketing stimuli and attitude in determining post-COVID buying decisions toward organic food products: evidence from retail consumers in Beijing, ChinaDOI: 10.3389/fsufs.2023.1051696Volume: 7 / Issue: / First page: / Year: 2023Contributors: Yuling Jiang, Siti Intan Nurdiana Wong Abdullah, Bernard Heng Jit Lim, Ruiyun Wang, Kit Teng PhuahJournal title: Journal of Enterprise and Business IntelligenceArticle title: Customer Relationship Management in an Era of Digital Disruption and Business Model EvolutionDOI: 10.53759/5181/JEBI202303001Volume: / Issue: / First page: 1 / Year: 2023Contributors: Kazuo Adachi, Ryo Sato
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Marketing mix appeared to be one of the most influential approaches on the marketing plans in the organizations. The current study seeks to examine the influence of marketing mix (4Ps – promotion, price, place and product) on the efficiency of CRM (responsiveness, empathy, customer relations, assurance and reliability) within the organic products market in Jordan. The researcher employed the quantitative approach through distributing a questionnaire on total of 37 individuals who were involved in the marketing field of organic products. The results of the study indicated that marketing mix appeared to have an influence of the efficiency of CRM practices within the marketing of organic goods in Jordan. The most influential variable appeared to be the price, which is considered to be high for organic product in Jordan, and that is why customer tend to avoid such product. Following the price came the variable of product, which was important as customers tend to give much emphasis on the specifications of the product and the fact that it is healthy and organic tends to appeal them regardless of the price. The study recommended increasing the level of awareness regarding organic products marketing strategies among the marketing managers in Jordan.
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JEL Classification (Paper profile tab)M31
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References36
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Tables17
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Figures1
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- Figure 1. Model of the study
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- Table 1. Sample characteristics according to gender
- Table 2. Sample characteristics according to experience
- Table 3. Sample characteristics according to position
- Table 4. Descriptive statistics of study variables
- Table 5. Model summary
- Table 6. ANOVA
- Table 7. Model summary
- Table 8. ANOVA
- Table 9. Model summary
- Table 10. ANOVA
- Table 11. Model summary
- Table 12. ANOVA
- Table 13. Model summary
- Table 14. ANOVA
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- Table 16. ANOVA
- Table 17. Reliability statistics
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The impact of artificial intelligence on commercial management
Renato Costa , Álvaro Dias , Leandro Pereira , José Santos , André Capelo doi: http://dx.doi.org/10.21511/ppm.17(4).2019.36Problems and Perspectives in Management Volume 17, 2019 Issue #4 pp. 441-452 Views: 1710 Downloads: 323 TO CITE АНОТАЦІЯThe essence of this research is to shed light on use and importance of artificial intelligence (AI) in commercial activity. As such, the objective of the present study is to understand the impact of AI tools on the development of business functions and if they can be affirmed as a means of help or as a substitute for these functions. In-depth interviews were conducted with 15 commercial managers from technological SMEs. The results indicate that all the participants use AI systems frequently, that these tools assist in developing of their functions, allowing having more time and better preparing to solve the commercial problems. The findings also indicate that the tools used by commercials are still somewhat limited, and companies should focus on their training and development in AI, as well as the training of their commercials. Furthermore, the results show that firms intend to use the data collection and the analytical tool that enable real-time response and customization according to customer needs.
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