Volume 9, Issue 1 (5-2022)
Human Information Interaction 2022, 9(1): 60-71 |
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Mostaghel S, al-Bunaimi I, Paampi A, Asayesh4 F. Explain the Role of Customer Knowledge Interaction in Consumers' Pur-chase Intention with Information Behavior Approach. Human Information Interaction 2022; 9 (1)
URL: http://hii.khu.ac.ir/article-1-3019-en.html
URL: http://hii.khu.ac.ir/article-1-3019-en.html
Abstract: (3033 Views)
Objective: Purpose is to study the role of customer knowledge interaction and intention to buy consumers in the electrical industry with an information behavior approach.
Method: Develomental qualitative method was used. Population included experts in marketing and consumer behavior, especially in the electrical industry. Via targeted snowball method sample of 14 experts were selected for a semi-structured interview. Content analysis method based on data foundation theory was conducted. appropriate codes were assigned to different parts of the data and concepts were determined. In conclusion, through selective coding, the categories were refined and the main dimensions of the research emerged in the form of causal, pivotal, contextual, intervening, strategies, and consequences.
Findings: Findings disclosed that information behavior including: Knowledge for the customer, of the customer, about the customer, and personal characteristics as causal factors affect the behavioral tendencies of customers. Behavioral tendencies also make purchasing decisions. On the other hand, marketing factors - product, price, location, promotion and process management, as the prevailing context, affect the intention to buy. Also, environmental factors and internal capabilities of the company, in the form of intervening conditions, affect the intention to buy consumers in the electrical industry, which ultimately creates added value for the company and customers.
Conclusion: Results disclosed that customers behavioral tendencies are strongly influenced by their knowledge of electrical industries and products.
Method: Develomental qualitative method was used. Population included experts in marketing and consumer behavior, especially in the electrical industry. Via targeted snowball method sample of 14 experts were selected for a semi-structured interview. Content analysis method based on data foundation theory was conducted. appropriate codes were assigned to different parts of the data and concepts were determined. In conclusion, through selective coding, the categories were refined and the main dimensions of the research emerged in the form of causal, pivotal, contextual, intervening, strategies, and consequences.
Findings: Findings disclosed that information behavior including: Knowledge for the customer, of the customer, about the customer, and personal characteristics as causal factors affect the behavioral tendencies of customers. Behavioral tendencies also make purchasing decisions. On the other hand, marketing factors - product, price, location, promotion and process management, as the prevailing context, affect the intention to buy. Also, environmental factors and internal capabilities of the company, in the form of intervening conditions, affect the intention to buy consumers in the electrical industry, which ultimately creates added value for the company and customers.
Conclusion: Results disclosed that customers behavioral tendencies are strongly influenced by their knowledge of electrical industries and products.
Keywords: Customer Knowledge, Marketing, Purchasing Intention, Information Behavior, Value Added, Electrical Indus-tries.
References
1. Abdul Qader, I. K. (2008). "Intention to purchase electronic green products amongst lecturers: an empirical evidence" Master thesis, University Sanis Malaysia.
2. Ajzen, I. (2002). "Perceived behavioral control, self-efficacy, locus of control and the theory of planned behavior". Journal of Applied Social Psychology, 32(4), 665-683. [DOI:10.1111/j.1559-1816.2002.tb00236.x]
3. Arvola, A., Vassallo, M., & Dean, M. (2008). "Pre-dicting intentions to purchase organic food: the role of affective and moral attitudes in the theo-ry of planned behavior", Appetite, 50, 443-454. [DOI:10.1016/j.appet.2007.09.010] [PMID]
4. Beigzadeh, A. H., Askari, A., Naami, A., & Rousta, A. (2020). "Presenting a local model of guerrilla marketing in small and medium-sized businesses in Iran based on the theory of corporate infor-mation behavior". Journal of Human Infor-mation Interaction, 6(4), 50-64. (Persian)
5. Bigdeli, Z., & Pourmousavi, Z. (2018). "Investigat-ing the information-seeking behavior of every-day life and information environments of Arme-nians in Tehran". Journal of Human Infor-mation Interaction, 4(4), 52-63. (Persian)
6. Bock, G.W., Zmud, R.W., Kim. Y.G., & Lee, J.N. (2005). "Behavioral intention formation in Knowledge sharing: examine the roles of extrin-sic motivators, social-psychological forces, and organization climate". MIS Quarterly, 29(1), 87-111. [DOI:10.2307/25148669]
7. Chan, Y. K. (2001). "Determinants of Chinese consumers' green purchase behavior". Journal of Psychology and Marketing, 18(4): 389-413. [DOI:10.1002/mar.1013]
8. Chen, Q., Lu, Y., & Gong, Y. (Yale). Tang, Qing. (2018). "Why do users resist service organiza-tion's brand mobile apps? The force of barriers versus cross-channel synergy". International Journal of Information Management, Available online 22 November 2018, In press. [DOI:10.1016/j.ijinfomgt.2018.07.012]
9. Conner, M., & Armitage, C. J. (2013). "Extending of the theory planned behavior: A review and avenues for further research". J Appl Soc Psy-chol, 28 (15), 1429-1464. [DOI:10.1111/j.1559-1816.1998.tb01685.x]
10. Eftekhar, Z., Ziaee, S., & Sharif Moghadam, H. (2019). Information-seeking behaviors in Islamic sciences research: a case study in theological fields, Journal of Human Information Interac-tion, 5(5), 64-76. (Persian)
11. Fishbein, I. A. (1975). "Belief, attitude, intention, and behavior: An introduction to theory and re-search. Reading, MA: Addison-Wesley.
12. Fishbein, M., & Ajzen, I. (1975). "Belief, attitude, intention, and behavior: An introduction to theo-ry and research". Reading, MA: Addison-Wesley
13. Gibbert, H., Geib, M., Kolbe, L., & Riempp, G. (2005). "Towards Customer knowledge Man-agement and Knowledge management concepts. Research Report". Institute of Information management University of St.Gallen, Switzer-land.
14. Hendriks, P.H.J. (2001). "Many rivers to cross: from ICT to knowledge management systems". Journal of Information Technology, 16, 57-72. [DOI:10.1080/02683960110054799]
15. Heydari, G., Bigdeli, Z., Mokhtari, B., & Khademi, R. (2017). "Identification and analysis of busi-ness information behavior of companies located in Khuzestan Science and Technology Park: A qualitative study". Journal of Human Infor-mation Interaction, 4(2), 88-107. (Persian)
16. Johansson, A. E., Raddats, C., & Witell, L. (2019). "The role of customer knowledge development for incremental and radical service innovation in servitized manufacturers". Journal of Business Research, 98, 328-338. [DOI:10.1016/j.jbusres.2019.02.019]
17. Kim, J., Kim, M., Choi, J., & Trivedi, M. (2019). "Offline social interactions and online shopping demand: Does the degree of social interactions matter?" Journal of Business Research, 99, 373-381. [DOI:10.1016/j.jbusres.2017.09.022]
18. Kotler, P., & Keller, K. L. (2007). "Marketing Man-agement". 12th Ed., New Delhi: Prentice-Hall of India.
19. Liao, S., Chu, P., Chen, Y., & Chang, C. C. (2012). "Mining customer knowledge for exploring online group buying behavior". Expert Systems with Applications, 39(3), 3708-3716. [DOI:10.1016/j.eswa.2011.09.066]
20. Michael, C. (2003). "Customer knowledge man-agement" http://www. Businessqueens calkbe.
21. Mohammad Ismail, S., & Naimi, J. (2017). "Clus-tering and comparative study of information needs and information seeking behavior of scholars in the field and university of Khorasan Razavi province with the neural network algo-rithm Article". Journal of Human Information Interaction, 12, 90 - 103. (Persian)
22. Mousavi, A. (2013). "Estimation of Electricity Demand Function of Iranian Factory Indus-tries". Master Thesis in Economics, Sistan and Baluchestan University. (Persian)
23. Murillo, M., & Garcia, A. (2002): "Customer Knowledge Management". Journal of The Oper-ational Research Society. 53(8), 216-223. [DOI:10.1057/palgrave.jors.2601365]
24. Paquette, S. (2018). "Knowledge Management Systems and Customer Knowledge Use in Organ-izations". A thesis for the degree of Doctor of Philosophy, Faculty of Information Studies, University of Toronto, 9-40.
25. Peachey, T. A. (2006). "An examination of the effects culture, climatic, structure, and techno-logical on knowledge management effective-ness". Doctor of Philosophy Thesis for Auburn University, December 15.
26. Pookulangaro, S., Howley, J., & Xiao, G. (2011). "Explaining Consumers Channelswitching Be-havior Using the Theory of Planned Behavior". Journal of Relaiting and consumer Services, 18(4), 311-321. [DOI:10.1016/j.jretconser.2011.02.005]
27. Ramona, V. E. (2010). "Knowledge nanagement the key resource for become, Journal of Knowledge Management". Economics and In-formation Technology, 1(1), 79-84,.
28. Rollins, M., & Halinen, A. (2005). "Customer Knowledge Management Competence towards a Theoretical Framework". Peroceeding of the 38th, Hawaii International Conferenc on System Science. [DOI:10.1109/HICSS.2005.180]
29. Saloman, H., Dous, M., Kolbe, L., & Brnner, W. (2005). "Rejuvenating Customer Management How to Make Knowledge For, From and About Customers Work". European Management Jour-nal, 23(4), 156-168 [DOI:10.1016/j.emj.2005.06.009]
30. Soleimani Zadeh, R. (2016). "The Impact of Knowledge Management Measures on the Or-ganizational Performance of Sina Bank through Customer Knowledge". Master Thesis in Busi-ness Management, International Business, Is-lamic Azad University, Electronic Unit. (Persian)
31. Stafyla, A. (2003). "CRM and customer centric knowledge management: an empyreal research". Bisiness process management journal, 4(5), http://www.Em eraldinsight.Com/research regis-ter.
32. Sullivan, Y. W., & Kim, D. J. (2018). "Assessing the effects of consumers' product evaluations and trust on repurchase intention in e-commerce en-vironments". International Journal of Infor-mation Management, 39, 199-219. [DOI:10.1016/j.ijinfomgt.2017.12.008]
33. Wilson, T. D. (2000). "Human Information Behav-ior". Information Science. 3 (2); 49-65
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