A BUSINESS INTELLIGENCE STRUCTURAL EQUATION MODEL ON MEASURING THE RELATIONSHIP BETWEEN CUSTOMER INTELLIGENCE, MARKETING INTELLIGENCE, AND EMPLOYEE INTELLIGENCE, AND ITS EFFECT ON OPERATIONAL PERFORMANCE OF ORGANISATION

Authors

  • Geetha N School of Business, VIT-AP University, Andhra Pradesh, India.
  • U M Gopal Krishna School of Business, VIT-AP University, Andhra Pradesh, India.

DOI:

https://doi.org/10.29121/shodhkosh.v5.i1.2024.3144

Keywords:

Business Intelligence, Customer Intelligence, Marketing Intelligence, Employee Intelligence

Abstract [English]

Integration of enterprise applications in real-time represents a new data management challenge for businesses with a large number of direct customers. This challenge arises as a result of the proliferation of channel-oriented applications, such as e-commerce support and call center support, among other examples. A growing number of companies are implementing Business Intelligence (BI) systems and tools in order to gain insight from the past and make accurate projections about the future. Companies have realised the importance of utilising business intelligence concepts like Customer Intelligence, Marketing Intelligence, and Employee Intelligence to ensure the achievement of the objectives outlined in their business strategies. Examining the business requirements provides insights into the role and necessity of real-time BI. The paper investigates the “relationship between the customer intelligence, marketing intelligence, employee intelligence and its impact on operational performance”.

References

Nguyen Anh Khoa Dam, Thang Le Dinh, and William Menvielle (2022)” The Quest for Customer Intelligence to Support Marketing Decisions: A Knowledge-Based Framework”, Vietnam Journal of Computer Science,Vol. 9, No. 3 (2022) 349–368; DOI:10.1142/S2196888822500208349. DOI: https://doi.org/10.1142/S2196888822500208

Nguyen Anh Khoa Dam, Thang Le Dinh, and William Menvielle ;(2021)” Towards a Conceptual Framework for Customer Intelligence in the Era of Big Da”, International Journal of Intelligent Information Technologies (IJIIT)17(4);|Volume: 17 |Issue: 4 |Article: 4 |Pages: 17; ISSN: 1548-3657 DOI: https://doi.org/10.4018/IJIIT.289968

Firman Pradana Rachman, Handri Santoso, Arko Djajadi (2021),” Machine Learning Mini Batch K-means and Business Intelligence Utilization for Credit Card Customer Segmentation”, International Journal of Advanced Computer Science and Applications(IJACSA), DOI: 10.14569/IJACSA.2021.0121024.

Kok-Lim Alvin Yau1,Norizan Mat Saad2 andYung-Wey Chong 3,*(2021)” Artificial Intelligence Marketing (AIM) for Enhancing Customer Relationships”, Applied Science,https://doi.org/10.3390/app11188562. DOI: https://doi.org/10.3390/app11188562

Célia M. Q. Ramos(2020),” Business Intelligence Approach and Sentiment Analysis as a Management Strategy Applied to Study Customer Satisfaction in the Hospitality Sector” Advances in Tourism, Technology and System, DOI: 10.1007/978-981-16-9701-2_44. DOI: https://doi.org/10.1007/978-981-16-9701-2_44

Li, RC (Li, R. C.) [1] ; Tee, ML (Tee, M. L.) [1];(2022)” Developing an Implementation Framework for Automated Customer Support Service in Collaborative Customer Relationship Management Systems” International Conference On Industrial Engineering And Engineering Management (Ieee Ieem21), Page 1092-1096; Doi:10.1109/Ieem50564.2021.9672894 DOI: https://doi.org/10.1109/IEEM50564.2021.9672894

Yang, X (Yang, Xue) [1];(2023) “The effects of AI service quality and AI function-customer ability fit on customer's overall co-creation experience”, Industrial Management & Data Systems, DOI:10.1108/IMDS-08-2022-0500. DOI: https://doi.org/10.1108/IMDS-08-2022-0500

Pustokhina, IV (V. Pustokhina, Irina) [1] ; Pustokhin, DA (Pustokhin, Denis A.) [2] ; Aswathy, RH (Aswathy, R. H.) [3] ; Jayasankar, T (Jayasankar, T.) [4] ; Jeyalakshmi, C (Jeyalakshmi, C.) [5] ; Diaz, VG (Diaz, Vicente Garcia) [6] ; Shankar, K (Shankar, K.) [7](2021),” Dynamic customer churn prediction strategy for business intelligence using text analytics with evolutionary optimization

Algorithms”,Information Processing &Management, Volume:58; Issue:6; DOI: 10.1016/j.ipm.2021.102706. DOI: https://doi.org/10.1016/j.ipm.2021.102706

Gunesen, SN (Gunesen, S. Nazli) [1] ; Sen, N (Sen, Necip) [1] ; Yildirim, N (Yildirim, Nihan) [1] ; Kaya, T (Kaya, Tolga) [1](2022),”Customer Churn Prediction in FMCG Sector Using Machine Learning Application”,Advances in Information and Communication Technology;Volume:614;Page:82-103;DOI:10.1007/978-3-030-80847-1_6. DOI: https://doi.org/10.1007/978-3-030-80847-1_6

Sanaullah, A (Sanaullah, Asif) [1] , [2] ; Fatema, N (Fatema, Nuzhat) [1] , [2] ; Ather, M (Ather, Muhammad) [1] , [5] ; Sanaullah, A (Sanaullah, Arif) [4] ; Malik, H (Malik, H.) [3](2022),”Analyzing impact of relationship benefit and commitment on developing loyalty using machine intelligence approach”,Journal Of Intelligent & Fuzzy Systems,Volume42,Issue2,Page:699-712;DOI:10.3233/JIFS-189742. DOI: https://doi.org/10.3233/JIFS-189742

Lies, J (Lies, Jan) [1](2022),” Marketing Intelligence: Boom or Bust of Service Marketing?”,International Journal Of Interactive Multimedia And Artificial Intelligence,Volume7,Issue7,Page115-124;DOI:10.9781/ijimai.2022.10.001 DOI: https://doi.org/10.9781/ijimai.2022.10.001

Robertson, J (Robertson, Jeandri) [1] , [2] ; Ferreira, C (Ferreira, Caitlin) [1] , [2] , “ Paschen, J (Paschen, Jeannette) [3](2021)Reading Between the Lines: Understanding Customer Experience With Disruptive Technology Through Online Reviews”, Australasian Marketing Journal, DOI:10.1177/1839334921999487 DOI: https://doi.org/10.1177/1839334921999487

Yeni, F (Yeni, Fitri) [1] , [2] ; Mulyani, SR (Mulyani, Sitti Rizki) [1] ; Susriyanti, S (Susriyanti, Susriyanti) [1](2021),”Islamic financial literacy, spiritual intelligence, public perception and behaviour on public interest in Islamic banking services”,Cogent Economics & Finance,DOI:10.1080/23322039.2023.2175470. DOI: https://doi.org/10.1080/23322039.2023.2175470

Chen, H (Chen, Huan) [1] ; Chan-Olmsted, S (Chan-Olmsted, Slyvia ) [1] ; Kim, J (Kim, Julia) [1] ; Sanabria, IM (Mayor Sanabria, Irene) [1](2021),” Consumers' perception on artificial intelligence applications in marketing communication”, Qualitative Market Research,DOI:10.1108/QMR-03-2021-0040. DOI: https://doi.org/10.1108/QMR-03-2021-0040

Olan, F (Olan, Femi) [1] ; Suklan, J (Suklan, Jana) [2] ; Arakpogun, EO (Arakpogun, Emmanuel Ogiemwonyi) [1] ; Robson, A (Robson, Andrew) [1](2021),”Advancing Consumer Behavior: The Role of Artificial Intelligence Technologies and Knowledge Sharing”,IEEE Transactions On Engineering Management,DOI:10.1109/TEM.2021.3083536 DOI: https://doi.org/10.1109/TEM.2021.3083536

Xiong, Y (Xiong, Ying) [1](2022),” The Impact of Artificial Intelligence and Digital Economy Consumer Online Shopping Behavior on Market Changes Discrete Dynamics In Nature And Society” DOI:10.1155/2022/9772416. DOI: https://doi.org/10.1155/2022/9772416

Ebrahimi, P (Ebrahimi, Pejman) [1] ; Hamza, KA (Hamza, Khadija Aya) [1] ; Gorgenyi-Hegyes, E (Gorgenyi-Hegyes, Eva) [1] ; Zarea, H (Zarea, Hadi) [2] ; Fekete-Farkas, M (Fekete-Farkas, Maria) [3]; (2021),”Consumer Knowledge Sharing Behavior and Consumer Purchase Behavior”, Evidence from E-Commerce and Online Retail in Hungary;Sustainability,DOI:10.3390/su131810375. DOI: https://doi.org/10.3390/su131810375

Rachman, FP (Rachman, Firman Pradana) [1] ; Santoso, H (Santoso, Handri) [1] ; Djajadi, A (Djajadi, Arko) [1](2021),”Machine Learning Mini Batch K-means and Business Intelligence Utilization for Credit Card Customer Segmentation”, International Journal Of Advanced Computer Science And Applications,Volume12,Issue10,Page218-227 DOI: https://doi.org/10.14569/IJACSA.2021.0121024

Rahmawaty, A (Rahmawaty, Anita) [1] ; Rokhman, W (Rokhman, Wahibur) [1] ; Bawono, A (Bawono, Anton) [1] ; Irkhami, N (Irkhami, Nafis) [1](2021),”EmployeeIntelligence, Spiritual Intelligence And Employee Performance: The Mediating Role Of Communication Competence”, International Journal Of Business And Society,DOI:10.33736/ijbs.3754.2021. DOI: https://doi.org/10.33736/ijbs.3754.2021

Febrina, SC (Febrina, Sindy Cahya) [1] , [2] ; Astuti, W (Astuti, Widji) [3] ; Triatmanto, B (Triatmanto, Boge) [3];(2021),” The Impact of Organizational Culture and EmployeeIntelligence on Employee Performance: An Empirical Study from Indonesia”, Journal Of Asian Finance Economics And Business,DOI:10.13106/jafeb.2021.vol8.no11.0285

Oyewunmi, AE (Oyewunmi, Adebukola E.) [1] ; Esho, E (Esho, Ebes) [2] ; Oyewunmi, OA (Oyewunmi, Olabode A.) [1] (2021),”Spiritual Intelligence and Employee Outcomes in an African Sample”, Journal Of Management Spirituality & Religion,DOI:10.51327/ZPON7247. DOI: https://doi.org/10.51327/ZPDN7247

Iftikhar, M (Iftikhar, Mehwish) [1] ; Qureshi, MI (Qureshi, Muhammad Imran) [2] ; Qayyum, S (Qayyum, Shazia) [3] ; Fatima, I (Fatima, Iram) [3] ; Sriyanto, S (Sriyanto, Sriyanto) [4] ; Indrianti, Y (Indrianti, Yasinta) [5] ; Khan, A (Khan, Aqeel) [6] ; Dana, LP (Dana, Leo-Paul) [7](2021),”Impact of Multifaceted Workplace Bullying on the Relationships between Technology Usage, Organisational Climate and Employee Physical and Employee Health”, International Journal Of Environmental Research And Public Health,DOI:10.3390/ijerph18063207. DOI: https://doi.org/10.3390/ijerph18063207

Wati, E (Wati, Enny) [1] ; Sarita, B (Sarita, Buyung) [1] ; Zaid, S (Zaid, Sudirman) [1] ; Maharani, S (Maharani, Sriwiati) [1](2023) ,” Workplace Spirituality And Its Influence On Organizational Commitment And Employee Performance Of The Employees Of The Southeast Sulawesi Provincial Government With Employee Intelligence As The Moderating Variable”, Quality-Access To Success,DOI:10.47750/QAS/24.192.14. DOI: https://doi.org/10.47750/QAS/24.192.14

Malik, S (Malik, Shehla) [1] (2022),” Employee intelligence and innovative work behaviour in knowledge-intensive organizations: how tacit knowledge sharing acts as a mediator? ,“Journal of information and knowledge Management system,DOI10.1108/VJIKMS-09-2020-0158. DOI: https://doi.org/10.1108/VJIKMS-09-2020-0158

Jena, LK (Jena, Lalatendu Kesari) [1] (2022),” Does workplace spirituality lead to raising employee performance? The role of citizenship behavior and employeeintelligence”, International Journal of Organisation Analysis, DOI:10.1108/IJOA-06-2020-2279. DOI: https://doi.org/10.1108/IJOA-06-2020-2279

Le Dinh, T., Dam, N. A. K., El Ourabi, H., Menvielle, W., Trespeuch, L., & Zouiten, S. (2024). Customer Intelligence in the Cultural Sector: The Case of a Quebec Museum. In ITM Web of Conferences (Vol. 66, p. 01003). EDP Sciences. DOI: https://doi.org/10.1051/itmconf/20246601003

Sukhragchaa, A (Sukhragchaa, Amarjargal) [1] ; Munkhuu, B (Munkhuu, Bilegsaikhan) [1] ; Badarch, L (Badarch, Lkhamtseden) [2](2022),” Impact Of Hotel Employee's Employee Intelligence On EmployeeLabor And Job Satisfaction”,Jurnal Ilmiah Peuradeun,DOI:10.26811/peuradeun.v9i3.622. DOI: https://doi.org/10.26811/peuradeun.v9i3.622

Alferaih, A (Alferaih, Adel) [1](2021)” How does employee intelligence improve employee satisfaction and performance with mediating effect of employee engagement? Perspective from Saudi Arabian private companies”,International Journal Of Advanced And Applied Sciences,DOI:10.21833/ijaas.2021.08.011. DOI: https://doi.org/10.21833/ijaas.2021.08.011

George Sunil D'Souza, Francis Gnanasekar Irudayasamy, Satyanarayana Parayitam (2022) “Employeeexhaustion, employee intelligence and task performance of employees in educational institutions during COVID 19 global pandemic: a moderated-mediation model”, ISSN: 0048-3486. DOI: https://doi.org/10.1108/PR-03-2021-0215

Suharsiwi1, Budi Imanto2, Indro Nugroho3*(2023),” Determination of Workforce Cultural Diversity, Competence, And Employee Employee Intelligence on Teamwork With Motivation As An Intervening Variable”, ISSN: 0044-0477.

panelDexiang Yin a, Minglong Li b, Hailian Qiu c, Billy Bai d, Lili Zhou b (2023)”When the services cape becomes intelligent: Conceptualization, assessment, and implications for hospitableness”, Journal of Hospitality and Tourism Management, https://doi.org/10.1016/j.jhtm.2023.01.001. DOI: https://doi.org/10.1016/j.jhtm.2023.01.001

Sérgio Dominique-Ferreira, Helena Gomes, Pedro Quelhas Brito & Catherine Prentice (2023) “Exploring the Role of Employee Intelligence and Artificial Intelligence on Luxury Value and Customer-Based Outcomes”, Perspectives and Trends in Education and Technology, DOI: 10.1007/978-981-19-6585-2_48. DOI: https://doi.org/10.1007/978-981-19-6585-2_48

Abu Bakar, H., & Connaughton, S. L. (2022),” Ethical leadership, perceived leader–member ethical communication and organizational citizenship behavior: development and validation of a multilevel model”, Leadership & Organization Development Journal, 43(1), 96–110. https://doi.org/10.1108/LODJ-07-2021-0356. DOI: https://doi.org/10.1108/LODJ-07-2021-0356

Krishna, U. M. G., & Deepthi, S. (2024). Entrepreneurship empowers women. 7TH INTERNATIONAL CONFERENCE ON https://dx.doi.org/10.29121/shodhkosh.v5.i1.2024.3144 DOI: https://doi.org/10.1063/5.0196176

https://dx.doi.org/10.29121/shodhkosh.v5.i1.2024.3144 DOI: https://doi.org/10.29121/shodhkosh.v5.i1.2024.3144

Mukella, G. K. U., Guddeti, K. K. R., & Kodamanchill, S. J. I. (2024). Applications of green banking practices. 7TH INTERNATIONAL CONFERENCE ON NANOSCIENCE AND NANOTECHNOLOGY. https://doi.org/10.1063/5.0196177 DOI: https://doi.org/10.1063/5.0196177

Prathyusha, P., Madhavi, B., Velpula, T., Sujatha, M., & Krishna, U. M. G. (2024). Digital security for securing private information. 7TH INTERNATIONAL CONFERENCE ON NANOSCIENCE AND NANOTECHNOLOGY. ) https://dx.doi.org/10.29121/shodhkosh.v5.i1.2024.3144 DOI: https://doi.org/10.1063/5.0196453

Bhimavarapu, A., and Krishna, U.G.(2024). Fragmented Lives: Exploring The Inner Worlds of Gig Workers, ShodhKosh: Journal of Visual and Performing Arts, 5(1), 957–963, DOI: https://doi.org/10.29121/shodhkosh.v5.i1.2024.2449. DOI: https://doi.org/10.29121/shodhkosh.v5.i1.2024.2449

Sri Vardhan, Y. S. D. S., Krishna, U. M. G., Tejaswini, I., Samuel Johnson Israel, K., & Prathyusha, P. (2024). Effects of business intelligence tools on financial performance of it industry. 7TH INTERNATIONAL CONFERENCE ON https://dx.doi.org/10.29121/shodhkosh.v5.i1.2024.3144 DOI: https://doi.org/10.1063/5.0196170

Sruthi, M., Sravanthi, T., Shaik, M. A., Padmaja, C., & Krishna, U. M. G. (2024). Predicting natural increase of water level https://dx.doi.org/10.29121/shodhkosh.v5.i1.2024.3144 DOI: https://doi.org/10.1063/5.0195782

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Published

2024-06-30

How to Cite

N, G., & U M, G. K. (2024). A BUSINESS INTELLIGENCE STRUCTURAL EQUATION MODEL ON MEASURING THE RELATIONSHIP BETWEEN CUSTOMER INTELLIGENCE, MARKETING INTELLIGENCE, AND EMPLOYEE INTELLIGENCE, AND ITS EFFECT ON OPERATIONAL PERFORMANCE OF ORGANISATION. ShodhKosh: Journal of Visual and Performing Arts, 5(1), 2912–2922. https://doi.org/10.29121/shodhkosh.v5.i1.2024.3144