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THE INFLUENCE OF EXPERIENTIAL MARKETING, SATISFACTION ON CUSTOMER LOYALTY: A STUDY ON THE HOTEL INDUSTRY IN INDONESIA Saehu, Muh. Syaiful; Efendi, Bahtiar; Wibowo, Teguh Setiawan; Nugraha, Aat Ruchiat
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 7 No 4 (2023): IJEBAR, Vol. 7 Issue 4, December 2023
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v7i4.11654

Abstract

This quantitative research investigates the relationship between Experiential Marketing (X1), Satisfaction (X2), and Customer Loyalty (Y) in the hotel industry. Data was collected through a questionnaire via goggle form with questions and statements related to the third variable. The research sample was selected based on hotels with a -+ 4 star rating. The data analysis method used multiple linear regression, T test, and F test using SPSS software. The research results revealed: 1). Experiential Marketing (X1) and Satisfaction (X2) have a significant positive influence on Customer Loyalty (Y) in multiple linear regression analysis. 2). The T test shows that both X1 and X2 separately have a significant effect on Customer Loyalty with the appropriate level of significance. 3). The results of the F test state that X1 and X2 together have a significant effect on Customer Loyalty. This research underscores the importance of creating engaging experiences for customers and ensuring their satisfaction to maintain and increase customer loyalty in the hotel industry. The implications of this research strengthen the role of these two variables in competition in the hotel industry and customer retention strategies.
BIG DATA ANALYSIS IN MARKETING DECISION MAKING INDUSTRIAL REVOLUTION ERA 4.0: CASE STUDY ON FASHION INDUSTRY IN INDONESIA Efendi, Bahtiar; Sitorus, Sunday Ade; Firdaus, Firdaus; Indrianti, Merita Ayu; Kraugusteeliana, Kraugusteeliana
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 8 No 1 (2024): IJEBAR : Vol. 8, Issue 1, March 2024
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v8i1.12886

Abstract

The Industrial Revolution 4.0 era has changed the landscape of the world of manufacturing and technology with the integration of digital technology, automation and sophisticated data communications. The fashion industry in Indonesia is also not immune from the major impact of these changes, especially in marketing decision making. Big data analysis is crucial in optimizing marketing strategies by understanding consumer preferences, market trends and competition. However, the use of big data also brings challenges, especially regarding the security and privacy of consumer data. This research adopts a qualitative method with a literature review approach to investigate the use of big data in marketing decision making in the Indonesian fashion industry. The research results show that big data plays an important role in customer segmentation, consumer behavior analysis, trend prediction, and product innovation. The benefits companies gain from implementing big data include deep understanding of consumer behavior, fast decision making, operational efficiency, better risk management, product and service innovation, improved customer experience, and dynamic price adjustments. However, the challenges faced include data security risks, personal identification risks, and compliance with global privacy regulations. Assessment of the readiness of Indonesian fashion industry companies to adopt big data involves evaluating technology infrastructure, data analysis skills, awareness of big data concepts, data security and privacy, understanding customer behavior, technology adoption, ability to process real-time data, budget availability, readiness for innovation, and acceptance of organizational culture. By considering these aspects, companies can evaluate the extent to which they are ready to integrate big data in marketing decision making to achieve success in the Industrial Revolution 4.0 era.
Co-Authors Aat Ruchiat Nugraha Agus Yudianto Ahadiyah, Latifatul Ahirotunisa, Suci Aini Rahayu Akbar, Muhamad Asif Maulana Alfizi, Alfizi Ali Mutafi Ali Salobar, Aditia Lade Amalia, Ika Asaliatun Amira Arazilla T Anam, Arif Khaerul Anggoro, Retno Anggraeni, Diana Annisa Zanjabila Irsan Arifin, Davit Arsadhana, Muhamad Ashshiddiqy, Muhammad Zain Ayu Wulandari Azka, M. Gilang Maulana Azzahra, Septiana Bachtiar, Alfan Bayu, Rahindra Candra Nurhayati, Eny Cemarawati, Nungki Darmawan, Zakaria Satrio Dhanias, Fitriana Rakhma Ernawati Ernawati Fauziah Ramadhani Firdaus Firdaus Furbani, Widiastuti Hafari, Narulita Hafitzah, Nur Hartiyah, Sri Heri Purwanto Hidayah, Attinia Hidayat, Akhmad Ma’ruf Hidayatullah, Muhammad Fendriansyah Hidayatunni’mah, Khusna Humairo, Calista Jarjayus, Muhammad Karimullah, Suud Sarim Kaukab, M. Elfan Khaeroman, Khaeroman Kholunnafiah, Ulya Kraugusteeliana Kraugusteeliana Kusdayanti, Niken Kusumastuti, Dinda Amelia Lailatul Munawaroh, Lailatul Lestari, Tiyas Puji Lidya Octavia Sitinjak Lini, Nahdia M. Trihudiyatmanto Maula, Muhammad Nafi' Maula, Nur Ishmatul Maulana Akbar, Muhamad Asif Maulana Azka, Muhammad Gilang Ma’ruf Amri Ma’ruf Amri1 Merita Ayu Indrianti Muhamad Asif Maulana Akbar Muslimawati, Naning Nabila, Shofiyyatun Nafitasari, Siti Dia Naifatun Irbah Ningsih, Tri Widyastuti Noor Hikmah, Noor Nugroho Hadi, Sugeng Nur Faizah, Yuniar Laeli Nurhayati, Eni Candra Nuruzzaman, Muhammad Efrizal Zahid Pamungkas, Alfin Setia Pangestuti, Anni Enggal Prakarsa, Bagus Purnama, Satria Sa'ban Purnama, Yayan Yudha Putri Nahdly Purba Putri, Armelia Army Rino Subekti Rizkiyadi, Dicky Romandhon, Romandhon RR. Aryanti Kristantini Sabila, Asfyani Maiza Saehu, Muh. Syaiful Sarrono, Jimi Sattar Sattar, Sattar Sekar Indah Tri Dewi Setiawan, Anggun Siti Nur Aisah Sitorus, Sunday Ade Sofiyanti, Lilis Sri Wulandari Sunday Ade Sitorus Suntiah, Suntiah Suprapti, Fitri Supriyono Supriyono Susanti Susanti Susanti, Maulida Rahma Susanto Susanto Sylvatri, Hapsari Dian Tiyono, Tito Triola Chairunnisa Umami, Siti Fithrotul Utami, Farida Riza Wibowo, Teguh Setiawan Winarni, Endra Zariroh, Fairuzza Arza