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All Journal Innovative: Journal Of Social Science Research Management Studies and Business Journal
Asrori, Ali
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Public Health Other

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Strategi Promosi Dalam Meningkatkan Jumlah Pelanggan Pada PT Cakrawala Putra Bersama Di Banjarmasin Asrori, Ali; Hariandi, Chandra
Innovative: Journal Of Social Science Research Vol. 5 No. 1 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i1.18246

Abstract

Penelitian ini bertujuan untuk mengetahui peranan promosi terhadap peningkatan jumlah pelanggan pada PT. Cakrawala Putra Bersama di Banjarmasin dan jenis promosi apa yang dapat meningkatkan jumlah konsumen/pelanggan dalam sebuah perusahaan. Metode yang digunakan dalam penelitian ini adalah metode deskriptif kualitatif yang bertujuan menggambarkan sifat sesuatu yang tengah berlangsung pada saat riset dilakukan untuk memeriksa sebab-sebab dari suatu gejala tertentu. Dari hasil penelitian ini menunjukkan bahwa promosi berperan sangat penting dalam meningkatkan keuntungan bagi sebuah perusahaan terutama terhadap pelanggan. Dengan aktifnya kegiatan promosi yang perusahaan lakukan maka terciptanya keuntungan bagi perusahaan itu sendiri, namun demikian sebaliknya jika perusahaan kurang aktif dalam berpromosi maka kemungkinan dapat menimbulkan suatu kerugian bagi perusahaan tersebut.
THE ROLE OF AI POWERED PERSONALIZATION IN ENHANCING CUSTOMER EXPERIENCE: A CROSS-INDUSTRY ANALYSIS Hariandi, Chandra; Asrori, Ali
Management Studies and Business Journal (PRODUCTIVITY) Vol. 2 No. 5 (2025): Management Studies and Business Journal (PRODUCTIVITY)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/hsq08t49

Abstract

The rapid adoption of Artificial Intelligence (AI) has transformed customer experience (CX) strategies across industries, shifting from generalized approaches to data-driven personalization. While AI-based personalization has shown positive impacts, most existing studies are sector-specific, limiting comprehensive understanding across different industry contexts. This study conducts a narrative review to explore and compare the influence of AI-powered personalization on key CX dimensions—such as satisfaction, trust, engagement, and loyalty—across retail, banking, healthcare, and hospitality sectors. A systematic literature search (2015–2025) was performed using Scopus, Web of Science, and Google Scholar. Findings reveal significant improvements in CX across sectors, particularly through AI-driven recommendation systems, chatbots, and behavioral personalization. However, ethical concerns, data privacy, and algorithmic bias remain persistent challenges, especially in sensitive sectors like healthcare. The study highlights the importance of adopting a contextual and ethically grounded personalization strategy tailored to each industry's characteristics and customer expectations. This review contributes to the theoretical integration of AI personalization and CX literature, and offers practical guidance for developing responsible, sector-specific AI strategies that enhance customer value.
THE ROLE OF AI POWERED PERSONALIZATION IN ENHANCING CUSTOMER EXPERIENCE: A CROSS INDUSTRY ANALYSIS Hariandi, Chandra; Asrori, Ali
Management Studies and Business Journal (PRODUCTIVITY) Vol. 2 No. 6 (2025): Management Studies and Business Journal (PRODUCTIVITY)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/v7s2bj50

Abstract

Artificial intelligence (AI) has rapidly reshaped marketing, with over 74% of global marketers expected to adopt AI by 2025. Among its most transformative uses is AI-powered personalization, which can increase customer loyalty by 20% and retention by 19%. However, most studies remain limited to single industries, overlooking cross-sectoral differences in adoption, effectiveness, and customer expectations. This study analyzes how AI personalization influences customer experience across industries, identifies moderating contextual factors, and proposes best practices. Using a narrative review approach, literature from major databases (2015–2025) was examined through thematic synthesis and conceptual mapping. Findings show that AI personalization enhances emotional and behavioral responses and perceived effectiveness. Its impact, however, varies by sector—driven by differences in technology infrastructure, customer needs, and data regulations. AI personalization holds significant potential but requires context-sensitive implementation tailored to industry-specific challenges and expectations.
Examining the Influence of Organizational Change Management Strategies on Employee Resistance and Adaptation Asrori, Ali
Management Studies and Business Journal (PRODUCTIVITY) Vol. 1 No. 3 (2024): Management Studies and Business Journal (PRODUCTIVITY)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/x65khh38

Abstract

This research aims to explore the factors that influence employee adaptation to organizational change. Using a systematic literature review approach, we analyzed various individual factors and organizational strategies that have the potential to influence employee adaptation levels. The results of our analysis identified several key factors including age, education, personality, change strategy, quality of communication, social support, and level of ambiguity. Apart from that, this research also proposes a research framework that can be the basis for further research in understanding the dynamics of employee adaptation in the context of organizational change.
Co-Authors Hariandi, Chandra