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Revisiting Green Marketing Implementation in Halal Cosmetic Brands Ika Diyah Candra Arifah
al-Uqud : Journal of Islamic Economics Vol. 4 No. 2 (2020): July
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (494.586 KB) | DOI: 10.26740/al-uqud.v4n2.p285-306

Abstract

The growing green consumer who selecting products that socially and environmentally ethical products, encourages cosmetics producers in Indonesia to produce more environmentally friendly product in terms of materials, ingredients, packaging, and even the strategy to promote it. As this market segment continues to grow and develop, cosmetics manufacturers are required to be more competitive by applying green marketing values. Therefore, this study aims to investigate how halal cosmetic brands applying green marketing based on the concept of green marketing strategy and Islamic Marketing Ethics (IME). This case study uses a qualitative research approach that selecting four top halal cosmetic brands that marketed in Indonesia. Data was analyzed by data triangulation and method triangulation approach and presented in inductive summary. The results of the study concluded that among the top four halal cosmetics brands studied, two brands had implemented the concept of green marketing strategy and implementation comprehensively (shaded green and extreme green), while the other two brands applied lean green and defensive marketing strategy and implementation. The implication of this research is to provide suggestion to managerial marketing about how to create a more captivating halal products for all customers. The novelty of research proposes how is the level of Indonesian halal cosmetic brands green strategy that applying Islamic Marketing Ethics (IME).
The Impact of Internet-Based Corporate Governance Sharia (IBCGS) Rating on Shareholders Trust in Jakarta Islamic Index Companies Ulil Hartono; Musdholifah Musdholifah; Ika Diyah Candra Arifah; Riska Dhenabayu; Trias Madanika Kusumaningrum
al-Uqud : Journal of Islamic Economics Vol. 5 No. 2 (2021): July
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (490.507 KB) | DOI: 10.26740/aluqud.v5n2.p327-344

Abstract

The purpose of this research is to present the quality measurement of internet-based Islamic corporate governance and identify its effects on stakeholder trust. In measuring the implementation of corporate governance, this study uses the method of measuring the quality of Islamic corporate governance (IBCGS), as the development of IBCG and IBCG Rating Modified. This research uses descriptive exploratory analysis tools with PLS-SEM as the statistical tool. The object of this research is a company registered in the Jakarta Islamic Index (JII). The results showed that the implementation of corporate governance based on IBCGS by sample companies had been implemented but with varying quality. Meanwhile, the implementation of corporate governance in sharia companies positively influences shareholder trust manifested by their return on equity, stock returns and earnings per share. The findings of this study are expected to contribute to the signalling theory and agency theory in explaining the influence of the quality of corporate governance on the shareholder trust that should be concerned by sharia companies.
PENINGKATAN PANGSA PASAR UMKM BATIK MELALUI OPTIMALISASI PEMASARAN DIGITAL BERBASIS WEB Ulil Hartono; Anang Kistyanto; Fandi Fatoni; Yuyun Isbanah; Ika Diyah Candra Arifah
Jurnal Abdi Insani Vol 9 No 2 (2022): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v9i2.540

Abstract

The business continuity of MSME entrepreneurs is affected by the COVID-19 pandemic, especially those engaged in batik fashion, where fashion shows or exhibitions are cancelled. To support batik entrepreneurs, product and technology innovations that adapt to market conditions are needed. In order to increase sales of batik fashion in the pandemic era through digitalization, an appropriate marketing strategy is needed to increase technological literacy that has a positive impact on increasing market share.This community service activity aims to analyze and implement strategies to increase the market share of batik MSMEs through optimizing web-based digital marketing. This type of community service is field research with a qualitative descriptive approach. The method of data collection was carried out by survey and observation methods. The implementation of the training uses tutorial and lecture techniques. The implementation of community service is carried out in 4 stages, namely the identification of batik UMKM partner problems, formulation of partner problem solutions, providing e-commerce training in the form of e-commerce web design training and content creation, and evaluation and assistance in the form of partner understanding and satisfaction surveys. SMEs in Kampung Batik Lemahputro, Sidoarjo have implemented several forms of web-based marketing applications into their businesses, but their level of use is limited to basic marketing applications such as e-mail and static websites. However, MSMEs already have a moderate understanding of the benefits of web-based marketing and more than 50 percent of SMEs indicated that they are aware that web-based marketing can improve overall performance and profitability.
JOB REPLACEMENT ARTIFICAL INTELLIGENCE DI INDUSTRI JASA: TINJAUAN PUSTAKA SISTEMATIS Ika Diyah Candra Arifah; Mahaning Indrawaty Wijaya; Silviana Mar'atus Sholihah
Jurnal Ilmu Manajemen Vol. 10 No. 3 (2022)
Publisher : UNESA In Collaboration With APSMBI (Aliansi Program Studi dan Bisnis Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (682.088 KB) | DOI: 10.26740/jim.v10n3.p911-929

Abstract

By performing a variety of activities, artificial intelligence (AI) is increasingly altering the service industry, providing a key source of innovation while jeopardizing human jobs. This double-edged effect is considered by the theory of AI job replacement. The idea provides four business intelligences necessary for service jobs — mechanical, analytical, intuitive, and empathic — and outlines how businesses should choose between humans and technology to complete these tasks. This study aims to describe how artificial intelligence (AI) is replacing human labour in the service industry and the sorts of business intelligence that AI will replace. Data from Scopus journal articles published between 2011 and 2021 will be analysed in a thorough literature review. VOS Viewer 1.6.17 was used to map and cluster (SLNA) the literatures collected over the last 10 years using Publish and Perish software. The network analysis of these articles showed keyword co-occurrence networks. According to the findings of the study, AI job replacement happens at the job level. First, AI augments a service job's work, a transitional stage known as augmentation, before eventually taking over all of a job's functions and eliminating the need for human labour. This study enrich the body of knowledge about the human resource management in industrial revolution and practical knowledge about talent management which suggest the service workers about the advancement of AI task substitution from low to high intelligence which has a predictable effect on their roles. Artificial Intelligence (AI) is gradually displacing human analytical skills, but the necessity of intuitive and empathic skills for service professionals is increasing, therefore new approaches of human–machine interaction are still required for delivering service excellence.
PENGARUH BEBAN KERJA TERHADAP KINERJA KARYAWAN MELALUI PERILAKU CYBERLOAFING Zidan Sundavalensa Rahmani; Muhammad Fajar Wahyudi Rahman; Ika Diyah Candra Arifah; Achmad Kaustar
Journal of Economic, Bussines and Accounting (COSTING) Vol. 9 No. 1 (2026): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/ncbk8636

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh beban kerja terhadap kinerja karyawan, pengaruh beban kerja terhadap perilaku cyberloafing, pengaruh perilaku cyberloafing terhadap kinerja karyawan, dan pengaruh beban kerja terhadap kinerja karyawan melalui perilaku cyberloafing sebagai variabel mediasi di PT Terminal Petikemas Surabaya. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei. Populasi penelitian adalah karyawan tetap PT Terminal Petikemas Surabaya, dengan menggunakan purposive sampling. Data dikumpulkan melalui kuesioner dan dianalisis menggunakan metode Partial Least Squares (PLS). Variabel yang diteliti meliputi beban kerja sebagai variabel independen, kinerja karyawan sebagai variabel dependen, dan cyberloafing sebagai variabel mediasi. Hasil penelitian menunjukkan bahwa beban kerja berpengaruh signifikan terhadap perilaku cyberloafing, cyberloafing berpengaruh signifikan terhadap kinerja karyawan, dan beban kerja berpengaruh terhadap kinerja karyawan melalui cyberloafing. Temuan ini menunjukkan bahwa manajemen beban kerja yang tidak proporsional dapat mendorong cyberloafing, yang pada akhirnya menyebabkan penurunan kinerja karyawan. Oleh karena itu, perusahaan perlu mengelola beban kerja secara efektif dan mengontrol penggunaan internet di tempat kerja untuk meningkatkan kinerja karyawan.
Global Trends and Future Outlooks in Centralized Exchange Research: A Comprehensive Bibliometric Review Moch. Nuriko Firdaus; Ika Diyah Candra Arifah; Jorge Alberto Martinez Escandón
Journal of Digital Business and Innovation Management Vol. 5 No. 1 (2026): June 2026
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jdbim.v5i1.77177

Abstract

Centralized exchanges (CEX) serve as the most widely adopted cryptocurrency trading platforms in Indonesia. However, research on this topic rarely positions Indonesia as the object of study. Therefore, this study analyzes the development and challenges of CEX through a systematic review supported by bibliometric analysis in order to map future research topics relevant to Indonesia. The literature search was conducted using the Scopus database with the following keywords: ("cryptocurrency" OR "crypto" OR "digital asset" OR "cryptocurrencies") AND ("centralize" OR "centralized exchange" OR "centralized crypto asset exchanges" OR "CEX" OR "trading platform" OR "FTX"). The findings indicate that Indonesia presents contrasting outcomes between its global cryptocurrency adoption rate and the volume of research examining this topic within the country. Consequently, future research directions on this subject should prioritize cross-border collaborative efforts and expand the discourse of centralized exchanges (CEX) within the domains of infrastructure and technology, risk and security, market dynamics, and cryptocurrency trading regulations. Keywords: Centralized Exchange; Cryptocurrency; Bibliometric Analysis; Systematic Review
Pengaruh Video Content Marketing dan Storytelling di Tiktok terhadap Purchase Decision melalui Consumer Preference Brand Wardah di Surabaya Khalisa Adhanaiya Prabadinalar Sentika; Ratih Amelia; Hujjatullah Fazlurrahman; Ika Diyah Candra Arifah
Indonesia Economic Journal Vol. 2 No. 2 (2026): JULI-DESEMBER
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/tjspg157

Abstract

Perkembangan media sosial telah mengubah strategi pemasaran industri kecantikan, sehingga perusahaan dituntut mampu menciptakan konten yang informatif, menarik, dan membangun hubungan emosional dengan konsumen. Video content marketing dan storytelling menjadi strategi yang dinilai efektif dalam membentuk preferensi konsumen serta memengaruhi keputusan pembelian. Penelitian ini bertujuan menganalisis pengaruh video content marketing dan storytelling terhadap purchase decision melalui consumer preference pada konsumen produk Wardah di Surabaya. Penelitian menggunakan pendekatan kuantitatif dengan metode survei terhadap 386 responden yang dipilih menggunakan teknik purposive sampling. Data dikumpulkan melalui kuesioner dan dianalisis menggunakan Structural Equation Modeling–Partial Least Squares (SEM-PLS). Hasil penelitian menunjukkan bahwa video content marketing tidak berpengaruh signifikan terhadap purchase decision, tetapi berpengaruh positif dan signifikan terhadap consumer preference. Storytelling berpengaruh positif dan signifikan terhadap consumer preference maupun purchase decision. Selain itu, consumer preference berpengaruh positif dan signifikan terhadap purchase decision, namun tidak terbukti memediasi pengaruh video content marketing maupun storytelling terhadap purchase decision. Temuan ini menunjukkan bahwa strategi pemasaran digital yang efektif tidak hanya bergantung pada penyampaian informasi melalui konten video, tetapi juga pada kemampuan storytelling dalam membangun keterlibatan emosional dan preferensi konsumen. Penelitian ini memberikan implikasi praktis bagi perusahaan untuk mengoptimalkan strategi pemasaran digital melalui pengembangan konten video dan storytelling yang relevan dengan karakteristik target konsumen guna meningkatkan daya saing merek di industri kecantikan.
Pengaruh Social Proof dan Kualitas Visual Konten TikTok Shop terhadap Minat Beli dengan Promotional Overload sebagai Variabel Moderasi pada Generasi Z Rafif Muhammad Hirsya; Hujjatullah Fazlurrahman; Ika Diyah Candra Arifah
Jurnal EMT KITA Vol 10 No 4 (2026): OCTOBER 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/emt.v10i4.7377

Abstract

Digitalization shifts consumer behavior. This study aims to analyze the effect of social proof and visual content quality on Gen-Z's purchase intention on TikTok Shop, with promotional overload as a moderating variable. The research utilizes a quantitative approach with purposive sampling, collecting data from 204 Gen-Z TikTok Shop users via an online questionnaire. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS software. The general findings indicate that both social proof and visual content quality significantly and positively influence consumer purchase intention. Furthermore, promotional overload is found to significantly moderate and weaken the positive effects of both independent variables on purchase intention. In conclusion, while social proof and attractive visuals are critical in driving digital sales, excessive promotional exposure can diminish consumer interest due to information fatigue.
Discount Framing, Live Commerce, and CRM Automation on Repurchase Intention through Perceived Value in Shopee and TikTok Shop Users Livia Vandaniya; Nurul Adilawati; Moch Ilham Firmansyah; Naufal Zul Fahmi; Ika Diyah Candra Arifah
Inkubis : Jurnal Ekonomi dan Bisnis Vol. 8 No. 2 (2026): INKUBIS Jurnal Ekonomi Dan Bisnis
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/inkubis.v8i2.344

Abstract

Background: E-commerce platforms increasingly rely on promotional strategies, interactive shopping experiences, and automation-based Customer Relationship Management (CRM) systems. Previous studies have examined discount framing, live commerce, and CRM automation separately, without addressing their simultaneous effects on repurchase intention through perceived value, a critical gap in the digital marketing literature. Objective: Grounded in the Stimulus–Organism–Response (S-O-R) theory, this study examines the influence of discount framing, live commerce, and CRM automation on repurchase intention, with perceived value as a mediating variable, among Shopee and TikTok Shop users in Indonesia. Methods: A quantitative cross-sectional survey was administered to 424 respondents selected using purposive sampling. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4. Results: The results indicate that discount framing, live commerce, and CRM automation have positive and significant effects on perceived value and repurchase intention. Furthermore, perceived value has a positive and significant effect on repurchase intention and partially mediates the relationships between discount framing, live commerce, and CRM automation and repurchase intention. Among the three stimulus variables, CRM automation demonstrated the strongest contribution to increasing perceived value, highlighting the importance of personalized communication, rapid automated responses, and relevant product recommendations in shaping positive consumer evaluations. These findings extend the application of the S-O-R theory by emphasizing that perceived value serves as an important psychological mechanism linking digital marketing stimuli to repurchase behavior. Conclusion: E-commerce platforms should optimize promotional formats, enhance live commerce interactivity, and strengthen CRM automation capabilities to maximize perceived value and sustain repurchase behavior.
Unveiling the Impact of AI-Driven Marketing on Customer Experience and Purchase Intention: A Systematic Literature Review Using Python-Based Bibliometric Analysis Dewi Ayu Agustina; Ika Diyah Candra Arifah
Journal of Digital Business and Innovation Management Vol. 4 No. 2 (2025): December 2025
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jdbim.v4i2.70819

Abstract

The integration of Artificial Intelligence (AI) in marketing has gained momentum as businesses seek to enhance customer experience and drive purchase intention. This study presents a systematic literature review (SLR) using Python-based bibliometric tools to analyze recent scholarly contributions from 2015 to 2025. By extracting and analyzing data from Scopus and Web of Science databases, we identify thematic trends, key contributors, and knowledge gaps in AI-driven marketing literature. Findings reveal a strong emphasis on personalization, customer engagement, and trust as mediators between AI applications and purchase intention. This paper provides a conceptual foundation for future empirical and experimental studies in AI marketing.