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Aditya Halim Perdana Kusuma Putra
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Advances in Business & Industrial Marketing Research
Published by Yayasan Pendidikan Bukhari Dwi Muslim
ISSN : -     EISSN : 29857589     DOI : https://doi.org/10.60079/abim
Core Subject : Economy,
Economics, Econometrics & Finance
Founded in 2023, Advances in Business & Industrial Marketing Research publishes original research that promises to advance our understanding of Business & Industrial Marketing over diverse topics and research methods. This Journal welcomes research of significance across a wide range of primary and applied research methods, including analytical, archival, experimental, survey and case study. The journal encourages articles of current interest to scholars with high practical relevance for organizations or the larger society. We encourage our researchers to look for new solutions to or new ways of thinking about practices and problems and invite well-founded critical perspectives. We provide a forum for communicating impactful research between professionals and academics in Business & Industrial Marketing research and practice with discusses and proposes solutions and impact the field. Advances in Business & Industrial Marketing Research publishes research that contributes to our developing knowledge of entrepreneurial and small business marketing.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 52 Documents
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The Role of Word of Mouth and Digital Media in Increasing Promotion Effectiveness Yuyun Wahyudi; Sukaris Sukaris
Advances in Business & Industrial Marketing Research Vol. 4 No. 2 (2026): February - May
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/abim.v4i2.852

Abstract

Purpose: This study analyzes the role of Word of Mouth (WoM) and digital media in enhancing promotional effectiveness at PT. Gresik Anugrah Sejahtera in a B2B industrial service context. Research Method: A qualitative descriptive case study was conducted using purposive sampling. Data were collected through interviews with management and business partners, direct observation, and company documentation. Data analysis applied data reduction, display, and conclusion drawing with source triangulation. Results and Discussion: Findings show that WoM is crucial in maintaining trust, loyalty, and demand stability, but its impact is limited to existing networks. Digital media is utilized but not strategically managed, resulting in limited contribution to market expansion. Lack of integration between WoM and digital media leads to defensive promotional practices. Implications: Companies should integrate WoM and digital media to improve promotional effectiveness and competitiveness. Future research may apply quantitative or mixed methods. Originality: This study highlights the integration gap between WoM and digital media in B2B industrial services.
Smart Warehouse Ecosystem: An IoT-Based Framework for Real-Time Environmental Monitoring in a Nutrition Fulfillment Service Unit (SPPG) Warehouse Geby Ayu Fadhilah; Ginandia Ariesta; Ahmad Rufa'i; Deddy Rusdiansyah; Syarif Hidayat
Advances in Business & Industrial Marketing Research Vol. 4 No. 2 (2026): February - May
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/abim.v4i2.856

Abstract

Purpose: This conceptual and simulation-based study aims to examine the potential digital transformation of the logistics system at the Kasemen SPPG Warehouse. It specifically investigates the ability of RFID integration to reduce inaccuracies in food inventory data, evaluates the responsiveness of an IoT-based network architecture using the MQTT protocol for environmental early-warning transmission, and measures automation-driven cycle-time efficiency in inbound and outbound logistics processes. Research Method: This study applies a Research and Development (R&D) approach, focusing on conceptual framework design and performance evaluation using secondary data. The analysis includes Inventory Record Inaccuracy (IRI) measurement using RMSE, evaluation of notification responsiveness via MQTT transmission delay, and time-motion analysis of inbound and outbound cycles, supported by an automated FEFO algorithm. Results and Discussion: The simulation results provide preliminary conceptual support for the proposed operational hypotheses. IRI decreased by 88.86%, from 6.91 to 0.77 RMSE units. Notification responsiveness improved by 99.98%, from 21,600 seconds in the manual system to 2.2 seconds using MQTT. Automation also reduced cycle time by 92.59% in inbound activities and 93.33% in outbound activities. Implications: The findings offer a practical blueprint for shifting warehouse operations from reactive to preventive, reducing the risk of food waste, and supporting digitally standardized logistics SOPs. Originality: This study presents an integrated IoT-based Smart Warehouse model that combines RFID, MQTT, and automated FEFO to support food logistics decision-making.

Page 6 of 6 | Total Record : 52

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