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All Journal ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Startupreneur Business Digital (SABDA Journal)
Arasid, Nova Syahrani
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science

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Lean Canvas and the Business Model Canvas Model in Startup Piecework Razabillah, Nurlaela; Putri Junaedi, Sausan Raihana; Maria Daeli, Ora Plane; Arasid, Nova Syahrani
Startupreneur Business Digital (SABDA Journal) Vol. 2 No. 1 (2023): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v2i1.239

Abstract

A newcomer in the social media industry, Piecework is dedicated to assisting small businesses in growing their operations in the age of globalization. Having the appropriate business model for a simple explanation of a company's business idea is essential when creating a startup. The Business Model Canvas was a business model that startups utilized frequently at first, but following the creation of the Lean Canvas, they were interested in using it for company development. The purpose of the comparison between the Business Model Canvas and Lean Canvas in the Piecework startup is to enhance the startup development strategy, gain a stronger market position, and gain a deeper understanding of the business framework based on both business models. To validate the concerns encountered, ten informants were interviewed using a qualitative methodology. Lean Canvas is thought to be more suitable for usage by Piecework because using Lean Canvas, Piecework may build services that are more suitable for customers, according to the comparison of the Business Model Canvas and Lean Canvas business models.
Big Data Analytics and Online Promotional Strategies to Boost Digital Business Sales: Analisis Big Data dan Strategi Promosi Online untuk Meningkatkan Penjualan Bisnis Digital Nurhaeni, Tuti; Azka, Refa; Arasid, Nova Syahrani; Sunengsih, Meriyana; Evans, Richard
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 1 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i1.1242

Abstract

In todays competitive and dynamic digital business landscape, the utilization of Big Data Analytics (BDA) and online promotional strategies has become a critical factor in driving sales growth and sustaining competitive advantage. This study aims to analyze how the integration of BDA with digital promotional strategies can enhance the effectiveness of marketing campaigns and support more strategic decision-making in online business management. Employing a mixed-methods approach, the research combines quantitative data from a survey of 120 digital business managers and qualitative insights from in-depth interviews with decision-makers in the e-commerce and startup sectors. The findings reveal that the implementation of BDA enables companies to identify consumer trends, personalize promotions in real time, and optimize marketing budget allocation. Data-driven promotional strategies have proven to be more adaptive and directly impact the improvement of conversion rates and customer loyalty. However, challenges such as the complexity of data system integration, short-ages in analytical talent, and concerns over consumer privacy present significant barriers that require strategic management. This study underscores that synergy between analytical capabilities and measurable digital promotion is essential to achieving sustainable sales growth in the digital era. The results offer practical contributions for industry practitioners and academics in designing marketing approaches that are data-driven and outcome-oriented. By highlighting both the opportunities and obstacles in integrating BDA with digital marketing strategies, this research emphasizes the need for aligning technological advancement with organizational readiness and strategic focus to fully leverage the benefits of big data in modern business operations.
Co-Authors Azka, Refa Evans, Richard Maria Daeli, Ora Plane Nurhaeni, Tuti Putri Junaedi, Sausan Raihana Razabillah, Nurlaela Sunengsih, Meriyana