Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Startupreneur Business Digital (SABDA Journal) Journal of Computer Science and Technology Application
Maria Daeli, Ora Plane
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
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.
Harnessing AI to Improve Operational Effectiveness and Strengthen Organizational Adaptability Rizky, Agung; Arifin, Ridwan; Arif Andika; Maria Daeli, Ora Plane; Hua, Chua Toh
CORISINTA Vol 2 No 2 (2025): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i2.129

Abstract

This study explores the dual role of Artificial Intelligence (AI) in improving operational effectiveness and fostering organizational agility, two critical factors for success in today’s dynamic business environment. By leveraging technologies such as machine learning, predictive analytics, and robotic process automation, organizations can streamline workflows, enhance cost efficiency, and enable data-driven decision-making. The research adopts a qualitative approach, analyzing case studies and expert insights to uncover key findings. Results indicate that AI implementation significantly enhances process speed, decision accuracy, and adaptability while reducing operational costs. However, challenges such as resistance to change, high implementation costs, and ethical concerns—particularly regarding data privacy—pose barriers to adoption. To address these, organizations must adopt strategic measures such as phased implementation, robust training programs, and ethical frameworks. The study introduces a conceptual model that illustrates AI's central role in driving efficiency and adaptability, supported by comparative performance metrics demonstrating tangible benefits. This research contributes to the broader understanding of AI’s transformative impact, emphasizing its potential as a catalyst for innovation and competitiveness. Furthermore, it provides practical recommendations for overcoming barriers to adoption, ensuring sustainable integration of AI technologies. By addressing both opportunities and challenges, the findings serve as a roadmap for organizations aiming to harness AI's full potential. Future research should focus on industry-specific applications and strategies to tailor AI adoption to unique organizational needs, thereby maximizing its impact across diverse sectors. This study concludes that AI is indispensable for organizations striving to thrive in a rapidly evolving digital landscape.
Co-Authors Arasid, Nova Syahrani Arif Andika Hua, Chua Toh Putri Junaedi, Sausan Raihana Razabillah, Nurlaela Ridwan Arifin Rizky, Agung