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The Role of Product Attributes and Price to Purchase Intentions for Oleh-Oleh Sago Tumbu Victor. R. Pattipeilohy; Stevanus. J. Gomies; Vascolino Pattipeilohy
Public Policy : Jurnal Aplikasi Kebijakan Publik dan Bisnis Vol. 5 No. 2 (2024): Public Policy : Jurnal Aplikasi Kebijakan Publik dan Bisnis
Publisher : Univiversitas Dr. Djar Wattiheluw

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Abstract

The study examines the impact of product attributes and pricing on consumer purchase intentions for oleh-oleh sago tumbu, a traditional Maluku snack. It employs a quantitative approach with explanatory research design, focusing on the relationship between independent variables (product attributes and price) and the dependent variable (purchase intentions). Data from 120 respondents, patrons of specialty snack outlets in Ambon City, were collected using a 5-point Likert scale and analyzed through multiple regression analysis using SPSS 23. The findings highlight the significant positive influence of both product attributes and price on consumer purchase intentions. Recommendations include enhancing product packaging and labeling attractiveness while maintaining affordable pricing to stimulate
INTEGRATING LEAN AND DIGITAL IN SERVICE SYSTEMS: ARCHETYPES, OUTCOMES, AND IMPLICATIONS Febiyola Wijaya; Ibnu Sina Hi Yusuf; Grace Fredriksz; Vascolino Pattipeilohy; Nelda Maelissa
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 5 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.22006093

Abstract

The rapid digitalization of service industries has intensified the need for the effective integration of lean principles and digital technologies to enhance both operational performance and customer outcomes. This study aims to develop a contingency-based understanding of Lean Digital Transformation (LDT) in service sectors by examining how different configurations of practices and technologies influence performance across various service archetypes. A systematic literature review was conducted using peer-reviewed studies published between 2015 and 2025, selected using a structured search strategy and rigorous inclusion criteria to ensure relevance and validity. The findings indicate that LDT significantly improves efficiency, service quality, customer experience, and cost performance when lean practices, such as value stream mapping, standardization, and continuous improvement, are effectively combined with digital technologies, including artificial intelligence, Internet of Things, robotic process automation, analytics, and cloud computing. The effectiveness of these implementations varies depending on the service archetypes, where high-contact services require flexible, human-centric approaches, whereas low-contact services benefit from automation and scalability. The study also identified the key enablers and barriers influencing LDT success. Overall, this study proposes an archetype-contingent framework, contributing both theoretical insights and practical guidance for sustainable service innovation.