Claim Missing Document
Check
Articles

Found 3 Documents
Search

THE EFFECT OF BRAND ELEMENT CRITERIA AND BRAND IMAGE OF PRIVATE LABEL PRODUCTS ON STORE IMAGE AND ITS IMPLICATIONS ON CUSTOMER LOYALTY Annas, Mohammad; Pramudito, Eko Sigit
IMAGE : Jurnal Riset Manajemen Vol 10, No 1 (2021): IMAGE : Jurnal Riset Manajemen, April 2021
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/image.v10i1.32309

Abstract

This study aims to analyze the effects and aspects of store images and customers loyalty. Independent variable in this research is criteria of brand element and brand image, and dependent variables are store image and customer loyalty. This research were using questionnaires collected from 302 respondents who buy products with private label brand on their shopping baskets during Pandemic Covid-19 period. The result showed that brand element criteria had significant effect on store image and the same as brand image gave significant effect on store image, and store image significantly affect the customer loyalty. The conclusion derived from this study was to keep the private brand element criteria on the sight of customer side, maintain its good image because the brand effecting also the store image where the private label brand sold. Reinforcing store image periodically to maintain its customer loyalty should be done periodically and frequently. Keywords: Private label;Private Brand;Brand Element;Brand Image;Store Image
Reinventing Human Resource Practices Through Digital Marketing Platforms and Remote Work Technologies Pramudito, Eko Sigit; Widayanti, Riya; Purnama, Suryari; Al-Farouqi, Kamal Arif
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/m4qs8j08

Abstract

The digital era has transformed human resource (HR) management, with or- ganizations adopting digital platforms, remote work technologies, and digital marketing strategies to improve productivity, optimize talent management, and enhance employer branding. These innovations also support Sustainable Devel- opment Goals (SDGs), including SDG 4 (Quality Education), SDG 8 (DecentWork and Economic Growth), and SDG 9 (Industry, Innovation, and Infrastructure). This study examines how HR practices are reinvented through dig- ital tools and marketing-driven initiatives, focusing on recruitment, employee engagement, performance management, and training, while highlighting chal- lenges and opportunities. A qualitative descriptive approach analyzed sec- ondary data from peer-reviewed journals, case studies of multinational corpora- tions and SMEs, and industry reports published between 2021 and 2025. Con- tent analysis identified themes related to HR digital adoption, workforce en- gagement, marketing integration, and strategic implications. HR digitalization poses challenges such as employee resistance, digital literacy gaps, cybersecu- rity risks, and maintaining organizational culture. Opportunities include greater flexibility, cost efficiency, improved engagement, enhanced employer branding, and access to global talent pools. Digital platforms, remote work, and marketing strategies are strategic assets reshaping HR management and aligning practices with sustainability goals.
Business Artificial Intelligence for Enhancing Sustainable Decision Intelligence Choiri, Muttaqin; Pramudito, Eko Sigit; Sutisna, Felix; Sean, Rio Squire
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.712

Abstract

Business Artificial Intelligence (BAI) has become a key driver of organizational transformation, enabling advanced analytics, intelligent automation, and data-driven strategic decision-making. However, despite rapid technological progress, empirical research explaining how AI capability, algorithmic transparency, and task–technology alignment collectively shape Sustainable Decision Intelligence (SDI) within real business environments remains limited. To address this gap, this study introduces a novel BAI–SDI framework integrating AI Capability, Algorithmic Transparency, Task-Technology Fit (TTF), Decision Quality, and Sustainable Decision Intelligence as core constructs influencing long-term strategic and sustainable decision outcomes. Using a quantitative approach with Structural Equation Modeling–Partial Least Squares (SEM–PLS), survey data were collected from 402 professionals working in AI- integrated business sectors across Indonesia. The empirical results indicate that AI Capability significantly enhances Task-Technology Fit, while Algorithmic Transparency strongly predicts Decision Quality, emphasizing the importance of interpretability and accountability in trust-driven decision processes. Furthermore, Task-Technology Fit mediates the impact of AI Capability on Decision Quality, demonstrating that effective system-task alignment is essential for maximizing organizational value. The findings provide theoretical advancements by positioning SDI as an empirical extension of decision management theory and offer practical guidance for implementing ethical, transparent, and future-ready AI strategies within business environments. Overall, this study contributes actionable insights for strengthening governance and accelerating sustainable digital transformation in increasingly competitive and AI-driven decision ecosystems.