cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Muhammad Kris Yuan Hidayatulloh
Contact Email
krisyuan@unwaha.ac.id
Phone
+6285851233341
Journal Mail Official
lppm@unwaha.ac.id
Editorial Address
Jl. Garuda No. 09 61451 Tambakberas Jombang Jawa Timur
Location
Kab. jombang,
Jawa timur
INDONESIA
Income: Innovation Of Economics And Management
Published by Universitas KH. A. Wahab Hasbullah
ISSN : -     EISSN : 27970450     DOI : -
Core Subject : Economy,
Economics, Econometrics & Finance
INCOME: Innovation of Economics and Management is a scientific journal published by the Institute for Research and Community Service (LPPM), KH University. A. Wahab Hasbullah Jombang. INCOME: Innovation of Economics and Management aims to provide information from the results of research in the field of management and development. The Scope of our journal includes: (1) marketing management, (2) human resources management, (3) financial management, (4) operational management, (5) strategic management (6) entrepreneurship.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 2 Documents
 1 
Search results for , issue "Vol. 4 No. 3 (2025): February" : 2 Documents clear
Supply Chain Management Strategies on Oil and Gas Companies Performance in Nigeria Ogbaini, Clement Aliu
INCOME: Innovation of Economics and Management Vol. 4 No. 3 (2025): February
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/income.v4i3.5668

Abstract

Nigeria's oil and gas sector, a significant contributor to the country's economy, accounts for 92% of export value and 5.5% of GDP. However, challenges such as supply chain inefficiencies hinder its optimal performance. This study investigates the impact of supply chain management strategies on the performance of Nigerian oil and gas companies. Adopting a mixed-method research design, the study utilized Taro Yamane’s formula to determine a sample size of 100 respondents, employing stratified random sampling to select participants from the upstream, midstream, and downstream operational strata of the oil and gas industry. Data collection was conducted through structured questionnaires and interviews, while data analysis employed descriptive statistics, including frequency distributions, percentages, means, and standard deviations. Hypotheses were tested using chi-square statistics to establish relationships and validate findings. The results revealed that the integration of advanced technologies, third-party logistics providers, and effective risk management significantly enhances supply chain performance in the oil and gas sector. The study recommends the adoption of advanced data analytics, artificial intelligence (AI), blockchain technology, the Internet of Things (IoT), and enterprise resource planning (ERP) systems for data-driven decision-making, risk prediction, operational optimization, and demand forecasting. Additionally, oil and gas companies should conduct comprehensive risk assessments, develop robust business continuity plans (BCPs), and implement regular drills and simulations to ensure operational resilience during disruptions. This study contributes to the body of knowledge on supply chain management strategies in the oil and gas sector, particularly within the Nigerian context
Descriptive Analysis of Brand Loyalty, Reputation, and Equity at Lantikya Store Fatmawati, Heni Nurlia; Mahendri, Wisnu
INCOME: Innovation of Economics and Management Vol. 4 No. 3 (2025): February
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/income.v4i3.6008

Abstract

This study aims to quantitatively describe the profile of customer loyalty, brand reputation, and brand equity at Lantikya Store Jombang. Amidst fierce competition in the retail business, a deep understanding of the actual condition of these key marketing variables is essential for formulating effective strategies. Using a descriptive research design with a quantitative approach, data was collected through questionnaires from 110 Lantikya Store customers selected using a probability sampling technique. Data analysis focused on descriptive statistics, including frequency, percentage, and mean values for each variable and its indicators. The results show that customer loyalty at Lantikya Store indicates a high level of agreement from respondents. Brand reputation is also strongly agreed upon by customers. Similarly, overall brand equity shows a high level of agreement. The demographic profile of respondents is dominated by female customers in the student age range. This research produces a detailed empirical portrait of Lantikya Store's customers, providing a data-driven basis for management to strengthen marketing strategies and maintain customer loyalty.

Page 1 of 1 | Total Record : 2

 1 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol. 5 No. 2 (2025): October Vol. 5 No. 1 (2025): June Vol. 4 No. 3 (2025): February Vol. 4 No. 2 (2024): October Vol. 4 No. 1 (2024): June Vol. 3 No. 3 (2024): February Vol. 3 No. 2 (2023): October Vol. 3 No. 1 (2023): June Vol. 2 No. 3 (2023): February Vol. 2 No. 2 (2022): October Vol. 2 No. 1 (2022): June Vol 1 No 3 (2022): February Vol 1 No 2 (2021): October Vol 1 No 1 (2021): June More Issue