- Abbr. Title:
- ISAR J Econ Bus Manag
- Subject:
- Business management/ public relation
- ISSN(Online):
- 2584-0169
- Publisher:
- ISAR Publisher
- Chief Editor:
- Omaliko Emeka Leonard (Ph.D)
- Country of origin:
- India
- Language:
- English
- Frequency:
- Monthly
- Format:
- Online
- Journal starting year:
- 2023
Generative AI Policy
Background and Rationale
Generative Artificial Intelligence (GenAI) presents both opportunities and challenges in scientific writing and academic publishing. To enhance transparency, research integrity, and trust in scholarly communication, ISAR Publisher has established this policy governing the responsible use of GenAI and AIassisted technologies. This policy aligns with recommendations from major indexing bodies and publishing standards, including Scopus, COPE, and leading international publishers.
ISAR Publisher recognizes that GenAI technologies are evolving rapidly. Therefore, this policy focuses on principles of transparency, accountability, and ethical use rather than prescribing specific tools or rigid technical requirements.
Scope of the Policy
This policy applies to:
- Authors submitting manuscripts to ISAR Publisher journals
- Editors, editorial board members, and publishing staff
- Peer reviewers involved in the editorial and peer review process
Definition of Generative AI and AIAssisted Technologies
Generative AI and AIassisted technologies refer to software or systems capable of generating, editing, summarizing, translating, or enhancing text, images, or other content based on prompts or data inputs. Examples include, but are not limited to, large language models, AIbased language editing tools, and automated contentgeneration systems.
Acceptable Use by Authors
Authors may use GenAI or AIassisted tools for limited and supportive purposes, such as:
- Improving grammar, spelling, clarity, and language quality
- Enhancing readability and structure
- Assisting with formatting or reference management
Conditions:
- GenAI tools must not replace the authors’ original intellectual contribution, analysis, or scholarly judgment
- Authors must critically review, verify, and edit all AIassisted content
- Authors remain fully responsible for the accuracy, originality, and integrity of the manuscript
Prohibited Use
The following uses of GenAI are not permitted:
- Generating original research data, results, interpretations, or conclusions
- Fabricating, falsifying, or manipulating data or images
- Creating or altering figures, tables, or images in a misleading manner
- Producing entire manuscripts or substantial sections without meaningful human authorship
- Listing GenAI tools or systems as authors or coauthors
Disclosure of GenAI Use
To ensure transparency, authors must disclose the use of GenAI or AIassisted technologies in manuscript preparation. Disclosure should be provided in a dedicated section titled “Declaration of Generative AI and AIAssisted Technologies in Writing” and must include:
- The name of the AI tool used
- The specific purpose for which it was used
Example:
During the preparation of this manuscript, the authors used [tool name] to assist with language editing and readability. All content was reviewed and approved by the authors, who take full responsibility for the final version.
Failure to disclose GenAI use may be considered a breach of publication ethics.
Use of GenAI in Peer Review and Editorial Processes
- Reviewers and editors must not upload manuscripts, reviewer reports, or confidential information into external GenAI systems
- GenAI tools must not be used to generate peer review reports or editorial decisions
- Editorial judgment and peer review must be conducted solely by qualified human experts
Plagiarism, Originality, and Detection
- All submissions may be screened using plagiarism detection and AIcontent detection tools
- Manuscripts containing excessive AIgenerated content or undisclosed AI use may be rejected or returned for revision
- ISAR Publisher follows COPE guidelines when investigating suspected misuse of GenAI
Responsibility and Accountability
The use of GenAI does not diminish or transfer responsibility. Authors, editors, and reviewers remain fully accountable for all content, decisions, and ethical compliance associated with published works.
Compliance and Policy Updates
Noncompliance with this policy may result in manuscript rejection, correction, retraction, or other editorial actions. ISAR Publisher reserves the right to revise this policy periodically to reflect technological developments, ethical standards, and indexing requirements.
ISAR Publisher
Website: https://isarpublisher.com
Email: contact@isarpublisher.com
This study analyzes the role of animal husbandry in the rural economy, focusing specifically on the Kapkot Development Block of Bageshwar District. The objective is to evaluate the economic contribution and livelihood significance of animal husbandry. Data were collected through a primary survey of 80 selected households in Bageshwar District and subsequently analyzed to derive conclusions. The findings reveal that the income structure of the selected households is multi-sourced; while animal husbandry and agriculture are primary sources, other significant contributors include private and government employment, wage labor, handicrafts, and trade (shopkeeping). Income derived from animal husbandry activities is both direct and indirect: direct income comes from the sale of livestock, while indirect benefits arise from milk production and the imputed economic value of labor. It provides rural households with supplementary income, economic security, employment, and social empowerment. In summary, the data suggest that animal husbandry serves not as the primary source of income but as a self-reliant, supplementary economic activity that strengthens rural livelihoods.
South Bengkulu Regency has a commodity that
plays a role in economic development and provides multifunctional economic
value, one of which is hybrid corn. In 2022, the contribution of corn
production in South Bengkulu Regency reached 61,884 tons with a harvested area
of 9,444 hectares (Bengkulu Provincial Agriculture Office, 2023). Specifically,
in Seginim District and Kedurang Ilir District, which are the highest hybrid
corn-producing areas in South Bengkulu Regency. To stabilize hybrid corn
production in South Bengkulu Regency, it is necessary to develop sustainable
agriculture to ensure the existence and availability of hybrid corn stocks. The
sustainability analysis of corn farming in South Bengkulu Regency uses five
dimensions: social, environmental, economic, technology and infrastructure, and
institutions. This analysis is expected to evaluate the sustainability of
hybrid corn farming so that the issues hindering its sustainability in South
Bengkulu Regency can be addressed quickly and effectively. The objective of
this research is to determine the index and sustainability status of hybrid
corn farming in South Bengkulu Regency and to understand the interdependencies
between attributes in hybrid corn farming in the region. The methods used are
Multidimensional Scaling (MDS) and Prospective Analysis. The results indicate
that South Bengkulu Regency falls into the category of less sustainable, with
nine key attributes having a strong influence on the system.
Tomatoes are a strategic horticultural commodity whose price instability has a direct impact on farmers' incomes, consumer purchasing power, and regional inflation, especially in cities in eastern Indonesia that depend on supply from outside the region. This study aims to characterize the dynamics, volatility, and seasonal patterns of tomato prices in Kupang City, compare the accuracy of forecasting exponential smoothing models, moving averages, and linear trends, and compile price forecasts for 2024. The data used are monthly retail prices for the period January 2019 to December 2023 (n = 60) sourced from the Central Statistics Agency of East Nusa Tenggara Province. All accuracy measures were calculated strictly on the basis of one-step forward forecasting using mean absolute deviation, mean squared error, root mean squared error, and mean absolute percentage error. The results showed an overall coefficient of variation of 26.41 percent, with the highest price of IDR 24,792 per kilogram occurring in January 2023 and the lowest price of IDR 7,083 per kilogram in October 2019. The most dominant feature of this series is the very strong annual seasonal cycle, where the seasonal index moves from 68.9 in September to 128.2 in April with a range of fifty-nine index points. The Dickey-Fuller augmented test rejects the unit root hypothesis so that data differentiation is not necessary. The slope coefficient of the linear trend is positive but not statistically significant and only explains 0.56 percent of price diversity. Among the three methods defined, exponential smoothing with a smoothing constant of 0.95 is the most accurate model with a mean absolute percentage error of 16.79 percent, followed by a two-period moving average of 19.63 percent and a linear trend of 23.71 percent. The inclusion of seasonal indices into the exponential smoothing model substantially reduced the error to 12.12 percent. The recommended forecast for 2024 ranges from IDR 9,698 per kilogram in September to IDR 18,041 per kilogram in April. These findings show that seasonality, not trends, should be the basis for analysis and policy for tomato price management in Kupang City.
This study examined the role of forensic accounting techniques in fraud detection and prevention in Deposit Money Banks (DMBs) in Nigeria. A quantitative research design was adopted, and primary data were collected through structured questionnaires administered to 120 respondents drawn from accounting, auditing, finance, and internal control units of selected banks. The data were analyzed using descriptive statistics and regression analysis to test the formulated hypotheses. The regression results revealed that forensic accounting techniques have a significant positive effect on fraud detection and prevention in Deposit Money Banks in Nigeria. Specifically, forensic accounting techniques significantly influenced fraud detection (β = 0.72, p = 0.000) and fraud prevention (p = 0.001). The model further showed a strong explanatory power with an R² value of 0.66, indicating that 66% of the variation in fraud detection and prevention was explained by forensic accounting techniques. Additional findings indicated significant relationships between forensic accounting techniques and internal control systems as well as overall fraud management (p < 0.05). The study revealed that forensic accounting techniques enhance transparency, accountability, and fraud control in Deposit Money Banks in Nigeria.
This study explores the operational mechanisms of brand communication and relationship management within Vietnam's small and medium-sized restaurant sector. Focusing on "A Seafood Restaurant" in Lao Cai Province, Vietnam, as a single case study, the research collected qualitative data through semi-structured interviews based on the "5E stakeholder framework" (owner, managers, head chef, experts, and customers). The researchers conducted thematic analysis and a triangulation test. The findings reveal a dynamic, three-stage cyclical process: in the "information exposure and initial awareness" stage, customers primarily establish initial trust and purchase motivation through word-of-mouth recommendations and social media, although current social media management tends to rely on passive exposure; in the "consumption process and trust accumulation" stage, on-site "customer interaction" (such as guidance during ordering and attentive service) and "relationship management" (such as promptly addressing negative feedback and improving processes) are critical to solidifying brand loyalty; finally, in the "relationship deepening and cyclical diffusion" stage, a positive physical dining experience translates into positive electronic word-of-mouth (eWOM), driving secondary dissemination. The study's conclusions align with the "communication-based relationship model," confirming that managing small and medium-sized restaurant brands involves more than one-way promotion; rather, it relies on the interplay between interactions at physical touchpoints and relationship repair mechanisms. Based on these findings, the study offers practical recommendations for local restaurant operators regarding brand communication and customer retention.
