All Articles
Original Article6 downloads
A metamorphic perspective for growth of landlocked developing countriesA landlocked country is generally disadvantaged in its goal of development. Higher costs of transportation for international movements are fairly higher both for imports and exports, putting international trade if tangible goods on the back foot. The article delves into these factors, analyzing the determinants of Porters home diamond model and its variants. Finally the author depart from the concepts of the home diamond model and propose an important role of the Government policies in enhancing competitive advantage of the landlocked nation from a perspective of a multiple diamond model to address the question “ If there are inorganic ways to achieve higher prosperity rates for Landlocked developing countries?” The author believes that Governments of such Landlocked Developing Countries (LLDC) miss out on an opportunity to transform to create an intellectual landscape and this perspective can be used to mitigate the selective factor disadvantage of ‘landlockedness’ in such nations. To make a comparative study, the author takes into consideration the determinants of Porter's Home's diamond model, the double diamond model of Rugman, and the multiple diamond model of Cartwright, Role of Multinational Enterprises by Dunning, and others and proposes a new paradigm understanding by synthesizing the multiple diamond model into what is a metamorphic perspective a nation can adopt. The author hopes this perspective shall give a platform for future research to add value.
Original Article5 downloads
Impact of Nigeria Agriculture Promotion Policy (APP) on the Productivity of Smallholder Oil Palm Farmers in Edo StateThe Nigeria Agriculture Promotion Policy (APP) was implemented between 2016 and 2020 with the goal of increasing agricultural productivity and income for smallholder farmers. This study evaluated the impact of the APP on the productivity of smallholder oil palm farmers in Edo State. A total of 165 oil palm farmers from 11 local government areas (LGAs) in three (3) senatorial districts in Edo State were surveyed using a mixed-methods approach. Quantitative data were collected through questionnaires and descriptive statistics were used to analyse the data. The findings of the study indicate that the APP was effective in improving the productivity of oil palm farmers in terms of technology adoption and yield/output performance. Additionally, the study found that the policy increased the income of smallholder oil palm farmers by 56.9% from NGN383,314.39 in 2015 to NGN597,392.17 in 2022. The study identified some limitations of the APP, such as the lack of regular training or skill development programs for farmers and the limited access to loan facilities to acquire more efficient oil palm production kits and machinery. The findings of this study have important implications for the future development of agricultural policies in Nigeria. The APP has shown to be an effective policy in improving the productivity of smallholder oil palm farmers.
Original Article4 downloads
The impact of human resources architecture in strategic cohesion - field researchThe current research aims to know the impact of human resources architecture on strategic cohesion. The research problem was represented in an important question, which is (Is there an effect of human resources architecture on strategic cohesion) To explain the relationship between the main research variables, two main hypotheses for correlation and influence were formulated, and sub-hypotheses were derived from them. In order to achieve the objectives of the research, the descriptive analytical method was used to survey the opinions of a number of employees in the College of Nursing. The sample included (102) employees out of a total population of (300) employees. The purposive sampling method was used. Their opinions were polled using a precise questionnaire form, and to analyze the data. The statistical program SPSS and EXCEL were used, and the statistical methods used are (Spearman correlation coefficient and simple linear regression coefficient) The research reached a number of conclusions, the most important of which is that there is an impact of human resources architecture on strategic cohesion.
Original Article7 downloads
THE IMPACT OF VILLAGE FUND ALLOCATION ON THE ECONOMIC OF BENGKULU PROVINCE, INDONESIAThis study aims to determine whether the fiscal policy of the Indonesian government related to the allocation of village funds has an impact on the problem of poverty and unemployment in Bengkulu Province. This study used secondary data sourced from the Indonesian Ministry of Finance and the Central Statistics Agency. The type of data used is panel data with the research period, namely 2015-2022 and the number of observations, namely 9 districts in Bengkulu Province. Furthermore, this study used panel data regression. The results of the analysis show that the allocation of village funds significantly negatively affects district poverty in Bengkulu Province. In addition, the allocation of village funds significantly also has a negative impact on district unemployment in Bengkulu Province. However, the effect of village fund allocation on unemployment and poverty is still relatively low. Therefore, to optimize the use of village funds in poverty and unemployment alleviation, the allocation of village funds should be used for productive things so that they can improve the community's economy.
Original Article13 downloads
ANALYSIS OF FACTORS AFFECTING FOREIGN DIRECT INVESTMENT IN ASEAN COUNTRIESThis study aims Analysis Of Factors Affecting Foreign Direct Investment In Asean Countries In 2016-2021. This type of research is explanatory research. Furthermore, the approach used in this study is a quantitative methodology approach that uses secondary data from 2016-2021. This data is used as information to be used in research and obtained from the official website of the worldbank for 2016-2021. The sample of this study is 5 countries with the highest value of foreign investment and limited data consisting of Singapore, Indonesia, Malaysia, Vietnam, and Thailand. This study used panel data regression analysis tools. The results of this study found that partially economic growth has a significant positive effect on foreign direct investment, inflation has a significant positive effect on foreign direct investment and interest rates have a significant positive effect on foreign direct investment. Based on test F, it was obtained that the variables of economic growth, inflation and interest rates simultaneously had a significant positive effect on foreign direct investment with an Adj.R-Square value of 93.79 percent. These results show that 6.21 percent of foreign direct investment is explained by other variables outside the model.
Original Article9 downloads
A Study on the Effectiveness of Customer Relationship Management (CRM) in Saudi Arabian BanksObjective: The objective of this study is to examine the effectiveness of Customer Relationship Management (CRM) through its functional requirement document (FRD) and functional design document (FDD) in various commercial banks in Saudi Arabia. Critical strategies followed to retain bank customers in banks, knowing their support units and risk management are also probed into.
Research Methodology: To get a better knowledge of the Saudi banking sector, this empirical study combines secondary data with qualitative data gathered via semi-structured interviews with Saudi bankers of big banks (Bank A, Bank B, and Bank C), mid-sized banks (Bank D), and small banks (Bank E). In addition to secondary data, such as flyers, articles, and studies carried out by Saudi banks and the Saudi Arabian Monetary Authority (SAMA), qualitative data have also been collected. The goal of depending on these two data collection methods is to establish the investigation's degree of validity and reliability.
Findings: The findings of this research have provided a descriptive and conceptual overview of the single customer view 360° throughout the bank's Retail and Corporate Banking divisions. Moreover, analysis of the qualitative set of questionnaires brought out several different features of the corporate client enrolment procedure. In Saudi Arabia, a qualitative study has discovered enormous opportunities for customer relationship management in Functional Requirement Documents in the Jazan area of the Kingdom of Saudi Arabia.
Feasibility and Limitations of Study: The descriptive and qualitative study of customer relationship management through its functional requirement document has been achieved through the model proposed and presented in this research paper. The study is confined to a few selected national banks operating in the southern part of Saudi Arabia.
Original Article175 downloads
The Digital Evolution of Corporate Accounting: Trends, Challenges, and Future ProspectsThis research delves into the digital transformation in corporate accounting, riveting on the amalgamation of artificial intelligence (AI), blockchain, and cloud computing within traditional financial systems. Digitization of corporate accounting practices through various tools offers both enhanced efficiencies and new challenges. This study employs a cross-sectional survey of 500 accounting professionals across various corporations in India to gauge perceptions of these changes. The findings underscore a positive reception of digital trends such as AI and blockchain in improving accuracy, transparency, and efficiency in accounting practices. However, significant concerns persist regarding cybersecurity, regulatory compliance, and the need for ongoing professional training. The study contributes to understanding the long-term implications of digital technologies in accounting, offering insights into the strategic integration of these technologies, and proposing frameworks to navigate associated challenges effectively.
Original Article19 downloads
DECISION-MAKING IN ERP SOLUTION IN SMALL AND MEDIUM-SIZED ENTERPRISES IN BOSNIA AND HERZEGOVINA: EVALUATION CRITERIA, MARKET CONTEXT, AND THE ROLE OF LOCAL IMPLEMENTERSSmall and medium-sized enterprises (SMEs) play a central role in the economy of Bosnia and Herzegovina, making the selection of an appropriate ERP solution strategically important for productivity, resource control, and managerial decision-making. According to the European Commission, SMEs in Bosnia and Herzegovina account for 62.7% of total value added and 69.1% of total employment in the non-financial business economy, while OECD and European Commission reports indicate that the country’s digital transformation is progressing more slowly than the European Union average and that institutional support for business digitalization remains limited. In this context, ERP selection is not merely a technical issue, but also an organizational, financial, and developmental decision.
This paper aims to develop an academically grounded decision-making framework for ERP selection in SMEs in Bosnia and Herzegovina, with particular emphasis on the role of local implementers and on the criteria linking software functionality, project delivery, and the long-term sustainability of the system. The paper adopts a conceptual, review-based, and exploratory approach, combining a review of the relevant ERP literature, an analysis of institutional sources on SMEs and digital transformation in Bosnia and Herzegovina, and a documentary analysis of publicly available information on the domestic ERP market and its implementers.
The findings suggest that, in the Bosnian context, functional coverage is a necessary but insufficient basis for rational ERP selection. Equally important are the quality of localization, implementers’ track records in similar industries, the availability of consulting support, training quality, transparent estimates of total cost of ownership, integration planning, data migration, and support for managerial reporting. On this basis, the paper proposes a decision model structured around five groups of criteria and outlines a conceptual AHP–TOPSIS framework for ranking ERP alternatives.
Original Article19 downloads
Improving Transaction Monitoring Through Data Reconciliation and Financial Data Quality AnalyticsFinancial crime prevention should also deal with transaction monitoring, however, the quality of the data available to the transaction monitoring is typically insufficient, inconsistent or of low quality. In the present paper the importance of Data Reconciliation Tools and Financial Data Quality Analytics to achieve high quality and accuracy of the transaction monitoring systems is discussed. It talks about the common causes of data differences among the core banking systems, payment processors, and the external reporting systems, and how these differences can result in a false positive, missed alerts, as well as inefficient investigations. The study suggests a formal design, namely automatic data reconciliation, and real-time data quality examination. Matched data with enhanced quality scoring systems can help the financial institutions to achieve better accuracy in the generation of alerts, thereby minimizing operational noise. The paper also discusses how more complicated analytics (e.g., anomaly detection and pattern recognition) can be used to leverage quality data that has been reconciled to improve detection.It is offered with a conceptual implementation strategy on how these practices can be deeply embedded in the existing compliance systems by institutions without necessarily having to do a re-engineering of the system in its entirety. The findings suggest that the combination of the reconciliation processes, and the current data quality analytics can be used to improve the trustworthiness of the results of the transaction monitoring. This is not only efficient in enhancing regulatory compliance, but also operational efficiency and risk detection is more efficient in the financial systems today.