European Journal of Business and Management Research

Capacity Optimizing of Oil Production and Transportation Facilities in Field X

2025-05-20T08:02:55+02:00

This research aims to analyze effective operational strategies in increasing oil production in PT Pertamina EP’s Field X and optimizing oil transportation capacity using Crude Oil Tanker Trucks. The methods used to solve the challenge include field data collection, interviews with various stakeholders, focus group discussions (FGD), and a SWOT Matrix analysis to formulate the best strategy. The Analytical Hierarchy Process (AHP) method is applied to determine the best solution based on cost, cycle time, distance, and risk criteria. The results indicate that with the addition of six new wells, oil production in Field X is projected to increase to approximately 5,000 BOPD in the coming year. The SWOT analysis revealed that Field X has great potential, with significant oil reserves, but still relies on a high-cost and prone-to-disruption Crude Oil Tanker Truck transportation system. Alternative solutions proposed include optimizing production capacity by adding on-site tanks and increasing the number of Crude Oil Tanker Truck units. Based on the AHP results, the best option is to send oil from EPF Field X to Gathering Station GL, with the highest score of 0.5314 compared to other alternatives. Implementation planning has been prepared to ensure that increased production and transportation capacity can be optimally accommodated, thereby preventing Loss of Production Opportunity (LPO). With the right strategy, the increase in oil production at Field X can proceed smoothly and efficiently without requiring significant additional investments in production facilities. This solution offers operational recommendations that PT Pertamina EP can implement to enhance its operational effectiveness.

Foreign Investment and Tax Revenue in Sub-Sahara African Countries

2025-05-17T08:06:13+02:00

The influence of foreign investment on tax revenue has been widely examined in extant literature, albeit with mixed findings across developed and developing economies. While some studies highlight a positive correlation, others underscore negative or context-specific impacts, reflecting the complex dynamics at play. This study examined the effect Foreign Investment and Tax Revenue in Sub-Sahara African Countries. Secondary was used for the analysis. The data sample consists of 22 years from 2002 to 2023, including 726 panel observations and 33 cross-sections. The study employed Pooled Ordinary least Square Regression with Panels Corrected Standard Errors (PCSEs). The findings reveal that foreign direct investment and portfolio investment exhibit a statistically significant negative impact on tax revenue, which can be explained by the challenges of tax avoidance, profit repatriation by foreign companies, and weak institutional frameworks. Interestingly, trade openness and GDP growth positively drive tax revenue while governance quality showed only marginal significance, emphasizing the need for comprehensive institutional reforms. These results highlight the dual nature of foreign investment as both a catalyst for economic growth and a potential challenge to effective tax revenue mobilization in the region.

FOMO and the Impulsive Purchasing Behavior of Young People

2025-05-17T08:02:36+02:00

The study on impulsive purchasing behavior plays an important role for sellers. This research evaluates the impact of the fear of missing out (FOMO) on the impulsive purchasing behavior of young people via livestream platforms (Facebook, TikTok, etc.). The research model is built upon the SOR (Stimulus-Organism-Response) theory, which explains the relationships between contextual and environmental stimuli, the organism, and responses in live-streaming commerce. The model proposes that three key stimuli—livestreamers' attractiveness (SA), information quality (IQ), and interactivity (IT)—drive buyers toward approach behaviors, including fear of missing out (FOMO), which ultimately leads to impulse buying (IMP). Data collected from Vietnamese youth, with 236 responses analyzed using the PLS-SEM model, indicates that FOMO has a positive impact on their impulsive buying behavior. Additionally, there are three main factors affecting the fear of missing out, including (1) The attractiveness of the livestreamer, (2) Information quality, and (3) Interaction. Based on these findings, the author also provides theoretical and practical implications.

The Role of Performance Measurement in Enhancing Employee Performance: Evidence from Kenyan State Corporations

2025-04-25T07:59:59+02:00

Over the past two decades, employee performance has been a central focus of public sector reforms in Kenya. In 2003, the government recognized that poor performance in central government and state agencies was hindering economic growth. Public sector employees in Kenya faced low productivity and weak performance linkages, with only 35.4% of man-hours utilized productively. Despite the introduction of performance management practices in state corporations, their effectiveness remains unclear. Existing studies focused on private sector while others limited data collection to single organizations. This study examined the influence of performance measurement on employee performance in Kenyan state corporations. A cross-sectional survey design was employed, incorporating both quantitative and qualitative approaches, and triangulated with secondary data. A list of 170 state corporations constituted the sampling frame while stratified sampling technique was used to sample of 119 respondents. Primary data was collected using a semi-structured questionnaire while secondary data was collected using data collection sheets. Data analysis was carried out using descriptive and inferential statistics. Regression analysis revealed a positive and significant relationship between performance measurement and employee performance. The findings highlighted the importance of structured performance measurement process, particularly the use of performance evaluation carried out in meetings where dialogue between the managers and employees is encouraged.

Probing the Nature of Inferential Decisions: Fine-Tuning the False Negative Error [β-Risk%]

2025-04-25T07:59:50+02:00

In our experiential-milieu, the False Positive Error [FPE] is the ubiquitous choice used to profile and understand the results of inferential analyses. Rarely, are the False Negative Error [FNE] and its ancestral-derivative: The β-Risk% invited into the Analytical conversation to offer an enrichment of the scope of the inferential-intel used to inform the Decision-Making process. This seems to be the case because usually the FPE-intel is generated from a p-value that effectively is the only inference-intel used by the Analyst. The other FPE-inference-intel derives from Sir R. A. Fisher who suggested that adequate statistical-intel is best created by fixing an a prior specified FPE[α] that marks a Point along the Probability-abscissa forming a binary-partition: A H_o− Non-rejection-zone & H_a− acceptance-zone. This binary-partition invites a What-If-conjecture called the β-Risk% that the p-value inferential-model does not “naturally” facilitate. In practice, we have noticed that the conjectural-feature of creating the β-Risk% has resulted in confusion and invites Gaming of the β-Risk%-intel. We offer a β-Risk%-protocol that, if followed, will enhance the overall decision-impact by partnering the FPE with the FNE. Additionally, in addressing computing the β-Risk%, we offer a discussion of two probability contexts: (i) the population standard deviation σPop is discernable, and (ii) the σPop may be computed. In addition, to facilitate using these ideas in creating inferential-intel, we have programmed these two β-Risk% contexts as stand-alone VBA-Excel Open-access Platforms.