Enterprise Resource Planning: Past, Present, and Future

Katuu, Shadrack

doi:10.1080/13614576.2020.1742770

Cited by 59 publications

(33 citation statements)

References 10 publications

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“…Artificial intelligence, according to researchers, is a new technological kinetic energy for industrial upgrading that not only increases the size of linked sectors but also supports industrial structure upgrade [ 8 ]. Relevant academics provide feasible views and insights in conjunction with the current condition of artificial intelligence in China, based on objectively analysing the history, overview, and pattern of worldwide artificial intelligence development [ 9 ]. Based on the relevant data on the development of China's artificial intelligence industry, the research shows that the scale of the artificial intelligence industry, the scale of financing, and the number of patents all have a significant impact on economic growth, confirming the role of artificial intelligence in promoting the economy [ 10 ].…”

Section: Related Workmentioning

confidence: 99%

Artificial Intelligence Assists the Construction of Quantitative Model for the High-Quality Development of Modern Enterprises

Madina

2021

Computational and Mathematical Methods in Medicine

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Artificial intelligence companies are different from traditional labor-intensive and capital-intensive companies in that their core competitiveness lies in technology, knowledge, and manpower. Enterprises show the characteristics of a high proportion of intangible assets, strong profitability, and rapid growth. At the same time, there are also the characteristics of high risk and high uncertainty. In addition to the existing value brought by existing profitability, corporate value should also consider the potential value brought by potential profitability. Enterprise value is affected by many factors such as profitability, growth ability, innovation ability, and external environment. Traditional valuation techniques are often utilised to value artificial intelligence businesses in the present market. Traditional valuation methods ignore the dynamics and uncertainties of artificial intelligence enterprise value evaluation, make static and single predictions of future earnings, ignore the value of enterprise management flexibility, and are unable to assess the intrinsic value of artificial intelligence businesses. Based on the projection pursuit method, this paper constructs a modern high-quality development enterprise high-quality development evaluation model, uses real-code accelerated genetic algorithm to optimize the projection objective function, and calculates the best projection direction vector and projection value. The collected sample data can be imported into the evaluation model to calculate the comprehensive evaluation value of the high-quality development of modern high-quality development enterprises and the weights of various indicators included. By comparing the size of the comprehensive evaluation value, each sample can be calculated Evaluation of the level of high-quality development. The results show that the high-quality development level of China’s overall economy is on the rise, but the level of development is still low, and there is a large gap between the development level of the eastern region and the central and western regions. Using the systematic generalized moment estimation method, empirically, we analyse the impact of artificial intelligence on the high-quality economic development. The results show that artificial intelligence at the national level and in the central and western regions will significantly promote high-quality economic development, while artificial intelligence in the eastern region has a significant inhibitory effect on high-quality economic development.

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Section: Related Workmentioning

confidence: 99%

Artificial Intelligence Assists the Construction of Quantitative Model for the High-Quality Development of Modern Enterprises

Madina

2021

Computational and Mathematical Methods in Medicine

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“…This practice has also been found to assist in managing inventories to meet production requirements such as production speed, dependability and flexibility [75,76]. Thus, MRP has been associated with operational performance by playing key roles in preventing inventory obsolescence, stock outs, excess stock levels while improving material flow, customer satisfaction and product quality [74,77,78]. The study, therefore, hypothesises that; H6: Material Resource Planning significantly improves operational performance of manufacturing firms.…”

Section: Materials Resource Planning and Operational Performancementioning

confidence: 95%

Inventory Management Practices and Operational Performance of Manufacturing Firms in Ghana

Opoku

Fiati

Kaku

et al. 2020

AIR

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Aims: The study examined the effect of different inventory management practices on the operational performance of manufacturing firms in Ghana. Study Design: The study adopted the descriptive survey design. Place and Duration of Study: The study was conducted among manufacturing firms within the Accra, Tema and Kumasi metropolises in Ghana between November 2019 and February 2020. Methodology: The study randomly sampled 152 Procurement and Operations managers and officers from 246 registered manufacturing firms with the Association of Ghana Industries. The manufacturing firms are specifically located within the Accra, Tema and Kumasi metropolises. The study gathered primary data using structured questionnaires of which analysis was done using both descriptive and inferential statistical tools including mean, standard deviation and ordinary least square regression. Results: Using 114 valid responses, the study found manufacturing firms in Ghana to have high preference for Strategic Supplier Partnership (M=3.63) and Activity Based Costing (M=3.56, whereas they had least preference for Just In Time (M=3.06). The ordinary least square regression analysis showed that all the different inventory management practices: strategic supplier partnership (P=.000), activity based costing (P=.025), vendor managed inventory (P=.008), economic order quantity (P=.19), material resource planning (P=.000) and just in time (P=.009) are significantly and positively associated with operational performance. Conclusion: The study concluded that inventory management practices especially strategic supplier partnership plays tremendous roles in improving the operational performance levels of manufacturing firms in a developing economy notably Ghana.

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“…This practice has also been found to assist in managing inventories to meet production requirements such as production speed, dependability and flexibility (Kallunki, Laitinen & Silvola, 2011;Banerjee 2018). Thus, MRP has been associated with operational performance by playing key roles in preventing inventory obsolescence, stock outs, excess stock levels while improving material flow, customer satisfaction and product quality (Oztemel & Gursev, 2020;Musi, Mukulu & Oloko, 2018;Katuu 2020).…”

Section: Nature Of Materials Requirement Planningmentioning

confidence: 99%

Material Requirement Planning and Supply Chain Performance of Oil and Gas Firms in Rivers State, Nigeria

Akintokunbo¹,

Obom²

2021

AJSCM

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Purpose: This study examined the relationship between material requirement planning and supply chain performance of Oil and Gas firms in Rivers State, Nigeria. Methodology: The study adopted an explanatory research design with a causal type of investigation. Both primary and secondary methods of data collection were used to obtain relevant data for analysis. The instrument of data collection employed was the questionnaire. The study population comprised of two hundred and ninety-three (293) oil and gas servicing firms operating in Rivers State as enlisted in the Nigerian oil and gas industry annual report (2020). The sample size for the study comprised 149 oil and gas firms in Port Harcourt, Rivers state. The sample size was determined using the Taro Yamene formula. Furthermore, the researcher selected one management staff from each of the oil and gas firms operating in Rivers State as respondents for the study hence a total of one hundred and forty nine (149) respondents were used for the study. The data was analyzed using the Pearson’s Product Moment Correlation statistic through the aid of statistical packages for social science version 23.0. Findings: The result of the study revealed the existence of significant and positive relationship between material requirement planning and supply chain performance of oil and gas firms in Rivers State. Recommendation: The researcher concluded that material requirement planning affect supply chain performance of oil and gas firms in Rivers state and therefore recommended that managers of oil and gas firms should strategically manage their material and inventory processes in other to improve their supply chain performance.

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Enterprise Resource Planning: Past, Present, and Future

Cited by 59 publications

References 10 publications

Artificial Intelligence Assists the Construction of Quantitative Model for the High-Quality Development of Modern Enterprises

Artificial Intelligence Assists the Construction of Quantitative Model for the High-Quality Development of Modern Enterprises

Inventory Management Practices and Operational Performance of Manufacturing Firms in Ghana

Material Requirement Planning and Supply Chain Performance of Oil and Gas Firms in Rivers State, Nigeria

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