Possibility of Improving Efficiency within Business Intelligence Systems in Companies

Kubina, Milan; Koman, Gabriel; Kubinová, Irena

doi:10.1016/s2212-5671(15)00856-4

Cited by 18 publications

(10 citation statements)

References 2 publications

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“…However, to help this area reach its full potential, activists and researchers need to fully understand the processes by which startups can create value through business intelligence [48]. e use of business intelligence in businesses and its proven impact as a solution to problems have shown the value and importance of this concept in various sectors of industry and services [49]. In doing so, although big data helps companies gain a competitive edge over competitors in many ways, big data analysis still faces many challenges [50].…”

Section: Business Intelligence and Performance Of Startupsmentioning

confidence: 99%

An Investigation on the Impact of Business Intelligence over the Performance of Startup Companies according to Innovation and Knowledge Management as Mediators

Nazari

Taghavi

Valizadeh

et al. 2022

Mathematical Problems in Engineering

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Value-Originality. Startup companies look for solutions to remove useless issues and enhance the activities offering value adding over the product/service development stage in such a way that such companies will be able to provide great products and more probabilities for success with no need to employ considerable investments from external sources. Accordingly, innovation, business intelligence, and knowledge management will contribute to the positive findings of startup companies. Objectives. Hence, the purpose of the present study was to conduct an investigation on the impact of business intelligence over the performance of startup companies according to such mediators as innovation and knowledge management. Methods. The type of this study is correlation and is also an applied and descriptive-survey work regarding objective and data gathering. Our statistical population encompassed all related experts and managers in the following Iranian startups: Pinket, Alibaba, Snapp, Filimo, IDPay, PhonePay, TapSell, and Body Spinner. Our sample was composed of 108 experts and managers in mentioned companies, who were chosen based on the cluster sampling method. Structural equation modeling with partial least squares approach was used to analyze the gathered data. Findings. Our results reveal the effectiveness of business intelligence, innovation, and knowledge management on the performance of startups and that of business intelligence on innovation and knowledge management. Ultimately, innovation and knowledge management are mediators of the relationship between business intelligence and performance of startups. Conclusion. The startup companies’ managers are strongly recommended to take advantage of innovation and knowledge management in order to enhance the performance of their businesses.

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Section: Business Intelligence and Performance Of Startupsmentioning

confidence: 99%

An Investigation on the Impact of Business Intelligence over the Performance of Startup Companies according to Innovation and Knowledge Management as Mediators

Nazari

Taghavi

Valizadeh

et al. 2022

Mathematical Problems in Engineering

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“…For example, the system can show how much energy an extraction device consumed every 10 minutes during a given shift, or how much energy a randomly selected production machine consumed on a given day, how many products were manufactured at intervals of up to 10 minutes. With our analyses, we have already been able to provide useful information to the management and help them in the decision making process, because the given information became visible to them as well, so they could intervene operatively in the processes where necessary, and it is also a great advantage for them in cost planning [16].…”

Section: Enterprise Resource Planning System For Manufacturing Datamentioning

confidence: 99%

Calculation of indirect electricity consumption in product manufacturing

Koncz¹,

Gludovatz²

2021

Int. J. EQ

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“…They should have so much information from competing companies, middlemen and other factors that are active in the market. This large amount of data must be processed to become valuable knowledge for effective decision making; so often complex information systems such as Business Intelligence systems are used [2].…”

Section: Introductionmentioning

confidence: 99%

Product Pricing With Marketing Data Under Risk Using Business Intelligence

Bagheri¹,

Fazlollahtabar

Ashoori

2018

R. Intelig. Compet.

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Since product pricing is a significant decision for producers and is known as a challenging problem in today’s marketing operations, the aim of this study is to design an integrated decision support system for pricing. The emerging business environment is highly dynamic in which only companies being higher in terms of competitiveness can succeed in achieving a sustainable market. Nowadays, most companies often use complicated information systems such as business intelligence systems for effective decision making and analytics. Here, by using pricing methods the prices of products are determined on the basis of marketing data under the terms of risk so that to maximize revenue along with fulfilling customers’ demands. A case study is reported to show the effectiveness of the approach. There, we analyzed different effects of our proposed pricing models and studied the influences on the purchase behavior of the customers.

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Possibility of Improving Efficiency within Business Intelligence Systems in Companies

Cited by 18 publications

References 2 publications

An Investigation on the Impact of Business Intelligence over the Performance of Startup Companies according to Innovation and Knowledge Management as Mediators

An Investigation on the Impact of Business Intelligence over the Performance of Startup Companies according to Innovation and Knowledge Management as Mediators

Calculation of indirect electricity consumption in product manufacturing

Product Pricing With Marketing Data Under Risk Using Business Intelligence

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