The Business Intelligence Based Business Process Management Challenge

Kopf, Oliver; Homocianu, Daniel

doi:10.12948/issn14531305/20.1.2016.01

Cited by 4 publications

(2 citation statements)

References 8 publications

(6 reference statements)

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“…All data processing and selection/mining/pattern discovery rounds (Feldmesser et al, 2006) [38] (Boley et al, 2013) [39] (Kopf and Homocianu, 2016) [40], together with all regressions and tests, took place on a Windows Server Datacenter virtual machine with six Intel Xeon Gold 6240 Cascade Lake CPU logical cores and ~24 Gigabytes of random-access memory, in a private cloud (https://cloud.raas.uaic.ro-last accessed on the 27 November 2021) managed using Open Stack on Ubuntu.…”

Section: Methodsmentioning

confidence: 99%

A Multi-Technique Approach to Exploring the Main Influences of Information Exchange Monitoring Tolerance

Homocianu

2022

Electronics

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The privacy and security of online transactions and information exchange has always been a critical issue of e-commerce. However, there is a certain level of tolerance (a share of 36%) when it comes to so-called governments’ rights to monitor electronic mail messages and other information exchange as resulting from the answers of respondents from 51 countries in the latest wave (2017–2020) of the World Values Survey. Consequently, the purpose of this study is to discover the most significant influences associated with this type of tolerance and even causal relationships. The variables have been selected and analyzed in many rounds (Adaptive Boosting, LASSO, mixed-effects modeling, and different regressions) with the aid of a private cloud. The results confirmed most hypotheses regarding the overwhelming role of trust, public surveillance acceptance, and some attitudes indicating conscientiousness, altruistic behavior, and gender discrimination acceptance in models with good-to-excellent classification accuracy. A generated prediction nomogram included 10 ten most resilient influences. Another one contained only 5 of these 10 that acted more as determinants resisting reverse causality checks. In addition, some sociodemographic controls indicated significant variables afferent to the highest education level attained, settlement size, and marital status. The paper’s novelty stands on many robust techniques supporting randomly and nonrandomly cross-validated and fully reproducible results based on a large amount and variety of evidence. The findings also represent a step forward in research related to privacy and security issues in e-commerce.

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Section: Methodsmentioning

confidence: 99%

A Multi-Technique Approach to Exploring the Main Influences of Information Exchange Monitoring Tolerance

Homocianu

2022

Electronics

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“…MBI includes capabilities and features not commonly found on laptops and desktops. MBI is capable of providing instant event-driven response, proactive alerts to the user, and real-time tracking of data [23]. It empowers employees to gain realtime access to back-end systems at any time regardless of the location.…”

Section: Mobile Business Intelligencementioning

confidence: 99%

Model for Assessing Mobile Business Intelligence Readiness within South African Telecommunications Industry

Lemekwane¹,

Ruxwana²

2022

J. Engg. Res. & Sci.

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To determine what needs to be done, organisations throughout the world need the capability to find out quickly, what is happening and why it happened. Therefore, having the intelligence to make informed decisions at the right time and place is the key to success in today's dynamic environment. As mobile systems become increasingly available, more accessible, and better performing, data gathering and analysis can be performed off-site and on-site with greater flexibility, in turn extending Business Intelligence (BI) to mobile devices, commonly known as Mobile Business Intelligence (MBI). However, the MBI implementations remain unexplored and unsupported even with the sturdy increase in mobile technology adoption, especially in developing world like South Africa where it is the most viable option. The study aims to establish the MBI readiness factors and developed a model for these organisations to assess their MBI readiness, using South African telecommunications industry as a case. The study employed quantitative research approach, where a closed-ended questionnaires were used as the primary data collection method. Finding suggest a number of key factors significant to MBI readiness in context including Culture, Enterprise Mobility, Organisational Capability, Infrastructure, Security, Skills, Support, etc. The MBI readiness model and its validated elements provide a new way of identifying and verifying critical factors for MBI.

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