Enterprise modeling and operational technologies (OT) application in the oil and gas industry

P Lara, M Sánchez, J Villalobos - Journal of Industrial Information …, 2020 - Elsevier
When modeling enterprises, it is necessary to capture, simplify, abstract, and organize a vast
number of key organizational elements. These elements (eg, organizational units, human …

Evolutionary paths of performance measurement and management system: the longitudinal case study of a leading SME

A Sardi, E Sorano, A Ferraris… - Measuring Business …, 2020 - emerald.com
Purpose The literature highlights the relevance of performance measurement and
management system in small and medium enterprises (SMEs) to face the current …

Modeling drivers to big data analytics in supply chains

MNA Siddique, KW Hasan, SM Ali… - Journal of …, 2021 - opus.lib.uts.edu.au
The recent emergence of data-driven business markets and the ineligibility of traditional
data management systems to trace them have fostered the application of Big Data Analytics …

Enabling integrated business planning through big data analytics: a case study on sales and operations planning

A Schlegel, HS Birkel, E Hartmann - International Journal of Physical …, 2020 - emerald.com
Purpose The purpose of this study is to investigate how big data analytics capabilities
(BDAC) enable the implementation of integrated business planning (IBP)–the advanced …

Investigation of key performance indicators for performance management of the manufacturing industry in the era of the COVID-19 pandemic

SA Munmun, MA Moktadir, S Tiwari, MZ Abedin… - Annals of Operations …, 2023 - Springer
The execution of constructive Key Performance Indicators (KPIs) is a critical tool for the
Performance Management (PM) of the manufacturing industry to regulate operations. The …

Critical Success Factors in Business Operation and Its Impact on Productivity Growth

R Abidin, NH Osman, R Hashim - Business Innovation and …, 2021 - atlantis-press.com
Abstract Service sector in Malaysia continues to be the top source of employment. In the
private sector, most jobs are created in sub-sectors such as trade, tourism, finance …

Big data applications in operations/supply-chain management: A literature review

R Addo-Tenkorang, PT Helo - Computers & Industrial Engineering, 2016 - Elsevier
Purpose Big data is increasingly becoming a major organizational enterprise force to reckon
with in this global era for all sizes of industries. It is a trending new enterprise system or …

Data analytics framework for industry 4.0: enabling collaboration for added benefits

S Lazarova‐Molnar, N Mohamed… - IET Collaborative …, 2019 - Wiley Online Library
Industry 4.0 is a promising vision for advancing the manufacturing sector through the recent
innovations in information and Communication Technologies that enable collecting, storing …

[PDF][PDF] Performance measurement management for small and medium enterprises: an integrated approach

P Taticchi, KR Balachandran… - Journal of Applied …, 2008 - cmaaustralia.edu.au
The paper reviews the literature in the field of performance measurement and management
(PMM) for small and medium enterprises (SMEs) and it proposes a framework for PMM …

Data-driven performance management of business units using process mining and DEA: case study of an Iranian chain store

N Maddah, E Roghanian - International Journal of Productivity and …, 2023 - emerald.com
Purpose The underlying purpose of this paper is to propose a comprehensive framework
evaluating the performance of business units of an organization with a process perspective …