A Mediating Effect on ERP KM Model for the Performance of Oil and Gas Sector in Klang Valley: A Preliminary Study

Ma’arif, Muhamad Yusnorizam; Satar, Nurhizam Safie Mohd; Singh, Dalbir; Motahar, Seyed Mohammad

doi:10.30534/ijatcse/2019/7381.42019

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…However, although there are KMSs on the market, other systems not explicitly designed for that purpose can have the same utility (Ma’arif et al , 2019). This is the case with BPMSs, which require management of the knowledge needed to carry out business processes; otherwise, workers would not know what tasks to do, in what order, or how or when to do them.…”

Section: Introductionmentioning

confidence: 99%

Determinants of BPMS use for knowledge management

Martín-Navarro

Sancho

Medina-Garrido

2023

JKM

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Purpose Companies are increasingly implementing business process management systems (BPMSs) to support their processes. However, there is a gap in the literature regarding whether users also use BPMSs to manage the knowledge needed for processes to be completed. This study aims to analyze the factors that cause users to use BPMSs to manage the knowledge required in business processes. Design/methodology/approach The paper proposes an original model that integrates two successful information system models applied to BPMSs and knowledge management systems. To test the hypotheses derived from this new model, data were collected from 242 mature BPMS users from 12 Spanish and Latin American companies. Structural equation modeling with AMOS was used to examine the model. Findings Users’ perceived usefulness of a BPMS when using it for knowledge management (KM) is the only factor influencing them to use it for KM. Practical implications This study has practical implications for managers wishing to successfully implement a BPMS to support processes and for employees to use the knowledge embedded in the tool. The latter will only happen if users perceive the tool’s usefulness for KM. Originality/value To the best of the authors’ knowledge, this model is the first empirically validated model to successfully analyze BPMS users’ tendency to use BPMSs as a tool to support necessary KM in processes.

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Section: Introductionmentioning

confidence: 99%

Determinants of BPMS use for knowledge management

Martín-Navarro

Sancho

Medina-Garrido

2023

JKM

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“…Inaccurate sales forecasting can increase costs associated with inventory so that investment becomes inefficient. To answer this problem, this research will propose a new sales forecasting method as a preliminary study [1], [2] that integrates the RFM concept, the data-mining clustering method (kMeans) [3], and the Best-Worst Method, where RFM is a powerful-method in marketing and BWM is a new decision-making method [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Integration of Decision-Making Method and Data-Mining Method as A Preliminary Study of Novel Sales Forecasting Method

Gustriansyah¹

2020

IJATCSE

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Sales forecasting is intended to control the amount of available stock so that shortages or excess stock can be minimized, the fulfillment of consumer demand can be prepared on time, and cooperation with suppliers can be maintained properly. Therefore, this study aims to develop a new sales forecasting method that integrates the concept of RFM, the data-mining method, and the Best-Worst Method (BWM), where RFM is a strong-method in the field of database marketing and BWM is a new decision-making method. This research is a preliminary study that outlines the theory and phases of the proposed sales forecasting method. Based on the concept offered, research on the proposed sales forecasting method is very possible to be developed. This new sales forecasting method can be an alternative method for company management to optimize services to consumers, inventory efficiency, and predict the company's economic benefits in the future.

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