Semantically Modeled Enterprise Databases

Author(s):  
Cheryl L. Dunn ◽  
Severin V. Grabski

A semantically modeled enterprise database is a reflection of the reality of the activities in which an enterprise engages and the resources and people involved in those activities. Many organizations have invested immense sums of money in enterprise resource planning systems (ERP) and associated “bolt-on” applications such as customer relationship management (CRM) and advanced planning systems (APS). A significant portion of the value of these systems is in the integrated database and associated data warehouse. To maximize value, the database should serve as a semantic representation of the organization. Otherwise, relevant information needed to reflect the organization’s activities may be omitted or may be stored in such a way that the underlying reality is hidden or disguised and is therefore of no use to decision makers.

Author(s):  
David Sammon ◽  
Frédéric Adam

The last 15 years have seen the emergence on the software market of a category of software called Enterprise Resource Planning systems or ERP, which has become the focus of both researchers and practitioners in the information systems area. At this time, the ERP software market is one of the fastest growing markets in the software industry with long-term growth rates of 36-40%. Some estimates put the eventual size of the market by the year 2010 at US$1 trillion (Bingi et al., 1999). Since these estimates have been put forward, the ERP market has slowed down, but the overall growth of the enterprise-wide application market is still quite strong, thanks to a number of additional segments, such as Customer Relationship Management (CRM) and Supply Chain Management (SCM). Also, more recently, a new trend is emerging in the market: the re-implementation and extension of ERP, referred to as ERP II (Humphries and Jimenez, 2003).


Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaojun Yao ◽  
Masoumeh Azma

PurposeThis study aims to investigate the impact of skills and knowledge of employees, economic situations of the company, current IT infrastructure, payment fashion, cloud availability, and cloud privacy and security on the productivity of the human resources in the COVID-19 era.Design/methodology/approachOver the past few years, the advent of cloud-assisted technologies has dramatically advanced the Information Technology (IT)-based industries by providing everything as a service. Cloud computing is recognized as a growing technology among companies around the world. One of the most critical cloud applications is deploying systems and organizational resources, especially systems whose deployment costs are high. Manpower is one of the basic and vital resources of the organization, and organizations need an efficient workforce to achieve their goals. But, in the COVID-19 era, human resources' productivity can be reduced due to stress, high labor force, reduced organizational performance and profits, unfavorable organizational conditions, inability to manage and lack of training. Therefore, this study tries to investigate the productivity of human resources in the COVID-19 era. Data were collected from the medium-sized companies through a questionnaire. Distributed questionnaires were conducted on the Likert scale. The model is assessed using the structural equation modeling technique to examine its reliability and validity. The study is a library method and literature review. A case study was conducted through a questionnaire and statistical analysis by SPSS 25 and SMART-PLS.FindingsBased on the findings, the skills and knowledge of employees, the economic situations of the company, payment fashion, cloud availability and the current IT infrastructures of the company have a positive impact on human resource efficiency in the COVID-19 era. But cloud privacy and security have a negative effect on the productivity of human resources. The findings can be the basis for companies and organizations in the COVID-19 era.Research limitations/implicationsThis study has some restrictions that need to be considered in evaluating the obtained results. First, due to the prevalence of Coronavirus, access to information from the companies under study was limited. Second, this research may have overlooked other variables that affect human resource productivity in the COVID-19 era. Prospective researchers can examine the impact of Customer Relationship Management (CRM) and Supply Chain Management (SCM) on the human resource's productivity in the COVID-19 era.Practical implicationsThe results of this research are applicable for all companies, their departments and human resources in the COVID-19 era.Originality/valueIn this paper, human resources' productivity in the COVID-19 era is pointed out. The presented new model provides a complete framework for investigating cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era.


Sign in / Sign up

Export Citation Format

Share Document