Critical Success Factors for Managing Systems Integration

Mendoza, L.; Pérez, María A.; Grimán, Anna

doi:10.1201/1078.10580530/45925.23.2.20060301/92674.7

Cited by 52 publications

(21 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On broader aspects of managing system integration, Mendoza, Peres, and Griman (2006) identify issues associated with process integration using two case studies. They claim that the minimum acceptability level for critical success factors could be attributed to many changes in business processes, which increase the complexity of the implementation.…”

Section: Literature Reviewmentioning

confidence: 99%

Production planning and scheduling using integrated data structures in ERP: Implementation and numerical simulation

Samaranayake

Laosirihongthong

2014

International Journal of Management Science and Engineering Man

View full text Add to dashboard Cite

This paper aims to address limitations with existing data structures and associated production planning and scheduling methods in enterprise resource planning (ERP). The methodology consists of: (i) the development of a theoretical framework of integrated data and associated planning and scheduling methods, (ii) the implementation of integrated data in ERP, and (iii) the development of a model for evaluating the impact of slack times on lead-time using existing data structures. Integrated data using additional relationships provide the capabilities of simultaneous and forward planning of various data elements (materials, activities, operations and resources) and finite leading of resources. Numerical simulation shows that planning of integrated data results in shorter lead-times than has been traditional. Furthermore, it is noted that integrated data with graphical display enables data maintainability, flexibility and transparency for better planning and scheduling. Furthermore, the number of assemblies and the size of operations routings at each bill of materials level have been identified as key factors impacting on production planning and scheduling, in particular lead-times. Despite implementation of integrated data in an ERP, numerical simulation is limited to one product structure and represents only a snapshot of planning and scheduling results. Thus, future research is being planned for the simulation of a large assembly network using a case from industry. This research advances understanding of the limitations of existing data in ERP and proposes an approach for overcoming some of these limitations by using integrated data.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Production planning and scheduling using integrated data structures in ERP: Implementation and numerical simulation

Samaranayake

Laosirihongthong

2014

International Journal of Management Science and Engineering Man

View full text Add to dashboard Cite

show abstract

“…It integrates customer relationship management, supply chain management (SCM) [29,36], and coordinates the task environment [39]. It involves four types of integration: (1) external horizontal, (2) external vertical, (3) external temporal and (4) shared-vision integration.…”

Section: Level Iv: Socio-organizational Integrationmentioning

confidence: 99%

Understanding the influence of integration on ERP performance

Hwang

Grant

2011

Inf Technol Manag

View full text Add to dashboard Cite

This research investigates the influence of five levels of ERP integration on ERP performance in different user-friendly interface groups. The five levels are systemspecification, Island of Technology, organizational, socioorganizational, and global integration. We conducted an empirical study that involved 102 ERP professionals, 52 of whom showed low demand for user-friendly interface design while the others showed high demand. The results suggest that system-specification and organizational integration significantly influence ERP performance in the low demanding user-friendly interface group, while systemspecification and socio-organizational integration significantly influence ERP performance in the high demanding user-friendly group. The research model explains 50 and 46% respectively of ERP performance in each group.

show abstract

“…Many studies have been made to identify, propose, prioritize and categorize factors that contribute to the success of IS integration implementation, which some have propose on general IS success model [14], while others compare the degree of impact from the factors to IS implementation success, and some literatures [27], [28] had concentrated specifically on factors that support IS Integration success. Kumar et al [28]'s study had focus on positioning a conceptual research model of IS integration measures and factors influencing successful IS integration drawn from the IS Success Model [14] where they "adopt the process view to IS integration and recognize that IS integration success is a multidimensional construct [28]".…”

Section: Factors That Contributes To Success and Failures Of Is Integmentioning

confidence: 99%

The need of Information Systems (IS) Integration Complexity Model for IS integration project

Arshah

Desa

Hussin

2008

2008 International Symposium on Information Technology

View full text Add to dashboard Cite

There is a need to address issues related to IS integration since integration are essential to organizations to move forward and supporting their business functions. However, there is no tool available to assess the complexity of IS integration, before thinking of measuring the success of integration initiative. If we can device a framework that depict the scenario of IS integration in organisation, it will be the first step to assist organisation understanding the IS integration status, whether they are on the right track, knowing what they are lacking of to proceed with integration, and whether they are using the right technology as solution to their integration problems. Thus, a construction of complexity model that depict the IS integration scenarios is proposed to assist in assessment of IS integration project.

show abstract

Critical Success Factors for Managing Systems Integration

Cited by 52 publications

References 5 publications

Production planning and scheduling using integrated data structures in ERP: Implementation and numerical simulation

Production planning and scheduling using integrated data structures in ERP: Implementation and numerical simulation

Understanding the influence of integration on ERP performance

The need of Information Systems (IS) Integration Complexity Model for IS integration project

Contact Info

Product

Resources

About