PurposeBusiness renovation, the effective utilisation of information technology and the role of business process modelling and simulation, are all vital in supply chain integration projects. This paper aims to show through a combination of these methods how the performance of the supply chain can be improved with the renovation and integration of processes at various tiers in the chain and by the sharing of information between companies.Design/methodology/approachSimulation‐based methodology for measuring the benefits of the creation and renovation of business process models combines the methodology of developing process models and its simulation with the simulation of supply and demand. A procurement process in the oil/retail petrol industry is examined in a case study.FindingsUsing the proposed methodology, different business process models can be investigated and simulated. The benefits for each company involved in the presented case are substantial and can be estimated through a simulation. Substantial benefits in costs, quality and lead times were identified, however, their distribution is not symmetric. Inter‐organisational IS and applied technology were enablers for supply chain integration. However, organisational changes and new business models were prerequisites for obtaining those benefits.Practical implicationsThe process approach to supply chain integration presents a mechanism that can be applied to any industry. It represents a systematic methodological business renovation approach involving cost cuts, quality improvements and lead‐time improvements. The costs of supply chain integration projects were not studied. The benefits should be measured against the cost of testing the economic feasibility of such projects.Originality/valueThe effective utilisation of business process modelling and a simulation of the necessary business renovation are shown. The novel combination of business process and demand/supply simulation enables an estimation of changes in lead‐times, process execution costs, quality of the process and inventory costs. Although the methodology is presented through a case study of the oil/retail petrol industry, it can also be used to estimate the benefits and monitor supply chain integration projects in other industries.
Although the constituents of information systems success and their relationships have been well documented in the business value of information technology literature, our understanding of how information behaviors and values affect the relationships among strategic information systems success dimensions is limited. In response, we conduct a quantitative study of 146 medium and large firms that have implemented a business intelligence system in their operations. Our results highlight that information sharing values, information informality, and information proactiveness act as significant moderators of information systems success relationships amidst volitional environment. Information use depends on information quality and system use intention. Information sharing subdues information quality -information use link. Increasing informality suppresses system quality influence on system use intention. Increasing proactiveness fortifies information use -system use relationship.1
The growing importance of IT in new ways of doing business, bringing with it ever greater empowerment, competencies, and skills of people associated with IT use, reveals that traditional views that individuals decide to accept new or emerging IT mostly based on their effort and performance perceptions or a similar individualistic utilitarian criteria may no longer satisfactorily explain the individual's acceptance behavior. Socio-organizational considerations encompassing normative and behavioral beliefs have so far only been recognized as potential additional predictors of acceptance, moderated, or mediated by certain effects and circumstances, whereas performance perceptions remain the strongest predictor of IS acceptance. The authors' mixed-methods study drives acceptance in the business intelligence and analytics (BI&A) context, comprising literature review, case studies and a survey, which reveals socio-organizational considerations have become more important than individualistic considerations arising from the visibility and recognition of the results of BI&A use in an organization.
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