Structuring the phenomenon of procurement digitalisation: contexts, interventions and mechanisms

Purpose - The study develops a structure for procurement digitalisation by identifying its context drivers, technology interventions and performance-inducing mechanisms and exploring the linkages between these variables.Design/methodology/approach - The study draws on rich interview and workshop data on 48 digital intervention projects, as reflected by mental models of managers from 12 case organisations in manufacturing, retail and service sectors. Supported by an a priori structure, the study employs an abductive cross-case analysis approach.Findings - Results suggest several categories within the elements of context, intervention and mechanism to structure procurement digitalisation and the linkages between them. Seven propositions that reflect digitalisation strategy options in procurement are developed regarding the linkages. Internal complexity dominantly drives procurement digitalisation, motivating communication support and process structuring interventions, which in turn aim at procurement coordination and control as well as process improvement. External coercive pressure and external dynamism also drive interventions for information processing and decision aiding, which appear to be linked with supply market knowledge, strategic alignment and supplier capability assessment. Therefore, an internal-external dichotomy is observed as the main thrust of procurement digitalisation.Practical implications - The study supports decision makers in developing digitalisation strategy options for different procurement contexts. The results also raise awareness of a possible bias in existing strategies for procurement digitalisation.Originality/value - A novel forward-looking approach is employed to enable the design and construction of systems that do not yet exist by focusing on the mental models of managers in a systematic way

Motivation and IT project success

The goal of this literature review is to Compare and contrast the types of quantitative research approaches used to conduct studies on the relationship between motivation and IT project success. Additionally, the secondary goal is to Examine and discuss the issues of sampling, validity, reliability, and bias within these contexts. Wester, Borders, Boul, and Horton (2013) define research as, "An activity conducted to increase knowledge by systematically collecting, analyzing, and interpreting data to answer carefully formulated questions about publicly observable phenomena." (p. 280). Research is a critical part of the scientific method that allows our society and species to understand the world around us. Research can be divided into multiple categories. The two predominant research categories are qualitative and quantitative. Simply making the choice between quantitative and qualitative research is a challenge that deadlocks many research projects. Students struggle with this very dilemma, often changing the direction of their research multiple times before settling on a solid direction

AMHUB - Additive Manufacturing Hubs for Radical Innovation in Digital Part Delivery Logistics:Final report of Business Finland Co-Creation project

The AMHUB vision is is to provide additive manufacturing as-a-service for customers needing high quality parts. In AMHUB pre-qualified service providers work efficiently together under a network of additive manufacturing HUBs to provide the required additive manufacturing and delivery end-to-end service for customers with one stop- shop principle.This report describes the AMHUB visionary concept created based on the collected key insights from company discussions

Allele-specific regulation of MTTP expression influences the risk of ischemic heart disease

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