Enterprise Systems Adoption and Firm Performance in Europe: The Role of Innovation

Despite the ubiquitous proliferation and importance of Enterprise Systems (ES), little research exists on their post-implementation impact on firm performance, especially in Europe. This paper provides representative, large-sample evidence on the differential effects of different ES types on performance of European enterprises. It also highlights the mediating role of innovation in the process of value creation from ES investments. Empirical data on the adoption of Enterprise Resource Planning (ERP), Supply Chain Management (SCM), Customer Relationship Management (CRM), Knowledge Management System (KMS), and Document Management System (DMS) is used to investigate the effects on product and process innovation, revenue, productivity and market share growth, and profitability. The data covers 29 sectors in 29 countries over a 5-year period. The results show that all ES categories significantly increase the likelihood of product and process innovation. Most of ES categories affect revenue, productivity and market share growth positively. Particularly, more domainspecific and simpler system types lead to stronger positive effects. ERP systems decrease the profitability likelihood of the firm, whereas other ES categories do not show any significant effect. The findings also imply that innovation acts as a full or partial mediator in the process of value creation of ES implementations. The direct effect of enterprise software on firm performance disappears or significantly diminishes when the indirect effects through product and process innovation are explicitly accounted for. The paper highlights future areas of research.Enterprise Systems; ERP; SCM; CRM; KMS; DMS; IT Adoption; Post-implementation Phase; IT Business Value; Innovation; Firm Performance; Europe

Datafication of Knowledge Work: A Framework and Research Agenda

Datafication is moving into the center of value creation in the knowledge intensive organization. Datafication describes the transformation of qualitative behavior and tacit knowledge into quantified actions and codified data. While traditional assumptions on knowledge work highlights individual autonomy in shaping job tasks and fitting abilities for productive work, the consequences of datafication for knowledge work are not yet well understood. We build on the contingency theory of performance as theoretical lens to derive a framework that addresses relevant future research questions in the evolving field of datafication in knowledge work. The proposed multi-level framework considers assumptions and elements from traditional productive knowledge work in combination with determinants of digital workplaces and organizational factors along the lines of data-based value creation and (semi-)automated decision making. For the future, we suggest viewing datafied knowledge work as a socio-technical phenomenon, thereby constituted of human-dominated knowledge work in convergence with technological-dominated algorithmic thinking

Investigating knowledge management factors affecting Chinese ICT firms performance: An integrated KM framework

This is an Author's Accepted Manuscript of an article published in the Journal of Information Systems Management, 28(1), 19 - 29, 2011, copyright Taylor & Francis, available online at: http://www.tandfonline.com/10.1080/10580530.2011.536107.This article sets out to investigate the critical factors of Knowledge Management (KM) which are considered to have an impact on the performance of Chinese information and communication technology (ICT) firms. This study confirms that the cultural environment of an enterprise is central to its success in the context of China. It shows that a collaborated, trusted, and learning environment within ICT firms will have a positive impact on their KM performance

Knowledge Management and Organisational Culture

This international Handbook provides a comprehensive overview of key topics, debates and issues within the now well-established field of Knowledge Management (KM)

An Empirical Investigation of the Willingness of US Intelligence Community Analysts to Contribute Knowledge to a Knowledge Management System (KMS) in a Highly Classified and Sensitive Environment

Since September 11, 2001, the United States Government (USG) has possessed unparalleled capability in terms of dedicated intelligence and information collection assets supporting the analysts of the Intelligence Community (IC). The USG IC has sponsored, developed, and borne witness to extraordinary advances in technology, techniques, and procedures focused on knowledge harvesting, knowledge sharing, and collaboration. Knowledge, within successful (effective & productive) organizations, exists as a commodity; a commodity that can be created, captured, imparted, shared, and leveraged. The research problem that this study addressed is the challenge of maintaining strong organizational effectiveness and productivity through the use of an information technology-based knowledge management system (KMS). The main goal of this study was to empirically assess a model testing the impact of the factors of rewards, power, centrality, trust, collaborative environment, resistance to share, ease-of-using KMS, organizational structure, and top management support to inducement, willingness to share, as well as opportunity to contribute knowledge to a KMS on knowledge-sharing in a highly classified and sensitive environment of the USG IC. This study capitalized on prior literature to measure each of the 15 model constructs. This study was conducted with a select group of USG Departments and Agencies whose primary interest is Intelligence Operations. This study solicited responses from more than 1,000 current, as well as former, Intelligence Analysts of the USG IC, using an unclassified anonymous survey instrument. A total of 525 (52.5%) valid responses were analyzed using a partial least squares (PLS) structural equation modeling (SEM) statistical technique to perform model testing. Pre-analysis data screening was conducted to ensure the accuracy of the data collected, as well as to correct irregularities or errors within the gathered data. The 14 propositions outlined in this research study were tested using the PLS-SEM analysis along with reliability and validity checks. The results of this study provide insights into the key factors that shed light onto the willingness of US intelligence community analysts to contribute knowledge to a KMS in a highly classified and sensitive environment. Specifically, the significance of a knowledge worker’s willingness to contribute his/her knowledge to a KMS along with the opportunity to contribute knowledge, while inducement was not a significant factor when it comes to knowledge sharing using KMS in highly classified environments

Storing and sharing knowledge: Supporting the management of knowledge made explicit in transnational organisations

Purpose - The purpose of this paper is to indicate and illustrate the potential for use of different types of technologies to support knowledge process in transnational organisations. Design/methodology/approach - The paper uses a standard literature review plus illustrations from case organisations to demonstrate the potential applications and value of technology for knowledge sharing. Findings - Transnational organisations have specific issues relating to space and time, and increasingly virtuality, in their working practices. Technology can assist to alleviate these issues and can provide the organisations with ways to share and distribute knowledge throughout their processes, sites and workforces. Successful knowledge management however, continues to need a sociotechnical approach where the social aspects of knowledge creation, storage and sharing need to be considered alongside the technical. Sociotechnical theory tells us we must importantly consider people, task, process, and environment (both internal and external) when considering how best to implement technology into our organisations. Research limitations/implications - Case studies that specifically describe the work of transnationals are not common and thus the organisations used as illustrations may be atypical, however we believe this limitation is alleviated by using both a for-profit and a not-for-profit organisation to illustrate the variety of purposes to which technology can be put in transnational organisations. Originality/value - This paper has major practical implications. It is now common in the knowledge management literature to lower the value of technology for knowledge sharing and to emphasise the human aspects of knowledge sharing. This paper agrees with this perspective but illustrates how technology can be used successfully to assist in the knowledge sharing processes across time, space and virtuality

An evaluation of knowledge sharing in South African local government

Knowledge sharing abilities are fundamental to the success of an organisation to meet the needs and demands of the customers. The main purpose of this paper is to investigate the Knowledge Management Systems that can be used to improve the knowledge sharing culture among local government employees. The study used an inductive research approach which included a thorough literature review, and therefore there was no data collected. The study found that there are a number of problems associated with knowledge sharing within South African local government organisations. The organisational culture within municipalities was found not to support the view that an organisation should value the ideas and knowledge that employees create. The study also revealed that some municipalities have many information technology systems in place, but employ several systems in different departments without an enterprise system to integrate these systems. The study therefore recommends that local government must ensure that knowledge sharing practices and initiatives are fully supported and promoted by top management

Re-Examining the Jennex Olfman Knowledge Management Success Model

The Jennex and Olfman KM success model was first published at HICSS in 2004 and in the International Journal of Knowledge Management in 2006. Since then there has been many technology changes and innovations as well as further research on KM success. This paper re-examines the Jennex Olfman model and suggests a newer model that incorporates the past ten years of research and technology innovation

Ethical Fashion Africa Project Update

This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide. Special emphasis is placed on labor rights, working conditions, labor market changes, and union organizing.FLA_Ethical_Fashion_Africa_Update.pdf: 317 downloads, before Oct. 1, 2020