Giotopoulos ***, Grigoris Pavlou, Svetoslav Danchev and Aggelos Tsakanikas
During the recent economic crisis, public procurement reforms have received a great attention as a key mechanism that enables significant cost savings and improves transparency in…
Abstract
During the recent economic crisis, public procurement reforms have received a great attention as a key mechanism that enables significant cost savings and improves transparency in the public sector, particularly in countries which are under a process of extensive fiscal consolidation like Greece. This paper examines the effects of improved transparency on public procurement cost in the light of the ongoing structural reforms taking place in Greece. The basic finding indicates that ensuring transparent practices in public procurement processes reduces government expenditures by about 1.8 - 3.4 percentage points. A dataset on 2309 public supply contracts for goods was used, supplementing the pooled OLS estimates with quantile regressions.
Harri Jalonen and Antti Lönnqvist
The purpose of this paper is to present a conceptual analysis of the theoretical and managerial bases and objectives of predictive business. Predictive business refers to…
Abstract
Purpose
The purpose of this paper is to present a conceptual analysis of the theoretical and managerial bases and objectives of predictive business. Predictive business refers to operational decision‐making and the development of business processes on the basis of business event analysis. It supports the early recognition of business opportunities and threats, better customer intimacy and agile reaction to changes in business environment. An underlying rationale for predictive business is the attainment of competitive advantage through better management of information and knowledge.
Design/methodology/approach
The approach to this article is conceptual and theoretical. The literature‐based discussion and analysis combines the perspectives of business performance management, business intelligence, and knowledge management to provide a new model of thinking and operation.
Findings
For a company predictive business is simultaneously a practical challenge and an epistemic one. It is a practical challenge because predictive business presupposes a change in the company's modes of operation. It is also an epistemic challenge, since it concerns the company's ability to find appropriate balance between knowledge exploitation and knowledge exploration.
Research limitations/implications
Further research should be carried out on the functionality of practical applications as well as the attitudinal and technical preparedness of companies to adopt a new mode of operation. As a subject of investigation, the world of business events offer interesting methodological possibilities, since the basis of the work is the gathering and analysis of large quantities of information on operational activities.
Originality/value
There has been little research concerning business events in knowledge management context. This article presents a theoretically founded basis for predictive business, combining the concept of analysing business events with previous research in the field of knowledge management.