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1 – 10 of 21Michel Coulmont, Stacey Loomis, Sylvie Berthelot and Francesco Gangi
In the past decades, Dutch public sector organizations (PSOs) have been encouraged to become more “business-like” in their internal control and accountability processes, following…
Abstract
Purpose
In the past decades, Dutch public sector organizations (PSOs) have been encouraged to become more “business-like” in their internal control and accountability processes, following a more general trend toward New Public Management (NPM) in Western societies. However, in the Netherlands, this trend has met with increasing resistance and discontent among public sector professionals. In this chapter, a framework is developed that enables these public sector professionals themselves to discuss and reflect on their internal control and accountability processes, and possibly to effect changes in it.
Methodology/approach
The chapter contains a critical analysis of existing research on management control, accountability, and learning in PSOs and describes a reflection and discussion session with a group of senior staff employees at a Dutch university, employing the framework developed in this chapter.
Findings
It is argued that, generally speaking, the “business-like” approach of NPM does not appear appropriate for most public sector activities and may even negatively affect accountability and learning in PSOs.
Social implications
The chapter critically assesses the impact of NPM on PSOs and provides an alternative to NPM in the form of experimentalist governance, with possible positive implications for the effectiveness of public sector activities.
Originality/value
This chapter is among the first to adapt a framework, developed for scientific and descriptive use, for more practical and prescriptive purposes, that is, as an instrument for public sector professionals to discuss and reflect on their internal control and accountability processes.
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Hester Van Herk and Sjoukje P. K. Goldman
In business and management, cross-national and cross-cultural comparisons between countries have been a topic of interest for many decades. Not only do firms engage in business in…
Abstract
In business and management, cross-national and cross-cultural comparisons between countries have been a topic of interest for many decades. Not only do firms engage in business in different countries around the world but also within countries. The population has become more diversified over time, making cross-cultural comparisons within country boundaries increasingly relevant. In comparisons across cultural groups, measurement invariance (MI) is a prerequisite; however, in practice, MI is not always attained or even tested. Our study consists of three parts. First, we provide a bibliometric analysis of articles on cross-cultural and cross-national topics in marketing to provide insight into the connections between the articles and the main themes. Second, we code articles to assess whether researchers follow the recommended steps as outlined in the multigroup confirmatory factor analysis (MGCFA) approach. The results indicate that MI testing is incorporated in the toolbox of many empirical researchers in marketing and that articles often report the level of invariance. Yet, most studies find partial invariance, meaning that some items are not comparable across the cultural groups studied. Researchers understand that MI is required, but they often ignore noninvariant items, which may decrease the validity of cross-cultural comparisons made. Third, we analyze the dissemination of MI in the broader literature based on co-citations with Steenkamp and Baumgartner (1998), a widely cited article on MI in the field of marketing. We conclude by noting methodological developments in cross-cultural research to enable addressing noninvariance and providing suggestions to further advance our insight into cross-cultural differences and similarities.
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David F. Midgley, Sunil Venaik and Demetris Christopoulos
The aim of this chapter is to: (1) model culture as a configuration of multiple values, (2) identify different culture archetypes across the globe, and (3) empirically demonstrate…
Abstract
The aim of this chapter is to: (1) model culture as a configuration of multiple values, (2) identify different culture archetypes across the globe, and (3) empirically demonstrate heterogeneity in culture archetypes within and across 52 countries. We use Schwartz values from the World Values Survey (WVS) and the archetypal analysis (AA) method to identify diverse culture archetypes within and across countries. We find significant heterogeneity in culture values archetypes within countries and homogeneity across countries, calling into question the assumption of uniform national culture values in economics and other fields. We show how the heterogeneity in culture values across the globe can be represented with a small number of distinctive archetypes. The study could be extended to include a larger set of countries, and/or cover a broader range of theoretically grounded values than those available in the Schwartz values model in the WVS. Research and practice often assume cultural homogeneity within nations and cultural diversity across nations. Our finding of different culture archetypes within countries and similar archetypes across countries demonstrates the important role of culture sharing and exchange as a source of reducing cultural conflicts between nations and enhancing creativity and innovation through interaction and integration in novel ways. We examine culture as a configuration of multiple values, and use a novel AA method to capture heterogeneity in culture values within and across countries.
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Shenja van der Graaf, Le Anh Nguyen Long and Carina Veeckman
Anastasija Nikiforova, Artjoms Daskevics and Otmane Azeroual
Nowadays, there are billions interconnected devices forming Cyber-Physical Systems (CPS), Internet of Things (IoT) and Industrial Internet of Things (IIoT) ecosystems. With an…
Abstract
Nowadays, there are billions interconnected devices forming Cyber-Physical Systems (CPS), Internet of Things (IoT) and Industrial Internet of Things (IIoT) ecosystems. With an increasing number of devices and systems in use, amount and the value of data, the risks of security breaches increase. One of these risks is posed by open data sources, which are databases that are not properly protected. These poorly protected databases are accessible to external actors, which poses a serious risk to the data holder and the results of data-related activities such as analysis, forecasting, monitoring, decision-making, policy development, and the whole contemporary society. This chapter aims at examining the state of the security of open data databases representing both relational databases and NoSQL, with a particular focus on a later category.
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