Search results

Since the European Union’s (EU) Charter of Fundamental Rights became binding in 2009, data protection has attained the status of a fundamental right (Article 8) throughout the EU. This chapter discusses the relevance of data protection in the context of security. It shows that data protection has been of particular relevance in the German context – not only against the backdrop of rapidly evolving information technology, but also of the historical experiences with political regimes collecting information in order to oppress citizens.

This paper aims to overcome the inability of both comparing loss costs and accounting for production resource losses of Overall Equipment Effectiveness (OEE)-related approaches.

The authors conducted a literature review about the studies focusing on approaches combining OEE with monetary units and/or resource issues. The authors developed an approach based on Overall Equipment Cost Loss (OECL), introducing a component for the production resource consumption of a machine. A real case study about a smart multicenter three-spindle machine is used to test the applicability of the approach.

The paper proposes Resource Overall Equipment Cost Loss (ROECL), i.e. a new KPI expressed in monetary units that represents the total cost of losses (including production resource ones) caused by inefficiencies and deviations of the machine or equipment from its optimal operating status occurring over a specific time period. ROECL enables to quantify the variation of the product cost occurring when a machine or equipment changes its health status and to determine the actual product cost for a given production order. In the analysed case study, the most critical production orders showed an actual production cost about 60% higher than the minimal cost possible under the most efficient operating conditions.

The proposed approach may support both production and cost accounting managers during the identification of areas requiring attention and representing opportunities for improvement in terms of availability, performance, quality, and resource losses.

This paper aims to explore how the scientific literature and company reports have addressed inclusive workplace design and strategies to date.

This paper adopts a scoping review to answer the following question: To what extent is inclusion present in workplace design and related strategies? An analysis of 27 scientific papers and 25 corporate social responsibility reports of the highest-ranked companies in the Great Place to Work global ranking disentangles the main aspects related to workplace design and strategies for promoting inclusion.

This paper opens avenues for four macro-categories of diversity (psycho-physical aspects; cultural aspects; socio-economic conditions; and ability, experience and strengths) to support the development of inclusive workplace design and strategy. Besides, multiple spatial scales emerged as material and immaterial elements of the workplace encountering inclusion and diversity.

Nowadays, the workforce is becoming more diverse. Although diversity, equity and inclusion (DE&I) has become key to many organizations, it remains unclear how DE&I principles are applied in workspace design and strategies. This scoping review provides a novel perspective on the topic by integrating scientific knowledge and practice-based approaches which still address this matter independently.

We study the contemporaneous effects of US monetary policy normalization on African stock market using panel data from six African countries.

Daily data from May 1, 2013 to December 31, 2018 were used in order to accommodate the announcement effects since the US monetary policy normalization announcement was made in May 2013, while the rate hike was in December 2015. The study used the FE, RE and PMG models.

The results revealed that US 10-year bond yield and Treasury bill rate shocks negatively affect stock prices in Africa. S$P500 shock positively affects African stock prices.The result revealed that the integration of African financial market to the global financial market is a major source of vulnerability. The finding that US Treasury bill rate is a major depressant of the African stock prices reveals the short-termism of foreign polio inflows into African economies.

We provide inexorably insight into the interplay of financial systems globally. It can be useful for the purposes of generalization in developing economies in the shape of African countries. More so, this study could be replicated in another economic bloc or region with the aim of further exposing the far-reaching spillover effects of the US monetary policy normalization.

This study aims to deepen the understanding of the challenges and implications entailed by deploying mobile clinics in conflict zones to reach populations affected by violence and cut off from health-care services.

This research combines an integrated literature review and an instrumental case study. The literature review comprises two targeted reviews to provide insights: one on conflict zones and one on mobile clinics. The case study describes the process and challenges faced throughout a mobile clinic deployment during and after the Iraq War. The data was gathered using mixed methods over a two-year period (2017–2018).

Armed conflicts directly impact the populations’ health and access to health care. Mobile clinic deployments are often used and recommended to provide health-care access to vulnerable populations cut off from health-care services. However, there is a dearth of peer-reviewed literature documenting decision support tools for mobile clinic deployments.

This study highlights the gaps in the literature and provides direction for future research to support the development of valuable insights and decision support tools for practitioners.

A summary of the economic impact resulting from the celebration of a sporting mega-event in the city of Cali, Colombia, is carried out in this article.

The impacts are estimated by means of the systematic effects produced by the activities of investment/expenditure of the identified agents and the consequent multiplying effects captured from an input-output model.

The World Games represented a new income flow to the city of Cali of $101.036 million pesos (≡US$53.4 mill.) and 9.598 jobs were created (≡7,711 full-time jobs). Additionally, 2,174 foreign tourists and 11,250 national tourists were attracted to the city.

The article contributes with innovative aspects methodologically speaking, useful for future studies of economic impact in cities with low tourism located in developing countries.

This study aims to examine the most influential drivers, both product-specific and consumer-specific, affecting Asian consumers' willingness to pay (WTP) for organic olive oil.

To individuate the most influential drivers of WTP for organic products and to assess their effect, in terms of configurational paths and consumer profiles, this study sequentially employs explorative factor analysis approach and a fuzzy-set qualitative comparative analysis method. The survey is carried out in different areas of Asia (e.g. Pakistan, Vietnam and China).

The results suggest that Asian consumers' WTP for organic products is described by consumer-specific drivers (gender, occupation and household size) as well as product-specific drivers (product authenticity and sustainability, consumer ethnocentrism and food fraud risk perception).

The findings of the study permit the identification of different drivers that move consumers' WTP for organic olive oil. The study contributes to setting the ground for companies to propose and implement efficacious marketing strategies for organic olive oil in importing countries, such as Asia.

The scaling of social initiatives is important to achieve broad social impact based on successful small-scale experiments. This paper focuses on the influence of the characteristics of the initiators of social initiatives on scaling processes. The limited literature on this topic highlights two critical actor characteristics: high entrepreneurial skills and a central position in the area. Both characteristics influence two critical components of the scaling process: mobilizing stakeholders and focusing on retaining effectiveness. The purpose of this paper is to explore these complex relationships in a deductive analysis and to use these findings for an inductive analysis to generate new insights and extend our academic understanding.

A comparative qualitative study of 20 social initiatives in the Dutch social sector was conducted, including 48 in-depth interviews with initiators and stakeholders in three different areas – mental health, debt and labour participation.

High entrepreneurial skills are more important for mobilizing stakeholders and focusing on retention of effectiveness than the position of the initiators, but these are a condition rather than a guarantee. Creating space for scaling and investing in measuring effectiveness in other contexts are also important.

By combining the literature on social entrepreneurship and public innovation and conducting an empirical study, our study provides a broad and nuanced picture and brings precision to our understanding of the relationships between initiators' entrepreneurial skills and position and the scaling process.

Organizations in many domains generate a considerable amount of heterogeneous data every day. Such data can be processed to enhance these organizations’ decisions in real time. However, storing and processing large and varied datasets (known as big data) is challenging to do in real time. In machine learning, streaming feature selection has always been considered a superior technique for selecting the relevant subset features from highly dimensional data and thus reducing learning complexity. In the relevant literature, streaming feature selection refers to the features that arrive consecutively over time; despite a lack of exact figure on the number of features, numbers of instances are well-established. Many scholars in the field have proposed streaming-feature-selection algorithms in attempts to find the proper solution to this problem. This paper presents an exhaustive and methodological introduction of these techniques. This study provides a review of the traditional feature-selection algorithms and then scrutinizes the current algorithms that use streaming feature selection to determine their strengths and weaknesses. The survey also sheds light on the ongoing challenges in big-data research.