Logistics-related determinants of regional gross domestic product - an exploratory investigation

Existing research suggests a link between a country’s infrastructure quality and its economic performance. However, no country can invest in all types of infrastructure across the country. Therefore, it is critical to identify and assess multiple indicators of infrastructure for regions within a country and focus on improving infrastructure as identified by the weak indicators. Research investigating the determinants of regional wealth and economic growth is limited. In this comprehensive research including all 35 regions in Austria, we began by evaluating the relationship between logistics-related infrastructure and regional gross domestic product. In the process, other indicators, and mediators such as knowledge infrastructure, business attractiveness emerged as impacting gross domestic product. The findings help to better understand the relative importance of diverse logistics indicators influencing regional economic development and provide insights for policy decision-making

Monitoring partnership networks- A graph theory approach

peer reviewedRecently, companies are forming strong relationships with their strategic suppliers and customers in order to maximize their profit in the global market. Such a partnership or strategic alliance is based on the mutual needs of both parties. A partnership network is formed by different strategic firms (e.g., suppliers, manufacturers, distributors, retailers) who intend to establish strong relationships together but without losing their ownership, power and control on the firm. For example, if supplier X has a strong relationship with customer Y and Y has a strong relationship with supplier Z, then X, Y and Z can form a partnership network with three nodes (X, Y and Z) and two edges (X ->Y and Z->Y). In this paper, we develop a statistical methods to study the normal behaviour of partnership networks. We furthermore develop a methodology that will help diagnose the nature of identified unusual network behavior

Comparing service, product, and process innovations: Insights from the internal supply chain network of a European steel manufacturing firm

A case research approach is employed for investigating and comparing managerial perceptions of the three types of innovation (service, product, and process innovations) within the context of cross-functional network of a European steel manufacturing firm. The insights result in the development of a typology of innovation projects based on origin, context, scope, benefits, and degree of complexity. The findings embedded in Resource Based View and Service Dominant Logic, reveal divergent aspects of the three types of innovation such as disparate reasons for undertaking each type of innovation and distinct internal and external success factors, as well as convergent aspects of the innovation types such as similar challenges. This research explores the three types of innovation in a single firm in a single study and provides a middle ground for the two extant schools of thought (one viewing product, service, and process innovations as entirely different processes and the other viewing all three as essentially same processes)

Propagation of disruptions in supply networks of essential goods: A population-centered perspective of systemic risk:Propagation of disruptions in supply networks of essential goods: A population-centered perspective of systemic risk

The Covid-19 pandemic drastically emphasized the fragility of national and international supply networks (SNs),leading to significant supply shortages of essential goods for people, such as food and medical equipment. Severe disruptions that propagate along complex SNs can expose the population of entire regions or even countries to these risks. A lack of both, data and quantitative methodology, has hitherto hindered us to empirically quantify the vulnerability of the population to disruptions. Here we develop a data-driven simulation methodology to locally quantify actual supply losses for the population that result from the cascading of supply disruptions. We demonstrate the method on a large food SN of a European country including 22,938 business premises, 44,355 supply links and 116 local administrative districts. We rank the business premises with respect to their criticality for the districts' population with the proposed systemic risk index, SRIcrit, to identify around 30 premises that -- in case of their failure -- are expected to cause critical supply shortages in sizable fractions of the population. The new methodology is immediately policy relevant as a fact-driven and generalizable crisis management tool. This work represents a starting point for quantitatively studying SN disruptions focused on the well-being of the population.Comment: *The authors acknowledge the equal contributions of WS and C