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The purpose of this paper is to empirically explore the potential of outsourcing of humanitarian logistics activities to commercial logistics service providers (LSPs) throughout the different disaster phases. The authors identify incentives for initiating outsourcing of humanitarian logistics activities to commercial logistics providers, humanitarian logistics activities to be outsourced and selection criteria for partners.

This study is based on empirical data collected by interviewing 12 practitioners from commercial LSPs and 12 practitioners from humanitarian organizations (HOs). A review of related literature guided this research.

This research shows that incentives for initiating outsourcing engagements, partner selection criteria and activities to be outsourced are changing throughout the different disaster phases. A number of research propositions are presented.

This research constitutes a first step towards the goal of a comprehensive analysis of humanitarian logistics outsourcing throughout the different disaster phases. The authors collected data from practitioners and large organizations based mainly in Europe and the USA. Hence, insights from national and local organizations of other parts of the world are missing.

This research provides a deeper understanding of outsourcing of humanitarian logistics activities. As the main implication for practice, the research suggests a strategic use of outsourcing during the three disaster phases. The authors acknowledge that business objectives, risks, stakeholder agendas and requirements, as well as costs play a vital and changing role for outsourcing decision-making during the three disaster stages. The managerial implications arising from the research can provide support to commercial LSPs and HOs that initiate or develop strategic outsourcing relationships.

This study covers the gap in the humanitarian literature related to context-specific factors of outsourcing in humanitarian logistics by empirically investigating the phenomenon. This is one of the first studies that empirically investigate the potential of outsourcing of humanitarian logistics activities throughout the disaster phases.

This study investigated the contribution of artificial intelligence (AI) to the efficiency of customer service. This study contributes to services technological innovation in process management, a field not yet settled in the literature.

AI is a multidisciplinary field of research that has stood out for the technological dynamism provided to organizational products and processes. The study was carried out at an Analytical Intelligence Unit (AIU) of a Brazilian commercial bank that applies AI integrated with IBM's Watson system. The study used data content analysis, structured and supported by Atlas.ti software.

The notorious AI cognitive maturity evolution allowed 181 million interactions and 7.6 million attendances in 2020, improving services efficiency, with gains in agility, availability, accessibility, resoluteness, predictability and transshipment capacity. The chatbot service reduced the queues of call centers and relationship centers, allowing the human attendant to perform more complex attendances.

The main limitations of this study relate to the research cutout and its borders, such as the choice of participants and their areas of activity, and the choice of the unit of analysis.

The results indicated that attendance through the virtual assistant increased by more than a 1,000% from 2019 to 2020, demonstrating the bank was technologically ready to face the Covid-19 pandemic effects.

In line with the evolutionary theory of innovation, the authors concluded that technological scaling in AI allows exponential gains in customer service efficiency and business process management. They also conclude that the strategy for creating AIUs is successful, once it allows centralizing, structuring and coordinating AI projects in R&D cooperation, cognitive computing and analytics.

Cities remain an understudied unit of analysis for understanding the motives of multinational enterprises’ (MNE) foreign direct investment (FDI), with subnational locations in International Business (IB) research to date predominantly captured via the phenomenon of agglomeration. As regional integration projects, such as the European Union and to a lesser degree NAFTA, increasingly reduce the importance of national institutional environments, this paper argues regional and subnational levels become more important for studying MNE location choice. This paper aims to evaluate the explanatory contribution of regional and subnational levels of analysis to understanding MNE location choice.

A qualitative deductive bottom-up multiple-case study research design is adopted to study the city location choices and FDI motives of six automotive and six commercial banking companies. These purposefully sampled manufacturing and service MNEs have different home countries and regional orientations. Data on their foreign investments across the extended Triad of Europe, North America and Asia-Pacific were collected for the time period of 2000–2021.

Findings suggest that different classes of city tend to attract specific types of FDI and that these patterns might vary across sectors and be influenced by the regional strategic orientations of MNEs. Industry-specific findings reveal the importance of related and support industries and partners in a city location for the automotive MNEs, while the commercial banks seek investment opportunities in cities that allow acquisition targets that have an attractive customer based and will improve their local market knowledge.

The findings provide evidence in support of MNEs in manufacturing and service industries perceiving the attractiveness of three city types in different ways across the Triad regions.

The study aims to explore the benefits of service productisation to provide further understanding on the productisation concept as support for business processes and service management. The concept has been deficiently discussed regardless of the potential significance to the whole formed by service products, business processes, information technology (IT), people and data.

In the study, the exploratory empirical evidence is presented from 16 cases, 4 of which are from companies that are globally well-known.

The key findings of the paper include an overview of the benefits of service productisation and the relation to service offering, service processes and related resources. The concept links to the management of the whole formed by service products, business processes, IT, people and data. The noted benefits seem to be applicable to productisation of different service types, whilst some service characteristics may affect the specific emphasis.

The limitations involve using secondary data, which, however, makes the cases less biased regarding the aims. Primary data are required to gain further insights into the phenomena and the identified benefits.

The findings provide support for issues that are commonly discussed by practitioners on a concept that is less studied by the scientific literature. Practitioners can work towards organisational efficiency and effectiveness by understanding the benefits of productisation. Understanding service productisation can support the effective management of business processes and work towards prosperity in the service business.

The study is the first one to analyse the benefits of service productisation by exploring the issue through multiple cases and attempting to identify aspects for further attention by the academic community.

India started economic reforms at a rapid pace to catch up the world economy by following the services-led-growth model during the post-liberalisation period. Over the years, the growing unemployment rate posits a re-look into the dynamics of growth model for wider work force participation. In this backdrop, the paper aims to examine the dynamics of structural changes in employment pattern in view of economic growth led by services-led growth model in India.

The study employs a non-linear autoregressive model (NARDL) to examine the effect of the growth rates in three broad economic sectors namely agriculture and allied, services and industry on work force participation representing the employment opportunities in India.

The results highlight that the rapid expansion of the service sector has not occurred with enough employment opportunities by the same rate. By contrast, the growth in the industrial sector significantly creates employment opportunities in the short and long run. These results support the industry led growth model over the services for sustainable and inclusive economic growth in the country.

The study relies on combined labour force participation rates rather than gender-specific rates. Further, the regulatory, working conditions and economic incentives may affect the gender-specific engagement of the labour force in three broad sectors.

The results offer important insight into changing patterns in employment with policy lessons. A wider workforce force participation calls for expansion of manufacturing activities through pro-industry programmes.

The study makes pioneer efforts to examine the dynamics of labour force participation with respect to the growth of three broad economic sectors of the Indian economy. The results provide new insights with policy implications for the changing employment pattern and policy response.

Aircraft fail to meet mission capable rate goals due to a lack of supply of aircraft parts in inventory where the aircraft breaks. This triggers an order at the repair location. To maximize mission capable rate, the time from order to delivery needs to be minimized. The purpose of this research is to examine the case of three airfields for the order to delivery time of mission critical aircraft parts for a specific aircraft type.

This research captured data from three information systems to assess the order fulfillment process. The data were analyzed to determine the performance in fiscal year 2020. Using the model of that performance, the cost of reducing transportation times using publicly available commercial cost estimates was assessed against the impact on aircraft availability.

The results indicate that paying the costs for expedited shipping would have increased aircraft availability by 1.09 times the average annual aircraft flying hours for the three cases. The cost for the equivalent of an additional aircraft for the year was a third of the annual straight-line depreciation for that aircraft type.

This research assumed that the transportation time service levels publicly posted could be achieved. The weight of each mission critical part was not available, so the weight was selected from a probability distribution of mission critical part weights that was retrieved from prior research. This research provides options to enhance aircraft availability and identifies the associated costs.

Adjusting the contract with transportation providers to reduce the transportation times of mission critical parts could have a large impact on aircraft availability at relatively little cost.

This research could enhance aircraft readiness in service of the common defense.

This research provides an effective methodology for enhancing military readiness through contract adjustments with commercial partners. The value of this research is that it will serve to adjust the value proposition of mission critical parts inside the United States Transportation Command’s Next Generation Delivery Service contract.