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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 process of performance measurement provides support to company management to achieve the objectives established in strategic planning. Through the definition of critical success factors and related key performance indicators, performance measurement verifies the gap between planned objectives and the results achieved, informing the responsible bodies to enable them to evaluate performance and, if necessary, implement improvement actions. Although many types of companies adopt performance measurement, this process is challenging when applied to national health services. This paper aims to identify the evolution of performance measurement and the critical success factors of national health services.

The authors conducted an explorative case study of a leading national health service to delineate the evolutionary path of performance measurement and the main critical success factors.

The results indicate a significant increase in the maturity of performance measurement of a national health service that has been motivated by international reforms and national regulations. This research highlights performance measurement features such as a balanced set of metrics, targets, and incentives linked to strategic objectives and regular and frequent performance reviews. Furthermore, it identifies the performance measurement model of a leading national health service.

The evolution of performance measurement and numerous critical success factors of national health services are described; the critical success factors cover a wide range of financial to operational aspects such as patient safety, organizational appropriateness, and clinical appropriateness.

Our understanding of the influence of institutional conditions on process innovation is still limited, despite managers’ need to know which factors should be considered in decision-making and governments should be aware of how to foster process innovation through the provision of attractive institutions. Therefore, this paper aims to examine how institutional dimensions such as workforce, political instability, labor regulation, corruption, tax administration and transportation influence process innovation in smaller firms located in emerging countries other than the BRICS (Brazil, Russia, India, China and South Africa).

A data set from the World Bank Enterprise Surveys questioning over 20,000 companies from 41 emerging countries supplemented by the gross domestic product (GDP) per capita for each country was used and analyzed by the means of general linear mixed models. The analysis emphasized small- and medium-sized enterprises (SMEs) and excluded BRICS countries.

The findings demonstrate which institutional factors matter for process innovation depending on company size and GDP.

This paper advances research on the influence of institutions on firm innovation – the institution–process innovation relationship in emerging countries other than the BRICS in particular. By considering the role of company size and GDP per capita on the institution–process innovation relationship, the paper offers more nuanced insights compared with prior studies and thus makes a strong contribution to the innovation theory. The data used are not suitable for a longitudinal study the same refers to capturing the variety found in the countries even those coming from the same geographic area.

The results provide practitioners, e.g. managers of SMEs, with concrete ideas on how to improve process innovation in their companies. Other actors such as policymakers too can benefit from the results as they will allow the design of more target group-oriented measures, aspects that can ultimately lead to more sustainable businesses.

By focusing on process innovation and emerging countries, the paper contributes to growing research efforts in emerging countries beyond the BRICS. Thus, the results add more diversity to the study of process innovation and its influencing external (institutional) factors. The emphasis on SMEs also allows us to highlight differences between different categories of SMEs.

Authorities have set up numerous security checkpoints during times of armed conflict to control the flow of commercial and humanitarian trucks into and out of areas of conflict. These security checkpoints have become highly utilized because of the complex security procedures and increased truck traffic, which significantly slow the delivery of relief aid. This paper aims to improve the process at security checkpoints by redesigning the current process to reduce processing time and relieve congestion at checkpoint entrance gates.

A decision-support tool (clearing function distribution model [CFDM]) is used to minimize the effects of security checkpoint congestion on the entire humanitarian supply network using a hybrid simulation-optimization approach. By using a business process simulation, the current and reengineered processes are both simulated, and the simulation output was used to estimate the clearing function (capacity as a function of the workload). For both the AS-IS and TO-BE models, key performance indicators such as distribution costs, backordering and process cycle time were used to compare the results of the CFDM tool. For this, the Kerem Abu Salem security checkpoint south of Gaza was used as a case study.

The comparison results demonstrate that the CFDM tool performs better when the output of the TO-BE clearing function is used.

The efforts will contribute to improving the planning of any humanitarian network experiencing congestion at security checkpoints by minimizing the impact of congestion on the delivery lead time of relief aid to the final destination.

This study aims to test the impact of the coronavirus (Covid-19) pandemic on large firms, with regard to a supply disruption, productivity, customer satisfaction and firm performance.

A cross-sectional survey design and stratified sampling technique were implemented for employee selection and data gathering. Confirmatory factor analysis (CFA) was used to examine the data and model fitness, while the structural equation model was used for hypotheses testing.

The pandemic triggered supply disruptions, but did not significantly impact the productivity of manufacturing firms directly. However, supply disruption positively and significantly impacted productivity. Organisational productivity had no significant impact on customer satisfaction, however, when mediating the relationship between Covid-19 and customer satisfaction, it produces a positive indirect effect. Finally, Covid-19 and supply disruption when mediated by organisational productivity both had negative significant relationships on performance.

Having a unique model, it creates a trail for future researchers to explore further. Though customer satisfaction was expected to be affected by the pandemic, it is interesting to find out that customer satisfaction when mediated by organisational productivity was positively influenced.

Disruptions are inevitable, managers must balance the pursuit of customer satisfaction and productivity so that one does not erode the other. Emphasis must be channelled towards managing the productivity of the firm to maintain customer satisfaction during these uncertain times. Deliberate steps like manufacturing flexibility investments should be initiated.

The first study to examine Covid-19, supply disruption, customer satisfaction, organisational productivity and performance in the Nigerian manufacturing sector.

This research aims to analyse the variables related to the purchase intention of COVID-19 rapid tests in Monterrey, Mexico's metropolitan area.

The chosen method was probit regression. The results show that purchase intention depends on the consumer's perceived value and the perception of having a potential contagion and/or presenting symptoms related to the virus. Regarding limitations, the sampling method used in this investigation is a nonprobabilistic convenience approach delivered through a digital platform, which may not be the first option in other contexts.

The findings indicate that the probability of the purchase intention of rapid COVID tests increases when consumers perceive symptoms of the disease and when they have higher education or are female rather than concerning price or income, as suggested by classical demand theory.

Probabilistic sampling was impossible due to the difficulty of collecting surveys during the COVID-19 pandemic. Instead, a nonprobabilistic sample of a representative random selection of different zip codes from the responses received was considered.

The originality of the paper is its contribution to consumer behaviour during the COVID-19 pandemic in a Latin American context.

The subject of innovation in public service has been gaining attention in Brazilian scientific practice and production. This paper aims to identify national studies on innovation in public administration and increase the level of knowledge about the subject, as well as to inspire new research and promote advances in theoretical and practical knowledge about innovation in the public sector.

The present study has a descriptive purpose, quantitative nature and was performed through a bibliometric study based on the protocol proposed by Cronin et al. (2008). Documentary data were collected from scientific articles, and quantitative techniques for descriptive statistics were used to analyze the results. Were selected Brazilian scientific journals classified with Qualis equal to or higher than B1, in the area of Public Administration and Business, Accounting and Tourism, in the quadrennium 2013-2016; a total of 164 journals searched.

The results herein indicate a research gap that should be filled by more theoretical studies. Also, they point to the need for multimethod research studies that promote the evaluation of product and process innovation, especially related to the phases of invention and implementation.

Few studies have covered public administration and, especially, innovation reviews; none of these studies focused on innovation in the Brazilian public sector, as proposed by this research; the period of analysis and coverage of journals used as search criteria also differ from other reviews in the area of innovation and public sector.

The purpose of this paper is to empirically investigate the effect of real credit ratings change on capital structure decisions.

The study uses three models to examine the impact of credit rating on capital structure decisions within the framework of credit rating-capital structure hypotheses (broad rating, notch rating and investment or speculative grade). These hypotheses are tested by multiple linear regression models.

The results demonstrate that firms issue less net debt relative to equity post a change in the broad credit ratings level (e.g. a change from A- to BBB+). The findings also show that firms are less concerned by notch ratings change as long the firms remain the same broad credit rating level. Moreover, the paper indicates that firms issue less net debt relative to equity after an upgrade to investment grade.

The study covers the periods of 2009 to 2016; therefore, the research result may be affected by the period specific events such as the European debt crisis. Moreover, studying listed non-financial firms only in the Tadawul Stock Exchange has resulted in small sample which may not be adequate enough to reach concrete generalization. Despite the close proximity between the GCC countries, there could be jurisdictional difference due to country specific regulations, policies or financial development. Therefore, it will be interesting to conduct a cross country study on the GCC to see if the conclusions can be generalized to the region.

The paper contributes to the literature by testing previous researches on new context (Kingdom of Saudi Arabia, KSA) which lack sophisticated comparable studies to the one conducted on other regions of the world. The results highlight the importance of credit ratings for the decision makers who are required to make essential decisions in areas such as financing, structuring or operating firms and regulating markets. To the best of the authors’ knowledge, this is the first study of its kind that has been applied on the GCC region.

The purpose of this paper is to describe and compare seven case studies of strategic innovation projects of the Brazilian army; these projects present high transformational potential and high investments and are supported by technology and science policies.

The authors present herein multiple case studies in which the authors conduct a documentary analysis of the innovation processes in the Brazilian army, as well as semi-structured interviews conducted with eight servicemen with more than 15 years of working experience.

The results obtained suggest that the innovation process occurs in four stages: creation, selection, development and diffusion of ideas.

The research is relevant because it presents how the interaction between the Brazilian army, companies and academia strengthens the innovation ecosystem, stimulating the development of best practices for the management of strategic projects.

The main contribution of this study is to present the strategic project management of innovation based on public policies and investment in projects of the Brazilian army, which are drivers for the development of ecosystems that promote the creation and expansion of companies, the diffusion of technological knowledge in universities, and suitable solutions for the military sector.

In today’s business world, competition is no longer about resources accumulated, but the emphasis is now placed more on the actual accumulation and utilization of knowledge within the organization. Attention has shifted drastically from just acquiring wealth in the organization to an era where knowledge and learning within the organization becomes more critical and important to the organizational survival and continuous growth as put forward by this paper. This paper investigated the effect of organizational learning and effectiveness on operations, employee productivity and management performance. This paper aims to add to scholarly works and knowledge on organizational learning.

Random and stratified sampling techniques were used. Data collection was done with the use of a questionnaire and analyzed using confirmatory factor analysis and hierarchical multiple regression.

The result from the data analyzed shows that there is a positive relationship between organizational learning and effectiveness, operations, employees’ productivity and management performance suggesting that organization learning impact is encompassing because it affects and influences the effectiveness and efficiency of all the staff at every level within the organization.

Organizations should strive and do everything possible to ensure organizational learning because this study is in an era where knowledge and learning within the organization are more critical and important to organizational survival and continuous growth.

The study demonstrates that the only way to fast-track growth in every sphere of the organization is to ensure organizational learning as it influences the effectiveness and efficiency of all the staff at every level within the organization.