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This paper aims to explore the optimization process involved in the aircraft maintenance allocation and packing problem. The aircraft industry misses a part of the optimization potential while developing maintenance plans. This research provides the modeling foundation for the missing part considering the failure behavior of components, costs involved with all maintenance tasks and opportunity costs.

The study models the cost-effectiveness of support against the availability to come up with an optimization problem. The mathematical problem was solved with an exact algorithm. Experiments were performed with real field and synthetically generated data, to validate the correctness of the model and its potential to provide more accurate and better engineered maintenance plans.

The solution procedure provided excellent results by enhancing the overall arrangement of the tasks, resulting in higher availability rates and a substantial decrease in total maintenance costs. In terms of situational awareness, it provides the user with the flexibility to better manage resource constraints while still achieving optimal results.

This is an innovative research providing a state-of-the-art mathematical model and an algorithm for efficiently solving a task allocation and packing problem by incorporating components’ due flight time, failure probability, task relationships, smart allocation of common preparation tasks, operational profile and resource limitations.

The objective of this study is to examine how emotions play a role in the firm’s reaction to disruptions in the supply chain. Drawing on the upper echelons theory, we evaluate whether managers’ perception of collective emotions (CEs) in the supply environment affects the execution of specific organisational responses (bridging and buffering) to disruptive events. Furthermore, we investigate to what extent companies' own capabilities, such as supply chain resilience, influence this relationship.

A web-based survey was distributed among managers involved in supply chain relationship management (e.g. supply chain or purchasing managers). LinkedIn was used to identify and contact adequate respondents, and 221 valid responses were collected. The proposed theoretical model was empirically tested using structural equation modelling based on partial least squares (PLS-SEM).

Results suggest that emotions can shape a firm's response to supply chain disruptions. In fact, managers are more likely to pursue both bridging and buffering strategies as their perception of CEs increases. However, the intensity and underlying motivations for pursuing each strategy differ.

When CEs are perceived by buyer managers, stronger supply chain resilience incentivises the choice of cooperative practices within existing suppliers, thereby reinforcing pre-existing links. We conclude that combining companies' inherent variables or capabilities with managerial cognition and perceptions can improve our understanding of decision-making processes and buyer–supplier relationships.

This study aims to investigate the interplay between a proactive attitude towards disruptions – supply chain disruption orientation – and supply chain resilience, increasing our understanding of their influence on reducing the impact of supply chain disruptions within the B2B context.

As unexpected disruptions are closely related to a dynamic and changing perception of the environment, this research is framed under the dynamic capabilities lens, consistent with existing resilience literature. The authors used partial least squares-path modeling (PLS-PM) to empirically test the proposed research model using survey data from 216 firms.

Results show that a proactive approach to disruptions alone is insufficient in mitigating their negative impact. Instead, a firm’s disruption orientation plays a crucial role in boosting its resilience, which acts as a mediator, reducing the impact of disruptions.

This paper sheds light on the mechanisms by which firms can mitigate the effects of supply chain disruptions and offers insights into how certain capabilities are needed so that firms’ attitudes can effectively impact firm performance. This research thus suggests that dynamic capabilities, traditionally perceived as being enabled by other elements, act themselves as enablers. Consequently, they have the potential to translate strategic orientation or attitudes into tangible effects on performance, enriching our understanding of how firms combine their internal attitudes and capabilities to achieve sustained competitive advantage.

This study aims to assess whether similar user populations in the Internet produce similar geographical traffic destination patterns on a per‐country basis.

The authors collected a country‐wide NetFlow trace, which encompasses the whole Spanish academic network. Such a trace comprises several similar campus networks in terms of population size and structure. To compare their behaviors, the authors propose a mixture model, which is primarily based on the Zipf‐Mandelbrot power law to capture the heavy‐tailed nature of the per‐country traffic distribution. Then, factor analysis is performed to understand the relation between the response variable, number of bytes or packets per day, with dependent variables such as the source IP network, traffic direction, and country.

Surprisingly, the results show that the geographical distribution is strongly dependent on the source IP network. Furthermore, even though there are thousands of users in a typical campus network, it turns out that the aggregation level which is required to observe a stable geographical pattern is even larger.

Based on these findings, conclusions drawn for one network cannot be directly extrapolated to different ones. Therefore, ISPs' traffic measurement campaigns should include an extensive set of networks to cope with the space diversity, and also encompass a significant period of time due to the large transient time.

Current state of the art includes some analysis of geographical patterns, but not comparisons between networks with similar populations. Such comparison can be useful for the design of content distribution networks and the cost‐optimization of peering agreements.

Foreign divestment of subsidiaries is a growing research field. The global increase in investments has led to more divestments. However, much about the processes and circumstances leading to foreign divestments (FDs) requires further investigation. This study aims to review and consolidate the existing literature on foreign divestment and identify avenues for future research.

This study performs a systematic literature review and bibliometric analysis of studies on FDs to highlight the traditional and emerging perspectives in the field. This work examines foreign divestment theories based on operations, human resources, finance and marketing business functions.

This study sets forth a basic foreign divestment framework and highlights potential research areas. Future studies should expand to emerging economies, explore complex relationships, distinguish foreign divestment types and identify the limits of various theories and perspectives.

This study discusses traditional theories such as economies of scale, portfolio adjustment, reverse eclectic, real options and transaction cost economies. This study also examines emerging perspectives: attention-based, behavioral, committedness, contingency, favoritism, flexibility, hysteresis, legitimation, network and resource-based views. This study uses traditional and emerging theories to explain foreign divestment decisions in different business functions.

The study aims to look into the mechanism by which perceived human resource management (HRM) practices impact nurses' engagement, by specifically looking into the role of psychological availability and psychological safety.

A cross-sectional questionnaire survey was conducted among nurses (n = 465). Data were collected from nurses of National Accreditation Board for Hospitals and Healthcare Providers (NABH) accredited hospitals by employing two stage sampling.

Results indicate significant positive association between HRM practices and employee engagement. Role of psychological safety and psychological availability as mediators was also confirmed. The study supported the proposition that HRM practices affected employee engagement through psychological safety and then psychological availability thus approving serial mediation.

This research also contributes to a more comprehensive understanding of the ways to achieve employees' psychological safety, availability, and thus nurse engagement.

The purpose of this study is to identify the relationship between collaborative innovation and the financial performance of information technology (IT) firms through the mediating role of strategic agility and absorptive capacity. Customer knowledge management capability (CKMC) is also explored as a potential moderator.

Data were collected from 300 respondents working in different small to medium IT enterprises operating in different cities around Portugal. The simple random sampling method was used for data collection, and Smart partial least squares-structural equation modeling (Smart PLS-SEM version 3.2.8) was used to test the hypotheses.

The findings demonstrate that collaborative innovation contributes significantly to the financial performance of IT firms in Portugal. The results also indicate that absorptive capacity and strategic agility both positively and significantly affect the relationship between collaborative innovation and firms’ financial performance. However, while the moderating role of CKMC has a positive and significant effect on the relation between collaborative innovation and strategic agility, CKMC insignificantly moderates the relation between collaborative innovation and absorptive capacity.

Few studies have explicitly connected collaborative innovation with firms’ financial performance; this study attempts to fill that gap. Moreover, this research investigates the mediating role of strategic agility and absorptive capacity in the relationship between collaborative innovation and financial performance. Finally, by discussing the moderating effect of CKMC, which leads to enhanced financial performance, this study proposes that when complex and unpredictable situations occur, managers should focus on customer-oriented strategies and innovation at the same time to outpace their competitors.

The study aims to identify the gaps and the potentialities of citizen-generated data in four axes of warning system: (1) risk knowledge, (2) flood forecasting and monitoring, (3) risk communication and (4) flood risk governance.

Research inputs for this work were gathered during an international virtual dialogue that engaged 40 public servants, practitioners, academics and policymakers from Brazilian and British hazard and risk monitoring agencies during the Covid-19 pandemic.

The common challenges identified were lack of local data, data integration systems, data visualisation tools and lack of communication between flood agencies.

This work instigates an interdisciplinary cross-country collaboration and knowledge exchange, focused on tools, methods and policies used in the Brazil and the UK in an attempt to develop trans-disciplinary innovative ideas and initiatives for informing and enhancing flood risk governance.

Mexico has an economic dynamic mostly associated with low added value sectors; regions of Guerrero and Michoacan highlight at national and even international levels in the agri-food production, however, they present substantial lags in their development and competitiveness. The purpose of this paper is to analyze the innovation policy in the agri-food sector of these regions through its regulations and local policy.

The present work has a qualitative approach through a case study with the treatment of units of analysis (UA), in which innovation policy in the agri-food sector as main UA, whose sources of interpretation have been direct observation and documentary sources such as laws and the guiding instruments of the regional public policy on innovation and the agri-food sector.

This paper identifies severe institutional weaknesses, a lack of incentives and structures for generating certainty and innovation capabilities in the agri-food sector. Both regions have weak and poorly articulated institutions in their innovation policy, with few incentives and scarcely defined property rights tending to increase uncertainty among the actors participating in the agri-food sector, although the economic dynamics of both regions is mostly associated with that sector, therefore, the low development and lack of competitiveness are a direct consequence of a minimum priority of innovation policy.

Our research is useful for the academic sphere by contributing to applied knowledge on the implications of innovation policy at the sectoral level on the development and competitiveness of regions, particularly in an emerging country such as Mexico, allowing to generate bridges gaps between theory and practice.

The main contribution is for policymakers, allowing them to compare and facilitate a better design of regulatory and public policy instruments that enable them to address and enhance economic vocations through innovation for regional development.

The research focuses on a debate at the regional level on the institutional limitations of promoting innovation through public policy. This study approaches economic and political processes having as empirical evidence of two undeveloped Mexican regions that stand out internationally in agri-food production. These regions have sectoral dynamics inserted in global value chains but have not achieved a local articulation, which has negatively affected their competitiveness and development. The cases of Guerrero and Michoacan are examples of regions like many others, which present diverse institutional weaknesses and lack of incentives associated with innovation policy that limit the development and articulation of their territorial capabilities.

The purpose of this paper is to analyze the dependence between the Chinese and Market Integrated Latin America (MILA) stock markets.

The authors adjust the multivariate probability distribution Variance Gamma (VG) on data yields from the Hang Seng Index (HSI) and MILA and they use the estimated parameters under VG to find a robust estimator of the correlation matrix yields.

The degree of dependence between stock indices from China, Peru, Mexico, Colombia and Chile. In addition, the impact of the change in the HSI affects mostly the movements of the selective stock price index (IPSA) and equally affects the index of the Mexican stock exchange (IPC) and Lima Stock Exchange (S&P/BVL). The effect on index of the Colombia Stock Exchange (COLCAP) is not significant.

Over time there are different structural changes so the time has been restricted to the years 2000-2015, but could extend the analysis to other time periods and sectors of listed companies in the indices.

The results can guide policy makers to assess the effect of a random crash on stock markets and measure the level of risk from other markets.

The results can generate a greater understanding of the relationship between the stock markets of China and the emerging countries of Latin America.

The value of this paper is to focus on alternative methodology to calculate the correlation matrix yields and measure the dependence between the Chinese and MILA stock markets.