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The study examines the dynamic association between competition, risk-taking, performance and income diversification of frontier and emerging economy (FEE) banks. It additionally, explores the effect of banking sector depth and economic performance on the level of competition, performance and risk-taking behavior of banks in these economies.

The paper adopts a panel vector auto-regressive technique and collects data across ninety (90) FEEs.

The paper finds that competition increases with improvement in the depth of the banking sector, a surge in risk-taking behavior and the adoption of focused strategy by banks. Similarly, income diversification activities are driven by competition, banking sector depth, the state of the economy and bank performance. Additionally, risk-taking behavior, banking sector depth and the state of the economy are relevant in describing bank performance. Also, risk-taking behavior is influenced by bank performance, banking sector depth and economic growth.

The evidence indicates that although competition improves banking sector health, excessive competition and non-competitive banking environment constrain banks’ performance and stability.

Port competition attracted much scholarly attention in Northwest Europe during the 1980s. Following the rise of powerful economies in East Asia, particularly during the 1980s and 1990s, port competition has become an important phenomenon with the top five container ports in the world being located in the region. This paper aims to overview major port competition issues and outlines and analyzes the main alternative methodologies that researchers have employed to address them, referring to 70 items, mostly papers but including a few books and reports

Numerous of today's public sector organisations (PSOs) can be characterised as hybrids. Hybridity is caused by different (at times conflicting) demands that stem from the institutional environment, which is likely to affect performance measurement in these organisations. This paper focuses on the relationship between hybridity and organisational performance, which has so far not been studied in detail.

Based on a literature review (final sample of 56 articles), the authors systematise performance dimensions alongside the pillars “economy”, “efficiency”, “effectiveness” and “(social) equity”. The article summarises results in a framework for measuring performance in hybrid PSOs. The authors outline strategies as to how public managers can tailor frameworks to the requirements and idiosyncrasies of organisations.

Since hybrid PSOs combine logics from different administrative models (Weberian bureaucracy, market-capitalism and democracy), so need their organisational performance measurement systems. Potential synergies from and frictions between the different performance dimensions related to the four pillars are discussed.

This is the first literature review on performance dimensions and their application in hybrid PSOs. The distilled “hybrid performance measurement framework” can be scrutinised and further refined in future research.

This chapter advances our understanding of collaborative innovation processes that span across organizational boundaries by providing an ethnographic account of idea generation dynamics in a member-initiated online songwriting community. Applying a science and technology studies perspective on processes “in the making,” the findings of this chapter reveal the generative entanglements of three processes of content-in-the-making, skill-in-the-making, and community-in-the-making that were triggered and maintained over time by temporary stabilizations of provisional, interim outcomes. These findings also elucidate interferences between these three processes, particularly when an increased focus on songs as products undermines the ongoing collaborative production of ideas. Regular interventions in the community design were necessary to simultaneously stimulate the three processes and counteract interfering tendencies that either prioritized content production, community building, or skill development, respectively. The authors conclude that firms seeking to tap into online communities’ innovative potential need to appreciate community and skill development as creative processes in their own right that have to be fostered and kept in sync with content production.

This paper aims to introduce an information and communication technology (ICT) artifact that uses text mining to support the innovative and standardized assessment of professional competences within the validation of prior learning (VPL). Assessment means comparing identified and documented professional competences against a standard or reference point. The designed artifact is evaluated by matching a set of curriculum vitae (CV) scraped from LinkedIn against a comprehensive model of professional competence.

A design science approach informed the development and evaluation of the ICT artifact presented in this paper.

A proof of concept shows that the ICT artifact can support assessors within the validation of prior learning procedure. Rather the output of such an ICT artifact can be used to structure documentation in the validation process.

Evaluating the artifact shows that ICT support to assess documented learning outcomes is a promising endeavor but remains a challenge. Further research should work on standardized ways to document professional competences, ICT artifacts capture the semantic content of documents, and refine ontologies of theoretical models of professional competences.

Text mining methods to assess professional competences rely on large bodies of textual data, and thus a thoroughly built and large portfolio is necessary as input for this ICT artifact.

Following the recent call of European policymakers to develop standardized and ICT-based approaches for the assessment of professional competences, an ICT artifact that supports the automatized assessment of professional competences within the validation of prior learning is designed and evaluated.

The purpose of this paper is to propose a contingent model that facilitates knowledge of the strategies followed by the research technology organizations (RTOs) of Valencia and the Basque Country, Spain, to adapt to the turbulence of their environment.

The research includes context, organizational and results variables and identifies some barriers that the RTOs encounter in collaborating with SMEs and also the best practices they follow to develop competitive advantages. The methodology used consisted of applying the proposed model to the 27 RTOs of both autonomous regions; a factor analysis was then performed to determine whether there exist groups of related (correlated) variables; finally, the authors proceeded to carry out a hierarchical cluster analysis to observe how the 27 RTOs are distributed according to their ability to adapt and respond to environmental turbulence.

The technological policy must consider the characteristics of each region to propose more efficient and equitable mechanisms that allow the RTOs to face new challenges.

This study proposes a theoretical model suitable for RTOs to respond to environmental changes, to the current economy globalization and to cope with new challenges. This proposal means that RTOs must manage an appropriate combination of key factors, including the development of more proactive innovation strategies, an organic organizational structure to relate better with other innovation agents and universities, which help them to work more efficiently with SMEs and to obtain a higher innovative performance.

Banks are institutions that inject money in the economy and help to boost it when there are problems in some markets, especially in productive sectors. In this way, analysing the competition in this sector is an important tool for policymakers as non-competitive behaviour could affect the financial system and economy. The purpose of this paper is to measure the degree of competition in the Ecuadorian private banking sector divided by size, from 2000 to 2015, using panel data collected by the official regulator institution.

The authors applied the model proposed by Panzar and Rosse (1987) and its H-statistic using a reduced price and revenue equation estimated by pooled ordinary least squares, fixed effects, random effects, feasible generalised fixed effects and panel correction standard errors (PCSE).

The authors show that given the presence of some problems in data such as heteroskedasticity and autocorrelation, the most appropriate technique is PCSE. The authors also found robust evidence supporting that large banks compete in a monopolistic market, small and medium-sized banks operate in monopolistic competition, and Ecuadorian small, medium-sized and large banks stay in long-run equilibrium.

This paper contributes to the actual literature of competition degree in two ways. First, different from traditional papers, we do not control by size; so, we divided the analysis by size, because in Ecuador and also in many developing countries, bank’s competition is different for each group of size because the levels of liquidity, risk and other indicators are different from one group to another. Second, we show the robustness of the results using a scaled and unscaled equation, using many controls and using five methods to contrast the competition degree.

Recently, decoupling between the US and China has emerged as an important issue in global economics. We propose an analytical framework for trade decoupling analysis, borrowing the idea from the production function in non-competitive input-output tables. Using that methodology, we analyze the mobile phone trade network subject to various measures imposed by the US. A scenario analysis is performed to compare the extent of decoupling after a trade war with worst-cases. In bilateral trade, China’s share of total US imports fell significantly in 2019 compared to 2017. However, China’s indirect exports to the US increased during the same period. A similar pattern is observed in the global trade network visualized via multidimensional scaling (MDS). China’s out-degree centrality decreased slightly, while Vietnam’s role expanded. Actual figures for 2019 show a decreased out-degree centrality for Chinese final good exports, but a much higher one in the scenarios. Also, China’s indirect exports to the US have increased. But China does not appear to play a key role in the network as assumed in the scenario. Throughout the study, intermediate goods were treated homogeneously, and further studies considering the heterogeneity of input-output linkages are needed.

The paper aims to present an integrated foresight framework and method to support decision-makers who are confronted with today’s complex and rapidly changing world. The method aims at reducing the degree of uncertainty by addressing the inertia or duration of unfolding trends and by placing individual trends in a broader context.

The paper presents a three-layered framework and method for assessing megatrends based on their inertia or duration. It suggests that if long-term trends and key future uncertainties are studied in conjunction at a meta-level and placed in a broader multi-layered framework of trends, it can result in new insights.

The application of the proposed foresight method helps to systematically place a wide range of unrelated trends and key uncertainties in the context of a broader framework of trends, thereby improving the ability to understand the inertia, direction and mutual interaction of these trends.

The elaboration of identified trends and key uncertainties is partly case-specific and subject to interpretation. It is aimed at illustrating the potential use of the framework.

The paper presents a new approach that may, by itself or in combination with existing foresight methods, offer new means for anticipating future developments.

The use of the proposed framework has potential to provide better insight in the complexity of today’s rapid-changing world and the major transitions taking place. It aims to result in sharper foresight by reducing epistemic uncertainty for decision-makers.

The paper demonstrates how megatrends, Kondratieff waves and century-long trends can be placed in an integrated framework and analysed in conjunction.

The purpose of this paper is to analyze if the sport trajectory could be an impact factor in leadership development.

A qualitative research method has been adopted by conducting 17 in-depth, semi-structured interviews. The data were analyzed with the program Open Code (4.03).

The findings of this study revealed that the interviewed managers perceived that their sport trajectory has had an important influence in the development of their leadership. This influence is determined by four factors: (1) sport profile, (2) sport referents, (3) competences, values and abilities and (4) experiences from different sport roles played during their lifespan.

The research is based on interviews with a small sample of managers. In order to develop the research further, a more extensive sample is required.

The paper is unique as it examines the impact of the sport trajectory as an impact factor in leadership development.