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The aim of this paper is to move toward a holistic model of organizational interpretation under uncertainty. This paper makes a series of novel conceptual propositions regarding the associations between state, effect and response uncertainty and the organizational interpretation process.

This conceptual paper extends existing conceptual work by distinguishing between general and issue-specific scanning and linking the interpretation process to three different types of perceived uncertainty: state, effect and response uncertainty.

It is proposed that environmental scanning leads to lower state and effect uncertainty, i.e. less uncertainty regarding the estimation of probabilities of events occurring in the external environment of the organization and of their consequences. It is further proposed that scanning leads to higher levels of perceived control over events and that the actual interpretation of events, in opportunity/threat terms, drives irregular issue-specific scanning and organizational reactions to such events.

The paper suggests a way to test links between organizational interpretation and uncertainty that might help explain and untangle some of the conflicting empirical results found in the extant literature. The paper illustrates how the literature could benefit from re-conceptualizing the perceived environmental uncertainty construct to take into account different types of uncertainty.

For practitioners, this paper emphasizes the importance of environmental scanning and how scanning practices can lead to general alertness, to more positive event interpretations and how interpretations form responses to opportunities in the environment.

This paper extends on existing work by linking the interpretation process to three different types of uncertainty (state, effect and response uncertainty) with several novel and testable propositions. The paper also differentiates clearly general (regular) scanning from issue-specific (irregular) scanning. Finally, the paper provides a unifying view, piecing together in one picture elements that have so far been dispersed in the literature.

This paper aims to explore the relationship between open innovation (OI) and absorptive capacity (AC) using a bibliometric analysis of existing literature.

The bibliometric analysis is used to review the covered research articles in the Web of Science (WoS) database. The time span covered over 20 years from the year 2000 to 2020.

The study suggests that it is an attracting and growing field for researchers, and there exists a close relationship between OI and AC. Further, the literature has parted into three research streams (1) AC and OI: dependency and interchangeability; (2) OI and its future avenues (3) OI and AC: critical factor for firm innovation performance which elaborate various future scopes to study.

The study's limitations exist with the biasness in database selection criteria, such as the possible non-inclusion of crucial articles.

The study’s implications are to discern close association and path dependency of AC and OI; and facilitate the innovation performance of the firm via developing of AC.

The approach used is a novelty, and the conclusions can better understand the relationship between both terms (OI and AC). Thus, it can help increase firm innovation performance.

The purpose of the paper was the application of computational fluid dynamics (CFD) techniques in fluid flow using Maxwell’s equation for partial slip modelling, estimating the flow parameters, and selecting tangential momentum accommodation coefficient (TMAC) for tight rock samples in permeability calculations.

The paper presents a numerical analysis of fluid flow in a low-porosity rock sample by using CFD. Modelling results allowed to determine mass flow rates in a rock sample and to calculate permeability values using a modified Darcy’s equation. Three-dimensional (3D) geometrical model of rock sample generated using computed X-ray tomography was used in the analysis. Steady-state calculations were carried out for defined boundary conditions in the form of pressure drop. The simulations were applied taking into account the slip phenomenon described by Maxwell’s slip model and TMAC.

Values of permeability were calculated for different values of TMAC, which vary from 0 to 1. Results in the form of gas mass flow rates were compared with the measured value of permeability for rock sample, which confirmed the high accuracy of the presented model.

Calculations of fluid flow in porous media using CFD can be used to determine rock samples’ permeability. In slip flow regime, Maxwell’s slip model can be applied and the empirical value of TMAC can be properly estimated.

This paper presents the usage of CFD, Maxwell’s equation for partial slip modelling, in fluid flow mechanism for tight rock samples. 3D geometric models were generated using created pre-processor (poROSE software) and applied in the raw form for simulation.

The purpose of this paper is to introduce a robust mathematical model and finite element‐based numerical approach to solve solid oxide fuel cell (SOFC) problems.

A robust mathematical model is constructed by studying pros and cons of different SOFC and other fuel cell models. The finite element‐based numerical approach presented is a unified approach to solve multi‐disciplinary aspects arising from SOFC problems. The characteristic‐based split approach employed here is an efficient way of solving various flow, heat and mass transfer regimes in SOFCs.

The results presented show that both the model and numerical algorithm proposed are robust. Furthermore, the approaches proposed are general and can be easily extended to other similar problems of practical interest.

The model proposed is the first of this kind and the unified approach for solving flow, heat and mass transfer within a fuel cell is also novel.

The purpose of this paper is to numerically model convective drying of a two‐dimensional iron ore pellet subjected to turbulent flow.

Simulations of the iron ore pellet drying process are carried out with commercial computational fluid dynamics software. The moisture distribution inside the pellet is calculated from a diffusion equation and drying due to evaporation at the surface is taken into account.

The results show an initial warm up phase with a succeeding constant rate drying period. Constant drying rate will only be achieved if the surface temperature is constant. The falling rate period will subsequently start at the forward stagnation point when the minimum moisture content is reached, while other parts of the surface still provide enough moisture to allow surface evaporation. The phases will thus coexist for a period of time.

Owing to the complex physical processes involved in iron ore pellet drying, some parameters in the model are based on estimations. The effective diffusivity should, for example, in the future be investigated more thoroughly. It is also important to extend the model so that the falling rate drying period is also included. The model is at present undergoing further validation.

The simulations can provide detailed information on some key fluid dynamics and physical processes that an iron ore pellet undergoes during drying.

The simulations enhance the understanding of iron ore pellet drying and the model provides a complement to experimental investigations when optimizing the drying process.

The purpose of this paper is to clarify the relationship between language, thinking and society for explaining the degree of visibility of the French organizational studies (OS) production.

This paper proposes a sociological analysis based on Bourdieu field to understand the variation of reception the French OS production have had among the Anglo-Saxon field. The paper aims to underline some key elements, which can explain the differences of reception experienced by the French OS scientists. The paper opted for a general review using historical data; reviews of OS literature; and Google scholar, Web of Science and major OS Journal data.

The paper provides some evidence about how the degree of visibility of the French OS production is related to translation, cognitive and social resonance, producer place in the scientific network and relationship between the fields. It suggests that the degree of visibility is the result of a complex set of socio-cognitive schemes, social issues raised by the scholar and the place occupied by the researcher in the field.

The paper brings interesting ideas concerning the international development of the OS field, the degree of visibility of diverse contributions coming from non-English speaking researchers, notably the French ones, and how the dialogue between different linguistic and social universes can be ameliorated.

To present which properties of social systems can be used in studying and determining their broadly defined security. A core concept of security is to be developed into a typology of attributes of security of social systems.

The interpretation of security has become one of the most important challenges of theory of international relations and of related areas. Unfortunately, theory only follows the processes and provides descriptions and interpretations. Explanations are rare or superficial. Predictions or normative approaches, essential for security considerations, are mainly embedded either in ideological discourse or in common sense conclusions. A broadly defined systems thinking is applied as an instrument allowing for enhancement of methodology of security research in dealing with complex social phenomena.

It may not be expected that systems thinking could provide all the answers to the questions arising in security theory and policy. At the same time, it can be shown how strongly the discourse on a broadly defined security, not only in international relations, has been influenced by systems thinking.

It is but an introductory survey study and includes omissions and simplifications that have to be explained in detail in further studies.

An introduction to the further research on the links between systems thinking and discourse on broadly defined security of individuals and social systems.

Allows systems specialists to avoid simplifications in understanding social systems and at the same time helps security specialists to avoid abuses and trivialization of systems thinking.

The aim of this paper is to evaluate contrasting ways of tackling self-employment in the informal sector. Conventionally, the participation of the self-employed in the informal sector has been viewed as a rational economic decision taken when the expected benefits outweigh the costs, and thus enforcement authorities have sought to change the benefit-to-cost ratio by increasing the punishments and chances of being caught. Recently, however, neo-institutional theory has viewed such endeavor as a product of a lack of vertical trust (in government) and horizontal trust (in others) and pursued trust-building strategies to nurture voluntary compliance.

To evaluate these contrasting policy approaches, data are reported from special Eurobarometer survey 92.1 conducted in 2019 across 28 European countries (the 27 member states of the European Union and the United Kingdom) involving over 27,565 interviews.

Using probit regression analysis, the finding is that the likelihood of participation in informal self-employment is not associated with the level of expected punishments and chances of being caught, but is significantly associated with the level of vertical and horizontal trust, with a greater likelihood of participation in informal self-employment when there is lower vertical and horizontal trust.

The outcome is a call for state authorities to shift away from the use of repressive policy measures that increase the penalties and chances of being caught and toward trust-building strategies to nurture voluntary compliance. How this can be achieved is explored.

Evidence is provided to justify a shift toward seeking trust-building strategies by state authorities to engender voluntary compliance among the self-employed operating in the informal sector in Europe.

The purpose of the paper is twofold. Firstly, it provides an inclusive categorical framework of internationalisation patterns for small- and medium-sized enterprises, and secondly, it presents unique evidence from a developing country and corroborates the proposed framework.

A cross-sectional convergent mixed-method design was applied to this research. A phenomenological design was used to develop the typology framework, and subsequently, practical evidence was collected through a cross-sectional survey using a self-reporting questionnaire. A two-step hierarchical clustering analysis was performed to test the framework’s robustness, and a set of characteristics was compared between the patterns via a one-way analysis of variance, F-test.

The robustness of the constructed categorical framework of 32 internationalisation patterns is substantiated, suggesting that this framework produces veracious discrimination between all patterns of internationalisation. Evidence revealed that the majority of firms showed regional and incremental internationalising behaviour. No true born globals were observed; however, several other early or fast patterns such as “born-international”, “global new venture” and “born-again regional” emerged.

This paper presents a categorical framework and provides evidence of the behaviour of internationalising SMEs from a Middle Eastern developing economy. The categorical framework constructed in this paper uses predefined thresholds, and it is of value because it is inclusive, rigid and incisive. This paper also provides essential insights into the sub-patterns of internationalisation, specifically the born-again and regional phenomenon of internationalisation.

The purpose of this paper is to identify factors that influence so-called born-again global firms’ internationalization behavior. Specifically, this article explores the following questions: why do mature, domestically focused firms suddenly turn into born-again global firms, how do they do so and what elements are needed for born-again global firms to be sustainable.

Using an established international entrepreneurship model as a starting point, we extract relevant factors for a conceptual framework on born-again global firms’ internationalization activities. Case study research among a cross-sectional sample of born-again global firms is being applied for that purpose.

Driven by the insufficient size of their domestic market, born-again global firms typically embark on internationalization after a generational change at the chief executive officer level. Throughout their internationalization journey, they flexibly adapt toward new needs of their foreign environments. Due to their idiosyncratic characteristics, born-again global firms deserve consideration as a separate group of research objects in the field of international entrepreneurship.

The investigated sample of case study firms was drawn across a variety of industries. As such, industry-specific conditions could not be observed and the findings from case study research run the risks of being generalized too broadly. In addition, the accuracy of the case study results may suffer from a certain degree of hindsight bias as the internationalization event took place in the past.

Openness to learning from other markets and the flexibility to modify products according to client needs strengthen born-again global firms’ competitiveness. To endure, born-again global firms have to be innovative in adapting to changes, which makes it easier for them to launch their products in new markets.

To date, international entrepreneurship has focused on the activities of small and newly established firms, largely neglecting the behavior of somewhat larger and established firms in traditional sectors. This study shows that established companies can exhibit the same innovative, proactive and risk-seeking behavior across borders as new ventures do. Despite their strongly rooted structures, strategies and cultures, born-again globals can flexibly adapt to new environments.