scholarly journals Are Neoclassic Internationalization Models Enduring? A Case-Review of the Uppsala Paradigm

SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402093253
Author(s):  
Bruno F. Abrantes

Internationalization is a theme of great interest to practitioners worldwide, intensified by the increasing business environmental turbulence in last decades. The latter led to the proliferation and expanding of research into new areas, while neoclassic archetypes were conversely dubbed as, supposedly “old-fashioned.” In this context, a review article aims at breaking with such dogma, rejuvenating prior knowledge, and contextualizing it in current time. Hence, this research focus on a seminal framework, the well-known Uppsala Model, purposively selected as being an exception, as it keeps capturing the interest of scholars and is still one of the most cited frameworks in this area. Thus, a theoretical review addresses the evolution of the model in the aftermath of more than 40 years of research, and contextualizes it within the state-of-the-art of internationalization-related theories. An integrative review process is applied to a purposeful selection of descending frameworks of the model, circumscribed to the last decade (2009–2019). An enduring utility is positively observed, grounded on a reactive adaption purpose. In parallel, a shift is assisted from the neoclassic paradigm to a behavioral paradigm pillared on a capability-building logic for the adaption toward volatile, uncertain, complex, and ambiguous environments. This led to the extension of the Uppsala paradigm from a pure internationalization process model to enter the realm of the international capabilization framework.

Author(s):  
Jan-Erik Vahlne

When it was developed in 1977, the Uppsala internationalization process model (Uppsala model for short) had three basic premises: process ontology, behavioral assumptions, and the presence of uncertainty. Multinational business enterprises (MBEs), among all actors, were in their infancy, and their future could not be known. Later on, the model was extended to cover the evolution of the MBEs, with factors such as internationalization, globalization, and the development of characteristics prompting changes and making them possible. Likewise, the knowledge concept was substituted for by capabilities, operational and dynamic, fitting well the other concepts of the model. The neoclassical view of the firm as an independent unit on the market is considered unrealistic. Instead, firms, MBEs, and small and medium enterprises are seen as embedded in networks with other cooperating and competing actors. The mechanisms of the 2017 version, though, are the same as in the original version. Hopefully, the latest version can be used as a tool within the scope of the “theory of the firm” research and as a platform for more studies on causal mechanisms, later to be applied in normative conclusions. It follows that static cross-sectional statistical methods are not fully satisfactory. Application of dynamic analytical methods requires investment in longitudinal data collection, which is costly, and has to be performed by institutions rather than individuals. A dream is that the Uppsala model can be used as a stepping stone in the construction of realistic macro-level studies of the economy.


Author(s):  
Zhiao Zhao ◽  
Yong Zhang ◽  
Guanjun Liu ◽  
Jing Qiu

Sample allocation and selection technology is of great significance in the test plan design of prognostics validation. Considering the existing researches, the importance of prognostics samples of different moments is not considered in the degradation process of a single failure. Normally, prognostics samples are generated under the same time interval mechanism. However, a prognostics system may have low prognostics accuracy because of the small quantity of failure degradation and measurement randomness in the early stage of a failure degradation process. Historical degradation data onto equipment failure modes are collected, and the degradation process model based on the multi-stage Wiener process is established. Based on the multi-stage Wiener process model, we choose four parameters to describe different degradation stages in a degradation process. According to four parameters, the sample selection weight of each degradation stage is calculated and the weight of each degradation stage is used to select prognostics samples. Taking a bearing wear fault of a helicopter transmission device as an example, its degradation process is established and sample selection weights are calculated. According to the sample selection weight of each degradation process, we accomplish the prognostics sample selection of the bearing wear fault. The results show that the prognostics sample selection method proposed in this article has good applicability.


2021 ◽  
Vol 28 ◽  
Author(s):  
Karolina Blusiewicz

Based on the late medieval leather artefacts from Puck, Gniew, Lębork and Chojnice, an attempt was made to assess the level of shoemaking production at that time. Microscopic analyses of leather goods and production waste proved that in the field of tanning the activities related to the mechanical treatment of leather were carefully performed, although with insufficient professional knowledge concerning the process. The results of the identification of the animal origin of the leather confirmed the purposeful selection of raw material with different properties for individual footwear elements and the ability to properly cut it. The quality of the shoemaking products was highly rated in terms of technology and style. However, in the analysed collections a clearly perceptible difference in craftsmanship and assortment of products from Gniew and the other three towns was noticed.


1996 ◽  
Vol 35 (8) ◽  
pp. 341-347
Author(s):  
Winifred A Morse ◽  
Sheila Corcoran-Perry

2019 ◽  
Vol 6 (3) ◽  
pp. 511-528 ◽  
Author(s):  
Vikas Gupta ◽  
Kavita Khanna ◽  
Raj Kumar Gupta

Purpose The purpose of this paper is to evaluate and analyse the street food preferences of foreign tourists in Delhi. It will also try to find out the reasons for the selection of these foods by the tourists. Design/methodology/approach The data collection was done from 670 foreign tourists at the departure gates of Indira Gandhi International Airport, New Delhi. This study involved location intercept technique through face-to-face interviews and filling of structured questionnaire for taking the responses. The street food preference of the tourists is analysed using analytical hierarchy process model. Findings This study identified 17 street foods which were amongst the most preferred by the foreign tourist, with chicken tikka being the most favoured and paddu being least preferred. It was also found that tourists usually prefer street foods which are mild in taste and are hygienically prepared. Practical implications This study suggests that Indian street food presents a huge market for the foreign tourists that needs to be nurtured. It will help the stakeholders in the street food businesses in Delhi to devise strategies to promote food tourism, modify and align tourism products, enhance farming techniques and ultimately improve the destination image and branding of the place. Originality/value This is the first attempt to try to explore tourists’ street food preference and will help in maximising the influx of foreign tourists, as the concept of culinary tourism is on rise in India.


2019 ◽  
Vol 257 ◽  
pp. 02007
Author(s):  
Qing Guo ◽  
Shuzhen Yang ◽  
Tao Yu

In view of the technological requirements of the development of green shipbuilding technology on the effect of ship surface rust removal, the premixed abrasive jet technology is used to remove rust. Because the rust removal of ships with premixed abrasive jet is influenced by multiple parameters and has a high nonlinear relationship between various parameters, the accurate process model of it is difficult to establish. On the basis of artificial neural network modelling technology, the model of ship rust removal with premixed abrasive jet is built. The model takes the system pressure, the target distance, the moving speed of the spray gun and the particle size of the abrasive as input parameters, and the score which can most reflect the effect of the rust removal as output parameter. The test results show that the prediction error of the model is small, and it can better reflect the process rule between the effect of the premixed abrasive jet and the process parameters. We can guide the selection of process parameters according to the model.


Sign in / Sign up

Export Citation Format

Share Document