Search results

Recent advancements in Artificial Intelligence (AI) and, at its core, Machine Learning (ML) offer opportunities for organizations to develop new or enhance existing capabilities. Despite the endless possibilities, organizations face operational challenges in harvesting the value of ML-based capabilities (MLbC), and current research has yet to explicate these challenges and theorize their remedies. To bridge the gap, this study explored the current practices to propose a systematic way of orchestrating MLbC development, which is an extension of ongoing digitalization of organizations.

Data were collected from Finland's Artificial Intelligence Accelerator (FAIA) and complemented by follow-up interviews with experts outside FAIA in Europe, China and the United States over four years. Data were analyzed through open coding, thematic analysis and cross-comparison to develop a comprehensive understanding of the MLbC development process.

The analysis identified the main components of MLbC development, its three phases (development, release and operation) and two major MLbC development challenges: Temporal Complexity and Context Sensitivity. The study then introduced Fostering Temporal Congruence and Cultivating Organizational Meta-learning as strategic practices addressing these challenges.

This study offers a better theoretical explanation for the MLbC development process beyond MLOps (Machine Learning Operations) and its hindrances. It also proposes a practical way to align ML-based applications with business needs while accounting for their structural limitations. Beyond the MLbC context, this study offers a strategic framework that can be adapted for different cases of digital transformation that include automation and augmentation of work.

The belt and road initiative (BRI) emanates from China and seeks to connect Europe, Asia and Africa through transport and telecommunications infrastructure. Despite the importance of Africa in the BRI network, very little research has been done on the BRI in Africa, and even less of this emanates from Africa itself. In particular, considering that the BRI investments in Africa are largely transport related, there is almost no research covering the area of logistics, which should be greatly affected by the infrastructure investments. This paper sought to establish the current state of logistics research related to the BRI in Africa.

A bibliometric analysis was conducted on documents extracted from the SCOPUS database.

The findings indicate that there is a lack of research in critical areas such as environmental, social and economic impact of BRI transport investments, governance, logistics performance and international cooperation. In particular, there is a massive gap in local knowledge regarding the BRI.

The study is limited to published research indexed in the SCOPUS database. Future research directions include empirical studies into BRI project initiation investigation, economic and environmental impacts, governance structures and policy intervention requirements and macro-level logistics impacts.

The study emphasises the importance publishing all the relevant information regarding BRI related projects in Africa to create transparency.

The study investigates the current research on the effect of China's BRI on transport and logistics in Africa through a bibliometric analysis. The investigation reveals that while there are huge investments in infrastructure, the actual effect on logistics of participating countries in Africa has not been interrogated.

In recent years, the People's Republic of China has made remarkable progress in science and technology. The Chinese industry is competing for leadership in cutting-edge technologies such as 5G, robotics, artificial intelligence, aerospace and green energy. This article aims to analyze: What role do industrial parks, especially Suzhou Industrial Park, play in upgrading technology to encourage independent innovation and economic development? How SIP is related to the Belt and Road Initiative?

This research summarizes China's most important scientific and technological reforms and policies and in particular the Torch Program. In addition, it develops a case study of the Suzhou Industrial Park (SIP) by analyzing documents, bibliography and presenting data. It ends with a case study of the role of SIP in the Belt and Road Initiative analyzing the Great Stone Park in Belarus.

This article highlights that: China's experience clearly shows that the "visible hand" of the State plays a very important role in economic development and technological catch-up. All of them are implemented from a strategy linking the national objectives with the local ones, this is done from a top-down perspective. As an important aspect of economic and social development, China's experience in promoting indigenous innovation in science and technology provides a relevant example for developing countries.

There are few academic literature on Great Stone Industrial Park.

The international cooperation of the SIP with the technology parks throughout the BRI-countries provides relevant information to deepen collaboration in this field and could contribute to closing the technological gap in developing countries.

The role of the SIP in the Belt and Road initiative is an under research topic. There is few bibliography discussing the impacts of the cooperation in science and technology in the framework of the BRI.

The coronavirus disease (COVID-19) pandemic has emerged as an unprecedented health crisis worldwide and heavily disrupted the healthcare supply chain. This study focuses on analysing the different types of disruptions occurring in personal protective equipment (PPE) supply chains during the COVID-19 pandemic and on proposing mitigation strategies that are fit to the global scale and many interdependencies that are characteristic for this pandemic. The authors construct a conceptual system dynamics model (SD) based on the literature and adjusted with the use of empirical data (interviews) to capture the complexity of a global supply chain and identify leverage points (mitigation strategies).

This research follows a mix-methods approach. First, the authors developed a conceptual framework based on four types of disruptions that usually occur during health emergencies (direct effect, policy, supply chain strategy, and behaviourally induced disruptions). Second, the authors collected and analysed data from interviews with experts in the PPE supply chain. Based on the interviews data, the authors developed a conceptual system dynamics (SD) model that allows to capture the complex and dynamic interplay between the elements of the global supply chain system, by highlighting key feedback loops, delays, and the way the mitigation strategies can impact on them. From this analysis, the authors developed four propositions for supply chain risk management (SCRM) in global health emergencies and four recommendations for the policy and decision makers.

The SD model highlights that without a combination of mitigation measures, it is impossible to overcome all disruptions. As such, a co-ordinated effort across the different countries and sectors that experience the disruptions is needed. The SD model also shows that there are important feedback loops, by which initial disruptions create delays and shortages that propagate through the supply chain network. If the co-ordinated mitigation measures are not implemented early at the onset of the pandemic, these disruptions will be persistent, creating potential shortages of PPE and other critical equipment at the onset of a pandemic – when they are most urgently needed.

This research enriches the understanding of the disruptions of PPE supply chains on the systems level and proposes mitigation strategies based on empirical data and the existing literature.

This paper investigates the factors responsible for the emergence of different arrangements of state–society relations. Being concerned with the relations related to the industrial sector, this study focuses more on state–business–labor relations (SBLRs), especially on power dynamics between the main actors in these relations, namely, the state, tycoons, entrepreneurs and labor.

Based on power dynamics, four SBLR modes are identified and differentiated according to state power vis-à-vis non-state actors and tycoon power vis-à-vis the other non-state actors. The balanced mode is characterized by balanced power relations among the four considered actors. In the capture mode, tycoons are more powerful than other actors, including the state, although other nonsocial actors have organizational rights. The crony mode has powerful state, subservient tycoons who enjoy high levels of favoritism and low organizational power for the other social actors. Finally, the state-dominance mode has powerful state, low levels of favoritism to tycoons and low organizational power for all social actors. The paper then explores the factors responsible for the emergence of each of these modes by investigating the factors’ effects on state power and favoritism to tycoons. The investigated factors include historical political–economic, geographical, legal and cultural factors. The hypothesized effects of these factors are then tested using a random-effects probit regression model, investigating how the different factors affect the probability of the existence of the studied SBLR modes.

The results support much of the hypothesized relations and place more emphasis on some of the investigated factors. Earlier development is clearly responsible for the emergence of either the balanced or the state-capture SBLR mode. Geographical conditions favorable for development, such as latitude and metal richness, also lead to the emergence of either mode. The communist heritage, and more accurately the post-communist economic and incomplete political liberalism of the transition stage, contributed to the emergence of the state-capture SBLR mode. The British legal system, with the power it provides to non-state actors through the independence of judges and other measures, contributes to the emergence of the balanced SBLR mode. Cultural factors are largely responsible for the emergence of the crony SBLR mode, especially hierarchical and collectivist cultures, as well as ethnic fractionalization. On the other hand, the culture of Confucians has the strongest influence on the emergence of state dominance, while other cultures play a marginal role in its rise, and ethnic fractionalization marginally defuses the ability of the state to dominate without resorting to favoritism. Finally, access to rich natural resources, by enriching the state independently from social actors’ financial resources (e.g. taxation), marginally increases the probability of the emergence of the state-dominance mode.

There is room for path dependency to explain the emergence of different SBLR modes in many countries. Unfortunately, the introduced regression model and any quantitative empirical work would not be able to effectively investigate such a process. Instead, an approach depending on case studies and a deeper investigation of country-specific historical political development is needed to complement the research done here. Conducting such an additional quest would help in reaching a more comprehensive understanding of why different countries have different SBLR modes. This should ultimately help in answering an equally important question: How to reverse engineer the emergence of favorable SBLR modes?

Although this paper did not investigate the economic merits or mischiefs of each of the studied modes, it is plausible to think of the balanced SBLR as the best mode. This is supported not only by the fact that most of the countries of this mode are developed countries but also by the attractiveness of the power dynamics governing this mode—a more balanced power among different SBLR actors. While some factors are almost impossible to replicate, for example, geographical factors, reform could target the factors that could be changed or mitigated. This is true for legal reform, especially for fostering the independence of judges. Culture is often regarded as a sticky institution. However, this is not always true, even though the change happens in the long run. A sort of dynamism should always be considered when referring to culture through time and space. Institutional reform could be instrumental in the long run in this regard. Conducting such reform with the help of such “exogenous” institutions should always consider the match between these institutions and “endogenous” institutions, such as culture. That is to say, the connection between democratization, fostering accountability and curbing favoritism and cultural values leaning toward these principles should be firmly established. Finally, a point of optimism is that—based on the results of this paper—reaching a high state of development could increase the chances of realizing a more balanced SBLR mode in the long run.

This paper represents a novel contribution to a topic that has hardly been addressed in the literature. The methodology that is used identifies different state–society relation modes and focuses on power relations in SBLRs is another important contribution to the present literature in many fields, such as institutional economics, socioeconomics and political economy.