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Fintechs are expected to develop rapidly as technologies that help improve the efficiency of the traditional financial system, but an examination of fintech subbranches shows different behaviors. In some sub-branches, the transition has been accompanied by a higher speed and more success, but in some other sub-branches, the opposite has been observed. The difference in the development of fintech sub-branches and its reasons have been paid less attention. Therefore, this article aims to identify the factors affecting the transition.

The use of new technologies in financial services at the international level has led to the provision of fast, customized and economical services, and the fact that these services are welcomed by the users has created opportunities for fintech's transition. This qualitative research follows the socio-technical phenomenon of fintech transition through narrative research. For its formulation, the transition process of fintech sub-branches was analyzed based on the multi-level analytical framework and Geels et al.’s transition path theory.

Transition is a change from one socio-technical regime to another. The findings of the research showed that these changes are influenced by the following factors: provision of infrastructure, the support of industry incumbents from innovative financial services, policy-making, citizen's welcoming, improving the knowledge and expertise of actors, legal adjustments as well as provision of innovative services.

The fintech transition has a special nature because the speed of developments in fintech is high and there is a series of innovations that are continuously replaced by subsequent innovations. Existing models have often focused on the long-term transition of a technology. This article presents a new approach for the analysis of changes in the short term in such a way that, based on the position of the actors in favor of or against the technological changes and institutional changes of the transition, it has analyzed and identified the factors affecting the transition. By focusing on these factors, policymakers can direct the way of fintech transition and help accelerate and facilitate fintech transition.

Disruptive technologies often disrupt the careers of middle-skilled workers. The purpose of this paper is to investigate career transition strategies of middle-skilled workers that partially continue or expand their careers under the condition of disruptive technologies.

This paper established a conceptual framework of career transition strategies for middle-skilled workers by integrating the existing studies of disruptive technologies, technological trajectory transition, boundaryless and protean careers, and careers as repositories of knowledge.

The authors proposed three types of career transition strategies to partially prolong middle-skilled workers’ careers, namely, industry-oriented transition strategy which refers to a transfer to other occupations in the original industry, technology-oriented transition strategy which refers to a transfer to occupations with original technical skills in other industries, and comprehensive transition strategy which refers to a transfer to other occupations in the related industries. Further, this paper discusses the external conditions and individual competencies for each career transition strategy, and timing for implementing a career transition strategy from the perspective of the technology life cycle.

This paper focused on sustainable careers of middle-skilled workers under the condition of disruptive technologies, which received very little attention from the current literature. The findings also suggested for middle-skilled workers to develop a sustainable or long-term career in the current era of many disruptive technologies. The findings may also imply on how firms and government should contribute to help workers on handling scenarios of technological disruption.

The purpose of this paper is to provide new practical viewpoints and a framework regarding the management of technology transition from old to new technology through an in‐depth case study of Fanuc.

Due to the exploratory nature of this research and our interest in identifying key factors that affect the progress of technological transition, the authors selected the grounded theory style of data interpretation.

This case study identifies three key factors common to Fanuc's two major technological transitions and provides a new framework for the successful transition.

This paper provides new practical viewpoints regarding the management of technology transition from old to new technology.

The purpose of this paper is to analyze transitions between technology push (TP) and demand pull (DP) strategies for accomplishing sustainable development in manufacturing industries.

The key aspects based on their relevance to TP-DP strategies have been extracted from literature review. The aspects were utilized to design a well-framed TP-DP questionnaire. An extensive survey in medium- and large-scale manufacturing industries operating in India has been executed through questionnaire. The responses to various factors were collected and the data obtained have been analyzed using analytical and graphical comparisions.

The recognition of the outcomes of transitions was perceived to be substantial. The research concludes that DP strategies dominates TP strategies in the present context. These strategies have emerged as a foundation for several development initiatives and actively support manufacturing industries in accomplishing sustainable development.

The analysis shows that TP-DP strategies in Indian manufacturing industries encounter significant transitions at different stages of their development.

The purpose of this paper is to examine a traditional information technology (IT) integration-performance framework in the transition economy of Russia, which has undergone significant and tumultuous institutional shifts. The research incorporates variables not previously utilized in the supply chain literature but underscore significant roles in the context of the Russian institutional environment to examine the drivers of IT integration.

The Moscow-based, Public Opinion Research Center (VCIOM) was contracted to collect data from Russia manufacturing firms with 100 or more employees, and the effort resulted in 769 responses from Russian private sector firms. This primary survey data were combined with two secondary data sets to test the model using structural equation modeling.

Overall, the results indicate that firms in developed economies must pay special attention to specific contextual nuances in transition economy firms that can affect their ability to successfully navigate this significantly different supply chain environment. Specifically, the results show that spatial distance from Moscow hampers a firm’s ability to integrate its logistics IT capabilities, suggesting that “modern” logistics IT (and possibly supply chain practice in general) initiate from the Moscow core and spread outward. Further, results find that growth in the number of foreign competitors in a firm’s primary industry over the prior five-year period associates with greater integrated logistics IT. It appears that increasing foreign competition creates a sense of urgency for managers within Russian firms to focus on cost reduction and improvements in logistics efficiencies by way of greater IT integration.

A significant portion of research related to supply chain management and firm performance takes place in the economically developed West, but there are questions about whether these findings are applicable in transition economies that have a significantly different set of institutional dynamics. This research highlights how the unique contexts in transition economies such as Russia can present challenges for firms as they adapt to the realities of global market dynamics.

This case study from Hft, national charity for people with learning disabilities and their families, illustrates how assistive technology can play a vital role in supporting people with learning disabilities to make the move from traditional registered care to supported living within the community. The article demonstrates how personalised technology was used in response to individual issues to enable the people involved to become more confident and independent and to enjoy a better quality of life, while making the most efficient use of resources.

Time analysis and institution analysis as well as journal analysis allow the study to show literature distribution in this research area. Research hotspots and trending among different times are revealed by network-structural properties and network-temporal property. The study aims to shed light on international cluster research progress on strategic niche management (SNM).

Using searched literature data on SNM from 1991 to 2018 from the database of Web of Science (WOS), the article maps the citation network and completes the citation analysis based on bibliometric citation analysis.

These eight research streams reveal the development of SNM from theoretical description to target-oriented study and finally diversification analysis.

The paper identifies eight continuous research streams in SNM: sustainable transition, dynamical diversity, complexity, social-technical system, social innovation, social-cognitive evolution, emerging market and policy mix.

COVID-19 has galvanized educational institutions to rapidly adopt technology-enhanced learning (TEL) environment where students are required to use and manage a diverse set of information and communication technologies (ICTs). Using the Transactional Theory of Stress, the authors investigate the impact of a TEL environment on students' stress, cognitive appraisal and coping. The authors also explore how the TEL environment impacts students' learning satisfaction and performance.

A survey using Qualtrics was developed to collect the data from 275 undergraduate students. The authors used the Partial Least Squares (PLS) through SmartPLS for instrument validation and testing of the structural model. The reflective-formative model was applied as the measures used to evaluate the first-order constructs are unidimensional, and the second-order construct has a formative measurement.

Students experienced technology-related stress due to ICT use. The negative appraisal such as harm and threat leads to emotion-focused coping among students, while the constructive appraisal such as positive and challenge leads to problem-focused coping. Emotion-focused coping was found to negatively impact learning satisfaction, while problem-focused coping was found to positively impact satisfaction. The authors also found that students with a higher level of experience with online and hybrid classes, higher confidence in computer usage and lower anxiety are better equipped to deal with technostress.

This study provides the first comprehensive technostress model in the IS literature that uses formative modeling to explain technostress creators and inhibitors and emotion-focused coping and problem-focused coping, as was intended by the Transactional Theory of Stress. The result allows for rethinking TEL environment by drawing attention to strategies that can reduce technological complexity and uncertainty. For future research, it may be helpful to perform a longitudinal or experimental study to obtain rigorous causal inference.

There is limited research on the impact of technostress in the field of higher education. Also, technostress has been used inconsistently in Information Systems research, with the majority of research focusing on technostress creators and inhibitors only. This research incorporates all the constructs of the original theory adding new knowledge to the IS literature about the nature and causes of stress created by the use of technology.

The purpose of this paper is to review the evolution of policies and practices of innovation in China for the past 40 years.

This is a review paper. It adopts a different multi-dimensional, qualitative methodology to examine China’s trajectory of innovation from the economic reform since 1978, highlighting “China” experiences in the developing innovation-driven economy, also pointing the challenges that China faces in this transition process and future prospects. The analysis of China’s innovation performance was based mostly on secondary data from sources and institutions that use statistical data to build country rankings, such as the global innovation index and global competitiveness index.

It is found that the institutional foundations of the national innovation system in China are already being laid, and so far, China has made extraordinary progress regarding innovation performance from country to region and from business to individual. However, some critical challenges in its innovation-driven development still need urgent attention and effective efforts to reinforce them.

This paper aims to fill the gap in the literature by providing an overview of the evolution of the policies and practices of innovation development in China since the 1978 economic reforms and explores the Chinese experiences in transforming into an innovation-driven economy.

The purpose of this paper is to prove that the technology that customers accept is sometimes not the most advanced, but backward, and to explain why different technologies could coexist under certain market situations and government regulations.

A general model was developed to analyze choice of technology regime under evolution of market demand and government regulation led by evolutionary economics.

Market demands and government regulations can affect the change of technology regime deeply, regardless of the level of certain technology. With the change of environment factors which affect China's mobile phones technological evolution, this paper testifies to the rationality and inevitability of PHS's market success and indicates that government regulations would impact the technological choice and lead to some technology market success, but it would lead to low efficiency of resources allocation.

The paper provides an instrument for analyzing the co‐evolution of market demand, government regulation and technology regime.