Servitization is becoming an essential strategy for manufacturers to gain competitive advantage, and several successful cases have already been reported. However, these success stories are mainly studied for large enterprises such as GE, IBM, Xerox, and Rolls-Royce. Therefore, it is difficult to apply the cases to the servitization of SMEs, thus in this study, the status of SMEs’ servitization was examined and the applicability was studied. Among those SMEs, manufacturing of electrical equipment and basic metal parts were selected because they are related to all manufacturing industries. As a research method, companies in the relevant industry were randomly selected and CEOs, managers, and employees were interviewed. Through in-depth interviews, the company’s current servitization status in the perception of different employment levels and new servitization opportunities are analyzed. As a result of the interview, the level of servitization in the industry seems to be very low, and it seems that there are very few new servitization opportunities due to the characteristics of general SMEs, such as lack of capital and human resources. Nevertheless, companies were aware that servitization was necessary for sustainability, and they could confirm their will to take on a challenge if there was an opportunity in the future.
The COVID-19 pandemic has affected smart city operations and planning. Smart cities, where digital technologies are concentrated and implemented, face new challenges in becoming sustainable from social, ecological, and economic perspectives. Using text mining methodologies of topic modeling and network analysis, this study aims to identify keywords in the field of smart cities after the pandemic and provide a future-oriented perspective on the direction of smart cities. A corpus of 1882 papers was collected from the Web of Science and Scopus databases from December 2019 to November 2022. We identified six categories of potential issues in smart cities using topic modeling: “supply chain”, “resilience”, “culture and tourism”, “population density”, “mobility”, and “zero carbon emission”. This study differs from previous research because it is a quantitative study based on text mining analysis and deals with smart cities, given the prevalence of COVID-19. This study also provides insights into the development of smart city policies and strategies to improve urban resilience during the pandemic by anticipating and addressing related issues. The findings of this study will assist researchers, policymakers, and planners in developing smart city strategies and decision-making in socioeconomic, environmental, and technological areas.
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