Journal of Economy and Technology最新文献

To ensure food security in this age of production and supply disruption, the agricultural sectors of emerging economies are gradually adopting more smart technologies to achieve sustainability. However, literature on the challenges of adopting Agriculture 4.0-based smart farming technologies is still very limited. This research, therefore, explores the contextual interrelation among the challenges to adopting Agriculture 4.0-based smart technologies in the agricultural production system from a developing country's perspective and prioritizes the identified challenges. A case study was conducted in Bangladesh, an emerging economy, where data was collected through interviews and focus group discussion sessions. A total of 21 challenges were finalized as relevant to the country's context. The Interpretive Structural Modeling (ISM) technique was deployed to develop a hierarchical structure depicting the challenges' interrelations. The challenges were later ranked based on their relevant weight using the Best-Worst Method (BWM). This study finds technological complexity, lack of collaboration among different stakeholders, inadequate support from the government, and lack of action plans to have very high driving power. Challenges such as high initial investment and operational costs, lack of skilled workforce, and farmers' resistance were found to be dependent challenges. This study is expected to contribute by providing a deeper insight into the challenges of adopting Agriculture 4.0 in emerging economies so that practitioners can take effective mitigating measures to streamline the plant-based agricultural production systems to promote food security and sustainability.

With the booming of LLM technologies (e.g., ChatGPT), people’s goals and behaviors in information search have been reshaped significantly. This paper attempts to conceptually discuss how LLM technologies might revolutionize these important aspects in information search and provides a comprehensive analysis of the technological advancements and capabilities of ChatGPT, highlighting its potential to disrupt traditional search engines like Google. In addition, this paper contrasts ChatGPT’s conversational approach with Google’s link-based search model, offering a detailed examination of the implications for online search advertising and user behavior and explaining why Google is concerned about ChatGPT as well as its potential reactions.

This paper aims to explore the impact of COVID-19 pandemic on women's economic empowerment in Bangladesh. Based on the available literature, this paper develops a holistic framework for economic empowerment and measures how COVID-19 pandemic has contributed to changes in the framework. The study adopts a quantitative research method to address the research question; of whether and to what extent women entrepreneurs were economically empowered by their businesses during COVID-19 pandemic. The empirical data was collected from 52 Bangladeshi women entrepreneurs via telephone interviews and online surveys using a structured questionnaire in February–March 2022, and respondents were chosen randomly from various online social groups and pages. The findings suggest that women entrepreneurs have contributed to family spending, resource allocation, and decision-making. However, their role has diminished significantly in asset ownership during the pandemic. In addition, women's attitudes toward violence, social stigma, and education have shifted dramatically. Furthermore, women entrepreneurs face several challenges, including a lack of government support, limited availability of credit, a lack of entrepreneurial education, and an increased responsibility in the family. Although numerous research studies have demonstrated how COVID-19 pandemic affected women during the pandemic, the impact of COVID-19 pandemic on economic empowerment through gender lenses has frequently been disregarded in Bangladesh context. This study bridges that gap, particularly in developing economies context and the framework constructed in this study is instrumental for understanding the dynamics of economic empowerment that can be applied in future research.

This Grounded Theory examines the in-depth dynamics of cybersecurity professionals working in financial organizations regarding stress management, risk handling, communication challenges, and perceived benefits from work. This study conducted a grounded theory approach with cybersecurity professionals through in-depth interviews to comprehensively understand these dynamics. The findings identify critical themes about emotional and psychological resilience, effective risk management strategies, overcoming communication challenges, and recognizing organizational and personal benefits from robust cybersecurity practices. The current research highlights that for better well-being and performance of cybersecurity teams, extensive support systems, proactive risk management, and communication are very important and should be embedded within organizations. By utilizing the grounded theory, this study offers a nuanced exploration of the complex and entwined factors that impact daily operations and the overall effectiveness of cybersecurity professionals, offering valuable insights for improving organizational policies and creating a supportive work environment. These findings suggest, most importantly, that robust support systems, risk assessments, clear communication protocols, and training opportunities should be developed and operationalized in financial organizations to help professionals reduce stress at work and strengthen resilience factors. Not only does this research project cover significant gaps in the literature, but it also really helps financial organizations further improve their currently existing cybersecurity strategies to better support personnel by using this framework.

The current era is witnessing a rapid pace of technological innovation and accelerated urbanization globally. This study examines the impact of technological innovation (trademark registrations) and urbanization on economic growth in Tanzania from the period 2002–2021 while accounting for inflation and industrialization in the regression model. Estimation is done using Kernel Regularized Least Squares (KRLS), a machine-learning technique. Results show that technological innovation has a positive impact on economic growth, with an average increase of 0.03 %. Inflation has a negative impact; reducing economic growth by 0.02 %. Urbanization and industrialization have positive impacts, increasing economic growth by 0.58 % and 0.16 %, respectively. Further, the study shows that the average increase in technological innovation (trademark registrations) leads to a 0.01 % increase in economic growth at the 50th percentile and a 0.16 % increase at the 75th percentile. However, at the 25th percentile, technological innovation reduces economic growth by 0.05 %. Conversely, the average increase in urbanization increases economic growth by 0.38 %, 0.61 %, and 0.83 % at the 25th, 50th, and 75th percentiles, respectively. Robustness tests confirm that technological innovations and urbanization promote economic growth in Tanzania. The study discusses the potential channels through which technological innovation and urbanization influence economic growth in Tanzania and transforms society, and provides practical policy implications.

The aim of this paper is to investigate the role of green finance on sustainability in Germany and the European Union (EU). This aim will be achieved by examining recent data in this field via a panel fixed effect regression model. When comparing Germany and the EU in terms of the value of issued green bonds, the results show that Germany is leading in reducing emissions with several initiatives. One plausible reason could be the higher per-capita income of residents, which enables them to use more energy-efficient technologies than other EU countries. The fixed effect regression results reveal that in Europe, the value of issued green bonds has a negative impact on emissions. Meanwhile, expenditure on environmental protection, fossil fuel subsidies, and environmental tax revenue are counterproductive and do not impact lowering emissions.

There is an increasing emphasis on utilizing ICT to drive global governmental transformation to enhance efficiency and cost-effective service delivery. Smart governance represents a novel and data-driven progressive approach, prioritizing intelligence in operations, upholding an exceptional standard of public administration, and contributing to the development of smart cities and nations. A smart city uses advanced technology and innovation to augment urban life and efficiency to ensure sustainability and a smart nation extends these principles across regions. Although smart governance is a priority in building smart cities and nations, its challenges and strategies are still not well-defined from the perspective of developing a smart nation and city. Smart Bangladesh is an inclusive digital transformation initiative and a grand vision of the government, advancing towards becoming a developed, prosperous, and smart nation by focusing on four key pillars: smart citizens, smart government, smart economy, and smart society. This study involved interviews with multi-level stakeholders and served as a preliminary step toward providing insights into and understanding the significant challenges and priorities in transforming a smart country and building smart cities. The research identifies fourteen prime challenges of smart governance that are pivotal for transforming Bangladesh into a smart nation and creating smart cities. Among these, stakeholders particularly emphasize the need for administrative reform, robust smart infrastructure, finance, uninterrupted electricity, strong data privacy and security, and effective big data management as crucial to the success of the country's vision. The analysis proposes a conceptual framework based on stakeholders' priorities that can serve as a practical guideline for practitioners to develop a strategic roadmap for effective preparedness to transition to a smart nation and build smart cities. The study fills a research gap in governance theory concerning the evolution of transformative technology-based governance, particularly emphasizing the significance of smart governance in the development of smart nations and cities.

Aesthetics play a pivotal role in enriching the learning experience and are indispensable for fostering optimal educational environments. This study aims to identify the factors that shape aesthetic experiences within educational gaming contexts. Employing a qualitative methodology, data were scrutinized through inductive content analysis. A review of pertinent literature on aesthetic elements from 1994 to 2022 yielded 250 selected resources. Subsequently, based on purposive sampling, 108 sources were analyzed. These sources were systematically coded and recorded in a table as key phrases pertaining to the key components of elements of game aesthetics. In the final phase, eight faculty members with expertise in educational technology and art, specializing in educational games, evaluated the factors influencing aesthetic experiences. Their collective expertise affirmed the face and content validity of the identified factors. The findings revealed six key factors that significantly shape the aesthetic experience in educational games. These factors are instrumental in fostering player immersion, as they significantly influence attention, visualization, and emotional engagement. The findings also highlight the imperative for game designers and developers to incorporate these factors into future educational games to enhance the quality of game-based learning.