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This systematic literature review aims to investigate the application and integration of Industry 4.0 (I4.0) technologies in transportation infrastructure construction projects focusing on sustainability pillars.

The study employs a systematic literature review approach, combining qualitative review and quantitative analysis of 142 academic articles published between 2011 and March 2023.

The findings reveal the dominance of Building Information Modelling (BIM) as a central tool for sustainability assessment, while other technologies such as blockchain and autonomous robotics have received limited attention. The adoption of I4.0 technologies, including Internet of Things (IoT) sensors, Augmented Reality (AR), and Big Data, has been prevalent for data-driven analyses, while Unmanned Aerial Vehicle (UAVs) and 3D printing are mainly being integrated either with BIM or in synergy with Artificial Intelligence (AI). We pinpoint critical challenges including high adoption costs, technical barriers, lack of interoperability, and the absence of standardized sustainability benchmarks.

This research distinguishes itself by not only mapping the current integration of I4.0 technologies but also by advocating for standardization and a synergistic human-technology collaborative approach. It offers tailored strategic pathways for diverse types of transportation infrastructure and different project phases, aiming to significantly enhance operational efficiency and sustainability. The study sets a new agenda for leveraging cutting-edge technologies to meet ambitious future sustainability and efficiency goals, making a compelling case for rethinking how these technologies are applied in the construction sector.

This paper aims to present the trajectory of corporate family-friendly policies (FFPs) in South Korea, as it evolved from an emerging economy to a developed country. The adoption of FFPs by South Korean corporations since the 1960s has been shaped by a dynamic interplay of cultural, political, economic, legal, social and organizational forces. The authors use the example of South Korea to propose a three-stage conceptual model for the adoption of FFPs in emerging economies.

Adopting the institution-based view, the authors explore the theoretical framework for implementing FFPs in corporations in emerging economies. This paper uses South Korea as a case study, reviewing its economic and corporate transitions from the early 1960s through 2023. The authors analyze cultural and macro-level forces, including political, economic, legal and social contexts to understand their impact on the adoption of FFPs.

The adoption of FFPs in South Korea encompassed three historical stages – embryonic, stagnant and leaping. The embryonic stage brought the birth of social interest in a worker-friendly environment, alongside rapid economic growth. In the stagnant stage, economic growth plateaued, resulting in stalled discussions of FFPs. In the leaping stage, economic recovery raised employee expectations, societal demands for FFPs to address ultralow fertility rates intensified and corporations adopted FFPs. All three stages are apparent in an emerging economy that is undergoing rapid growth and industrialization.

There has been scant investigation into the historical adoption of FFPs by emerging economies. The findings enrich the international literature by proposing a developmental model of the adoption of FFPs in emerging economies.

This study investigates how finance contributes to socioeconomic development through an inclusive financial system and the impact of financial inclusion programs pursued by non-bank financial institutions (NBFIs) in Ghana.

In this study, we leverage a rich, nationally representative household survey (ICPSR, 2014) from 17 Ghanaian MFIs (1,629 households), sponsored by the World Bank, to analyze microfinance impacts using a generalized method of moment (GMM) and channel analysis.

Our findings reveal a statistically significant positive impact of donor-funded financial inclusion projects on targeted households’ welfare, regardless of implementing agency (donor, government or microfinance institution). The channel analysis further suggests that credit unions and savings and loan (S&L) institutions may be particularly effective conduits for delivering these welfare gains through financial inclusion programs. These findings hold valuable insights for funders seeking to maximize the welfare impact of such interventions: credit unions and S&Ls may be preferential channels for delivering financial inclusion programs aimed at improving household well-being.

The poverty-reducing impact of informal non-bank financial intermediaries like credit unions and susu groups highlights the need for policies that integrate these institutions into the formal financial system. Therefore, donor-funded initiatives should not rely solely on local government implementation. Since the focus of this study is on Ghana, we caution readers to exercise caution when generalizing the findings to other jurisdictions.

The World Bank/IMF-backed financial sector reform in Ghana has many important implications for financial inclusion and welfare impacts which are rare in other jurisdictions. Our finding has policy implications for agencies that wish to translate financial inclusion into significant economic inclusion, especially in middle- and low-income countries (LICs) where the COVID-19 pandemic and the global impact of the recent war in Ukraine could exacerbate the exclusion gap.

The focus of this study is to understand if MFIs, funded by different sources, can contribute to inclusive growth and welfare. This research employs channel analysis, considering that donor and government programs are often channeled through community-based NBFIs and offer key contributions to the existing body of knowledge on financial inclusion and household welfare. This study extends the current literature by providing a deeper understanding of the role of each NBFI type in deepening financial inclusion and improving household welfare and allows policymakers, donors and governments to target inclusion efforts for maximum impact.

This study investigates the key factors that influence customer satisfaction when interacting with augmented reality shopping assistance applications (ARSAPs). ARSAPs grant consumers the capability to experience products in a virtually simulated user environment before product acquisition. With the development of mobile e-commerce due to breakthroughs in smartphone and augmented reality (AR) technologies, there is an increasing potential for these emergent AR mobile services, yet there is a need for further improvement.

This study initially explored the key satisfaction factors for ARSAPs by utilizing topic modeling of a collection of actual user reviews. These factors are subsequently revisited and complemented by existing literature, and finally verified through logistic regression analysis supported by sentiment analysis.

This study identified the key factors that influence customer satisfaction with ARSAPs, including visuality, sense of reality, credibility, format, completeness, understandability, relevance, flexibility, response time, reliability, availability, ease of use and privacy. In particular, two additional factors (i.e. visuality and sense of reality) were newly identified as important in the context of AR, despite their previous omissions in existing literature.

This study is the first to investigate the key factors that influence customer satisfaction with ARSAPs from users' perspectives, utilizing topic modeling of a large amount of real-world data on actual user feedback. By identifying new factors (i.e. visuality and sense of reality) that were not identified in previous literature, this study provides important academic implications for a broader understanding of AR and related technologies that are essential elements of the metaverse. This study also provides valuable insights for developers and companies in the e-commerce industry on how to optimize AR applications and develop more targeted and effective marketing strategies in this field.

This study investigates the effect of entrepreneurial orientation and government support on the innovation openness of South Korean manufacturing firms. By compartmentalizing entrepreneurial orientation and government support, this study seeks to elucidate their effects on the breadth and depth of firms' knowledge searches.

The study utilizes Poisson regression analysis with empirical data from 2,353 South Korean manufacturing firms collected from Korean Innovation Survey data.

Analysis reveals nuanced influences of various factors on firms' open innovation activities. Innovativeness positively affects knowledge search breadth and depth, highlighting the role of innovation-oriented processes, while competitive aggressiveness influences depth, thereby underscoring the pursuit of specialized knowledge acquisition. Proactiveness positively affects breadth but negatively affects depth, suggesting the importance of maintaining broad perspectives. Government support scope positively affects both breadth and depth, reflecting the significance of external support in encouraging inclusive knowledge exploration. The importance of government support positively influences depth, emphasizing its vital role in establishing collaborative relationships to enhance in-depth knowledge acquisition.

This study provides novel insights by exploring the nuanced implementation of open innovation in latecomer economies, especially South Korea, which experienced rapid economic development by leveraging innovation. The identification of specific factors influencing knowledge search breadth and depth contributes to the literature on open innovation by providing strategic guidelines for firms and policymakers. This practical implications of this study suggest that firms should align their strategies with entrepreneurial orientation while leveraging pertinent government support.

As the restaurant industry is a representative service industry, long-living restaurants could carry the secrets of key factors that are needed to establish “sustainable business models” in service industry. The authors aim to answer the following question: How can restaurants innovate business model sustainably to last for more than 50 years through the era of digital transformation with open innovation dynamics?

Five long-lived restaurants from Daegu, Kyoto and Naples were selected separately by using the snowballing approach, and were analyzed through in-depth interviews and participatory observations.

Restaurants in Daegu have lived long mainly because of adding value to their recipes. Restaurants in Kyoto have lived very long, primarily by decoupling their original services, ingredients and recipes. Restaurants in Naples have enjoyed long lives by coupling or recoupling their ingredients, services and recipes.

The implication is that long-living restaurants or service firms could maintain their own sustainability by dynamically circling the following services: (1) adding and boning recipes (focusing on special menus or products), (2) coupling of ingredients (creative recoupling of original ingredients) and (3) decoupling of services (disconnecting the value chain and rebalancing it).

The authors contribute to the literature on leadership by investigating how characteristics of principal investigators (PIs) affect innovation performance, and how collaborative and non-collaborative projects moderate this relationship within the context of inter-organisational research projects.

The authors analysed panel data from the National Science and Technology Information Service on 171 research projects within a biomedical and regenerative medicines programme overseen by the Korea Health Industry Development Institute. The authors used a hierarchical regression model, based on the ordinary least squares method, to examine the relationship between PI characteristics and performance, considering both quantity and quality.

The results show that the characteristics of PIs have diverse effects on the quantity and quality of innovation performance. Gender diversity within PIs negatively affects the quality of innovation performance, while the capacity of PIs positively influences it. Moreover, the degree of PI’s engagement is positively associated with the quantity of innovation performance but does not have a significant relationship with the quality of performance. In terms of moderating effects, collaborative projects with multiple leaders seem less reliant on PI capacity than non-collaborative projects led by a single leader, in terms of innovation performance.

The results contribute significantly to the literature on innovation management by examining the role of leadership in collaborative environments to enhance innovation performance, addressing the need for empirical evidence in this area. Analyses of PI characteristics in government R&D management can lead to improved team performance, more efficient processes and effective resource allocation, ultimately fostering innovation.

Online reviews derived from peer communications have been increasingly viewed as an important approach for consumers to gather pre-purchase information. This study aims to examine factors affecting online reviews adoption in social network communities and then indicates the underlying mechanism of this process based on an extended information adoption model (IAM).

Using the data collected from 242 users of a social network community via an online survey, the proposed model is empirically assessed by partial least squares-based structural equation model (PLS-SEM).

The results show that both perceived diagnosticity and perceived serendipity are drivers of online reviews adoption in social network communities. Meanwhile, community identification is not only an antecedent of diagnosticity and serendipity perceived by community members, but also motivates source credibility which, in turn, positively influences argument quality. Finally, the importance of argument quality and source credibility in reviews adoption process is also presented.

This study extends the IAM and enriches the literature regarding online reviews adoption. It deepens the understanding of serendipitous experiences and community identification in social networking context by addressing their important roles in the authors' extended IAM.

This paper aims to a systematic literature review followed by a critical synthesis to unveil the underlying knowledge that shapes our understanding of festivals in the digital era. Findings reveal a diverse range of digital applications, such as social media, virtual technologies and event apps, used in festival contexts. Analysis also highlights the digital-influenced experiences of various stakeholders involved, particularly concerning brand, place, destination image and cocreation. The study emphasises the pressing need to investigate the role of generative artificial intelligence-based applications in festivals, pinpointing areas ripe for research such as representation and authenticity, community engagement and participation, memories and storytelling, as well as power and accessibility. By demonstrating how digital technologies intersect with festivity, this research opens new avenues for exploring the dynamic relationship between technology and cultural expression, advocating for a deeper understanding of their integration in the digital age.

This paper provides a systematic review of literature pertaining to the welfare impact of financial inclusion. We identify the 50 most influential publications in the field that have evolved into three distinct categories, each of which we critically review to identify the main contributions of this research area.

By conducting a state-of-the-art literature review, this paper identifies the most influential papers in the research fields on the welfare impact of financial inclusion. One caveat is that as newer publications generally have fewer citations, reviewing prior work can result in a misleading account of emerging trends and research directions. Manual assessment of publications after 2018 facilitates a discussion of important emerging research trends and their directions.

The three key research streams are identified as financial services and financial accessibility, financial capability, and financial literacy and household welfare. By assessing publications from 2018 to 2023, we also document four key emerging research trends: Fintech and digital financial inclusion, sustainability and climate change, growth, poverty, income inequality, financial stability, and Entrepreneurship. Drawing on these emerging trends, we highlight the opportunities for future research.

Keyword searches have limitations as some papers might be overlooked if they do not match the specific search criteria, despite their relation and significance to the overall topic of the welfare impact of financial inclusion. To address this issue, we have expanded this review by incorporating more literature from other databases, such as the Scopus database which may alleviate this issue.

The three key research streams contribute to a comprehensive understanding of the welfare impact of financial inclusion. The emerging trends integrate existing knowledge and leave the chance for innovative research to expand the research frontier.

This paper fulfils the systematic literature review streams in the welfare impact of financial inclusion and provides fruitful opportunities for future research.