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The purpose of this paper is to review literature on home-country institutional factors influencing the internationalization of small and medium-sized enterprises (SMEs) from emerging markets. Based on the analysis, the authors propose a research agenda to guide future studies in this field.

This paper follows a systematic procedure to review 58 selected articles on how institutional contexts in emerging economies impact SME internationalization, covering studies from 1999 to 2023. This period was chosen to capture recent research following the post-1990 market liberalization in most emerging economies, which has shaped new opportunities and challenges for SMEs expanding abroad.

This literature review shows that SMEs’ internationalization knowledge in emerging markets is strongly shaped by home-country institutional conditions. Key mechanisms include imprinting by home institutions and learning from domestic institutional sources, both critical yet underexplored areas in SME development. These processes offer substantial opportunities for future research into how institutional contexts influence SMEs’ global growth.

This research builds on previous studies that have emphasized firm-level and external factors such as host market appeal, consumer needs and resource availability driving SMEs’ internationalization. Focusing on home institutional factors, the authors provide a comprehensive review of academic studies and propose a future research agenda on the external institutional influences shaping emerging market SMEs’ global expansion.

To identify and analyze the relevant themes in the literature on digital transformation and internationalization, revealing opportunities for future studies.

A systematic literature review was developed using the Scopus and Web of Science databases. Initially, 156 publications were identified. Based on inclusion/exclusion criteria, a final sample of 74 articles was reached. A bibliometric and qualitative analysis were developed.

Eight main themes related to internationalization, such as internationalization strategy, internationalized companies, marketing-related issues, export, global supply chain, entrepreneurship and new ventures, SMEs internationalization and internationalization of educational institutions, were identified. Eight main themes related to digital transformation were also identified, including internationalization drivers, digital technologies, business model innovation, digitalization, Industry 4.0, digital platforms and e-commerce, people and digital transformation and digital institutional environment.

In recent years, the term digital transformation has become part of the daily lives of many organizations and of life in society itself. For internationalized companies, this discussion has also become present. Although a relationship between digital transformation and internationalization is often presented, the dimensions of analysis of this relationship are still very fragmented, and this study presents a systemic view of the themes. These themes represent opportunities for future studies.

This study aims to empirically examine the unexplored effects of organizational spirituality on the relationship between knowledge sharing and organizational practical wisdom (phronesis). By integrating these constructs, this study seeks to uncover the mechanisms through which organizations can cultivate practical wisdom and foster a more humanistic approach to management. Contributing in this way aids in the advancement of sustainable and ethical business practices. Drawing upon the theoretical foundations of knowledge dynamics and spirituality in the workplace, this research offers novel insights into the enablers of organizational phronesis.

To explore the influence of spirituality on the relationship between knowledge sharing and practical wisdom, a comprehensive study was conducted. An online survey was conducted to collect answers from 365 workers, ensuring a diverse and representative sample. Partial least squares structural equation modeling to test our hypotheses.

This research reveals a significant correlation. Knowledge sharing, when supported by spirituality, enhances workplace efficiency and extends its positive impact beyond the workplace. This underscores the importance of embracing organizational spirituality and knowledge sharing to embody organizational phronesis and achieve a humanized strategy. By fostering this, organizations can promote effective decision-making and problem-solving, thereby enhancing their sustainable performance.

This research breaks new ground by empirically investigating and establishing the previously unexplored effects of knowledge sharing and organizational spirituality on organizational phronesis, thereby contributing to the evolving field of organizational behavior, sustainability and business ethics.

This paper explores Lean Six Sigma principles and the DMAIC (define, measure, analyze, improve, control) methodology to propose a new Lean Six Sigma 4.0 (LSS 4.0) framework for employee occupational exams and address the real-world issue of high-variability exams that may arise.

This study uses mixed methods, combining qualitative and quantitative data collection. A detailed case study assesses the impact of LSS interventions on the exam management process and tests the applicability of the proposed LSS 4.0 framework for employee occupational exams.

The results reveal that changing the health service supplier in the explored organization caused a substantial raise in occupational exams, leading to increased costs. By using syntactic interoperability, lean, six sigma and DMAIC approaches, improvements were identified, addressing process deviations and information requirements. Implementing corrective actions improved the exam process, reducing the number of exams and associated expenses.

It is important to acknowledge certain limitations, such as the specific context of the case study and the exclusion of certain exam categories.

The practical implications of this research are substantial, providing organizations with valuable managerial insights into improving efficiency, reducing costs and ensuring regulatory compliance while managing occupational exams.

This study fills a research gap by applying LSS 4.0 to occupational exam management, offering a practical framework for organizations. It contributes to the existing knowledge base by addressing a relatively novel context and providing a detailed roadmap for process optimization.

The purpose of this paper is to review cases of artificial reefs built through additive manufacturing (AM) technologies and analyse their ecological goals, fabrication process, materials, structural design features and implementation location to determine predominant parameters, environmental impacts, advantages, and limitations.

The review analysed 16 cases of artificial reefs from both temperate and tropical regions. These were categorised based on the AM process used, the mortar material used (crucial for biological applications), the structural design features and the location of implementation. These parameters are assessed to determine how effectively the designs meet the stipulated ecological goals, how AM technologies demonstrate their potential in comparison to conventional methods and the preference locations of these implementations.

The overview revealed that the dominant artificial reef implementation occurs in the Mediterranean and Atlantic Seas, both accounting for 24%. The remaining cases were in the Australian Sea (20%), the South Asia Sea (12%), the Persian Gulf and the Pacific Ocean, both with 8%, and the Indian Sea with 4% of all the cases studied. It was concluded that fused filament fabrication, binder jetting and material extrusion represent the main AM processes used to build artificial reefs. Cementitious materials, ceramics, polymers and geopolymer formulations were used, incorporating aggregates from mineral residues, biological wastes and pozzolan materials, to reduce environmental impacts, promote the circular economy and be more beneficial for marine ecosystems. The evaluation ranking assessed how well their design and materials align with their ecological goals, demonstrating that five cases were ranked with high effectiveness, ten projects with moderate effectiveness and one case with low effectiveness.

AM represents an innovative method for marine restoration and management. It offers a rapid prototyping technique for design validation and enables the creation of highly complex shapes for habitat diversification while incorporating a diverse range of materials to benefit environmental and marine species’ habitats.

This study aims to examine how Brazilian universities have implemented the sustainable development goals (SDGs) in institutional practices, curriculum and teaching, management and community outreach programs.

This study is based on content analysis of the data sets of Brazilian higher education courses and their link to SDGs. A literature review has also been developed to integrate the knowledge of sustainability practices in Brazilian universities. Dashboards will be used to present the related findings.

Brazilian universities’ practices have concentrated their efforts on SDGs, which include responsible consumption and production, sustainable cities and communities and quality education. The literature emphasizes energy efficiency, reflecting its prominence as a subject of study among universities.

This research highlights the innovative use of data analysis techniques to present the findings. It also provides examples of environmental, social and governance (ESG) practices, frameworks and tools that can help sustainability management in this sector.

The organizational digital transformation (ODT) in companies presents small and medium-sized enterprises (SMEs) – who remain at the beginning of this transformation – with the challenge of offering digital services based on sensor technologies. Against this backdrop, the present paper identifies ways SMEs can enable digital servitization through sensor technology and defines the possible scope of the organizational transformation process.

Around 21 semi-structured interviews were conducted with experts from different hierarchical levels across the German manufacturing SME ecosystem. Using the Gioia methodology, fields of action were identified by focusing on influencing factors and opportunities for developing these digital services to offer them successfully in the future.

The complexity of existing sensor offerings must be mastered, and employees' (data) understanding of the technology has increased. Knowledge gaps, which mainly relate to technical and organizational capabilities, must be overcome. The potential of sensor technology was considered on an individual, technical and organizational level. To enable the successful implementation of service offerings based on sensor technology, all relevant stakeholders in the ecosystem must network to facilitate shared value creation. This requires standardized technical and procedural adaptations and is an essential prerequisite for data mining.

Based on this study, current problem areas were analyzed, and potentials that create opportunities for offering digital sensor services to manufacturing SMEs were identified. The identified influencing factors form a conceptual framework that supports SMEs' future development of such services in a structured manner.

Humans now enjoy a better life because of Artificial Intelligence (AI). AI has a significant impact on the creation of smart cities. Modern applications based on big data, Internet of Things (IoT) systems, and deep learning require extensive use of complex computational solutions. Thus, the following problems arise: (1) what are smart cities? (2) what is AI? (3) How is AI used in smart cities? To respond to this problem, the following objective was set: to map how AI is used in smart cities. For this purpose, a qualitative methodology based on a narrative analysis of the literature was used. It is concluded that AI and smart cities are complementary technologies that can assist cities in tackling difficult issues including public safety, transportation, energy management, environmental monitoring, and predictive maintenance. This chapter’s findings, while broadly applicable, offer valuable insights into the Gulf region’s unique context, where rapid urbanization and technological adoption intersect with cultural and environmental considerations. The integration of AI in smart cities presents a promising avenue for the Gulf region to address its specific challenges and leverage its economic and infrastructural strengths, thereby contributing to the broader goals of innovation, development, prosperity, and well-being as envisioned in the region’s Vision 2040 initiatives.

The aim of this paper is to clearly mark the clusters in the related literature using bibliometric analysis and draw useful implications for the academic research purposes especially in the stream of Supply Chain Management (SCM).

By employing rigorous selection criteria, sample articles were selected for synthesizing and conducting a bibliometric analysis. This paper tries to identify the significance of the concept of reshoring with the aspect of SCM, operations, logistics etc. Starting from sample selection, systematic selection criteria has been used to generate the database, using Scopus. The sample size was 184. Using VOSViewer, statistical and graphical representations were generated for clusters in the literature that will be useful for judging the trends of research under shoring concepts.

Findings show that unclear difference compared to other supply chain concepts obstructs further theory development within reshoring concepts. To address this challenge, the review categorizes themes and defines boundaries. Based on the analysis findings, this paper advocates for additional research in areas that are crucial but have received limited or no attention. Specifically, there is a need for action research on motivations, governance modes, and location selection concerning reshoring decisions.

This review has a few limitations. The absence of publications in other language, than English, may result in a significant loss of knowledge. This research paper cited a few relevant publications in the form of conference papers, industry reports, books, and book chapters. Nonetheless, they were excluded from the organized bibliometric audit. To further advance the knowledge in this field, exploratory longitudinal case studies will bring to focus the changes on manufacturing strategies using the shoring and reshoring stages.

A current example of this is a French company named Stil (Terzian, 2020) which brought its glass thermometer production back to its home after the unexpected closure of its suppliers from China. Another Italian firm has restarted production of disposal bio-degradable face masks after 15 years to compete with low-cost alternatives from China (Greco, 2020). Reshoring concepts are now under consideration of organizations including Boeing, Bosch, Phillips and more.

To the best of our knowledge, this represents one of the earliest efforts to conceptualize and define reshoring concepts, aiming to distinguish them from one another appropriately. To accomplish this, the earlier demarcated clusters precede this section’s classification of reshoring concepts illustrated in Table 8. Based on the synthesis of definitions and thematic clusters above, we have concluded the literature review in this emerging field. It is intended to contribute to theory development and practitioner support in reshoring decisions by clarifying the dimensions.

Existing studies have paid less attention to the impact of knowledge accumulation on digital transformation and its boundary conditions. Hence, this study aims to investigate the effects of ambidextrous knowledge accumulation on manufacturing digital transformation under the moderation of dynamic capability.

This study divides knowledge accumulation into exploratory and exploitative knowledge accumulation and divides dynamic capability into alliance management capability and new product development capability. To clarify the relationship among ambidextrous knowledge accumulation, dynamic capability and manufacturing digital transformation, the authors collect data from 421 Chinese listed manufacturing enterprises from 2016 to 2020 and perform analysis by multiple hierarchical regression method, heterogeneity test and robustness analysis.

The empirical results show that both exploratory and exploitative knowledge accumulation can significantly promote manufacturing digital transformation. Keeping ambidextrous knowledge accumulation in parallel is more conducive than keeping single-dimensional knowledge accumulation. Besides, dynamic capability positively moderates the relationship between ambidextrous knowledge accumulation and manufacturing digital transformation. Moreover, the heterogeneity test shows that the impact of ambidextrous knowledge accumulation and dynamic capabilities on manufacturing digital transformation varies widely across different industry segments or different regions.

First, this paper shifts attention to the role of ambidextrous knowledge accumulation in manufacturing digital transformation and expands the connotation and extension of knowledge accumulation. Second, this study reveals that dynamic capability is a vital driver of digital transformation, which corroborates the previous findings of dynamic capability as an important driver and contributes to enriching the knowledge management literature. Third, this paper provides a comprehensive micro measurement of ambidextrous knowledge accumulation and digital transformation based on the development characteristics of the digital economy era, which provides a theoretical basis for subsequent research.