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The purpose of this paper is to offer an institutional perspective of the Martin and Gomez-Mejia model. Specifically, this paper offers arguments of how institutions moderate the socioemotional wealth (SEW) and financial performance relationship.

This is an individual commentary that explores country-level institutional contingencies that affect the predicted effect of SEW dimensions upon financial performance offered by Martin and Gomez-Mejia.

The paper offers arguments of how both formal and informal institutions, such as the legal protection of minority shareholders, labor and investors; freedom of expression and information; and the country’s culture, exacerbate or ameliorate the predicted effect of the five SEW dimensions upon financial performance.

By exploring an institutional perspective of the socioemotional and financial wealth relationship, this commentary offers additional boundary conditions to those offered by Martin and Gomez-Mejia to further refine their theory.

The purpose of this study is to investigate how concentrated owners add value to Asian firms. While prior research suggests that relational owners (i.e., business groups, top management team, board, government, banks, families, and corporation) may help firms fill institutional voids, this study proposes that it is transactional owners (i.e., foreign and institutional investors) lacking this ability who contribute most to firm performance. As these owners frequently hail from contexts with well-developed corporate governance traditions, they tend to have experience with the design and implementation of such governance practices.

This study involves a meta-analysis covering 276 studies from 17 Asian countries.

This study shows that transactional owners impose effective governance practices such as separating the chief executive officer (CEO) and Chair roles and assuring board independence. These practices promote decisions benefiting all shareholders, such as preventing diversification and financial over-leveraging.

This study contributes to the comparative corporate governance literature by showing that implementing internal governance practices helps improve firm performance in Asia. It also contributes to the owner identity literature by opening the black box of how transactional and relational owners differentially affect firms’ strategic behavior. Overall, this study yields a more nuanced understanding of what transactional owners contribute to Asian firms.

This paper aims to analyze how emerging market firms upgrade their capabilities by focusing on “uncommoditizing strategies” that enable them to achieve levels of international competitiveness beyond the comparative advantages of their home countries and serve markets with premium pricing, quality and reputation of products.

In this paper, the authors studied 18 Latin American companies across six countries. Latin America represents an ideal setting because many of these countries have traditionally developed using natural resource endowments, and their firms have tended to rely on these in their internationalization. To facilitate the analysis of each case and the comparisons across cases, the authors used the same analytical framework for the companies, identifying the sources of differentiation and cost efficiency strategies that enabled these firms to upgrade their capabilities and compete on the basis of premium pricing, quality and reputation.

The analysis identified a general framework that represents an abstraction of the actions taken by these companies over time. The proposed model consists of three main elements used to pursue uncommoditizing strategies: tropicalized innovation, global efficiency and coordinated control.

Recent research on emerging market firms has shown interest in how these firms upgrade their capabilities. This paper contributes to this stream of research by providing an overarching framework that not only bridged previous narrower studies but also explained how firms can develop uncommoditizing strategies to upgrade their capabilities. Further, this paper helps managers by providing a comprehensive yet succinct overview of the main strategies that they can use to help their firms to achieve international competitiveness.

Artificial Intelligence (AI) is an emerging technology and turned into a field of knowledge that has been consistently displacing technologies for a change in human life. It is applied in all spheres of life as reflected in the review of the literature section here. As applicable in the field of libraries too, this study scientifically mapped the papers on AAIL and analyze its growth, collaboration network, trending topics, or research hot spots to highlight the challenges and opportunities in adopting AI-based advancements in library systems and processes.

The study was developed with a bibliometric approach, considering a decade, 2012 to 2021 for data extraction from a premier database, Scopus. The steps followed are (1) identification, selection of keywords, and forming the search strategy with the approval of a panel of computer scientists and librarians and (2) design and development of a perfect algorithm to verify these selected keywords in title-abstract-keywords of Scopus (3) Performing data processing in some state-of-the-art bibliometric visualization tools, Biblioshiny R and VOSviewer (4) discussing the findings for practical implications of the study and limitations.

As evident from several papers, not much research has been conducted on AI applications in libraries in comparison to topics like AI applications in cancer, health, medicine, education, and agriculture. As per the Price law, the growth pattern is exponential. The total number of papers relevant to the subject is 1462 (single and multi-authored) contributed by 5400 authors with 0.271 documents per author and around 4 authors per document. Papers occurred mostly in open-access journals. The productive journal is the Journal of Chemical Information and Modelling (NP = 63) while the highly consistent and impactful is the Journal of Machine Learning Research (z-index=63.58 and CPP = 56.17). In the case of authors, J Chen (z-index=28.86 and CPP = 43.75) is the most consistent and impactful author. At the country level, the USA has recorded the highest number of papers positioned at the center of the co-authorship network but at the institutional level, China takes the 1st position. The trending topics of research are machine learning, large dataset, deep learning, high-level languages, etc. The present information system has a high potential to improve if integrated with AI technologies.

The number of scientific papers has increased over time. The evolution of themes like machine learning implicates AI as a broad field of knowledge that converges with other disciplines. The themes like large datasets imply that AI may be applied to analyze and interpret these data and support decision-making in public sector enterprises. Theme named high-level language emerged as a research hotspot which indicated that extensive research has been going on in this area to improve computer systems for facilitating the processing of data with high momentum. These implications are of high strategic worth for policymakers, library stakeholders, researchers and the government as a whole for decision-making.

The analysis of collaboration, prolific authors/journals using consistency factor and CPP, testing the relationship between consistency (z-index) and impact (h-index), using state-of-the-art network visualization and cluster analysis techniques make this study novel and differentiates it from the traditional bibliometric analysis. To the best of the author's knowledge, this work is the first attempt to comprehend the research streams and provide a holistic view of research on the application of AI in libraries. The insights obtained from this analysis are instrumental for both academics and practitioners.

Entrepreneurial activity is a phenomenon that increases the economic growth of countries and improves their social welfare. The economic development levels of countries have significant effects on these entrepreneurial activities. This research examines which institutional and macroeconomic variables explain early-stage entrepreneurship activities in developed and developing economies.

The authors conducted panel data analysis on the data from the Global Entrepreneurship Monitor (GEM) and International Monetary Fund (IMF) surveys covering the years 2009–2018.

First, the authors' results reveal that cognitive, normative and regulatory institutions and macroeconomic factors affect early-stage entrepreneurial activity in developed and developing countries differently. Second, the authors' findings indicate that cognitive, normative and regulatory institutions affect early-stage entrepreneurship more positively in developed than developing countries. Finally, the authors' results report that macroeconomic factors are more effective in early-stage entrepreneurial activity in developing countries than in developed countries.

This study provides a better understanding of the components that help explain the differences in entrepreneurship between developed and developing countries regarding institutions and macroeconomic factors. In this way, it contributes to developing entrepreneurship literature with the theoretical achievements of combining institutional theory and macroeconomic indicators with entrepreneurship literature.

This paper aims to revisit paradigmatic depictions of organized criminal behavior. Unveiling shortcomings, it asks how contingent manifestations of organized crime can be better grasped by borrowing analytical tools from organizational scholarship.

The potential for cross-disciplinary fertilization is showcased by reflecting recent transformations of Mexican organized crime. Over a year of close-proximity fieldwork, exclusive first-hand empirical data were gathered on Los Caballeros Templarios, one of Mexico’s principal criminal organizations. Interviews with its leaders were carried out and participant observation conducted amongst local communities.

Criminal organizations have turned to the local to generate resources vital for their survival. Emerging as forces of alternative governance, the strategic use of organizational legitimacy has gained unprecedented prominence. It acts as an interface for reciprocal criminal-organization–environment influences. Largely neglected, it has driven the mutation of Mexican organized crime and the country’s armed conflict altogether.

The reported findings are of limited scope insofar as they are derived from in-depth data on a single case. Future research would ideally generate such data on further cases, enabling greater theorization qua cross-comparison.

Informed by rare first-hand empirical data, this paper offers exclusive insights into the on-the-ground realities of Mexican organized crime and its role in the fragmentation of social order and governance. This is of interest for scholars, the wider public and policymakers alike. The innovative conceptual approach is easily replicable so as to support similar enquiries.

This paper aims to analyze the relationship between public health spending and health outcome using time series data in Nigeria over the period 1980 to 2017, taking into account the role of governance by assessing how the quality of governance directly affects health status and indirectly as a mediator for the effectiveness of public health spending.

Using the Hausman statistical tests to check for the existence of endogeneity, the proper method for estimating the model for this study is the two-stage least square regression model. The two-stage least squares regression model addresses the problem of endogeneity using instrumental variables. The mediating role of governance on the effectiveness of public health spending on health was considered by an interaction of governance indicators with public health spending.

The results showed that public health spending had no significant effect on health outcome except when interacted with governance quality. The interaction of government health spending with governance effectiveness as well as that for control of corruption improved health by inducing a fall in maternal deaths, whereas government health expenditure interacted with rule of law raised maternal mortality. Public health spending interacted with regulatory quality improved life expectancy while that for political stability with public health spending induced a fall in life expectancy, poor maternal and infant health. Political stability and the control of corruption had direct influence on maternal health.

Given the predominance of public health spending in promoting access to health care and population health status for developing economies, the effectiveness of such spending should be top priority in policy makers’ agenda. This again is important because for developing economies, government revenue is generated from a small tax base due to their highly informal nature. To improve health status from public intervention in the health sector, there is indeed need for improvement in the overall state of governance in Nigeria.

This paper is one of the few country case studies which uses time series data to examine the role of governance on the efficacy of public health spending with extension of findings to maternal health and covering more measures of governance quality. The results fundamentally illuminate the importance of governance in fostering development in health and consequently enhancing economic development and growth.

The purpose of this paper is twofold: first, to present a bibliometric analysis and systematic literature review of industry convergence and value innovation to understand the current research status; second, to provide a coherent theoretical research framework for future research.

This study adopts a two-step analysis approach by combining bibliometric analysis and systematic literature review to explore the research topic of industry convergence and value innovation. Besides, two bibliometric tools, HistCite and VOSviewer, were applied to this study.

This study found that Stefanie Bröring and Fredrik Hacklin are the top two most influential authors among all authors in the sample publications. Technological Forecasting and Social Change is one of the top-ranking journal that often publishes this topic of articles. Germany and the University of Munster are the most influential country and institutions, respectively. Besides, five core research themes were identified based on keywords co-occurrence map, theoretical lenses, factors promoting industry convergence, indicators of industry convergence, the impact of industry convergence and emerging research directions. Based on the above analysis, this paper constructed a theoretical research framework of industry convergence and value innovation.

This paper only draw data from one database – Web of Science – which cannot provide broad coverage of the research topic. Besides, the bibliometric method of this paper is based on high local citation score and high-frequency words, articles in the skirting subjects’ area may not be analyzed.

With the rapid development of technology, such as nanotechnology, radio - frequency identification (RFID), etc., the iterative upgrading of products also comes. As a result, the boundary between industries is gradually blurred, and the phenomenon of industry convergence appears. Therefore, managerial decision-makers are facing challenges of how to respond to the convergence phenomena. From the firm level, firms are facing the problem of value innovation of the existing product, new product development and core competence improvement. Industries are facing the problem of transformation and upgrading. This paper provides certain theoretical insights for both firms and industries to guide the practice accordingly.

This paper is the first to use a bibliometric method to examine the topic of industry convergence and value innovation. In addition, this paper presents an in-depth analysis of this topic and provides a comprehensive theoretical research framework for future study.

This paper aims to examine the factors that affect financial services design of and their effect on the improvement of the unbanked customer well-being.

The authors use a path analysis to examine customer well-being integration in the activities of service organizations. The theoretical estimation model was conducted using a structural equation model with maximum likelihood estimation. To build a more robust model that explains customer well-being, direct and indirect effects are used in the estimation of the research model.

Perceived customer support and interaction with the storekeeper are two major factors that, positively, influence trust and customer participation (CP). In addition, CP plays a key role in enhancing financial empowerment and thereby in the production of greater customer well-being.

This study sheds light on the positive effects that the design of services has on customer well-being and exposes the underlying mechanisms that contribute to customer well-being through CP. It also provides a unique financial service format and specific strategies for managing trust and CP to enhance individual well-being in the unbanked population in a developing country.