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The purpose of the article was to identify the core dimensions of strategic thinking and create a measure that provides a comprehensive operationalization of the construct.

The construct validity of the measure was assessed in two studies using four samples with a total of 985 participants. The measure was created using a multi-step process that included item development and content validation, exploratory and confirmatory factor analysis, convergent and discriminant validity, criterion validity and test-retest validity.

The exploratory factor analysis (EFA) supported the existence of the three dimensions of strategic thinking (visionary, synthetic and creative thinking) as conceptually proposed. The measure was reduced to nine items. The confirmatory factor analysis (CFA) confirmed the three dimensions and revealed acceptable factor loadings and model fit. Convergent, discriminant and criterion validity were established, and the measure demonstrated acceptable test-retest reliability.

An individual's ability to think strategically is vital for making strategic decisions and relevant to upper echelon theory and strategic management. The definition and core dimensions of strategic thinking are unclear in the literature, creating confusion. This study added to the literature by defining the core dimensions of strategic thinking and developing the strategic thinking assessment (STA) to measure the construct.

Within the current institutional landscape, characterized by increased societal and governmental emphasis on environmental preservation, there is growing interest in the potential of digital transformation (DT) to advance the circular economy (CE). Nonetheless, the empirical substantiation of the connection between DT and CE remains limited. This study seeks to investigate the impact of DT on CE at the organizational level and examine how various institutional factors may shape this relationship within the Chinese context.

To scrutinize this association, we construct a research framework and formulate hypotheses drawing on institutional theory, obtaining panel data from 238 Chinese-listed high-tech manufacturing firms from 2006 to 2019. A regression analysis approach is adopted for the sample data.

Our regression analysis reveals a positive influence of DT on CE performance at the organizational level. Furthermore, our findings suggest that the strength of this relationship is bolstered in the presence of heightened regional institutional development and industry competition. Notably, we find no discernible effect of a firm’s political connections on the DT–CE performance nexus.

This study furnishes empirical evidence on the relationship between DT and CE performance. By elucidating the determinants of this relationship within the distinct context of Chinese institutions, our research offers theoretical and practical insights, thus laying the groundwork for subsequent investigations into this burgeoning area of inquiry.

This study clarifies the intricate nature of globalization's impact on unemployment rates in South Africa. Given the heterogeneous views on globalization's effect on economic development, this study aims to offer a nuanced perspective. Furthermore, it aims to explore the mediating role of entrepreneurial development in shaping the complex relationship between globalization and unemployment.

The study employs four key indicators to measure entrepreneurial development, globalization and unemployment rates in South Africa. Hierarchical regression is used to evaluate the relationship between globalization and unemployment rates, and how entrepreneurial development mediates this relationship. Additionally, both the Sobel test and bootstrapping analyses were employed to verify and validate the mediating relationship.

The study demonstrates that globalization constitutes a crucial determinant of (un)employment rates in South Africa. The study shows that entrepreneurial development, specifically in the context of established business ownership, but not total early-stage entrepreneurial activity, exhibits an inverse relationship with unemployment rates. Moreover, it was observed that the positive impact of globalization on entrepreneurial development in South Africa becomes evident as SMEs advance to the established stage.

The study's concentration on South Africa constrains the applicability of the results to other nations.

Based on the findings of this study, it is essential for emerging economies, such as South Africa, to take measures to foster a robust entrepreneurial ecosystem that can aid in the growth and international competitiveness of young SMEs.

To the best of the authors' knowledge, this study represents the first endeavor to analyze the potential impact of entrepreneurial development, as measured by both nascent and mature SMEs, on the correlation between globalization and unemployment.

The discussion on international migration has become a significant part of globalization and a topical issue in international relations, especially in developing economies which mostly relies on migrant remittances. The purpose of the study is to examine whether financial market development (equity market development and banking sector development) really drives migrant remittance flow in Sub-Saharan Africa (SSA).

The study employs the dynamic heterogeneous panel data approach-the pool mean group (PMG) and the mean group (MG) techniques in analyzing the model based on data obtained from 27 SSA countries covering the period 2000–2020.

The findings of the study revealed that financial market development (equity market development and banking sector development) is a key driver of migrant remittances flows in the SSA region. In addition, the study revealed that the following macroeconomic variables such as real interest rate, unemployment rate, global growth, emigration, and economic growth are also determinants of migrant remittances flows in the SSA region.

The reviewed empirical literature revealed that several studies documents that the macroeconomic determinants of migrant remittances include inflation, GDP, interest rate, exchange rate, population growth, financial sector development and unemployment rate. Most of these studies fail to capture both equity market development and robust banking sector development (financial market development) as critical drivers of migrant remittances flow in SSA. Also, this study uses a robust measure of equity market development and banking sector development, unlike previous studies.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0361

This study aims to examine the nonlinear threshold effect of shadow economy on sustainable development in Africa while providing additional evidence on how this nonlinear threshold effect play out in economies with high and low developed financial/credit markets.

This study uses 37 African economies between 2009 and 2017 in a dynamic GMM panel model that controls for country, year and technological effects to ensure consistency and reliability of results and findings.

The results reveal that there is an inverted nonlinear U-shape nexus between the size of shadow economy and sustainable development in both short run and long run in Africa and across economies with high and low developed credit/financial market. Also, the threshold points beyond which the size of shadow economies dampens sustainable development is lower for economies with high financial/credit market development and higher in the long run.

These results have policy implications and recommendations and suggest that shadow economies can be beneficial to sustainable development particularly when the size of shadow economies are restrained from increasing beyond certain thresholds/levels. Moreso, to restrict the adverse effect of shadow economies on sustainable development, policymakers can rely on developing their financial/credit markets to tame the destructive nature of shadow economies on sustainable development. These results are robust to technological, year/time and country effects.

To the best of the author’s knowledge, this study examines for the first in the context of Africa, the nonlinear effect of shadow economies on sustainable development under low and high developed financial markets.

The purpose of this study is to examine the effects of financial development on the economic growth of jurisdictions with systemically important Islamic finance.

The authors use several estimation methods. The primary analysis is based on the LSDVC method using a sample of 23 countries covering the period of 2000–2019.

The findings suggest that the financial sector may not be a significant factor in determining economic growth, or that it may decrease it depending on the proxy used. These results are in line with recent studies and robust across different estimation specifications and methods used.

Finance practitioners may reconsider the way they conduct their daily activities as their impact on economic growth is fading away. Similarly, policymakers should consider the role that financial development plays in economic growth alongside other factors that may influence its impact. It may be necessary to examine the moderating effects of institutional development on the relationship between finance and growth and consider the channels through which financial development can contribute to economic growth. Additionally, it would be useful to study the impact of Islamic finance on economic growth using different data sources.

Although the topic has been explored using different data sets and focusing on different samples, it has not been explored considering the impact of Islamic finance development on economic growth. Given the global appeal of the Islamic finance industry, it is worth investigating its significance for economic growth.

Although previous research has examined the role of franchising for the economic development of countries, no empirical study to date has investigated the importance of franchising for social, infrastructural, and institutional development. The authors address this research gap by applying research results from the field of sustainable entrepreneurship and highlight that franchising has a positive impact on economic, social, institutional and infrastructural development.

This study uses a fixed-effects model on a panel dataset for 2006–2015 from 49 countries to test the hypothesis that franchising positively influences various dimensions of country development such as economic social institutional and infrastructural development.

The findings highlight that franchising has a positive impact on the economic, social, infrastructural, and institutional development of a country. Specifically, the results show that the earlier and the more franchising systems enter a country, the stronger the positive impact of franchising on the country's economic, social, institutional, and infrastructural development.

This study has several limitations that provide directions for further research. First, the empirical investigation is limited by the characteristics of the data, which are composed of information from 49 countries (covering a period of 10 years). Because franchising is not recognized as a form of entrepreneurial governance in many emerging and developing countries, the available information is mainly provided by the franchise associations in the various countries. Hence, there is a need to collect additional data in each country and to include additional countries. Second, although the authors included developed and developing countries in the analysis, the authors could not differentiate between developed and developing countries when testing the hypotheses, because the database was not sufficiently complete. Third, future studies should analyze the causality issue between franchising and development more closely. The role of franchising in development may be changing depending on different unobserved country factors, economic sector characteristics, or development stages.

What are the practical implications of this study for the role of franchising in the development of emerging and developing economies? Because public policy in emerging and developing countries suffers from a lack of financial resources to improve the social, infrastructural and institutional environment, entrepreneurs, such as franchisors who expand into these countries, play an important role for these countries' development. In addition to their entrepreneurial role of exploring and exploiting profit opportunities, they are social, institutional, and political entrepreneurs who may positively influence country development (Schaltegger and Wagner, 2011; Shepard and Patzelt, 2011). Specifically, the findings highlight that countries with an older franchise sector (more years of franchise experience) may realize first-mover advantages and hence larger positive spillover effects on their economic, social, institutional and infrastructural development than countries with a younger franchise sector. Hence, governments of emerging and developing countries have the opportunity and responsibility to reduce potential market entry barriers and provide additional incentives for franchise systems in order to trigger these positive spillover effects. The authors expect that the spillover effects from the franchise sector on the economic, institutional, social and infrastructural development of a country are stronger in emerging and developing countries than in developed countries.

Previous research has focused on the impact of franchising on the economic development of a country, such as its growth of gross domestic product (GDP), employment, business skills, innovation and technology transfer. This study extends the existing literature by going beyond the impact of franchising on economic development: the results show that franchising as an entrepreneurial activity offers opportunities for economic, social, institutional, and infrastructural development, all of which are particularly important for emerging and developing economies. The findings of this study contribute to the international franchise and development economics literature by offering a better understanding of the impact of franchising on country development.

This paper aims to describe a new method for constructing the FintTech Index that measures the development of FinTech in the conventional and Islamic banking sectors in the Middle East and North Africa (MENA). It also tests the effect of this new proxy on the performance of conventional and Islamic banks in MENA countries.

Using data from Islamic and conventional banks in the MENA region between 2010 and 2020, the authors rely on Text Mining Technology with the help of AntConc, principal component and factor analysis. The study also uses the simultaneous equation model to test the interdependent relationship between FinTech and bank performance.

The study argues that the proposed measure effectively represents the FinTech industry in the MENA financial markets. The results provide micro evidence on the application of FinTech innovation in Islamic and conventional banks to improve their performance, profitability, stability and efficiency. Furthermore, the findings can provide insights for practitioners and researchers interested in implementing FinTech collaboration to enhance the performance of Islamic and conventional banks in the MENA region.

Investors can leverage this FinTech Index in portfolio investments, trading strategy and hedging in MENA countries. In addition, policymakers can benefit from the challenges outlined in this work to support the development and incubation of FinTech in conventional and Islamic banks. Thus, they can better recognize the new generation of banking services with which they need to deal and collaborate.

This paper makes a methodological contribution to the literature on FinTech search patterns by combining factor analysis with corpus processing software. This is the most comprehensive global FinTech index. In addition, to the best of the authors’ knowledge, this study is the first to examine the simultaneous relationship between the FinTech index and the performance of Islamic and conventional banks.

Although the impact of environmental, social and governance (ESG) on firms' innovation has attracted attention, the existing research findings diverge. The authors believe that failure to consider both innovation input and output is an important reason for the divergence of conclusions in the extant literature when discussing the impact of ESG and firm innovation. Thus, based on signaling theory, this study aims to reconcile these divergent findings by examining the impact of ESG performance on firms' innovation efficiency.

To seek empirical evidence to support the authors’ theoretical view, the authors conduct an empirical test based on the Tobit model using 8 years of data from Chinese listed companies.

Although ESG performance effectively improves firms' innovation efficiency, the institutional-level signaling environment (including state-owned firms and regional market development) weakens the positive effect of ESG performance on firms' innovation efficiency. Further tests suggest that financing constraints partially mediate the relationship between ESG performance and firms' innovation efficiency.

By systematically revealing whether, how and under what circumstances ESG performance improves firms' innovation advantages, this study bridges the gap in the existing literature and highlights important implications to suggest how firms can better capture the value associated with ESG.

Rapid urbanization and development of pilgrimage cities cause significant problems for the environment and society, leading to long-term challenges. Despite several discussions on city sustainability, the literature does not address some of the specific problems of pilgrimage cities. Hence, this study attempts at developing a method to examine the growth pattern and sustainability of pilgrimage cities in southern part of India.

The benchmarking method and the social, economic and environmental dimensions of sustainability are considered to construct the Pilgrimage City Sustainability Index (PCSI). Appropriate variables and categories are identified through a literature review and expert opinion survey. The benchmark values of the variables are derived by contemplating the pilgrimage cities of Tamil Nadu, one of the states with the largest tourist arrivals in India. Subsequently, three prominent pilgrimage cities from Tamil Nadu were chosen for the case study and the method was tested.

The result reveals that the cities investigated are performing above average in the sustainability index, with slight variations in their dimension scores. While the category scores of cities assist in identifying macro-level issues, the variable scores provide an insight into micro-level issues. Furthermore, the gap analysis between the benchmark and the present value of each variable discloses the immediate area of attention in each city. Thus, the cities could set more specific targets, frame strategies and/or collaborate with matching cities to bridge these gaps.

This index assessment provides a comparison of the pros and cons of these pilgrimage cities and helps identify their demand and supply. Policymakers can find appropriate tools and approaches that aid in sustainable urban development and tourism management.

To the best of our knowledge, this is the first study in emphasizing the application of the benchmarking method to assess the sustainability of Indian pilgrimage sites. With appropriate modifications, this method can be used in varied contexts across the globe.