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The purpose of this paper is motivated by research-based assertions that: the causes of economic growth in countries like India are not well understood; they are not elucidated by using simple bivariate relationships between economic growth and other variables, taken one at a time; and dynamic linkages between growth, trade openness and financial sector depth are required for any comprehensive treatment of this inquiry.

This paper investigates the pivotal role of financial depth (defined as the relative importance in the economy of the banking sector or the stock market) and whether it bears any evidential relationship to trade openness and economic growth during the era of Indian post-globalization since 1990. Two key objectives are to uncover whether there is a long-run relationship between the variables and whether they can be said to cause one another. Autoregressive distributive lag (ARDL) bounds testing procedures and vector autoregressive error correction model (VECM) approaches were used to derive the results.

This paper affirms that the variables are indeed formally cointegrated. It was also found that trade openness, economic growth and financial sector depth Granger-cause each other.

This paper demonstrates that greater trade openness can predictably accelerate India’s economic growth. If policymakers wish to maintain sustainable economic growth in India, they can do so by encouraging both freer trade and financial market development in the long run.

No investigation of this type and sophistication has hitherto been performed for India. The methods developed for this study can also be applied to any of the vast range of countries for which dynamic growth-openness-financial depth interactions have not already been investigated.

The purpose of this paper is to examine the impact of trade openness on the cost of financial intermediation and bank performance. Developed and developing countries are currently pursuing trade openness to achieve higher bank performance with less intermediation costs.

In attaining the study's objectives, several regression methodologies were employed (i.e. system generalized method of moments (GMM), fixed effect, pooled ordinary least squares (OLS) and vector error correction model (VECM)). The authors tested the hypothesis on data of 885 banks from BRICS countries, which span 18 years (2000–2017).

The results from this robust study showed that embedding higher trade openness reduces financial intermediation costs and improves banks' performance. The results remain robust following the use of different estimation methods and alternative variables as proxies. In addition, results were still valid upon considering bank level, industry level and country level as control variables. It was also observed that the relation pattern holds its rigidity during “good” and “bad” times (i.e. the global financial crisis).

The results provide better references for bank regulators, academics and policymakers to take advantage of the low financial intermediation costs resulting from trade openness.

Amid the rising concerns about the unbalanced globalization, there has been a renewed interest in examining the pattern of international trade and investment, especially between emerging and mature economies. In this study, the purpose of this paper is to examine the role of different institutional and market-related determinants in shaping the pattern and mode of foreign investments in emerging and developed markets.

The empirical investigation is based on a balanced panel sample of 45 countries (28 developed countries and 17 emerging economies) over an 11-year period from 2002 to 2012. A series of multivariable regressions are conducted to evaluate both the trend and the mode of foreign investment with rigorous robustness checks.

Overall, the authors find that market openness and capital market development are the main determinants of a country’s ability to attract foreign investment in developed countries, while the governance environment is the key consideration in emerging markets. Regarding the mode of foreign investment, the authors find that, in developed markets, foreign investors tend to choose direct investment in the countries with more open markets. In emerging markets, however, the choice between direct and indirect (portfolio) investments is mainly driven by arbitrage activities, where investors opt for portfolio investment when the stock market is undervalued.

First, the findings may aid foreign investors in their strategic choice between emerging vs mature markets based on the governance environment, market openness, capital market development and arbitrage opportunities. Second, the findings may be used to aid governments in prioritizing institutional improvement in market openness, stock market development and policies aimed at balancing different investment channels.

The study may enhance the social understanding on the current debate on the winners and losers of globalization. A main complaint from mature economies is that the emerging economies took their jobs away and, therefore, they should adopt protectionism (which implies closing their own markets) in order to preserve jobs. The study shows that such a reaction may not be in the best interests of the mature economies since they will be able to attract more foreign investment (which implies creating or at least keeping more jobs) if they make their markets more open.

Existing studies on foreign investment have primarily focused on direct investment. The study examines both the direct and indirect investments and the way in which they affect the foreign investment markets in emerging and mature economies. From the institutional perspective, the authors show how the governance environment and market factors affect foreign investors’ strategic choice between direct and indirect investment, contingent upon the stage of a country’s economic and institutional development.

Extending on the resource-seeking foreign direct investment (FDI) hypothesis, this paper aims to uncover the potential relationship between financial and non-financial channels and inward FDI before and after the global financial crisis.

The sample includes 561 year-country observations on 33 developed and developing countries during 2001 and 2017. This study investigates several determinants such as inflation, gross domestic product growth, exchange rate, trade openness, financial openness, Sharpe ratio and country market capitalization, using ordinary least squares, fixed effects and system generalized method of moments.

The results indicate a negative relationship between inflation and financial openness with FDI inflow while market capitalization and exchange rate were positively connected to FDI inflow. All three financial channels of FDI inflow: financial market size, financial openness and Sharpe ratio significantly influenced FDI inflow. Moreover, inflation, financial openness and Sharpe ratio imply a meaningful impact on the FDI inflow of developed and developing countries, with a relatively stronger influence during the post-crisis periods. Asymmetric impact tests also revealed similar results.

These findings offer an impression that financial market development channels may significantly boost FDIs in developing and, as well as developed countries. With special reference to the developing countries, a disciplined financial market and financial openness may help attract more FDIs.

Impact of the financial crisis on FDI inflows while observing the impact of the financing channels in developing and developed countries is rare in the academic domain. This study forwards that a structured and open financial market may help in recovering from the financial crisis.

With emerging markets representing great growth opportunities and serving as indispensable components in the global supply chain, it is unclear how well modern supply chain management theories developed in advanced markets apply to emerging markets. This study integrates the institution-based view with supply chain management literature to examine how integration capabilities can be leveraged to achieve supply chain agility in emerging markets and how the efficacy of integration capabilities is shaped by internal and external institutional contexts.

This study examines how firms in emerging markets can leverage their platform integration and knowledge integration capabilities with channel distributors to improve the supply chain agility and how such relationships are shaped by both the internal (proxy by ownership structure) and external (proxy by regional openness) institutional contexts in which firms operate. Survey and archival data collected from 207 firms operating in China, one of the largest emerging markets, were used to test the proposed research model.

The results reveal that platform integration and knowledge integration are two driving forces for supply chain agility in the emerging markets. Moreover, the results indicate that state-owned firms are able to achieve higher supply chain agility from their investments in knowledge integration with channel distributors than non-state-owned firms. While firms in regions with a high level of openness enjoy higher supply chain agility from knowledge integration, firms in regions with a low level of openness can catch up by investing in platform integration with their channel distributors.

The authors extend the extant study on supply chain integration (SCI) research to examine how operational and strategic integration with channel distributors can help the focal firm achieve supply chain agility in emerging markets. The study results also enrich the existing studies in emerging markets by revealing the importance of the institutional context in which firms operate on B2B channel management.

The purpose of this paper is to model the volatility of treasury bill (T-bill) rates in five Sub-Saharan capital markets to investigate whether or not differences in capital mobility affect volatility.

Primary data was collected from weekly T-bill auctions in five Sub-Saharan countries and was analysed using a range of Generalised Autoregressive Conditional Heteroscedasticity (GARCH) models in order to determine the volatility characteristics of each of these instruments. Differences in the institutional arrangements for each market are used to interpret the results of the econometric analysis.

Evidence is presented that indicates that the size and financial liberalisation of capital markets affect volatility. While the markets with the greatest exposure to international investors exhibit greater volatility in the long-run, the presence of non-residents in the market appears to contribute to more efficient pricing of these instruments.

The limited sample restricts the ability to generalise these findings, however, the finding that differences exist in the volatility of these markets even though they are geographically similar indicates the value of this methodological approach.

The finding that greater capital mobility may result in increased volatility and greater efficiency has significant policy implications for governments and market regulators who have to weigh the costs and benefits of financial liberalisation.

The paper employs a unique data set to model the volatility characteristics of the selected T-bills to improve the understanding of the behaviour of these important instruments in Sub-Saharan frontier markets. More specifically the study provides a novel empirical approach to addressing the question of whether capital mobility is linked to increased volatility. The finding that capital mobility is linked to greater market efficiency offers a fresh insight to this debate.

This paper investigates the main drivers of foreign direct investment (FDI) inflows for a balanced panel of 11 Middle East and North Africa (MENA) economies over the 1995–2017 annual period. The author postulates that the impacts of the main pull (growth) and push (global financial conditions, GFC) factors may not be invariant to endogenously estimated thresholds for structural domestic conditions (SDCs) including trade and capital account openness, financial development, human capital (HC) and natural resource endowments.

The author investigates whether the main SDC provide endogenous thresholds for the impacts of basic pull and push factors on FDI inflows for the MENA sample by employing panel fixed effects threshold procedure of Hansen (1999). As a robustness check, the author also present the results of the dynamic panel data two-step system generalized method of moments (GMM) estimation, which explicitly consider the potential endogeneity of SDC along with main pull factor for the evolution of FDI inflows.

Growth, GFC and SDC are important drivers of FDI inflows. The impacts of SDC tend to be higher in countries with higher financial depth, openness to international trade and finance and lower natural resource and HC endowments. The sensitivities of FDI inflows to GFC are substantially higher in the countries which are more open to international trade and capital flows and higher levels of financial depth. FDI inflows are found to be pro-cyclical and this pro-cyclicality tends to be much higher for the episodes exceeding the SDC thresholds.

Improving SDC including higher openness to international trade and finance and financial development may be effective in encouraging FDI inflows. The findings support an argument that, better SDC are crucially important not only for attracting FDI but also achieving the growth benefits of FDI inflows. Therefore, improving SDC appears to be an important growth-oriented policy agenda for emerging market and developing economies (EMDEs) including MENA.

The impacts of the main push and pull factors on FDI (and capital) inflows may be nonlinear. The literature often tackles the nonlinearity issue either by some interaction specifications or imposing exogenous thresholds. The literature, however, is yet to comprehensively investigate whether the main SDC provide endogenous thresholds for the impacts of basic pull and push factors. The author aims to contribute to the literature by estimating endogenous SDC threshold levels for the impacts of the main determinants of FDI flows for MENA.

The purpose of this paper is to study synchronization in stock index cycles across 82 countries and the linkage between macroeconomic and financial integration and stock market synchronization.

The author document the synchronization structure of the world equity index cycles and its evolution over time. The author examine the explanatory power of various economic and financial variables on cycle comovements.

Trade openness, capital openness, and an EU membership contribute to higher stock index cycle synchronization. Additionally, the macroeconomic and financial variables have asymmetric impacts on countries of different development levels.

The author is the first to thoroughly chronicle the turning points, i.e., bear and bull regimes, of world equity indexes and empirically examine determinants of their cyclical comovement across nations.

Artificial intelligence (AI) has sparked interest in various areas, including marketing. However, this exhilaration is being tempered by growing concerns about the moral and legal implications of using AI in marketing. Although previous research has revealed various ethical and legal issues, such as algorithmic discrimination and data privacy, there are no definitive answers. This paper aims to fill this gap by investigating AI’s ethical and legal concerns in marketing and suggesting feasible solutions.

The paper synthesises information from academic articles, industry reports, case studies and legal documents through a thematic literature review. A qualitative analysis approach categorises and interprets ethical and legal challenges and proposes potential solutions.

The findings of this paper raise concerns about ethical and legal challenges related to AI in the marketing area. Ethical concerns related to discrimination, bias, manipulation, job displacement, absence of social interaction, cybersecurity, unintended consequences, environmental impact, privacy and legal issues such as consumer security, responsibility, liability, brand protection, competition law, agreements, data protection, consumer protection and intellectual property rights are discussed in the paper, and their potential solutions are discussed.

Notwithstanding the interesting insights gathered from this investigation of the ethical and legal consequences of AI in marketing, it is important to recognise the limits of this research. Initially, the focus of this study is confined to a review of the most important ethical and legal issues pertaining to AI in marketing. Additional possible repercussions, such as those associated with intellectual property, contracts and licencing, should be investigated more deeply in future studies. Despite the fact that this study gives various answers and best practices for tackling the stated ethical and legal concerns, the viability and efficacy of these solutions may differ depending on the context and industry. Thus, more research and case studies are required to evaluate the applicability and efficacy of these solutions in other circumstances. This research is mostly based on a literature review and may not represent the experiences or opinions of all stakeholders engaged in AI-powered marketing. Further study might involve interviews or surveys with marketing professionals, customers and other key stakeholders to offer a full knowledge of the practical difficulties and solutions. Because of the rapid speed of technical progress, AI’s ethical and regulatory ramifications in marketing are continually increasing. Consequently, this work should be a springboard for more research and continuing conversations on this subject.

This study’s findings have several practical implications for marketing professionals. Emphasising openness and explainability: Marketing professionals should prioritise transparency in their use of AI, ensuring that customers are fully informed about data collection and utilisation for targeted advertising. By promoting openness and explainability, marketers can foster customer trust and avoid the negative consequences of a lack of transparency. Establishing ethical guidelines: Marketing professionals need to develop ethical rules for the creation and implementation of AI-powered marketing strategies. Adhering to ethical principles ensures compliance with legal norms and aligns with the organisation’s values and ideals. Investing in bias detection tools and privacy-enhancing technology: To mitigate risks associated with AI in marketing, marketers should allocate resources to develop and implement bias detection tools and privacy-enhancing technology. These tools can identify and address biases in AI algorithms, safeguard consumer privacy and extract valuable insights from consumer data.

This study’s social implications emphasise the need for a comprehensive approach to address the ethical and legal challenges of AI in marketing. This includes adopting a responsible innovation framework, promoting ethical leadership, using ethical decision-making frameworks and conducting multidisciplinary research. By incorporating these approaches, marketers can navigate the complexities of AI in marketing responsibly, foster an ethical organisational culture, make informed ethical decisions and develop effective solutions. Such practices promote public trust, ensure equitable distribution of benefits and risk, and mitigate potential negative social consequences associated with AI in marketing.

To the best of the authors’ knowledge, this paper is among the first to explore potential solutions comprehensively. This paper provides a nuanced understanding of the challenges by using a multidisciplinary framework and synthesising various sources. It contributes valuable insights for academia and industry.

The purpose of this article is to examine is to the link between stock markets and economic growth in advanced and emerging economies in the Middle East and North Africa (mena) region.

Indices measuring the degree of financial openness and market development are constructed and used to perform various Granger causality tests to identify predictors of current growth rates.

It is found that the link exists only in the group of high income countries but this relationship is rather weak for the low income MENA economies. Privatization alone, although necessary, is not enough to spur economic growth. The establishment of sound institutions and well‐defined regulatory policies are needed to protect investors’ rights and entice them to invest in real and financial assets in the MENA region.

The paper offers insights into financial integration, regulation and competitiveness in MENA countries.