DEPARTMENT.FACULTY

photo
Dr. Mohd Nayyer Rahman
  • DEPARTMENT_STAFF.QUALIFICATION

    Ph.D., M.Com (Accounting & Finance), B.Com(Hons.), Senior Secondary School, Secondary School

  • DEPARTMENT_STAFF.DESIGNATION

    Assistant Professor

  • DEPARTMENT_STAFF.THRUST_AREA

    International Business, International Economics, Applied Econometrics

  • DEPARTMENT_STAFF.ADDRESS

    4/152-A, New Zohra Bagh, Aligarh, Teachers Block B, Department of Commerce, AMU

  • DEPARTMENT_STAFF.MOBILE

    8171337993 , 8171788750

  • DEPARTMENT_STAFF.EMAIL

    nayyer49@gmail.com , mnrahman.co@myamu.ac.in

DEPARTMENT_STAFF.COMPLETE_CV
DEPARTMENT_STAFF.PROFILE

Dr. Mohd Nayyer Rahman is working as an Assistant Professor in the Department of Commerce, AMU. His area of research is International Economics, International Business and Applied Econometrics. He has served as Guest Editor for Special Issue on "COVID 19 and Its Impact on the Economies of the Developing World" in International Journal of Global Environmental Issues (Inderscience: Scopus Indexed) and "FDI [Divestment] Inflows and Outflows in Developing Economies" in Journal of Chinese Economic and Foreign Trade Studies (Emerald: Web of Science, Scopus Indexed). He is also been Associate Editor of Journal of Advances in Management Sciences & Information Systems, Ontario, Canada. He has served as the Guest Editor for Special Issue on "BRICS: The Emerging Block" for Management and Economics Research Journal, USA. He completed his training on Regional Trade Agreements (RTAs) in the times of Pandemic from United Nations-Economic and Social Council of Asia-Pacific (UN-ESCAP), Asia-Pacific Commission, Thailand in 2021. He has represented India as a Young Researcher on BRICS Studies for two consecutive years (2018 & 2019) in BRICS International School hosted by Russian Federation under the grant of Gorbochov Foundation and National Committee on BRICS Research, Moscow. He received the first position in the BRICS Young Research Competition 2020 where his research on "BRICS Trade applying Gravity Model" was directly published in BRICS Journal. His research publications have covered empirical evidence on BRICS studies, causality relationship of macroeconomic variables and Latin American countries, to name a few. He became a BRICS Energy Author in 2020 for BRICS Youth Energy Association, Moscow and his articles are published therein. His Scientific Membership includes UNCTAD Virtual Institute, United Nations and European Economic Association, European Association. Before joining the Department he was ICSSR-Postdoctoral Fellow and served as Assistant Professor, Department of Management, Integral University. His thesis has already been published under the title Impact of FDI Inflows on India's Balance of Payments: An Applied Time Series Econometrics Approach. His interest includes Reading, Public Speaking and Business Consulting. He has played professional Basketball for several clubs and is currently a Mixed Martial Arts amateur.

  1. Measuring buying intention of generation Z on social networking sites: an application of social commerce adoption model

    Purpose – The present study intends to measure buying intention of Generation Z (Gen Z) on social networking sites (SNSs) incorporating perceived risk with the social commerce adoption model (SCAM). Design/methodology/approach – Data were collected via an online questionnaire, and the study used a total of 349 accurate and useable responses. The population of the study includes Indian young consumers coming from the Gen Z cohort. Data were analyzed using SPSS 20 and AMOS 22.0. The proposed hypotheses were statistically tested. Findings – The empirical results show that perceived risk is a significant and strong predictor of perceived usefulness that, in turn, negatively influences buying intention. Among all the constructs of SCAM, perceived usefulness is the most influential and strongest predictor of buying intention. The proposed model explained approximately 34% of the variance in the behavioral intention. Research limitations/implications – Based on the findings of this study, many theoretical and practical implications may be inferred that can be used to make recommendations to social commerce companies and help them understand the buying intention of Gen Z. Originality/value – There are many studies that have examined buying intention and a few have measured it on Gen Z. The present study is novel in itself as it has measured the buying intention of Gen Z using the SCAM in the Indian context. Hence, the present research attempts to comprehend the variables influencing buying intention and analyses the relationship between these factors in the social media setting. Keywords Social commerce adoption model, Buying intention, Social media, Generation Z, Trust, Perceived risk Paper type Research pape

  2. Conceptualizing social media analytics in digital economy: An evidence from bibliometric analysis
    The present study intends to provide a comprehensive overview based on existing literature related to social media analytics and digital economy using bibliometric analysis from Scopus database, particularly from the year 1996–2022. The studies that have discussed social media analytics and digital economy on a global scale using bibliometric analysis are very less in numbers. Therefore, this study determines the trends and maps in the digital economy and social media analytics using VOSviewer. The present study analyses 1539 articles collected from the Scopus database and uses VOSviewer that creates a visual representation of the data. Analyses of co-occurrence of keywords, co-citation, journals, and co-authorship have been employed in the study. The findings of the study reveal the most prominent trends in terms of influence, most prolific journals, articles, authors, topics, keywords, and countries. Content analysis has been employed using the bibliographic coupling of documents to identify the broad themes of the clusters. Further, a conceptual quadrant model has been devised to examine the outcomes of the interrelation between social media analytics and digital economy. This study further reveals that research on digital economy and social media analytics has shifted from the developed world to the developing nations. Now, more and more research is being conducted in the countries like China, Pakistan, Bangladesh, Ukraine and India. Through the density visualization of keywords analysis, it is revealed that keywords like “digitalization”, “artificial intelligence”, “blockchain”, “cryptocurrency”, and “bitcoin” are in trends of research in the subject matter


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  3. Impact of US-China trade war on Asian economies: neural network multilayer perceptron approach

    Purpose – This study aims to find the impact of the trade war between the USA and China on Asian economies. Apart from macroeconomic variables associated with trade, this study explicitly creates a trade war scenario and trade war participant dummies. Using the neural network multilayer perceptron, this study checks for the causal linkages between the predictors and target output for the panel of Asian economies and the USA. Design/methodology/approach – A conceptual model of the after effects of trade war in a quadrant is developed. Variables related to trade and tariffs are included in the study for a panel of 19 Asian economies. The feedforward structure of neural network analysis is used to identify strong and weak predictors of trade war. Findings – The hidden layers of the multilayer perceptron reveal the inconsistency in linkages for the predictors’ services exports, tariff measures, anti-dumping measures, trade war scenario dummy with gross domestic product. The findings suggest that to curtail the impact of the trade war on Asian economies, predictors with neural evidence must be paid due weightage in policy determination and trade agreements. Originality/value – The study applies a novel and little explored AI/ML technique of Neural Network analysis with training of 70% observations. The paper will provide opportunity for other researchers to explore techniques of AI/ML in trade studies. Keywords Feedforward structure, Tariffs, Anti-dumping measures, Countervailing duties, Merchandise exports, Merchandise imports

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  4. Efect of social media marketing on online travel purchase behavior post-COVID-19: mediating role of brand trust and brand loyalty

    The present study intends to unleash the infuence of social media marketing (SMM) on purchase intention (PI), brand trust (BT) and brand loyalty (BL) in the setting of online travel booking websites. It also analyses the mediating efect of BT and BL in the relationship between SMM and PI. This study also examines the importance of trust and loyalty in the suggested model, which adds to the current research in this area. A self-administered questionnaire was employed to collect the data from the users of online travel booking websites, and the study rested upon 397 valid responses. Data were analyzed using partial least squares structural equation modeling (PLS-SEM) through Smart PLS v.3.2.6. The fndings reveal that SMM has a favorable and substantial impact on BT and BL, infuencing COVID19 purchase intention. As per the fndings, BT and BL’s benefcial infuence on the purchase intention of arranging travel on social media was discovered. Moreover, it was also confrmed from the results that BT and BL mediate the relationship between SMM and PI. Therefore, SMM signifcantly impacts online trip booking purchase intentions with increased BT and BL levels. Finally, several theoretical and managerial implications can be delineated from the fndings of this study for industry and academia.

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  5. Foreign Direct Investment and Imports in India: Exploring Institutional Dimensions

    In the knowledge economy, globalisation and its various types are increasingly recognised as the substance of competencies. The major two types of globalisation possessing macroeconomic utility, i.e. FDI and trade, are significantly influenced by country-level factors. Given their differing characteristics, they react to macroeconomic factors differently. In this view, this study looks at how institutional variables affected trade and investment from 30 countries into India from 2002 to 2020, as India plays a major role in the global arena, it attracts a sizable amount of international investment and foreign trade. Four institutional factors are considered in the analysis and the results suggest that improved property rights protection and government integrity in India attracts both FDI and imports. The increased government size and high-quality regulatory environment although positively influence FDI and imports, both have an insignificant effect on FDI while both are significant in case of imports. Alternative estimators are applied to obtain an appropriate synchronisation between variables but the Random effect model came out to have optimum utility to be applied in the current study. The study is controlled for the effects of human capital since it is an important regressor of internationalisation behaviour. Based on the results of granger causality, FDI is taken as a control variable for imports. The distinguishing feature of this study is that a comparative analysis between FDI and trade inflow in India from an institutional perspective has been undertaken which is not present in the extant literature

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  6. Conceptualizing social media analytics in digital economy: An evidence from bibliometric analysis?
    The present study intends to provide a comprehensive overview based on existing literature related to social media analytics and digital economy using bibliometric analysis from Scopus database, particularly from the year 1996–2022. The studies that have discussed social media analytics and digital economy on a global scale using bibliometric analysis are very less in numbers. Therefore, this study determines the trends and maps in the digital economy and social media analytics using VOSviewer. The present study analyses 1539 articles collected from the Scopus database and uses VOSviewer that creates a visual representation of the data. Analyses of co-occurrence of keywords, co-citation, journals, and co-authorship have been employed in the study. The findings of the study reveal the most prominent trends in terms of influence, most prolific journals, articles, authors, topics, keywords, and countries. Content analysis has been employed using the bibliographic coupling of documents to identify the broad themes of the clusters. Further, a conceptual quadrant model has been devised to examine the outcomes of the interrelation between social media analytics and digital economy. This study further reveals that research on digital economy and social media analytics has shifted from the developed world to the developing nations. Now, more and more research is being conducted in the countries like China, Pakistan, Bangladesh, Ukraine and India. Through the density visualization of keywords analysis, it is revealed that keywords like “digitalization”, “artificial intelligence”, “blockchain”, “cryptocurrency”, and “bitcoin” are in trends of research in the subject matter


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  7. The Impact of Belt and Road Initiative on Asian Economies Along the Route

    China’s Belt and Road Initiative is one of the most awaited and grandiose projects of the present Chinese regime. It is projected to accentuate Chinese economic growth and development, and if the claim is taken into account, it will also benefit the Asian region in terms of growth, infrastructure development, and employment. OBOR project along with maritime silk road is known as Belt and Road Initiative (BRI). BRI is an important project for China and defines its economic aspirations and needs (Cai, 2016). BRI was named in 1877 by Richthofen Ferdinand Von. Historically, it was connected to Asia, Europe, and Africa (Wu, 2017)

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  8. Scale development and validation for usage of social networking sites during COVID-19

    This research aims to explore the usage of social networking sites in the midst of the COVID-19 pandemic. To achieve the objective, this study develops and validates a scale to measure the usage of social networking sites. Data was collected via a google form link through social networking sites in India viz. Facebook, Instagram, Twitter, Telegram and WhatsApp. A total of 204 responses were found accurate and useable for the study. The population of the study includes people residing in India. Data was analyzed applying SPSS 20 and AMOS 22.0. To design and validate the scale, both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were used in conjunction with each other. The EFA results indicate a six-factor structure, explaining 73.43% of the cumulative variance, with all the items loading above 0.70. Thus, all the 20 items of six constructs meet this threshold limit. Therefore, this 20-items questionnaire emerges as an effective tool for assessing social networking usage. This study developed and validated the scale of usage of social networking sites to measure the six constructs informativeness, education, entertainment, shopping, socialization and social cause. Social media developers and analysts can use this scale from a technological standpoint to redesign and refine their websites for a better user interface. Since the research is primarily focused on India, extrapolating the results to other countries is difficult.

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  9. Outward FDI: Determinants and Flows in Emerging Economies: Evidence from China

    Outward Foreign Direct Investment (OFDI) is the cross-border capital flow with the objective of the long-term association having at least a ten percent stake in the equity of the host country firm. In the case of new investment, the total equity is OFDI. This research aims to analyze OFDI in the context of China. The lasting interest is considered 10% equity, thereby saying that if the cross-border investment is at least 10% of the equity share capital, the investment would be considered FDI; if below 10%, it is considered to be a Portfolio Investment. We have applied a more emic approach and discussed the determinants of multinational companies (MNCs) from China. Using an exploratory and qualitative approach, case studies of Chinese MNCs are discussed. Secondary data is utilized to obtain a closer insight into the determinants of OFDI from Chinese MNCs. At the end of this paper, suggestions for OFDI policymakers and study limitations are discussed. This research makes recommendations to the Chinese government regarding OFDI in connection with their economic development.

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  10. Impact of FDI and Trade on African Economies: Developing Neural Network Feedforward Structure for a COVID-19 Scenario

    African Economies are a mix of emerging and developing economies, characterised by regional imbalances and socio-economic differences. Foreign Direct Investment and Trade has been important for the growth prospects of African Economies. In this paper, we attempt to study the impact of FDI and Trade in a COVID-19 scenario on the African Economies. We also study the lockdown restrictions in different regions of Africa. Applying Neural Network Analysis for the sample of 36 African Economies we identify the significant economic variables for GDP. The analysis based on a feedforward structure suggests that Merchandize Exports (MEXP) and Foreign Direct Investment Stock (FDIS) have very strong causal linkages with the GDP for African Economies sample. On the other hand, Merchandise Imports (MIMP), Services Exports (SEMP), Services Imports (SIMP), and Foreign Direct Investment Inflows (FDII) have a strong and significant relationship with GDP for the African Economies. Tariff Measures (TRFF), Anti-Dumping measures (ADP) and Foreign Direct Investment Outflows (FDIO) have no

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  11. Economic freedom of the world: wholly owned subsidiaries and joint ventures as binary response

    Drawing on the institutional perspective, the economic freedom index along with its sub-components are analysed and their impact on the choice between wholly owned subsidiary and joint venture investments from India is empirically tested. The results of the binary logistic model reveal that economic freedom and all its sub-components are decisive factors in explaining the choice of entry modes. More specifically, rule of law, government size, and market openness positively determine the probability of wholly owned subsidiary over joint venture while regulatory efficiency and overall economic freedom index are negative regressors while controlling for market size and market stability. The distinguishing feature of the study is that foreign market entry choice from an economic freedom perspective is not present in the extant literature, so this study enriches the literature in this regard. Further, besides the expected probability of choosing a particular entry mode, the marginal change across the variables is also analysed.

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  12. Demystifying the efect of social media eWOM on revisit intention post-COVID-19: an extension of theory of planned behavior

    The present study intends to unwrap the infuence of social media electronic word of mouth (eWOM) on revisit intention post-COVID-19 applying the theory of planned behavior (TPB). Two additional constructs, viz., eWOM and destination image, have been undertaken in the present study to enhance the robustness of the TPB model. An online questionnaire was employed to collect data, and the research relied upon 301 correct and useable responses. The survey’s population includes potential tourists who intend to revisit India post-COVID-19. SPSS 20 and AMOS 22.0 were used to analyze the data. The posited model was validated using confrmatory factor analysis (CFA) and structural equation modeling (SEM). The fndings indicate that all of the constructs under study, namely "electronic word of mouth (eWOM), destination image (DI), attitude (ATT), subjective norm (SN), and perceived behavioral control (PBC)," signifcantly and positively infuence "tourists’ revisit intention (RI)" post-COVID-19. These constructs explained approximately 71% (R2=0.709) of the variance in the revisit intention post-COVID-19. A number of theoretical and practical implications can be delineated to make recommendations to the ministry of tourism, tour and travel agencies, central and state government-owned tourism departments, marketers and promoters of travel destinations. The distinctiveness of the present study lies in the fact that it measures the infuence of eWOM on revisit intention post-COVID-19 in the Indian context by incorporating destination image with the TPB model

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  13. Do Trade and Poverty Cause Each Other? Evidence from BRICS


    Any two variables that are observable have one or the other form of relationship. This is particularly a statistical relationship. But for a statistical relationship to be cause and effect, a theoretical relationship is important. The theoretical relationship can be quantified to search for the evidence of causality. The possible outcomes can be no causality, unidirectional causality, or bidirectional causality. The present study aims at searching for evidence from BRICS countries regarding trade causing poverty or vice versa. Applied econometrics approach is used in the study. Panel econometric techniques have been employed to identify presence/absence of causality between the variables. Apart from this, the study also uses equality of means to identify whether trade and poverty proxies are symmetrical or asymmetrical. The study finds no causal relationship between trade and poverty for BRICS countries except that poverty headcount at $3.2 per day causes trade balance. With respect to the impact on the GINI index, lowest 10 percent income share and poverty headcount ratios are integral to reduce the inequality in the BRICS countries.

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  14. Outward FDI: Theories And Determinants
    Outward Foreign Direct Investment (OFDI) as overseas investment leads to long-term repatriation of the profits from host to home country. The theoretical framework of OFDI and the determinants of the same are important elements in the international economic environment. The present study aims to build a critical discussion on Outward FDI theories and the determinants of OFDI. Researchers and policymakers in the area of international investment will be benefitted from the theoretical research


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  15. Comprehensive Marketing Intensity Indicator for Higher Educational Institutions

    (2021). Comprehensive Marketing Intensity Indicator for Higher Educational Institutions., in Mehdi Khosrow-Pour (ed.) Handbook of Research on Modern Educational Technologies, Applications, and Management. (pp.588-598). Doi: 10.4018/978-1-7998-3476-2.ch036 (IGI Global Publishers, USA).


  16. Impact of FDI and Trade on African Economies: Developing Neural Network Feedforward Structure for a COVID-19 Scenario

    (2022). Impact of FDI and Trade on African Economies: Developing Neural Network Feedforward Structure for a COVID-19 Scenario. Book Chapter in “COVID-19 in the African Continent: Sustainable Development and Socioeconomic Shocks”, p 61-79. DOI: doi:10.1108/978-1-80117-686-620221007 (Emerald).


  17. Capital Account Liberalization and Capital Movement in China

    (2021). Capital Account Liberalization and Capital Movement in China. Journal of Comparative Asian Development (JCAD), 18(1), 63-78. DOI:
    10.4018/JCAD.2021010103 (IGI Global: Scopus Indexed).


  18. Do Trade and Poverty Cause Each Other? Evidence from BRICS

    (2022). Do Trade and Poverty Cause Each Other? Evidence from BRICS. Global Journal of Emerging Market Economies, 14(1), 9-31. DOI: https://doi.org/10.1177%2F09749101211067076
    (Sage: Scopus Indexed).


  19. BRIC(S) as an emerging block?
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  20. Role of WTO in promoting merchandise trade of BRICS.
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  21. MNCs and their role and contribution in Latin American countries
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  22. FDI and the world trade in BIMSTEC region: Panel Causality analysis
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  23. Macroeconomic Variables of India and Finite Sample Properties of OLS under Classical Assumptions.
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  24. The Economics and Econometrics of Global Innovation Index.
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  25. Public Policies for Providing Cloud Computing Services to SMEs of Latin America.
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  26. Impact of Belt and Road Initiative on Asian Economies
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  27. One Belt One Road: will it increase the gravity between China and Eurasia.
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  1. Determinants of global value chain participation in regional trade agreements: the case of Regional Comprehensive Economic Partnership (RCEP)

    Globally, the share of Global Value Chain (GVC) trade currently accounts for around 70% of total trade. In Regional Comprehensive Economic Partnership (RCEP) region, around 46% of the total trade involves GVC trade. Besides, RCEP is the frst agreement between China, Japan and South Korea. Given the important positioning of RCEP member countries like Japan, China, South Korea and Vietnam in factory Asia and prominent GVC assembly hubs, this paper examines the determinants of GVC participation in RCEP bloc by employing fxed efects regression method over a period of 1995–2018. The paper also explores the impact of the level of development of the member countries on GVC participation. Latest GVC measures provided by OECD Tiva, 2021 edition are used. The degree of openness to trade and economic freedom positively impacts backward participation rate whereas FDI infows exerts negative infuence on forward participation rate of RCEP countries. However, the developing countries within RCEP appears to have beneftted from FDI infows, as it signifcantly afects their forward participation rate in positive direction in relation to their developed counterparts. Similarly, the positive impact of trade openness on backward participation is more pronounced in RCEP member countries with a developing country status relative to developed countries

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  2. Guest editorial: FDI divestment inflows and outflows in developing economies

    We are delighted that after many concerted efforts, the special issue assigned to us on “FDI [Divestment] Inflows and Outflows in Developing Economies” has seen the light of the day. It has been an academic journey to witness many submissions on the theme from across the globe. The special issue on FDI divestment demonstrates essential takeaways for the developing economies. FDI divestment will remain a tool of de-internationalisation and can have negative consequences for the host country, such as reduced investment, employment and technology transfer. Therefore, understanding FDI divestment inflows and outflows in developing economies is a strategic issue for planners and policymakers to promote sustainable economic development. Several factors, including changes in the global economic environment, strategic business decisions by foreign investors and the availability of investment opportunities in other countries, can cause FDI divestment inflows and outflows. It is a common phenomenon in developing economies and can have far reaching implications for these economies. Developing economies often need more institutional frameworks to encourage investors to remain in the country. Inconsistent institutional frameworks can lead to a lack of confidence in the local economy, leading investors to divest their investments.

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  3. Guest editorial: FDI divestment inflows and outflows in developing economies

    We are delighted that after many concerted efforts, the special issue assigned to us on “FDI [Divestment] Inflows and Outflows in Developing Economies” has seen the light of the day. It has been an academic journey to witness many submissions on the theme from across the globe. The special issue on FDI divestment demonstrates essential takeaways for the developing economies. FDI divestment will remain a tool of de-internationalisation and can have negative consequences for the host country, such as reduced investment, employment and technology transfer. Therefore, understanding FDI divestment inflows and outflows in developing economies is a strategic issue for planners and policymakers to promote sustainable economic development. Several factors, including changes in the global economic environment, strategic business decisions by foreign investors and the availability of investment opportunities in other countries, can cause FDI divestment inflows and outflows. 

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