GDP Growth Research Articles

Institutional entrepreneurs' roles in the international market expansions: evidence from the ride-hailing platforms

Institutional entrepreneurs' roles in the international market expansions: evidence from the ride-hailing platforms

Why does mobile payment promote purchases? Revisiting the pain of paying, and understanding the implicit pleasure via selective attention.

The past years have witnessed a phenomenal growth of the mobile payment market, but how mobile payment affects purchase behavior receives less attention from academics. Recent studies suggested that lower pain of paying may not fully clarify the relationship between mobile payment and increased purchases (i.e., mobile payment effect). The current research first introduced price level in Study 1 and demonstrated that the pain of paying served as an underlying mechanism only in the high-price condition rather than the low-price condition. As such, Study 2 was conducted in a low-price context to address the uncovered mechanisms. We propose a new concept of "pleasure of payment" that is defined as an implicit and consumption-related hedonic response based on the cue theory of consumption. By tracking spontaneous attention to positive attributes (i.e., benefits) of products, Study 2 demonstrated this implicit pleasure as a psychological mechanism for the mobile payment effect when the pain of paying was not at play. These findings have important implications for mobile payment in research and practice by identifying price level as a boundary condition for the role of pain of paying and understanding the positive downstream consequences of mobile payment usage on consumer psychology.

Foreign market expansion of ecosystems: a process model

ABSTRACT Ecosystems of actors that need to interact to create value for end users are becoming an integral part of firms’ strategic realities as they reach new markets. However, the phenomenon of ecosystem internationalisation has not been explored in comparison to its practical prevalence. We conceptualise this phenomenon as agent-led structuration on new markets. We build on the structural ecosystem literature and literature on internationalisation challenges to create our recursive process model of ecosystem creation on foreign markets. Creating ecosystems on foreign markets necessitates new ecosystem structures that are adjusted to value propositions by orchestrators through interaction with foreign market actors. The model explains how ecosystem orchestrators drive the international expansion of ecosystems through blueprinting and aligning mechanisms and how these mechanisms help manage liabilities of foreignness. The model accounts for the agency of involved actors, and with the help of the bottleneck concept bridges international business and ecosystem literatures.

Digital Marketing Optimization: Empowering Market Growth for MSMEs in Kahuku Village, East Likupang

Digital Marketing Optimization: Empowering Market Growth for MSMEs in Kahuku Village, East Likupang

What is beyond 50G: future standards of optical access networks [Invited

In the past two decades, optical access networks have been widely deployed by operators around the world. The global optical access network market reaches about 1 billion users with a revenue of over 10 billion US dollars. As strategic tools to facilitate mass production, the optical access network standards play a crucial role in driving the product deployment and market growth. This paper overviews the latest effort in international standards bodies on the next generation optical access networks. It discusses projects in this area within the International Telecommunication Union’s Telecommunication Standardization Section (ITU-T), the IEEE, and the European Telecommunications Standards Institute (ETSI). Promising technologies are investigated with the goal of providing rates beyond 50 Gbps. Challenges are highlighted to satisfy the requirements on balancing access rates, loss budgets, and cost. Candidate systems are analyzed in three categories: point-to-multipoint (PtMP), point-to-point (PtP), and new applications. These standardization endeavors will jointly guarantee optical access networks as the premiere solution of wireline broadband access.

Perceiving Innovation: Unveiling the Impact on Market Performance

The new challenge confronting leaders is investing in improving customer satisfaction or perceived innovativeness. The challenge also reflects the focus of leadership: to make operations more efficient and effective or invest in tomorrow's solutions? Intuitively, both are linked to the financial impact of the firm. In this article, the author explores the mechanisms “behind the scenes” driving perceived quality, and customer satisfaction on one side, and perceived innovativeness and relative attractiveness on the other side. Both routes are linked to customer loyalty, customer lifetime value, customer equity, and firm value. The findings underscore the importance of customer-centric innovation for market performance, suggesting that innovations must resonate with customer needs and expectations to foster market adoption and growth. The article advocates for the extension of this research into global contexts and digital transformation, highlighting the potential for these insights to inform strategi decision-making in an increasingly digitalized business environment. Bridging academic theory with practical application, the article offers a nuanced understanding of how innovation perceptions influence market outcomes. It suggests future research directions, including exploring strategies to enhance customer perception of innovation and leveraging these perceptions for competitive advantage.

Analyzing the dynamics of monetary policy and economic growth in Ethiopia: an autoregressive distributed lag (ARDL) approach

Numerous studies conducted by various scholars have aimed to ascertain the impact of monetary policy on economic growth. However, these empirical investigations have not reached a unanimous consensus. Therefore, this study analyzes the effect of monetary policy. To address this objective, this study employed ARDL and error correction model (ECM) based on annual data from 1993 to 2022. Granger causality test was also employed to check the direction of causal effects of one variable on the other variable. All required pre and post estimation tests were performed and verified that the model was statistically viable. The study revealed that, in the short run, deposit interest rate, reserve required amount, and open market operation have positive and statistically significant effects on real GDP growth of Ethiopia; however, money supply has negative and statistically significant effects on real GDP growth of Ethiopia. In the long run, money supply has positive and statistically significant effects on real GDP growth of Ethiopia; however, deposit interest rate and reserve required have negative and statistically significant effects on real GDP growth of Ethiopia. To sum up, in the short run, contractionary monetary policy was promising, and in the long run, expansionary monetary policy was favorable for economic growth. The Granger causality test result shows that there is bidirectional causality between monetary policy and economic growth; except there was a unidirectional relationship between deposit interest rate and economic growth. Ultimately, this research suggests the following policy recommendation: for short-term economic enhancement, it is advisable for the government to opt for a contractionary monetary policy rather than an expansionary one. On the other hand, for long-term economic improvement, an expansionary monetary policy is more favorable than a contractionary one.

Renewable energy adoption and CO2 emissions in G7 economies: In-depth analysis of economic prosperity and trade relations

This study investigates the relationships between economic, environmental, and trade factors within the G7 economies from 1990 to 2022, focusing on their impacts on carbon dioxide (CO2) emissions. Analyzing data from G7 economies such as Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States. The study employs multiple regression (MLR) models to examine the influence of economic and environmental factors on CO2 emissions. Additionally, factor loading analysis and structural equation modeling (SEM) is utilized to validate construct reliability and visualize complex relationships. The findings highlight positive correlations between GDP growth and employment, alongside negative correlations with income inequality. In addition, environmental challenges are evident through negative correlations with industrial and energy-related CO2 emissions. The practical implications highlight the importance for policymakers to prioritize strategies promoting economic growth, addressing income inequality, and fostering sustainable trade relationships within the G7 economies to ensure inclusive and sustainable development. This study contributes to the literature by offering comprehensive insights into the intricate dynamics between economic, environmental, and trade factors and their impacts on CO2 emissions.

Continuum Growth Mechanics: Reconciling Two Common Frameworks.

The objective of this study was to investigate whether the two most common growth mechanics modeling frameworks, the constrained-mixture growth model and the kinematic growth model, could be reconciled mathematically. The purpose of this effort was to provide practical guidelines for potential users of these modeling frameworks. Results showed that the kinematic growth model is mathematically consistent with a special form of the constrained-mixture growth model, where only one generation of a growing solid exists at any given time, overturning its entire solid mass at each instant of growth in order to adopt the reference configuration dictated by the growth deformation. The thermodynamics of the kinematic growth model, along with the specialized constrained-mixture growth model, requires a cellular supply of chemical energy to allow deposition of solid mass under a stressed state. A back-of-the-envelope calculation shows that the amount of chemical energy required to sustain biological growth under these models is negligibly small, when compared to the amount of energy normally consumed daily by the human body. In conclusion, this study successfully reconciled the two most popular growth theories for biological growth and explained the special circumstances under which the constrained-mixture growth model reduces to the kinematic growth model.

Critical Sensing Modalities for Hydrogen: Technical Needs and Status of the Field to Support a Changing Energy Landscape.

Decarbonization of the energy system is a key aspect of the energy transition. Energy storage in the form of chemical bonds has long been viewed as an optimal scheme for energy conversion. With advances in systems engineering, hydrogen has the potential to become a low cost, low emission, energy carrier. However, hydrogen is difficult to contain, it exhibits a low flammability limit (>40000 ppm or 4%), low ignition energy (0.02 mJ), and it is a short-lived climate forcer. Beyond commercially available sensors to ensure safety through spot checks in enclosed environments, new sensors are necessary to support the development of low emission infrastructure for production, transmission, storage, and end use. Efficient scalable broad area hydrogen monitoring motivates lowering the detection limit below that (10 ppm) of best in class commercial technologies. In this perspective, we evaluate recent advances in hydrogen gas sensing to highlight technologies that may find broad utility in the hydrogen sector. It is clear in the near term that a sensor technology suite is required to meet the variable constraints (e.g., power, size/weight, connectivity, cost) that characterize the breadth of the application space, ranging from industrial complexes to remote pipelines. This perspective is not intended to be another standard hydrogen sensor review, but rather provide a critical evaluation of technologies with detection limits preferably below 1 ppm and low power requirements. Given projections for rapid market growth, promising techniques will also be amenable to rapid development in technical readiness for commercial deployment. As such, methods that do not meet these requirements will not be considered in depth.

InViTMixup: plant disease classification using convolutional vision transformer with Mixup augmentation

ABSTRACT Computer vision-based research is carried out to enhance the crop yield with automation solutions. In Tamil Nādu, tomato cultivation is carried out in many districts, including Coimbatore, and its contribution to the Indian economy, i.e. GDP growth, is significant. This paper proposes InViT Mixup, a novel approach toward image classification of diseased tomato leaves. The effectiveness of convolutional neural network (CNN) in obtaining spatial information and the attention mechanism of vision transformers, along with Mixup data augmentation, are combined, and the model’s generalization in predicting the diseased tomato based on leaf symptoms is evaluated. The proposed convolutional transformer model improvised the classification results of tomato disease in terms of accuracy and training speed compared to pure CNN or transformer-based models. In the proposed work, 10 tomato leaf disease classes from the PlantVillage dataset are used. Top-1 accuracy of 93.5% and Top-5 accuracy of 99.7% are achieved.

Economic Growth and Female Participation in the Labour Market: Gender Disaggregated Data

The study aims to examine the impact of economic growth on female labour market participation in Kenya with data spanning between 1991 and 2022. Labour-force data disaggregated by gender are important to monitor the dynamic of gender inequalities in the labour market. The secondary data used to construct the time series was obtained from the World Bank and the International Labour Organization sources. The research was informed by the Feminisation U hypothesis, which describes the tendency of female labour force participation to first decline and then rise in the process of economic growth. The study used a fully modified ordinary least square (FMOLS) and Granger causality test to analyse the long-run effect of economic growth on women's participation in the labour market. The study results indicate that economic growth positively and significantly contributes to women’s participation in the labour market in the long run. Furthermore, the results of the control variables suggest that education has a beneficial effect on women's workforce, while women’s access to the workforce is hampered by male labour market participation, fertility rate, female self-employment and rate of urbanization. The study suggests to policymakers that the strategy to success is to facilitate education, vocational training, and social change that enable women to play the same role as men in the labour market. Finally, women must be in productive sectors and government should remove barriers to ownership of factors of production to encourage them to participate in economic activities and the labour market.

Consumer Behavior (The Nigerian Breweries Plc)

Over the years, corporate organizations have considered different advertising strategies to address the growing need for market expansion and consumer satisfaction. This is evident by the various budgets allocated to marketing activities by companies and quality of the marketing team put together to develop adequate advertising strategies that would use the media platforms such as radio, TV, newspaper, internet and print to influence consumer behavior purchasing decisions. The research studied different advertising strategies used by advertising experts and integrated the media platforms that could be effective in carrying out the goal of the business. This influence is manifested in various ways such as awareness creation, arousal of interest, purchase and post–purchase decisions of consumers. The importance of this research is to elucidate the understanding of an organization marketing team on the identification and application of various advertising strategies in sync with media platforms. The integration of approach

Atomistic molecular dynamics simulation and COSMO-SAC approach for enhanced 1,3-propanediol extraction with imidazolium-based ionic liquids.

1,3-Propanediol (1,3-PDO) is a key chemical in various industries, including pharmaceuticals and material sciences, and is projected to see significant market growth. However, the current challenges in its downstream processing, particularly in terms of cost and efficiency, highlight the need for innovative solutions. Our study delves into using ionic liquids (ILs) as a potential alternative, aiming to address these critical separation challenges more sustainably and efficiently. In this study, we utilized molecular dynamics (MD) simulations and the COSMO-SAC to examine 1,3-propanediol (1,3-PDO) extraction using four imidazolium-based ionic liquids with 1-butyl-3-methylimidazolium [Bmim] cation and with different anions bis(pentafluoroethanesulfonyl)imide [NPF2]-, bis(trifluoromethylsulfonyl)imide [NTF2]-, thiocyanate [SCN]-, and trifluoromethanesulfonate [TFO]-. Molecular dynamics simulations, incorporating analysis of radial distribution functions (RDF) and spatial distribution functions (SDF), revealed that [Bmim][SCN] and [Bmim][TFO] exhibit enhanced interactions with 1,3-PDO. Notably, [Bmim][SCN] formed the most hydrogen bonds, averaging 1.639 per molecule, due to its coordinating [SCN]- anion. This was in contrast to the fewer hydrogen bonds formed by non-coordinating anions in [Bmim][NPF2] and [Bmim][NTF2]. In ternary systems, [Bmim][SCN] and [Bmim][TFO] demonstrated superior selectivity for 1,3-PDO extraction compared to the other ionic liquids, with selectivity values around 29. These findings, supported by COSMO-SAC predictive modeling, highlight the potential of [Bmim][SCN] as a promising candidate for 1,3-PDO extraction, emphasizing the importance of anion selection in optimizing ionic liquid properties for this application. In our study, we employed MD simulations, incorporating the OPLS-AA force field, and COSMO-SAC to investigate the extraction of 1,3-PDO using imidazolium-based ionic liquids: [Bmim][NTF2], [Bmim][NPF2], [Bmim][SCN], and [Bmim][TFO]. The MD simulations were conducted using LAMMPS software, focusing on elucidating the RDF, SDF, and hydrogen bonding. Analysis of the distribution coefficient (β) and selectivity (S) for the ternary mixture was also conducted. These aspects of the simulation were analyzed using TRAVIS and VMD software. Additionally, the COSMO-SAC model was employed to determine the activity coefficients of 1,3-PDO in the ionic liquids, with molecular optimization conducted using Gaussian16 and sigma profile calculations performed using COSMO-SAC.

The lens of the quantity theory of money to disentangle the perceived relationship between money growth and inflation: a PSVAR approach

AbstractThis paper contributes to the debate on the re-appraisal of monetization mechanism as a possible tool for dealing with macroeconomic imbalances due to close economic shocks (e.g. the Covid pandemic, the Russia-Ukraine conflict and the escalation in Israel-Hamas crisis). We analyze and empirically discuss the well-known Quantity Theory of Money (QTM), by applying the SVAR methodology to a heterogeneous panel including several Countries (Australia, China, India, Japan, United Kingdom and the United States) plus the block of Euro Zone (EZ) over the period 1992–2022. We investigate the dynamics and the impacts of the variables included in the theoretical model (inflation, GDP growth, money growth and the change in the velocity of money) through the analysis of the macro economic datasets retrieved from the OECD and Trading Economics databases. We find that money growth does not exert the decisive spillover effect on the path of inflation (i.e. common shock) throughout our sample. Moreover, our results indicate that the idiosyncratic component does not show a predominant and determining role of monetary growth in inflationary dynamics.

How does technological progress affect low carbon economic growth? Evidence from regional heterogeneity in China.

The rapid economic development leads to excessive consumption of fossil energy, resulting in a large number of carbon emissions, which makes the sustainable development of China's economy and society face great challenges. Under the background of global warming and environmental deterioration, developing low-carbon economy has become an inevitable choice for China to change its development model and improve its international competitiveness. Technological progress is the first driving force to promote economic growth. However, the influence degree and mechanism of technological progress on the development of low-carbon economy are still unclear. Based on this, the paper proposes the concept of low-carbon GDP, which is used to measure the low-carbon economic development of 30 Chinese provinces. Then, the panel fixed effect model is used to study the effect degree and mechanism of technological progress on low-carbon GDP and the moderating effect of other factors on the relationship between them. The results show that, first, economically developed provinces and regions have higher per capita low-carbon GDP and low-carbon GDP index, but the speed and quality of low-carbon economic development are not necessarily higher. Second, technological progress can promote the growth of low-carbon GDP and make greater contributions to resources-poor regions. Third, improving local education can make technological progress more effective in low-carbon economic development. China needs to upgrade technological development by developing new and high-tech technologies, promoting new urbanization and strengthening education in order to promote low-carbon economic development.

Trends and Triggers: Analyzing the Co-Movement of Cryptocurrency and NFT Prices

This paper aims to explore the complex interrelationships between the prices of cryptocurrency, specifically Ethereum (ETH), and five top Non-Fungible Token (NFT) collections: Bored Ape Yacht Club, Mutant Ape Yacht Club, Azuki, Moonbirds, and Otherdeed. Motivated by the intertwining dynamics of these digital assets and the unexplored nature of their interdependencies, this study employs a Vector Autoregressive (VAR) model and utilizes Granger Causality to dissect the multifaceted interactions. The analysis period ranges from April 2021 to January 2023, a critical window of exponential growth and fluctuation in the digital asset market. The results demonstrate a statistically significant impact of ETH prices on NFT collection prices, but not vice versa, revealing the strong dependence of the NFT market on cryptocurrency volatility. Specifically, the research finds that changes in ETHs value are predictive of shifts in NFT prices, whereas NFT price fluctuations lack predictive power for ETH prices. In conclusion, this research represents an advancement in understanding price dynamics in the rapidly evolving digital economy. By innovatively analyzing the co-movement of cryptocurrencies and NFTs, it not only enriches existing knowledge but also paves the way for further exploration, offering practical insights for diverse stakeholders navigating this exciting, ever-changing field.

Contemporary Human Resource Management Practices and Diversity in Changing Business Environments

Human resource management (HRM) serves as the cornerstone for organizations to achieve strategic objectives, address staff welfare, and enhance customer satisfaction. This study delves into the pivotal role of HRM in shaping organizational activities, particularly in the transition from personnel management to strategic HRM. It underscores the importance of aligning HRM strategies with overall organizational goals and examines various HRM practices and techniques. This study adopts a qualitative research design aimed at exploring the pivotal role of human resource management (HRM). The findings revealed that by exploring contemporary challenges and employing these techniques, coupled with the expertise of HR practitioners, organizations can effectively mitigate challenges and leverage opportunities. Moreover, a well-coordinated HRM approach, involving all levels of the organization and stakeholders, facilitates market expansion, strengthens brand reputation, and enhances talent retention and attraction. This study adopts a qualitative research design aimed at exploring the pivotal role of human resource management (HRM).

The 2015 Refugee Crisis and Institutional Trust in European Countries

AbstractExogenous events have the potential to affect citizens’ risk-perceptions, (in)security sentiments, electoral choices, policy preferences and institutional trust levels. It has been shown that migrant and refugee flows also affect citizens’ trust and policy preferences. The 2015 refugee crisis as it has come to be known, shook Europe’s cohesion and tested the existing immigration and asylum policies as well as acted as a further stimulus to populist/right wing Eurosceptic parties with an agenda of anti-immigrant restrictive policies. Expectedly, it has attracted considerable attention in the relevant literature. Building on existing studies that examine various aspects associated with the 2015 refugee crisis, the present paper examines its effect on institutional trust levels in Europe. Specifically, it focuses on trust towards the national government, the EU and the two state security services the police and the armed forces. To this effect, the study draws data from successive Eurobarometer surveys before and after the crisis. Employing segmented-type regression models as well as Oaxaca decomposition models it probes into the 2015 refugee crisis’ impact on the levels of institutional trust using over 400,000 responses to the relevant Eurobarometer questions. The results reported herein suggest the presence of “a rally around the flag effect”. Nonetheless, macroeconomic factors such as GDP growth and unemployment as well as differences in behavioural responses also explain a large part of the observed gap in trust before and after the 2015 refugee crisis.

A new stage in the development of the Russian gas industry

The article presents the results of a study of the current situation in the Russian gas industry. The main problems are identified. Directions for the transformation of regulation to ensure its sustainable operation and development are proposed. The present moment can be characterized as the transition to a new stage for the gas industry. Gas exports to Europe are no longer a source of financing the unprofitable domestic supplies and an investment resource for the development of new production centers and the gas transmission system. Eastern projects still require large investments, and it will be possible to talk about their profitability in decades. Therefore, complex transformations are needed in the industry, including the development of competition and gradual deregulation of prices, bringing regulated prices to reasonable costs, the inclusion of a seasonal factor in prices, resolving the issue of the gas transportation tariff, a revision of tax policy for a predictable sharing of risks and profitability between the state and business under high volatility on external markets. It is also necessary to create conditions and coordinate the activities of ministries to stimulate the development of companies’ businesses in the direction of working with highly processed products, which will not only guarantee sales, but also ensure the creation of new jobs and additional GDP growth.