University of Dubai's Dubai Business School (DBS): E-Journals
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    142 research outputs found

    Economic growth, energy consumption, and quality environment in Nigeria

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    The paper examines the impact of energy consumption on economic growth and environmental quality and also verifies the existence of the Environmental Kuznets Curve (EKC) hypothesis in Nigeria. The Autoregressive Distributed Lag (ARDL) approach was used to estimate data covering 1981-2015 period. The result of the first model reveals evidence of inverse and significant impact of energy consumption on economic growth. Capital and trade openness show evidence of positive and significant impact on economic growth but labour reveals a negative and significant impact on economic growth. The result of the second model suggests that energy consumption is significant and positively related to environmental quality. As such, greater consumption of primary energy such as petroleum and natural gas increase carbon emissions which subsequently reduce environmental quality. Trade openness was also found to improve environmental quality. Furthermore, the test for EKC hypothesis did not reveal any evidence of its existence in Nigeria. This could result from the fact that growth level has not been expanded to a certain threshold beyond which additional expansion can reduce carbon emissions and improves environmental sustainability. The study recommends that efficiency in the use of conventional energy will go long way in reducing energy-related carbon emissions and enhance environmental sustainability. While improving human capital development will enhance the impact of labour force on economic growth in Nigeria

    The impact of cross—section dependence on the capital mobility estimation

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    Feldstein-Horioka model is one of the most famous puzzles in the international economics. The goal of this paper is to show that cross-section dependence among the countries plays important role in the estimation framework. We utilize Common Correlated Effects estimator which gives consistent estimates under the existence of cross-section dependence. We find that traditional assumption about I(1) process of dependent and the independent variable is misleading. Then we show the significant differences in the results between traditional fixed effect estimator and Common Correlated Effects estimator and so we give the next possible explanation to this puzzle. &nbsp

    Social Media and the dynamism of customer relationship marketing: An empirical analysis of customers’ acceptance of the realm of virtual CRM

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    Purpose-The advancement of social media in the servicing of customers has made it an unwritten rule for organizations to use virtual platforms for CRM purposes. However, the extent to which customers are accepting virtual CRM is something worth investigating in order to ensure that organizations do not move away from traditional ways of providing CRM to their customers without knowing the feelings and perceptions of customers with regards to virtual CRM. “Service quality is a crucial facet of information system success in e-commerce in which customer service is essential”, (DeLone and McLean, 2003), as quoted by (Kang and Kim, 2017). The provision of “service” is detrimental to successful Customer service, therefore determining the role information systems play, through social media that is cardinal to business survival. Design/Methodology/Approach- Data was collected via an online survey administered through social media platforms, as well as observation and interviews. A total of 170 surveys were answered, as well as 10 interviews conducted and 10 businesses on various social media platforms were observed. The study takes on an explorative design using mainly qualitative data. The research used grounded theory as an approach to analyse the data for final interpretation. Findings- Results showed that the more a customer interacted with a particular business on social media the more the customer built a relationship with that company thereby enhancing CRM. The results are proof that virtual platforms are in actual fact, helping businesses enhance CRM and build or enhance customer brand acceptance. The study also shows that customers generally have a positive perception towards the use of virtual CRM. Originality/Value- This study is of value to organizations all over the world who may feel or be anxious with the use of social media platforms for CRM purposes. The idea behind the use of CRM for the building of long lasting customer relationships is vital because without the knowledge needed to administer CRM through social media can be devastating and may cause irreparable damage to a business not vested in the role social media plays in CRM

    Determinants and convergence of income diversification in Ghanaian banks

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    The study explores the determinants of income diversification, as well as, test for the existence of beta-convergence and sigma-convergence among Ghanaian banks. The study utilizes a dataset of 32 banks covering the periods 2000 to 2017. The panel corrected standard error ordinary least squares, fixed effects and system generalized methods of moments have been used. Both beta-convergence and sigma-convergence exist among Ghanaian banks; suggesting the presence of the catch-up effect and similarity of strategy over time. The risk profile and risk portfolio of banks affect their diversification strategy. Banks that are faced with high insolvency risk and liquidity risk tend to diversify while banks that are faced with low credit risk tend to diversify. Stable banks tend to adopt a diversification strategy even when they are exposed to credit risk. Network embeddedness drives diversification strategy. The implications of the study for practice, policy, and future research have been discussed

    Company fundamentals and stock price movements: The role of crude oil prices – Evidence from Nigerian Stock Exchange (NSE)

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    This study analyzed company fundamentals on how it relates and predict stock price movements and the extent of the role of oil prices in moderating the influence of these company fundamentals in stock price movements. The study covered the period of 2014 to 2018. The study is a panel study. A total of 132 companies were sampled from 196 companies listed on the Nigerian Stock Exchange (NSE) as of December 2018. Data were collected from a secondary source. Multiple linear regression models were used to analyze the data. The study found that a relationship exists between selected companies' fundamentals and stock prices, and oil prices moderate the relationship. But EPS and Working Capital have high predictive power on stock price movements but moderating with oil prices the influence reduces significantly. The study recommends among others that Managers of companies in Nigeria should formulate policies and exert effort geared towards improving company fundamentals in the event of oil prices increases

    Empirical studies on the performance of banks: A systematic literature review for future research

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    This paper intends to review research on the performance of banks to identify gaps in the current body of knowledge to justify future research directions. We use a systematic literature review method and review 164 articles from refereed journals. Content analysis reveals that most of the studies are empirical focusing on two aspects i.e. financial performance and efficiency of banks. These studies consider the impact of particular events and contexts on performance and efficiency while testing research hypotheses. However, often there is a lack of a theoretical backing for these studies. We argue that the considered events and contexts affect the risk transformation process under the financial intermediation theory. The efficiency of banks reflects the risk transformation process and causes performance. On the other hand, traditional performance indicators were based on financial measures that do not reflect the components of the risk transformation process. A sound comprehensive risk-based composite measure is required to fill this gap

    Can cryptocurrencies be a safe haven during the novel COVID-19 pandemic? Evidence from the Tunisian Stock Market

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    In this paper, we discuss the behavior of stock market returns in Tunisia during the COVID-19 outbreak. Using the OLS regression, we find that Bitcoin act as a hedge and Ethereum as a diversifier for Tunisia’s stock market before the COVID-19 outbreak; however, Bitcoin and Ethereum cannot generate benefits from portfolio diversification and hedging strategies for financial investors during the COVID-19. Moreover, Dash, Monero, and Ripple act as hedges before the COVID-19 outbreak and as diversifiers during this pandemic. Our results reveal that gold acts as a hedge and diversifier before the pandemic, but it's neither hedge nor a haven during the COVID-19 pandemic. Besides, the results indicated that the expected volatility of the US stock market has an impact on the Tunisian stock market. Finally, our results indicate that the growth rate of the COVID-19 confirmed cases and deaths harms Tunisia's stock market

    Building an effective startup team

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    Startups operate in an environment marked by high uncertainty and have very few established norms and procedures to guide their actions. Therefore, to succeed they need not just a strong and visionary entrepreneur/leader, but also an effective supporting team. Members of these startup teams must be able to multitask, learn quickly, make strategic decisions, manage operations, look for customers, fix problems, and pivot when necessary. Choosing the right people to join the team is essential, but what should leaders look for, apart from what is mentioned on their resumes? This study examines the structure of startup teams to: (1) determine which roles are necessary to build a startup team; (2) find the essential knowledge, skills, and abilities (KSAs) needed in team members to ensure a higher probability of the startup’s survival; and (3) identify team-related competencies essential to ensure team effectiveness in its early stages. This qualitative study presents the findings collated from interviews with members of startups in Thailand to obtain a better understanding about selecting an effective team. The findings indicate that: (1) to establish a startup, the only crucial roles in the team are the founder and developer; (2) the team members do not necessarily require extensive knowledge about, or expertise in, the field of business they have entered; however, they need to have adequate skills and abilities to complete the tasks at hand on time, collaborate persistently, and show enough resilience, when facing challenges or blockades, to move forward or change strategy; and (3) for the team to function effectively, the team (especially the founder and developer) must collectively have all of the team-related competencies – collaborative problem solving, conflict resolution, communication, goal setting and performance management, and planning and task coordination; and if the team lacks a particular competency, another member or cofounder with this competency strength should be invited to join the team to fill in the gap, and thus, creating an effective startup team

    Hierarchical clustering of products using market-basket data

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    The goal of this paper is to present a new method of clustering products based only on the market-basket data from the retail store. The presented approach uses a special way of computing the dissimilarity matrix on which Ward’s hierarchical clustering method is used. The similarity matrix stems from the co-occurrence of products in same basket as a utility data. As a similar are denoted products which have similar co-occurring products and simultaneously are not often present in the same basket. Hence, the method does not require the identification of the customer, neither the data from fixed time frame, which is an advantage over commonly used methods. The method is reasonably fast even over huge dataset of tens of millions rows. The results are promising and easy to interpret

    Effect of income diversification on the financial performance of quoted manufacturing firms in Nigeria

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    Corporate diversification is a center of research in strategic management and finance. Many firms are experiencing a decline in their traditional activities' dues to environmental challenges, including competition, inadequate infrastructural facilities, and economic instability. The study examines the effect of income diversification on the financial performance of quoted manufacturing firms in Nigeria. Specifically, it determines the impact of product income segment diversification and non-product income segment diversification on quoted manufacturing firms' financial performance in Nigerian. The study adopted an ex-post facto research design using secondary data of 42 firms from the 63 quoted manufacturing firms in Nigeria for 11 years (2007-2017) period. Structural equation modeling (SEM) is utilized for data analysis. The study found that both product income segment diversification and non-product income segment diversification significantly affect the financial performance (ROA and ROCE variables) of quoted manufacturing firms in Nigeria. The study concluded that quoted manufacturing firms' financial performance in Nigeria is significantly affected by product income segment diversification and non-product income diversification. The study recommended that manufacturing firms should strategically diversified to increase their income generation in both the product segment and non-product segment to improve their financial performance

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    University of Dubai's Dubai Business School (DBS): E-Journals
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