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    1292 research outputs found

    MEDIATING EFFECT OF FINANCIAL INNOVATION ON THE RELATIONSHIP BETWEEN ORGANIZATIONAL CAPITAL AND FINANCIAL PERFORMANCE OF COMMERCIAL BANKS IN KENYA

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    The purpose of the study was to investigate the mediating effect of financial innovation on the relationship between organizational capital and financial performance of Commercial Banks in Kenya. Purposely the study sought to examine the relationship between financial knowledge and expertise and financial performance of commercial banks in Kenya. It also evaluated the relationship between financial business process and practice and financial performance. Assessment of the relationship between human capital and financial performance and assess the mediating effect of financial innovation on the relationship between organizational capital and financial performance of commercial banks was done. A census survey was carried out on all the 41 licensed commercial banks in Kenya. Out of the 123 respondents that were targeted, all responded constituting a response rate of 100%. Hypotheses were tested using a combination of multivariate techniques, including regression analysis, chi-Square, RMSEA, GFI and NFI to address the mediating effect as well as model complexity, estimating constructs and latent variable scores. The findings found that financial knowledge and expertise had a positive relationship with the financial performance of commercial banks There was a strong positive relationship between the financial business process and financial performance of commercial banks. This implies that organizational capital leads to enhanced financial performance. The results also revealed that there was a significant positive relationship between human capital and financial performance of commercial banks. The study confirmed that the combined effect of financial innovation (ATMs, internet banking, Mobile banking and Debit cards) mediated the relationship between organizational capital and financial performance of commercial banks. This study contributes to understanding the mediating effect of financial innovation and financial performance as well as confirming the finding of previous studies that have found a significant link of mediating effect of financial innovation and financial performance of commercial banks. The study used T statistical tests which indicated that financial innovation had a mediating effects effect on organizational capital and financial performance (β=0.378, p< 0.05). The study also brings out that increased understanding of financial knowledge and expertise can enhance financial performance of Commercial Banks. Firms should strengthen their financial business process and practice since it plays a significant role in channeling funds to the industries as well as contributing towards economic, financial growth and stability. Financial institutions like banks can also enhance financial performance by building on their human capital through customer relations, employee relations and increased customer loyalty. Several financial performance parameters such as Return on Assets (ROA) and Earnings Before Interest and Tax (EBIT) were used to measure the financial position for the commercial banks. Liquidity preference Theory, Diffusion of Innovation Theory and Transaction Cost Theory guided this study. The study was carried out in Nairobi‘s since over all of the Commercial Banks head offices are based in Nairobi. The study respondents were the bank operation managers, credit managers and transactional banking manager. A self administered and open-ended questionnaire was used to collect primary data while secondary data was obtained through documentary analysis of audited published financial statements

    SERVICE TIPPING AS A COMPETITIVE ADVANTAGE STRATEGY FOR PERFORMANCE OF HOTELS IN KENYA: A BALANCED SCORE CARD PERSPECTIVE

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    Attainment of competitive advantage is an ultimate goal of any organization. Further, the hotel industry remains extremely competitive world over; not to mention its significance as a major foreign exchange earner in Kenya. In view of this, many hotels have adopted a variety of strategies to keep their customers happy which has been found to be contingent upon a happy workforce. Service tipping historically has taken many forms including voluntary tips by customers and systematic service charge or gratuity to appreciate hotel staff for their service. The question of whether to formalize this practice and develop formal system or best practices for it as a strategy in the hotel industry in Kenya has not received scholarly attention especially on its influence to hotel performance yet it is casually very rampant. This study therefore, aimed at determining the effect of Service Tipping as a competitive advantage strategy on performance of hotels in Kenya using the Balanced Score Card four main performance indicator perspectives namely financial, customer, internal business processes and learning and growth. The four perspectives formed specific evaluation criteria on indicators for performance to the model analysis against the independent variable of service tipping in different characteristics and moderated by the hotel rating. A part from empirical literature, the theories used in the study include Resource Dependency Policy, Reciprocity and Equity Theory, Tipping Motives Framework (TMF) and Balanced Scorecard Framework. The study adopted a mixed method including descriptive survey and predictive correlation research designs targeting 183 star rated hotels in Kenya. The study used a sampling formula by Yamane (1967) to arrive at a sample size of n=126 of the star rated hotels in Kenya obtained from the Ministry of Tourism and Wildlife classification. Data collection was mainly done through physical dropping of the questionnaires by research assistants to hotels around towns and by mail especially to those hotels that were inaccessible either in towns or away from towns. The study was conducted in a period of three months using structured questionnaires. The study used drop and pick procedure for data collection for the required data. Due to wide distribution of Tourism Circuits where hotels are located in Kenya, some of the questionnaires were mailed to the respondents. The study used descriptive statistics such as means, standard deviation and percentages and inferential statistics using Regression Analysis. The study established that service tipping affected financial, customers satisfaction, internal business process, and learning and growth performance of hotels in Kenya. The study established that when star rating was introduced as a moderating variable, the relationship between service tipping and hotels performance remained statistically significant, although the value of the regression coefficient reduced slightly (r=1.089-1.088 = 0.001). This slight change in the coefficient is the statistical proof that when star rating was introduced, it slightly reduced the regression coefficient although the relationship between service tipping and hotels performance remained statistically significant. The study recommends that Tourism Regulatory Authority which is the policy body of Hotels in Kenya should develop Service Tipping Policy to guide in service operations in the Star Rated Hotels in Kenya to further improve the Star Rated Hotels performance since the study established that service tipping positively affected Balanced Score Card performance indicators of the hotels

    The Role of IoT, Blockchain, Artificial Intelligence and Machine Learning in Maternal Health

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    Ingeniously, the innovations taking place in current medical era, where technology plays a dynamic role in pregnant women care taking both inside hospital and outside. Integration of Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML) and Blockchain technologies is deemed to ensure the effective and efficient care of pregnant women in any environment because intelligent tiny devices like Radio Frequency Tags (RF-Tags), Sensors are attached with pregnant women, and all the activities of pregnant women can be monitored by professional medical staff from anywhere and anytime. The usage of these advanced destructive technologies in pregnant women care environment, absolutely eradicates the pregnancy complications and harmful incidents, but also promotes privacy, integrity and availability of maternal health systems. The purpose of this paper is to discuss the usage of IoT, artificial intelligence, machine learning and blockchain in pregnant women healthcare environments and articulates endorsements to promote future research and also guarantee the pregnant women’s data privacy is preserved. The study further seeks to unveil the potential benefits of integrating the four medical digital technologies into a single maternal healthcare application to reap their singular benefits. The study will apply an exploratory research design to review the existing literature on the destructive technologies and the results will be used to develop a conceptual framework that would be used to guide future research in maternal healthcare

    INFLUENCE OF ENTREPRENEURIAL COMPETENCIES ON MICRO AND SMALL ENTERPRISE SURVIVAL IN WAKISO DISTRICT, UGANDA

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    Micro and Small enterprises (MSEs) in Uganda face survival challenges and many of them collapse before celebrating their first birthday, and those that manage to reach one year still show survival challenges. Prior studies highlight a number of reasons for failure but do not clearly explain how entrepreneurial competencies (ECs) of the owner/manager influence MSE survival. The purpose of the study was to examine the influence of ECs on the MSE survival in Wakiso district, Uganda using the six significant ECs as determined by Morris‟ model. The specific objectives were to establish the influence of: (social networking, opportunity recognition, risk management, creative problem solving, guerrilla skills and perseverance) on MSE survival in Wakiso district, Uganda. The descriptive survey research design using a pragmatic approach were used. Purposive sampling was used to select five sub-counties from a total of sixteen based on their nature of importance, such as possessing a high record of MSE failure, being rural, periurban and urban, and a high concentration of MSEs. From the accessible population of 1,500 MSE owners/managers obtained from Wakiso District records of MSEs as of 2018, questionnaires were distributed to a sample of 306 of which 281 usable questionnaires were returned giving a response rate of 91.8 percent. Sub-counties were stratifies from which respondents were obtained using simple random sampling by use of a lottery method.Officers responsible for business operations at each sub-county were the key informants and were interviewed. The study targeted the owners/managers of MSEs within Wakiso district who employed from 0 – 4 people (micro) and from 5 – 50 people (small). Multiple linear regression analysis was used to establish the influence of entrepreneurial competencies on MSE survival in Wakiso district, Uganda and results depited that social networking, creative problem solving, guerrilla skills, and perseverance had a positive and statistically significant influence on MSE survival in Wakiso district, Uganda. Opportunity recognition had a negative significant influence on MSE survival, while Risk management was found insignificantly influencing MSE survival. Results from interviews also showed that entrepreneurial competencies under study were very important in contributing to MSE survival and elicited for other factors contributing to MSE survival. The study concluded that all the entrepreneurial competencies under study, except for risk management were contributors to MSE survival. It was recommended that MSE owner/managers strive to utilize their social network skills, opportunity recognition skills, creative problem solving skills, guerrilla skills and perseverance skills maximally. They should establish short and long-term networks with relevant stakeholders, should take advantage of opportunities that arise after careful assessment, should utilize their creative problem solving abilities in their product and service offering, employ tactics that are unique low cost tactics, and should persevere at all costs during periods of adversity. MSE owners/managers should establish forums or associations where they could facilitate the development of these competencies further if they want to enhance business survival

    Empirical Evaluation of Adaptive Optimization on the Generalization Performance of Convolutional Neural Networks

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    Recently, deep learning based techniques have garnered significant interest and popularity in a variety of fields of research due to their effectiveness in search for an optimal solution given a finite amount of data. However, the optimization of these networks has become more challenging as neural networks become deeper and datasets growing larger. The choice of the algorithm to optimize a neural network is one of the most important steps in model design and training in order to obtain a model that will generalize well on new, previously unseen data. In deep learning, adaptive gradient optimization methods are mostly preferred for supervised and unsupervised tasks. First, they accelerate the training of neural networks and since mini batches are selected randomly and are independent, an unbiased estimate of the expected gradient can be computed. This paper examined six state-of-the-art adaptive gradient optimization algorithms, namely, AdaMax, AdaGrad, AdaDelta, RMSProp, Nadam, and Adam on the generalization performance of convolutional neural networks (CNN) architecture that are extensively used in computer vision tasks. Experiments were conducted giving comparative analysis on the behaviour of these algorithms during model training on three large image datasets, namely, Fashion-MNIST, Kaggle Flowers Recognition and Scene classification. The results show that Adam, Adadelta and Nadam finds the global minimum faster in the experiments, have a better convergence curve, and higher test set accuracy in experiments using the three datasets. These optimization approaches adaptively tune the learning rate based only on the recent gradients; thus, controlling the reliance of the update on the past few gradients

    The Effect of Hotel Star Rating on Service Tipping Strategy and Performance of Hotels in Kenya.

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    The main purpose of this study was to investigate the moderating effect of star rating on the relationship between service tipping and the performance of hotels in Kenya based on a Balanced Score Card Perspective. The study was based on the following theories; Resource-Based Theory and Balanced Scorecard Framework. First, the study adopted a descriptive quantitative survey design. The study, therefore, targeted the 183 starrated hotels in the four circuits. Second, the study's unit of analysis included the hotel managers (general managers, supervisors and head of departments) and service staff. Third, the researcher adopted Yamane (1967) formula that can be used to calculate a suitable sample size of 117 hotel managers of the Star Rated Hotels operating in Kenya. Fourth, the study used a structured questionnaire to collect the required data from the respondents. The study established that when star rating was introduced as a moderating variable, the relationship between service tipping and hotels performance remained statistically significant, although the value of the regression coefficient reduced slightly (r=1.089-1.088 = 0.001). This slight change in the coefficient is the statistical proof that when star rating was introduced, it slightly reduced the regression coefficient, although the relationship between service tipping and hotels performance remained statistically significant. Finally, the study recommended that the Tourism Regulatory Authority, the policy body of Hotels in Kenya, develop a Service Tipping Policy to guide service operations in the star-rated hotels in Kenya. It also recommends that the department of Kenya Tourism regulatory (TRA) should promote service tipping among the star-rated hotels in Kenya

    AB INITIO STUDY OF ELECTRONIC, MECHANICAL AND OPTICAL PROPERTIES OF CH 3 NH 3 PbI 3 FOR PHOTOVOLTAIC APPLICATION

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    The ever increasing need of energy in third world countries has necessitated the need for coming up with measures of seeking alternative energy sources. Solar energy is one of the most important alternative sources of energy because of its abundance in these regions. Up to this time, the use of the first and second generations solar cells made of silicon in making solar panels has notable shortcomings such as unaffordability and lack of longevity of the electric power generated. In this regard, therefore, this study purposes to establish ideal photovoltaic properties which increases the durability and efficiency of CH3 NH3 PbI3 solar cells. The purpose of this work was to study computationally the electronic, mechanical and optical properties of CH vii 3 NH3 PbI3 and its potential application in photovoltaic. The specific objectives include determining electronic, mechanical and optical properties of CH3 NH3 PbI3 from first principles and to establish the ideal properties of CH3 NH3 PbI3 for photovoltaic applications. Electronic, mechanical and optical properties of CH3 N3 PbI3 were calculated using ab initio methods specifically Quantum Espresso code. The norm conserving pseudo potential was used. Band gap was calculated as 1.58 eV which is close to the experimental value which is approximately 1.56 eV. Elastic constant parameters such as bulk modulus B, Young’s modulus E, shear modulus G and Poisson’s ratio ν were calculated using the Voigt–Reuss–Hill averaging scheme. Our calculated lattice parameter a is 6.39 Å comparable to experimental value of 6.33 Å while the Poisson’s ratio () in this work is 0.25 and experimental value is 0.28.Optical properties like real 1 and imaginary part ( 2) of dependent dielectric function and absorption coefficient were calculated and discussed. The calculated values of all parameters were compared with the available experimental and theoretical values. There is a fairly good agreement between experimental data and this computational work. These findings establish systematic design rules to achieve silicon like efficiencies in a basic CH3 NH3 PbI3 perovskite solar cell

    Rethinking Patricia Asero Ochieng and Two Others v. The Attorney General and another

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    In 2012, the High Court of Kenya at Nairobi declared Section 2 of the Anti-Counterfeit Act (ACA) unconstitutional because its enforcement would limit access to affordable and essential drugs and medicines and thereby undermine the right to life, human dignity and health as guaranteed under the Constitution of Kenya. This case review revisits this important judgement by Justice Mumbi Ngugi with the aim of analysing it for legal soundness. Further, this review discusses the likely impact of the judgement on the fight against counterfeit drugs and access to drugs in Kenya. On the other hand, there will be a comparison between Kenyan legal system and some foreign laws. The review argues that the judge applied the wrong legal principles in making her determination, arriving at a legally flawed conclusion, thereby nullifying the balance between the rights of intellectual property rights owners and users as established under the Industrial Property Act

    Human Rights Implications from the Perspective of Marine Cultural Heritage: Framework and Guidelines for Training and Free, Prior and Informed Consent

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    The Lamu Port, South Sudan, Ethiopia Transport Corridor (LAPSSET) is one of the largest infrastructure projects in Kenya. It is being carried out as one of the flagship projects under Kenya’s Vision 2030. 1 The project spans three countries: Kenya, South Sudan and Ethiopia, but the benefits anticipated from the project are expected to span the entire Eastern African region. It is a major infrastructure development project that involves developing a transport corridor from a new Port in Lamu through the towns of Garissa, Isiolo, Maralal, Lodwar and Lokichoggio to branch at Isiolo to Ethiopia and South Sudan. 2 The corridor is made up of a new road network, railway line, oil refinery at Lamu, oil pipeline, Lamu Airport and free port at Lamu (Manda Bay) in addition to resort cities at the coast and in Isiolo. 3 The project is expected to spur economic growth in Kenya and open up regions which were hitherto underdeveloped. In March, 2013, the LAPSSET Corridor Development Authority was created to plan, coordinate and manage implementation of all LAPSSET projects

    INFLUENCE OF TRANSFORMATIONAL LEADERSHIP ON IMPLEMENTATION OF HUMAN RESOURCE MANAGEMENT POLICIES BY KAKAMEGA COUNTY GOVERNMENT, KENYA

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    Implementation of Human Resource Management policies by governments in developing countries has not translated into development and quality service delivery. Leadership is integral to achieving government goals. This study aimed to establish influence of transformational leadership on implementation of Human Resource Management policies by County Government of Kakamega. Five study objectives included; to establish the influence of idealized influence on implementation of Human Resource Management policies; to establish the influence of inspirational motivation on implementation of Human Resource Management policies; to establish the influence of intellectual stimulation on implementation of Human Resource Management policies; to establish the influence of individualized consideration on implementation of Human Resource Management policies; and to establish the moderating influence of political leadership on implementation of Human Resource Management policies by County Government of Kakamega. A descriptive research design and quantitative method involving use of questionnaire as the primary data collection instrument was adopted. The study population comprised all the 6,328 County Government of Kakamega permanent employees. Both stratified sampling and simple random sampling techniques were applied to get a sample size of 165 respondents. A pilot study was conducted in Bungoma County where the study checked for internal consistency and reliability of the instrument for data collection. Cronbach‘s coefficient alpha of 0.967 was obtained for internal reliability. Ethics governing research were accorded utmost consideration. A 93.3% return rate was attained, good for social statistics analysis. The Statistical Package for the Social Sciences (SPSS) was used to analyze data in the study. Pearson Product Moment Correlation Coefficient and regression were used in analysis within 95% confidence interval to test for associations, relationships and independence of indicators. Study findings revealed a significant and positive relationship between idealized influence, inspirational motivation, intellectual stimulation and individualized consideration when correlated with implementation of Human Resource Management Policies. The study however revealed a significant negative relationship between political leadership by Kakamega County Government and Implementation of Human Resource Management Policies. Partial Correlation in first order and zero order controlling for political leadership by Kakamega County government revealed that political leadership had a significant negative influence on the relationship between transformational leadership and implementation of Human Resource Management Policies. Study findings were in agreement with empirical evidence from previous studies on how idealized influence, inspirational motivation, intellectual stimulation and individualized consideration influenced implementation of Human Resource Management Policies, particularly in public organizations. Based on the study findings, it was concluded that transformational leadership had a significant positive influence on implementation of Human Resource Management policies by Kakamega County Government. The study therefore stretches the frontiers of knowledge on the nexus between transformational leadership and implementation of Human Resource Management policies and recommends enhancement of reward policy, strengthening of training and development policy and formulation of moderative discipline policy in Kenya

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