Business Administration

Permanent URI for this collectionhttps://repository.chuka.ac.ke/handle/chuka/428

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Adoption of Near Field Communication in Universities in Kenya
(2015-09) Muthengi, Fredrick Mugambi; Njebiu, Victor Mwenda
In our day to day life, the adoption of new technology to new innovation in various sectors is rising. Campus life has shifted from students’ carrying laptops and a bag full of pass cards to carrying Ipads or smart phones. Barcode bars on pass and identification cards have been replaced by near field communication (NFC) instructions. NFC is a technology standard for very-short-range wireless connectivity that enables quick, secure two-way interactions among electronic devices. The level of global interaction and mode of communication is changing and the adoption of Near Flied Communication is on the rise, replacing bar code and QR code. The technology is at advanced stages ranging from file transfer; access controls to paying for goods and services on NFC enabled payment points/devices or cards. The introduction of Near Field Communication in the universities has enhanced the speed of processes as well as simplifying them. The pass cards/ids students carry along and time spent on queues waiting to be served is reduced. This paper explores the advantages of near field communication over magnetic bar codes and QR codes in an academic institution. Near field communication combines several instructions which are read via NFC enabled devices: smart phones or tags. Student card is customized with NFC tag: from library card, access control card to student identification card. NFC is at early stages of implementation in Kenya but has been successfully rolled out in transport industry as Bebapay. With the rise of mobile enabled near field communication devices, its adoption in Kenyan universities will be a success.
ANALYSIS OF THE VOLATILITY OF REAL EXCHANGE RATE AND EXPORTS IN KENYA USING THE GARCH MODEL: 2005-2012.
(Journal of Multidisciplinary Scientific Research, 2015-08-16) WASSEJA, MOHAMMED MUSTAPHA; MWENDA, SAMWEL N.; MUSUNDI, SAMMY W.; NJOROGE, ELIZABETH
The real exchange rate has proven to be an important factor in international trade because it is expected that exports respond to real exchange rate movements with respect to the characteristics of the importing and exporting countries. Exchange rate volatility increases uncertainty of profits on contracts denominated in foreign currency and subsequently dampens trade and economic growth. This study investigated how real exchange rate volatility affected exports of key Kenyan commodities to the European Union and United Kingdom, namely; tea, coffee and horticulture to the European Union. The presence of exchange rate volatility was determined using the GARCH model. A Bounds testing and Autoregressive Distributed Lag model was used to establish the presence of a long run relationship between exchange rate volatility and commodity exports. Findings revealed that exchange rate volatility affected tea exports to the UK and horticulture exports to the European Union. Foreign income played an important role in explaining tea and coffee exports to the UK and EU respectively.
Application of Central Composite Design Based Response Surface Methodology in Parameter Optimization of Watermelon Fruit Weight Using Organic Manure
(2017-03-18) Muriithi, Dennis K.1,; Arap Koske, J. K. 2,; Gathungu, Geofrey K. 3
Response Surface Methodology (RSM) is a critical technology in developing new processes, optimizing their performance and improving the design. In Kenya, watermelon cultivation is gradually gaining ground. It is a crop with huge economic importance to man as well as highly nutritious, sweet and thirst- quenching. In order to increase crop production, there is need to increase soil nutrient content with organic manure such as poultry, cow or other animal wastes. At present, there are no recommended standards with respect to rate of poultry manure, cow manure and goat manure for enhancement of yield of watermelon in Kenya. The main objective of the study was to develop an approach for better understanding of the relationship between variables and response for optimum operating settings for maximum yield of watermelon crop using Central Composite Design and Response Surface ethodology. Response Surface Model evolved for response shown the effect of each input parameter and its interaction with other parameters, depicting the trend of response. Verification of the Fitness of the model using ANOVA technique shows that the model can be used with confidence level of 0.95, for watermelon production. Further validation of the model done with the additional experimental data collected demonstrates that the model have high reliability for adoption within the chosen range of parameters. The optimal value for each factor was found as 17.13tons/Ha of poultry manure, 13.3tons/Ha of cow manure and 18.1tons/Ha of goat manure. At optimal conditions, the actual value of the fruit weight of watermelon was 93.148tons/Ha. This translates to 37.3tons per acre piece of land of watermelon fruit weight for a period of 75-85 days after sowing. In addition, a peasant farmer can generate about 745,184 Kenya shillings within a period of 75 day in one acre piece of land at a low price of Kshs 20 per kilogram of watermelon fruit. RSM has resulted in saving of considerable amount of time and money hence recommended in similar study.
Application of Simplex Lattice Design in Watermelon Production
(2019) Muriithi, Dennis K.
This paper discusses the use of Simplex Lattice Design approach to plan the experiment for yield of watermelon with an overall objective of optimizing the multiple responses of watermelon to organic manure. Multiple linear regression models have been adopted to express the output parameters (responses) that are decided by the input process parameters. Poultry manure, cow manure and goat manure were the independent variables to optimize the response values of interest that includes; watermelon fruit weight, number of fruits of watermelon per plant. Mixture experiments are appropriate to use when a researcher wishes to determine if synergism exists in mixing components which increases productivity. Three-component design presented in this study illustrated how to apply mixture designs in agricultural research. Mathematical Model evolved for response show the effect of each input parameter and its interaction with other parameters, depicting the trend of response. From, the equation of fruit weight and number of fruits, it can be concluded that goat manure has a more important role on watermelon production in the current study. Conclusively, the current study attained the optimal condition of 17.68 ton/Ha, 11.69 ton/Ha and 19.16 ton/Ha of poultry manure, cow manure and goat manure respectively, would guarantee the farmer a maximum yield of 22.13kg fruit weight of watermelon per plant and 7.74≈8 Fruit of watermelon per plant. The study exemplified that the development of statistical models for crop production can be useful for predicting and understanding the effects of experimental factors.
BCOM 251: HUMAN RESOURCE MANAGEMENT
(Chuka University, 2023-04-11) Chuka University
BHRM 111: FOUNDATIONS OF HUMAN RESOURCE MANAGEMENT
(Chuka University, 2025-04-16) Chuka University
BPLM 101: ECONOMICS
(2025-04-12) Chuka University
BPLM 101: ECONOMICS
(Chuka University, 2025-04-12)
BPLM 102: MANAGEMENT MATHEMATICS
(Chuka University, 2025-12-12) Chuka University
BPLM 211: STORES MANAGEMENT AND STOCK CONTROL
(Chuka University, 2025-04-12) Chuka University
BPLM 214: RETAIL MERCHANDISE MANAGEMENT
(Chuka University, 2025-04-16) Chuka University
BPLM 216: PURCHASING POLICY AND STRATEGY
(Chuka University, 2025-04-16) Chuka University
BPLM 271: INTERMEDIATE ACCOUNTING
(Chuka University, 2025-04-16) Chuka University
BPLM 311: SYSTEMS PRODUCTION MANAGEMENT
(Chuka University, 2025-04-19) Chuka University
BPLM 324: LOGISTICS MANAGEMENT
(Chuka University, 2025-04-08) Chuka University
BPLM 411: E-PROCUREMENT
(Chuka University, 2025-04-19) Chuka University
BPLM 412: ETHICS IN PURCHASING AND SUPPLIES MANAGEMENT
(Chuka University, 2025-04-16) Chuka University
Communication Strategies Inherent in Business Discourse by Miraa Traders of Igembe and Somali Origin
(2014-10) Kobia, J. M.; Miriti, G.
The main purpose of this paper was to analyse the communication strategies employed by miraa traders from Igembe and Somali origin, in their business discourse. The researchers were given the impetus to undertake this study because of the uniqueness exhibited in miraa traders’ discourse. The study aimed at establishing communication strategies depicted in their discourse and was guided by the Politeness Theory as advanced by Brown and Levinson (1987) and Communication Accommodation Theory by Giles (1971) to form the basis of its theoretical framework. The study was carried out at Muringene Market and in Maua Town in Kenya. It employed the social networks approach to identify participants. The purposive sampling procedure was used. Data was collected by tape-recording negotiations as miraa traders went on with their business interactions and through non-participants observation. Data analysis was largely qualitative. The study found out that miraa traders make use of several communication strategies such as inclusion, exclusion, directness, high level of informality, and volubility and taciturnity that form the basis of this study
DENOTATIVE MEANINGS OF NAMES GIVEN TO BUSINESSES IN CHOGORIA TOWN: A PRAGMATIC ANALYSIS
(International Journal of Economics, Business and Management Research, 2019) Kinegeni, Mr. Loyford Kariuki; Atieno, Dr. Christine
Naming is an important aspect of our everyday life. Practically everything in the world has a name. This Article sought to provide a pragmatic analysis of names given to businesses in Chogoria town, Tharaka Nithi County in Kenya. The objectives of the study was to establish the denotative meanings of business names in Chogoria town. The study adopted a descriptive research design and used the Frame Semantic Theory to explain how encyclopedic knowledge can be used to arrive at the meanings of these business names. Literature was reviewed on meaning, naming, other studies on the same and how context determines meaning. Stratified sampling and purposive sampling were used to sample thirty business names from the various business types in the area of study to determine those names that would help achieve the objective. Interview schedule was used as the data collection instrument. The data was analyzed using the thematic analysis.
Determination of Infant and Child Mortality in Kenya Using Cox-Proportional Hazard Model
(Science Publishing Group, 2015-09-10) Muriithi, Daniel Mwangi 1; Muriithi, Dennis K. 2
Abstract One of the Millennium Development Goals is the reduction of infant and child mortality by two-thirds by year 2015. To achieve this goal, efforts need be concentrated at identifying cost-ffective strategies as many international agencies have advocated for more resources to be directed to health sector. One way of doing this is to identify the important factors that affect infant and child mortality. This study is necessary because, Infant and child mortality is one of the most important sensitive indicators of the social economic and health status of a community. This is because more than any other age group of a population, infants and children survival depends on the socioeconomic condition of their environment. This study addresses factors affecting infant and child mortality in Kenya. The main objective of the paper is to determine the effect of socioeconomic and demographic variables on infant and child mortality. Childhood mortality from the, KDHS 2008-09 data, was analyzed in two age periods: mortality from birth to the age of 12 months, referred to as “infant mortality” and mortality from the age of 12 months to the age of 60 months, referred to as “child mortality”. Data from Kenya Demographic and Health Survey (KDHS 2008-09) was collected by use of questionnaires, after carrying out a two-stage cluster sampling design. The Cox regression survival analysis was used to compute relative risk of the socioeconomic and demographic variables, on infant and child mortality. The study revealed that the socioeconomic and demographic factors affect both infant and child mortality. The relative risks were higher for infant’s mortality as compared to child’s mortality. The place of birth has the greatest impact on infant mortality. The study recommends policy makers and programme managers in the child health sector to formulate appropriate strategies to improve the situation, of children less than five years in Kenya, by creating awareness on these factors and improving on them.

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