Management Arts

The study analyzed the socioeconomic determinants of farmers’ use of indigenous soil management practices of yam production in Nasarawa state, Nigeria. A multi-stage sampling technique of six local government areas and three communities each was used to select 288 yam farmers for the study. Data were analyzed using descriptive and inferential statistics. It was discovered that most of the farmers (33.7%) and (31.6 %) were within the age ranges of 31-40 and 41-50 years respectively. Men (92.0) and married (88.2%) farmers dominated yam production in the study area. The literacy level of farmers in the study area was found to be low and majority (41.7%) of them had less than 10 years farming experience. It was discovered that the most prevalent indigenous soil management practices were tillage, crop rotation, mulching, green manuring, shifting cultivation, intercropping, organic manuring, bush fallowing and burning of crop residues in decreasing order of prevalence. The study revealed that Cost effectiveness (99.7%), Conservation of biodiversity (96.9%), user friendliness (94.8%) and Compatibility with the culture of the people (75.7%) were the advantages of using indigenous soil management practices. Use of indigenous soil management practices is significantly and positively affected by marital status, farm size, age and farming experience. The F-value at 5% level of probability confirmed that the joint effects of farmers’ socioeconomic characteristics significantly affected the use of indigenous soil management practices of yam production. The study recommends that research and extension must work closely with the rural farmers to consolidate on the identified indigenous soil management practices in the area to improve on them for a sustainable agricultural development. They must also strengthen the confidence of farmers by expressing faith in such local knowledge found to be economically viable and ecologically Sound. This will boost yam production and create opportunity for sustaining a growing population and food security in rural communities of the area.

This study aims to propose a normative model to determine the potential of cultural tourism in the municipalities that comprise the region 6 of the State of Jalisco, territorially delimited in the South of Jalisco. Firstly, it is conducted an anlaysis to determine the demand for cultural tourism to determine the cultural tourist profile under the assumptions that tourists especially motivated by culture, tend to travel longer distances than most tourists. It discusses the motivations and satisfactions of cultural tourists to establish the potential market in accordance with the characteristics of the target market in the Southern region of Jalisco. Any operation of cultural tourism companies should make the strategic diagnosis, so that explains the use of SWOT analysis as a tool for strategic planning of cultural tourism enterprises. Finally, we propose the development strategies of cultural tourism in this region of Southern Jalisco.

This article is concerned with the economic impacts of tourism industry, especially in developing countries. It initially reviews the concept and using a model, it deals with the factors affecting the economic impacts associated with tourism. The research findings indicated that with short-term and long-term strategic planning and using the specific abilities and tourism products of developing countries, which suffer from some indices as unemployment, limits in earning and currency flows, inflation and other problems, most of their economic problems can be solved.

The world economy collapsed into steep recession in the final quarter of 2008 with global real GDP dropping at a 6 percent annual rate. This was undoubtedly the sharpest decline in world output and especially in world industrial production and world trade of the postwar era, with virtually all countries participating in the downturn and many registering record quarterly declines in real GDP .the global economic contraction continued through the first quarter of 2009, although perhaps at a somewhat slower pace than the preceding quarter. This recession in world economy has also initiated a discussion among economist regarding synchronization of various economies of the world and recession in one country bringing effects in other. In economics Decoupling Hypothesis rejects linkage between world economy and economy of a particular country . The present paper aims to find tenability of decoupling Hypothesis in India and finds correlation between recession in world economies and Indian Economy

Retirement is of the categories, which contains widely range in studies and involves scientific and legislative societies of each country to itself. In numerous discussions with pension matters; discussion about mandatory retirement age, because of its closeness with employment; more than other retirement issues is important and it more worthy to pay attention. Also, the mandatory retirement age increase or decrease due to its different effects on different domains (such as job or income and social security organization losses) is quite a challenging and reviewable matter. Accordingly, we have tried to engage to the subject of compulsory retirement age and factors affecting its determination and to provide a good model for legislation in this field.

Woman by virtue undergoes various life transitions in her entire life which has a direct bearing on her career and health. Ever changing patterns of working and competition have gradually increased pressure on woman’s health and productivity at work. Women working in industries where more time is required like media, advertising, entertainment, and fashion is obliquely pushing them towards a synthetic lifestyle which will ultimately pose question on their identity at large. This report can be further extended towards the workplace domains on working women who are constantly under one or other life transitions in the context of their productivity at work and resultant stress.

To gain competitive advantage and stay ahead in today’s highly competitive retail environment, retailers need to know their customers with respect to their outlets, monitor the performance, assess the impact of competition, drill down into a trade area to identify customers and choose new store locations strategically. Location Intelligence with its ability to manage, display, and analyze business information spatially, is emerging as a powerful tool to help retailers achieve all the above. Location Intelligence is the ability to take organizational data and apply location to allow effective decision-making. The organizational data comes from the Business Intelligent system (BI) and the location (spatial) support is derived from the Geographic Information System (GIS). BI systems handle the ‘who’, ‘what’ and ‘when’. GIS is a powerful location tool, which enables the analysis of the “where ”Retail location analysis deals with the collection, analysis and dissemination of spatially referenced information, which is ideally handled by location intelligent systems. Location Intelligence allows easy visualization of the geographically influenced behaviors, activities, trends and processes, communicate the same for improved analysis and decision making. The focus of this paper is to understand the use of location intelligence system on retail location decisions.

One of the factors effective on success of the organizations is their human resources which has direct effect on productivity of the organizations. For this reason, performance of human resources is very important. In this paper, efficiency of personnel of Islamic Azad University, Tehran Sciences and Research Branch has been studied with approach of human resources. For efficiency analysis and ranking, two combined models of DEA and artificial neural networks (ANNs) were used. At first, analytical results of two models were compared with DEA and then two trained network models were compared with each others. Results of this research show that training method of the second model compared to the first model show potential of neural networks in identification of model, estimation of function, prediction allow to use it in order to assess the organizations with decision making branches, therefore, it can be presented as top model.

This study by using of fuzzy approach has attempted to model for predicting the risk of tourism in a fuzzy environment developed for this purpose , at first , the effective parameters of the process of determining the number of tourism in metropolises are recognized , then the variables are classified in 11 categories and according to experts’ opinions , their importance is identified by DEMATEL technique that it is reduced to 14 variables and classified to 4 groups, and considered as an input. Following the classification each with by using membership functions of linguistic variables were transformed into qualitative variables. Each variable in the fuzzy sign in fuzzy networks finally, each of the output variables of the fuzzy system derived. After the Create 11-fuzzy network, each output results as an affecting factor on main risk associated with specific weight and then the weight relation each of the small risks, the main risks was obtain. The end Tehran city as a case study assessment Tehran, with a 50.503% (average) tourism risk whit human-induced has been calculated. It should be noted that these rhythms were in various cities and countries, is different.

Mobile commerce has emerged as an innovative and consequential improved method of business over e-commerce. Mobile payment service is a modern innovation in this direction. M-Payment popularly known as ‘Pay with your mobile’ is a revolutionary, easy, convenient, and secure mobile payment service. According to Capgemini report 2008, there are approximately 30 million users of m-payments all over the world. Though it accounts for merely 1 percent of the value of gross global non-cash payments, the mobile payments market is growing very fast. In the background of these developments and changing scenario, the study examined the attitude of respondents about the new revolutionary M-payment technique. The study found that more than three fourth of the respondents have awareness and requisite know-how about introduction of M-payments facility. Retail purchases and bill payments have emerged as the two top preferences for M-payments. The survey conducted on the basis of gender of the respondents observed no significant difference in their motives and attitudes regarding the applicability and the concerns of this most far-reaching M-payments mode. It is found that the success of M-payment in principle depends on the wider acceptability of m-payments by merchants, clear picture about the settlement platform, and enactments of legislation and rules governing M-payments.