Saturday, August 31, 2019
Pest Pizzahut
ENVIRONMENTAL AND INTERNAL ANALYSIS OF PIZZA HUT In our visit to Pizza Hut we conducted research on PEST (Political, Economic, Social and Technological) Analysis. In the internal analysis of Pizza Hut we have considered SWOT of the Company. PEST (Political, Economic, Social & Technological) i. POLITICAL ISSUES: Political issues include regulatory frame work operating in judicial system which may affect the business in different ways. There are not many political factors in Peshawar affecting Pizza Hut as is lack of competition. Factors such as laws on business employment, pollution and taxation apply on the organization which it has to follow regarding the rules. ii. ECNOMIC FACTORS: If the countyââ¬â¢s economy is better so the GDP of the country will be good, this is a green signal for the business as the per capita income of the people will be increased and they will spend more money. In our survey we came to know that most of the people in the beginning of the months spend more and they visit pizza hut very often. When the inflation rate increases the cost of raw material also increases and this leads towards high prices of the products and vice versa. iii. SOCIAL FACTORS: Pizza hut is a multinational and it is basically originated from America so the organization is overwhelmed by western culture. There are social forms of society which consist of Upper class, middle class, middle upper class, lower class and lower class. Every country has cultural norms, values, beliefs and religion which can affect the organization. iv. TECHNOLOGICAL FACTORS: Now a dayââ¬â¢s technology is improving so as baking and heating ovens will be of new and efficient technology and will provide efficient service. Due to new technology there are new ways of marketing like internet; telemarketing and the organization can advertise their products with much more faster pace. Computer based customer data that is MIS (managing information system) helps in collecting customer data, daily transactions, future forecasting and decision making. New vehicles will make their service more efficient. ?
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