Pest Pizzahut

ENVIRONMENTAL AND INTERNAL ANALYSIS OF PIZZA HUT In our take in to Pizza Hut we conducted research on oath (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 field of study operating in judicial system which may affect the melodic line in different ship canal. There ar not many governmental factors in Peshawar affecting Pizza Hut as is lack of competition.Factors such(prenominal) as laws on crease employment, pollution and taxation apply on the organization which it has to follow regarding the rules. ii. ECNOMIC FACTORS If the countys economy is better so the gross domestic product of the country entrust be good, this is a green signal for the business as the per capita income of the people will be increased and they will happen 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 really often.When the inflation rate increases the cost of raw material also increases and this leads towards lavishly prices of the products and vice versa. iii. SOCIAL FACTORS Pizza hut is a multinational and it is fundamentally 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 berth class, lower class and lower class. Every country has cultural norms, values, beliefs and religious belief which can affect the organization. iv. TECHNOLOGICAL FACTORSNow a days technology is improving so as baking and heating ovens will be of new and in effect(p) technology and will provide efficient service. Due to new technology there are new ways of marketing like internet telemarketing and the organization can denote their products with much more faster pace. Computer based customer entropy t hat is MIS (managing information system) helps in collecting customer data, daily transactions, future prediction and decision making. New vehicles will make their service more efficient. ?