The global automobile sector is among the driving forces of worldwide economies. Similarly in Pakistan, the automobile sector is the one of greatest industries. Although the automobile is one of the leading private sectors in Pakistan, the industry is largely protected from the external race. Over the eras, the automotive manufacturing consumes made a known run-of-the-mill presentation in rapports of continual and continuous progress. The vehicle manufacturing of Pakistan ensures not to partake a noteworthy part in the overall additional worth of the industrial segment. This study is finding out the effects of high duties, production, technology, and government policies on automobile growth in Pakistan. It will contribute to other important factors that affect the growth of the Automobile Industry worldwide and specially in Pakistan. Many studies use the Balassa index to analyse comparative global trade benefits, which have been shown (particularly in agriculture), but the selected automotive industry has novel study possibilities. This research focuses on the competitiveness of the car industry, a crucial sector because of its high added value, competitive market, growing technical demands and a high level of employment. The objective of our article is to analyse the comparative benefits indicated by Markov's transition probability and the caplan-meier survival function of the global car trade, and the duration and stability of the Balassa indices. Data sources for 1997-2016 are worldwide HS6 car shipments. The article has arrived at several findings. Initially, analysing the global vehicle trade, it was found that the USA, China, Germany and Japan were the greatest vehicle manufacturers, but in the time examined, the main exporters were Germany, Japan and Canada, collectively accounting for 40% of all goods shipped, with 71% of the top 10 nations. Second, the most traded/exported automotive product, as we analysed it, was a worldwide vehicle with just dazzling internal ignition (1500-300cm 3) (870323), representing more than 40% of the whole 1997-2016 export of vehicles. Third, the Balassa calculations reveal that in every period evaluated by the most prominent automotive exporters in the world, Spain and Japan had the largest comparative advantages. This is a descriptive correlational study and the primary purpose is to examine variables and relationships. This study is conducted in the education sector in Karachi, Pakistan with four variables to investigate the causal relationship among different variables. This study constructed a conceptual framework to illustrate a causal relationship by defining the relevant variables. It indicates the independent variable (the cause) and the dependent variable (the effect). There is a positive relationship between production and automobile growth. The effects of Duties are 0.294 on automobile growth and the effect of government policy is 0.177 on automobile growth and the effect of production is 0.152 on automobile growth and the effect of technology is 0.150.
Companies look up to influencers because they are seen as thought leaders who mediate between the company and its followers. This results in their taking on the role of brand ambassadors or spokespersons. They play a significant role in helping businesses develop what they call a "digital relationship" with their clientele by supplementing and amplifying more traditional forms of marketing. They see digital connection as crucial in the current business climate. This study examined the effects of influencer credibility, customer review, and customer interaction on consumers' intent to buy after seeing an endorsement from an influencer, with an emphasis on Purchase intention. The study's findings indicate that customer involvement is the most important factor in determining whether a consumer will follow through on a purchase intent prompted by an influencer. The credibility of influencers had a notably large impact on consumer engagement; however, trustworthiness was also a factor. Online shoppers place a high value on accessibility to information. Because they both include customers sharing their experience and appraisal of a product or service with other potential purchasers, customer reviews and influencer endorsements can be considered customer reviews. This research reveals that consumer reviews have little impact on consumers' propensity to make a purchase. Influencer endorsement, but not customer reviews, affects desire to buy premium goods. However, the role of customer reviews as a moderator between trustworthiness and desire to buy was not established in this research.
In light of the growing importance of social networking marketing (SMM) to the profitability of tiny and medium-sized businesses (SMEs) and the relatively modest adoption rate of SMM among SMEs, this study seeks to determine which factors influence SMEs’ adoption of SMM. This study, unlike the majority of others, proposed a two-stage analysis combining the partial least squares (PLS) method with an artificial intelligence technique called an artificial neural network (ANN). Using a deep ANN architecture, the proposed model can make predictions with a 91% success rate. The marketing rate of social networking site adoption was found to be significantly affected by the strength of the relationship between perceived efficiency, user approval of use, perceived expenses, and encouragement from upper management, beneficial conditions, and vendor pressure. The findings of this study contribute to the expanding body of literature on online advertising by shedding light on the role played by technological, corporate, and ecological (TOE) variables in consumers’ adoption of social media promotional activities. Investment choices in digital marketing in comparable and non-competitive industries can benefit from the study’s findings, which can be used by policymakers as well as managers of SMM and consumer behavior.
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