Brand the Pricing: Critical Critique

Brand pricing decision models and established theories in the marketing and econometrics focus typically on assuming the symmetric competing businesses. The empirical generalities are key for strategic marketplace planning. The significance of pricing to customer store and brand choices are always regarded as a widely known truth among marketing scholars and explains consumer’s role responding to their psychological representations of price rather than price itself. Scholars have highlighted simple but earlier unrecognized marketing practices that managers can employ to cultivate the positioning of their prices. Many theoretical researches in promotions have focused its aspects on developing powerful pricing strategies and its impact on consumer decisions, which is might because much of the literature has focused on building and evaluating price promotion strategies. This review experiential will enlighten us on advancements that will also lead us for optimistic cross-brand category level, cross-cultural level and cross-national level influences in pricing strategies

Role of Urban Parks in Carbon Sequestration– A Case Study of Safari Park, Karachi, Pakistan

Urban parks besides their recreational use can be the potential source of climate mitigation through carbon sequestration. Present study aims to identify the carbon sequestration potential of Safari Park which is by far the largest public park of Karachi established in 1970 covering an area of 0.72 km2. A total of 153 individual trees belonging to 25 species and 14 families were included in the study. Five dominant species with highest Important Value Index (IVI) were Cocos nucifera (14.62 %), Azadirachta indica (14.21 %), Guaiacum officinale (9.93 %), Washington robusta (9.31 %) and Delonix regia (7.11 %). The highest carbon content was sequestered by C. nucifera (9472 kg) followed by D. regia (7599 kg), W. robusta (3576 kg), A. indica (1861.5 kg) while, C. erectus sequestered the lowest carbon content (765.6 kg). Pearson coefficient of all 5 dominant species showed a significantly positive correlation (p \u3c 0.05) between volume and diameter at breast height (DBH) at 0.80 - 0.93 cm, providing an assumption that trees with high DBH have a greater role in carbon sequestration. With a ratio of 17 native and 8 non-native species, the park can serve as an example of well-balanced and diverse ecosystem (Shanon and Simpson Indices of 2.8 and 0.92) focused on yielding maximum carbon content. Because of its large area with high DBH, Cocos nucifera accumulated the most carbon. The tree composition can be taken as a foundation for urban planners who are focused to integrate species diversity, richness and carbon offsetting requirements while setting up a public park in similar arid and semi-arid conditions

Developments in Promotion Strategies Review on Psychological Streams of Consumers

Theoretical decision-making models and theories in context to promotions at both brand and product level have focused and studied on several thought-provoking research explorations with three steams of research in promotion strategies. Researchers have studied the impact of price promotion strategies on consumers in several distant behaviors. Developmental theoretical models provide managers and researchers insights with deep understandings for many vital concerns like, why need in-depth study to the practice of promotion strategies, dilemmas like stock pressure, sales promoting decline after promotion events and its consequences. Branding and pricing have vital influence on decisions by consumers. Psychophysiological models are useful in the context, for instance, in decision and media research. Many theoretical researches in promotions have focused its aspects on pricing and its impact on consumer decision making. This is might because much of the literature has focused on building and evaluating price promotion strategies. This paper provides an indepth review on theoretical models, which are valuable for both researchers and for marketing executives

Brand the Pricing: Critical Critique

Brand pricing decision models and established theories in the marketing and econometrics focus typically on assuming the symmetric competing businesses. The empirical generalities are key for strategic marketplace planning. The significance of pricing to customer store and brand choices are always regarded as a widely known truth among marketing scholars and explains consumer’s role responding to their psychological representations of price rather than price itself. Scholars have highlighted simple but earlier unrecognized marketing practices that managers can employ to cultivate the positioning of their prices. Many theoretical researches in promotions have focused its aspects on developing powerful pricing strategies and its impact on consumer decisions, which is might because much of the literature has focused on building and evaluating price promotion strategies. This review experiential will enlighten us on advancements that will also lead us for optimistic cross-brand category level, cross-cultural level and cross-national level influences in pricing strategies

Brand Experience and Mediating Roles of Brand Love, Brand Prestige and Brand Trust

The study has examined females’ attitude and behavior towards cosmetic beauty products. Based on the theory of super additive effects, social identity theory and triangulation theory of love, we have developed a new model that has six direct relationships and three mediating relationships. The questionnaire was adapted from the literature. It has 5 latent variables and 35 indicator variables based on the five point Likert scale. The data was collected from females of Karachi. The sample size for the study was 387 and the response rate was 95%. The results suggest that consumers positive experience with a brand promotes brand love, brand prestige and brand trust. The antecedents of brand love, brand prestige and brand trust also promote brand loyalty. In addition, brand love, brand prestige and brand trust have mediating effects on brand loyalty. This study was restricted to Karachi. Although Karachi is a metropolitan city, consumer attitude and behavior might be different in other cities of Pakistan.Keywords: Theory of super-additive effects, social identity theory, theory of love, brand love, brand prestige, brand trust, brand loyalty

Dynamic Support of Government in Online Shopping

Advancements in online shopping for consumers requires consistent government support policies and the introduction of substantial government laws and regulations. In order to establish innovative developments in online shopping market environment that makes online shopping faster and stable, the government perspective is vital with the Technology Acceptance Model (TAM) for research and development in online shopping behavior for consumer’s confidence and their purchase intention. The proposed conceptual framework in the study establish that governments’ supports positively impact on perceived ease of online shopping, and positively influence consumer’s online shopping intentions. In addition, the study results are consistent to the empirical researches that focus on perceived ease of use and perceived usefulness that will affect consumer online shopping behavior

Financial Fraud Detection Model Based on Random Forest

Business's accelerated globalization has weakened regulatory capacity of the law and scholars have been paid attention to fraud detection in recent years. In this study, we introduced Random Forest (RF) for financial fraud technique detection and detailed features selection, variables’ importance measurement, partial correlation analysis and Multidimensional analysis. The results show that a combination of eight variables has the highest accuracy. The ratio of debt to equity (DEQUTY) is the most important variable in the model. Moreover, we applied four statistic methodologies, including parametric and non-parametric models to construct detection models and concluded that Random Forest has the highest accuracy and the non-parametric models have higher accuracy than non-parametric models. However, Random Forest can improve the detection efficiency significantly and have an important practical implication

Financial Fraud Detection Model Based on Random Forest

Business's accelerated globalization has weakened regulatory capacity of the law and scholars have been paid attention to fraud detection in recent years. In this study, we introduced Random Forest (RF) for financial fraud technique detection and detailed features selection, variables’ importance measurement, partial correlation analysis and Multidimensional analysis. The results show that a combination of eight variables has the highest accuracy. The ratio of debt to equity (DEQUTY) is the most important variable in the model. Moreover, we applied four statistic methodologies, including parametric and non-parametric models to construct detection models and concluded that Random Forest has the highest accuracy and the non-parametric models have higher accuracy than non-parametric models. However, Random Forest can improve the detection efficiency significantly and have an important practical implication