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E-commerce companies use different types of dark patterns to manipulate choices and earn higher revenues. This study aims to evaluate and prioritize dark patterns used by e-commerce companies to determine which dark patterns are the most profitable and risky.

The analytic hierarchy process (AHP) prioritizes the observed categories of dark patterns based on the literature. Several corporate and academic specialists were consulted to create a comparison matrix to assess the elements of the detected dark pattern types.

Economic indicators are the most significant aspect of every business. Consequently, many companies use manipulative methods such as dark patterns to boost their revenue. The study revealed that the revenue generated by the types of dark patterns varies greatly. It was found that exigency, social proof, forced action and sneaking generate the highest revenues, whereas obstruction and misdirection create only marginal revenues for an e-commerce company.

The limitation of the AHP study is that the rating scale used in the analysis is conceptual. Consequentially, pairwise comparisons may induce bias in the results.

This paper suggests methodical and operational techniques to choose the priority of dark patterns to drive profits with minimum tradeoffs. The dark pattern ranking technique might be carried out by companies once a year to understand the implications of any new dark patterns used.

The advantages of understanding the trade-offs of implementing dark patterns are massive. E-commerce companies can optimize their spent time and resources by implementing the most beneficial dark patterns and avoiding the ones that drive marginal profits and annoy consumers.

The use of natural resources by organizations has a significant impact on society, resulting in business firms playing a vital role in developing sustainable development. As a result, corporate sustainability has become an integral aspect of a company’s vision and policy in the modern days. Companies issue sustainability reports based on various criteria and metrics, thereby attempting to gain a competitive edge. This study aims to assess and prioritize the numerous factors that influence corporate sustainability performance.

The analytic hierarchy process (AHP) is used to prioritize the identified determinants of corporate sustainability performance based on the literature. Several experts from business and academia were engaged to build a comparison matrix for assessing the various aspects of corporate sustainability performance. As a result, various corporate sustainability determinants were determined and prioritized following an extensive literature review using the AHP.

The most critical component for companies is an economic indicator. Developing environmentally and socially responsible suggestions must be a priority for the organization’s economic performance. Economic performance is believed to be most heavily influenced by innovation and in the other category like environmental and social performance are highly influenced by environment management policies and shareholder responsibility, respectively. Researchers’ findings suggest that to promote sustainability, top executives should devote all of their attention to innovation, environment management policies and shareholder responsibility.

These studies are primarily concerned with developed countries. And, the other fundamental constraint of the AHP study is that the rating scale adopted in the analysis is conceptual. Therefore, pairwise comparisons with a variety of indicators have the potential to introduce bias into the results.

This paper proposes a methodical and operational technique for selecting the ultimate priority of sustainability indicators when it comes to exploiting competitive information on business performance. The paper also recommended sustainability rating technique might be carried out once every six months to improve the overall quality and performance of the organization.

The advantages of adopting and executing corporate sustainability are enormous, and managers must determine whether sustainability is profitable or not. This question prompts further inquiries. For example, what are the numerous critical determinants of corporate sustainability performance? Several scholars throughout the world are looking at it for this reason. As a result, it is essential to comprehend and prioritize the various determinants of corporate sustainability performance.

This paper aims to understand the effect of a change in Economic Policy Uncertainty (EPU) of India and the USA on investors' sentiment in the Indian context, consisting of Sensex returns and volatility index (Vix).

The authors employ bounds testing approach to cointegration to capture the short-and long-run effects of EPU on investors' sentiment, along with impulse response functions and variance decompositions to check the effect of a shock on Sensex and Vix.

The study concludes the existence of a cointegrating relationship for both models, that is, Vix and Sensex. In the long-run, changes in EPU_India affect Vix and Sensex positively and negatively, respectively. On the other hand, EPU_USA affects Vix and Sensex positively. Furthermore, Gregory and Hansen (1996) cointegration with endogenous structural break reveals a long-run cointegrating relationship for both models.

The effect of EPUs on investors' sentiment reveals that when there is an uncertain event that adversely affects the stock prices, investors should not make haste to take a decision as the impact on stock prices perturbation might be temporary. Therefore, one should persevere for the dip in prices to hit the desired target.

Various studies look at the effect of cross-country EPU on the home country, However, there is no such study in the Indian context. The present study examines the impact of India's EPU on investors' sentiments after controlling the USA's EPU, one of India's largest trading partners and a key determinant of global economic policy.