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The purpose of this paper is to determine the stakeholders’ acceptance on blockchain and to investigate the model fit by using “Technology Acceptance Model” with special reference to corporate governance through cryptography to resolve the decades-old problems of financial record-keeping.

The whole analysis has been performed in the two steps, i.e. confirmatory factors analysis and structural equation modeling, to prove model fit between behavioral intention and actual behavior for using blockchain technology. Total 223 respondents have been selected, and the selection of the respondent is primarily on the basis of their previous experience with trading corporate equities.

The study determines empirically all the mentioned relationships of attitude, perceived ease of use and perceived usefulness with the behavioral intention as per the conceptual model to prove the relationship. The results of the manuscript shows the model fit indexes for various constructs are prove the model fit as per the theorized model. The values of the various indexes are found to be under the permissible range which explains the relationship of various constructs based on the theorized model.

Despite, the limitations in terms of selection of sampling methods, outcome and the interpretation, the results proves the fit with the theoretical framework. The major implication is to understand the real-time use of blockchain technology for the transfer of shares from one party to other.

Stakeholders in corporate governance namely customers, creditors, suppliers, community, employees, owners, investors, trade unions and social activists could benefit in different ways. Investors could benefit from being able to purchase equity at low price and to sell them into a market with greater liquidity, but they would found it difficult to camouflage their trades.

The study opines that virtually all aspects of the corporate governance can be improved through the adoption of this technology resulting in greater transparency, improved liquidity and lowering costs.

This study will be a reference for global players in the financial industry that have started investing in this innovative technology vis-à-vis recent announcement of adoption of blockchain by global exchanges including NASDAQ, NYSE and Deutsche Borse, as a new method for trading, tracking ownership and monitoring systemic risk for strengthening corporate governance mechanism. This study will have a significant index for future reference where the technology adoption will be tested to have better corporate governance which will be useful for academics and professionals.

The study is an attempt to explore much talked but less understood issue of “blockchain in logistics industry” in modern perspective. The customers' acceptance of blockchain technology in logistics and supply chain is tested through “Technology Acceptance Model” by using attitude, perceived usefulness (PU), perceived ease of use (PEOU), behavioral intention and use behavior.

Data has been collected through online and offline medium, where active 240 responses have been collected finally using convenience sampling. Confirmatory factor analysis with structural equation modeling (SEM) was carried out for data analysis.

The customers' acceptance of blockchain technology in logistics and supply chain is tested through “Technology Acceptance Model.” The findings reveal model fit where PEOU, PU and attitude are the major constructs of the model to realize the substantial gains in logistics process efficiency.

Convenience sampling has been considered for the study to collect the data of online users of various technology applications for tracking and shipment detail, whereas a more specified method sampling can be considered for the future research. The study has been conducted in the Indian context, which has been considered as the limitation pertaining to generalization across countries and industries.

The findings of this study will be helpful for market practitioners to build transparency between customers and industry to overcome the frictions in logistics. Blockchain will help in monitoring the performance history and previous commitments of logistics professionals resulting in selecting a responsible logistics solution provider. Access to critical data by the authorized member of the supply chain will reduce unsubstantiated disputes.

Blockchain technology will be available to everyone on the network. This will bring transparency and help logistics professionals such as carriers, shippers and brokers to detect early frauds and prevent thefts. It will increase customer trust toward any financial transaction for tracking the ownership of titles.

Blockchain technology is envisioned to be a technology that could be a game-changer for decentralizing infrastructure, introducing transparency and building trust in the supply chain. The current study is a novel addition to the literature where blockchain technology enables the indisputable storage of verified data that was previously kept in safeguarded silos.

This study aims to find the model fit to understand the consumer behavior in context to the hyper-personalization through digital clienteling by using structural equation modeling. The traditional method of customer passive observance has been transformed to dominance, where, the fundamental challenge for companies is to understand consumer behavior, work on cost-efficiency and implement sustainable innovation.

To investigate this emerging issue, this study aims to find the model fit via applying “Technology Acceptance Model” (TAM) and “Theory of Reasoned Action” (TRA) in context to the hyper-personalization through digital clienteling with special reference to women ethnic fashion wear.

The study findings depict the perceived ease of use (PEOU) and perceived usefulness (PU) of technology, attitude toward clienteling and subjective norm toward customization impact on customer intensions. The findings posited that perceived usefulness is having the strong relationship with purchase intention as compare to other variables. So, the analysis postulated that customer considered hyper-personalization is having perceived usefulness for customer and it also helps customer in getting the information about the product on the Web page.

Because of lack of availability of resources, a specified sampling method has been used for this study. A new research, which will cover the fashion apparel from all the categories with a detailed study from the branded and non-branded point of view, will provide better description on this topic.

By having personalized Web page through big data analytics, customer will have positive experience and positive association with the company. The other parameters also play an important role toward the customer behavioral intention. The current study approaches new way of understanding the participative management of the personalization and tool to guide the work of strategy professionals and management of fashion e-commerce sector internationally and even in the other sectors also.

Because of advancement of technology, the usage of online media is increasing day by day and this change is having high impact on the society, though we can innovate in any field or industry. Hyper-personalization has an impact on the online consumer buying behavior, which will affect the methods of searching information for consumers.

This new area of research is having large scope of future research from the fashion industry point of view. This paper is working as one of the element in the area of hyper-personalization through digital clienteling to gain sustainable results in the fashion industry.