Search results

This study aims to provide a more complete picture of blockchain development by combining numerous methodologies with diverse data sources, such as academic papers and news articles. This study displays the developmental status of each subject based on the interrelationships of each topic cluster by analyzing high-frequency keywords extracted from the collected data. Moreover, applying above methodologies will help understanding top research topics, authors, venues, institutes and countries. The differences of blockchain research and new are identified.

To identify and find blockchain development linkages, researchers have used search terms such as co-occurrence, bibliographic coupling, co-citation and co-authorship to help us understand the top research topics, authors, venues, institutes and countries. This study also used text mining analysis to identify blockchain articles' primary concepts and semantic structures.

The findings show the fundamental topics based on each topic cluster's links. While “technology”, “transaction”, “privacy and security”, “environment” and “consensus” were most strongly associated with blockchain in research, “platform”, “big data and cloud”, “network”, “healthcare and business” and “authentication” were closely tied to blockchain news. This article classifies blockchain principles into five patterns: hardware and infrastructure, data, networking, applications and consensus. These statistics helped the authors comprehend the top research topics, authors, venues, publication institutes and countries.

Since Web of Science (WoS) and LexisNexis Academic data are used, the study has few sources. Others advise merging foreign datasets. WoS is one of the world's largest and most-used databases for assessing scientific papers.

This study has several uses and benefits. First, key concept discoveries can help academics understand blockchain research trends so they can prioritize research initiatives. Second, bibliographic coupling links academic papers on blockchain. It helps information seekers search and classify the material. Co-citation analysis results can help researchers identify potential partners and leaders in their field. The network's key organizations or countries should be proactive in discovering, proposing and creating new relationships with other organizations or countries, especially those from the journal network's border, to make the overall network more integrated and linked. Prominent members help recruit new authors to organizations or countries and link them to the co-authorship network. This study also used concept-linking analysis to identify blockchain articles' primary concepts and semantic structures. This may lead to new authors developing research ideas or subjects in primary disciplines of inquiry.

From the perspectives of service-dominant logic and social identity theory, this study aims to assess social networking site (SNS) users’ likes as a form of social endorsement as well as its effects on like-clicking behavior, perceived brand value, customer-brand identification and purchase intention. Furthermore, the different effects of social endorsement on the perceived functional, hedonic, social and monetary brand value were investigated so as to support SNS users’ role as value cocreators.

An online survey was administered as a pretest of customer perceptions regarding brands that are liked on SNSs. Next, an experiment was conducted to verify the effects of social endorsement. A mixed-method approach including partial least squares (PLS) and fuzzy set qualitative comparative analysis (fsQCA) was adopted for the data analysis.

The results revealed that like-clicking behavior could be contagious because SNS users exposed to others’ likes were more likely to click the like button themselves. Like-clicking behavior positively influenced the perceived functional, hedonic, social and monetary value of the liked brand. Perceived brand value strengthened customer-brand identification, thereby increasing purchase intention.

Like-based social endorsements were confirmed as a type of value cocreation behavior that benefits the endorsed brand by spreading brand awareness, and increasing customer acquisition and retention. An fsQCA approach was developed to measure the moderating effect of users’ propensity to click the like button on perceived brand value, thus contributing to the advancement of fsQCA.

The purpose of this paper is to provide a comprehensive yet concise review of changes which have occurred in Vietnamese accounting regulations and practices since the mid‐1980s, and an analysis of prospective developments.

A combination of analytical review and synthesis of information available from diverse sources, and analysis of information obtained from interviews with 20 middle‐to‐senior practicing accountants.

Over the past two decades, as Vietnam implemented economic liberalization and developed closer links with Western economies, its accounting system has changed accordingly. The current system is a mixture of conceptual and formal elements taken from Western accounting and some basic features and practices retained from the old (Soviet‐style and French‐influenced) system. Further convergence toward international practices is likely to be slow, especially in the SME sector and in large enterprises that do not attract capital from foreign sources. Developments in management accounting and the accounting profession are also reviewed.

The paper contributes to the literature by providing structured and consistent information about a country which is reported only infrequently in the international literature, and considering both the pros and cons of harmonizing with IAS/IFRS in a developing‐country context.

Understanding the behavioral change process of system users to adopt safe security practices is important to the success of an organization’s cybersecurity program. This study aims to explore how the 7Ps (product, price, promotion, place, physical evidence, process and people) marketing mix, as part of an internal social marketing approach, can be used to gain an understanding of employees’ interactions within an organization’s cybersecurity environment. This understanding could inform the design of servicescapes and behavioral infrastructure to promote and maintain cybersecurity compliance.

This study adopted an inductive qualitative approach using in-depth interviews with employees in several Vietnamese organizations. Discussions were centered on employee experiences and their perceptions of cybersecurity initiatives, as well as the impact of initiatives on compliance behavior. Responses were then categorized under the 7Ps marketing mix framework.

The study shows that assessing a cybersecurity program using the 7P mix enables the systematic capture of users’ security compliance and acceptance of IT systems. Additionally, understanding the interactions between system elements permits the design of behavioral infrastructure to enhance security efforts. Results also show that user engagement is essential in developing secure systems. User engagement requires developing shared objectives, localized communications, co-designing of efficient processes and understanding the “pain points” of security compliance. The knowledge developed from this research provides a framework for those managing cybersecurity systems and enables the design human-centered systems conducive to compliance.

The study is one of the first to use a cross-disciplinary social marketing approach to examine how employees experience and comply with security initiatives. Previous studies have mostly focused on determinants of compliance behavior without providing a clear platform for management action. Internal social marketing using 7Ps provides a simple but innovative approach to reexamine existing compliance approaches. Findings from the study could leverage proven successful marketing techniques to promote security compliance.