Binshan Lin

What is he best known for?

The fields of study he is best known for:

• Marketing
• Management
• The Internet

Binshan Lin spends much of his time researching Knowledge management, Marketing, Empirical research, Total quality management and Usability. His Knowledge management research is multidisciplinary, incorporating elements of Supply chain management, Information technology, Process and Set. His research integrates issues of Small and medium-sized enterprises and Information sharing in his study of Marketing.

His Information sharing research is multidisciplinary, relying on both Information quality, Supply chain, Quality assurance, Service management and Quality management. His Total quality management research includes elements of Learning orientation, Popularity, Service and Critical success factor. The various areas that Binshan Lin examines in his Usability study include Social influence and Quality.

His most cited work include:

• Accessing information sharing and information quality in supply chain management (567 citations)
• Adopting customer relationship management technology (272 citations)
• Internet‐based ICT adoption: evidence from Malaysian SMEs (236 citations)

What are the main themes of his work throughout his whole career to date?

Binshan Lin mostly deals with Knowledge management, Marketing, Information technology, Process management and Quality. When carried out as part of a general Knowledge management research project, his work on Knowledge sharing is frequently linked to work in Empirical research, therefore connecting diverse disciplines of study. His Marketing study combines topics from a wide range of disciplines, such as The Internet and Usability, Technology acceptance model.

His study on Technology acceptance model is mostly dedicated to connecting different topics, such as Social influence. His research on Process management frequently connects to adjacent areas such as Performance measurement. His primary area of study in Service quality is in the field of Customer advocacy.

He most often published in these fields:

• Knowledge management (32.32%)
• Marketing (31.82%)
• Information technology (10.61%)

What were the highlights of his more recent work (between 2012-2020)?

• Marketing (31.82%)
• Knowledge management (32.32%)
• Information technology (10.61%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Marketing, Knowledge management, Information technology, Structural equation modeling and Social media. He has included themes like Expectancy theory and Moderation in his Marketing study. His studies in Knowledge management integrate themes in fields like Supply chain and Supply chain management.

His work deals with themes such as Affect, Unified theory of acceptance and use of technology, End user, Transshipment and Bonded warehouse, which intersect with Information technology. The study incorporates disciplines such as Social influence, Role conflict, Total quality management and Usability in addition to Structural equation modeling. The concepts of his Social media study are interwoven with issues in Computer-mediated communication, Public relations, Advertising and Information privacy, Internet privacy.

Between 2012 and 2020, his most popular works were:

• Predicting the drivers of behavioral intention to use mobile learning (146 citations)
• Factors affecting the Adoption Level of C-Commerce: An Empirical Study (138 citations)
• An Ecological Model for Organizational Knowledge Management (104 citations)

In his most recent research, the most cited papers focused on:

• Management
• Marketing
• The Internet

Binshan Lin mainly investigates Marketing, Knowledge management, Structural equation modeling, Control variable and Technology acceptance model. His work in the fields of Marketing, such as Mobile commerce, overlaps with other areas such as Generalizability theory. His study ties his expertise on Information sharing together with the subject of Knowledge management.

His research integrates issues of Competitive advantage and Industrial organization, Manufacturing firms in his study of Structural equation modeling. His work in Control variable tackles topics such as Variance which are related to areas like Social influence and Information technology. His studies in Technology acceptance model integrate themes in fields like Artificial neural network, Service provider and Affect.