Liang Chen

 Liang Chen

Liang Chen

  • Courses5
  • Reviews16
May 6, 2018
N/A
Textbook used: Yes
Would take again: No
For Credit: Yes

0
0


Mandatory



Difficulty
Clarity
Helpfulness

Awful

Chen is struggling to speak English. His lectures are impossible to follow. He does not make any sense at all. Basically you have to teach yourself .

May 3, 2018
N/A
Textbook used: Yes
Would take again: Yes
For Credit: Yes

0
0


Mandatory


online
Difficulty
Clarity
Helpfulness

Awesome

Did a wonderful job, gets a top rating from me. He may be new to teaching, but he put all of his effort into making the online classes as similar as possible to the on-campus ones. Loved the first class so much I went and signed up for the second one.

Nov 1, 2019
N/A
Textbook used: Yes
Would take again: Yes
For Credit: Yes

0
0


Not Mandatory



Difficulty
Clarity
Helpfulness

Awesome

Prof. Chen is always willing to help you succeed. He always entertains questions and he even gives detailed videos to show how we were supposed to do the procedures. It was actually an intense class and you will really have to read. His quizzes are also very different. They test your understanding to make sure that you know what you are doing. His homework can be long but easy.

Biography

West Texas A&M University - Business


Resume

  • 2010

    Doctor of Philosophy (Ph.D.)

    Decision Science & Information Systems

    University of Kentucky

    Information Economics

    Information Systems Implementation

    Decision Support Systems

    Regression & Correlation

    Operations and Supply Chain Management

    System Analysis and Design

    Advanced Business Analytics

    Human-Computer Interaction and Experimental Design

    System Alignment and Project Management

    Management Science

    Supply Chain Management Strategy

    Supply Chain Operations

    Statistic Inference and Analysis of Categorical Data

    Business Analytics

    Organization Commuting and Electronic Business

    Knowledge Management

    Design & Analysis of Experimentation

    Structural Equation Modeling

    Research Methods

    Google Analytics Academy

    Google Analytics Platform Principles

    Mobile App Analytics Fundamentals

    Google Analytics Academy

  • 2006.

    Beijing City

    China

    •\tManaging regular mobile communication research projects \n•\tClients include China Mobile

    China Unicom

    SK Telecom

    among others.\n•\tExcellent Employee Award

    Project Manager & Analyst

    Beijing SINO Market Research Ltd.

    Decision Sciences Institute

    Association for Information Systems

    Production and Operations Management Society

    Institute for Supply Management

    Institute of Electrical and Electronics Engineers

  • 2004

    Master's degree

    Business Administration

    Management and Operations

    1. Excellent Graduate Student

    2006\n2. Excellent Research Award

    Renmin University of China

  • 2001.

    中文

    English

    Bachelor of Business Administration (BBA)

    Business Administration

    1.\tZeng Xianzi Scholarship

    China Ministry of Education

    2000 - 2004. \n2.\tDean’s List

    School of Business

    Renmin University of China

    2003.\n3.\tKwang-Hua Scholarship

    Kwang-Hua Education Foundation

    2003.\n4.\tExcellent Student Leader

    Renmin University of China

    Renmin University of China

  • China Federation of Industrial Economics

    Business Analyst

    Chinese Academy of International Trade and Economic Cooperation

    Statistics

    Process Improvement

    Lean Manufacturing

    Strategic Planning

    Research

    SPSS

    Operations Management

    Data Analysis

    Teaching

    Statistical Modeling

    Project Management

    Qualitative Research

    Student Affairs

    Matlab

    University Teaching

    Management

    R

    Leadership

    Continuous Improvement

    Cross-functional Team Leadership

    A Supplier Development Adoption Framework Using Expectancy Theory

    Nallan C Suresh

    We apply expectancy theory to advance a conceptual framework which identifies factors that motivate and affect the adoption of supplier development activities. Our application of expectancy theory facilitates the integration of constructs culled from disparate theories into a cohesive conceptual framework. Highlighting the central role of motivational force

    our conceptual development provides a behavioral explanation for the indirect effects of activity-

    firm-

    interfirm-

    and environment-level factors on supplier development adoption.

    A Supplier Development Adoption Framework Using Expectancy Theory

    As a key supply chain management practice

    supplier development has been found to yield positive performance and capability consequences. However

    it remains unclear why these consequences are achieved. Even though supplier development is predicated on knowledge management activities

    it is rarely studied from a knowledge management perspective. In order to bring greater clarity to the connections between supplier development and its consequences

    we leverage the knowledge chain theory to capture buyers’ and suppliers’ knowledge management activities in supplier development. Through an extensive review and systematic classification of supplier development activities in the literature

    this study generates a reliable catalog of supplier development activities

    finds support for the knowledge management perspective

    and reveals the extent to which supplier development activities are knowledge-based activities. In addition

    we generate an integrated definition

    a meaningful taxonomy

    and a comprehensive implementation approach for supplier development. Further

    we illuminate how positive performance and capability consequences of supplier development can be achieved through the design and execution of knowledge activities embedded within supplier development activities. This study contributes to extant research by articulating the important role of knowledge and knowledge management in supplier development and advancing a comprehensive

    unified

    organized foundation for understanding supplier development and its link with performance.

    Supplier Development: A Knowledge-Management Perspective

    Zihong Huang

    Crowdfunding has risen rapidly as a way of raising funds to support projects such as art projects

    charity projects

    and new ventures. It is very important to understand how crowds in the crowdfunding market are organized to carry out various activities. This study documents and compares two crowd designs for crowdfunding

    namely pure crowds

    where all crowd members participate as equals

    and hybrid crowds

    where crowd members are led by an expert investor. The hybrid design is rarely studied in the crowdfunding literature despite its large presence in equity crowdfunding. We examine industry practices from various countries in terms of crowd designs

    review relevant literature on this topic

    and develop a conceptual framework for choosing between pure and hybrid crowds. We identify several inefficiencies of pure crowds in crowdfunding platforms and discuss the advantages of hybrid crowds. We then develop a conceptual framework that illustrates the factors for choosing between pure and hybrid crowds. Finally

    we discuss the issue of how to manage and regulate lead investors in hybrid crowds.

    Pure and hybrid crowds in crowdfunding markets

    Santhanam

    Radhika

    Highlights\n•New video formats of online reviews are useful and influence consumer perceptions in a very nuanced way\n•Product types play an important role

    and moderate the effect of presentation formats\n•\nVideo formats may even change consumers perception of product type\n•An Information Technology (IT) feature of online reviews -presentation format – is critical; hence more research should be conducted on this feature.\n•Presentation formats should be managed

    because they impact consumer’s perception and intentions to purchase the product.

    Will video be the next generation of e-commerce product reviews? Presentation format and the role of product type

    This study incorporates the knowledge chain theory to supplier development and investigates the importance of each knowledge management activity in supplier development. Using the survey data from a sample of active scholars and consultants who are committed to supplier development

    this study supports the significant role of knowledge management in supplier development. Specifically

    these scholars and consultants suggest that both buying and supplying firms should at least moderately conduct each knowledge management activity in supplier development in order to achieve desired outcomes. We also find that the roles of buying and supplying firms vary across 9 knowledge management activities. In addition

    our respondents indicate that the definition of supplier development raised based on the the knowledge chain theory is at least moderately successful in all the evaluation criteria. Based on the quantitative and qualitative evidence from our respondents

    this study revises the definition slightly to make it more comprehensive and clear. This study contributes to extant research by confirming the necessity of implementing knowledge management activities in supplier development

    validating the heterogeneous roles of knowledge management activities in supplier development

    and raising a revised definition of supplier development from the knowledge management perspective.

    A knowledge management perspective of supplier development: Evidence from supply chain scholars and consultants

    Evaluating Journal Quality: Beyond “Expert” Journal Assessments in the IS Discipline

    Zhihong Ke

    Understanding relative statures of channels for disseminating knowledge is of practical interest to both generators and consumers of knowledge flows. For generators

    stature can influence attractiveness of alternative dissemination routes and deliberations of those who assess generator performance. For knowledge consumers

    channel stature may influence knowledge content to which they are exposed. This study introduces a novel approach to conceptualizing and measuring stature of knowledge-dissemination channels: the power-impact (PI) technique. It is a flexible technique having 3 complementary variants

    giving holistic insights about channel stature by accounting for both attraction of knowledge generators to a distribution channel and degree to which knowledge consumers choose to use a channel's knowledge content. Each PI variant is expressed in terms of multiple parameters

    permitting customization of stature evaluation to suit its user's preferences. In the spirit of analytics

    each PI variant is driven by objective evidence of actual behaviors. The PI technique is based on 2 building blocks: (a) power that channels have for attracting results of generators' knowledge work

    and (b) impact that channel contents' exhibit on prospective recipients. Feasibility and functionality of the PI-technique design are demonstrated by applying it to solve a problem of journal stature evaluation for the information-systems discipline.

    Knowledge-Dissemination Channels: Analytics of Stature Evaluation

    E-Business Adoption Research: State of the Art

    Thank you very much for taking your time to read Leon's profile.\nDr. Liang (Leon) Chen is an assistant professor at West Texas A&M University. He has earned his PhD degree in Decision Science & Information Systems from Gatton College of Business and Economics

    the University of Kentucky. He holds a B.A. and M.A. in Business from Renmin University of China. His primary research interests include data analytics

    e-business (esp. online reviews

    crowdsourcing

    collaborative community)

    knowledge management

    and supplier development. \n\nLeon's research has been published in notable journals such as Decision Support Systems

    International Journal of Operations & Production Management

    Journal of the Association for Information Science and Technology

    Knowledge & Process Management

    Journal of Electronic Commerce Research

    and Journal of Organizational Computing and Electronic Commerce

    and presented in conferences such as Americas Conference on Information Systems

    Decision Sciences Institute Annual Meeting

    IEEE International Conference

    and Production and Operations Management Society Annual Meeting. He is an active reviewer of journals such as Journal of Organizational Computing and Electronic Commerce and Journal of Electronic Commerce Research and of conferences like ICIS

    AMCIS

    CIST and PACIS. His research has attracted hundreds of full-text downloads. Before coming to United States

    he worked as project manager

    senior analyst

    and department manager in a leading market research and consulting company in Beijing

    China.\n\nHe is very grateful to connect and exchange insight with all professionals in the fields of data analytics

    open innovation

    knowledge management

    e-business

    supplier development

    and any others.

    Liang (Leon)

    Chen

    University of Kentucky

    Miami University

    West Texas A&M University

    Beijing SINO Market Research Ltd.

    GfK

    Oxford

    Ohio

    Visiting Assistant Professor of Information Systems & Analytics

    Miami University

    Doing emerging research and teaching interesting courses.

    PhD student & Teaching Assistant

    Lexington

    Kentucky Area

    University of Kentucky

    West Texas A&M University

    GfK

    Beijing City

    China

    •\tWorking as Dept. Manager & Senior Analyst at Beijing SINO Market Research Ltd. GfK Group. \n•\tManaging the department of mobile communication research \n•\tProviding market research and consulting services in the telecommunication industry \n•\tProducing yearly revenue of around 1 million dollars \n•\tClients include China Mobile

    China Unicom

    China Telecom

    Nokia

    Samsung

    Lenovo

    etc.

    Dept. Manager & Senior Analyst

Possible Matching Profiles

The following profiles may or may not be the same professor:

Possible Matching Profiles

The following profiles may or may not be the same professor:

  • Liang Cheng (80% Match)
    Faculty/Instructor
    Indiana University - Indiana University

  • Guangliang Chen (80% Match)
    Instructional Faculty
    California State University - California State University

  • Shuliang Chen (80% Match)
    Assistant Project Scientist
    University Of California - University Of California

  • Liang Chen (80% Match)
    Associate Professor
    University Of Georgia - University Of Georgia

  • Chiliang Chen (80% Match)
    Associate Scientist
    Iowa State University - Iowa State University

  • Hsinliang Chen (80% Match)
    Associate Dean
    University of Massachusetts Boston - University Of Massachusetts System (ums)

  • Fangliang Chen (80% Match)
    Adjunct Assistant Professor
    Borough of Manhattan Community College - Community College (manhattan)

  • Hongliang Chen (80% Match)
    Graduate Teaching Assistant
    Texas A&M University - Texas A&m University

  • Zhangliang Chen (80% Match)
    Enhanced Graduate Teaching Assistantship
    University Of Texas At Arlington - University Of Texas At Arlington

  • Chun-Liang Chen (80% Match)
    Assistant Professor/Research
    University Of Texas Health Science Center At San Antonio - University Of Texas Health Science Center At San A

  • Liang Chen (80% Match)
    Assistant Professor
    West Texas A&M University - West Texas A&m University

  • Liang Chen (80% Match)
    Post Doctoral Associate
    George Mason University - George Mason University

  • Liangliang Chen (80% Match)
    Research Associate
    University Of Washington - University Of Washington

online

CIDM 6308

3(9)

online

ECON 6308

2.3(3)

online

CIDM 6355

5(1)