Nianxin Wang

Strategy and Management · 2012–2018

A researcher in the Science corpus: 5 papers; trusts 43 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Nianxin Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. T. Ravichandran
  2. David G. Sirmon
  3. Philip M. Podsakoff
  4. Richard Makadok
  5. Zhining Wang
  6. Scott B. MacKenzie
  7. Hsiu-Fen Lin
  8. Chieh-Peng Lin
  9. Michael K. Lindell
  10. Henry E. Newkirk

Who trusts Nianxin Wang overall

  1. Zhining Wang
  2. Adam Ryszko
  3. Patrick Mikalef
  4. Ciro Troise
  5. Huigang Liang
  6. Kaveh Asiaei
  7. Shaohan Cai
  8. John Krogstie
  9. Shivam Gupta
  10. V. Corvello

Papers from Nianxin Wang's perspective

Ordered by how strongly the researchers Nianxin Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
  2. Toward a synthesis of the resource‐based and dynamic‐capability views of rent creation
  3. A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation (MIS Q.)
  4. Specifying Formative Constructs in Information Systems Research (MIS Q.)
  5. Recent Advances in Causal Modeling Methods for Organizational and Management Research
  6. Shaping Agility through Digital Options: Reconceptualizing the Role of Information Technology in Contemporary Firms (MIS Q.)
  7. A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research
  8. Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice (MIS Q.)
  9. Accounting for common method variance in cross-sectional research designs. (Journal of Applied Psychology)
  10. Information Technology and the Performance of the Customer Service Process: A Resource-Based Analysis (MIS Q.)

Their papers