Jinn-Tsair Teng

Management Information Systems · 2001–2016

A researcher in the Science corpus: 13 papers; trusts 10 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Jinn-Tsair Teng trusts overall

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

  1. Yung-Fu Huang
  2. Chun-Tao Chang
  3. Liang-Yuh Ouyang
  4. Suresh Kumar Goyal
  5. Kun-Jen Chung
  6. Jui‐Jung Liao
  7. Prakash L. Abad
  8. Bibhas Chandra Giri
  9. Chung-Yuan Dye
  10. Kuang-Hua Hsu

Who trusts Jinn-Tsair Teng overall

  1. Chun-Tao Chang
  2. Hardik N. Soni
  3. Monique Bakker
  4. Maw-Sheng Chern
  5. Liang-Yuh Ouyang
  6. Ata Allah Taleizadeh
  7. Leopoldo Eduardo Cárdenas-Barrón
  8. Jiang Wu
  9. Mei-Chuan Cheng
  10. Vinod Kumar Mishra

Papers from Jinn-Tsair Teng's perspective

Ordered by how strongly the researchers Jinn-Tsair Teng trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A joint approach for setting unit price and the length of the credit period for a seller when end demand is price sensitive
  2. Recent trends in modeling of deteriorating inventory (European Journal of Operational Research)
  3. An EOQ model with noninstantaneous receipt and exponentially deteriorating items under two-level trade credit
  4. Inventory ordering policies of delayed deteriorating items under permissible delay in payments
  5. Production, Manufacturing and Logistics Economic order quantity under conditionally permissible delay in payments
  6. THE OPTIMAL ORDERING POLICY IN A DCF ANALYSIS FOR DETERIORATING ITEMS WHEN TRADE CREDIT DEPENDS ON THE ORDER QUANTITY
  7. Optimal lot size for a perishable good under conditions of finite production and partial backordering and lost sale
  8. Inventory model with stock-level dependent demand rate and variable holding cost
  9. The effect of preservation technology investment on a non-instantaneous deteriorating inventory model
  10. Economic order quantity model with trade credit financing for non-decreasing demand

Their papers