Strategic Vender Selection Criteria
Author(s) -
Chun-Ying Shen,
Kun-Tzu Yu
Publication year - 2013
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2013.05.045
Subject(s) - computer science , selection (genetic algorithm) , process management , artificial intelligence , business
upplier selection (VS) is a decision-making problem involving strategic management. The criteria and importance weights of VS must be carefully selected to meet supply chain competitive strategies. Most existing VS models use the perspectives of buying firms to formulate VS criteria. This study investigates 108 valid respondents, comprising 52 and 56 functional staff from buyer and supplier firms, respectively, regarding the importance weights of VS criteria under four operations strategies. The variance weighting method is employed to calculate and categorize the individual importance weights. This study derives exploratory explanations then by conducting in-depth interviews with 12 functional managers focused on two-side divergent views of VS criteria. This study discusses derived applications of Herzberg's two-factor theory and the supplier integration approach to mitigate the influences of the widely used explicit operational criteria in the existing VS model
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom