Academic literature on the topic 'Purchasing Purchasing agents. Group decision making'
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Journal articles on the topic "Purchasing Purchasing agents. Group decision making"
Ahmadi, Abbas, Mehdi Heydari, Mir Saman Pishvaee, and Ebrahim Teimoury. "Multi-level decision making for chain stores including GPOs (group purchasing organizations)." Computers & Operations Research 135 (November 2021): 105433. http://dx.doi.org/10.1016/j.cor.2021.105433.
Full textNagyová, Ľudmila, Andrej Géci, and Elena Horská. "Consumer preferences and decision-making determinants for the purchase of sheep's milk and its products." Potravinarstvo Slovak Journal of Food Sciences 14 (August 28, 2020): 673–81. http://dx.doi.org/10.5219/1424.
Full textFrency, Ng Sau Fun, Hui Chi Leung Patrick, and Choy Lin Foong May. "Selecting and Purchasing Clothing: The Experience of Visually Impaired People in Hong Kong." Journal of Visual Impairment & Blindness 94, no. 1 (January 2000): 34–41. http://dx.doi.org/10.1177/0145482x0009400105.
Full textRodriguez, Jenny Milena Moreno, Takanni Hannaka Abreu Kang, Eduarda Asfora Frej, and Adiel Teixeira de Almeida. "Decision-making in the purchase of equipment in agricultural research laboratories: a multiple-criteria approach under partial information." Decision Science Letters 10, no. 4 (2021): 451–62. http://dx.doi.org/10.5267/j.dsl.2021.7.004.
Full textArdley, Barry, Jialin Hardwick, Lauriane Delarue, and Nick Taylor. "Mobile Phone Purchasing and Brand Presence on Facebook." International Journal of Online Marketing 6, no. 2 (April 2016): 18–33. http://dx.doi.org/10.4018/ijom.2016040102.
Full textHartono, Budi, Hari Dwi Utami, and Nova Amanatullaili. "Analisis Faktor - Faktor yang Mempengaruhi Konsumen dalam Membeli Produk Susu Pasteurisasi Kabupaten Kudus (Analysis of Factors Influence Consumer’s Purchasing of Pasteurization of Milk at District Kudus)." Buletin Peternakan 34, no. 2 (February 21, 2012): 123. http://dx.doi.org/10.21059/buletinpeternak.v34i2.98.
Full textJunaid, Abdullah Bin, and Faheem Ahmed . "A Study on the Purchase Behavior and Cosmetic Consumption Pattern among Young Females in Delhi and NCR." Journal of Social and Development Sciences 4, no. 5 (May 30, 2013): 205–11. http://dx.doi.org/10.22610/jsds.v4i5.753.
Full textFuller, Helen J. A., Nancy J. Lightner, Kyle D. Maddox, Hasan Shanawani, Tandi Bagian, and Robin Hemphill. "Purchasing for Safety: A Human Factors-Influenced Procedure for Evaluating Medical Products." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 6, no. 1 (May 15, 2017): 118–24. http://dx.doi.org/10.1177/2327857917061027.
Full textKoca, Emine, and Fatma Koc. "A Study of Clothing Purchasing Behavior By Gender with Respect to Fashion and Brand Awareness." European Scientific Journal, ESJ 12, no. 7 (March 30, 2016): 234. http://dx.doi.org/10.19044/esj.2016.v12n7p234.
Full textHui, Feng, Piang-or Loahavilai, Nopasit Chakpitak, and Tirapot Chandarasupsang. "Citespace Knowledge Gap Analysis in Asia Duty Free Tourism Purchasing Behavior." International Journal of Knowledge Engineering 7, no. 1 (2021): 1–7. http://dx.doi.org/10.18178/ijke.2021.7.1.133.
Full textDissertations / Theses on the topic "Purchasing Purchasing agents. Group decision making"
Stoddard, James E. "The effect of group influence on organizational buying." Diss., This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-03042009-041233/.
Full textRubil, Dijana, and Caroline Schöld. "The influence of and interaction between socialization agents in the child-consumers purchasing process." Thesis, Jönköping University, JIBS, EMM (Entrepreneurship, Marketing, Management), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-13096.
Full textIn several years researchers have focused on identifying different socialization agents that influence the child consumer in the purchasing process. These studies have identified parents, friends and peers, television, role models, and different virtual communities as socialization agents. However, there is still no understanding of how the socialization agents are integrated in the decision-making process.
The purpose is therefore to identify how the child-consumers are influenced by different sources in their decision-making process, and recognise the socialization agents’ interaction as influencers.
The authors have found that there is a continuous interaction between the socialization agents in the decision-making process. The socialization agents, such as parents, siblings, friends and peers, television, role models and virtual communities, separately influence the adolescents in the purchasing process, however, the adolescents do not only take into consideration the opinion of one socialization agent but rather they use all of them. The authors have also found that the socialization agents act as support systems to other socialization agents, this in both influence and credibility.
Chen, Jia-Shi, and 陳家世. "Young Group Decision Making in Smartphone Purchasing Preferences." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/87984436054624471862.
Full text嶺東科技大學
行銷與流通管理系碩士班
103
In recent years, smart phones have changed the way people live; it has become a necessity in our daily lives. Since smart phones are booming gradually into fashion, handset manufacturers are trying to increase their product differentiation, in addition to strengthen the physical properties of the product continuously. Smart phones also provide an additional features or wealth. Between different brands, how consumers opt to vote and the elaboration of an effective marketing strategy is a worthy discussion. This study focus on young group decision making in smartphone purchasing preferences. In this study, research objects are consumers of 18 to 34 years old. 210 questionnaires were given and 198 copies returned. There are 118 valid questionnaires. The joint analysis, cluster analysis, and empirical results obtained of this study are as followed: In this study, conjoint analysis is combined with lifestyle segmentation of young group’s decision making in smartphone purchasing preferences separation, there are three clusters: First, the group that takes the initiative to participate: This group of consumers judge mostly on the brand. Male consumers show preference for fashion and their buying decisions do not follow their preference blindly. They show the extent of the positive curiosity towards the products and will take the initiative to absorb new information from time to time. If the smart phone manufacturers were to get this group of consumers. They must continue to enhance the brand image in order to increase the degree of trust in customers who love the brand. Second, the conscious group: This young group of consumers age from 31 to 34 years old. Younger female consumers are more significant among this group; this group of consumer attributes preferences more on the prices of the products. Therefore the most practical value of the product is offered by the entity and product prices. Third, the outgoing leading group: Based mostly on female consumers, aged 18 to 24 years. Tis cluster of lively, outgoing and opinion leaders influence others to buy a cell phone, but also become a reputation heritage object. Careful planners and outgoing leader group have very high price sensitivity. The smart phone manufacturers can take advantage of promotion and other marketing practices to get in contact with this group of consumers. The results of this study combined the description and demographics of each cluster to help smartphone manufacturers in the future. For STP market segmentation purposes, to communicate with target consumers more accurately. Keywords: Smart Phone、Product Attributes、Conjoint analysis、Cluster Analysis
龔凡怡. "Analysis of Family Group Decision Making Behavior in House Purchasing -An Application of Grounded Theory." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/48793563322160569513.
Full text國立交通大學
交通運輸研究所
96
Although the study of family group decision making behavior has been ongoing for nearly forty years; however, the decision making courses are often ignored. Most of papers have been focusing on quantitatively how influential are the family members to the decision maker and analysis of attribute preferences which lead to insufficient amount of knowledge on the courses of decision. Hence, purpose of this paper is to discuss family group decision making behavior in house purchasing by using grounded theory, hopes to give a comprehensive framework to provide a solid background for potential follow up researches. In this paper, fourteen household owners were interviewed. With the various purchasing experiences, this research surveyed ninety-six open codes which were further categorized into six axial codes; finally a selecting code “decision courses” was established. With the selecting code, which linked and described the relationship between the axial codes, this paper evidently illustrated the model of family group decision making behavior.
Mao, Yen-Sen, and 毛彥森. "The Impact of Purchasing Motives, Consumer Decision-Making Style, Online Word-of-Mouth and Herding Behavior on Purchase Intentions of Internet Group Buying Marketing." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/5e3j9t.
Full text遠東科技大學
行銷與流通管理系碩士班
103
According to the statistics of Institute for Information Industry, the market of Taiwan’s online shopping is about 660 billion in 2012, online group buying accounted for 32.5% and continued to grow each year. With the diversification of choice, how to attract more consumers to consume on the site that has become an important issue and can not be ignored. In this study, we chose the consumers who had been involved in the online group buying was our object. To examine the impact of purchase motivation, consumer decision-making style, electronic word of mouth and conformity behavior on purchase intentions of online group buying, and used Likert’s 5-point scale to collect questionnaire data, and then, by statistical methods to explore purchase motivation whether there is significant impact on conformity behavior and purchase intentions of online group buying, consumer decision-making style whether there is significant impact on conformity behavior and electronic word-of-mouth whether there is significant impact on conformity behavior and purchase intentions of online group buying, conformity behavior whether there is significant impact on purchase intentions of online group buying. The results show that: (1) Purchase motivation has a significant positive impact on the conformity behavior, (2) Partially existence: consumer decision-making style has a significant impact on the conformity behavior, (3) Partially existence: consumer decision-making style has a significant impact on the electronic word-of-mouth, (4) Electronic word-of-mouth has a significant positive impact on the conformity behavior, (5) Purchase motivation has a significant positive impact on thepurchase intentions of online group buying, (6) Conformity behavior has a significant positive impact on the purchase intentions of online group buying, and (7) Electronic word-of-mouth has a significant positive impact on the purchase intentions of internet group buying marketing. The results can be provided to industry as a reference to the relevant of the decisions.
Books on the topic "Purchasing Purchasing agents. Group decision making"
Reid, David A. Examining the dynamics of group decision making in buying centers. 1987.
Find full textBook chapters on the topic "Purchasing Purchasing agents. Group decision making"
Ardley, Barry, Jialin Hardwick, Lauriane Delarue, and Nick Taylor. "Mobile Phone Purchasing and Brand Presence on Facebook." In Brand Culture and Identity, 643–60. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7116-2.ch035.
Full textCheng, V., J. Rhodes, and P. Lok. "The Relationship between Online Reviews, Brand Trust, and Willingness to Buy." In Advances in E-Business Research, 139–61. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8133-0.ch007.
Full textBoyce, Gordon. "The 1890s: Furness Withy's Expansion by Acquisition and Promotion." In The Growth and Dissolution of a Large-Scale Business Enterprise, 35–54. Liverpool University Press, 2012. http://dx.doi.org/10.5949/liverpool/9780986497391.003.0003.
Full textZhang, Aimao, and Han Reichgelt. "Product Complexity as a Determinant of Transaction Governance Structure." In Advances in Electronic Commerce, 40–54. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-822-2.ch003.
Full textWalton, Christopher. "Practical reasoning and deductive agents." In Agency and the Semantic Web. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780199292486.003.0010.
Full textSahu, Anoop Kumar, Atul Kumar Sahu, and Nitin Kumar Sahu. "Benchmarking of Advanced Manufacturing Machines Based on Fuzzy-TOPSIS Method." In Theoretical and Practical Advancements for Fuzzy System Integration, 309–50. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1848-8.ch012.
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