Ranked Items Auctions and Online Advertisement

Feng, Juan; Shen, Zuo‐Jun Max; Zhan, Roger L.

doi:10.1111/j.1937-5956.2007.tb00276.x

Cited by 25 publications

(22 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The remaining three papers focus on three different issues in forward auctions that include: ranked items (Feng et al 2007), collusive behavior (Sosic 2007), and impatient bidders (Kwasnica and Katok 2007). Feng et al (2007) and Sosic (2007) use analytical models whereas Kwasnica and Katok (2007) use a simulation study. (2007) Caplice (2007) academic survey of bidders' behavior in forward auctions and suggest the following topics for further investigation: (1) the impact of customers' entry time in the auction process, (2) evaluation of the assumptions about the distribution of customers' valuations, (3) the impact of the number of units offered in each round of bidding, (4) transparency of the information to the bidders in multiple auctions, and (5) the effect of customers' learning phenomenon in multiple auctions.…”

Section: Forward Auctionsmentioning

confidence: 99%

E‐Business: A Review of Research Published in Production and Operations Management (1992–2008)

Gupta¹,

Koulamas²,

Kyparisis³

2009

Production and Operations Management

View full text Add to dashboard Cite

W e review, classify, consolidate, and synthesize the contributions to the expanding field of e-business that have been published in Production and Operations Management. We classify e-business research in the following four categories: (1) e-auctions, (2) radio frequency identification, (3) e-business system design, and (4) competition, conflict, collaboration, and coordination (C 4 in e-business). We identify important research themes, research methodologies, and research techniques within each of these categories. We also provide directions for future research and discuss the managerial implications of the e-business research reported in our paper.

show abstract

Section: Forward Auctionsmentioning

confidence: 99%

E‐Business: A Review of Research Published in Production and Operations Management (1992–2008)

Gupta¹,

Koulamas²,

Kyparisis³

2009

Production and Operations Management

View full text Add to dashboard Cite

show abstract

“…The problem of dynamic pricing of Web contents was studied where revenue was generated from the subscription fees and advertisements (Kumar and Sethi, ). The auction model to determine the priorities of listing in searching results was presented to examine the firm's optimal bidding strategy (Lim and Tang, ; Feng et al , ).…”

Section: Operations Research Applications In Different Service Industmentioning

confidence: 99%

Operations Research (OR) in Service Industries: A Comprehensive Review

Xing

et al. 2013

Syst. Res.

View full text Add to dashboard Cite

The share of gross domestic product from the service industry reflects the competitiveness of a nation; the service industry in the USA accounts for around 80% of its gross domestic product, and it has been increasing gradually. Continual innovations and advances in enabling technologies for the service industry are crucial for developed countries to sustain their leading positions in the globalized economy. To clarify future research directions of operations research (OR) in the service industry, the state of art of OR has been examined systematically, the new requirements of OR are identified for its applications in service industries in comparison with those in manufacturing industries, and the limitations of existing methodologies and tools have been discussed. This paper was intended to provide an updated review on how OR has been applied in the service sector in recent years and what directions the study of OR will be carried forward in the near future. Under a proposed research framework, recent OR-related articles were collected from 17 leading OR journals and classified into the five most active sectors, that is, transportation and warehousing, information and communication, human health and social assistance, retails and wholesales, and financial and insurance services. The conclusions on the limitations of existing studies and the demanding ORs in the service have been drawn from our summaries and observations from a comprehensive review in this field.

show abstract

“…GSP is attractive to search engines because it helps to maximize profit. In addition, Feng et al [9] developed a simultaneous pooled auction (SPA) mechanism and showed that using reserve price in SPA significantly increased a search engine's revenue.…”

Section: Advertising Allocation Mechanismsmentioning

confidence: 99%

Combining Keyword Search Advertisement and Site- Targeted Advertisement in Search Engine Advertising

Chen

2008

JSSM

View full text Add to dashboard Cite

Internet advertising has seen a strong growth in recent years and search engine advertising has played an important role in that growth. Search engines continue to expand their business by providing new options of advertising. For ex-ample, Google provides a new advertisement mechanism based on cost-per-thousand-impression (CPM) payment called “site-targeted advertisement” in addition to the famous “keyword search advertisement” based on cost-per-click (CPC). While keyword search advertisement is a cost-efficient way of advertising, site-targeted advertisement provides a quicker alternative to expose the ad to a mass population at a higher expense. This paper studies a mixed strategy of optimization by combining these mechanisms to exploit their corresponding advantages. We set up a general model to find optimal starting and ending times for both methods. Closed-form solutions are calculated for two applications: (1) Advertising of perishable information with click-based revenue only; and (2) Site-targeted advertisement first and key-word search advertisement last. Comparative static analysis provides an analysis of properties of each application. We also develop a computational experiment based on Google AdWords to illustrate the application of the model

show abstract

Ranked Items Auctions and Online Advertisement

Cited by 25 publications

References 20 publications

E‐Business: A Review of Research Published in Production and Operations Management (1992–2008)

E‐Business: A Review of Research Published in Production and Operations Management (1992–2008)

Operations Research (OR) in Service Industries: A Comprehensive Review

Combining Keyword Search Advertisement and Site- Targeted Advertisement in Search Engine Advertising

Contact Info

Product

Resources

About