Evaluating the First-Mover's Advantage in Announcing Real-Time Delay Information

Singh, Siddharth Prakash; Delasay, Mohammad; Scheller‐Wolf, Alan

doi:10.2139/ssrn.3081583

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…The analysis concludes that, while the observable queue attracts higher market share in equilibrium, the unobservable queue can close the gap by disclosing real-time delay information. In a recent study, Singh et al [75] consider the competition between two asymmetric service providers, and address the questions of whether one of the service providers should make the first move in disclosing delay information, and whether the other should respond. They find that information disclosure could be more beneficial for lowcapacity servers than for those with surplus capacity.…”

Section: Smart Parkingmentioning

confidence: 99%

Enabling Smarter Cities with Operations Management

Mak

2022

M&SOM

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Recent development of new technologies and data analytics has unleashed the so-called smart city (SC) movement, which has been transforming the ways that cities (and their services) operate. This movement is in line with the operations management (OM) community’s pursuit of innovative research questions, and part of our community has already started working on this exciting area of SC OM. In this article, we shall discuss (i) the potential contribution that OM can make to the SC movement, that is, how OM research may help inform discussion and decision making in the public and private sectors. In particular, the core principle of making cities smarter is in line with the OM literature. We then discuss (ii) how and why SC operations can be an interesting topic that possibly expands the scope and depth of OM theory, through drawing links to the existing and new streams of OM literature. Finally, we present (iii) a few promising research directions and examples, in domains such as energy, transportation (mobility), and retail.

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Section: Smart Parkingmentioning

confidence: 99%

Enabling Smarter Cities with Operations Management

Mak

2022

M&SOM

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“…For yet another example, unobservable heterogeneity in customer types (reward from service and waiting cost) can be managed by the announcements to lead to increased profits [91]. For a last example, the heterogeneity in service capacities, between two competing service providers, makes sharing real-time delay information beneficial, for both market share and operational performance, for the low-capacity firm [75].…”

Section: A Bird's Eye View: Key Insightsmentioning

confidence: 99%

“…The papers above focus on a setting with a single provider. Singh et al [75] consider a competitive environment with two service providers instead. These providers may choose to diffuse different levels of information, either real-time or historical.…”

Section: To Reveal or Not To Reveal? Observable Versus Unobservable Qmentioning

confidence: 99%

Sharing delay information in service systems: a literature survey

Ibrahim

2018

Queueing Syst

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Service providers routinely share information about upcoming waiting times with their customers, through delay announcements. The need to effectively manage the provision of these announcements has led to a substantial growth in the body of literature which is devoted to that topic. In this survey paper, we systematically review the relevant literature, summarize some of its key ideas and findings, describe the main challenges that the different approaches to the problem entail, and formulate research directions that would be interesting to consider in future work.

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Effects of waiting time information on the performance of a two-tier service system

Kim

Springer

2023

Journal of the Operational Research Society

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Evaluating the First-Mover's Advantage in Announcing Real-Time Delay Information

Cited by 5 publications

References 29 publications

Enabling Smarter Cities with Operations Management

Enabling Smarter Cities with Operations Management

Sharing delay information in service systems: a literature survey

Effects of waiting time information on the performance of a two-tier service system

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