Template-Type: ReDIF-Article 1.0 Author-Name: Hari Sowrirajan Author-X-Name-First: Hari Author-X-Name-Last: Sowrirajan Author-Name: George Wang Author-X-Name-First: George Author-X-Name-Last: Wang Title: A dynamic pricing model for carbon-aware compute clusters Abstract: The rising demand for compute services has led to a proliferation of data centres (computer clusters), resulting in a significant environmental footprint as over 1.5% of the global power supply is consumed. In this work, we propose an incentive-compatible pricing mechanism for cloud computing providers that automatically promotes customers to submit jobs in a carbon-aware fashion. To demonstrate the efficacy of the mechanism, we have developed a power model and a job submission model to simulate the operation of compute clusters. We also employ auction theory to incorporate cluster parameterisation into a pricing mechanism. With this mechanism, strong utilisation of renewable energy and high utility for customers can be achieved by appropriately allocating high/low-priority jobs, both for synthetic as well as real-life workloads. Our work provides a possible solution, with environmental and financial benefits, for cloud computing providers who seek to minimise their carbon footprint while gaining a competitive advantage by passing the energy savings to their customers. Journal: Int. J. of Revenue Management Pages: 217-237 Issue: 4 Volume: 13 Year: 2023 Keywords: pricing mechanisms; computerisation; auction theory; data centre management; renewable energy; cloud computing. File-URL: http://www.inderscience.com/link.php?id=134672 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:13:y:2023:i:4:p:217-237 Template-Type: ReDIF-Article 1.0 Author-Name: Mercedes Gaitán-Angulo Author-X-Name-First: Mercedes Author-X-Name-Last: Gaitán-Angulo Author-Name: Melva Inés Gómez-Caicedo Author-X-Name-First: Melva Inés Author-X-Name-Last: Gómez-Caicedo Author-Name: Anderson Quintero Author-X-Name-First: Anderson Author-X-Name-Last: Quintero Author-Name: Juan Antonio Marmolejo Martín Author-X-Name-First: Juan Antonio Marmolejo Author-X-Name-Last: Martín Author-Name: Hasbleidy Camila Parra Méndez Author-X-Name-First: Hasbleidy Camila Parra Author-X-Name-Last: Méndez Author-Name: Carlos Yesid Briñez Torres Author-X-Name-First: Carlos Yesid Briñez Author-X-Name-Last: Torres Title: Innovation and efficiency in Latin American countries: a study of the impact and applied evolution of neural networks Abstract: The relationship between the indicators that measure innovation and efficiency in Latin America is of vital importance, as it allows for the acquisition of valuable information for the implementation of strategies that promote development in the region. The main contribution of this work is to identify the constructs that enhance the innovative characteristics of these Latin American countries before the world. The relevant characteristics were identified according to the Global Innovation Index data from 2013 to 2020. We used principal component analysis, and then a simulation is performed from 2021 to 2030 using neural networks, which allows us to identify better innovative policies based on the region's resources focused on its socio-economic structure. Among the main findings, we find that the region's best performance is concentrated in the following pillars: institutions and infrastructure and knowledge and technology products. However, problems are evident in human capital formation, market satisfaction, business satisfaction and creative production. Journal: Int. J. of Revenue Management Pages: 257-280 Issue: 4 Volume: 13 Year: 2023 Keywords: innovation; knowledge management; Global Innovation Index; GII; Latin America; neural networks. File-URL: http://www.inderscience.com/link.php?id=134677 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:13:y:2023:i:4:p:257-280 Template-Type: ReDIF-Article 1.0 Author-Name: Naresh Sachdev Author-X-Name-First: Naresh Author-X-Name-Last: Sachdev Author-Name: Kawal Nain Singh Author-X-Name-First: Kawal Nain Author-X-Name-Last: Singh Title: FinTech literacy and lending among micro steel enterprises in Punjab, India Abstract: The purpose of the study is to understand the perception held by micro steel enterprises in Punjab, India towards the role played by the use of FinTech in it. The study is quantitative in nature. A total of 400 micro steel enterprises have been approached from the state of Punjab. Here the statistical analyses including chi-square tests, principal component analysis, multiple linear regression and one-way ANOVA is used. The primary objective of this research was to present a comprehensive analysis of micro steel enterprises and their perceptions on the latest phenomenon introduced to business by the use of FinTech. The purpose of this study is to determine whether or not these businesses are aware of FinTech's availability as a technology aid to funding sources. The study is a novel attempt to understand the micro steel enterprises in the Punjab and its perception towards the use of FinTech. Journal: Int. J. of Revenue Management Pages: 281-296 Issue: 4 Volume: 13 Year: 2023 Keywords: micro; steel; FinTech; enterprises; finance; micro small and medium enterprises; MSME; India. File-URL: http://www.inderscience.com/link.php?id=134681 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:13:y:2023:i:4:p:281-296 Template-Type: ReDIF-Article 1.0 Author-Name: Prabhupad Bharadwaj Author-X-Name-First: Prabhupad Author-X-Name-Last: Bharadwaj Author-Name: Sunitha Chandrasekaran Author-X-Name-First: Sunitha Author-X-Name-Last: Chandrasekaran Author-Name: Sanjeeb Patel Author-X-Name-First: Sanjeeb Author-X-Name-Last: Patel Title: Corporate booking recommendation using a machine learning approach Abstract: Corporate globalisation has led to a significant increase in business travel in recent years, and large corporations use travel management agencies to provide a hassle-free experience for their employees. Using historical airline corporate booking data, this study examines the travel patterns of corporate clients. In the research, one year of corporate travel booking data is evaluated, and prediction algorithms are utilised to recommend itineraries to business travellers for a specific origin-destination pair with numerous combinations. A boosting method is used to anticipate booking and non-booking events based on a prediction probability threshold value. The results indicate that the origin-destination (OD) pair and the airline of travel are the most important aspects of corporate booking selection. The choice probability is further used for recommending a few combinations for a selected OD pair which is a practical application of this analysis. Journal: Int. J. of Revenue Management Pages: 297-316 Issue: 4 Volume: 13 Year: 2023 Keywords: corporate booking; travel management; prediction algorithms; boosting; recommendation; choice probability. File-URL: http://www.inderscience.com/link.php?id=134682 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:13:y:2023:i:4:p:297-316 Template-Type: ReDIF-Article 1.0 Author-Name: M. Dhivya Lakshmi Author-X-Name-First: M. Dhivya Author-X-Name-Last: Lakshmi Author-Name: A. Akilbasha Author-X-Name-First: A. Author-X-Name-Last: Akilbasha Title: Enhancing an EPQ model for decaying items with ramp type time-reliant demand rate and partially stockpiled Abstract: A class of an economic production quantity (EPQ) model for decaying products is established in this article. In the propounded model, the rate of demand is exponentially time varying ramp type and the manufacturing rate is a combination of stock on hand and demand rate. Deterioration follows a Pareto distribution and shortages are granted and partially backlogged. The total inventory cost, cycle time, production times, consumption time and shortage time are optimised. This study incorporates a few traits that appear to have a connection with specific forms of stock, such as stockpiles of freshly released automobiles, the automobile sector, and so on. An analytical demonstration is shown for depicting the proposed model. Sensitivity analysis is accomplished regarding each one of the model parameters. Journal: Int. J. of Revenue Management Pages: 238-256 Issue: 4 Volume: 13 Year: 2023 Keywords: EPQ model; partial backlogging; Pareto deterioration; ramp type demand rate; sensitivity analysis; total inventory cost. File-URL: http://www.inderscience.com/link.php?id=134684 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:13:y:2023:i:4:p:238-256 Template-Type: ReDIF-Article 1.0 Author-Name: Leenu Anand Author-X-Name-First: Leenu Author-X-Name-Last: Anand Author-Name: Swati Gupta Author-X-Name-First: Swati Author-X-Name-Last: Gupta Author-Name: Sanjay Gupta Author-X-Name-First: Sanjay Author-X-Name-Last: Gupta Title: Prioritising the requisite skills possessed by revenue managers of the hospitality industry: an analytic hierarchy process approach Abstract: The main purpose of this study is to prioritise and identify the most required skill of a revenue manager as per the skill set defined by the Singapore Workforce Development Agency (SWDA) 2016 when applied to the Indian hotel industry. A set of skills was selected based on an extensive literature review and discussions carried out with the human resource managers and revenue managers from various business organisations. The present study is an attempt to identify the hierarchical structure of the skills expected of a revenue manager in the hospitality industry in India. Among the selected set of 12 skills, results of AHP ranked leadership, communication, negotiation, planning and implementation, and analytical, conceptual, and evaluative skills as the top five required skills of a revenue manager's skill set. The coverage of the study is limited to analysis of responses obtained from managers working in luxury hotels having chains in India. Journal: Int. J. of Revenue Management Pages: 125-143 Issue: 3 Volume: 13 Year: 2023 Keywords: competitiveness; revenue management; analytical hierarchical process; AHP. File-URL: http://www.inderscience.com/link.php?id=130745 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:13:y:2023:i:3:p:125-143 Template-Type: ReDIF-Article 1.0 Author-Name: Dhandabani Srinivasan Author-X-Name-First: Dhandabani Author-X-Name-Last: Srinivasan Author-Name: R.K. Amit Author-X-Name-First: R.K. Author-X-Name-Last: Amit Author-Name: Wen-Chyuan Chiang Author-X-Name-First: Wen-Chyuan Author-X-Name-Last: Chiang Title: Air cargo revenue management: a state-of-the-art review Abstract: In addition to serving high-value-to-weight goods, the air cargo market is expanding substantially mainly because of globalisation and the need for increased responsiveness in supply chains. At the same time, the theory of air cargo revenue management is far from the contemporary practices because of cargo-specific complexities like uncertain, multidimensional capacities, variable tendering, and forwarder's market power. This paper surveys the scientific contributions relevant to air cargo revenue management. We provide a comprehensive review of the developments in both quantity and pricing revenue management decisions. Additionally, we substantiate each decision with the appropriate dynamic programming formulation, which helps in highlighting the extensions to the current literature. We conclude our discussion by enumerating the potential prospects that are great revenue-yielding opportunities. This review links theoretical contributions and practical problems and serves as the signpost for the 30-year-old air cargo revenue management. Journal: Int. J. of Revenue Management Pages: 144-165 Issue: 3 Volume: 13 Year: 2023 Keywords: air cargo industry; revenue management; quantity and pricing decisions; dynamic programming. File-URL: http://www.inderscience.com/link.php?id=130752 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:13:y:2023:i:3:p:144-165 Template-Type: ReDIF-Article 1.0 Author-Name: Devendra Singh Author-X-Name-First: Devendra Author-X-Name-Last: Singh Author-Name: Sri Vanamalla Venkataraman Author-X-Name-First: Sri Vanamalla Author-X-Name-Last: Venkataraman Title: Nash equilibrium computation in airline frequency game Abstract: In many situations, airlines compete for frequency of services which they offer along flight legs due to the limited capacity of airports. In this paper, we study a frequency game in which two airlines offer services along two flight legs. Demand on one leg is considered to be low, while on the other leg demand is considered to be high. We determine the Nash equilibrium strategies of the flight frequency of each of the airlines along each of these legs. In developing countries, there is a need to introduce and promote services along the low demand leg to achieve better connectivity. Our objective is to increase airline connectivity and hence this study aims at analysing the policy of frequency restrictions as a measure to increase flight operations on low demand legs. We study the impact of such frequency restrictions on Nash equilibrium strategies. Our results show that these restrictions increase the number of flight operations on the low demand leg. Journal: Int. J. of Revenue Management Pages: 166-186 Issue: 3 Volume: 13 Year: 2023 Keywords: frequency competition; Nash equilibrium; regional airline connectivity. File-URL: http://www.inderscience.com/link.php?id=130756 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:13:y:2023:i:3:p:166-186 Template-Type: ReDIF-Article 1.0 Author-Name: K.R. Ramkishore Author-X-Name-First: K.R. Author-X-Name-Last: Ramkishore Title: Optimal finite horizon bargaining mechanisms with refusal cost Abstract: This paper considers a bargaining problem under asymmetric information between a seller and multiple buyers for selling given perishable items over a finite period. It is assumed that the seller faces a refusal cost if the item does not get sold. The problem is modelled as a Markov decision process that endogenises the marginal inventory valuation of the seller. This paper compares four bilateral bargaining mechanisms namely seller posting price, buyer posting price, difference splitting between seller's and buyer's valuation, and negotiation. For low refusal cost, the seller prefers posting price and splitting the difference between both valuations when he is in strong and weak positions, respectively. For high cost, the seller is indifferent between negotiation and buyer's posting. Also, this paper compares bargaining mechanisms and dynamic pricing with and without the refusal cost. This paper conducts simulation experiments to validate the findings of the model. Journal: Int. J. of Revenue Management Pages: 187-215 Issue: 3 Volume: 13 Year: 2023 Keywords: Markov decision process; bargaining mechanisms; refusal cost; finite horizon. File-URL: http://www.inderscience.com/link.php?id=130765 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:13:y:2023:i:3:p:187-215