Inelastic sports ticket pricing, marginal win revenue, and firm pricing strategy

2016 ◽  
Vol 42 (9) ◽  
pp. 922-927 ◽  
Author(s):  
Yang-Ming Chang ◽  
Joel M. Potter ◽  
Shane Sanders
Keyword(s):  
Demand Curve ◽  
Empirical Studies ◽  
Profit Maximization ◽  
Maximization Problem ◽  
Standard Result ◽  
Content Type ◽  
Ticket Pricing ◽  
Crowd Density ◽  
Sports Team ◽  
Profit Maximizing

Purpose A standard result of firm theory is that a monopoly maximizes profit somewhere along the elastic portion of its demand curve. However, empirical studies of sports ticket pricing routinely find that (home) teams price along the inelastic portion of demand. Despite compelling theoretical explanations of this finding, at least one important factor remains unconsidered. A profit-maximizing team considers not only direct marginal revenue and direct marginal cost when setting a ticket price but also deferred, strategic benefit (revenue) from present game success. The paper aims to discuss these issues. Design/methodology/approach Prior literature finds that a given win is valued in that it generates additional future revenue and likelihood of home victory rises, ceteris paribus, in crowd density. The authors construct a firm profit maximization problem in which a sports team considers both present and future revenue when pricing home games in the present period. Findings If the deferred benefit is sufficiently large, a forward-looking, profit-maximizing team prices along the inelastic portion of its static demand curve. Importantly, this same price falls along the elastic portion of the firm’s (empirically unobserved) dynamic demand curve. Originality/value This is the first model of sports ticket pricing to recognize the intertemporal nature of demand for a sports match.

scholarly journals The Study of Resource Allocation among Software Development Phases: An Economics-Based Approach

2011 ◽  
Vol 2011 ◽  
pp. 1-21 ◽  
Author(s):  
Peleg Yiftachel ◽  
Irit Hadar ◽  
Dan Peled ◽  
Eitan Farchi ◽  
Dan Goldwasser
Keyword(s):  
Resource Allocation ◽  
Software Development ◽  
Empirical Studies ◽  
Profit Maximization ◽  
Maximization Problem ◽  
Software Production ◽  
Software Product ◽  
Development Processes ◽  
Development Phases ◽  
Novel Concept

This paper presents an economics-based approach for studying the problem of resource allocation among software development phases. Our approach is structured along two parallel axes: theoretical and empirical. We developed a general economic model for analyzing the allocation problem as a constrained profit maximization problem. The model, based on a novel concept of software production function, considers the effects of different allocations of development resources on output measures of the resulting software product. An empirical environment for evaluating and refining the model is presented, and a first exploratory study for characterizing the model's components and developers' resource allocation decisions is described. The findings illustrate how the model can be applied and validate its underlying assumptions and usability. Future quantitative empirical studies can refine and substantiate various aspects of the proposed model and ultimately improve the productivity of software development processes.

Determinants of trade credit financing: a dynamic analysis comparing agri-food cooperatives and non-cooperatives

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
MCarmen Martínez-Victoria ◽  
Mariluz Maté-Sanchez-Val
Keyword(s):  
Trade Credit ◽  
Empirical Studies ◽  
Profit Maximization ◽  
Cash Flows ◽  
Partial Adjustment ◽  
Content Type ◽  
Accounts Receivable ◽  
Dynamic Panel Model ◽  
Credit Financing ◽  
General Method Of Moments

PurposeThe particular characteristics of agri-food cooperatives reduce their ability to access external financial resources. The purpose of this paper is to explore the factors influencing the agri-food cooperatives' trade credit operations by measuring their accounts receivable and comparing the results with agri-food investor-owned firms (IOFs).Design/methodology/approachThe authors apply a partial adjustment model (PAM) estimated using a dynamic panel model with a two-step general method of moments (GMM) estimator to a sample of 11,930 Spanish agri-food cooperatives and IOFs for the period 2011–2018.FindingsThe study concludes that cooperatives and IOFs have an accounts receivable target, which they attempt to achieve rapidly. Cooperatives tend to behave as IOFs do, but they present lower adjustment coefficients. This difference seems to be explained by the unique characteristics of cooperatives which set different economic and social goals, not just profit maximization as IOFs. The findings show differences between the financial and commercial purposes of the cooperatives and IOFs as a result of their internal management policies. Larger cooperatives with access to external financial sources, positive cash flows and operational necessities will grant trade credit.Originality/valueThis study gives interesting implications for cooperative managers and policymakers to help them to understand the strategies behind trade credit policies. Previous empirical studies on the agri-food sector are scarce and focus on IOFs without considering the role of trade credit in European cooperatives.

scholarly journals Modelling decision making in digital supply chains: insights from the petroleum industry

Kybernetes ◽  
2019 ◽  
Vol 49 (4) ◽  
pp. 1213-1228 ◽  
Author(s):  
Florina Livia Covaci ◽  
Pascale Zaraté
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Petroleum Industry ◽  
Real Life ◽  
Profit Maximization ◽  
Current Approach ◽  
Utility Functions ◽  
Maximization Problem ◽  
Content Type

Purpose This paper aims to overcome some of the limitations of previous works regarding automated supply chain formation (SCF). Hence, it proposes an algorithm for automated SCF using multiple contract parameters. Moreover, it proposes a decision-making mechanism that provides means for incorporating risk in the decision-making process. To better emphasize the features of the proposed decision-making mechanism, the paper provides some insights from the petroleum industry. This industry has a strategic position, as it is the base for other essential activities of the economy of any country. The petroleum industry is faced with volatile feed-stock costs, cyclical product prices and seasonal final products demand. Design/methodology/approach The authors have modeled the supply chain in terms of a cluster graph where the nodes are represented by clusters over the contract parameters that suppliers/consumers are interested in. The suppliers/consumers own utility functions and agree on multiple contract parameters by message exchange, directly with other participant agents, representing their potential buyer or seller. The agreed values of the negotiated issues are reflected in a contract which has a certain utility value for every agent. They consider uncertainties in crude oil prices and demand in petrochemical products and model the decision mechanism for a refinery by using an influence diagram. Findings By integrating the automated SCF algorithm and a mechanism for decision support under uncertainty, the authors propose a reliable and practical decision-making model with a practical application not only in the petroleum industry but also in any other complex industry involving a multi-tier supply chain. Research limitations/implications The limitation of this approach reveals in situations where the parameters can take values over continuous domains. In these cases, storing the preferences for every agent might need a considerable amount of memory depending on the size of the continuous domain; hence, the proposed approach might encounter efficiency issues. Practical implications The current paper makes a step forward to the implementation of digital supply chains in the context of Industry 4.0. The proposed algorithm and decision-making mechanism become powerful tools that will enable machines to make autonomous decisions in the digital supply chain of the future. Originality/value The current work proposes a decentralized mechanism for automated SCF. As opposed to the previous decentralized approaches, this approach translates the SCF optimization problem not as a profit maximization problem but as a utility maximization. Hence, it incorporates multiple parameters and uses utility functions to find the optimal supply chain. The current approach is closer to real life scenarios than the previous approaches that were using only cost as a mean for pairwise agents because it uses utility functions for entities in the supply chain to make decision. Moreover, this approach overcomes the limitations of previous approaches by providing means to incorporate risk in the decision-making mechanism.

scholarly journals Investigation on firm efficiency: evidence from selected Asia-Pacific countries

2018 ◽  
Vol 25 (8) ◽  
pp. 3062-3080 ◽  
Author(s):  
Khar Mang Tan ◽  
Fakarudin Kamarudin ◽  
Amin Noordin Bany-Ariffin ◽  
Norhuda Abdul Rahim
Keyword(s):  
Technical Efficiency ◽  
Small Firms ◽  
Banking Sector ◽  
Profit Maximization ◽  
Asia Pacific ◽  
Scale Efficiency ◽  
Scale Level ◽  
Firm Efficiency ◽  
Content Type ◽  
Parametric Data

Purpose The purpose of this paper is to examine the firm efficiency or technical efficiency (TE), pure technical efficiency (PTE) and scale efficiency (SE) in the selected developed and developing Asia-Pacific countries. Design/methodology/approach The sample consists of a sum of 700 firms in selected developed and developing Asia-Pacific countries over the period from 2009 to 2015. The non-parametric data envelopment analysis under the production approach is used to investigate firm efficiency. Findings On average, this paper discovers that the firms in selected Asia-Pacific countries are moderately efficient. Scale inefficiency (SIE) is found to be the dominant source of firms’ technical inefficiency. The analysis of return to scale shows that the large firms tend to operate at decreasing return to scale level, while the small firms tend to operate at increasing return to scale level. Practical implications The findings from this paper provide significant insights to the policy makers and firm managers in promoting the efficient firms of Asia-Pacific countries. Originality/value The present paper conducts a critical analysis on return to scale in the firms sector of Asia-Pacific context, which is ignored by the past studies on firm efficiency since the analysis of return to scale is mostly emphasized on banking sector. The precise nature of SIE is important for a firm to be efficient in achieving the firm’s primary goals of profit maximization and sustaining market competitiveness.

scholarly journals Genetic Algorithm for the Retailers’ Shelf Space Allocation Profit Maximization Problem

2021 ◽  
Vol 11 (14) ◽  
pp. 6401
Author(s):  
Kateryna Czerniachowska ◽  
Karina Sachpazidu-Wójcicka ◽  
Piotr Sulikowski ◽  
Marcin Hernes ◽  
Artur Rot
Keyword(s):  
Genetic Algorithm ◽  
Profit Maximization ◽  
Allocation Rule ◽  
Maximization Problem ◽  
Shelf Space ◽  
Allocation Model ◽  
Space Allocation ◽  
Shelf Space Allocation ◽  
To Receive

This paper discusses the problem of retailers’ profit maximization regarding displaying products on the planogram shelves, which may have different dimensions in each store but allocate the same product sets. We develop a mathematical model and a genetic algorithm for solving the shelf space allocation problem with the criteria of retailers’ profit maximization. The implemented program executes in a reasonable time. The quality of the genetic algorithm has been evaluated using the CPLEX solver. We determine four groups of constraints for the products that should be allocated on a shelf: shelf constraints, shelf type constraints, product constraints, and virtual segment constraints. The validity of the developed genetic algorithm has been checked on 25 retailing test cases. Computational results prove that the proposed approach allows for obtaining efficient results in short running time, and the developed complex shelf space allocation model, which considers multiple attributes of a shelf, segment, and product, as well as product capping and nesting allocation rule, is of high practical relevance. The proposed approach allows retailers to receive higher store profits with regard to the actual merchandising rules.

Integrated quality environmental management implementation in food processing SMEs

2019 ◽  
Vol 31 (5) ◽  
pp. 740-757 ◽  
Author(s):  
Syed Ali Raza Shah ◽  
Khairur Rijal Jamaludin ◽  
Hayati Habibah Abdul Talib ◽  
Sha’ri Mohd Yusof
Keyword(s):  
Environmental Management ◽  
Food Processing ◽  
Success Factors ◽  
Process Management ◽  
Empirical Studies ◽  
Sampling Technique ◽  
Developed Countries ◽  
Operational Performance ◽  
Snowball Sampling ◽  
Content Type

Purpose The purpose of this paper is to identify the critical success factors (CSFs) of integrated quality environmental management (IQEM) and analyze their impact on operational performance (OP) and environmental performance (EP) in food processing Small and medium-sized enterprises (SMEs) in Pakistan. Design/methodology/approach The study is based on collecting data using a survey questionnaire through snowball sampling technique. A total of 302 food processing SMEs operating in Punjab, Pakistan, responded to the survey. SPSS version-23 and SmartPLS-3 were used for data analysis. Findings The literature review identified leadership (LS), employee management (EM), strategic planning (SP), information management (IM), process management (PM), supplier management (SM) and customer focus (CF) as CSFs of IQEM. The results of this study found a significant relationship of all identified CSFs with operational performance in food processing SMEs whereas EM, IM, PM and SM were insignificant with the EP in the food processing SMEs. Research limitations/implications Although this study has collected data from one province, the Punjab province, it still relevant in identifying the CSFs for IQEM implementation within food processing SMEs to improve performance. Originality/value Despite the wide spread of integrated systems practices in the developed countries, little attention has been placed to implement and assess the IQEM initiatives by organizations in the developing countries. Thus, this study identified CSFs of IQEM based on empirical studies and analyzed their impact on OP and EP of food processing SMEs.

When foreign brands appear local, and local brands appear foreign

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bo Chen
Keyword(s):  
Developing Countries ◽  
Purchase Intention ◽  
Empirical Studies ◽  
Country Of Origin ◽  
Developed Countries ◽  
Brand Names ◽  
Content Type ◽  
Product Categories ◽  
Foreign Brand ◽  
Foreign Brands

PurposeBoth foreign and local companies frequently name their brands in foreign language on the market of developing countries, and some of them choose to disclose the brands' country of origin to consumers. The purpose of this research is to investigate the joint effects between the practices of disclosing the actual country of origin of the brands and the language of the brand names on consumers' purchase intention for foreign brands and local brands in developing countries.Design/methodology/approachThe proposed hypotheses were tested in two studies, namely an experiment and a field experimental survey, with stimuli from two product categories.FindingsThe results of the two empirical studies with Chinese participants consistently demonstrate that revealing the actual country of origin of the brands undermines consumers' purchase intention for local brands that use foreign brand names, but does not impact consumers' purchase intention for foreign brands that use local brand names.Originality/valueThis research first investigates the effects of adapting the brand names into local language of developing countries for brands from developed countries on consumers' purchase intention, which provides new insight into the literature on foreign branding and country of origin effects as well as practical implications for brand managers.

The effects of user interface designs on lighting use

2017 ◽  
Vol 15 (1) ◽  
pp. 58-78
Author(s):  
Pimkamol Maleetipwan-Mattsson ◽  
Thorbjörn Laike ◽  
Maria Johansson
Keyword(s):  
Energy Saving ◽  
User Interfaces ◽  
Energy Use ◽  
Empirical Studies ◽  
Field Observations ◽  
Public Buildings ◽  
Basic Field ◽  
Content Type ◽  
User Perceptions ◽  
Design Characteristics

Purpose The purpose of this paper is to differentiate human responses to different light switch designs to determine the effects of these common interfaces on user perceptions and use of electric lighting in public buildings. Design/methodology/approach Empirical studies were conducted to assess and examine user perceptions with regard to design characteristics of light switches, and occupants’ use of electric lighting was examined through field observations made in a public toilet. Findings The results point to the possibility of identifying characteristics of light switches that attract user attention and thereby encourage energy-saving behaviour in public buildings. A light switch perceived as simple but oversized affected occupants to turn off the lights more frequently when leaving the space under study as compared to switches of normal size. Research limitations/implications Information on user perceptions of light switches may be limited by the assessments being carried out only in controlled environments. Assessing user perceptions in field observations is thus desirable, as it will provide more information on the perceptions in actual settings. Practical implications Effective design of user interfaces could provide a means of lowering energy use from electric lighting by affecting the behaviour of users. Using user perceptions to define critical design characteristics could contribute to design improvements in the interfaces with respect to users’ viewpoints. Originality/value This paper contributes to the subject with a basic, field-based approach to formulating an understanding of how design via user perceptions may encourage energy-saving behaviour.

The reflexive turn in key account management

2014 ◽  
Vol 48 (11/12) ◽  
pp. 2071-2104 ◽  
Author(s):  
Markus Vanharanta ◽  
Alan J.P. Gilchrist ◽  
Andrew D. Pressey ◽  
Peter Lenney
Keyword(s):  
Empirical Studies ◽  
Negative Relationship ◽  
Success Rates ◽  
Key Account Management ◽  
Content Type ◽  
Account Management ◽  
Long Run ◽  
Key Account ◽  
And Performance ◽  
The Uk

Purpose – This study aims to address how and why do formal key account management (KAM) programmes hinder effective KAM management, and how can the problems of formalization in KAM be overcome. Recent empirical studies have reported an unexpected negative relationship between KAM formalization and performance. Design/methodology/approach – An 18-month (340 days) ethnographic investigation was undertaken in the UK-based subsidiary of a major US sports goods manufacturer. This ethnographic evidence was triangulated with 113 in-depth interviews. Findings – This study identifies how and why managerial reflexivity allows a more effectively combining of formal and post-bureaucratic KAM practices. While formal KAM programmes provide a means to initiate, implement and control KAM, they have an unintended consequence of increasing organizational bureaucracy, which may in the long-run hinder the KAM effectiveness. Heightened reflexivity, including “wayfinding”, is identified as a means to overcome many of these challenges, allowing for reflexively combining formal with post-bureaucratic KAM practices. Research limitations/implications – The thesis of this paper starts a new line of reflexive KAM research, which draws theoretical influences from the post-bureaucratic turn in management studies. Practical implications – This study seeks to increase KAM implementation success rates and long-term effectiveness of KAM by conceptualizing the new possibilities offered by reflexive KAM. This study demonstrates how reflexive skills (conceptualized as “KAM wayfinding”) can be deployed during KAM implementation and for its continual improvement. Further, the study identifies how KAM programmes can be used to train organizational learning regarding KAM. Furthermore, this study identifies how and why post-bureaucratic KAM can offer additional benefits after an organization has learned key KAM capabilities. Originality/value – A new line of enquiry is identified: the reflexive-turn in KAM. This theoretical position allows us to identify existing weakness in the extant KAM literature, and to show a practical means to improve the effectiveness of KAM. This concerns, in particular, the importance of managerial reflexivity and KAM wayfinding as a means to balance the strengths and weaknesses of formal and post-bureaucratic KAM.

scholarly journals A Novel Integrated Profit Maximization Model for Retailers under Varied Penetration Levels of Photovoltaic Systems

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 92
Author(s):  
Ioannis P. Panapakidis ◽  
Nikolaos Koltsaklis ◽  
Georgios C. Christoforidis
Keyword(s):  
Profit Maximization ◽  
Energy Markets ◽  
Maximization Problem ◽  
Selling Price ◽  
Retail Market ◽  
Stochastic Variable ◽  
Wholesale Market ◽  
Market Operation ◽  
Pv Penetration ◽  
Marginal Price

In contemporary energy markets, the Retailer acts as the intermediate between the generation and demand sectors. The scope of the Retailer is to maximize its profits by selecting the appropriate procurement mechanism and selling price to the consumers. The wholesale market operation influences the profits since the mix of generation plants determines the system marginal price (SMP). In the related literature, the SMP is treated as a stochastic variable, and the wholesale market conditions are not taken into account. The present paper presents a novel methodology that aims at connecting the wholesale and retail market operations from a Retailer’s perspective. A wholesale market clearing problem is formulated and solved. The scope is to examine how different photovoltaics (PV) penetration levels in the generation side influences the profits of the Retailer and the selling prices to the consumers. The resulting SMPs are used as inputs in a retailer profit maximization problem. This approach allows the Retailer to minimize economic risks and maximize profits. The results indicate that different PV implementation levels on the generation side highly influences the profits and the selling prices.

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