Search results

The present study aims to provide a roadmap for meeting the carbon-free, green energy production target within the stipulated period while also considering climate targets through a sustainable auctioning scheme.

The research outlines the opportunity to design auctions based on qualitative research, the impact of auctions on energy costs and thus the feasibility of suggested auctioning schemes based on country-specific empirical evidence and benefits.

The conclusions show that this may result in various advantages for emerging economies relating to technology-neutral site-specific auctions if designed according to state-specific socio-economic conditions.

The planned addition to the state-of-the-art in the renewable energy (RE) field of this paper is that it intends to bridge the gap between theory and practice. The analysis has concepts for research, practice and/or community. Thus, it can serve as a primary source of literature reference for those willing to learn more about the aspects of cost related to RE.

This study investigates the impact of simultaneously replacing both midday single-price call auction and lunch break with multi-price continuous trading on intraday volatility–volume patterns as well as the intraday volatility–volume nexus.

The analysis utilises 150 m tick-by-tick transaction data related to 333 stocks traded on Borsa Istanbul Equity Market covering a period of 2 months prior to and following the change. In addition to graphic comparisons, the study uses difference in mean tests, panel-fixed generalized least squares (GLS), panel-random GLS and random-effects linear models with AR(1) disturbance regression estimations.

The results show that intraday volatility and trading volume form an inverse J-shape and are positively correlated. It is observed that the implementation of the regulation change decreased intraday volatility and increased trading volume. Additionally, the results indicate a negative volatility–liquidity and a positive volume–liquidity relationship, supporting the mixture of distribution hypothesis.

Enhanced market efficiency provides greater opportunity for investment and risk management. Investors can benefit from the findings on the intraday volatility–volume nexus, which is an indicator of informed trading, and regulatory authorities can use volume to oversight volatility.

This very rare regulation change of the simultaneous replacement of the lunch break and midday call auction with continuous trading is investigated in the context of intraday volume and volatility. This study also expands upon some important findings on the volume–volatility nexus for the Turkish Stock Market.

This paper gives a model of collusion formation and a method of measuring the degree of it among the traders/bidders in the agricultural commodity markets in India. The important assumption is that the bidding is repetitive with a set of common bidders. The theory has been derived based on the behavior of the wholesale market of agricultural commodities in India. The paper is based on full information in the collusion formation. The paper first derives the theoretical structure of the bidders' behavior and thereafter derives a measure of collusion formation with the help of real-life data.

The paper used the standard theory of optimization and the theory of auction and probability statistics.

This is a complete information model of cartel formation. The bidding is repetitive and continues forever in discrete time. Hence bidders behavior is observable. Using the proposed method, if the APMC measures for each market and publishes on a periodic basis, say weekly basis, then it will be easier to break the collusion in the market where relative collision is present. For example, if a farmer has three options to sell in three different markets, then the published data would help them to select the market where the degree of collusion is relatively lower. Moreover, the undesirable loss can be avoided based on the right choice of market. As a result, transaction costs will be optima.

The paper first derives the theoretical structure of the bidders' behavior and thereafter derives a measure of collusion formation with the help of real-life data.

COVID-19 has influenced the way we utilise the radio spectrum in terms of increasing data rates, the localisation of usage, and the transfer of traffic from urban to rural areas. Most regulators have shown sympathy towards operator requirements, stipulating a range of mitigation actions including allowing technology neutrality and temporary assignments. Internationally, the ITU-R suspended all physical meetings and launched a new global network resiliency platform named ‘REG4COVID’ to share experiences including those related to spectrum management.

It is argued in this chapter that the pandemic has supported the calls for additional unlicensed spectrum for Wi-Fi in the 6 GHz and accelerated the rollout of 5G. Moreover, despite of increasing use of streaming, it is quite difficult to assume that traditional linear TV will be replaced, at least in the near future for a variety of reasons. The pandemic has also raised the question as to whether an innovative assignment model could be used to assign the spectrum instead of auctions, and whether, in some countries where temporary assignments were made, frequencies are kept unutilised or reserved. Concerning international spectrum management, it is expected that WRC-23 will be held on time though there will be some implications for issues such as the regulatory time-limits for bringing into use satellite networks frequency assignments. Finally, it is argued that the pandemic has also demonstrated the importance of flexibility and agility in national spectrum management, and placed spectrum managers in a new position where they were forced to be proactive instead of their traditional reactive role.

This study addresses the production optimization of a cellular manufacturing system (CMS) in magnetic production enterprises. Magnetic products and raw materials are more critical to transport than general products because the attraction or repulsion between magnetic poles can easily cause traffic jams. This study needs to address a method to promote the scheduling efficiency of the problem.

To address this problem, this study formulated a mixed-integer linear programming (MILP) model to describe the problem and proposed an auction and negotiation-based approach with a local search to solve it. Auction- and negotiation-based approaches can obtain feasible and high-quality solutions. A local search operator was proposed to optimize the feasible solutions using an improved conjunctive graph model.

Verification tests were performed on a series of numerical examples. The results demonstrated that the proposed auction and negotiation-based approach with a local search operator is better than existing solution methods for the problem identified. Statistical analysis of the experiment results using the Statistical Package for the Social Sciences (SPSS) software demonstrated that the proposed approach is efficient, stable and suitable for solving large-scale numerical instances.

An improved auction and negotiation-based approach was proposed; The conjunctive graph model was also improved to describe the problem of CMS with traffic jam constraint and build the local search operator; The authors’ proposed approach can get better solution than the existing algorithms by testing benchmark instances and real-world instances from enterprises.

This paper aims to demonstrate that Facebook likes affect outcomes in nonprofit settings. Specifically, Facebook likes influence affinity to nonprofits, which, in turn, affects fundraising outcomes.

The authors report three studies that establish that relationship. To examine social contagion, Study 1 – an auction field study – relies on selling artwork created by underprivileged youth. To isolate signaling, Study 2 manipulates the number of total Facebook likes on a page. To isolate commitment escalation, Study 3 manipulates whether a participant clicks a Facebook like.

The results show that Facebook likes increase willingness to contribute in nonprofit settings and that the process goes through affinity, as well as through Facebook impressions and bidding intensity. The total number of Facebook likes has a direct signaling effect and an indirect social contagion effect.

The effectiveness of the proposed mechanisms is limited to nonprofit settings and only applies to short-term effects.

Facebook likes serve as both a quality signal and a commitment mechanism. The magnitude of commitment escalation is larger, and the relationship is moderated by familiarity with the organization. Managers should target Facebook likes at those less familiar with the organization and should prioritize getting a potential donor to leave a like as a step leading to donation, in essence mapping a donor journey from prospective to active, where Facebook likes play an essential role in the journey. In a charity auction setting, the donor journey involves an additional step of bidder intensity.

The approach the authors study is shown effective in nonprofit settings but does not appear to extend to corporate social responsibility more broadly.

To the best of the authors’ knowledge, this study is the first investigation to map Facebook likes to a seller’s journey through signals and commitment, as well as the only investigation to map Facebook likes to charity auctions and show the effectiveness of this in the field.

The paper aims to understand the role of sensory quality scoring used at the competition auctions on pricing outcomes and how the auction process could be improved to increase sustainability in the specialty coffee market.

The authors build a conceptual model explaining the potential role of sensory quality scoring in generating inequitable outcomes in specialty coffee auctions. The authors' research is exploratory. The authors base the propositions on the findings of the extant literature and our analysis of data from 24 Best of Panama (BOP) Auctions that took place between 2017 and 2021.

A striking feature in recent BOP Auctions is a winner-takes-all (WTA) outcome. The authors also document the presence of significant price inversion. The authors attribute these outcomes to the interactions of information-poor producers, information-rich intermediaries and conspicuous consumers in competition auctions, where the product quality measurement is highly unreliable.

Data need to be gathered more broadly to enable the operationalization of the current propositions into testable hypotheses.

These strategies intend to provide guidelines for producers, consumers and other value chain participants on creating equitable solutions to a thriving industry where a WTA phenomenon occurs.

The current study is the first to argue that existing quality scoring practices, as well as conspicuous consumption, contribute to the inequities. Finally, the study proposes novel interventions to standardize the quality grading protocols and communicate them transparently to both producers and consumers.

In light of the ever-growing complexity of real estate transactions, the need for vendors and buyers to better understand the role of vendor due diligence (VDD) is imperative. The purpose of this paper is twofold: firstly, it provides a detailed literature review regarding the role of VDD from both the vendor's and buyers' perspectives. Secondly, it analyses the value of VDD over and above the buyer's due diligence (BDD) in real estate transactions by proposing a theoretical model involving two-stage auctions.

Real-world examples from the industry are used as a motivation behind listing a set of practical questions. A theoretical construct is built to approximate the real estate environment under study. The construct is then studied from a game-theoretic perspective to obtain theoretical answers to the questions. These answers are then used to shape recommendations for the relevant industry and beyond.

The model suggested accommodates the feature that even though the VDD is broadly increasing informational efficiency in the market, its value is limited and sometimes harmful when the vendors have a sound prior understanding of their assets and the buyers' pre-transaction information about the asset is already high.

Though the real estate market is considered here, the theoretical model we propose is applicable to any other complex asset transaction decision that supports endogenous information disclosure considerations using VDD.

On completion of the case study, students will understand the following learning objectives: the characteristics of quantitative easing (QE) and when it may be appropriate to implement QE; how QE differs from a conventional bond purchasing programme; the impact of direct financing of the fiscus by the central bank on its independence; how the macro-economic and political environments affect and influence national economic policy; the difference between traditional and unconventional monetary policies and potential implications for an economy like South Africa. The learnings from this case study can be used in other global economic environments, particularly in emerging markets. This case study provides valuable insights into decision-making, institutional independence, policy coordination, deficit financing, causes and consequences of price inflation, risks relating to monetary instability and the correct application of monetary policy.

After the announcement of the COVID-19-related lockdown in March 2020 and the subsequent slow-down of economic activity in South Africa, the South African Reserve Bank (SARB) had to consider appropriate macro-economic tools to ensure both price and financial stability in South Africa. The macro-economic policy tools had to be considered in light of the South African economic context, which included acknowledgement of South Africa’s debt crisis and slow economic growth. The central bank responded by introducing the following measures: reducing interest rates to a record low of 3.5% to give consumers financial relief and to promote spending in the economy; purchasing government bonds in the secondary markets to stabilise financial markets; facilitating the loan guarantee scheme that was aimed at providing financial relief to small- and medium-sized enterprises; relaxing the capital and liquidity adequacy requirements that commercial banks are required to meet; and ensuring availability of liquidity to banks through facilities such as the weekly repo auctions. However, despite introducing these interventions, the SARB faced calls from politicians, analysts and academics to do more. Various commentators argued that the SARB could introduce QE and directly finance government spending by purchasing government bonds. Some commentators argued that the reluctance of the SARB to pursue these suggestions was a result of the close alignment and relationship between the SARB and National Treasury. The dilemma faced by Governor Lesetja Kganyago of the SARB was threefold, namely, whether it was appropriate for the central bank to pursue the initiatives and, if so, whether the bank could pursue them without compromising its independence, and if the introduction of those initiatives would not adversely affect the ability of the central bank to fulfil its mandate of price stability and financial stability. In this regard, the governor and his executive team were required to consider the long-term implications of introducing the initiatives on consumer price inflation, independence of the SARB and the appropriate use of monetary policy tools to fulfil the central bank’s mandate. But the question was: What policies should the governor favour?

This case study is based on various macro-economic theories. Therefore, it would be useful to teach this case study in macro-economic courses in the following programmes: master’s in business administration, bachelor of commerce, bachelor of economic sciences and business science studies, as well as on executive education programmes, which consider macro-economic policy. In general, students who undertake economics, business and general management, finance, legal, commerce and banking studies could learn from this case study.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

This study analyzes small-sized asset owners’ optimal choice problems in selecting an outsourced chief investment officer (OCIO). While large-sized asset owners can select OCIOs through procurement auctions, it is difficult for small-sized asset owners to use this method. Instead, they access OCIO services by participating in an investment pool or utilizing OCIO funds. In this study, the authors compare the two OCIO selection methods. The authors construct an agent-based model for OCIO selection to reflect the heterogeneity in production efficiency and preferences. The results of this study imply that when the market has enough investment pools, the utility of all small-sized asset owners increases. To enhance the growth in the OCIO market, the investment pool should represent the preferences of small-sized asset owners and enable individual owners to find an appropriate OCIO.