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Empirical evidence of the hedging pressure risk premium exists only in the futures contracts with delivery-related options. Since hedging pressure is supposed to exist for all futures contracts, the empirical evidence raises an interesting empirical question: whether the hedging pressure risk premium is in fact the risk premium associated with the delivery-related options. This chapter contains an empirical test of the non-redundancy between the two related but alternative sources of non-market risks. For the test, we employs a futures risk premia model in which the expected futures returns contain the market risk premium (proxied by the equity market risk premium) and two non-market risk premia (proxied by the hedging pressure effect and by the delivery risk premium reflected in the returns of futures options, respectively). Our main finding is that both the hedging pressure and the delivery risk premia are non-redundant and statistically significant for futures contracts with delivery-related options. This finding implies a substantial degree of segmentations between these futures markets and the underlying asset markets.

This paper investigates the impact of sustainability information disclosure on consumers' choice of order-to-delivery lead-time in relation to consumers' sustainability concern.

Based on two choice experiments with participants from the Netherlands (n = 348) and the United Kingdom (n = 1,387), the impact of sustainability information disclosure was examined in connection with consumers' concerns for environmental and social sustainability. Information on environmental impact (carbon emission) and social impact (warehouse workers and drivers' well-being) was considered and compared.

Disclosing sustainability impact information significantly increased consumers' preference and choice for longer delivery times, with equivalent effects for environmental and social impact information. Consumers' relevant (environmental or social) sustainability concern as personality traits enhanced effects on preferences, as did priming of environmental concern.

Future research may consider differences between product categories or e-commerce companies' reputation in sustainability activities.

The findings provide opportunities for online retailers to influence consumer choice of delivery time, especially through disclosing environmental and/or social sustainability information.

This study fills a gap in the literature on sustainability information disclosure to actively steer consumer choice of delivery time, particularly regarding the effect of social sustainability impact information in comparison to its environmental counterpart.

The main purpose of this research is to investigate acceptability of different delivery methods in e-grocery (home delivery, pick-up from store, pick-up from locker) and the respective willingness of customers to pay for them using a stated preference ranking experiment.

Data collected involved two countries (Greece and UK) with different level of e-grocery development and two different distribution conditions (weekly and urgent order). Rank-ordered logit model is used to analyse the ranking experiment and calculate the willingness-to-pay (WTP) measures. Delivery mode, cost and time window are used as independent variables.

Results indicated that home delivery and picking-up from locker appear to be clearly preferable than picking-up from store. However, home delivery seems to hold a stronger competitive position over the other delivery methods, especially in the weekly order and in the UK market. The pick-up from locker option appears to be a competitive delivery mode for consumers who are cost sensitive and shop under urgent conditions. Willingness to use and pay for picking-up from locker increases significantly in the context of same-day delivery.

The information provided in this study will help retailers to design and implement distribution schemes that can meet consumers' preferences for e-grocery. WTP differences among the consumer groups and the distribution conditions examined can have a considerable impact on the evaluation of marketing and pricing strategies applied by e-retailers.

Consumer preference and the respective WTP for different delivery methods in e-grocery, especially for the pick-up from locker option, have not been systematically investigated.

This chapter develops a no-arbitrage, futures equilibrium cost-of-carry model to demonstrate that the existence of cointegration between spot and futures prices in the New York Mercantile Exchange (NYMEX) crude oil market depends crucially on the time-series properties of the underlying model. In marked contrast to previous studies, the futures equilibrium model utilizes information contained in both the quality delivery option and convenience yield as a timing delivery option in the NYMEX contract. Econometric tests of the speculative efficiency hypothesis (also termed the “unbiasedness hypothesis”) are developed and common tests of this hypothesis examined. The empirical results overwhelming support the hypotheses that the NYMEX future price is an unbiased predictor of future spot prices and that no-arbitrage opportunities are available. The results also demonstrate why common tests of the speculative efficiency hypothesis and simple arbitrage models often reject one or both of these hypotheses.

This paper aims to explore the conditions in a business-to-business-to-consumer (B2B2C) context characterized by new technologies. Innovations enhance disintermediation and pursue sustainability goals that drive customers’ willingness to use eco-friendly delivery options, namely, parcel lockers – in e-commerce and their impacts in terms of communication and transparency along the supply network.

The study conducted an extensive survey in Italy and Germany, collecting 1,010 usable responses. Structural equation modelling was used to analyse the data with the aim of identifying the factors that drive customers’ willingness to use parcel lockers and the effect on customers’ behaviour as determined by the disclosure of information about the environmental performance of different delivery options.

The results highlight several factors affecting the willingness to use parcel lockers, namely, performance and effort expectancy, social influence, technology anxiety, hedonistic motivation and environmental knowledge. The results also demonstrate that the disclosure of information about the environmental performance of different delivery options influences customers’ behaviour.

This paper faces several limitations, mostly related to the focus on just two countries, the use of cross-sectional data and the survey’s explicit reference to just one type of product. Nevertheless, the findings contribute to the discussion on the relevance of information sharing along the supply chain, providing favourable evidence in this regard. It also improves the stream of research concerning technology adoption in the context of e-commerce, highlighting factors that can lead consumers to use eco-friendly self-service technologies.

The results can support companies in understanding how they can design and manage the last mile of delivery to jointly achieve customer satisfaction, process efficiency and superior environmental performance.

This pioneering contribution studies the adoption of delivery solutions for e-commerce and its implications for the supply network.

The purpose of this paper is to look into the mass production of dwelling units and the conflict encountered when the economics versus quality, sometimes resulting in a waste of public funding resources and extra re‐building time.

This paper proposes a decision model for deciding the optimum house delivery alternatives for both the recipients and the Government. The decision model is designed using the analytical hierarchy process. Where multiple criteria are incorporated for such as waiting time, citizen satisfaction, and quality of work, house delivery‐time, cost, losses and finally, management responsibility.

Partially constructed houses enable the possibility of many alternatives by the recipients, which in turn avoids the drawbacks of rebuilding and at the same time, maintains work quality. The partially constructed housing system is proved to be effective in making a trade‐off between the government purposes and recipients desires, but with a variable percentage of partial construction.

The analysis of the surveys stresses the importance of different alternatives within the partially constructed housing system in order to reduce waiting time and construction cost thus increases the satisfaction of occupants. The validity of this study continues to be effective to this date, as the Government's housing policies have not yet changed or streamlined, consequently re‐building continues to be the theme of many public houses after hand‐over to recipients.

There are a number of traditional business strategy theories that have been used to discuss business‐to‐business (B2B) e‐commerce strategy: Transaction Cost Economics, Resource‐Based View, Porter’s Market Forces Theory, and Channel Theory. However, there currently exists no comprehensive framework linking these theories into a method to rigorously assess value delivery strategies, and in particular to determine how to maximise the impact of the Internet as a value delivery channel. This paper answers this shortcoming by introducing a framework that draws together the main theories of strategic choice in a systematic fashion. In particular, the paper examines how different ways of delivering the same form of value (rather than particular products) from producer to customer may allow exploitation of the desirable features of the Internet to different degrees. By using a novel distribution business model from a real‐life case study to illustrate this framework, the paper uncovers several novel ways the Internet can enhance B2B strategy. The main contribution of the paper is the development of a formal, semi‐quantitative model of value delivery strategy evaluation, which can be used as a starting point for practical evaluation of strategy choices in particular settings, and also as a theoretical tool for discussing the role of the Internet in B2B e‐commerce in a more rigorous way.

Embedded options can create asymmetries in information impounded by cash and futures markets, causing errors in price discovery estimation. This paper aims to investigate the impact of embedded location options on measures of price discovery.

Various price discovery metrics are computed using observed futures prices that contain embedded location options and cash prices for Chana. Prices of a futures contract that contains no options using observed futures prices and estimates of location option value are synthesized. The price discovery measures are recomputed using synthetic option-adjusted futures contract prices and cash prices, and changes in these measures are attributed to the impact of the embedded location option.

If the presence of the location option is ignored, futures appear to dominate price discovery. Once the location option is adjusted for, cash markets are found to dominate price discovery.

The lack of complete time-series data from the exchange for multiple commodities allows only limited empirical evidence for generalizing conclusions.

This paper highlights that regulators, exchanges and policymakers in India need to revisit delivery specifications of agricultural commodity futures contracts to enhance their utility from a price discovery perspective.

This work shows that ignoring the presence of embedded options can cause significant errors in price discovery assessment of agricultural futures contracts, particularly in heterogenous cash markets.

This paper investigates the economic performances of two business-to-consumer (B2C) e-commerce last-mile delivery options –parcel lockers (PLs) and traditional home delivery (HD) in contexts where e-commerce is still at its early stages. It analyses and compares two different implementation contexts, urban and rural areas.

This study develops an analytical model that estimates delivery costs for both the PL and HD options. The model is applied to two base cases (representative of urban and rural areas in Italy), and sensitivity analyses are subsequently performed on a set of key variables/parameters (i.e. PL density, PL fill rate and PL annual costs). To support the model development and application, interviews with practitioners (Edwards et al., 2011) were performed.

PLs imply lower delivery cost than HD, independently from the implementation area (urban or rural): advantages mainly derive from the higher delivery density and the drastic reduction of failed deliveries. Benefits entailed by PLs are more significant in rural areas due to lower PL investments and annual costs, as well as higher HD costs.

This paper offers insights to both academics and practitioners. On the academic side, it develops a model to compare the delivery cost of PL and HD, which includes the analysis of urban and rural contexts. This could serve as a platform for developing/informing future analytical/optimisation contributions. On the managerial side, it may support practitioners in making decisions about the implementation of PLs and HD, to benchmark their costs and to identify the main variables and parameters at play.