Search results

This study aims to identify, within the context of the French fashion industry, the characteristics of multichannel shoppers, that is, consumers who use more than one channel in a single shopping trip. We especially investigate whether consumers' focus on quality versus price affects their multichannel shopping tendency and their flexibilities in their shopping lists (basket flexibility).

We surveyed a representative sample of 400 French shoppers regarding fashion apparel purchasing. We use a logistic regression framework to measure the probability of a shopper becoming a multichannel shopper based on the key constructs and a battery of control variables.

The analysis shows that, in fashion buying, shoppers focused on quality and those with high basket flexibility have a higher probability of becoming multichannel shoppers. The probability becomes even greater when a shopper is both quality oriented and has basket flexibility.

We focus on the fashion apparel market for a deeper understanding of multichannel usage of products with both experience and search features. Future research can investigate other industries for higher generalizability.

Our research provides insights into multichannel fashion companies whose managements aim to effectively manage high-value customers who tend to use more channels when shopping. Specifically, an omnichannel marketing strategy should focus on capturing the quality-oriented and highly basket-flexible segment of consumers.

Our study provides evidence that for products having high experiential as well as search features, quality-oriented and highly flexible shoppers engage more in multichannel shopping. Because these characteristics are related to the long-term value of customers, we provide the link between multichannel marketing and firm profitability in the context of the fashion industry.

This paper aims to provide an answer as to whether fibre to the home and other types of fixed internet access still have a role to play in Africa beyond a few urban elites, as well as what business models are likely to be successful in the African context.

The paper uses data from nationally representative ICT household surveys conducted in 12 African countries in 2012. These data are complemented by an OECD broadband pricing methodology and data. In addition to the OECD basket methodology, own baskets were defined to capture the complexity of African products, and to draw out the different business models for fixed and mobile broadband.

The paper demonstrates that if fixed internet is provided as an uncapped service at an affordable price, it has a chance to at least co-exist with mobile broadband in Africa. The availability of fixed internet is rapidly diminishing where it is offered as a capped service and not at prices similar to mobile broadband. The paper also demonstrates that fixed-line telecommunication companies should to focus on data only before mobile operators do, and they lose out once again.

In Africa, mobile voice overtook fixed voice at the turn of the millennium with the introduction of prepaid services. Ten years later, mobile internet is rapidly overtaking fixed internet by overcoming key obstacles to fixed internet access. While the developed world discusses the merits of fixed and mobile broadband, it is clear that for Africa, fixed broadband in the form of fibre to the home, or even plain ADSL, will only reach a few urban elites in the next decade. Fixed-line operators then should rethink their pricing and investment strategies: they are advised to invest in high-speed technologies such as VDSL or fibre to the home, if fixed broadband is to stand a chance against mobile broadband. Whether fixed-line operators will lose the data battle as well will be determined by their business decisions as well as by policy and regulatory interventions.

This paper uses primary household and individual data that allows for a better understanding of internet access and use in Africa. The analysis of internet access prices for ADSL against prepaid and post-paid mobile broadband is used to assess broadband business strategies across 12 African countries. The paper provides policymakers and regulators with the evidence required for an informed ICT policy and regulation and it recommends business strategies that should be pursued by operators to improve broadband sector performance.

The purpose of this paper is to compare construction costs between nations, which is an important part of international economic statistics. Methods employed for these comparisons to date have yielded questionable results. The paper presents a summary of the problem and the results of proof‐of‐concept testing for a new method.

Prices were estimated for a simple basket of two construction components using cost‐estimating guides for several nations. Both developed and developing nations were included. The prices were obtained for the components installed in the field, including labor, equipment, and materials. Purchasing power parities (PPPs) were calculated from the baskets.

The results indicate that the basket of construction components approach provides construction sector results much more in keeping with the overall consumption PPPs for the countries tested. This result suggests that the values obtained from this method provide a reasonable measure of construction price differentials. The method also requires substantially fewer resources than previous project‐based approaches.

Because the construction sector represents a significant fraction of global economic activity, it is important to incorporate this sector into the overall process accurately. The construction sector is difficult to compare, but ironically is often a large share of economic activity in developing countries, where comparison is most important. This paper presents a potential solution to a vexing problem in construction econometrics.

This paper seeks to contribute to the debate about the regulation of termination rates in the context of Africa.

The methodology is based on analysis of secondary data and a case study of a regulatory intervention in Namibia and its impact.

Mobile call termination is a monopoly and not one side of a two‐sided market. Cost‐based termination rates increase competition between operators and lead to lower prices, more subscribers and more investment.

The case of Namibia is presented as an example of termination rate benchmarking as an alternative regulatory strategy to overcome regulatory and institutional bottlenecks in Africa.

African regulators are presented with a tool for removing market distortions.

Cost based termination rates will lead to lower retail prices and allow more people to use mobile phones.

The paper presents theoretical and empirical evidence against the waterbed effect and the two‐sided market argument.

This paper aims to demonstrate that call termination is not one side of a two‐sided market and that a “waterbed effect” does not exist for calling‐party's‐network‐pays (CPNP) markets where mobile termination rates are being reduced towards the cost of an efficient operator.

The cases of Namibia, Kenya, South Africa, Nigeria and Botswana are investigated and the impact of cost‐based termination rates on subscriber numbers, investment and profits of dominant operators is analysed.

In Kenya, the reduction in mobile termination rates in August 2010 led to an immediate reduction in retail prices, allowing smaller operators to compete with dominant operators. In Namibia, lower retail prices led to an expansion of the market, which, in turn, led to higher investment and profits for the dominant operator. On the strength of the most recent empirical evidence from Africa, the paper shows that cost‐based mobile termination rates increase competition between operators and lead to lower prices, more subscribers and more investment in networks and services.

The paper provides empirical evidence for five African countries on impact on regulatory interventions.

The measurement of construction performance is a vexed problem. Despite much research effort, there remains little agreement over what to measure and how to measure it. The problem is made even more complicated by the desire to benchmark national industry performance against that of other countries. As clearly construction cost forms part of the analysis, the mere adjustment of cost data to an “international currency” has undermined past attempts to draw any meaningful conclusions. The paper aims to discuss these issues.

This paper introduces a new method for comparing international construction efficiency, tested on a data set of 337 modern high-rise buildings in both Australia and the USA, and in so doing demonstrates that the ratio of cost over time is capable of ranking the efficiency of projects, building contractors, cities and even entire industries – not only today, but retrospectively over time.

It is concluded that, based on data from the largest five cities in each country, efficiency on site is improving in both countries. The growth in baseline cost/m2 suggests a possible rise in project complexity over time. While the trend in efficiency improvement is similar, there is evidence that base costs in Australia have outstripped the USA, meaning that “real” construction efficiency in Australia is relatively less. If Australia held an advantage in the past, then it seems that advantage might be disappearing. The USA is outperforming Australia in terms of construction efficiency by 1.10 per cent per annum.

Cost is measured as the number of standard “citiBLOC” baskets necessary to construct a project, where a standard basket comprises common and globally applicable construction items priced in each city in local currency, removing the need to apply currency exchange rates that otherwise introduce volatility and erroneous outcomes. Time is measured as the number of months between commencement on site and handover, inclusive of delays related to the construction process on site. Construction efficiency is defined as the ratio of construction cost per month, and is used to comment on the relative performance of the procurement process in different locations.

Project cost is normally a key performance indicator for all projects, and therefore features prominently in benchmarking exercises aimed at identifying best practice. However, projects in different locations first require all costs to be expressed in equivalent units. Failing to do this leads to erroneous and unreliable results. The paper aims to discuss these issues.

Applying international construction as the focus for the study, cost data from 23 cities worldwide are compared using a range of methods including currency conversion and purchasing power parity (PPP). Coefficient of variation (CoV) forms the test for identifying the method with the lowest volatility.

It is found that purchasing power is the preferable theoretical base for international cost conversion, and currency conversion (frequently used by practitioners) is not recommended. The citiBLOC PPP method has the lowest CoV across the data set and therefore more closely reflects the Law of One Price that underpins the concept of PPP.

This research highlights the importance of a valid cost conversion methodology to properly understand the comparative performance of projects. Its application to benchmarking is demonstrated using the data envelopment analysis method.

This study aims to investigate the relationship between oil prices and stock returns of renewable energy firms in India under different market conditions.

The authors use the panel quantile framework with Fama–French–Carhart’s (1997) four-factor asset pricing model. All renewable energy firms listed in the National Stock Exchange of India are considered in this study. Three oil prices, such as West Texas Intermediate spot price, Europe Brent oil price and Indian basket oil price, are used in the regression. The analysis is done for the whole sample and its subgroups.

In the whole sample, stock returns of renewable energy firms respond positively to oil price changes in extreme market conditions only. In the subgroups of the renewable energy firms, the relationship between stock returns and oil price is positive and more robust in higher quantiles across all subgroup firms.

The contribution of the study is explained as follows. First, this study helps to explore the relationship between oil and stock returns of the renewable energy sector under different market conditions in the Indian context. Second, existing studies explore the effect of oil prices on stock returns of the renewable energy sector at the industry level, and most of the studies are in developed countries. To the best of the authors’ knowledge, this is the first study in the context of India. Third, this is a firm-level study

The aim of this paper is to examine the informational efficiency of prices of all exchange traded funds (ETFs) that are actively traded on the NYSE Arca, based on methodology developed by Chordia et al.

The authors estimate the speed of convergence to market efficiency based on short‐horizon return predictability from past order flows of 273 ETFs that were traded every day on the NYSE Arca during the first six months of 2008, and compare the resulting price formation process to that of shares traded on the NYSE and NYSE Arca.

Despite the significant differences in trading costs, volatility, and informational effects between ETFs and regular stocks, the paper documents that price adjustments to new information for ETFs occur in about 30 minutes, which is comparable to price adjustments for traditional stocks traded on Arca. In multivariate setting, the paper further shows that the speed of convergence to market efficiency of ETFs is not only significantly driven by volume, but also by the probability of informed trading.

The findings provide direct answers and insights to questions posed in a recent SEC concept release document. The analysis of the speed of convergence provides a feasible measure to assess how efficiently prices of ETFs respond to new information.

The authors are first to utilize the short‐horizon return predictability from historical order flow approach to evaluate the price formation process of ETFs and to provide evidence on the determinants of its efficiency.

In this paper we develop a numerical method for valuing multivariate European contingent claims whose payoffs depend on more than one log-normal stochastic variables. This is achieved by means of Gauss-Hermite Integrations, applied to the principal component analysis of correlation matrix to improve our computation speed. Several examples are discussed to compare with other methods.