Search results

In an increasingly technology-driven retail landscape, retailers face the challenge of making the most effective decisions regarding the selection and use of innovative technology. Although previous research provides insights into the added value of technology, it does not directly guide retailers in overviewing and selecting technology that supports their sales operations. This chapter contributes to the field of retail technology studies by introducing a sales-oriented model intended to assist retailers in inventorying available technologies and making decisions regarding the selection and use of these technologies for their physical stores. The model uses an updated version of the seven steps of selling as a foundation and, in line with the resource life cycle, decision support system and self-service technology literature streams, proposes applying technology in such a way that it supports the stages of the retailer's sales process. This chapter concludes with a discussion of practical guidelines for applying the model.

Retail sales usually exhibit strong trend and seasonal patterns. Practitioners have typically used seasonal autoregressive integrated moving average (ARIMA) models to predict retail sales exhibiting these patterns. Due to economic instability, recent retail sales time-series data show a higher degree of variability and nonlinearity, which makes the ARIMA model less accurate. This chapter demonstrates the feasibility and potential of applying empirical mode decomposition (EMD) in forecasting aggregate retail sales. The hybrid forecasting method of integrating EMD and neural network (EMD-NN) models was applied to two real data sets from two different time periods. The one-period ahead forecasts for both time periods show that EMD-NN outperforms the classical NN model and seasonal ARIMA. In addition, the findings also indicate that EMD-NN can significantly improve forecasting performance during the periods in which macroeconomic conditions are more volatile.

A study of the price discounts granted by Morton Salt Company and other producers of table salt in the U.S. on their sales of table salt to grocery wholesalers and retailers. The discounts were found to be illegal under the Robinson-Patman Act by the Federal Trade Commission and the Supreme Court. The Commission and the Court believed that the discounts were unjustified price concessions granted to “large” buyers, consistent with the concerns of the Robinson-Patman Act. However, the evidence indicates that the most common discount – the “carload discount” – was received by virtually all buyers, regardless of the buyer’s size; the other discounts – “annual volume” discounts – though received primarily by “large” buyers, were likely cost based. The history of the discounts and likely reasons why they were granted are explored in detail.

COVID-19 accelerated change within the UK retail market. It encouraged the growth of online shopping, providing the necessary demand for grocers to invest in their operations, and transformed the economics of their businesses. As innovative new business models emerged, some existing retailers collapsed leading to significant changes on the high street. Landlords were also affected. As some retail tenants struggled to pay their rents, other parts of the sector prospered and sought additional warehouse capacity to cope with rising demand. Not only does this illustrate how different parts of the retail sector faired during COVID-19, but it also demonstrates how the move online has resulted in the emergence of new opportunities.

This chapter presents a review of the recent sales and use tax (SUT) literature for accountants, focusing on articles published between 2000 and 2011 in traditional accounting outlets. State and local taxes are an important component of accounting research, but the SUT element of state and location taxation has not been reviewed from an accounting perspective. This review indicates that most recent SUT research has focused on evaluating current or proposed SUT structures, or on empirically studying the antecedents and consequences of SUT policy. Behavioral researchers have substantial opportunities to contribute to the SUT field in future studies by conducting surveys, behavioral experiments, and qualitative case studies to further expand the field's understanding of SUT's antecedents and consequences. Overall, this chapter provides a comprehensive overview of recent SUT research that can help to foster interest of SUT within behavioral accounting research and beyond.

China represents around 20% of the world's population, and her economy is still performing well under economic crisis. Historical events have shaped different parts of China with different economic developments and cultural encounters. The most prominent difference is between Hong Kong and the Mainland. This chapter would like to examine the development and issues of fashion retailing in China. For better understanding, this chapter starts with a brief discussion on apparel industry development and fashion culture in Hong Kong and the Mainland, follows by historical development and then presents systems of fashion retailing in both Hong Kong and the Mainland. Desktop research and exploratory research techniques were employed. Stores of international fashion luxury brands in Hong Kong, Shanghai and Beijing were visited. Comparison of branding issues, particularly for luxury market in Hong Kong and the Mainland are discussed, so are future directions of fashion retailing in these places.

Several official institutions (NBER, OECD, CEPR, and others) provide business cycle chronologies with lags ranging from three months to several years. In this paper, we propose a Markov-switching dynamic factor model that allows for a more timely estimation of turning points. We apply one-step and two-step estimation approaches to French data and compare their performance. One-step maximum likelihood estimation is confined to relatively small data sets, whereas two-step approach that uses principal components can accommodate much bigger information sets. We find that both methods give qualitatively similar results and agree with the OECD dating of recessions on a sample of monthly data covering the period 1993–2014. The two-step method is more precise in determining the beginnings and ends of recessions as given by the OECD. Both methods indicate additional downturns in the French economy that were too short to enter the OECD chronology.

Retail, by definition, used to be an industry focused on local markets and aiming to distribute goods to consumers in a narrow geographical area. In developed market economies, the internationalization of retail operations started with global sourcing, while in Eastern Europe the process of retail internationalization intensified after the fall of communism in late 1980s and early 1990s. Although there are plenty of papers discussing the conceptual framework of retail internationalization, publications analyzing the present level of internationalization and the current status of specific geographic markets are scarce. Therefore, this chapter will analyze and compare the Croatian and Polish markets in order to explain the paths and drivers of retail internationalization in postcommunist economies.

Research has focused on the Polish and Croatian markets. The first and second part of the chapter explain retail internationalization per se on the basis of existing relevant literature, as well as elaborate on the process of retail internationalization in the postcommunist economies of Poland and Croatia. The main part of the chapter presents the results of a comparative study. This comparative study has been based on secondary data available in official statistical publications of Poland, Croatia, and European Union. As the source of information on large retailers, secondary data has been used as well. Our research analyzes key trends and calculates and presents key indicators showing the importance of retail in national economies.

Both Croatia and Poland are considered attractive host markets for the largest global retailers. Dynamics and intensity of retail internationalization have been different, but the process of retail internationalization is currently intensified in both countries. Retail internationalization is changing the scope of domestic market conditions. Several indicators and effects are observed in this chapter: growth of larger formats within the retail structure, growth in the number of employees per outlet, and growth of the share of trade in GDP creation.

The chapter explains the process of retail internationalization and the level of retail internationalization reached in Croatia and Poland. International retailers from different countries entered the Polish and Croatian markets driven by opportunities offered by these non-saturated markets. The process of internationalization, which is currently intensified, is analyzed in this chapter. Poland and Croatia are markets and countries with similar socioeconomic development. Therefore, this chapter contributes to a better understanding of retail internationalization and its effects on transitional, postcommunist economies.