Academic literature on the topic 'Retail trade – Forecasting'
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Journal articles on the topic "Retail trade – Forecasting"
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Smagin, R. S., and T. V. Lebedeva. "ANALYSIS AND FORECASTING FINANCIAL RISKS OF RETAIL TRADING NETWORKS." Intelligence. Innovations. Investment, no. 1 (2021): 54–64. http://dx.doi.org/10.25198/2077-7175-2021-1-54.
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The relevance of the problem under study is due to the fact that, despite the many works devoted to the theoretical and applied aspects of risk research, the specifics of the formation of financial risks in the activities of retail trade networks have not been sufficiently studied. In particular, there is no methodology and practical recommendations for quantitative risk assessment using statistical methods that allow to identify trends and patterns in the dynamics of risk indicators, to consider external and internal risk factors, the results of which should be used as a basis for developing measures to reduce the risk of retail trade. networks. The aim of the work is to improve the methodology for assessing financial risks based on methods of statistical, economic and financial analysis. The article presents the results of a quantitative assessment of financial risks according to the approach developed and tested on the data of the retail trade network “Magnit”. For a quantitative assessment of the financial risks of a retail trade network, the authors proposed a system of five profitability indicators. The analysis of trends and patterns in the dynamics of profitability indicators, as well as factors influencing them, was carried out using one-dimensional and multidimensional data sets. Forecasts of profitability indicators are not contradictory and indicate the presence of a risk of losses, therefore, a detailed assessment of financial risks was carried out. It was revealed that the indicators of profitability of the retail trade network “Magnit” in the analyzed period had a statistically significant relationship with the indices of the physical volume of retail trade and consumer prices, as well as the number of economic entities in retail trade. The assessment of the financial condition of the organization by indicators of financial stability and a comprehensive assessment by the five-factor model of E. Altman are given. The scientific novelty of the work consists in improving the methodology for assessing financial risks based on statistical, economic and financial methods of analysis, as well as developing proposals for reducing financial risks for network trading organizations. The proposed methodology and research results are of interest to decision makers in network trade organizations, regulatory bodies at the regional and federal levels. Prospects for further research on the issues of assessing and predicting financial risks of retail chains consist in a more detailed study of external factors, in particular, legal restrictions, changes in the level and structure of consumer demand due to the pandemic that began in 2020.
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García, Juan R., Matías Pacce, Tomasa Rodrigo, Pep Ruiz de Aguirre, and Camilo A. Ulloa. "Measuring and forecasting retail trade in real time using card transactional data." International Journal of Forecasting 37, no. 3 (July 2021): 1235–46. http://dx.doi.org/10.1016/j.ijforecast.2021.02.005.
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Murovana, Tetiana, Tetiana Kharchenko, and Nataliia Avramenko. "FEATURES OF MARKETING RESEARCH IN RETAIL TRADE." Economic discourse, no. 4 (December 2019): 114–22. http://dx.doi.org/10.36742/2410-0919-2019-4-12.
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Introduction. The development of the global retail market is accompanied by changes in approaches to the choice of methods of marketing research tools used in retail trade. Modern marketing research methods, which include tools and mechanisms for creating, promoting, distributing and exchanging information, play an important role in the context of the economy digitalization and the entry of Ukrainian companies into new markets. In view of this, there is a need to analyze the current state and trends of the retail market in Ukraine, to investigate the main groups of methods used in conducting marketing research, as well as to distinguish some of their types that are appropriate to use in the current conditions of functioning of the retail market in Ukraine. Methods. Historical and systematic approaches have been used to study the current state and trends of retail development. The study of the dynamics of the main indicators of retail trade was conducted using statistical methods of structure analysis, index method and method of dynamics series. The forecasting of the retail turnover of enterprises was carried out using linear approximation methods, in particular, the least-squares method. Grouping methods, as well as qualitative and quantitative research methods, were used to substantiate measures to improve marketing policies, research methods and tools. Results. The current state and trends of retail market development in Ukraine were analyzed by the authors. The main groups of methods that are used in conducting marketing research were investigated, as well as their separate types, which are expedient to be used in the current conditions of functioning of the retail Market in Ukraine. The stages of conducting marketing researches in retail trade are distinguished and the basic tasks which must be solved on each of them are defined. Discussion. The implementation of the proposed measures will help to identify innovative solutions to familiarize customers with new types of products, as well as to adapt specific methods of marketing research to the current conditions of functioning of the global retail market. In addition, the implementation of the proposed measures will allow to develop measures for timely response of the manufacturing companies to the existing requests of the retail market, ensuring the financial stability and solvency of the companies involved in the field of retail trade. Prospects for further research may include in-depth analysis of prospects for the use of large-scale processing financial technologies and development of special software for the application of specific methods of marketing research (point-of-sale audit, point-of-sale price analysis, check structure, mystery shopper, trading panel, ABC-analysis, XYZ-analysis, cross-analysis, hall-tests, home-tests, etc.). Keywords: marketing research, methods of marketing research, retail, e-commerce.
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KOÇ, Feden, Ahmet Çağdaş SEÇKİN, and Osman BAYRİ. "MAKİNE ÖĞRENMESİ İLE ULUSLARARASI MUHASEBEDE ERTELENMİŞ VERGİLERİN TAHMİNLEMESİ." Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 9, no. 2 (July 29, 2022): 1303–26. http://dx.doi.org/10.30798/makuiibf.1034685.
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The aim of this study is to estimate the possible deferred tax values and the TAS-TFRS profit/loss of 31 companies in three different sectors- the wholesale trade, retail trade and hospitality industry- whose shares are traded on Borsa Istanbul (BIST). This estimation is based on the companies' deferred tax values for the years 2015-2019 as well as twelve main economic parameters. Within the context of the study, the deferred tax output parameters, which companies will present in their annual financial reports in 2020, have been estimated using the following methods: the DTA value using the random forest method with an accuracy rate of 0,823, the net DTA value using the artificial neural networks method with an accuracy rate of 0,790, the DTL value using the random forest method with an accuracy rate of 0,823 and the net DTL value using the random forest method with an accuracy rate of 0,887. In addition, it has been discovered that the TAS-TFRS profit/loss, which is one of the output parameters, can be estimated using the random forest method with an accuracy rate of 0,629.
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Prabantarikso, R. Mahelan, Zaenal Abidin, Edian Fahmy, Mayda Tyastika, and Amabel Nabila. "Determinant of net interest income of commercial banks in Indonesia." Accounting 8, no. 3 (2022): 259–68. http://dx.doi.org/10.5267/j.ac.2022.1.002.
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This study aims to identify the factors that contribute to the formation of Net interest income (NII) for commercial banks in Indonesia in the short and long-term using the Vector Error Correction Model (VECM). The results showed that in the short term all variables in each period tend to adjust to achieve long-term balance. In the short term, the variables that affect NII are credit and NPL of large and retail trade, construction credit, transportation credit and NPL warehousing and communication, as well as lending rate facility. While in the variable length figures that affect NII are credit variables and NPL large and retail trade, Credit and NPL Transportation, warehousing and communication, other credit and Third-Party Funds (Deposit) collected. The analysis of Impulse Response Function can be proven that NII most quickly achieves stability when dealing with the shocks of large trade and retail NPL. Meanwhile, in the Forecasting Variance Decomposition analysis, it can be concluded that the variable that gives the greatest contribution to NII is the amount of construction credit.
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Lola, I. S., and A. B. Manukov. "Potential of Using the Results of Market Observations in Forecasting Employment in Small Businesses in Russia." Voprosy statistiki 28, no. 2 (May 3, 2021): 42–53. http://dx.doi.org/10.34023/2313-6383-2021-28-2-42-53.
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The article presents results of analysis of the predictive potential of short-term forecast estimates of employment level in the small business segment by four sectors of the Russian economy: manufacturing, construction, wholesale and retail trade.From the authors’ point of view, one of the promising sources of data for such estimates can be found in market observations of entrepreneurial activity, which now are a common source of economic information in national as well as international practice. These surveys play an important role in measuring the dynamics of employment in countries and industries, being a supplementary statistical tool.The objective of the work was to prove the existence of a stable statistically significant relationship between the predicted estimates of employment based on business (market) surveys and the dynamics of the corresponding statistical macro-aggregates in various sectors, and applicability of predictive models of employment change based on results of business (market) surveys.The novelty of the presented results (authors’ contribution) resides in the fact that for the first time, using an expanded sample (over 14 thousand respondents), were studied the possibilities of predicting labour market indicators in small businesses based on leading data from business surveys, examining separately retail trade, wholesale trade, construction, and manufacturing. According to the results obtained based on the Granger causality and pseudo-out-of-sample analysis, in all the industries under consideration, entrepreneurial assessments and expectations are effective predictive indicators for forecasting employment dynamics in the short term (two to four months) and identifying turning points in employment growth in the small business segment. The most sensitive predictive estimates were found in the retail and wholesale sectors, with the best results obtained for wholesale trade. For this reason, the authors recommend using the employment expectations indicator primarily in these sectors to monitor the level of employment and unemployment.
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LABURTSEVA, Olena, and Halyna ALDANKOVA. "MARKETING COMMUNICATION SYSTEM OF RETAIL ENTERPRISES." Economy of Ukraine 2018, no. 9 (October 5, 2018): 139–52. http://dx.doi.org/10.15407/economyukr.2018.09.139.
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The actual problem of marketing communications management of Ukrainian retailers from the point of view of the system approach is considered. It is shown that the specificity of these marketing communications is determined both by the goals they are aimed at, and by means of communication. The objectives of marketing communications are: formation of the brand image of retailer, attracting consumers to visit places of sale, incentive to make a purchase, promotion of consumer satisfaction and ensuring the consumer loyalty. The main types of marketing communications are advertising, sales promotion, public relations, direct marketing, integrated marketing communications at places of sale and personal sales. Within each type, subspecies of traditional and electronic communications are singled out. A systemic approach to managing marketing communications in the modern conditions should be based on the principles of purposefulness, customer focus, specificity, integration, interactivity, individualization, optimality and social ethics. At the same time, the success of communications is determined primarily by the extent to which they are convenient and useful to consumers. To implement these principles, it is proposed to implement in the process of managing the marketing communications system of retail enterprises such specific functions as marketing researches of consumer attitudes towards communications, adjustment of communications based on research results and forecasting the communicative effects. Approbation of the proposed methodological approach is made using data of enterprises of retail trade networks, which carry out sales of household electrical goods, information and communication equipment. It has been established that trade networks are now more intensively using less important for consumers types of communications, and vice versa. Changing the structure of the marketing communications system taking into account the benefits of consumers will improve the indicators of the communicative effects of marketing communications; this will enhance the competitiveness and economic efficiency of retail businesses in Ukraine.
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Kopchykova, Inna. "FEATURES OF THE DEFINITION «OPERATIONAL ACTIVITY OF TRADE NETWORKS»." Scientific Bulletin of Mukachevo State University. Series “Economics” 1(13) (2020): 92–96. http://dx.doi.org/10.31339/2313-8114-2020-1(13)-92-96.
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From the formation of effective strategic goals and improvement of operational activities depends on the optimization of production methods, planning the development of new products, changing the cost of production, planning and forecasting sales. The introduction of new areas of operational activity is an effective strategic development. The relevance of the research topic is due to the development of modern formats of trade and the need to implement new solutions for operational management, in terms of improving the effectiveness and quality of basic management functions – planning, organization, management and control. The retail industry is in a constant process of transformation. Economists cannot say how much the new formats will be in demand. Determining the mechanism of functioning of trade networks in Ukraine has not yet been the subject of extensive research, which has a negative impact on the practice of their operation. The article raises the relevance of the concept of operational activity of retail chains as an economic category. The essence of retail operations is considered. The purpose of the article is to study the concept and clarify the economic category «operational activities of the trade network». The main task is to study the nature and components of retail operations, as well as to develop ways to optimize operational management, the main of which are well-developed logistics schemes, electronic sales channels, organization of food halls and food courts, digitalization and personalization, construction of omnichannel communication networks and the consumer, the use of big data to improve customer service. Based on the use of general economic research methods, the approaches of scientists to the interpretation of the concept of "operational activity" are analyzed and systematized. The scientific novelty of the study is to clarify the essence and highlight the most important characteristics of the operational activities of retail in Ukraine. The practical significance lies in the substantiation of the main components of the operational activity of the trade network. Based on the study, it is determined that operating activities in the process of financial and economic activities occupy a basic place, as they are the basis for stimulating the development of entrepreneurial activity. Keywords: means of operational activity, objects of operational activity, operational activity, components of operational activity, trade network.
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Todorov, Lyubomir. "COVID-19 and domestic trade in Bulgaria." Problems and Perspectives in Management 20, no. 4 (October 26, 2022): 111–26. http://dx.doi.org/10.21511/ppm.20(4).2022.09.
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Domestic trade is an essential contributor to economic growth and an indicator of the people’s welfare. It is vulnerable to the COVID-19 crisis due to the pandemic itself and the government’s measures against it. An accurate estimation of the pandemic influence on domestic trade is needed for effective economic intervention in support of the economic recovery and improvement of the well-being of the population. The aim of this paper is to estimate the magnitude and timing of the COVID-19 impact on domestic trade in Bulgaria. The data used in the study covered the period 2000–2020 with monthly data for the indicator “Turnover for wholesale and retail trade and repair of motor vehicles and motorcycles in Bulgaria.” This paper employed unit root tests, autocorrelation function analysis, building, estimating, forecasting ARIMA and ARCH models, and intervention analysis. The results revealed that Bulgarian domestic trade followed the difference-stationary process as unit root tests failed to reject the random walk hypothesis. The COVID-19 impact on domestic trade proved to be long-lasting and has permanently decreased its level since March 2020. The timing of the impact coincided with the government’s measures against the pandemic. The drop in the volume of domestic trade was substantial and estimated at 19.3%. Following the nature of domestic trade, determined and decisive intervention is necessary if the Bulgarian government seeks to expand domestic demand and successfully procure economic recovery.
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Hirche, Martin, Juliane Haensch, and Larry Lockshin. "Comparing the day temperature and holiday effects on retail sales of alcoholic beverages – a time-series analysis." International Journal of Wine Business Research 33, no. 3 (January 18, 2021): 432–55. http://dx.doi.org/10.1108/ijwbr-07-2020-0035.
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Purpose Little research on the influence of external factors, such as weather and holiday periods, on retail sales on alcoholic beverages is available. This study aims to investigate how weekly retail sales of different alcoholic beverages vary in association with daily maximum temperatures and annual federal holidays across selected US counties in the years 2013 to 2015. The research provides information, which can contribute to better sales forecasts. Design/methodology/approach Secondary data of weekly retail sales (volume) of alcoholic beverages from 37,346 stores in 651 counties in the USA are analysed. The data cover on average 21% of all existing US counties and 12% of the total US off-trade retail sales of alcoholic beverages in the period studied (Euromonitor, 2017). Additional data of federal holidays and meteorological data are collated for each county in the sample. Seasonal autoregressive integrated moving average models with exogenous regressors (SARIMAX) are applied to develop forecasting models and to investigate possible relationships and effects. Findings The results indicate that off-trade retail sales of beer, liquor, red and white wine are temperature sensitive throughout the year, while contrary to expectations rosé, sparkling and other wines are not. Sales sensitivities to temperature also differ by geography. In the warmest regions, liquor and white wine sales do not respond to temperature changes, as opposed to the coolest regions, where they are responsive. Public holidays, particularly Easter, Thanksgiving, Christmas and New Year holidays, represent a constant influencing factor on short-term sales increases for all investigated alcoholic beverage categories. Originality/value This is the first large-scale study of weather and holiday-related sales variations over time, across geographies and different alcoholic beverage categories. Seasonal and non-seasonal short-term sales variations are important for retailers and manufacturers alike. Accounting for expected changes in demand accommodates efficiencies along the supply chain and has implications for retail management, as well as adjusting marketing efforts in competing categories.
Dissertations / Theses on the topic "Retail trade – Forecasting"
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Лисьонок, В. С. "Обґрунтування перспектив розвитку галузі роздрібної торгівлі (на прикладі Одеського регіону)." Thesis, Одеський національний економічний університет, 2021. http://local.lib/diploma/Lysonok.pdf.
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Доступ до роботи тільки на території бібліотеки ОНЕУ, для переходу натисніть на посилання нижчеУ роботі розглядається планування як метод державного управління та необхідність його застосування у сучасних умовах, розглянуто нормативно-правове забезпечення та особливості організації планування розвитку галузі роздрібної торгівлі, описано методологію планування розвитку галузі роздрібної торгівлі. Наведено загальну характеристику Одеської області та визначено місце галузі роздрібної торгівлі в економічному розвитку регіону, проаналізовано рівень розвитку роздрібної торгівлі в регіоні, визначено конкурентні переваги та обмеження перспективного розвитку галузі роздрібної торгівлі в Одеській області. Визначено пріоритетні напрями розвитку роздрібної торгівлі в регіоні, запропоновані можливі заходи активізації економічного розвитку роздрібної торгівлі, складено прогноз показників розвитку галузі роздрібної торгівлі в Одеському регіоні.
The paper considers planning as a method of public administration and the need for its application in modern conditions, considers the legal framework and organization of planning for the development of the retail sector, provides a methodology for planning the development of the retail sector. The general characteristics of Odesa region and the place of retail trade in the economic development of the region have been given, the level of retail trade development in the region has been analyzed, competitive advantages and limitations of perspective development of retail trade in Odesa region have been determined. The priority directions of development of retail trade in the region have been defined, examples of possible measures of activization of economic development of retail trade have been proposed, the forecast of indicators of development of branch of retail trade in the Odessa region has been carried out.
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Brand, Trevor Stanley. "The development of a sustainable and cost effective sales and distribution model for FMCG products, specifically non alcoholic beverages, in the emerging markets of the greater Durban area." Thesis, 2005. http://hdl.handle.net/10413/2269.
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ABI has a sophisticated and effective distribution fleet which delivers canned and bottled non alcoholic beverages to 12000 wholesale and retail outlets in the Durban Metropole and to 46000 outlets nationally. Delivery is normally executed once per week, 48 hours after a separate order is taken by an account manager. In the more rural or "emerging market" areas traditional retail outlets such as supermarkets and superettes are scarce and reliance is made on spaza and house shops. Cash flow and storage space is limited. The sales and distribution calls are expensive, relative to the size order that the spaza would place. Spaza shop owners rely on distributors or collect from wholesalers. These outlets often run out of stock. Sales revenue is thus not maximized. Outlet development is marginal. The writer embarked on a research project to develop a sustainable and cost effective Sales and Distribution model in order to address these constraints in the Emerging Market territories of ABI Durban. Traditional theory turns to channel distribution as a means to effectively reaching an entire retail market. Levels are thus added to the distribution channel. The research however showed that service levels are sometimes compromised. The model that was developed returns ABI to DSD (direct service delivery) via specially designed vehicles and combines the function of "preseller" and "delivery merchandiser" on a dedicated route. Although a marginal increase in cost per case has been experienced, deliveries are direct to store, at least twice per week. Sales growth in these routes have been in excess of 85% while the total Umlazi area grows at 13%. Customer service levels, as surveyed, are exceptional. Although the model was specifically designed by ABI Durban for use in Durban, the concept has been adopted as a best practice and is being "rolled out" across the business. By the end of 2005, 10% of ABl's fleet nationally will function as MOTD (Merchandiser Order Taker Driver) routes. Additional vehicles have been ordered for delivery during the period July 2005 to September 2005 in order for this to be achieved. This model has assisted ABI in achieving its goal of maximizing DSD and lifting service levels to its customers (retailers). Revenue has increased significantly along with volume in these areas. Invariably MOTD acts as a significant barrier to competitor entry in those geographic areas where it is utilized. The Merchandiser Order Taker Driver (MOTD) model is successful and has potential for wider use, even in more developed markets.Thesis (MBA)-University of KwaZulu-Natal, 2005.
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Dias, Neide Cristina Pacheco. "Modelização da previsão do consumo retalhista : qual a contribuição dos stocks para o resultado da empresa?" Master's thesis, 2012. http://hdl.handle.net/1822/22861.
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Dissertação de mestrado em Economia Monetária, Bancária e FinanceiraA recessão económica de 2008 promoveu um incremento da competitividade do mercado atual, com efeitos não só no panorama macroeconómico, mas também microeconómico. As decisões estratégicas são um dos elementos que distingue o desempenho e a capacidade das empresas numa economia de mercado. No retalho, o stock é um fator que influencia de forma decisiva o desempenho financeiro das operações. Devido à crescente volatilidade da procura, por parte dos consumidores finais, e aos efeitos da recessão económica e financeira, a previsão daquela pode ser definida como um fator diferenciador para o sucesso da empresa no mercado. O objetivo deste trabalho é promover um aumento da eficiência no controlo de desequilíbrios de stock e eficiência da cadeia de abastecimento. Para tal, o trabalho centra-se na previsão do consumo retalhista de uma empresa portuguesa, doravante designada por “Empresa Portuguesa” considerando as seguintes categorias: Categoria A (lazer), Categoria B (casa), Categoria C (arrumação), Categoria D (cultura), Categoria E (bricolagem), Categoria F (animais e plantas) e Categoria G (parcerias de marketing). Neste sentido, foram aplicados modelos de previsão de séries temporais utilizando-se os dados históricos entre o período diário de 02 de janeiro de 2009 a 31 de março de 2012 considerando uma empresa de retalho que opera a nível nacional. Foram utilizados os modelos ARMA, SARMA e GARCH, por forma a considerar as sazonalidades inerentes e o facto de se tratar de uma amostra de elevada frequência. Através da previsão, considerando o modelo mais adequado através dos critérios de precisão de previsão referidos por Chu e Zhang (2003), conseguiu-se delinear o consumo futuro da Empresa Portuguesa. Devido à forte sazonalidade e heteroscedasticidade da amostra, os resultados obtidos pelos modelos empíricos SARMA e ARMA-GARCH revelam-se os mais apropriados para a previsão da procura do consumo retalhista.
The 2008 economic recession promoted the increase of market competitiveness, - affecting bothmacroeconomic and microeconomic perspectives. Strategic decisions are one of the elements that distinguish the performance and firms in a market economy. In retail, stock is one of the aspects that influence most significantly the financial performance of operations. Due to the increasing volatility of demand by end consumers created by economic recession and financial crisis, forecasting that demand, can be a differentiating factor in the success of the company in the market. The objective of this paper is to promote the increase of efficiency in stock control imbalances and reduce costs. to this end, this paper focuses on forecasting the consumption of a retail Portuguese company, henceforth designed “Portuguese Company” considering the following categories: Category A (leisure), Category B (home), Category C (storage), Category D (culture), Category E (DIY), Category F (animals and plants) and Category G (marketing partnerships). With that in mind, models were applied for time series forecasting using historical data from the diary period of 02 January 2009 to 31 March 2012 considering a retail company in the domestic market. We have used the ARMA, SARMA and ARMA-GARCH templates in order to consider the intrinsic seasonality and the high frequency of the sample. Through prediction, considering the most appropriate model using the criteria of predictive accuracy considered by Chu and Zhang (2003), we have managed to outline the future consumption of the Portuguese Company. Due to strong seasonality and heteroscedasticity of the sample, the results obtained by empirical models SARMA and ARMA-GARCH are the most adequate in forecasting the demand for retail consumption.
Books on the topic "Retail trade – Forecasting"
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Alberta. Retail industry. [Edmonton]: [Government of] Alberta, 2006.
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Loubser, M. G. Forecast of retail sales for 1991. Pretoria: Bureau of Market Research, University of South Africa, 1991.
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1946-, Sekine Takashi, ed. Hannun e ponŭn Han-Il somae yutʻong chŏnjaeng. Sŏul-si: Chungang Kyŏngje Pʻyŏngnonsa, 2002.
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Tietz, Bruno. Einzelhandelsperspektiven für die Bundesrepublik Deutschland bis zum Jahre 2010. Frankfurt am Main: Deutscher Fachverlag, 1992.
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Humphries, Gavin. The outlook for UK retailing in the 1990s. London: Financial Times Business, 1993.
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Dawson, John A. Future patterns of retailing in Scotland. [Edinburgh]: Scottish Executive Central Research Unit, 2000.
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Elitzak, Howard. Quarterly forecasting of meat retail prices: A vector autoregression approach. [Washington, DC]: U.S. Dept of Agriculture, Economic Research Service, Commodity Economics Division, 1989.
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A buyer's life: A concise guide to retail planning and forecasting. New York: Fairchild Books, 2010.
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Franchises dollar$ & sense: A guide for evaluating franchises and potential franchise earnings. Dubuque, Iowa: Kendall/Hunt Pub. Co., 1991.
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Lindstr©œm, Martin. Clicks, bricks & brands. South Yarra, Vic: Kogan Page, 2001.
Find full textBook chapters on the topic "Retail trade – Forecasting"
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Jagger, Gregory, and Gökcay Balci. "Critical Success Factors for Effective Backhauling in Distribution Channels of British Supermarkets." In Handbook of Research on Recent Perspectives on Management, International Trade, and Logistics, 265–81. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5886-7.ch014.
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An effective backhaul in distribution may help organizations reduce their costs and increase operational efficiency. Effective backhauling can also help companies in their societal marketing facilities by reducing carbon emissions. The purpose of this study is to identify and rank critical success factors in effective backhauling. Analytical hierarchical process method is conducted on managers working in the distribution of supermarket retail chains in the UK. A total of six factors are identified based on the literature review and qualitative interviews with managers. According to overall results, the most important critical success factor is found to be effective delivery planning followed by effective communication with suppliers and demand forecasting. However, different groups in the sample have different rankings. According to third party logistics managers, the most important critical success factor is collaborative logistics.
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Hooke, Angus, and Harpreet Kaur. "The Economies of East Asia." In Emerging Business and Trade Opportunities Between Oceania and Asia, 17–31. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4126-5.ch002.
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In 2018, East Asia accounted for accounted for 31% of gross world product (GWP). A global forecasting model developed by Hooke and updated by Hooke, Alati, and Kaur for the first three chapters of this book suggests that the region's share will remain at about this level until 2050, with the effects of global labour productivity convergence more than offsetting East Asia's relatively slow work force growth. Thereafter, the share will decline to 18% by 2100 due mainly to more rapid productivity and work force growth in West Asia and Africa. China is expected to retain its position as the world's largest economy until about the middle of this century, at which time its GDP will be more than 2.5 times that of the United States. An important driver of growth in East Asia during the coming decades will be Indonesia, whose share of GWP is forecast to rise from 2.6% in 2018 to 3.8% by 2050.