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Evolution and stationarity are key time series empirical concepts which need theoretical assessment by extant research. This study presents a model to explain brand sales dynamics in emerging markets using two dimensions: sales behavior in time (stationary or evolution) and final position (negative, neutral or positive).

A three-step methodological approach was performed. First, individual brand sales series were classified (stationarity or evolution) after unit root tests. These series were then regressed against a time variable. These two steps enabled a qualitative classification of six proposed positions, ranging from the worst to the best scenario for marketing managers. A final multinomial model identified the marketing effect to these positions.

Descriptive statistics reveal an insignificant prevalence of stationary sales series and a small number of positive brand sales series (ascending or promising). The multinomial model shows that price is negatively associated to positive brand sales positions, the important effect of service strategies and how product decisions can lead to an avoidance of negative positions.

The model is limited to short time series of a unique transactional dataset from a multinational energy company based in Brazil.

The research provides a rational empirical framework to managers involved with decisions regarding brand sales dynamics in emerging markets.

The approach advance into the development of models to uncover conditions for market evolution and stationarity in a context marked by the shortage of data.

The Bass model was created to analyse the product life cycle (PLC) in order to help sales and marketing departments in their business decision making. The purpose of this paper is to analyse the diferences between the clients assisted and sales variables, to discover which of the two variables is the more useful for the estimation of the PLC phases through the Bass model, thus aiding the managers of company sales and marketing departments.

In this research, the authors analysed the 223,577 clients assisted by a nationwide network of car dealerships, who acquired 36,819 vehicles, during a 24-month period. In the analysis, the Bass model was applied to define the PLC phases; and nonlinear regression models were used to carry out the estimations.

The results show that more consistent estimates of the PLC phases are obtained from the clients assisted variable. This work has theoretical and practical implications that can help business management.

The most remarkable thing about this research is that we have shown that the functionality of the clients assisted variable is greater than the sales variable for the Bass model and, therefore, for PLC estimation.

The results of this research are very useful, since they allow marketing decision makers to obtain more consistent estimations of the PLC phases using the Bass model and the clients assisted variable. This is based on the fact that the use of this variable helps to detect if there is any deficiency in the design of the marketing strategy when the client does not make the purchase.

The data on clients assisted are as easily available to companies as sales data. However, the use of this variable improves PLC analysis and this allows an improvement in company forecasting. Thus, making the clients assisted variable a tool to strategically plan investments in innovation and marketing would reduce uncertainty in business management.

The purpose of this paper is to analyse the diferences between the clients assisted and sales variables, to discover which of the two variables is the more useful for the estimation of the PLC phases through the Bass model, thus aiding the managers of company sales and marketing departments.

Three major environmental changes are taking place regarding business-to-business salesforce. The first trend is the marketing discipline's shift from a product-focus to a service-focus. In response, firms are shifting their salesforce from a product-focus to providing integrated products and services or solutions to their customers. The second trend that is affecting salesforce is the enhanced utilization of technology, as technology is being used to handle some selling tasks (e.g., information provisioning). The third trend is globalization that is evolving to a stage where global salesforce originating from different countries is interacting with customers from different countries. This chapter suggests that these three trends are changing salesforce strategy, structure, and processes. The chapter reports on the decline in product-based salesforce, growth in customer-focused and global salesforce, globalization of salesforce, and the broader business and research implications. The shifts are dramatic and for researchers, it will be a new and fertile area of research.

This article aims to position current sales research in relation to what academics perceive as important future research areas for sales theory and practice. It makes the argument that after a 20‐year period of rapid growth and almost a decade of a transition phase, sales research is now a mature area of academic inquiry. The paper seeks to highlights gaps in current knowledge and promising avenues for future sales research endeavours.

The article is based on a survey of European sales academics; answers are mapped in matrices demonstrating fields of importance against research volume per subject over the past 20 years.

While sales research has made many theoretical and managerial inroads, there are still areas where research efforts would greatly enhance both practitioner and academic knowledge.

Researchers should focus their efforts on the highlighted areas, taking particular account of the interplay between sales and finance/accounting. This would allow researchers to address such issues as budgeting and forecasting more systematically than had been done heretofore.

The article combines perceptual data with Williams and Plouffe's meta‐analysis of published sales research to deliver a comprehensive and actionable picture of the state of sales research.

The aim of this paper is to analyze the determinants of the main phases of the innovation process in Portuguese manufacturing firms. The analysis will adopt as its main frame of reference an interactive model of the innovation process, on which empirical tests will be carried out, making use of tobit and probit models and simultaneous equation systems. It is broadly concluded that the relationships shown between the main variables that are typical of the innovation process in the context of Portuguese manufacturing firms are tenuous and unsystematic.

This paper aims to empirically analyse the relationship between the business model and the evolution of employment during the Great Recession, based on data from 75 industrial companies in the Corredor del Henares in Guadalajara, a reference area for being one of the fastest growing economic and business areas in Spain in recent decades.

The concept of the business model has been incorporated into organizational theory and practice over the last 25 years and continues to attract the interest of the academic and business community. The most recent research found in the literature has confirmed the relationship between business model and business performance, being directly connected to business performance and, therefore, to the creation of employment. However, the conclusions of the available studies are not directly scalable, as they refer to a specific sector or market.

The result confirms the positive impact of the business model on results and specifically, that talent management, through the value proposition and technology, has an impact on improving business performance. The study specifically confirms that talent integrated in organizations has an impact on the performance through a solid value proposition, scalable and adaptable to changes in the environment and whose transformation must be led by the top management. Talent integrates key partners and considers corporate social responsibility, sustainability, security and transparency as key factors in its management.

Thus, providing new and relevant information for research and business practice, and its conclusions are generalisable thanks to the multi-sector and multi-territorial nature of the sample selected.

In emerging economies, internationalization endeavors have been historically complex and uncertain. Issues such as competitiveness and financial volatility often act as detractors for exploring foreign markets. Nevertheless, state policies and commercial agreements have been boosting an increased participation in host economies, particularly relating to the metalworking sector. This study explores the underlying factors related to the internationalization of small- and medium-sized enterprises (SMEs) in two rising Latin American economies: Mexico and Peru. Comparisons are presented with the aim of understanding the global arena through both perspectives.

This paper aims to address two unique and important questions. First, how do recessions directly affect firms’ marketing spending decisions? Second, and more importantly, do firms which are more committed to marketing spending through past recessions achieve better stock market returns?

This study is based on a combination of National Bureau of Economic Research, COMPUSTAT and Center for Research in Security Prices data on 6,000 firms between 1982 and 2009 which are analyzed using panel data-based regression models.

The authors find that firms cut marketing spending during recessions. However, firms committed to marketing spending during past recessions achieve better stock market returns. The findings are found to be robust across B2B and B2C industries, different periods and US firms which vary on the proportion of their global revenue from non-US sales.

Top executives cut marketing budgets during recessions; however, if they can resist the pressures, and strategically continue to make marketing investments during recessions, they will achieve higher stock market returns.

This is the first paper to establish the longer-term (not short-term) positive stock market performance of continuous (not episodic) marketing spending through past recessions, i.e. the view that marketing spending is necessary (not discretionary) for stock returns.

Using online channels is an opportunity for small and medium-sized enterprises (SMEs) in the manufacturing industry to reach new markets and reduce the dependency on distributors. The challenge remains that of integrating new online channels into existing networks effectively. This paper aims to identify to what extent multichannel integration is enhanced by the innovation capability of manufacturing SMEs and the subsequent influence on their performance.

Data were collected by means of a survey aimed at managers of small manufacturing firms in Mexico and were analysed through an advanced partial least squares (PLS) approach via SmartPLS.

Manufacturing SMEs with more advanced innovation capability achieve higher levels of multichannel integration. In turn, when multichannel integration is more advanced, manufacturing SMEs enjoy better results with respect to sales, fulfilling marketing objectives and improving relationships with customers.

The model could be extended to accommodate other variables that may affect the effective integration of multiple channels.

Manufacturing SMEs can improve their results by integrating online channels with existing offline channels with a commitment to innovating in the market.

Analysing multichannel integration from the perspective of manufacturing firms, examining not only the positive consequences but also the underlying capabilities needed.