Abstract:
Business-to-Business (B2B) services companies invest heavily in acquiring very expensive assets that they hire out to serve their clients (e.g. UPS buys huge warehouses and hires them out to companies), and hence they engage in careful longterm planning and forecasting, especially when it concerns a new market. It is interesting to note that the client-firms, on the other hand, decide to hire those assets based mostly on the prevailing short-term market forces. Hence, it is important for the
companies which provide the assets for hire to also build the prevailing short-term market trends into their long-term forecasting and planning. In this paper, we develop a model for tracking these two simultaneously evolving and interacting patterns, namely the asset-availability (i.e. supply) and utilization (i.e. demand) patterns, in order to better understand the underlying processes, and thereby provide a basis for better forecasting. We test our models using three sets of data collected from the oil drilling industry, and find the proposed model to provide a good fit and forecasting efficiency.
Keywords: Marketing; B2B service; Knowledge updating; Demand and supply; Oil drilling
Author(s): Trichy V. Krishnana, Shanfei Fengb, , Tony Beebec
Source: International Journal of Forecasting 27 (2011) 1160–1177
Subject مدیریت بازاریابی :
Category مقاله مجله :
Release Date: 2011
Abstract:
The basic notion of relationship marketing entails that firms should strive for mutually beneficial customer relationships. By combining relationship marketing theory and operations research methods, this paper aims to develop and demonstrate a managerial decision-making model that business market managers can use to optimize and evaluate marketing investments in both a customer-oriented and economically feasible manner.
The intended contributions of our work are as follows. First, we add to the return on marketing literature by providing a first decision-making approach that explicitly assesses the optimization of marketing investments in terms of profitability, effort, and resource allocation. Second,we showhowthe risk ofmarketing investments can be assessed using sensitivity analysis. By means of an empirical study the versatility of our decision-making approach is demonstrated by assessing various critical decision making issues for business marketing managers in detail.
Keywords: Return on marketing, Relationship marketing, Optimization, Marketing decision making
Author(s): Sandra Streukens , Stan van Hoesel , Ko de Ruyter
Source: Industrial Marketing Management 40 (2011) 149–161
Subject مدیریت بازاریابی :
Category مقاله مجله :
Release Date: 2011