Economic Geographical Analysis of The Finnish Paper Industry

The purpose of this academic economic geographical dissertation is to study and describe how competitiveness in the Finnish paper industry has developed during 2001–2008. During these years, the Finnish paper industry has faced economically challenging times. This dissertation attempts to fill the existing gap between theoretical and empirical discussions concerning economic geographical issues in the paper industry. The main research questions are: How have the supply chain costs and margins developed during 2001–2008? How do sales prices, transportation, and fixed and variable costs correlate with gross margins in a spatial context? The research object for this case study is a typical large Finnish paper mill that exports over 90 % of its production. The economic longitudinal research data were obtained from the case mill’s controlled economic system and, correlation (R2) analysis was used as the main research method. The time series data cover monthly economic and manufacturing observations from the mill from 2001 to 2008. The study reveals the development of prices, costs and transportation in the case mill, and it shows how economic variables correlate with the paper mills’ gross margins in various markets in Europe. The research methods of economic geography offer perspectives that pay attention to the spatial (market) heterogeneity. This type of research has been quite scarce in the research tradition of Finnish economic geography and supply chain management. This case study gives new insight into the research tradition of Finnish economic geography and supply chain management and its applications. As a concrete empirical result, this dissertation states that the competitive advantages of the Finnish paper industry were significantly weakened during 2001–2008 by low paper prices, costly manufacturing and expensive transportation. Statistical analysis expose that, in several important markets, transport costs lower gross margins as much as decreasing paper prices, which was a new finding. Paper companies should continuously pay attention to lowering manufacturing and transporting costs to achieve more profitable economic performance. The location of a mill being far from markets clearly has an economic impact on paper manufacturing, as paper demand is decreasing and oversupply is pressuring paper prices down. Therefore, market and economic forecasting in the paper industry is advantageous at the country and product levels while simultaneously taking into account the economic geographically specific dimensions.

Enhancing Collaboration Between Marketing and Sales

Researchers’ interest toward cross-functional relationships has increased over the last decades, indicating the importance of collaboration of different functions. However, marketing-sales relationship has started to interest researchers only recently, even though collaboration between these functions is critical for companies’ success and customer satisfaction. The purpose of this study is to examine how collaboration between marketing and sales can be enhanced, and thus explore marketing-sales relationship and factors influencing on the collaboration between these functions. Literature review of this study draws together relevant literature and research concerning the topic. Empirical part explores marketing-sales relationships in a b-to-b company. The empirical research was conducted through six semi-structured interviews. Interviewees represented three different departments - each department’s marketing and sales manager were interviewed. All the interviewees considered that marketing-sales collaboration within the company should be improved. In the analysis certain factors impeding as well as facilitating the collaboration were recognized. Based on these, and lack of facilitating factors, the marketing-sales relationships within the company were defined as aligned relationships. Consequently, marketing-sales collaboration should be enhanced in all the departments by strengthening the facilitative elements. This study provides an overall view on marketing-sales collaboration, its elements and relationship types. Based on this study one can understand factors influencing on the marketing-sales collaboration and recognize the types of marketing-sales relationship.

Marketing-Sales Cooperation and its Relation on Direct Sales Performance: an Example of a Medium-sized Oil Company

The study touches upon marketing-sales departments’ cooperation and investigates marketing-sales cooperative model within the case company. So that research increases understanding of linkages between Marketing and Sales departments with an illustrative example of Russian medium-sized oil company (LLC Neste St. Petersburg), the subsidiary of Finnish-based Neste Oil. The empirical study is done from marketing and sales perspectives. And for sales main attention was brought to direct sales, both B2B and B2C. Research considers all five domains of cooperation, and among others, study reveals the attitude towards external (market) and internal (product) knowledge, and its mutual use by marketing and sales managers. A qualitative research method, participant observations, and in-depth interviews with upper-management made it possible to explore all facets of joint work. Moreover, research responses the changes in a model of cooperation between marketing and sales when moving from medium size to large company.

The role of business information and knowledge in sales steering

The objective of this study is to find out how sales management can be optimally supported with business information and knowledge. The first chapters of the study focus on theoretical literature about sales planning, sales steering, business intelligence, and knowledge management. The empirical part of the study is a case study for which the material was collected through interviews with the selected people of the company. The findings from the interviews were analyzed, and possible suggestions for solving the problems were made. The case study revealed that sales management requires a multitude of metrics and reports to steer the sales to the desired direction. The information sources can be internal and external, and the optimal solution for satisfying the information needs is a combination of both of these. The simple information should be turned into knowledge by merging the intellectual assets with the information from the firm’s transaction processing systems, in order to promote organizational learning and effective decision-making.

Towards a Strategic Sales Channel Partnership: A Case Study from the IT Services Industry

Strategic partnerships have become a key to competitive advantage and success in a dynamic, global business environment. Partnering provides a strategic response to complex offerings that need multiple sources of technology and knowledge, allowing companies to offer a wider range of services and solutions to meet their customers’ needs. Companies that collaborate with strategic partners in sales channels may significantly grow their business and improve their prospects of winning major contracts. As a consequence, companies are increasingly transforming their go-to-market strategies and sales channel structures to align with the need to create added value to customers together with a business partner. The research objective of this case study is to review and assess the success of an established sales channel partnership in IT services industry and to find ways how to develop it towards a strategic collaboration. The research consists of two main parts. The first part reviews the literature, concluding with the identification of the critical success factors for partnering. The second part sets out for the case findings, focusing on how the success of the established sales channel partnership is perceived by key executives within the partner organizations, and further what actions are required to make the sales channel partnership and joint go-to-market more strategic.

Exploring relationship between marketing and sales - a case study of B2B ICT solution sales

Following the current trend of companies in changing and developing their businesses from transactional approach to relationship and solution oriented approach has set new requirements to internal cooperation of companies too. The relationship between marketing and sales has been identified to be critical to company's success here, but surprisingly little is known about it. The purpose of this study was to deepen understanding of the relationship between sales and marketing in business-to-business sales from operative sales employees' perspectives in solution selling context. The aim was to develop an explorative analytical construction and framework of the interface. The study was conducted as a literature review and an empirical qualitative explorative single case study. The data was collected by conducting six thematic interviews with sales employees of the case company. Observing sales and marketing, written documents and other materials used in sales were used as secondary source of information. The data was analyzed using qualitative case study analysis methods. The findings of the study support previous research findings of the interface between marketing and sales but also bring new propositions as analytical framework to construct the interface. As such, the interface was found to be a multi-dimensional and complex dynamic construction. As results of this study, there was an exploratory framework constructed. The construction consists of three explorative contexts of the interface: internal context, relationship emphasizing context and solution selling context. These contexts are further divided into lower levels as an outcome of the analysis. In addition the identified contexts, there are also conceptual domains identified, which are common to all the contexts. The role of mutual, cross-functional knowledge creation was found to be central in the interface.

Applications of augmented reality for sales in apparel industry in Russia

The sustainable growth of video interactivity technologies on different platforms in the lasts years opens good prospects for augmented reality technology adoption on different markets. In the end of 2011 there was an improvement in technology which allows building the 3D model of human body. Such an improvement could be used in apparel industry. The main goal of the study is to understand the level of acceptance of augmented reality as a technology on the Russian apparel market. For a more accurate investigation, a new model accounting for augmented reality characteristics, as well as for similarities and differences between online and offline customer behavior in apparel industry, was developed. As a result of the survey, the weights of different purchase intention factors for Russian consumer were found, and the information about Russian consumers’ preferences towards the augmented reality features in apparel market, especially in fitting time, real-time interaction and fitting quality peculiarities, was presented.

Price spike forecasting in a competitive day-ahead energy market

Electricity price forecasting has become an important area of research in the aftermath of the worldwide deregulation of the power industry that launched competitive electricity markets now embracing all market participants including generation and retail companies, transmission network providers, and market managers. Based on the needs of the market, a variety of approaches forecasting day-ahead electricity prices have been proposed over the last decades. However, most of the existing approaches are reasonably effective for normal range prices but disregard price spike events, which are caused by a number of complex factors and occur during periods of market stress. In the early research, price spikes were truncated before application of the forecasting model to reduce the influence of such observations on the estimation of the model parameters; otherwise, a very large forecast error would be generated on price spike occasions. Electricity price spikes, however, are significant for energy market participants to stay competitive in a market. Accurate price spike forecasting is important for generation companies to strategically bid into the market and to optimally manage their assets; for retailer companies, since they cannot pass the spikes onto final customers, and finally, for market managers to provide better management and planning for the energy market. This doctoral thesis aims at deriving a methodology able to accurately predict not only the day-ahead electricity prices within the normal range but also the price spikes. The Finnish day-ahead energy market of Nord Pool Spot is selected as the case market, and its structure is studied in detail. It is almost universally agreed in the forecasting literature that no single method is best in every situation. Since the real-world problems are often complex in nature, no single model is able to capture different patterns equally well. Therefore, a hybrid methodology that enhances the modeling capabilities appears to be a possibly productive strategy for practical use when electricity prices are predicted. The price forecasting methodology is proposed through a hybrid model applied to the price forecasting in the Finnish day-ahead energy market. The iterative search procedure employed within the methodology is developed to tune the model parameters and select the optimal input set of the explanatory variables. The numerical studies show that the proposed methodology has more accurate behavior than all other examined methods most recently applied to case studies of energy markets in different countries. The obtained results can be considered as providing extensive and useful information for participants of the day-ahead energy market, who have limited and uncertain information for price prediction to set up an optimal short-term operation portfolio. Although the focus of this work is primarily on the Finnish price area of Nord Pool Spot, given the result of this work, it is very likely that the same methodology will give good results when forecasting the prices on energy markets of other countries.

Forecasting of wind speeds and directions with artificial neural networks

In this master’s thesis, wind speeds and directions were modeled with the aim of developing suitable models for hourly, daily, weekly and monthly forecasting. Artificial Neural Networks implemented in MATLAB software were used to perform the forecasts. Three main types of artificial neural network were built, namely: Feed forward neural networks, Jordan Elman neural networks and Cascade forward neural networks. Four sub models of each of these neural networks were also built, corresponding to the four forecast horizons, for both wind speeds and directions. A single neural network topology was used for each of the forecast horizons, regardless of the model type. All the models were then trained with real data of wind speeds and directions collected over a period of two years in the municipal region of Puumala in Finland. Only 70% of the data was used for training, validation and testing of the models, while the second last 15% of the data was presented to the trained models for verification. The model outputs were then compared to the last 15% of the original data, by measuring the mean square errors and sum square errors between them. Based on the results, the feed forward networks returned the lowest generalization errors for hourly, weekly and monthly forecasts of wind speeds; Jordan Elman networks returned the lowest errors when used for forecasting of daily wind speeds. Cascade forward networks gave the lowest errors when used for forecasting daily, weekly and monthly wind directions; Jordan Elman networks returned the lowest errors when used for hourly forecasting. The errors were relatively low during training of the models, but shot up upon simulation with new inputs. In addition, a combination of hyperbolic tangent transfer functions for both hidden and output layers returned better results compared to other combinations of transfer functions. In general, wind speeds were more predictable as compared to wind directions, opening up opportunities for further research into building better models for wind direction forecasting.

Development of sales invoicing process in industrial services

The objective of this Master’s thesis is to find ways to streamline the invoicing process of the case company. In order to streamline the process, the bottlenecks and development areas of the present invoicing process needs to be identified. The bottlenecks are based on interviews made to personnel. The thesis also offers solutions to overcome the identified bottlenecks. The problem is the slowness of the invoicing process which should get rid off. The slow invoicing process causes delays in obtaining payments. There are many reasons for the slowness and inefficiency of the invoicing process. One of the biggest reasons is that the information systems are not deployed entirely. It causes additional work for everyone. Practices with the customers affect also to the smooth flow of invoicing. The contracts determine when the customer can be invoiced but also work approvals, missing work orders and customer’s own invoicing basis slow the process. The fastest and cheapest solution is to deploy the systems better and do things correctly. Thus duplicated work would decrease and resources would be saved. The work allocation should be modified and the practices with customer should be influenced too. In the future the meaning of IT should be highlighted and new devices exploited.

Benefits of sales force automation to salespeople and to their customers in business-to-business markets

This study applied qualitative case study method for solving what kind of benefits salespeople and their customers perceived to gain when sales reps used a specific sales force automation tool, that defined the values and identified segment that best fit to each customer. The data consisting of four interviews was collected using semi-structured individual method and analyzed with thematic analysis technique. The analysis revealed five salespeople perceived benefits and four customer perceived benefits. Salespeople perceived benefits were improvements in customer knowledge, guidance of sales operations, salesperson-customer relationship building, time management and growing performance. Customer perceived benefits were information transmission, improved customer service, customer-salesperson relationship building and development of operations, which of the last was found as a new previously unrecognized customer benefit.

Integrating Use of Customer Information Throughout Multiple Sales Channels to Create Customer Competence

Customer knowledge management (CKM) practices enable organizations to create customer competence with systematic use of customer information that is integrated throughout the organization. Nonetheless, organizations are not able to fully exploit the vast amount of data available. Previous research on use of customer information is limited especially in a multichannel environment. The aim of this study was to identify the main obstacles for utilizing customer information efficiently across multiple sales channels. The study was conducted as a single case study in order to gain deeper understanding of the research problem. The empirical findings indicate that lack of CKM practices and a common goal are major challenges obstructing effective utilization of customer information. Furthermore, decentralized organizational structure and insufficient analytical skills create obstacles for information sharing and capabilities to process information and create new knowledge. The implications of the study suggest that in order to create customer competence organizations should shift their focus from technology to the organizational factors affecting use of information and implement CKM practices throughout the organization.

Customer orientation of sales personnel: Implications for service quality

Prior customer orientation research has concentrated mainly on studying the economical potential of customer orientation to companies. Service quality research instead has concentrated on emphasizing the evaluation of service quality from the customer’s perspective. This means that the service providers lack important information regarding customer orientation and service quality they would need for managerial purposes such as selecting and training employees. Therefore, there is an emerging need to study how customer orientation and service quality relate to company processes, policies and employees, and this study answers to those calls. The objective of this study was to examine what is the role of sales personnel’s’ customer orientation in quality of service delivery and what features support the development of customer orientation among sales personnel. Also the components customer orientation were studied extensively in order to understand how they relate to service quality. The empiric part of the study was conducted as a qualitative research by interviewing seven sales people from operative, tactical and strategic levels of the case corporation in order to get a broader view for customer orientation. The findings propose that both organizational factors and individual factors are affecting customer orientation construct inseparably. Organizational factors are bundled in this study under standards, support and systems, whereas individual factors are formed of employees’ personal attributes, motivation and self-perceived decision making authority. The findings suggest that in the service delivery process at an operative level, customer orientation appears largely in the employees’ individualistic characteristics. Their social and technical skills and motivation to serve customers are the most identifiable factors for customer orientation and consequently, quality service. However, organizational standards, support and systems are strongly dictating the frames the operative sales people operate in, having an influence on how the employees are experiencing their decision making authority and in the end, customer orientation. When looking at the service delivery process at tactical and strategic levels, customer orientation is affecting mainly in the organizational constructs through setting standards, support and systems. However, tactical and strategic level employees influence the operative level through individual customer orientation components as well. The findings indicate that their emotion and personal interaction skills are affecting the overall service delivery process mainly through supervisor support and motivation of the operative level employees. Based on this study it can be argued that an organization can operate as a facilitator and create certain frames for customer oriented sales behavior through standards, support and systems. However, as the impact of individual customer orientation factors on sales people’s service quality seems decisive, from an organizational perspective it puts pressures on the recruitment.