879 resultados para Customer portfolio


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This study has been made for specific paper production line at an international forest industry company in Finland. The main purpose for the study was a need to examine the current situation of the customer knowledge and its’ sharing at case production line, recognize the problems in it and finally, find out the improvement actions. The study is composed of theoretical and empirical parts. In theoretical part, knowledge management and information sharing in addition to customer knowledge management are presented. Empirical data from case production line was collected by using survey questionnaires. The results are analyzed in discussion and conclusions and finally, study ends with summary which includes recommendations. Based on the study, the amount and quality of customer knowledge and gaining and transferring the customer knowledge were found as the main challenges. The proposed solutions were discovered from moving towards more dynamic operating environment and in the area of customer knowledge management, especially from the communities of creation.

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Especially in global enterprises, key data is fragmented in multiple Enterprise Resource Planning (ERP) systems. Thus the data is inconsistent, fragmented and redundant across the various systems. Master Data Management (MDM) is a concept, which creates cross-references between customers, suppliers and business units, and enables corporate hierarchies and structures. The overall goal for MDM is the ability to create an enterprise-wide consistent data model, which enables analyzing and reporting customer and supplier data. The goal of the study was defining the properties and success factors of a master data system. The theoretical background was based on literature and the case consisted of enterprise specific needs and demands. The theoretical part presents the concept, background, and principles of MDM and then the phases of system planning and implementation project. Case consists of background, definition of as is situation, definition of project, evaluation criterions and concludes the key results of the thesis. In the end chapter Conclusions combines common principles with the results of the case. The case part ended up dividing important factors of the system in success factors, technical requirements and business benefits. To clarify the project and find funding for the project, business benefits have to be defined and the realization has to be monitored. The thesis found out six success factors for the MDM system: Well defined business case, data management and monitoring, data models and structures defined and maintained, customer and supplier data governance, delivery and quality, commitment, and continuous communication with business. Technical requirements emerged several times during the thesis and therefore those can’t be ignored in the project. Conclusions chapter goes through these factors on a general level. The success factors and technical requirements are related to the essentials of MDM: Governance, Action and Quality. This chapter could be used as guidance in a master data management project.

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Customer loyalty programs have increased in recent decades and customers are members in several loyalty programs. Loyalty programs are seen as a tool of exploiting customer relationship management with the aim of long-term, profitable customer relationships. Companies have created such a market where customers are rewarded automatically, even if they are disloyal. In addition, companies are struggling as they try to motivate customers to purchase more and make more frequent visits.

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The ability of the supplier firm to generate and utilise customer-specific knowledge has attracted increasing attention in the academic literature during the last decade. It has been argued the customer knowledge should treated as a strategic asset the same as any other intangible assets. Yet, at the same time it has been shown that the management of customer-specific knowledge is challenging in practice, and that many firms are better at acquiring customer knowledge than at making use of it. This study examines customer knowledge processing in the context of key account management in large industrial firms. This focus was chosen because key accounts are demanding and complex. It is not unusual for a single key account relationship to constitute a complex web of relationships between the supplier and the key account – thus easily leading to the dispersion of customer-specific knowledge in the supplier firm. Although the importance of customer-specific knowledge generation has been widely acknowledged in the literature, surprisingly little attention has been paid to the processes through which firms generate, disseminate and use such knowledge internally for enhancing the relationships with their major, strategically important key account customers. This thesis consists of two parts. The first part comprises a theoretical overview and draws together the main findings of the study, whereas the second part consists of five complementary empirical research papers based on survey data gathered from large industrial firms in Finland. The findings suggest that the management of customer knowledge generated about and form key accounts is a three-dimensional process consisting of acquisition, dissemination and utilization. It could be concluded from the results that customer-specific knowledge is a strategic asset because the supplier’s customer knowledge processing activities have a positive effect on supplier’s key account performance. Moreover, in examining the determinants of each phase separately the study identifies a number of intra-organisational factors that facilitate the process in supplier firms. The main contribution of the thesis lies in linking the concept of customer knowledge processing to the previous literature on key account management. Moreover, given than this literature is mainly conceptual or case-based, a further contribution is to examine its consequences and determinants based on quantitative empirical data.

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In this thesis the main objective is to examine and model configuration system and related processes. When and where configuration information is created in product development process and how it is utilized in order-delivery process? These two processes are the essential part of the whole configuration system from the information point of view. Empirical part of the work was done as a constructive research inside a company that follows a mass customization approach. Data models and documentation are created for different development stages of the configuration system. A base data model already existed for new structures and relations between these structures. This model was used as the basis for the later data modeling work. Data models include different data structures, their key objects and attributes, and relations between. Representation of configuration rules for the to-be configuration system was defined as one of the key focus point. Further, it is examined how the customer needs and requirements information can be integrated into the product development process. Requirements hierarchy and classification system is presented. It is shown how individual requirement specifications can be connected for physical design structure via features by developing the existing base data model further.

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This thesis was made for a large forest industry company’s business segment. The purpose of the study was to improve the performance of the order-to-delivery process of the business segment. The study proceeded in three phases. The first phase was to define customer expectations in the market. The second phase was to analyse the performance and the operations of the order-to-delivery process, and to define any challenges or problems in serving the customers. The third and final phase was improving the performance of the order-to-delivery process, within the scope defined by the first two phases. The analysis showed that the delivery reliability is an essential but a challenging issue in the case company’s markets. On delivery reliability standpoint, the most challenging factors were the detected information flow distortions within the company as well as in the whole supply chain, and the lack of horizontal control over the multi-stage process.

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Selling is much maligned, often under-valued subject whose inadequate showing in business schools is in inverse proportion to the many job opportunities it offers and the importance of salespeople bringing incomes to companies. The purpose of this research is to increase the understanding of customer-oriented selling and examine the influence of customer-oriented philosophy on selling process, the applicability of selling techniques to this philosophy and the importance of them to salespeople. The empirical section of the study is two-fold. Firstly, the data of qualitative part was collected by conducting five thematic interviews among sales consultants and case company representatives. The findings of the study indicate that customer-oriented selling requires the activity of salespeople. In the customer-oriented personal selling process, salespeople invest time in the preplanning, the need analysis and the benefit demonstration stages. However, the findings propose that salespeople today must also have the basic capabilities for executing the traditional sales process, and the balance between traditional and consultative selling process will change as the duration of the relationship between the salesperson and customer increases. The study also proposes that selling techniques still belong to the customer-oriented selling process, although their roles might be modest. This thesis mapped 75 selling techniques and the quantitative part of the study explored what selling techniques are considered to be important by salespeople in direct selling industry when they make sales with new and existing customers. Response rate of the survey was 69.5%.

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In recent years, the network vulnerability to natural hazards has been noticed. Moreover, operating on the limits of the network transmission capabilities have resulted in major outages during the past decade. One of the reasons for operating on these limits is that the network has become outdated. Therefore, new technical solutions are studied that could provide more reliable and more energy efficient power distributionand also a better profitability for the network owner. It is the development and price of power electronics that have made the DC distribution an attractive alternative again. In this doctoral thesis, one type of a low-voltage DC distribution system is investigated. Morespecifically, it is studied which current technological solutions, used at the customer-end, could provide better power quality for the customer when compared with the current system. To study the effect of a DC network on the customer-end power quality, a bipolar DC network model is derived. The model can also be used to identify the supply parameters when the V/kW ratio is approximately known. Although the model provides knowledge of the average behavior, it is shown that the instantaneous DC voltage ripple should be limited. The guidelines to choose an appropriate capacitance value for the capacitor located at the input DC terminals of the customer-end are given. Also the structure of the customer-end is considered. A comparison between the most common solutions is made based on their cost, energy efficiency, and reliability. In the comparison, special attention is paid to the passive filtering solutions since the filter is considered a crucial element when the lifetime expenses are determined. It is found out that the filter topology most commonly used today, namely the LC filter, does not provide economical advantage over the hybrid filter structure. Finally, some of the typical control system solutions are introduced and their shortcomings are presented. As a solution to the customer-end voltage regulation problem, an observer-based control scheme is proposed. It is shown how different control system structures affect the performance. The performance meeting the requirements is achieved by using only one output measurement, when operating in a rigid network. Similar performance can be achieved in a weak grid by DC voltage measurement. An additional improvement can be achieved when an adaptive gain scheduling-based control is introduced. As a conclusion, the final power quality is determined by a sum of various factors, and the thesis provides the guidelines for designing the system that improves the power quality experienced by the customer.

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The purpose of this thesis is to examine the level of customer consciousness of the production process employees in a steel factory and to investigate the methods of internal marketing in order to propose development practices to enhance the customer consciousness of the case company employees. The significance of the level of customer consciousness is discussed and practices already implemented affecting the level of customer consciousness in the company are examined. The literature review gives an insight to the role of customer consciousness in the CRM philosophy of a manufacturing company and examines the means of internal marketing in enhancing customer consciousness. In the empirical part of the study, the level and significance of customer consciousness is determined by conducting individual and focus group interviews. The interviews are also used to examine the practices that could function in enhancing the customer consciousness of the employees. Development suggestions to improve the level of customer consciousness in the production process are given based on the results. The level of customer consciousness is at a poor level in the production process and influences above all on work motivation and job satisfaction, but possibly on customer satisfaction as well. The enhancement of customer consciousness in the production process should be done e.g. by ensuring the distribution of right knowledge coherently to all of the employees, gathering large customer reference database to exploit in work and in training, using visual illustration in presenting the customer information, training proactively and letting the employees to participate in the customer oriented development activities. Customer satisfaction focused reward system can be considered.

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Project management has evolved in recent decades. Project portfolio management, together with multi project management, is an emerging area in the project management field in practice, and correspondingly in academic research and forums. In multi project management, projects cannot be handled isolated from each other, as they often have interdependencies that have to be taken into account. If the interdependencies between projects are evaluated during the selection process, the success rate of the project portfolio is increased. Interdependencies can be human resources, technological, and/or market based. Despite of the fact that interdependency as a phenomenon has roots in the 1960s and is related to famous management theories, it has not been much studied, although in practice most companies use it to great extent. There exists some research on interdependency, but prior publications have not emphasized the phenomenon per se, because a practical orientation practitioner techniques prevails in the literature. This research applies the method triangulation, electronic surveys and multiple case study. The research concentrates on small to large companies in Estonia and Finland, mainly in construction, engineering, ICT, and machinery industries. The literature review reveals that interdependencies are deeply involved in R&D and innovation. Survey analysis shows that companies are aware of interdependency issues in general, but they i have lack of detailed knowledge to use it thoroughly. Empirical evidence also indicates that interdependency techniques influence the success rate and other efficiency aspects to different extents. There are a lot of similarities in interdependency related managerial issues in companies of varying sizes and countries in Northern Europe. Differences found in the study are for instance the fact that smaller companies face more difficulties in implementing and evaluating interdependency procedures. Country differences between Estonia and Finland stem from working solutions to manage interdependencies on a daily basis.historical and cultural reasons, such as the special features of a transition country compared to a mature country. An overview of the dominant problems, best practices, and commonly used techniques associated with interdependency is provided in the study. Empirical findings show that many interdependency techniques are not used in practice. A multiple case study was performed in the study to find out how interdependencies are managed in real life on a daily basis. The results show that interdependencies are mostly managed in an informal manner. A description of managing the interdependencies and implementation procedures is given. Interdependency procedures are hard to implement, especially in smaller companies. Companies have difficulties in implementing interdependency procedures and evaluating them. The study contains detailed results on how companies have implemented working solutions to manage interdependencies on a daily basis

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In search for competitive advantage, designing and managing supply chain networks have become a necessary competence for organizations. The target of this thesis is to answer a question, how to design a multiple supply chain network. The purpose is to study, what kind of different supply chain designs exist and, how to choose appropriate supply chain designs for a company. In the thesis, the focus is on the supply chain alignment to customers, more specifically to customer buying behavior. The research method was a case study. A framework for measuring customer buying behavior was developed based on the literature and it was used in the study of customer buying behavior in the case environment. In the case company structured interviews and data records were used as sources of evidence. Persons working in the customer-interface were interviewed face-to-face and through an e-mail questionnaire. When analyzing the data, a Quality function deployment matrix was used as one analysis method. As a result of the thesis, supply chain network of the case company is proposed to be divided into three separate supply chains, which focus on different areas and they could be called lean, agile and continuous replenishment supply chains. In conclusion, in the supply chain alignment to customer buying behavior several aspects have to be studied from different perspectives. According to the results, a multiple supply chain strategy is recommended to be implemented in the case company, since the diversity of the customer needs cannot be managed efficiently through a single supply chain.

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The objective of this master’s thesis was to examine technology-based smart home devices and services. Topic was approached through basic theories, transaction cost theory and resource-based view in order to build basis for this thesis. Conceptual framework was discussed by means of networks, value networks and service systems which provide a useful framework for service development. The needs of the elderly living at home were discussed in order to find out which technology-based services could be used to satisfy the needs. Segmentation and need data collected previously during proactive home visits was exploited and additionally a survey targeted to experts and professionals of social and health care sector was done to verify the needs. Finally, the results of the survey were analyzed using quality function deployment method to figure out the most important and suitable service offerings for the elderly. As a conclusion of analysis, social media and monitoring services are the most useful technology-based services. However, traditional home services will still maintain their necessity too.

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This study aimed to identify the value components of nurse call solutions. The value creation of such systems was analyzed by using a framework that was created based on the existing customer value literature. The empirical part of the study was conducted as a multiple-case study by using qualitative research methods. The data for the analysis was gathered through structured interviews in ten Finnish eldercare centers. The results indicate that a nurse call solution creates value for eldercare centers by increasing the safety of the residents, and by improving the efficiency of the staff while also providing cost savings.