Achieving competitive e-commerce in Finnish B2C retail business

E-commerce is one of the most fast growing business areas today and an extremely important channel in retail. In order for companies to succeed in this business environment, it is highly important to understand consumers and how they perceive and select webstores. The objective of the study is to investigate how to achieve competitive e-commerce by investigating consumers and the factors based on which they select a webstore. In addition, the study also seeks to explore whether sex or consumers’ buying experience have an effect on consumer’s webstore selection. Managerial implications are viewed from case company’s perspective. In order to answer the research questions a quantitative marketing survey was conducted. The data was collected by online questionnaire using the case company’s customers as respondents. A total of 1613 responses were obtained from Finnish consumers. Responses were analyzed using ANOVA, factor analysis and t-test. The results show that the most important factors in consumer’s webstore selection are usability, reliability and vendor related information. The biggest difference between heavy and light shoppers is trust formation. Light shoppers value physical stores and familiar vendors, whereas heavy shoppers judge vendor based on the information and usability. Women perceive higher risk than men. The winning strategy requires a hybrid of cost leadership and differentiation.

Analysis of the Change Management Process in a Multinational Company

The purpose of this thesis was to study change management and find out how the theory applies to practise with the help of studying an organizational change process. The goal was to investigate the different ways of the change management and how those could be utilized in practise. The purpose was also to see what kind of tools and information packages for change management the company involved has developed and taken in to use and check if these could have been utilized in the change process studied in this thesis. This thesis was established by studying the theory of change management and interviewing the people involved in the organizational change and the stakeholders. The questions were formed in line with the change management theory. The main theory used was John P. Kotter’s Eight Steps of Change. The study revealed valuable details about change processes in real life and concrete improvement ideas were recognized from the interviews. Overall the people were quite happy with the outcome of the change process. There were also some failures identified in this change process. Most probably those can be avoided in the future if people planning the change are familiar with the company’s new information packages and tools for change management. Change management is a complex area that is still today quite often forgotten by companies. Effective change management can give a huge competitive advantage for a company. Acknowledging that change process is always complex and not easy is already a good step forward in handling change processes. All changes need change management and understanding the way people react on change. A good and efficient change management is the key to make the change process smooth and easier for the people involved.

Production Quality Analysis of Special Elevator Cars Based on Six Sigma Approach

Project scope is to utilize Six Sigma DMAIC approach and lean principles to improve production quality of the case company. Six Sigma tools and techniques are explored through a literature review and later used in the quality control phase. The focus is set on the Pareto analysis to demonstrate the most evident development areas in the production. Materials that are not delivered to the customer or materials that damaged during transportation comprise the biggest share of all feedbacks. The goal is set to reduce these feedbacks by 50 %. Production observation pointed out that not only material shortages but also over-production is a daily situation. As a result, an initial picking list where the purchased and own production components can be seen, is created, reduction of over- and underproduction and material marking improvement are seen the most competitive options so that the goal can be reached. The picking list development should still continue to make sure that the list can be used not only in the case study but also in the industrial scale. The reduction of material missing category can be evaluated reliably not sooner than in few years because it takes time to gather the needed statistical information.

Catching up with competitiveness in emerging markets – An analysis of the role of the firm’s technology management strategies

Emerging markets have experienced rapid economic growth, and manufacturing firms have had to face the effects of globalisation. Some of the major emerging economies have been able to create a supportive business environment that fosters innovation, and China is a good example of a country that has been able to increase value-added investments. Conversely, when we look at Russia, another big emerging market, we witness a situation in which domestic firms struggle more with global competitiveness. Innovation has proven to be one of the most essential ingredients for firms aiming to grow and become more competitive. In emerging markets, the business environment sets many constraints for innovation. However, open strategic choices in new product development enable companies in emerging markets to expand their resource base and capability building. Networking and close inter-firm cooperation are essential in this regard. In this dissertation, I argue that technology transfer is one of the key tools for these companies to become internationally networked and to improve their competitiveness. It forces companies to reach outside the company and national borders, which in many cases, is a major challenge for firms in emerging markets. This dissertation focuses on how companies can catch up with competitiveness in emerging markets. The empirical studies included in the dissertation are based on analyses of survey data mainly of firms and their strategies in the Russian manufacturing industry. The dissertation contributes to the current strategic management literature by further investigating technology management strategies in manufacturing firms in emerging markets and the benefits of more open approaches to new product development and innovation.

Deception in Sport: A Conceptual and Ethical Analysis

In 1973, Kathleen Pearson offered a pivotal first step into understanding deception in competitive sport and its many intricacies. However, the analysis falls short of truly deciphering this widespread phenomenon. By creating a taxonomy based on Torres (2000) understanding of various types of skills in an athletic contest, a wider array of deceptive practices are encompassed. Once the taxonomy is put forth, weighing the categories against the three-pronged ethical permissibility test established utilizing elements from formalism, conventionalism and broad internalism sheds lights on what deceptive practices should be deemed ethically permissible for use and which tactics should not be a part of an athlete’s repertoire. By understanding which categories of deception are permissible, the most fair and athletically excellent contest can be created between the opposing players of teams.

Retrospective on the Experience of Parental Pressure and Support by Male Participants that Withdrew from Competitive Youth Hockey: A Phenomenological Investigation

The purpose of this study was to gain an in-depth understanding of the lived experiences of parental pressure and support for males who withdrew from competitive youth hockey. A phenomenological approach was used to explore this phenomenon and develop meaning from the participants' experiences. Data for this study was collected by conducting one in-depth interview with each of the seven participants. Fourteen themes emerged as a result of the data analysis. These themes were grouped into three clusters: (1) Description of parental involvement: “I want them to be there and help me”; (2) Perceived impacts of parental involvement: “I felt like he actually cared”; and (3) Impact of parental involvement on commitment: “I kind of miss hockey now”. The descriptions provided by the participants in this study, and the themes that emerged, offer insight into what it is like for young males to experience parental involvement in competitive youth hockey.

Artificial neural network modeling for surface roughness prediction in cylindrical grinding of Al‐SiCp metal matrix composites and ANOVA analysis

Metal matrix composites (MMC) having aluminium (Al) in the matrix phase and silicon carbide particles (SiCp) in reinforcement phase, ie Al‐SiCp type MMC, have gained popularity in the re‐cent past. In this competitive age, manufacturing industries strive to produce superior quality products at reasonable price. This is possible by achieving higher productivity while performing machining at optimum combinations of process variables. The low weight and high strength MMC are found suitable for variety of components

Analysis of Michael Porter’s generic strategies and its usage in a globalized business environment

Michael Porter reconocido como una autoridad en estrategia nos ha motivado a entrar a analizar profundamente sus propuestas e ideas en el campo de su dominio, con el objetivo de analizarlas y validarlas en el actual ambiente de negocios, caracterizado por ser turbulento y dinámico. El método elegido fue contratar éste ambiente con el ambiente bajo el cual se crearon las propuestas estratégicas de Michael Porter. Para esto, nos enfocamos en su propuesta para la estrategia de negocio, específicamente, las Tres Estrategias Genéricas. Tomando el caso de estudio de ZARA y su trayectoria empresarial como una investigación empírica para obtener resultados y discutirlos bajo parámetros que surgen desde las críticas desarrolladas por otros autores. Tomando como fuente de información libros, ensayos, publicaciones en Internet, noticias, entrevistas a clientes y a sus empleados.

The growth effects of EU cohesion policy: a meta-analysis. Bruegel Working Paper 2012/14, October 2012

We run a standard income convergence analysis for the last decade and confirm an already established finding in the growth economics literature. EU countries are converging. Regions in Europe are also converging. But, within countries, regional disparities are on the rise. At the same time, there is probably no reason for EU Cohesion Policy to be concerned with what happens inside countries. Ultimately, our data shows that national governments redistribute well across regions, whether they are fiscally centralised or decentralised. It is difficult to establish if Structural and Cohesion Funds play any role in recent growth convergence patterns in Europe. Generally, macroeconomic simulations produce better results than empirical tests. It is thus possible that Structural Funds do not fully realise their potential either because they are not efficiently allocated or are badly managed or are used for the wrong investments, or a combination of all three. The approach to assess the effectiveness of EU funds should be consistent with the rationale behind the post-1988 EU Cohesion Policy. Standard income convergence analysis is certainly not sufficient and should be accompanied by an assessment of the changes in the efficiency of the capital stock in the recipient countries or regions as well as by a more qualitative assessment. EU funds for competitiveness and employment should be allocated by looking at each region’s capital efficiency to maximise growth generating effects or on a pure competitive.

Case-based analysis in user requirements modelling for knowledge construction

Context: Learning can be regarded as knowledge construction in which prior knowledge and experience serve as basis for the learners to expand their knowledge base. Such a process of knowledge construction has to take place continuously in order to enhance the learners’ competence in a competitive working environment. As the information consumers, the individual users demand personalised information provision which meets their own specific purposes, goals, and expectations. Objectives: The current methods in requirements engineering are capable of modelling the common user’s behaviour in the domain of knowledge construction. The users’ requirements can be represented as a case in the defined structure which can be reasoned to enable the requirements analysis. Such analysis needs to be enhanced so that personalised information provision can be tackled and modelled. However, there is a lack of suitable modelling methods to achieve this end. This paper presents a new ontological method for capturing individual user’s requirements and transforming the requirements onto personalised information provision specifications. Hence the right information can be provided to the right user for the right purpose. Method: An experiment was conducted based on the qualitative method. A medium size of group of users participated to validate the method and its techniques, i.e. articulates, maps, configures, and learning content. The results were used as the feedback for the improvement. Result: The research work has produced an ontology model with a set of techniques which support the functions for profiling user’s requirements, reasoning requirements patterns, generating workflow from norms, and formulating information provision specifications. Conclusion: The current requirements engineering approaches provide the methodical capability for developing solutions. Our research outcome, i.e. the ontology model with the techniques, can further enhance the RE approaches for modelling the individual user’s needs and discovering the user’s requirements.

Mathematical modelling of competitive LDL/VLDL binding and uptake by hepatocytes

Elevated levels of low-density-lipoprotein cholesterol (LDL-C) in the plasma are a well-established risk factor for the development of coronary heart disease. Plasma LDL-C levels are in part determined by the rate at which LDL particles are removed from the bloodstream by hepatic uptake. The uptake of LDL by mammalian liver cells occurs mainly via receptor-mediated endocytosis, a process which entails the binding of these particles to specific receptors in specialised areas of the cell surface, the subsequent internalization of the receptor-lipoprotein complex, and ultimately the degradation and release of the ingested lipoproteins' constituent parts. We formulate a mathematical model to study the binding and internalization (endocytosis) of LDL and VLDL particles by hepatocytes in culture. The system of ordinary differential equations, which includes a cholesterol-dependent pit production term representing feedback regulation of surface receptors in response to intracellular cholesterol levels, is analysed using numerical simulations and steady-state analysis. Our numerical results show good agreement with in vitro experimental data describing LDL uptake by cultured hepatocytes following delivery of a single bolus of lipoprotein. Our model is adapted in order to reflect the in vivo situation, in which lipoproteins are continuously delivered to the hepatocyte. In this case, our model suggests that the competition between the LDL and VLDL particles for binding to the pits on the cell surface affects the intracellular cholesterol concentration. In particular, we predict that when there is continuous delivery of low levels of lipoproteins to the cell surface, more VLDL than LDL occupies the pit, since VLDL are better competitors for receptor binding. VLDL have a cholesterol content comparable to LDL particles; however, due to the larger size of VLDL, one pit-bound VLDL particle blocks binding of several LDLs, and there is a resultant drop in the intracellular cholesterol level. When there is continuous delivery of lipoprotein at high levels to the hepatocytes, VLDL particles still out-compete LDL particles for receptor binding, and consequently more VLDL than LDL particles occupy the pit. Although the maximum intracellular cholesterol level is similar for high and low levels of lipoprotein delivery, the maximum is reached more rapidly when the lipoprotein delivery rates are high. The implications of these results for the design of in vitro experiments is discussed.

The tendering process and performance analysis of a public building project in Ghana

A case study on the tendering process and cost/time performance of a public building project in Ghana is conducted. Competitive bids submitted by five contractors for the project, in which contractors were required to prepare their own quantities, were analyzed to compare differences in their pricing levels and risk/requirement perceptions. Queries sent to the consultants at the tender stage were also analyzed to identify the significant areas of concern to contractors in relation to the tender documentation. The five bidding prices were significantly different. The queries submitted for clarifications were significantly different, although a few were similar. Using a before-and-after experiment, the expected cost/time estimate at the start of the project was compared to the actual cost/time values, i.e. what happened in the actual construction phase. The analysis showed that the project exceeded its expected cost by 18% and its planned time by 210%. Variations and inadequate design were the major reasons. Following an exploration of these issues, an alternative tendering mechanism is recommended to clients. A shift away from the conventional approach of awarding work based on price, and serious consideration of alternative procurement routes can help clients in Ghana obtain better value for money on their projects.

Convergence analysis of stochastic diffusion search

In this paper we present a connectionist searching technique - the Stochastic Diffusion Search (SDS), capable of rapidly locating a specified pattern in a noisy search space. In operation SDS finds the position of the pre-specified pattern or if it does not exist - its best instantiation in the search space. This is achieved via parallel exploration of the whole search space by an ensemble of agents searching in a competitive cooperative manner. We prove mathematically the convergence of stochastic diffusion search. SDS converges to a statistical equilibrium when it locates the best instantiation of the object in the search space. Experiments presented in this paper indicate the high robustness of SDS and show good scalability with problem size. The convergence characteristic of SDS makes it a fully adaptive algorithm and suggests applications in dynamically changing environments.

Heterozygosity and diversity analysis using mapped single nucelotide polymorphisms in a faba bean inbreeding programme

The aim of this study was to convert existing faba bean (Vicia faba L.) single nucleotide polymorphism (SNP) markers from cleaved amplification polymorphic sequences and SNaPshot® formats, which are expensive and time-consuming, to the more convenient KBiosciences competitive allele‐specific PCR (KASP) assay format. Out of 80 assays designed, 75 were validated, though a core set of 67 of the most robust markers is recommended for further use. The 67 best KASP SNP assays were used across two generations of single seed descent to detect unintended outcrossing and to track and quantify loss of heterozygosity, a capability that will significantly increase the efficiency and performance of pure line production and maintenance. This same set of assays was also used to examine genetic relationships between the 67 members of the partly inbred panel, and should prove useful for line identification and diversity studies in the future.

Toxin-allelopathy among phytoplankton species prevents competitive exclusion

Toxic or allelopathic compounds liberated by toxin-producing phytoplankton (TPP) acts as a strong mediator in plankton dynamics. On an analysis of a set of phytoplankton biomass data that have been collected by our group in the northwest part of the Bay of Bengal, and by analysis of a three-component mathematical model under a constant as well as a stochastic environment, we explore the role of toxin-allelopathy in determining the dynamic behavior of the competing phytoplankton species. The overall results, based on analytical and numerical wings, demonstrate that toxin-allelopathy due to the TPP promotes a stable co-existence of those competitive phytoplankton that would otherwise exhibit competitive exclusion of the weak species. Our study suggests that TPP might be a potential candidate for maintaining the co-existence and diversity of competing phytoplankton species.