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The interest in topics such as the environment, health and sustainability has increased dramatically in recent years, due to concerns about global warming and demographic change, giving way to the concept of “green branding”.
This bachelor thesis proposes the application of a green branding strategy in order to position Irish agri-food products in the German grocery retail market, and explores its potential effectiveness and current relevance. Firstly, this work intends to offer an overall understanding of the characteristics and implications of a green branding strategy. Secondly, it analyses the connection with Ireland as a country of origin for agri-food products, by putting forward the different arguments for its suitability for the respective products. Finally, the key learnings regarding the successful implementation of a green branding strategy are discussed, based on a real-life best-practice case.
This research employed previous academic and trade literature to develop a theoretical foundation for understanding the concept of green branding in a marketing context. Various forms of industry, consumer and retail insights were used to identify the extent of demand for green brands in Germany and to analyse strength and weaknesses of the Irish agri-food industry in this regard.
An expert interview with the Marketing Manager for Kerrygold in Germany was conducted to uncover points arising from the best-practice application of a green branding strategy.
The findings indicate that there is significant theoretical and practical evidence to suggest that the application of a green branding would be an effective positioning strategy for Irish agri-food in the German consumer market.
3D Computer Vision for the Industrial Metaverse - On the potentials of Neural Radiance Fields
(2023)
The industrial metaverse refers to the use of virtual reality (VR) and augmented reality (AR) technologies in the context of industry and manufacturing. It is envisioned as a shared, immersive digital space where people can interact with and manipulate virtual representations of physical objects and processes. The industrial metaverse has the potential to transform the way products are designed, manufactured, and maintained,
enabling new levels of collaboration, automation, and innovation.
It further includes virtual representations of humans, also known as avatars. These avatars can be used to enable remote collaboration and communication between people in the virtual space. In this way, the industrial metaverse can facilitate virtual meetings, trainings, and other interactive experiences that involve human participants.
Neural Radiance Fields (NeRFs) are a powerful tool for synthesizing photorealistic images of 3D objects, including virtual representations of humans known as avatars. In this talk, we will discuss the potential applications of NeRFs in generating high-fidelity objects and avatars for use in the industrial metaverse.
Sales promotion are commonly used tool by marketers to manipulate consumer toward a certain offer or product. Attractiveness of a promotion can increase the demand of the promoted product. Monetary and non-monetary are considers the two main types of sales promotions. Monetary sales promotion, also known as price promotion, will provide immediate price discount upon purchase, for example 50% discount. Non-monetary sales promotions or premium promotion, on the other hand, usually grant consumer an extra free product or additional service for free. Previous studies also demonstrated that different sales promotion affect consumer behavior differently. Consumers’ value perception can be influenced by several factors. For instance, marketers use specific “phrase” such as “value pack” to influence consumer price perception. Rationally, consumers’ value perception should remain unchanged regardless of the phrases use to describe the promotion with same discount value. In this study, we examine the impact two sales promotion those are “50% discount” and “buy one get one free” on value perception of Thais consumers. These two deals have equal economic value but perceived differently by consumer. We aim to answer the question “does two different deals with the same value impact value perception of the same product differently?” In order to obtain logical answer, two set of questionnaires were send out to observe the maximum price which consumer willing to pay for “instant noodles” and “soy protein powder”. Unfortunately, the result from our survey were not significant enough for us to derive a concrete conclusion. We also discuss about potential cause of the unexpected result and interpret our result for better understanding. Even without a significant finding, this paper address that different sales promotions impact consumer in various ways supported by other literatures and also self-assumption.
The impact of store atmosphere elements on the purchase behaviour and emotions of customers has an important significance in modern marketing. How to design and conceptualize a store atmosphere in such a way that it provides an unforgettable experience for the customer and entices him or her to arouse an interest in the store environment is one of the most fundamental concerns merchants and marketers must ask and think through these days – likewise, the role of culture in connection with store atmosphere is necessary to understand. The goal of this paper is to answer the question on how behavioural and emotional responses to store atmospheric elements such as visual, aural, olfactory, tactile, social, exterior design, interior design and layout & design differ across individualist and collectivist cultures. A cross-cultural analysis between Germans and non-Germans is made in respect to the posed question. A quantitative online survey was conducted, in which a total of 99 valid participants took part, of which 57 were Germans and 42 were non-Germans. This research extended the study of Barros et al. (2019) and added two more separate store atmospheric elements which are the general exterior design and the general interior design. The data was then analyzed, and the findings were ultimately presented. The findings showed that overall store atmosphere elements have similar emotional and behavioural effects on individualist and collectivist cultures with the exception of the general exterior design element, where a significant difference was found. This paper gives a comprehensive overview on the importance of store atmospheric elements in retail and the comparison between Germany which acts as a country that scored relatively high on the Individualism dimension of Hofstede’s national culture model and the countries Turkey, Russia, Portugal, Albania, Bosnia, Romania, Kazakhstan, Vietnam, Sri Lanka and Iraq which serve as a union of cultures that performed high on the Collectivism dimension. Additional research on the topic needs to be done on how culture affects shopper’s emotional and behavioural responses.
Digitalization is one of the global megatrends of the 21st century. With the increase of mobile technology, constant connectivity, and data analytics, organizations are forced to become more digital to keep up with the increasingly digital world.
This research addresses the changing role of leadership due to digitalization. It examines factors which need to be considered when driving digital transformation in organizations as well as leadership competencies necessary in the digital age. Finally, the research addresses the resistance to digital transformation in organizations.
To investigate how leadership is affected by digitalization, qualitative research is carried out. The research is based on published secondary data.
The findings of this research suggest the growing importance of leadership in the digital age. Leadership needs to approach digitalization actively, thus driving digital transformation in organizations to stay competitive in the increasingly digital world. Further, the research suggests six leadership competencies which are essential in times of digital transformation and identifies two leadership roles which have arisen in recent years due to digitalization. Finally, the research proposes ways to overcome resistance to digital transformation.
A Descriptive Study on Customer Attitudes towards Green Branding in the Fashion Industry in Germany
(2021)
This paper attempts to provide an up-to-date representation and analysis of customers' attitudes towards green branding in the fashion industry and their willingness to pay (WTP) for sustainable and ethical clothing in Germany. Related literature strands are reviewed to understand how the fashion industry works, what green branding means, and how customer attitudes are shaped. After creating an attitude measurement model, an online questionnaire was designed and sent to Furtwangen University students, with 153 valid responses returned. The descriptive analysis sheds light on the three attitudinal components related to sustainability and ethics in the fashion industry. It is noted that customers do not hold a definite attitude. However, a tendency towards the positive end is ascertained. Significant gaps still exist in terms of knowledge and awareness of some commitment by fashion brands. Another huge factor influencing attitudes appears to be a lack of trust. The behavioral component showed that customers are trying to contribute through proper disposal and are willing to buy sustainable and ethical clothing more often. However, there is still some room for improvement in terms of customer education. Nevertheless, it is found that they are willing to accept an additional contribution for sustainable and ethical clothing. In general, it can be concluded that there is a foundation to improve the fashion industry towards more sustainability. However, all stakeholders, i.e., customers and fashion brands, as well as the government, need to work together to change the industry in the long run.
Despite the unabated growth of algorithmic decision-making in organizations, there is a growing consensus that numerous situations will continue to require humans in the loop. However, the blending of a formal machine and bounded human rationality also amplifies the risk of what is known as local rationality. Therefore, it is crucial, especially in a data-abundant environment that characterizes algorithmic decision-making, to devise means to assess performance holistically. In this paper, we propose a simulation-based model to address the current lack of research on quantifying algorithmic interventions in a broader organizational context. Our approach allows the combining of causal modeling and data science algorithms to represent decision settings involving a mix of machine and human rationality to measure performance. As a testbed, we consider the case of a fictitious company trying to improve its forecasting process with the help of a machine learning approach. The example demonstrates that a myopic assessment obscures problems that only a broader framing reveals. It highlights the value of a systems view since the effects of the interplay between human and algorithmic decisions can be largely unintuitive. Such a simulation-based approach can be an effective tool in efforts to delineate roles for humans and algorithms in hybrid contexts.
The YOLO series of object detection algorithms, including YOLOv4 and YOLOv5, have shown superior performance in various medical diagnostic tasks, surpassing human ability in some cases. However, their black-box nature has limited their adoption in medical applications that require trust and explainability of model decisions. To address this issue, visual explanations for AI models, known as visual XAI, have been proposed in the form of heatmaps that highlight regions in the input that contributed most to a particular decision. Gradient-based approaches, such as Grad-CAM, and non-gradient-based approaches, such as Eigen-CAM, are applicable to YOLO models and do not require new layer implementation. This paper evaluates the performance of Grad-CAM and Eigen-CAM on the VinDrCXR Chest X-ray Abnormalities Detection dataset and discusses the limitations of these methods for explaining model decisions to data scientists.
Quality assurance (QA) plays a crucial role in manufacturing to ensure that products meet their specifications. However, manual QA processes are costly and time-consuming, thereby making artificial intelligence (AI) an attractive solution for automation and expert support. In particular, convolutional neural networks (CNNs) have gained a lot of interest in visual inspection. Next to AI methods, the explainable artificial intelligence (XAI) systems, which achieve transparency and interpretability by providing insights into the decision-making process of the AI, are interesting methods for achieveing quality inspections in manufacturing processes. In this study, we conducted a systematic literature review (SLR) to explore AI and XAI approaches for visual QA (VQA) in manufacturing. Our objective was to assess the current state of the art and identify research gaps in this context. Our findings revealed that AI-based systems predominantly focused on visual quality control (VQC) for defect detection. Research addressing VQA practices, like process optimization, predictive maintenance, or root cause analysis, are more rare. Least often cited are papers that utilize XAI methods. In conclusion, this survey emphasizes the importance and potential of AI and XAI in VQA across various industries. By integrating XAI, organizations can enhance model transparency, interpretability, and trust in AI systems. Overall, leveraging AI and XAI improves VQA practices and decision-making in industries.
The real-world possibilities for blockchain applications are endless, yet few real-world use cases exist in early 2018 beyond cryptocurrency. Among the many newly initiated and emerging proposals for applications of this unique technology, the area of vehicle emissions provides an opportunity to bring the advantages of cryptography and decentralized databases to the collection and storage of scientific research data. The reporting of vehicle emissions has been a publicly acknowledged area of deceit and scandal, while the cornerstones of blockchain are transparency and consensus. There is, perhaps, a way for this newly expanding technology to provide a disruption to the automotive industry by efficiently and reliably reporting vehicle emissions.
This paper seeks to analyze: the capabilities of an emerging technology when applied to an existing older technology and its utilized environment as well as propose a system for efficiently and reliably collecting and reporting internal combustion engine based vehicle emissions data using blockchain; also, finally, theorize the impact of such a system on the automotive industry.
By combining multiple technologies which already exist in practice, as well as some which are expected to be massively implemented in the near future, it is theoretically possible to establish a blockchain based system for not only recording emissions from every participating vehicle, but also electronically executing a check against local emissions restrictions via smart contracts defined by geo-locational range and GPS referencing. The data can be processed and stored in a way that protects the identity and location history of the driver by assigning responsibility of compliance to the identity of the vehicle. The network can be protected from malicious actors by way of an emissions application specific protocol which involves unique GPS data.
While the short run effects of such a system may be met with pushback from the automotive industry because of increased regulation and impact on sales of internal combustion engine vehicle inventory, the long run effects parallel and may even supplement the future effects of the global trends which make the system possible.
When scaling, startups face managerial challenges and a downfall in innovation. A growing team and the resulting increased communication and organizational complexity bring issues previously not existing. Accountability Systems can assist startups overcome the mentioned issues and maintain their essence of innovation, vital for their success.
This paper discusses the relevance and benefits of implementing formal managerial systems in a growing startup. By mapping out the interdependence of culture, innovation and growth, it is demonstrated how Accountability Systems can support the preservation of an innovative culture when scaling a startup.
In a time when innovation is often disregarded due to a focus on process efficiency, Accountability Systems can provide a valuable tool for managing transition. This thesis serves as a general evaluation of Accountability Systems and their benefits. It is important to note that this paper is not intended to serve as a directly adaptable guide for startups.
Acid Sphingomyelinase Promotes Endothelial Stress Response in Systemic Inflammation and Sepsis
(2016)
Adding evidence of the effects of treatments into relevant Wikipedia pages: a randomised trial
(2020)
Additives and polymer composition influence the interaction of microplastics with xenobiotics
(2021)
Age-related changes in trunk muscle activity and spinal and lower limb kinematics during gait
(2018)
An analysis of the inter-rater reliability of ESG ratings within the consumer staples industry
(2020)
The aim of this study is to gain further insights into whether ESG ratings of the same firms from different rating agencies differ. To this end, this study examines and compares in particular the ratings of the providers Bloomberg, Sustainalytics and MSCI for companies in the consumer staples industry. The study comes to the conclusion that there are in some cases significant differences between these three providers in terms of the respective ESG ratings. Furthermore, a company-size bias is shown for Bloomberg and Sustainalytics ESG ratings. It appears that these agencies rate companies with a large market capitalization better than firms with a lower market value. These large discrepancies in ESG ratings of companies within the consumer staples industry and individual rating problems, such as the company-size bias, mean that today's ESG ratings tend to be not reliable and not valid. The study shows that ESG ratings will have to change a lot in the near future in order to contribute positively to the investment selection of socially responsible investors.
The aim of this study consists oftwo main objectives: First,to investigatethe penetration and preferences of fintech solutions from the payments sector within the studied population, as well as the elaboration of a forecast for the upcoming years.Second, to examinethe main elements that influence the intention of young customers when deciding to adopt fintech-basedpayment solutions. Existing research has tested several factorsfrom which the variables of trust, transaction efficiency and ease of use are included onthis paper. Additionally,the value-added propositionfrom this studyis represented by the incorporation of sustainability-related purposes into thisanalysiswith the intention of reflecting the increasing presence of efforts to integrate this component within thefinancial industryin recent years.A research model is proposed and tested by including elements based on theTechnology Adoption Model (TAM). By exploring the results of primary data through asurvey with 463 responses from university studentsandexamining secondary sourcesof information, the findings of this study demonstratethat all four tested variables have a positive impact on the intention of using fintech-based payment solutions.Sustainability-related purposes do not play a major role in the decision of using these apps, however, even with a minimal influence, theeffect on intention is positiveand statistically significant. The findings of this study pose important implications for stakeholders within the fintech spectrum whose purposes are related to increasing the intention of young consumers towards using these productsandto provide enoughevidence of the importance of designing incentives that fuel sustainability stewardshipwithin the financial sector.
Sustainability, encompassing the economy, the environment, and society in equal parts, is an increasingly prominent topic that is gaining in importance and awareness due to the climate crisis and the resulting urgent need for action. It is essential to simultaneously focus on the global and on the local scale in order to create a paradigm shift. This study addresses the attitude-behavior gap of employees in the daily operations within companies and evaluates how nudges can be implemented to narrow this gap. A literature review was conducted to understand the separate topics of sustainability, the attitude-behavior gap, and nudging. Based on these three topics and their interrelation, exemplary nudges on habits and on infrastructure to be applied in a company and modified to its needs are developed. The method of implementation of nudges cannot be generalized because (1) attitudes and behavior and their interrelation are individual and influenceable factors and (2) the corporate context and how nudges are communicated impact the effectiveness of the interventions. Investing in internal sustainability practices in combination with indispensable external practices leads companies to a holistic, authentic, and successful approach towards becoming a sustainable business.
Keywords: Attitude-Behavior Gap, Nudging, Corporate sustainability
An average investor trying to allocate his wealth among multiple assets ideally has nearly infinite possibilities to do so. However, asset allocation strategies try to facilitate this process. Nevertheless, no consensus exists on which strategy is ideal and yields the best performance. Therefore, this paper aims to determine an ideal asset allocation strategy for an average investor by comparing two asset allocation strategies.
The focus is on comparing the practical application of Markowitz’s Modern Portfolio Theory (MPT), a sophisticated asset allocation strategy, with an equally weighted asset allocation, namely the 1/N strategy. The past performance of these two strategies is compared with the help of a calculation example based on historical data. The quantitative analysis covers three time periods of different lengths between 1991 and 2022. Also, the strategies are applied to portfolios with different amounts of assets during these periods. Although the existing literature is very controversial concerning the performance of the two strategies, this research shows a clear result. Compared to the 1/N strategy, this study’s findings show an outperformance of the MPT strategy during every period and each portfolio combination. However, the difference in performance regarding return and risk is minimal in most scenarios and would not significantly affect an average investor who invests over a long-term horizon.
This thesis talks about the relation between investor sentiment, stock return and trading volume in the German stock market. Six Granger causality tests were performed in order to determine, whether one of the above mentioned factors is indicative of the others. The results imply that investor sentiment is indicative of both, stock return and trading volume in the specified time period. However, there is no further significant evidence for other relations among the variables. The results are mostly in line with the literature available on this topic and back up the importance of the concept of investor sentiment as investor sentiment delivers an attempt to explain why investors behave irrationally on the stock market. Hence, the factors influencing investor sentiment should be subject to further research in order to gain a broader understanding of the topic.
The present research sought to deepen the debates about how the collector of recyclable material, a subject that has built his political resistance in the Brazilian scenario from the process of re-signification of garbage and his profession. Its empowerment observed from the end of the 20th century was concomitant with the growth of environmental discussions and the strengthening of the solidarity economy as an alternative for economic emancipation in Brazil. In this context, the individual who used to live on the margins of society established himself as a fundamental factor in the recycling chain and became an environmental agent. The question that guided the investigation was "how has the pandemic influenced waste pickers' solidarity organizations, given their challenges and opportunities?". In this context, two specific objectives were determined to be answered in the course of the research. The first sought to understand the relationship between the solidarity economy and the formation of waste picker collectives; the second aimed to identify the challenges and opportunities that could arise from these solidarity organizations' experiences. A vast theoretical analysis was conducted to understand the
foundations of the Solidarity Economy, an alternative to the informal economy and a form of economic empowerment especially considered for vulnerable populations, as a
way to include them economically. Using the case study of Belo Horizonte, a city with a history of alternative economic expressions and strengthened waste pickers' movements, we approached various actors of the recycling chain through qualitative research, using
the in-depth interviews approach.
Among other findings, the research noted that one of the greatest challenges of the post-pandemic Solidarity Economy is related to the expansion of the capitalist market to areas traditionally aggregated by the Solidarity Economy, because they were previously considered to be on the “margins of society”. However, these threats also
give room for opportunities, from responses that reinforce the legitimacy of cooperatives and associations, through their contractual adequacy with the City Hall for
the payment of the environmental service rendered, disconnected from the number of solid waste collected. We have learned that in the daily struggles and achievements of
the waste pickers, challenges and opportunities go hand in hand.
Analysing attention convolutional neural network for surgical tool localisation: a feasibility study
(2022)
This paper analyses five different Cryptocurrencies, namely Bitcoin, Ethereum, XRP, Dogecoin and Litecoin, and studies their impact on traditional financial portfolios under different allocation strategies. The allocation strategies under consideration in this paper are the modern portfolio theory according to Markowitz, an extension of it such as the tangency portfolio, and the equally weighted portfolio. Further, this study explores the effect on the efficient frontier when Cryptocurrencies are added to the efficient portfolios. In addition to that, the paper aims to examine whether the mean – variance portfolio optimization according to Markowitz outperforms the naïve and tangency portfolio strategy. The portfolio performance is evaluated based on the Sharpe ratio. The quantitative analysis of this paper covers the time period from 2017 to 2022, in total five years. In accordance with the existing literature on portfolio optimization with Cryptocurrencies, the study reveals that besides some issues related with Cryptocurrencies such as cybercrime and a lack of regulations, Cryptocurrencies can be beneficial for portfolio diversification with traditional financial assets. Referring to the portfolio strategies, the study highlights that the optimal mean – variance portfolio and tangency portfolio do not differ significantly in terms of Sharpe ratio. However, both strategies outperform equally weighted portfolios.
The following study examines the influence selected variables have on the price of the cryptocurrency Bitcoin by utilizing a multiple linear regression model. Data of 267 observations for each variable during a five-year period from 13 August 2016 to 1 October 2021 are analyzed. The results present empirical evidence on the relationship of Bitcoin and external determinants such as traditional financial assets, in particular the stock market, the bond market, domestic currencies, the real estate market, gold, and the popularity of Bitcoin, represented by a Google Trends analysis. The findings imply that only the stock market and the real estate market proxies significantly influence the price of the cryptocurrency Bitcoin.
New developments in decentralized ledger technologies may have a huge impact on how we perceive and use money now and in the future. Most notably, it has led to the development of cryptocurrencies and a variation thereof –stablecoins. This thesis discusses the potential impact of Proof of Work based cryptocurrencies such as Bitcoin on the money market and the central bank’s ability to maintain control over the money supply. The IS-LM model is used to evaluate the effects of a private-issued digital currency. However, due to the characteristics of POW based cryptocurrencies, their impact on the money market is neglectable. In contrast, private-issued stablecoins of large international businesses with the potential of gaining enough users to overcome hindering network effects may pose a serious threat to the financial system, if there is no regulation on their usage.
As a response to this development and combined with the phenomenon of a declining cash usage in many countries, central banks have started to conduct research in their own digital currency, namely central bank digital currency (CBDC). Countries such as Sweden or The Bahamas have already started with the implementation of trial phases of their respective CBDC. However, design choices of the country’s digital currency differ due to financial, geographical, and cultural circumstances, among others. Nevertheless, many countries have utilized decentralized ledger technologies as the underlying technology for CBDC, showing its promising potential for further research and future developments.
The relation between Frugal Innovation and Sustainability is a widely discussed topic in current academic literature. To assess the correlation between these two concepts, a sample of the most frequently mentioned Frugal Innovations was selected. The criteria to evaluate the sustainability potential for each of these cases was built upon the UN Sustainable Development Goals, a global reference indicator. Frugal Innovations among the banking, transport, energy, ICT, water, appliances and healthcare sectors were evaluated. The results suggested a positive contribution and impact of Frugal Innovations towards economic, social and environmental development.
Assessing the impact of a structural prior mask on EIT images with different thorax excursion models
(2023)
Assessment of Neck Muscle Shear Modulus Normalization in Women with and without Chronic Neck Pain
(2022)
While the number of devices connected together as the Internet of Things (IoT) is growing, the demand for an efficient and secure model of resource discovery in IoT is increasing. An efficient resource discovery model distributes the registration and discovery workload among many nodes and allow the resources to be discovered based on their attributes. In most cases this discovery ability should be restricted to a number of clients based on their attributes, otherwise, any client in the system can discover any registered resource. In a binary discovery policy, any client with the shared secret key can discover and decrypt the address data of a registered resource regardless of the attributes of the client. In this paper we propose Attred, a decentralized resource discovery model using the Region-based Distributed Hash Table (RDHT) that allows secure and location-aware discovery of the resources in IoT network. Using Attribute Based Encryption (ABE) and based on predefined discovery policies by the resources, Attred allows clients only by their inherent attributes, to discover the resources in the network. Attred distributes the workload of key generations and resource registration and reduces the risk of central authority management. In addition, some of the heavy computations in our proposed model can be securely distributed using secret sharing that allows a more efficient resource registration, without affecting the required security properties. The performance analysis results showed that the distributed computation can significantly reduce the computation cost while maintaining the functionality. The performance and security analysis results also showed that our model can efficiently provide the required security properties of discovery correctness, soundness, resource privacy and client privacy.
Prostate segmentation is an essential part of brachytherapy treatment planning, in order to perform the procedure with required accuracy. Nowadays, segmentation of the prostate is still carried out manually during the planning steps, therefore it is a process that can be tedious, time-consuming and prone to inter-observer error. Much effort has been made in development of an computer-based algorithm that can perform prostate segmentation automatically, but only with appearance of deep learning methods, more promising algorithms emerged. So far, convolutional neural networks demonstrated excellent results in fully automatic prostate segmentation. Development of such an algorithm and training an efficient deep learning model is a challenging task, and requires a lot of optimizations. The objective of this study is development and evaluation of an algorithm for image processing based on deep learning methods that can perform fully automatic segmentation of the prostate gland in transrectal ultrasound images. Additionally, we made an overview of the development process, along with challenges and their solutions and demonstrated an algorithm implemented using Python and Tensorflow library, consisted of preprocessing, augmentation, training and validation, postprocessing and validation steps, which is able to successfully carry out fully automatic prostate segmentation with expert level of accuracy. Finally, we presented our implementation of fully convolutional neural network model and results that are encouraging to continue with model improvements and potential clinical application.
After the Second World War and especially in the early 70s a new phenomenon arose – today widely known as globalization. It eliminated barriers and thus increased international competition. Companies such as Siemens, General Electrics and Procter & Gamble were forced to act globally in order to stay competitive and therefore they had to redefine their businesses in a strategic and internationally oriented manner. As one of a company’s most essential departments, human resources was tremendously forced to adapt to the changed business environment. Language skills, cultural awareness and global mobility were only a few new requirements in human resources.
Early in the beginning of globalization, large companies recognized the opportunity to outsource specific departments with the goal of cost-saving and resource bundling. Manufacturing was and still is a predestined department to make use of outsourcing, whereas the situation for other departments including IT, procurement and human resources is more complex. The main fear is losing control to the outsourcing partner. Main departments with a strategic importance for the overall success are therefore only conditionally suitable for outsourcing. Companies need to ask themselves, how much control over their human capital they are willing to sacrifice for saving costs and staying competitive. With the purpose to evade this conflict of objectives, companies seek for a hybrid model, which allowed them maintaining control and cutting costs at the same time.
In the early 70s, first companies found the solution in the Shared Service Center model, which then rapidly spread throughout a number of countries and industries. Human Resources Shared Service Centers can be defined as a hybrid model, combining advantages and avoiding disadvantages of outsourcing and decentralization of Human Resources. The Shared Service Center model is expected to lower costs, improve efficiency and service quality, and enable organizations to better focus on core functions. Although the strategy seems only having advantages, there are many aspects to consider in the pre-implementation phase. Moving to the Shared Service Center model represents an immense strategic project, including high risk, costs and impact on the overall success. For this reason, the project needs to be well planned, designed, implemented, monitored
and evaluated from the right people, at the right time and at the right place. Any small mistakes made during the project might have an unpredictable and irreversible impact and prevent the company from benefiting of the Shared Service Center model or might even force the organization to stop the project completely. Before deciding to implement Shared Service Centers, companies need to accept that there is neither guarantee for success nor a universally valid success strategy. Best and worst practices will be discovered during the transition at the earliest and a success evaluation can only happen in the post-transition phase. Although the Shared Service Center model is not a recent trend as it found first-time application many decades ago, the topic remains relevant as many companies still hesitate implementing this risky strategy. Some organizations succeeded, others failed and returned to their old approach while some are currently in the transition phase.
Before deciding to move to the Shared Service Center model, one of the top pharma company’s was facing the same issues as other companies on such a scale. The management increasingly felt the pressure to offer the same or an even better service quality at a lower price. Changing the strategy and implementing Shared Service Centers across the globe was seen as the most promising solution. The large pharma company with employees of many nationalities worldwide offers a huge variety of cultures, which can be seen as a chance, but also as an obstacle on the way to a successful Shared Service Center implementation. Primarily, the company has to consider that the project might not work in the same pace, quality and method for all countries. Finding best practices for all countries is a desirable goal, yet not easy to achieve.