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In the Job Satisfaction- Performance literature largely, job satisfaction is portrayed and
discussed positively as a performance driver for organizations that embark on the journey
of progress. This research asks whether job satisfaction inevitably leads to negative
implementation outcomes and how. This research focuses on factors other than job
satisfaction that can be used to drive better performance of employees and how
satisfaction could also lead to negative outcomes. In an attempt to answer this question,
the research undertakes three key tasks. First, it contextualizes how job satisfaction has
minor affects on performance. Second, it outlines the factors that can increase
performance. Third, it discusses crisply the adverse affects on job satisfaction through
empirical evidence to provide focus and 'evidential grounding' for the research.
Essentially, the research contends that for institutions that are unable to manage and lead
productivity from employees, this research serves a powerful purpose ensuring the multi-dimensional approach to view employee performance and modelled to take account of
the people on whom it may impact as well as the overall value it may deliver.
The aim of this research is to investigate the unique factors that affect the
adoption of green supply chain management (GSCM) practices in Greek
companies, with a specific focus on how they align with the overall business
strategy and performance. To achieve this objective, a "bottom-up" approach
is utilized, which involves conducting case studies to assess the status of
GSCM implementation in Greece. Additionally, the research seeks to identify
the key barriers that must be overcome for successful integration of GSCM in
Greek businesses.
A primary purpose of the study is to advance the field of Green Supply Chain
Management (GSCM) research by providing new and valuable insights on
the implementation of GSCM in a context that has received relatively minor
or even no attention in previous studies. The findings of this study have
practical implications for businesses operating in Greece and beyond, as
they offer recommendations, solutions and strategies for companies seeking
to implement GSCM practices. Eventually, this research aims to contribute to
the overall development and understanding of GSCM, as well as to promote
sustainable business practices in the region.
Keywords: Green supply chain management, Greece, business strategy,
implementation, barriers, case studies, bottom-up approach
This study explores the complex dynamics influencing the establishment of secondary
vocational exchange programs, with an emphasis on identifying the barriers and
facilitators in this process. Adopting a qualitative research approach, the study seeks to
capture the rich, nuanced experiences of stakeholders and provide context-specific
insights. Semi-structured interviews were conducted with professionals, administrators,
and officials associated with German and United States Vocational Education. Employing
a two-tiered participant selection strategy, a range of perspectives were captured. The
data were analyzed using an inductive approach to thematic analysis, aiming to identify
underlying patterns and themes. Preliminary findings indicate that funding, policy and
governance challenges, educational structures, administrative elements, corporate
attitudes, and socio-cultural influences play significant roles in the establishment of these
exchange programs. The research also underscores the importance of participant
preparedness, program structure, stakeholder interest and engagement, diversity and
inclusion, and innovative program approaches as vital facilitators. These insights can
influence the development of policies and practices for future secondary vocational
exchange programs, thus contributing meaningfully to the larger conversation
surrounding vocational exchange programs and international educational partnerships.
Advantest Company ("the company") is the world’s leading manufacturer of automatic test and measurement equipment used in the design and manufacturing of semiconductors. Because of the complexity of technologies and the supply chain of the semiconductor business segment, the company depends on both internal and external suppliers to manage some aspects of the supply chain of its main product, the System on Chip (“SoC”) test system. As a result, it is of ongoing interest to the company to have tools to continually strive for increased quality, reliability, capacity, and speed. Above all, these tools must enhance the relationships with the suppliers, and ensure the profitability and the company's position in the future.
The goal of this thesis is to understand the supply chain procedure at Advantest Company’s current state from the data-driven perspective by using the process mining technique. This technique is an emerging discipline, providing a comprehensive set of tools to provide fact-based insights and support process improvement. This new discipline is built on process model-driven approaches and data mining.
In this thesis, we discuss opportunities for process mining with an approach to analyse the process and how it can help the company enhance the procedure. This approach, which consists of data extraction from both third-party and internal software solutions, provides better visibility and faster disruptive event notification of the supply chain at the company.
In the contemporary business landscape characterized by global economic uncertainty and rapid technological advancements, companies face increasing complexity in meeting their innovation targets. To address this challenge, established firms are engaging in collaborative partnerships with external entities, particularly startups, to leverage their knowledge and capabilities to gain a competitive advantage. Despite the growing popularity of corporate-startup collaboration (CSC), there remains a noticeable gap in the literature regarding the analysis of the dynamics and key success factors that are relevant to enhancing the collaborative process between these asymmetric entities. This study aims to fill this research space by investigating the dynamics, motives, objectives, and challenges of CSC, with a specific focus on identifying the success factors crucial for achieving favorable outcomes. Drawing upon insights from eight expert managers using a mixed-method approach, the study highlights the significance of addressing internal barriers and prioritizing key success factors to ensure successful outcomes in CSC. The research methodology involves a literature review, a pre-stage questionnaire, and semi-structured interviews to gather comprehensive data. The researchers have synthesized the findings to enhance an existing Co-Canvas model in a way that it is specifically tailored for CSC, thereby offering managers a practical framework to effectively navigate the complexities of CSC. The findings of this research hold implications for scholars, corporate leaders, and entrepreneurs, enabling them to evaluate past collaboration initiatives, identify potential sources of errors, and devise strategies to enhance their collaboration performance. By shedding light on the dynamics and success factors of CSC, this study contributes to the existing body of knowledge and offers valuable insights for strategically enhancing collaboration performance. However, the study refrains from making broad generalizations of the model due to the small sample size of experts.
Cost Optimization is a persistent discipline to adjust expenses and reduce costs while maximizing business value, and it has proven to be one of the most influential strategies to generate profits and stay competitive in the market. In this study, technical and strategic solutions that can lead to manufacturing cost optimization were considered. For this purpose, a test environment was created according to the DFMA methodology using the DFMA Concurrent Costing V4.1 software developed by Boothroyd Dewhurst Inc. and the production expenses of a JED029M3 aluminum bushing product from WABCO Group were analyzed.
Results revealed that these charges can be assigned to five main cost drivers Material, Machine Setup, Process, Scrap and Tools, of which Tooling was the most influential driver at lower volumes, while Material and Process remained two of the considerably substantial drivers across all ranges of volumes produced. Furthermore, among the optimization alternatives, the right choice for machine and raw material shape demonstrated to have a relative effects of less than 5% in reduction of manufacturing cost for 1,000 pieces, while outsourcing to China and transitioning toward economies of scale lowered could impact the total costs by -40% and -70%, respectively.
The platform business model replaces the traditional linear value chain model, demonstrating how value can be created differently. The emergence of new platforms in various industries during the last decade has made it difficult to imagine a business without naming at least a handful of active platforms. The platform business model has been proven to revolutionize industries, and this study investigates the possibility of launching a platform business model in unprecedented arenas which still use conventional pipeline business models.
The study explores the process of generating ideas for a new opportunity in the platform business model. After generating 11 ideas, screening and evaluating methods were studied.
In today's fast-paced business environment, customers expect more than just high-quality products or services. They also demand excellent customer support that is both efficient and personalized. With the growth of businesses and the increasing complexity of products and services, providing efficient customer support has become a critical component of any successful business strategy to fulfill customers and user’s expectations. The present study investigates the need for a technical support helpdesk solution within the business unit Industrial Hydraulics of Bosch Rexroth, a global leader in drive and control technology. The primary objective of this thesis is to assess the current state of the support processes, identify areas of weakness, and leverage these insights to optimize and enhance them. The focus will be on finding a way to enhance transparency of customer data.
Based on the theory to process optimization, a current state analysis was conducted, and expert interviews were carried out to identify weaknesses and potential solutions for improving customer support. The research question "How can the Industrial Hydraulics Services of Bosch Rexroth deliver more effective and efficient customer support?" is addressed through the findings that a central platform is necessary to handle customer inquiries more efficiently, given the diverse communication channels and varying modes of operation within the business unit. The use of the existing SAP CRM ticketing system Robin is suggested as an efficient solution path, which should be optimized for future use based on the identified optimization approaches. The results underscore the importance of a unified approach to working, which is vital for the success of the business unit, resulting in increased efficiency, quality, collaboration, scalability, and customer orientation.
This thesis examines causes and effects of El Salvador’s transition to official dollarization conducted in 2001. The document analyzes preliminary and final impacts in the real, financial, fiscal, and external sectors of the country, and it also provides an economic and social perspective on how these effects have caused little effect on Salvadoran society. Several authors remark official dollarization might have positive effects on countries with macroeconomic disorders such as high inflation rates and drastic exchange rate variations. After more than 20 years of adoption of the U.S. dollar, official dollarization does not appear to have affected positively life of Salvadoran citizens but rather has prevented governments from using monetary policy to apply irresponsible economic policies and has also helped to prevent high inflation rates. To take advantage of the benefits official dollarization can offer, it is highly recommendable for El Salvador to implement transformative social and economic investments and policies that boost human development and economic competitiveness.
After-sales services play a crucial role in companies’ profit. Their importance is expected to increase given the intensifying leveling of product competition and a shift toward a buyer’s market. Ticketing systems are increasingly integrated into these services because of their ability to bundle multiple support channels, enhance the support’s knowledge base, and cut costs.
This thesis aims to create a comparative overview of ticketing systems, which evaluates eight selected market alternatives and one tentative in-house solution according to their compliance with the requirements of the focus company. This comparison is made by exploring the literature concerning build-or-buy, software evaluation and selection, and analyzing several guided interviews.
The results seek to aid the company in deciding on a ticketing system that meets its requirements, as well as to act as a blueprint for other SMEs. The findings include two recommended alternatives in conjunction with further strategic and decision-making considerations. The study ends with an outlook for academia and businesses.
This research examines the impact of social media on consumer behavior, focusing on how consumer behavior and habits change after the use of social media by German and Chinese young consumers. A comparison of the differences between the two groups is also conducted. The study was conducted based on theoretical background and terminology, followed by six hypotheses. Then this research determined the scope, target population, and sample size before using focus groups and online questionnaires as survey methods. While analyzing the questionnaire data, the research tested the hypotheses and demonstrated the effects between the variables. The results indicated partial agreement with existing studies. Browsing time positively correlates with the purchase journey. The duration of online discounts negatively correlates with transaction speed. Young consumers' demand increases with the amount of time they spend browsing product advertisements. However, some findings ran counter to previous investigations. The impact of SMM on young consumers has no adverse effect on the time spent browsing products. Moreover, only in some cases, young consumers' purchase intentions are positively correlated with demand.
Keywords: Young consumers, Social media marketing, Consumer behavior, Purchase journey, Purchase intention, Online time-limited discounts, Demand
This study investigates the interrelationship between Knowledge Management (KM) and employee satisfaction and proposes strategic implementation steps for the further development and acceptance improvement of a new Operational Framework (Blueprint) at Robert Bosch GmbH, Power Electronics. Two primary research questions are addressed: (1) whether KM offers insights into and explanations for employee satisfaction issues, and (2) what strategic implementation steps can be derived for the development and acceptance of the Blueprint. The research commenced with an analysis of existing employee satisfaction surveys, supplemented by in-depth interviews, to understand the current state of employee satisfaction in the business unit undergoing transformation. The literature review was then conducted to ascertain the connection between KM and employee satisfaction. Subsequently, the study engaged in multiple interviews with top management in the Power Electronics business unit to identify implementation measures and best practices across various industries. A comprehensive set of practices was established and subsequently evaluated in a workshop involving line employees from the business unit, integrating theoretical findings with practical experiences. The final recommendations were grouped into three categories: Meeting Structure, Culture and Leadership, and Knowledge Management Guidance. The findings underscore the significance of KM in promoting employee satisfaction and suggest that the proposed strategic steps can foster the further development and acceptance of the Blueprint at Robert Bosch GmbH, Power Electronics.
As a leading medical technology company, KARL STORZ SE & Co. KG continuously wants to bring innovations and applications into the market and expand its existing product portfolio. As strategic initiatives, the company has set priorities and goals to ensure its sustained success. One of those strategic initiatives is to start developing new products in the field of robotic surgery and compete in this segment. To achieve these ambitions, the company decided to spin off its robotic solutions department and establish a new business called KARL STORZ VentureONE Pte. Ltd. With a smaller and more agile structure, the new venture seeks to implement new ways of working and promote innovation.
This new-born company is playing in a fast-growing market that one single competitor has traditionally dominated. However, robotic surgery still has much potential, and existing suppliers have not yet reached different market segments. One segment that has called the attention of the spin-off is the ambulatory surgery centers in the US.
These surgical institutions are growing and gaining relevance in the American surgery landscape. Hence, the company is particularly interested in developing a robotic solution for this segment. Before introducing a product, the company must understand the target customer intended to address. Management at the new venture is also convinced that new business models can be successfully implemented in this segment. Thus, this academic work aims to evaluate the ambulatory surgery center market in the US and propose a suitable business model for this target customer.
For this purpose, this thesis was divided into two main parts. The first aimed to conduct market research on the ambulatory surgery centers in the US by collecting secondary data from articles, reports, and governmental publications. The second part focused on proposing a business model for the ambulatory surgery center segment. To do so, primary data was obtained by interviewing experts in this market.
The research found that the ambulatory surgery centers segment is a growing market where robotic surgery has not yet been fully implemented due to its high cost and reduced reimbursement rates for outpatient procedures. Another barrier to robotic surgery in surgery centers is the high upfront investment needed to buy the technology. Based on these insights, different business models, such as leasing, renting, pay-per-use, and subscription, were assessed. A subscription model was selected and further developed by presenting the most advantages. Using the “Business Model Navigator” methodology, this work defined and documented the target customer, the value proposition, the value chain, and the profit mechanism.
Abstract
In today's business world, it is evident how, thanks to digital transformation, new business models have emerged, especially in the retail industry. Changes in customer preferences have been one of the main reasons why the vast majority of companies within the retail industry have accelerated their digital transformation processes. Evidence has also been found that this change in consumer thinking is related to one of the side effects left by the Covid-19 pandemic, where digital channels gained more strength due to the limitations of physical contact between product providers and their customers. Therefore, changes in consumer thinking and the use of new digital platforms have brought new challenges for companies transforming their businesses from offline to online. The biggest challenges for those companies are not only related to implementing new business models such as online sales or so-called E-commerce platforms but also attributed to the creation of unique and invaluable experiences for the customer, allowing the companies to retain their consumers and create loyalty.
Creating an outstanding customer experience is not an easy task on these platforms since the reach of digital channels is almost infinite, which makes the new entrepreneurs in this industry rethink over and over again the best strategy to approach their customers so that they feel delighted in their customer journey. The present work seeks to provide a solution to the challenge evidenced in the E-commerce platforms, where the main objective is to recognize, through the customer journey, all the critical touchpoints and elements to add value to the shopping experience and to raise levels of customer satisfaction. With the help of tools that measure the levels of customer satisfaction and dissatisfaction, such as the Kano model, and through a recommendation system, the current paper provides com- panies that trade their products online with a detail of what services should be improved in the shopping experience to be highly attractive. In addition, a guide is provided where its application in each company will show in a quantitative way what the customer satis- faction levels are like. This work, through exhaustive research in academia, concludes that the factors that most stimulate customer satisfaction are those related to e-services quality and highlights the importance of “Personalized information”, “Online sales agent”, and “Website reviews and rating” services to add value to customers in one of the most competitive markets, such as E-commerce.
The business environment has changed within the past few decades. Growing global competition and the trend of shortening product life-cycle have reshaped the market, coercing companies into reconsidering their business strategies and product development. Higher quality, better time-to-delivery, and cost optimization are crucial factors for firms to compete in this tumultuous market. Therefore, companies are adopting a New Product Development (NPD), which is agile and customer-centric. The path toward change, however, is not identical for every enterprise since companies have their own unique organizational architecture and culture, demanding a thorough consideration of various facets of change, which is the focus of this study. EKU Power Drives, the company case study for this research, is actively involved in innovating electrification solutions and embedded software control for mobile power generation in the oil and gas industry upstream segment. The firm is considering transforming to an agile-based framework to fulfill its vision, which is becoming the most preferred partner for the key players in the target markets. This study aims to investigate the optimal Agile methodology and framework for the case study according to its business context, identify the challenges and how to address them, and outline an implementation procedure.
This thesis analyzes the effects that product label certification of Fairtrade products and the retail format where they are bought by consumers (Supermarkets vs. Discounters) have on the Willingness-to-Pay (WTP) of common grocery store goods. The thesis builds on data obtained from an online-conducted survey where participants had to respond if a determined price point was deemed as cheap or expensive to them and based on the average reaction times of their answers we determined the individual WTP. Two-way ANOVA analysis were performed with this data and some interesting findings were discovered: while a difference can be observed in consumers WTP for goods depending on the retail environment where they are acquired, there is no evidence of multiplicative effect of product labeling and retail format.
Platforms are increasingly playing a more critical role in companies’ activities. The intense competition in the market and the global economic situation have promoted the transformation of traditional business models, making enterprises adopt digital transformation solutions (Ot, 2022).
Nowadays, there is an increasing amount of data generated on the internet and mobile apps, which have allowed the exponential growth of platforms, allowing value cocreation and enabling an ecosystem composition that has transformed the linear value chain into a platform business model (Şimşek, Öner, Kunday, & Olcayc, 2022).
The healthcare industry has experienced significant changes in recent years, driven by technological advances, increasing focus on cost-effectiveness and quality of healthcare services.
The use of technology and digital platforms to offer care and enhance patient experience is one of the main areas on which healthcare organizations focus. There is a high potential for telemedicine and remote patient monitoring to revolutionize healthcare services (Sjöström, Lars, & Eva, 2017).
The creation of integrated care models, which combine various health providers to give patients a better treatment and service, is another important topic of interest for healthcare organizations. Integrated care models can enhance patient outcomes, save healthcare costs, and boost patient satisfaction. Integrated healthcare models can also help in reducing healthcare system division and enhancing the coordination of care services for patients (Kodner & Spreeuwenberg, 2002).
Other digital initiatives such as data analytics and artificial intelligence are also emerging as a promising approach to improve healthcare services' quality and support decision-making in healthcare. These technologies can provide more accurate and timely information to healthcare providers and enable more effective and efficient care delivery. Medical service transformation is a cross-departmental and cross-level collaboration that demands the participation of the government, firms, consumers, and other participants (Hughes, Shaw, & Greenhalgh, 2020). The Healthcare system has shifted its service from supply management to value cocreation, rebuilding the social framework through technological change. This new business model approach gives openings to different members to cocreate and add value to current products and services (Leone, Schiavone, Appio, & Chiao, 2021).
Despite the benefits of introducing digitalization and a multi-level business model to the healthcare system, its application has needed to be faster because of multiple factors, such as information integration and the application of connectivity technologies and the telematic infrastructure. Additionally, the healthcare system represents a complex structure regulated by the government and dynamized by the interaction of individuals and service providers. Therefore, some other challenges represent the governmental laws and regulations, patient information privacy concerns, and stakeholders’ willingness to adopt the business model. (Viswanadham, 2021).
Therefore, this study aims to research the Status Quo of the Health Care Industry and to explore the opportunities and challenges of platform business models in the healthcare industry.
The results of this study can provide insights into the critical success factors that can help to drive the adoption and implementation of multilevel business models. It also can inform the decision-making strategies and healthcare initiatives adopted by different countries due to digitalization.
Climate change is currently one of the biggest challenges both in terms of danger to natural habitats, wildlife, and humanity. To tackle climate change, we need to reduce our carbon emissions in a fast and decisive way. This thesis studies one of the potential solutions to do so: green hydrogen. More specifically, its potential development by 2030 in Spain using INKA 4.0 scenario planning software.
Green hydrogen shows to have a wide range of applications, from transport to heating and industry with great potential to decarbonize many sectors. It does come, however with a number of important hurdles mainly related to cost, scalability and technical difficulties that will need to be addressed for it to be successful. With this, 10 descriptors were created generating three scenarios to be studied. The most consistent of them, a successful development of green hydrogen in Spain by 2030 is characterized by having all of its descriptors in a favoring state while the other two have some or all in a hindering state, making its development not successful within the established timeframe. Concluding that due to the great challenge the development of green hydrogen is, its success needs to have all factors supporting it.
The sector of supply chain risk management has been expanding for several years now, with the goal to not only prepare organizations to recover after supply-chain disruptions but also mitigate risks to reduce losses.
One of the most remarkable techniques in the field is the Artificial Intelligence technology, which owing to its effectiveness and efficiency, allows humans to develop new solutions to predict or prevent a great variety of supply-chain disruptions.
This paper aims to forecast the future state of the Artificial Intelligence technology in Europe by 2035 with the use of the INKA 4 scenario manager software. A total of four areas of influence –– i.e., technological, financial, legal, and social –– were identified.
From those, 11 descriptors were created based on relevant scientific literature and were inserted in the INKA software to develop the scenarios. This process resulted in three clearly differentiated scenarios that exhibit high probabilities and positive outlook for the Artificial Intelligence technology to be widely integrated in supply chain risk management systems in Europe by 2035.
Organizations invest money, time and energy on fostering gender diversity at the workplace. Other than being fair, diversity has been proved to improve company performance, as it promotes innovation, creative thinking and decision-making capabilities, as an example. However, having said that, there are still some sectors or areas which lack of a fair representation between men and women. In order to build a more balanced workforce, it is necessary for the organization to find ways to be appealing to all groups. One way can be to focus on the recruitment process.
The recruitment process contains some major and minor biases, which can influence the hiring decision. In most recent years, it has been revealed that the words used in job postings can in fact encourage or discourage different groups of people, in this case, men and women. That is due to the fact that language is gendered, because men and women communicate who they are, what they want, what they need differently. Language is strictly related to how one person is perceived in the society and the role they have, with the risk of falling into a stereotype.
The objective of the paper is to study and explain the effect of wording in job postings. To do so, around 200 participants have replied to a questionnaire which presents ten sets of job descriptions containing and comparing gendered words. The questionnaire allows to compare the answers from men and women and assess to what extend wording influence the application decision. It appears that women are more reactive to biased language than men and they prefer female-themed terms; despite being more indifferent, men also lean towards feminine language in some cases.