Cloud Computing in Emerging Biotech and Pharmaceutical Companies

The purpose of this research is to determine the qualitative advantages and disadvantages of cloud computing in emerging biotech and pharmaceutical companies. From the perspective of four small biotech and pharmaceutical organizations the research investigated the positive and negative aspects of cloud computing and how it impacted the way these organizations conduct business in an increasingly complex global community. The research techniques were mixed qualitative methods that provided cross-examination and included action research, observations, interviews, surveys, and case studies. The analysis used triangulation and resulted in the discovery of patterns and themes, which provided separate interpretations and assertions of perceived benefits and obstacles. The research indicated that small biotech and pharmaceutical companies find cloud computing very attractive with some relatively minor drawbacks, which can be mitigated with adequate planning and proper implementation

Cloud-computing strategies for sustainable ICT utilization : a decision-making framework for non-expert Smart Building managers

Virtualization of processing power, storage, and networking applications via cloud-computing allows Smart Buildings to operate heavy demand computing resources off-premises. While this approach reduces in-house costs and energy use, recent case-studies have highlighted complexities in decision-making processes associated with implementing the concept of cloud-computing. This complexity is due to the rapid evolution of these technologies without standardization of approach by those organizations offering cloud-computing provision as a commercial concern. This study defines the term Smart Building as an ICT environment where a degree of system integration is accomplished. Non-expert managers are highlighted as key users of the outcomes from this project given the diverse nature of Smart Buildings’ operational objectives. This research evaluates different ICT management methods to effectively support decisions made by non-expert clients to deploy different models of cloud-computing services in their Smart Buildings ICT environments. The objective of this study is to reduce the need for costly 3rd party ICT consultancy providers, so non-experts can focus more on their Smart Buildings’ core competencies rather than the complex, expensive, and energy consuming processes of ICT management. The gap identified by this research represents vulnerability for non-expert managers to make effective decisions regarding cloud-computing cost estimation, deployment assessment, associated power consumption, and management flexibility in their Smart Buildings ICT environments. The project analyses cloud-computing decision-making concepts with reference to different Smart Building ICT attributes. In particular, it focuses on a structured programme of data collection which is achieved through semi-structured interviews, cost simulations and risk-analysis surveys. The main output is a theoretical management framework for non-expert decision-makers across variously-operated Smart Buildings. Furthermore, a decision-support tool is designed to enable non-expert managers to identify the extent of virtualization potential by evaluating different implementation options. This is presented to correlate with contract limitations, security challenges, system integration levels, sustainability, and long-term costs. These requirements are explored in contrast to cloud demand changes observed across specified periods. Dependencies were identified to greatly vary depending on numerous organizational aspects such as performance, size, and workload. The study argues that constructing long-term, sustainable, and cost-efficient strategies for any cloud deployment, depends on the thorough identification of required services off and on-premises. It points out that most of today’s heavy-burdened Smart Buildings are outsourcing these services to costly independent suppliers, which causes unnecessary management complexities, additional cost, and system incompatibility. The main conclusions argue that cloud-computing cost can differ depending on the Smart Building attributes and ICT requirements, and although in most cases cloud services are more convenient and cost effective at the early stages of the deployment and migration process, it can become costly in the future if not planned carefully using cost estimation service patterns. The results of the study can be exploited to enhance core competencies within Smart Buildings in order to maximize growth and attract new business opportunities

Agile Processes in Software Engineering and Extreme Programming – Workshops

This open access book constitutes papers from the 5 research workshops, the poster presentations, as well as two panel discussions which were presented at XP 2021, the 22nd International Conference on Agile Software Development, which was held online during June 14-18, 2021. XP is the premier agile software development conference combining research and practice. It is a unique forum where agile researchers, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends. XP conferences provide an informal environment to learn and trigger discussions and welcome both people new to agile and seasoned agile practitioners. The 18 papers included in this volume were carefully reviewed and selected from overall 37 submissions. They stem from the following workshops: 3rd International Workshop on Agile Transformation 9th International Workshop on Large-Scale Agile Development 1st International Workshop on Agile Sustainability 4th International Workshop on Software-Intensive Business 2nd International Workshop on Agility with Microservices Programmin

Ecosystem synergies, change and orchestration

This thesis investigates ecosystem synergies, change, and orchestration. The research topics are motivated by my curiosity, a fragmented research landscape, theoretical gaps, and new phenomena that challenge extant theories. To address these motivators, I conduct literature reviews to organise existing studies and identify their limited assumptions in light of new phenomena. Empirically, I adopt a case study method with abductive reasoning for a longitudinal analysis of the Alibaba ecosystem from 1999 to 2020. My findings provide an integrated and updated conceptualisation of ecosystem synergies that comprises three distinctive but interrelated components: 1) stack and integrate generic resources for efficiency and optimisation, 2) empower generative changes for variety and evolvability, and 3) govern tensions for sustainable growth. Theoretically grounded and empirically refined, this new conceptualisation helps us better understand the unique synergies of ecosystems that differ from those of alternative collective organisations and explain the forces that drive voluntary participation for value co-creation. Regarding ecosystem change, I find a duality relationship between intentionality and emergence and develop a phasic model of ecosystem sustainable growth with internal and external drivers. This new understanding challenges and extends prior discussions on their dominant dualism view, focus on partial drivers, and taken-for-granted lifecycle model. I propose that ecosystem orchestration involves systematic coordination of technological, adoption, internal, and institutional activities and is driven by long-term visions and adjusted by re-visioning. My analysis reveals internal orchestration's important role (re-envisioning, piloting, and organisation architectural reconfiguring), the synergy and system principles in designing adoption activities, and the expanding arena of institutional activities. Finally, building on the above findings, I reconceptualise ecosystems and ecosystem sustainable growth to highlight multi-stakeholder value creation, inclusivity, long-term orientation and interpretative approach. The thesis ends with discussing the implications for practice, policy, and future research.Open Acces

Establishing realistic performance measurements for customer relationship management in the SME context

This research reviews aspects. of Customer Relationship Management (CRM) literature. It examines, in particular, the area of CRM performance measurement. The main objective of this research is to develop a business-orientated measurement tool for the assessment of CRM performance. The research context is set within the Small and Medium-sized Enterprises (SMEs) across the United Kingdom. Although the literature review showed that there are both successful· and unsuccessful cases of CRM performance, the research highlighted a significant issue concerning CRM performance measurement. It was found that many companies are unable to quantify their performance claims. Additionally, there is little or no strong evidence that companies measure their CRM performance, it is therefore questionable in regard to the justification of reported cases of CRM success and failure. Further literature evidence on the area of existing CRM performance measurement tools was critically reviewed. Overall the evidence points to the need for a simplified and realistic measurement tool that is based on what CRM user companies are actually doing or capable of doing regarding the assessment of CRM performance. Research methodological approaches undertaken were hierarchical in their nature. Two stages of empirical work were conducted: questionnaire survey and semistructured interviews. The questionnaire survey covered the scope of 2,200 SMEs across the United Kingdom. The survey aimed to identify Key Performance Indicators (KPIs) ,adopted by companies and to also create a profile of CRM companies for the next phase of research. The interview stage aimed to gain insight into CRM performance measurement in order to aid the development of a practical and business-orientated CRM performance measurement framework. There were 26 self-selected CRM user companies involved at the interview stage. Results from the quantitative analysis of survey data revealed a number of KPIs adopted by companies including the profile of CRM users. The qualitative· and quantitative analyses of interview data allowed a CRM performance measurement framework to be derived and developed. The main findings suggested that companies should focus primarily on assessing the process rather than putting the entire focus only on the final outcome or bottom line (i.e. financial outcome). The close relationship between the process and outcome measures implied that the effective assessment ofprocess would result in the effective outcome. There were also other outcomes relevant to the research such as issues with CRM market forecasts, issues with existing CRM measurement tools and extreme views on CRM. In regard to the ways they assess their CRM, one of the interesting findings of this research revealed that CRM user companies who view CRM from a customer perspective enabled by technology perspective appear to be more successful than those who view CRM solely from a strategy perspective

Proceedings der 11. Internationalen Tagung Wirtschaftsinformatik (WI2013) - Band 1

The two volumes represent the proceedings of the 11th International Conference on Wirtschaftsinformatik WI2013 (Business Information Systems). They include 118 papers from ten research tracks, a general track and the Student Consortium. The selection of all submissions was subject to a double blind procedure with three reviews for each paper and an overall acceptance rate of 25 percent. The WI2013 was organized at the University of Leipzig between February 27th and March 1st, 2013 and followed the main themes Innovation, Integration and Individualization.:Track 1: Individualization and Consumerization Track 2: Integrated Systems in Manufacturing Industries Track 3: Integrated Systems in Service Industries Track 4: Innovations and Business Models Track 5: Information and Knowledge ManagementDie zweibändigen Tagungsbände zur 11. Internationalen Tagung Wirtschaftsinformatik (WI2013) enthalten 118 Forschungsbeiträge aus zehn thematischen Tracks der Wirtschaftsinformatik, einem General Track sowie einem Student Consortium. Die Selektion der Artikel erfolgte nach einem Double-Blind-Verfahren mit jeweils drei Gutachten und führte zu einer Annahmequote von 25%. Die WI2013 hat vom 27.02. - 01.03.2013 unter den Leitthemen Innovation, Integration und Individualisierung an der Universität Leipzig stattgefunden.:Track 1: Individualization and Consumerization Track 2: Integrated Systems in Manufacturing Industries Track 3: Integrated Systems in Service Industries Track 4: Innovations and Business Models Track 5: Information and Knowledge Managemen