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1	Time for change : a study of enrolment decision dynamics for admission into English secondary education Carter, David Andrew January 2018 (has links) Cross-sectional studies suggest a prevalence of mental health problems from the age that children change to English secondary schools but there are few longitudinal appraisals of these issues and how enrolment policies influence psychological wellbeing. This research focuses on key factors linking competition for secondary schools and family responses to such challenges to determine enrolment policies that can sustain wellbeing longer-term. Integrated, model-based multimethodology was used in this urban, case-based study. Views were induced from multi-agency, expert practitioners to agree a system dynamics concept model. Parental decision-making behaviours were deduced by survey to understand key factors for model calibration. Dynamic system sensitivities were abduced from the simulation model before comparing long-term psychosocial impacts on children from expert, policy-support suggestions. Modelling demonstrates that two principal feedback loops influence family psychosocial systems when deciding secondary schools (parent-child wellbeing reinforcement plus knowledge of schools balancing parent concerns). Exogenous competition stressors on psychosocial systems can erode parent knowledge while testing student resolve. Competition guidance to remove risk-laden school options (league table comparison) before sequencing any remaining choices by profit (school visits), are not always used deciding urban secondary schools. Instead, families lacking experience can adopt decisive styles based on parent needs alone. Given autocratic leadership, child wellbeing rapidly deteriorates when student needs cannot be met by schools. Rather than ending student-selective entrance tests or raising knowledge of schools at visits, effective multi-agency support policy helps by increasing school choice debate frequency within families to address psychosocial system imbalances. The research makes a clear, three-way contribution to knowledge. Firstly, intrinsic case study theory is enhanced by data triangulation between induced, deduced and abduced research approaches. Secondly, the system dynamics discipline is strengthened by studying compulsory school enrolment. Finally, developing practice-based policy through multi-agency groups endorses cooperative rather than unilateral solutions, for helping change lives.
2	Sistemas de información y nuevas tecnologías: influencias de las nuevas tecnologías en la estructura organizativa de la empresa cántabra García Ruiz, Maria Elena 08 October 2003 (has links) El trabajo pretender conocer la relación entre el empresariado y las nuevas tecnologías de la información. En su primera parte se analiza el entorno de complejidad en el que operan las organizaciones y se revisa la literatura existente sobre nuevas tecnologías de la información y la estructura organizativa de las empresas. En la segunda parte se analizan las nuevas tecnologías de la información a su llegada a las organizaciones, en concreto dentro de la Comunidad Autónoma Cántabra, mediante la realización de una encuesta y un estudio de casos sobre algunas empresas de dicha comunidad. multimetodología empresa cántabra sistemas de información estudio de casos case study information systems multimethodology information treatment models Organización de Empresas 65
3	IT’S IN THE DATA : A multimethod study on how SaaS-businesses can utilize cohort analysis to improve marketing decision-making Fridell, Gustav, Cedighi Chafjiri, Saam January 2020 (has links) Incorporating data and analytics within marketing decision-making is today crucial for a company’s success. This holds true especially for SaaS-businesses due to having a subscription-based pricing model dependent on good service retention for long- term viability and profitability. Efficiently incorporating data and analytics does have its prerequisites but can for SaaS-businesses be achieved using the analytical framework of cohort analysis, which utilizes subscription data to obtain actionable insights on customer behavior and retention patterns. Consequently, to expand upon the understanding of how SaaS-businesses can utilize data-driven methodologies to improve their operations, this study has examined how SaaS-businesses can utilize cohort analysis to improve marketing decision-making and what the prerequisites are for efficiently doing so. Thus, by utilizing a multimethodology approach consisting of action research and a single caste study on the fast-growing SaaS-company GetAccept, the study has concluded that the incorporation and utilization of cohort analysis can improve marketing decision-making for SaaS-businesses. This conclusion is drawn by having identified that: The incorporation of cohort analysis can streamline the marketing decision-making process; and The incorporation of cohort analysis can enable decision-makers to obtain a better foundation of information to base marketing decisions upon, thus leading to an improved expected outcome of the decisions. Furthermore, to enable efficient data-driven marketing decision-making and effectively utilize methods such as cohort analysis, the study has concluded that SaaS- businesses need to fulfill three prerequisites, which have been identified to be: Management that support and advocate for data and analytics; A company culture built upon information sharing and evidence-based decision-making; and A large enough customer base to allow for determining similarities within and differences between customer segments as significant. However, the last prerequisite applies specifically for methods such as or similar to cohort analysis. Thus, by utilizing other methods, SaaS-businesses might still be able to efficiently utilize data-driven marketing decision-making, as long as the first two prerequisites are fulfilled. saas software as a service software-as-a-service data cohort cohort analysis cohort-analysis marketing decision-making decision making marketing decision-making marketing decision making data subscription pricing model data-driven data driven analytics metrics multimethod multimethodology action reserach growth profitability segment Engineering and Technology Teknik och teknologier Business Administration Företagsekonomi Computer and Information Sciences Data- och informationsvetenskap

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