Essays on the measurement of school efficiency

Measuring school efficiency is a challenging task. First, a performance measurement technique has to be selected. Within Data Envelopment Analysis (DEA), one such technique, alternative models have been developed in order to deal with environmental variables. The majority of these models lead to diverging results. Second, the choice of input and output variables to be included in the efficiency analysis is often dictated by data availability. The choice of the variables remains an issue even when data is available. As a result, the choice of technique, model and variables is probably, and ultimately, a political judgement. Multi-criteria decision analysis methods can help the decision makers to select the most suitable model. The number of selection criteria should remain parsimonious and not be oriented towards the results of the models in order to avoid opportunistic behaviour. The selection criteria should also be backed by the literature or by an expert group. Once the most suitable model is identified, the principle of permanence of methods should be applied in order to avoid a change of practices over time. Within DEA, the two-stage model developed by Ray (1991) is the most convincing model which allows for an environmental adjustment. In this model, an efficiency analysis is conducted with DEA followed by an econometric analysis to explain the efficiency scores. An environmental variable of particular interest, tested in this thesis, consists of the fact that operations are held, for certain schools, on multiple sites. Results show that the fact of being located on more than one site has a negative influence on efficiency. A likely way to solve this negative influence would consist of improving the use of ICT in school management and teaching. Planning new schools should also consider the advantages of being located on a unique site, which allows reaching a critical size in terms of pupils and teachers. The fact that underprivileged pupils perform worse than privileged pupils has been public knowledge since Coleman et al. (1966). As a result, underprivileged pupils have a negative influence on school efficiency. This is confirmed by this thesis for the first time in Switzerland. Several countries have developed priority education policies in order to compensate for the negative impact of disadvantaged socioeconomic status on school performance. These policies have failed. As a result, other actions need to be taken. In order to define these actions, one has to identify the social-class differences which explain why disadvantaged children underperform. Childrearing and literary practices, health characteristics, housing stability and economic security influence pupil achievement. Rather than allocating more resources to schools, policymakers should therefore focus on related social policies. For instance, they could define pre-school, family, health, housing and benefits policies in order to improve the conditions for disadvantaged children

Riigiasutuse soorituse hindamine ebakindla nõudluse tingimustes Eesti, Soome ja Rootsi päästeteenuste näitel

Uuringuprobleem. Kui riigiasutus jaotab oma ressursse, on nõudlus nende teenuste järele tihti kindlalt teadmata. Omamata täielikku teavet nõudlusest, kindlustab otsustaja ennast nõudlusšokkide vastu täiendavate ressurssidega (suurendab valmisolekut). Kulu- ja tõhususanalüüsid eeldavad üldjuhul, et nõudlust iseloomustavad parameetrid on teada (või ei pöörata sellele tähelepanu), mis on aga ebarealistlik ega arvesta teenuse osutamise keerukusega riigiasutuses. Enamasti toob see kaasa soorituse tõhususe liiga madala hinnangu. Üleliigset ressursivarustatust (valmisolekut) teenuste osutamiseks võib osaliselt selgitada otsustajate riskikartliku käitumisega, mistõttu peaks riskihinnang olema osa soorituse hinnangust, vältimaks sellise ressursivarustatuse käsitlemist ebatõhususena. Ex ante, võttes arvesse oodatud nõudlust, võib ressursside jaotus olla optimaalne, kuid mitte ex post, kui on teada reaalne nõudluse tase. Doktoritöö eesmärgiks oli välja töötada teoreetiline kontseptsioon ja rakendus, kuidas hinnata sooritust riigiasutuses, mis toimib ebakindla nõudluse tingimustes. Et hinnata mitme üksusega ja mitmel tasandil toimivat teenuseid osutavat riigiasutust ebakindla nõudluse tingimustes, loodi süsteem, milles hinnati (a) keskse riigiasutuse kulutõhusust, (b) allüksuste alavarustatust ja (c) allüksuste väljundtõhusust. Soorituse hindamiseks kasutati piirianalüüsi meetodeid (DEA, FDH, DFA) ning kontseptsiooni rakendati Eesti, Soome ja Rootsi päästevaldkonna näitel. Tulemused ja tähtsus. Päästeteenuseid pakutakse mitmete allüksuste poolt erinevates piirkondades. Teenuste osutaja otsustab esialgselt, kuidas ressursid (päästjad, masinad) erinevates piirkondades jaotada, teadmata seejuures, kui palju päästesündmusi seal tegelikult aset leiab. Allüksused hoiavad teatud valmisoleku taset, et vajaduse korral päästesündmusele reageerida. Valmisoleku tagamine on aga kõige kulukam komponent eelarves, mistõttu on oluline, et ressursid oleks jaotatud nii, et ei tekiks liigseid kulusid, st minimeeritakse valmisoleku taset optimaalse mahu ja kvaliteediga päästeteenuse pakkumiseks. Saadud tulemused näitavad veenvalt, et mudelid, mis arvestavad nõudluse ebakindlusega, hindavad kulutõhususe kõrgemaks kui standardsed mudelid, olenemata hindamismeetodist või hinnatud riigist.Description of the Problem. When planning the allocation of resources in public agencies, the demand for services is often unknown and prone to uncertainty. Without having the full information of the possible demand, the decision maker will insure oneself with additional standby capacity against upsurges in demand. Cost and efficiency studies predominantly assume known demand, which is unrealistic and hinders understanding the essence of service provision in public agencies. In many cases, it has probably resulted in underestimation of efficiency. The observed excess capacity can partly be explained by risk averse behaviour and should be incorporated to the analysis to avoid unjustly labelling such input usage as inefficiency. Ex ante, given expected demand, the resource allocation is optimal, but not ex post, given realised levels of demand. The challenge is to distinguish the necessary standby capacity from excessive mismanagement. This thesis develops the theoretical concept and application to measure the performance of public agencies in the case of demand uncertainty. To evaluate the efficiency of a multi-unit and multilevel service providing public agency in the presence of demand uncertainty, one is interested in: (a) the cost-efficiency of the central agency, (b) any under-resourcing of subunits, and (c) the output-oriented technical efficiency of each subunit in jurisdictions. The suggested models would be the basis for planning resource allocation improvement in public agencies. The models are implemented using the example of the Estonian, Finnish and Swedish fire and rescue services. For estimation, different frontier analysis methods (DEA, FDH, DFA) are proposed. Result and Benefit. Typically, the rescue authority decides beforehand to allocate resources (rescuers, vehicles, etc.) between different subunits in jurisdictions without knowing how many emergencies will occur. The subunits must maintain a certain level of standby capacity to be able to respond to emergencies. Sustaining the readiness, however, is the most expensive component in the running costs. The results show convincingly that the models taking the demand uncertainty in the form of minimum service level into account, estimate a higher cost-efficiency irrespective of the estimation method or country (with different level of centralisation for management) analysed

A Systematic Inquiry on Global Engineering Education: Strategies and Impact

Higher education has increasingly emphasized global education programming as a core piece of its strategic goals over the past few decades, yet little empirical data has been collected to inform the decisions of global programming within the U.S, especially in the engineering discipline. As higher education institutions attempt to formalize their strategies for achieving global competency and invest in internationalizing their engineering programs, research is needed regarding: (1) key global engineering education target areas and their relationship to sustained global programming efforts; (2) programming directions that can be used by universities in general and engineering schools in particular; and (3) how effective programming contributes to students’ global competency development. Three separate studies framed in different analytical lenses are employed to address these research objectives. The first study uses a participatory, integrative mixed-methods approach to develop an operational framework for global strategies, policies, and programs. A thematic, qualitative analysis of semi-structured interviews with a group concept mapping activity was conducted with directors of study abroad and vice provosts of global education from nine universities regarding their global programming strategies, intended outcomes, and organizational resources that support the internationalization process. Global engineering education research has grown increasingly complex, and of particular importance is related to engineering students’ global perspectives. The second study applies finite mixture models to characterize engineering students’ global perspective development patterns. Further, the relationship among global perspective patterns, student backgrounds and prior international experiences is explored. The third study employs data envelopment analysis to investigate how engineering students utilize international experiences in college and the relative efficiency of students’ global perspective development. The results are used to identify which international experiences get the most “bang for your buck” and how engineering programs can tailor their international experiences to their student populations. The results of this research provide both implicit and explicit engineering school-wide global programming strategies and their sustainable development. Triangulating the results from each study informs international engineering education policy makers and scholars, and provides actionable information for program directors to further educate engineering student populations for the 21st century

Operational Research: Methods and Applications

Throughout its history, Operational Research has evolved to include a variety of methods, models and algorithms that have been applied to a diverse and wide range of contexts. This encyclopedic article consists of two main sections: methods and applications. The first aims to summarise the up-to-date knowledge and provide an overview of the state-of-the-art methods and key developments in the various subdomains of the field. The second offers a wide-ranging list of areas where Operational Research has been applied. The article is meant to be read in a nonlinear fashion. It should be used as a point of reference or first-port-of-call for a diverse pool of readers: academics, researchers, students, and practitioners. The entries within the methods and applications sections are presented in alphabetical order. The authors dedicate this paper to the 2023 Turkey/Syria earthquake victims. We sincerely hope that advances in OR will play a role towards minimising the pain and suffering caused by this and future catastrophes

Sustainable Value Co-Creation in Welfare Service Ecosystems : Transforming temporary collaboration projects into permanent resource integration

The aim of this paper is to discuss the unexploited forces of user-orientation and shared responsibility to promote sustainable value co-creation during service innovation projects in welfare service ecosystems. The framework is based on the theoretical field of public service logic (PSL) and our thesis is that service innovation seriously requires a user-oriented approach, and that such an approach enables resource integration based on the service-user’s needs and lifeworld. In our findings, we identify prerequisites and opportunities of collaborative service innovation projects in order to transform these projects into sustainable resource integration once they have ended

Operational Research: Methods and Applications

Throughout its history, Operational Research has evolved to include a variety of methods, models and algorithms that have been applied to a diverse and wide range of contexts. This encyclopedic article consists of two main sections: methods and applications. The first aims to summarise the up-to-date knowledge and provide an overview of the state-of-the-art methods and key developments in the various subdomains of the field. The second offers a wide-ranging list of areas where Operational Research has been applied. The article is meant to be read in a nonlinear fashion. It should be used as a point of reference or first-port-of-call for a diverse pool of readers: academics, researchers, students, and practitioners. The entries within the methods and applications sections are presented in alphabetical order

Sustainable Smart Cities and Smart Villages Research

ca. 200 words; this text will present the book in all promotional forms (e.g. flyers). Please describe the book in straightforward and consumer-friendly terms. [There is ever more research on smart cities and new interdisciplinary approaches proposed on the study of smart cities. At the same time, problems pertinent to communities inhabiting rural areas are being addressed, as part of discussions in contigious fields of research, be it environmental studies, sociology, or agriculture. Even if rural areas and countryside communities have previously been a subject of concern for robust policy frameworks, such as the European Union’s Cohesion Policy and Common Agricultural Policy Arguably, the concept of ‘the village’ has been largely absent in the debate. As a result, when advances in sophisticated information and communication technology (ICT) led to the emergence of a rich body of research on smart cities, the application and usability of ICT in the context of a village has remained underdiscussed in the literature. Against this backdrop, this volume delivers on four objectives. It delineates the conceptual boundaries of the concept of ‘smart village’. It highlights in which ways ‘smart village’ is distinct from ‘smart city’. It examines in which ways smart cities research can enrich smart villages research. It sheds light on the smart village research agenda as it unfolds in European and global contexts.

Manager’s and citizen’s perspective of positive and negative risks for small probabilities

So far „risk‟ has been mostly defined as the expected value of a loss, mathematically PL, being P the probability of an adverse event and L the loss incurred as a consequence of the event. The so called risk matrix is based on this definition. Also for favorable events one usually refers to the expected gain PG, being G the gain incurred as a consequence of the positive event. These “measures” are generally violated in practice. The case of insurances (on the side of losses, negative risk) and the case of lotteries (on the side of gains, positive risk) are the most obvious. In these cases a single person is available to pay a higher price than that stated by the mathematical expected value, according to (more or less theoretically justified) measures. The higher the risk, the higher the unfair accepted price. The definition of risk as expected value is justified in a long term “manager‟s” perspective, in which it is conceivable to distribute the effects of an adverse event on a large number of subjects or a large number of recurrences. In other words, this definition is mostly justified on frequentist terms. Moreover, according to this definition, in two extreme situations (high-probability/low-consequence and low-probability/high-consequence), the estimated risk is low. This logic is against the principles of sustainability and continuous improvement, which should impose instead both a continuous search for lower probabilities of adverse events (higher and higher reliability) and a continuous search for lower impact of adverse events (in accordance with the fail-safe principle). In this work a different definition of risk is proposed, which stems from the idea of safeguard: (1Risk)=(1P)(1L). According to this definition, the risk levels can be considered low only when both the probability of the adverse event and the loss are small. Such perspective, in which the calculation of safeguard is privileged to the calculation of risk, would possibly avoid exposing the Society to catastrophic consequences, sometimes due to wrong or oversimplified use of probabilistic models. Therefore, it can be seen as the citizen‟s perspective to the definition of risk