Lower Bound Restrictions on Intensities in Data Envelopment Analysis

We propose an extension to the basic DEA models that guarantees that if an intensity is positive then it must be at least as large as a pre-defined lower bound. This requirement adds an integer programming constraint known within Operations Research as a Fixed-Charge (FC) type of constraint. Accordingly, we term the new model DEA_FC. The proposed model lies between the DEA models that allow units to be scaled arbitrarily low, and the Free Disposal Hull model that allows no scaling. We analyze 18 datasets from the literature to demonstrate that sufficiently low intensities—those for which the scaled Decision-Making Unit (DMU) has inputs and outputs that lie below the minimum values observed—are pervasive, and that the new model ensures fairer comparisons without sacrificing the required discriminating power. We explain why the low-intensity phenomenon exists. In sharp contrast to standard DEA models we demonstrate via examples that an inefficient DMU may play a pivotal role in determining the technology. We also propose a goal programming model that determines how deviations from the lower bounds affect efficiency, which we term the trade-off between the deviation gap and the efficiency gap.     

The determinants of the location of foreign direct investment in UK regions†

This article employs a database of over 2000 observations of Foreign Direct Investment (FDI) projects in UK regions. We analyse this data by means of various multinomial and conditional logit models in order to identify the major determinants of the location choices of these inward investments. Having controlled for the various characteristics of inward investing firms, the projects and the regions, our results suggest that existing regional specialization is the single most important determining feature of where inward FDI locates. In addition, London is seen to benefit primarily by the immigration of new investments, the majority of which are related to service sector activities.     

The teacher as leader: The relationship between emotional intelligence and leadership effectiveness,commitment, and satisfaction

Emotional intelligence has emerged in the past decade as one of the crucial components of leadership effectiveness in many different contexts. The present study aimed at examining the relationships among emotional intelligence, leadership effectiveness, commitment, and satisfaction in education. Three hundred thirty‐two primary education teachers participated in the study conducted in Greece. Results, using structural equation modeling, showed that emotional intelligence, especially the intrapersonal and interpersonal dimensions, has a positive effect on leadership roles, explaining 51% of variance. A strong positive effect was also apparent on teachers' commitment and effectiveness, as measured by teachers' perception. Leadership roles such as performance evaluation, motivation support, and development improvement had a strong influence on effectiveness. The findings could have implications for the selection and training of future educators.     

Imbrications of institutional logics: the case of an e‐government initiative in Greece

This paper examines critically whether e‐government initiatives can be conceived of as representing a shift from a bureaucratic to a citizen‐centric institutional logic. We draw upon a longitudinal study of a Greek e‐government initiative that introduced one‐stop shops for the delivery of government services. Based on institutional theory, we provide a framework that illustrates the domains of institutional change that accompany e‐government projects and show how such institutional change can be understood as complex imbrications of contrasting institutional logics rather than one institutional logic displacing another. We argue that imbricated logics may have many unintended consequences which are not simply the outcome of either of the logics but are emergent from the imbrication.     

Changes in social welfare and sustainability: Theoretical issues and empirical evidence

We analyze the time derivative of a Ramsey-Koopmans social welfare function (R-K SWF), as an indicator of genuine investment and current change in social welfare (CSW) conditions, when feedback or arbitrary rules are used for selecting policy variables in non-optimizing economies. When policy variables are selected arbitrarily, their accounting prices should determine current CSW in addition to the accounting prices of the economy's assets and genuine investment should be adjusted accordingly. We use our theoretical framework to characterize CSW conditions for non-optimizing economies, based on direct estimation of accounting prices. We use our theoretical model to provide empirical evidence regarding the CSW conditions for the Greek economy.     

Capturing the meanings of sport licensed products

The current two-part study investigated the meanings embedded in sport licensed products and aimed to develop and test the psychometric properties of an instrument designed to capture those meanings. Data analysis resulted in the development of the five-factor 17-item Meanings of Sport Licensed Products (MSLP) scale that was found to be a reliable and valid instrument. It is suggested that sport licensed items present value through their aesthetic appeal and their contribution to sport consumers’ experience, socialization, personal history, and sense of locality. Regression analysis showed that the MSLP are a significant predictor of future behavior, specifically sport consumers’ willingness to recommend these products to others and their intention to buy them again in the future. Understanding how consumers choose certain products and why those products become important to them could lead to more effective strategies for the development, promotion, and sale of sport licensed items.     

Benchmarking Warehousing and Distribution Operations: An Input-Output Approach

We developan input-output model of a warehouse system to assess operationalefficiency. Our model simultaneously accounts for all of thecritical resources (labor, space, storage and handling equipment)and the different workload requirements (broken case, full caseand pallet picking, storage and order accumulation) of a warehouse.We collected extensive data on 57 warehouse and distributionfacilities from a variety of industries, including auto parts,dental and office supplies, electronics, fine papers, hardware,health care, industrial packaging, mail order apparel, officemachines, photographic supplies, and wholesale drugs, and usedthe model to assess and compare their efficiencies. We offer3 conclusions based on a statistical analysis of the operatingefficiencies obtained from several models: Smaller warehouses tend to be more efficient than larger warehouses.Warehouses using lower levels of automation tend to be moreefficient. This association is more pronounced in small firms.Unionization is not negatively associated with efficiencyand in fact may actually contribute to higher efficiency.     

The cost-effectiveness of dulaglutide versus liraglutide for the treatment of type 2 diabetes mellitus in Spain in patients with BMI ≥30 kg/m2

Objective: Dulaglutide 1.5?mg once weekly is a novel glucagon-like peptide 1 (GLP-1) receptor agonist, for the treatment of type two diabetes mellitus (T2DM). The objective was to estimate the cost-effectiveness of dulaglutide once weekly vs liraglutide 1.8?mg once daily for the treatment of T2DM in Spain in patients with a BMI ≥30?kg/m².

Methods: The IMS CORE Diabetes Model (CDM) was used to estimate costs and outcomes from the perspective of Spanish National Health System, capturing relevant direct medical costs over a lifetime time horizon. Comparative safety and efficacy data were derived from direct comparison of dulaglutide 1.5?mg vs liraglutide 1.8?mg from the AWARD-6 trial in patients with a body mass index (BMI) ≥30?kg/m². All patients were assumed to remain on treatment for 2 years before switching treatment to basal insulin at a daily dose of 40?IU. One-way sensitivity analyses (OWSA) and probabilistic sensitivity analyses (PSA) were conducted to explore the sensitivity of the model to plausible variations in key parameters and uncertainty of model inputs.

Results: Under base case assumptions, dulaglutide 1.5?mg was less costly and more effective vs liraglutide 1.8?mg (total lifetime costs €108,489 vs €109,653; total QALYS 10.281 vs 10.259). OWSA demonstrated that dulaglutide 1.5?mg remained dominant given plausible variations in key input parameters. Results of the PSA were consistent with base case results.

Limitations: Primary limitations of the analysis are common to other cost-effectiveness analyses of chronic diseases like T2DM and include the extrapolation of short-term clinical data to the lifetime time horizon and uncertainty around optimum treatment durations.

Conclusion: The model found that dulaglutide 1.5?mg was more effective and less costly than liraglutide 1.8?mg for the treatment of T2DM in Spain. Findings were robust to plausible variations in inputs. Based on these results, dulaglutide may result in cost savings to the Spanish National Health System.     

The ecosystem as helix: an exploratory theory-building study of regional co-opetitive entrepreneurial ecosystems as Quadruple/Quintuple Helix Innovation Models

Regions are increasingly being viewed as eco-systemic agglomerations of organizational and institutional entities or stakeholders with socio-technical, socio-economic, and socio-political conflicting as well as converging (co-opetitive) goals, priorities, expectations, and behaviors that they pursue via entrepreneurial development, exploration, exploitation, and deployment actions, reactions and interactions. In this context, our paper aims to explore and profile the nature and dynamics of the Quadruple/Quintuple Helix Innovation System Model or Framework (government, university, industry, civil society, environment) as an enabler and enactor of regional co-opetitive entrepreneurial ecosystems which we conceptualize as fractal, multi-level, multi-modal, multi-nodal, and multi-lateral configurations of dynamic tangible and intangible assets within the resource-based view and the new theory of the growth of the firm. Co-opetitive fractal innovation and entrepreneurship ecosystems are defined and discussed, and examples of regional innovation policies and programs are presented. Furthermore, the concept of multi-level innovation systems is analyzed, taking into account the existence of knowledge clusters and innovation networks, while alternative aggregations of multi-level innovation systems are proposed based on their spatial (geographical) and non-spatial (research-based) functional properties.     

‘We can only request what's in our protocol’: technology and work autonomy in healthcare

This article explores the tension between standardization and autonomy raised by the implementation of new technology in healthcare organizations. The theoretical frame of this study is grounded in the impact of new technologies on work organization, routinization and autonomy across settings. Empirically it presents evidence from two NHS Trusts in England that implemented a national Electronic Patient Record (EPR). The paper aims to reinvigorate the debate on the tension between standardization and autonomy in professional workplaces such as healthcare. It argues that the implication of technology in professional work conditions processes of task routinization that constrain autonomy, and enables reallocation of discretion between professional groups. We argue that routinization is not restricted to low‐skill work but may travel across contexts and be evidenced in high‐skill work environments. The interplay between routinization and autonomy is also useful in drawing insights concerning the dynamics of change that occur in professional work.