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This paper aims to review Program and Project evaluation Models. The assessment of the Evaluation Model (metaevaluation) is a critical step in Evaluation, as it is at the basis of a successful Program/Project evaluation. A wide and effective review of EMs is a basic, as well as fundamental, support in meta-evaluation that affects positively the overall evaluation efficacy and efficiency. Despite a large number of reviews of EMs and a numerous population of EMs, developed in heterogeneous projects and programs settings, the literature lacks comprehensive collections and reviews of EMs that this paper addresses to provide a basis for the assessment of EMs.

Through a systematic literature review carried out via the Internet, and querying search engines, several models addressing program or project evaluation have been identified and analyzed. Following a process of normalization of the results gathered, they have been analyzed and compared according to key descriptive issues. They have been, at the end, summarized and rationalized in a comprehensive frame.

In recent years, evaluation studies have focused on the explanation of the mechanisms that underlie the transformation of projects’ and programs’ outputs into socio-economic effects, arguing that making them explicit allows to understand why a project or program is successful, as well as evaluating its extent. To assess and explain program’s and project’s effects, a basic, although fundamental, role in evaluation is played by the EM. A wide and heterogeneous set of 57 EMs has been identified, defined and framed in typologies, according to a systematic review research.

The approach to the review of EMs and the definition of a boundary of interest for management and economic researchers and practitioners represent an original issue of this paper.

This paper discusses the findings of a mixed-methods study of early childhood instructional coaches employed in state-funded preschool (aged three and four years) programs in the state of New Jersey (NJ) in the United States (US), highlighting a case study of one coach that provides an example of individual and organizational factors influencing the work.

An online survey was distributed to all coaches (master teachers) in 35 districts' early childhood programs. Two master teachers were then studied for a period of five months. During that time, three structured interviews were conducted, focused observations occurred each month, and coach logs were collected.

The findings of the data analyses illuminated both individual (i.e., a coach's own professional development) and organizational (i.e., varying interpretations of role) factors that influenced the work of the early childhood coaches.

The data in this paper is limited to one US state's approach to early childhood coaching. The case study data examined is limited to the contexts of the specific participating districts and master teachers involved. It is suggested that future research be conducted on a nationwide pool of instructional coaches.

The findings of this study highlight the role of the state in providing more guidance surrounding the primary responsibilities of the master teacher. It is suggested that further attention be placed on creating and sustaining a professional development network for the master teachers serving NJ's early childhood programs.

As one of the few statewide studies of instructional coaching in early childhood, this study provides insights into how policy is translated into practice.

This study aims to examine the consequences of the last great recession on the child protection system (CPS) in Spain, to estimate whether there is any kind of relationship between the conditions of socio-economic crisis and its protective activity.

Data on child protection legal measures issued by the CPS and socio-economic data from 8 of the 17 regions of the country were cross-checked. Using the chi-square test, it was possible to determine the significance and intensity of the relationship between the different variables in each of the regions of the study.

During the crisis, the number of recorded cases fell most sharply in those regions with the worst socio-economic indicators. The study shows that there is a significant relationship between the socio-economic conditions of the regions and families and the activity of the CPS in each of them, so that the worsening of the former reduces the protective activity of their protection system.

The results ask about the influence of the socioeconomic situation in the decision-making of the CPS in Spain and the need to deepen in its study.

To the best of the author’s knowledge, this is the first longitudinal study on the effects of the economic crisis on CPS activity in Spain.

Consumer interest and willingness to pay (WTP) for omega-3 enriched water buffalo mozzarella cheese are evaluated through an in-store experimental auction. The purpose of this paper is to estimate individual WTP for enriched mozzarella cheese and related it to self-efficacy beliefs and outcome expectations of omega-3 consumption, following regulatory focus theory.

Data were collected in May-June 2015 from a sample of 150 consumers in Southern Italy. A structural equation modelling procedure was implemented.

The results show a significant role is played by prevention outcome expectations on consumer behaviour. While promotion outcome expectation constructs proved non-significant, self-identity correlates with prevention outcome expectations.

There are several limitations that the authors are aware of regarding this study. First of all, since the authors rely on self-reported measures, optimistic bias might have affected participants’ responses (Weinstein, 1980). Second, results may be influenced by the choice of the specific information provided to consumers for the analysis; different claims and different information framings should be tested (LeBoeuf and Shafir, 2003).

Implications stemming from the results encourage the promotion of omega-3 enriched mozzarella cheese based on stimulating outcome expectations, bearing in mind that individual motivations should be enhanced by self-identity beliefs.

Although the combined role of self-efficacy and outcome expectations on personal intention to adopt healthy behaviour has already been demonstrated (Keller, 2006; Tudoran et al., 2012), to the best of the knowledge no previous study relates individual behaviour to an intention measured as a WTP for an actual product. In addition, current study has applied a non-hypothetical BDM (from Becker et al., 1964) auction in-store experiment.

Knowledge management (KM) is increasingly becoming critical to public sector organizations as it is to private sector organizations. This is because public sector organizations are increasingly held accountable for their actions and are forced to move away from traditional bureaucratic approaches to more managerial ones. For instance, public sector is facing pressure to improve its operational efficiency such as productivity, lead time and expenditure. Similarly, it is also facing pressure to improve its transparency, trust, reliability and accountability, which are key elements of sustainable development (SD). The purpose of this study therefore is to understand the intricate relationship between KM processes, operational efficiency and SD in the public sector.

A framework consisting of eight constructs (knowledge acquisition, knowledge creation, knowledge capture, knowledge storage and retrieval, knowledge sharing, knowledge utilization, operational efficiency and SD) and their underlying items was developed through an extensive literature review. Using 383 usable responses collected through a structured questionnaire from the UAE public sector, the constructs and framework were first validated and then the current level of implementation/achievement of KM processes, operational efficiency and SD was assessed along with the hypothesized relationships between the constructs.

The findings show that KM processes had a positive and significant direct impact on operational efficiency and SD. Also, operational efficiency was found to strongly mediate the relationship between KM processes and SD.

The findings are expected to help UAE public sector organizations devise strategies and policy interventions to align and improve their KM processes for achieving operational efficiency and SD. Public sectors looking to focus on SD must focus on KM processes and strive to improve stakeholder engagement, which is a vital aspect of SD.

Integration of KM processes, operational efficiency and SD has not been attempted previously and hence constitutes the novelty of this work.

Firm size is an important contingency variable in macro-organizational studies. Several questions arise in relation to knowledge management and organizational size that is critical to both public and private organizations. Unfortunately, despite its significance, all or most of the studies that examined the effects of organizational size’ on knowledge management have been in the private sector. This paper aims to empirically study the effects of organizational size on the key knowledge management processes and subsequent operational efficiency derived from its implementation in the public sector.

A structured country-wide survey of United Arab Emirates public sector organizations was conducted. The 383 completed responses obtained were then analysed to assess the hypothesized differences in the implementation of knowledge management processes (knowledge acquisition, knowledge creation, knowledge capture, knowledge storage and retrieval, knowledge sharing, knowledge utilization) and its impact on the operational efficiency across small and medium, large and very large public sector organizations.

The results revealed that the extent of implementation of all six knowledge management processes and operational efficiency followed an inverted “V” pattern, in which, both knowledge management processes and operational efficiency was found to increase while transitioning from small and medium entities to large entities, but was found to decrease while transitioning from large to very large entities. In terms of relationships, while all knowledge management processes had a significant positive impact on the operational efficiency of the public sector, the ability to derive operational efficiency from knowledge management processes was found to be the highest for very large public sector organizations.

The novel findings are useful for practitioners and policymakers, especially those overseeing a country’s knowledge management initiatives to devise strategies, policies and support mechanisms to ensure public sector organizations, regardless of their size, can implement efficient and effective knowledge management processes to improve their operational efficiency.

The study is arguably the first comprehensive attempt to understand the impact of organizational size on knowledge management in the public sector.

The transition of people to the ordinary market after completing the due process of a work integration social enterprise is a critical moment that exposes their vulnerability. This paper aims to present the results of an intervention programme designed to support job search efforts and identify the main factors that contribute to this transition.

This study used a mixed-methods approach. Quantitative data on the programme results were collected through administrative documentation and the Employability Factors Scale. Qualitative data were gathered using focus groups and questionnaires to understand participants’ perspectives.

The levels of employment achieved, improvement in employability and participants’ assessment provided evidence of the programme’s effectiveness. Likewise, having an individual’s support, systematisation of the program and intermediation with ordinary companies were the factors that most influenced the programme results. Therefore, this study confirms the need for personal, systematic, personalised and sustained support over time to facilitate the transition from work integrated social enterprises to ordinary markets.

There are few studies on transitioning from work integration social enterprises to ordinary companies. This study offers a unique view of implementing an employment support programme and its impact on people.

Despite HIV being reported as one of the major global health issues, availability and accessibility of HIV services and supplies remain limited, especially in low- and middle-income countries. The effective and efficient operation of HIV supply chains is critical to tackle this problem. The purpose of this paper is to give an introduction to HIV supply chains in low- and middle-income countries and identify research opportunities for the operations research/operations management (OR/OM) community.

First, the authors review a combination of the scientific and grey literature, including both qualitative and quantitative papers, to give an overview of HIV supply chain operations in low- and middle-income countries and the challenges that are faced by organizing such supply chains. The authors then classify and discuss the relevant OR/OM literature based on seven classification criteria: decision level, methodology, type of HIV service modeled, challenges, performance measures, real-life applicability and countries covered. Because research on HIV supply chains in low- and middle-income countries is limited in the OR/OM field, this part also includes papers focusing on HIV supply chain modeling in high-income countries.

The authors conclude this study by identifying several tendencies and gaps and by proposing future research directions for OR/OM research.

To the best of the authors’ knowledge, this paper is the first literature review addressing this specific topic from an OR/OM perspective.

A stochastic technique for solving interval non-linear problems using generalized Hukuhara (GH)-difference is proposed. The non-linear programming problem in interval form is transformed into an equivalent non-linear programming problem with real coefficients by associating a Gaussian random variable to the interval and the six-sigma rule. The conceptualized idea eliminates the decision maker’s instinctive selection of weight functions and provides an alternative to the order relation method, max-min criteria-based methods and bi-level approaches for representing intervals as real numbers. To demonstrate a coherent understanding, numerical examples have been used.

A stochastic approach has been used to develop a solution technique for solving interval nonlinear programming problems which arise in the modeling of scientific and engineering problems under uncertain environments.

The proposed idea eliminates the decision maker’s instinctive selection of weight functions and provides an alternative to the order relation method, max-min criteria-based methods and bi-level approaches for representing intervals as real numbers. This method provides specific results rather than in the interval form, which are more practical and implementable by the decision maker.

This is to certify, that the research paper submitted is an outcome of original work. I have duly acknowledged all the sources from which the ideas and extracts have been taken. This article has not been submitted elsewhere for publication.

Environmental issues have become an important concern in modern supply chain management. The structure of closed-loop supply chain (CLSC) networks, which considers both forward and reverse logistics, can greatly improve the utilization of materials and enhance the performance of the supply chain in coping with environmental impacts and cost control.

A biobjective mixed-integer programming model is developed to achieve the balance between environmental impact control and operational cost reduction. Various factors regarding the capacity level and the environmental level of facilities are incorporated in this study. The scenario-based method and the Epsilon method are employed to solve the stochastic programming model under uncertain demand.

The proposed stochastic mixed-integer programming (MIP) model is an effective way of formulating and solving the CLSC network design problem. The reliability and precision of the Epsilon method are verified based on the numerical experiments. Conversion efficiency calculation can achieve the trade-off between cost control and CO₂ emissions. Managers should pay more attention to activities about facility operation. These nodes might be the main factors of costs and environmental impacts in the CLSC network. Both costs and CO₂ emissions are influenced by return rate especially costs. Managers should be discreet in coping with cost control for CO₂ emissions barely affected by return rate. It is advisable to convert the double target into a single target by the idea of “Efficiency of CO₂ Emissions Control Reduction.” It can provide managers with a way to double-target conversion.

We proposed a biobjective optimization problem in the CLSC network considering environmental impact control and operational cost reduction. The scenario-based method and the Epsilon method are employed to solve the mixed-integer programming model under uncertain demand.