Systematic Literature Review Protocol Research Articles

A systematic review of e-tail product returns and an agenda for future research

PurposeThis study conducts a systematic literature review of e-tail product returns research. E-tail product returns are essentially acquisition of products that have been sold through purely online or brick-and-click channels and then returned by consumer to business.Design/methodology/approachUsing a systematic literature review protocol, we identified 75 peer-reviewed articles on e-tail product returns, conducted bibliometric analysis and content analysis of the articles and summarised our findings.FindingsThe findings reveal that the subject of e-tail returns is a new research area; academics have started to investigate several aspects of e-tail returns through different research methodologies and theoretical foundations. Further research is required in leading e-commerce countries and on key areas such as omni-channel returns management, customer satisfaction and service, the impact of resources such as people skills, the benefits of technology and IT systems in managing e-tail returns.Practical implicationsThe study offers a summative account of current e-tail knowledge areas, which can serve as a reference guide for e-tailers to develop strategies for more efficient and competitive product returns.Originality/valueThis study contributes theoretically by developing clusters of key themes or knowledge areas about e-tail returns. It also provides a conceptual framework for e-tail returns management, which can be used as a springboard for further empirical research.

Process improvement project failure: a systematic literature review and future research agenda

PurposeAlthough scholars have considered the success factors of process improvement (PI) projects, limited research has considered the factors that influence failure. The purpose of this paper is to extend the understanding of PI project failure by systematically reviewing the research on generic project failure, and developing research propositions and future research directions specifically for PI projects.Design/methodology/approachA systematic literature review protocol resulted in a total of 97 research papers that are reviewed for contributions on project failure.FindingsAn inductive category formation process resulted in three categories of findings. The first category are the causes for project failure, the second category is about relatedness between failure factors and the third category is on failure mitigation strategies. For each category, propositions for future research on PI projects specifically are developed. Additional future research directions proposed lay in better understanding PI project failure as it unfolds (i.e. process studies vs cross-sectional), understanding PI project failure from a theoretical perspective and better understanding of PI project failure antecedents.Originality/valueThis paper takes a multi-disciplinary and project type approach, synthesizes the existing knowledge and reflects upon the developments in the field of research. Propositions and a framework for future research on PI project failure are presented.

Knowledge management in family firms: a systematic review, integrated insights and future research opportunities

PurposeThe literature related to knowledge management (KM) is robust with respect to insights regarding firms in general. However, less is known about the KM of family firms despite these firms being the most common form of business organization worldwide. Further, even though the number of studies examining family-firm KM has increased in recent years, the insights gained remain fragmented. Therefore, the purpose of this study is to help coalesce and advance the study of family-firm KM.Design/methodology/approachIn pursuit of these goals, a systematic literature review was conducted. Using a 6-step, systematic literature review protocol, 74 articles focused on family-firm KM published in 23 journals were identified and reviewed.FindingsThis literature review contributes to the synthesis and advancement of family-firm KM scholarship in several ways. First, key factors and relationships are identified and integrated into a robust framework. Second, scholarly insights are synthesized, and a review of the primary antecedents, outcomes and moderating factors associated with family-firm KM processes is presented. Third, promising opportunities for future research are highlighted to advance family-firm KM scholarship.Originality/valueWith a focus on reducing the fragmentation in the literature, this review synthesizes insights related to the most commonly studied antecedents, outcomes and moderators associated with family-firm KM. Additionally, antecedents are organized and reviewed according to the nature of their influence on family-firm KM processes, highlighting the simultaneous opposite effects of some influences. Further, key outcomes are synthesized based on their family versus firm-centric orientation. Even further, insights and opportunities focused on advancing the theory, antecedents, outcomes, moderators and other issues related to family-firm KM are presented in an effort to support the continued progress of scholarship in this area.

Behavioural economics in fisheries: A systematic review protocol.

BackgroundThe field of behavioural economics holds several opportunities for integrated fisheries management and conservation and can help researchers and managers alike understand fisher behaviour and decision-making. As the study of the cognitive biases that influence decision-making processes, behavioural economics differentiates itself from the classical field of economics in that it does not assume strictly rational behaviour of its agents, but rather looks for all mechanisms that influence behaviour. This field offers potential applications for fisheries management, for example in relation to behavioural change, but such applications require evidence of these mechanisms applied in a fisheries context. Thus, we have developed a systematic literature review protocol focusing on the primary question: “Which behavioural economics mechanisms influence fisher behaviour?” The aim is to provide a comprehensive overview of these different mechanisms and how they have been applied in the study of fisher behaviour.Methods and expected outputsThe review protocol was developed in close collaboration with the International Council for the Exploration of the Sea (ICES) Working Group on Maritime Systems (WGMARS). WGMARS members were therefore considered the key stakeholders for this study, and were consulted to develop a suitable systematic review question and methodology. Three academic databases will be searched using a customized Boolean keyword search string. Research articles deemed eligible for inclusion in the systematic review are those that studied the influence of behavioural-economics mechanisms on the behaviour of marine fishers in any location, and at any scale. Insights from this literature will be collated in order to provide an overview of the relevant behavioural-economics mechanisms and actions, how effective these mechanisms are and at what scale, geographic region and in which fisheries sector they have been applied. Any fisheries management implications identified by the studies under review will also be outlined. Finally, it will be recorded whether or not ethical considerations were made in the reviewed literature, so that in the discussion it will be possible to reflect on the ethics of conducting behavioural-economics research and policy actions in a fisheries context.

A Survey on the Application of Enterprise Architecture in Healthcare Systems

Enterprise architecture (EA) has been present in scientific literature since the 1980s and has branched out into several research fields. EA delivers value by presenting business and information technology leaders with recommendations for adjusting policies to achieve business goals. Although there are many works on the EA application in healthcare systems, the literature lacks studies that provide a systematic approach to this topic. This work presents a broad systematic literature review (SLR) to select studies demonstrating current EA practices in healthcare systems. The researchers established an SLR protocol returning 280 primary studies after the first step of the data selection and a consolidated inclusion of 46 articles after the second step. They assessed the level of disagreement during the team's evaluations using Cohen's Kappa. This SLR revealed essential aspects of state-of-the-art EA application in healthcare systems, such as the challenges, positive impacts, and critical success factors described by the studies' authors based on empirical approaches.

Feature selection methods for text classification: a systematic literature review

Feature Selection (FS) methods alleviate key problems in classification procedures as they are used to improve classification accuracy, reduce data dimensionality, and remove irrelevant data. FS methods have received a great deal of attention from the text classification community. However, only a few literature surveys include them focusing on text classification, and the ones available are either a superficial analysis or present a very small set of work in the subject. For this reason, we conducted a Systematic Literature Review (SLR) that asses 1376 unique papers from journals and conferences published in the past eight years (2013–2020). After abstract screening and full-text eligibility analysis, 175 studies were included in our SLR. Our contribution is twofold. We have considered several aspects of each proposed method and mapped them into a new categorization schema. Additionally, we mapped the main characteristics of the experiments, identifying which datasets, languages, machine learning algorithms, and validation methods have been used to evaluate new and existing techniques. By following the SLR protocol, we allow the replication of our revision process and minimize the chances of bias while classifying the included studies. By mapping issues and experiment settings, our SLR helps researchers to develop and position new studies with respect to the existing literature.

Multimodal Interaction Systems Based on Internet of Things and Augmented Reality: A Systematic Literature Review

Technology developments have expanded the diversity of interaction modalities that can be used by an agent (either a human or machine) to interact with a computer system. This expansion has created the need for more natural and user-friendly interfaces in order to achieve effective user experience and usability. More than one modality can be provided to an agent for interaction with a system to accomplish this goal, which is referred to as a multimodal interaction (MI) system. The Internet of Things (IoT) and augmented reality (AR) are popular technologies that allow interaction systems to combine the real-world context of the agent and immersive AR content. However, although MI systems have been extensively studied, there are only several studies that reviewed MI systems that used IoT and AR. Therefore, this paper presents an in-depth review of studies that proposed various MI systems utilizing IoT and AR. A total of 23 studies were identified and analyzed through a rigorous systematic literature review protocol. The results of our analysis of MI system architectures, the relationship between system components, input/output interaction modalities, and open research challenges are presented and discussed to summarize the findings and identify future research and development avenues for researchers and MI developers.

Blockchain Disruption on Management Accountant's Role: Systematic Literature Review

Blockchain considered as an emerging technology that potentially disrupts how management accountant work and his role. This research intends to understand what Blockchain’s capabilities will disrupt the profession by conducting a systematic literature review (SLR). A protocol of SLR is inspired by Kitchenham, Van Akthley, and Okoli in their works. The protocol consists of identifying purpose and outcome research, definition research question, preparing search and review protocol, title and abstract screening, paper quality assessment, data extraction, and data analysis. MAXQDA was used to conduct the SLR protocol. Seven academic journal databases were used in the searching stage. Kitchenham’s guidelines inspire data extraction and narrative synthesis. This study finds that Blockchain enables the user to do real-time accounting, gather data for supervising and monitoring function, and streamline the accounting practice process. With these findings, the management accountant can prepare to blockchain disruption by upgrading his analytics and computation skills.

Driving factors of sustainable production in upland watersheds: systematic literature review

Sustainable production in upland watersheds is a formidable challenge for farmers. The trade-off laid between economic benefits (productivity) and sustainability. Farmers’ resilience in the upstream watershed needs to meet sustainable agricultural production. This paper was conducted to review the local driving factors which are supporting economic resilience and climate change mitigation to sustainable production in upland watersheds. Systematic Literature Review (SLR) design as preliminary exposure toward the key variables and driving question. The framework of a systematic literature review refers to the conservation and environmental management that is built with PRISMA protocol. SLR protocol starts from planning review, citation screening, data extraction, and analysis. The review addressed terms of current developments and plans for the participatory in sustainable watersheds management. This review article performed the basic steps of SLR and meta-analysis studies on environmental science and agricultural and biological science fields. The SLR protocol starts from planning review, citation screening, data extraction, review progress, the analysis result. The keywords addressed to current study in sustainable production in upland watersheds. This review has highlighted that agroforestry as a primary driving factor in directing the sustainable production in upland. Agroforestry within coffee farming could set as sustainable production system in upstream watersheds.

Analyzing and Evaluating Critical Challenges and Practices for Software Vendor Organizations to Secure Big Data on Cloud Computing: An AHP-Based Systematic Approach

Recently, its becomes easy to track down the data due to its availability in a large number. Although for data management, processing, and obtainability, cloud computing is considered a well-known approach for organizational development on the internet. Despite many advantages, cloud computing has still numerous security challenges that can affect the big-data usage on cloud computing. To find the security issues/challenges that are faced by software vendors’ organizations we conducted a systematic literature review (SLR) through which we have find out 103 relevant research publications by developing a search string that is inspired by the research questions. This relevant data was comprised from different databases e.g. Google Scholar, IEEE Explore, ScienceDirect, ACM Digital Library, and SpringerLink. Furthermore, for the detailed literature review, we have accomplished all the steps in SLR, for example, development of SLR protocol, Initials and final assortment of the relevant data, data extraction, data quality assessment, and data synthesis. We identified fifteen (15) critical security challenges which are: data secrecy, geographical data location, unauthorized data access, lack of control, lack of data management, network-level issues, data integrity, data recovery, lack of trust, data sharing, data availability, asset issues, legal amenabilities, lack of quality, and lack of consistency. Furthermore, sixty four (64) standard practices are identified for these critical security challenges using the proposed SLR that could help vendor organizations to overcome the security challenges for big data. The findings of our research study demonstrate the resemblances and divergences in the identified security challenges in different periods, continents, databases, and methods. The proposed SLR will also support software vendor organizations for securing big data on the cloud computing platforms. This paper has the following content: in <xref ref-type="sec" rid="sec2" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Section II</xref> , we have describe the Literature review; in <xref ref-type="sec" rid="sec3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Section III</xref> , research methodology is specified; in <xref ref-type="sec" rid="sec4" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Section IV</xref> , the findings of the SLR and the analysis of result are discussed; in <xref ref-type="sec" rid="sec5" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Section V</xref> , the limitations of this research are given; in <xref ref-type="sec" rid="sec6" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Section VI</xref> , we discussed our conclusions and future work.

A systematic review on life cycle assessment of different waste to energy valorization technologies

Selection and implementation of effective and efficient waste management strategies have been widely considered as a matter of concern for sustainable development. Life cycle assessment (LCA) is the most common approach to evaluate the environmental impacts of different waste management strategies. This paper presents a systematic review of scientific LCA studies assessing environmental impacts of waste to energy (WtE) technologies. A systematic literature review protocol was followed to characterise and critically evaluate the published literature on the environmental dimensions of LCA studies for WtE from 1981 to 2019 in terms of software, databases, life cycle impact assessment methods, environmental impacts and source of uncertainty. The major research observations were summarised accordingly, and important insights were obtained in the current review. The results showed that the treatment of specific waste material with various WtE technologies can affect different environmental impact categories in a contradictory way. For instance, anaerobic digestion can minimise environmental consequences dealing with organic wastes in the majority of impact categories but not in ecotoxicity and human toxicity impact categories. There was a general agreement in the results about the preference of incineration over landfilling for MSW treatment. Moreover, the results of sensitivity analysis showed that assumptions in substitution of WtE products are the primary source of uncertainty. Overall, the results of LCA studies confirm the application of WtE technologies in an integrated waste management strategy. In addition, the discussion in the article provides insights on technologies suitable for each waste material.

Policy Evaluation Network (PEN): Protocol for systematic literature review examining the evidence for impact of policies across seven different policy domains

Introduction: Over 40 million deaths annually are due to noncommunicable diseases, 15 million of these are premature deaths and physical inactivity contributes an estimated 9% to this figure. Global responses have included the Sustainable Development Goals (SDGs) and the Global Action Plan on Physical Activity (GAPPA). Both point to policy action on physical activity (PA) to address change, yet the impact of policy on PA outcomes is unknown. The protocol described outlines the methodology for systematic literature reviews that will be undertaken by the Policy Evaluation Network (PEN) to address this knowledge gap. Methods: The seven best investments for promotion of population PA identified in the Toronto Charter highlighted seven policy domains (schools, transport, urban design, primary health care systems, public education, community-wide programmes and sport) which will form the basis of these PEN reviews. Seven individual scientific literature searches across six electronic databases will be conducted. Each will use the key concepts of policy, PA, evaluation and a distinct concept for each of the seven policy domains. This will be supplemented with a search of the reference list of included articles. Methodological quality will be assessed and overall effectiveness for each included study will be described according to pre-determined criteria. Conclusions: Each review will provide policy makers with a list of policy statements and corresponding actions which the evidence has determined impact on PA directly or indirectly. By collating the evidence, and demonstrating the depth of the science base which informs these policy recommendations, each review will provide guidance to policymakers to use evidence-based or evidence-informed policies to achieve the 15% relative reduction in physical inactivity as defined by GAPPA. Registration: PROSPERO CRD42020156630 (10/07/2020).

Indirect Costs of Oral Versus Non-Oral Therapies in Hematologic Malignancies: A Systematic Literature Review

Introduction: The treatment landscape for hematologic malignancies is evolving rapidly, and a range of therapeutic options with differing routes of administration is now available. The shifting dynamics of these novel therapies and increasing total treatment costs highlight the importance of value-based healthcare decisions that take patient, payer, and societal perspectives into account. It is therefore increasingly important to consider both direct and indirect costs when evaluating therapeutic options. Reducing healthcare visits for administration of non-oral therapies (injectable and/or mixed therapies) results in indirect cost savings and is of particular relevance during the current coronavirus disease (COVID-19) pandemic where there are distinct challenges with respect to visiting hospital settings. However, the indirect cost savings of utilizing oral versus non-oral treatments have yet to be fully assessed from a patient and societal perspective. The objective of this review was to assess the differences in indirect non-treatment-related costs between oral and non-oral therapies for hematologic malignancies. Methods: A systematic literature review (SLR) was conducted by searching the Embase®, MEDLINE®, EconLit, and Health Technology Assessment/National Health Service economic evaluation (HTA/NHS EED) databases from inception to June 2020. Additionally, literature searches of proceedings from the 2018-2020 American Society of Clinical Oncology (ASCO), American Society of Hematology (ASH), and The Professional Society for Health Economics and Outcomes Research (ISPOR) conferences were performed to capture recent studies not indexed in the main databases. A manual search of the reference list from all included study publications was also performed. Eligibility criteria for study identification were developed using the Population, Intervention, Comparator, and Outcome (PICO) framework. Eligible studies included cost models and observational studies reporting indirect costs from a patient and/or societal perspective for oral versus non-oral therapies. Results: A total of 4,012 records were identified by the searches. Following title/abstract screening, the full text of 25 publications was reviewed, and 5 studies conducted in the USA (n = 3), Italy (n = 1), and Finland (n = 1) were identified as eligible and selected for qualitative evidence synthesis (Table). Although the SLR protocol included all hematologic malignancies, only studies including patients with multiple myeloma (MM) were identified. The indirect costs reported across the selected studies varied and included costs such as loss of productivity, transportation, and patient and/or caregiver time. Among all 5 studies, total indirect costs for patients with MM were lower for oral versus non-oral regimens. In the USA-based studies, indirect costs were USD 70-1,202 per month for oral regimens versus USD 432-1,526 per month for non-oral regimens. In Europe-based studies, indirect cost estimates were EUR 1,800 versus EUR 17,000 per year for oral versus non-oral regimens (Italian study), and EUR 114 versus EUR 358 per 28-day cycle for oral versus non-oral regimens (Finnish study; averages calculated from ranges in Table). Conclusions: This SLR demonstrates a paucity of data on the indirect costs to patients and society of oral versus non-oral therapies for hematologic malignancies. The studies included in this review assessed differing types of indirect costs, including loss of productivity, transportation costs, and patient and/or caregiver time; however, all indicated that the administration of oral regimens is associated with lower indirect costs compared with non-oral regimens. This finding is compelling given the current global health crisis due to COVID-19, where prioritizing the concept of "value" means assessing more complex issues, such as indirect costs that may have a meaningful impact on patients and society. Disclosures Fazeli: Evidinno Outcomes Research Inc.: Current Employment. Pushkarna:Evidinno Outcomes Research Inc.: Current Employment. Howarth:Evidinno Outcomes Research Inc.: Current Employment. Hux:Evidinno Outcomes Research Inc.: Consultancy. Pourrahmat:Evidinno Outcomes Research Inc.: Current Employment. Chen:Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company.

Clinical communication in inflammatory bowel disease: a systematic literature review protocol

IntroductionEvidence regarding effective communication between clinicians and patients with inflammatory bowel disease (IBD) is limited. Studies that investigate clinical communication in IBD are much fewer in number than studies that...

Machine learning applied to road safety modeling: A systematic literature review

Road safety modeling is a valuable strategy for promoting safe mobility, enabling the development of crash prediction models (CPM) and the investigation of factors contributing to crash occurrence. This modeling has traditionally used statistical techniques despite acknowledging the limitations of this kind of approach (specific assumptions and prior definition of the link functions), which provides an opportunity to explore alternatives such as the use of machine learning (ML) techniques. This study reviews papers that used ML techniques for the development of CPM. A systematic literature review protocol was conducted, that resulted in the analysis of papers and their systematization. Three types of models were identified: crash frequency, crash classification by severity, and crash frequency and severity. The first is a regression problem, the second, a classificatory one and the third can be approached either as a combination of the preceding two or as a regression model for the expected number of crashes by severity levels. The main groups of techniques used for these purposes are nearest neighbor classification, decision trees, evolutionary algorithms, support-vector machine, and artificial neural networks. The last one is used in many kinds of approaches given the ability to deal with both regression and classification problems, and also multivariate response models. This paper also presents the main performance metrics used to evaluate the models and compares the results, showing the clear superiority of the ML-based models over the statistical ones. In addition, it identifies the main explanatory variables used in the models, which shows the predominance of road-environmental aspects as the most important factors contributing to crash occurrence. The review fulfilled its objective, identifying the various approaches and the main research characteristics, limitations, and opportunities, and also highlighting the potential of the usage of ML in crash analyses.

Policy Evaluation Network (PEN): Protocol for systematic literature review examining the evidence for impact of school policies on physical activity

Introduction: Over 40 million deaths annually are due to noncommunicable diseases, 15 million of these are premature deaths and physical inactivity attributes an estimated 9% to this figure. Global responses have included the sustainable development goals and the global action plan on physical activity. Both point to policy action in physical activity (PA) to address change, yet the impact of policy is unknown. The protocol described outlines a systematic literature review that will be undertaken by the Policy Evaluation Network to address this knowledge gap. Protocol: This review of school PA policies is the first of seven planned reviews. The seven best investments for promotion of population PA identified in the Toronto Charter (whole-of-school programmes, transport policy, urban design policy, primary health care policy, public education policy, community programmes and sport programmes) will form the basis of these reviews. Seven individual scientific literature searches across six electronic databases, using key concepts of policy, PA, evaluation and a distinct concept for each area will be conducted. This will be supplemented with a search of the reference list of included articles. Methodological quality will be assessed and overall effectiveness for each included study will be described according to pre-determined categories. Conclusions: The review will provide policy makers with a list of policy statements and corresponding actions which the evidence has determined impact on PA directly or indirectly. By collating the evidence, and demonstrating the depth of the science base which informs these policy recommendations, this review will provide guidance to policymakers to use evidence-based or evidence-informed policies to achieve the 15% relative reduction in physical inactivity as defined by the ‘Global Action Plan on Physical Activity’. Registration: PROSPERO CRD42020156630 (10/07/2020).

System dynamics applications in performance measurement research: progress and challenges

PurposeA systematic literature review (SLR) was used to identify and analyze literature related to use of system dynamics (SD) applications in organizational performance measurement (PM) research. The purpose of this article is to present the results of a thematic analysis (TA) conducted to synthesize existing empirical evidence, investigate trends and evaluate developments in the research area.Design/methodology/approachA SLR was conducted resulting in a dataset of 97 articles in this research area. Using TA, major themes/subthemes were inductively synthesized to explore the current development and emerging trends and provide guidance for future research.FindingsThe TA resulted in seven themes in the research area – Enhancing knowledge, Approaches to operationalizing PM systems, Utilizing simulation models, Improving organizational outcomes, Achieving strategic alignment, Applying systems thinking and Identifying critical variables. The analysis suggests that although SD has the potential to improve PM systems, there are many limitations and challenges that must be addressed to improve implementation and practical applications. In addition, the results showed that much of the work is exploratory and many fail to fully validate their models suggesting that this research is still in an relatively early phase of development.Research limitations/implicationsThe results of this study are limited to the 97 articles identified using the SLR protocol. Although the search was designed to be comprehensive, there may be other relevant literature that was excluded. Further, the TA was limited to addressing the research questions.Practical implicationsA key insight for managers is that these tools would support decision-makers in understanding performance behaviors and identifying performance drivers for improvement. This suggests that stakeholders can adopt the approach to improve understanding and effectiveness of PM, and to enhance strategic decision-making.Originality/valueThis study provides a distinct and thorough analysis of this research area by conducting an inductive synthesis of developments and challenges and guidance for future research and practice. The resulting thematic model, identified code definitions and proposed framework of strategies to overcome challenges, provide a general overview and resource to support future studies in the research area and facilitate practical use of SD capabilities to support PM.

Ethiopian medicinal plants used for their anti-inflammatory, wound healing or anti-infective activities: protocol for systematic literature review and meta-analysis

ObjectivesMedicinal plants are used globally as alternative medicines in the management of a range of disease conditions and are widely accepted across differing societies. Ethiopia hosts a large number of...

Mapeamento do uso de jogos digitais no ensino de matemática para alunos com deficiência intelectual: contribuições da Análise do Comportamento

O ensino de matemática para alunos com deficiência intelectual, por meio de procedimentos informatizados ou não, tem sido alvo de investigação, por mais de duas décadas, pela Análise do Comportamento. Recentemente, o uso de jogos educativos, analógicos ou digitais, também passaram a ser objetos de estudos para o ensino de diferentes habilidades. Assim, esse artigo teve como objetivo apresentar o mapeamento dos estudos brasileiros sobre jogos digitais, que adotaram os pressupostos da Análise do Comportamento na sua elaboração e, foram direcionados especificamente para o ensino de habilidades matemáticas a alunos com deficiência intelectual. Foram selecionados estudos, entre os anos de 2009 e 2020, por meio dos termos: análise do comportamento, jogos digitais, ensino fundamental, matemática e deficiência intelectual. A consulta ocorreu em duas bases de dados (Google Acadêmico e Catálogo de Teses e Dissertações da Capes), a partir do Protocolo de Revisão Sistemática da Literatura (RSL). A ausência de estudos que contemplassem todos os termos, redirecionou a sistematização e análise dos dados, considerando as relações pontuais entre os termos. Foram selecionados e analisados treze estudos, sendo que apenas quatro utilizaram os jogos digitais para o ensino de matemática. A participação de alunos com deficiência intelectual foi constatada somente em estudos que utilizaram procedimentos não informatizados, informatizados e jogos educativos analógicos, com resultados satisfatórios. O mapeamento indicou a necessidade de estudos que articulem essas experiências, o que poderia contribuir para o avanço da área e a inclusão escolar de alunos com deficiência intelectual.

Towards an evidence-based theoretical framework on factors influencing the software development productivity

Productivity refers to the rate at which a company produces goods, and its observation takes into account the number of people and the amount of other necessary resources to deliver such goods. However, it is not clear how to observe productivity and what influences it when the product is software since most effort spent in software development is creative and human-dependent. Besides, the outputs vary from each instance of software solutions throughout the software development process. To characterize software development productivity and investigate evidence-based factors aiming at understanding their influence on software development productivity. To evolve and replicate a systematic literature review (SLR) on software development productivity measurement and prediction methods. Next, to use the Structured Synthesis Method to aggregate and describe the relationships among software productivity and correspondingly influence factors according to the results of primary studies selected by SLR protocol. The study allowed organizing a body of knowledge through a model obtained from empirical evidence comprising 25 factors and 33 relationships regarding software development productivity based on the technical literature over the last 30 years. It uses a taxonomy for describing observations and for supporting the reasoning of uncertainty on the evidence regarding software development productivity in Software Engineering. The acquired knowledge may represent a first try towards a well-grounded theoretical framework regarding software development productivity. Based on a methodically selected set of evidence, the proposed framework intends to support practitioners and researchers on observing, deciding, and controlling software development productivity in software projects. Additionally, it can encourage researchers to identify which phenomena deserve better understanding and explanation through further empirical studies.