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The purpose of this paper is to investigate and discuss the influence of printing parameters on the mechanical properties of acrylonitrile butadiene styrene (ABS) print by fused deposition modelling (FDM). The mechanical properties of ABS are highly influenced by printing parameters, and they determine the final product quality of printed pieces.

For the paper’s purpose, five main parameters (extrusion temperature, infill pattern, air gap, printing speed and layer thickness) were selected and varied during ABS printing on an open-source and self-replicable FDM printer. Three different colors of commercially available ABS were also used to investigate color and printing parameter’s influence on the tensile strength.

The research results suggest that two parameters (infill pattern and layer thickness) were most influential on the mechanical properties of print ABS, being able to enhance its tensile strength. Another key influential factor was material color selected prior to printing, which influenced the tensile strength of the print specimen.

This study provides information on print parameters’ influence on the tensile strength of ABS print on replicable open-source three-dimensional (3D) printers. It also suggests the influence of materials’ color on print pieces’ tensile strength, indicating a new parameter for materials selection for 3D printing.

The purpose of this paper is to provide a clear and replicable methodology for conducting a policy archaeology. This paper articulates the steps in policy archaeology and the process is applied to a study of Discourses of disability in special education policy in Ontario, 1965-1978.

The metaphor of field archaeology guided the process of locating relevant texts through backward and lateral mapping and locating and interpreting artefacts. The artefacts were discursive representations of complex policy problem of disability in stakeholder texts. The Discourses were compared chronologically, within and across stakeholder texts. An explanatory narrative relates the Discourses to the socio-historical context.

There were significant contradictions in the discursive construction of disability. The texts of the Council for Exceptional Children presumed agreement that disability was an intrinsic, permanent deficit within the student with disabilities. In contrast, the other stakeholders stated that disability was the result of socially and educationally constructed barriers.

This paper makes no claim of universal truth. The interpretations and conclusions reached are influenced by the researcher’s knowledge and experience. Other scholars may reach other conclusions.

Scholars have a clear and replicable methodology for conducting a policy archaeology. This methodology is currently the most “true” to the metaphor of archaeology and uses Discourse analysis, interpretation and the creation of a narrative situated in a socio-historical context.

The study shows that the Discourses of disability in special education policy in special education policy in Ontario place children with disabilities at a serious educational disadvantage.

The purpose is to identify the main characteristics of dry ports (DPs) in Brazil, discussing the role of this logistic player, challenges and opportunities. Furthermore, this study provides a structured framework to drive DP decision-makers, identifying and assessing a network of means–end objectives, which could be replicable to other contexts.

This article approached initially a literature review and exploratory research to discuss the main characteristics of DPs in Brazil. The second step was to conduct a qualitative analysis following the value-focused thinking (VFT) approach in two case studies in Pernambuco state to assess the achievement of the main objectives.

This article identified that the main characteristics of DPs in Brazil are offering additional services with a cheaper storage cost, handling mainly import cargo and being connected to seaports through highways. Moreover, this study resulted in a framework to assess the objectives of DPs, which could be replicable in other contexts, improving the current operations of DPs.

The framework to assess DPs' objectives bridged the gap between the literature and the practice working as a tool to drive decision-makers to improve the current performance of DPs in Brazil. Additionally, the main issues, challenges and opportunities discussed provide managers, policymakers and DPs operators with valuable insights into this theme.

This paper is the first study to present a framework to assess the objectives of DPs as a valuable tool to drive decision-makers to improve DPs operations. From this study, lessons could be learned and the process described could be replicable in other countries.

The purpose of this paper is to apply a reflective theory of development for entrepreneurial ecosystems in the Muscle Shoals region of northern Alabama. The theory provides guidance for practitioners and policymakers interested in developing entrepreneurial ecosystems.

The theory offers five propositions, which are illustrated and applied in the case study. The propositions include the need for civic leaders recognizing local talent; support networks for entrepreneurs; a quality, connected place; activities designed to increase interactivity for entrepreneurs within the ecosystem; five distinct phases producing replicable, scalable and sustainable projects; and universities providing platforms upon which the ecosystems can develop.

Application of the proposed theory is transforming the entrepreneurial ecosystem in the Muscle Shoals region. In just four years, the project has produced over 30 initiatives and events, precipitously increased student participation in entrepreneurial ventures and raised over $1m.

The theory and its application developed from a collaboration between the Agile Strategy Lab at Purdue University and the Institute for Innovation and Economic Development at the University of North Alabama. This collaboration is replicable, scalable and sustainable, and is a model for university-led entrepreneurial ecosystem development and transformation.

This study aims to examine the relationship between the environment and tourism flows, as well as the economic variables of the 32 states of Mexico for the period 1999–2019 based on data availability. The related literature studying tourism and environmental impacts is scarce at a national level, with most of them being local case studies. Some international studies find that if the relationship exists, it is weak or nonexistent, using CO₂ as a proxy in most cases.

The present study uses panel data and cointegration panel methodologies, while also using geographic information systems to observe the distribution of variables at a state level between tourism and environmental variables.

The findings of the study are as follows: state gross domestic product, the inertia of environmental variables (i.e. volume of water treatment and solid waste), occupied rooms (proxy variable for tourism activity) and average temperature have an impact on the contemporary evolution of environmental variables; national and international tourist variables have no impact on the environment; the panels are integrated in such a way that there is a long-term equilibrium between states and some environmental care variables; and no conclusive evidence is found regarding the impact of tourism activity on the considered environmental variables.

The main limitations and areas of opportunity of the work refer to the amount of data available over time and the precision of the measurement of the variables. The availability, temporality and frequency of the data are also limitations of the research. An example of this is the nonexistence of CO₂ emissions at the state level. Additionally, studying other countries and regions for which there are limitations of data and applied studies is also a challenge.

The results are important for economies (in growth) and societies whose economic growth depends on tourism flows and have done little to reverse the damage that tourism has on the environment.

The models can contribute to study the relation between tourism and environmental variables and could be extended to regions, states and provinces for decision-making on actions to be taken for the present and future.

The originality of the research is innovative for the region: Mexico, Central and Latin America. There are no works that have studied these problems with this methodology and these variables. In terms of originality, the classic models of panel data and cointegration of panel data are useful and easily replicable for others to use for different countries. The results are relevant because there is apparently no relationship between tourism and some environmental variables in the short run, but there exists a weak and strong long-run relation between some of them.

本研究采用面板数据和协整面板模型方法, 同时利用地理信息系统(gis)观察州一级层面旅游和环境方面的变量分布。

本研究根据数据可用性, 研究了墨西哥32个州1999–2019年期间环境与旅游流量及经济变量之间的关系。在国家层面上研究旅游与环境影响的相关文献很少, 而且大多是地方的个案研究。一些国际研究发现, 即使有这种关系, 大多数案例中使用二氧化碳作为替代变量, 这种关系也是很弱或不存在。

i)国家国内生产总值, 环境变量的惯性(即水处理量和固体废物量), 占用的房间(旅游活动的代理变量)和平均温度对环境变量的现有演化有影响。ii)国内和国际旅游变量对环境没有影响。iii)面板数据以这样一种方式集成, 即国家和一些环境变量之间存在一种长期平衡。iv)关于旅游活动对所考虑的环境变量的影响没有确凿的证据。

这项工作的主要局限和机会领域是指随着时间的推移可获得的数据量和变量测量的精度。数据的可用性、时效性和频率也是本研究的局限性。这方面的一个例子是在州一级不存在二氧化碳排放。此外, 由于数据和应用研究的局限, 研究其他国家和地区也是一个挑战。

研究结果对经济增长依赖旅游业流量的经济体和社会具有重要意义, 这些经济体和社会对扭转旅游业对环境的破坏方面做得还不够。

这些模型有助于研究旅游业与环境变量之间的关系, 并可推广到地区、州和省, 以制定当前和未来的行动决策。

这项研究的原创性对该地区(墨西哥、中美洲和拉丁美洲)来说是具有创新性的。没有人用这种方法和这些变量研究过这些问题。就原创性而言, 面板数据和面板数据协整的经典模型是有用的且易于复制, 可供其他国家使用。 研究结果具有一定的相关性, 因为旅游业与部分环境变量在短期内不存在明显的相关性, 但在它们中的一些变量在长期内存在着或强或弱的相关性。

Se examina la relación entre medio ambiente y flujos turísticos, así como variables económicas de los 32 estados de México para el período 1999-2019 basado en la disponibilidad de datos. La literatura relacionada que estudia el turismo y los impactos ambientales es escasa a nivel nacional, siendo la mayoría de ellos estudios de casos locales. Estudios internacionales encuentran que, si la relación existe, es débil o inexistente, utilizando el CO2 como un indicador en la mayoría de los casos.

Se utilizaron metodologías de datos de panel y cointegración de panel, además sistemas de información geográfica para observar la distribución de variables a nivel estatal.

i) El Producto Interno Bruto Estatal, la inercia de las variables ambientales (es decir, volumen de tratamiento de agua y residuos sólidos), habitaciones ocupadas (proxy de la actividad turística) y temperatura promedio tienen un impacto en la evolución contemporánea de las variables ambientales, ii) las variables turísticas nacionales e internacionales no tienen un impacto en el medio ambiente, iii) los paneles están integrados de tal manera que existe un equilibrio a largo plazo entre turismo, crecimiento económico y algunas variables ambientales, y iv) no se encuentra evidencia concluyente con respecto al impacto de la actividad turística en las variables ambientales consideradas.

Las principales limitaciones y áreas de oportunidad del trabajo se refieren a la cantidad de datos disponibles en el tiempo y a la precisión de la medición de las variables. La disponibilidad, temporalidad y frecuencia de los datos también son limitaciones de la investigación. Un ejemplo de ello es la inexistencia de emisiones de CO2 a nivel estatal. Además, el estudio de otros países y regiones para los que existen limitaciones de datos y estudios aplicados también es un reto.

Los resultados son importantes para las economías (en crecimiento) y las sociedades cuyo crecimiento económico depende de los flujos turísticos y que han hecho poco por invertir los daños que el turismo produce en el medio ambiente.

Los modelos pueden contribuir a estudiar la relación entre el turismo y las variables medioambientales y podrían extenderse a regiones, estados y provincias para la toma de decisiones sobre las acciones a emprender para el presente y el futuro.

El artículo proporciona un análisis innovador y exploratorio hacia una perspectiva futura que agrega valor al turismo y la planificación para la sostenibilidad. La relación entre turismo y medio ambiente se ha estudiado durante varios años. La UNTWO ha abordado las consecuencias del turismo en el medio ambiente, particularmente, más basura, mayor consumo de agua, emisiones de CO2 y otros aspectos. Pocos trabajos estudian la relación entre estas variables.

La originalidad de la investigación es innovadora para la región: México, América Central y América Latina. No existen trabajos que hayan estudiado estos problemas con esta metodología y estas variables.

En términos de originalidad, los modelos clásicos de datos de panel y cointegración de datos de panel son útiles y fácilmente replicables para que otros los utilicen en diferentes países.

Los resultados son relevantes porque aparentemente no hay una relación entre el turismo y algunas variables ambientales a corto plazo, existe una relación débil y fuerte a largo plazo entre algunas de ellas.

Aims to solve the problem of why newer organizational models are losing their capability to elaborate and develop valuable firm‐specific sources of competitive advantages. Devotes special attention to the interdependent link between the rise of flexible employment relations and the diminishing capability of newer organizational models to sustain the sources of firm‐specific competitive advantages. Argues that an organization which relies heavily on flexible workforces will lose its ability to bind, retain as well as attract its skilled and most important idiosyncratic workers. First describes how the traditional organizational order, known as Fordism, is challenged and what newer organizational models claim to offer. Develops two different conceptional models that depict the hypothesized interdependent relation between the quality and degree of employment relations and the firms’ capability to use and elaborate the idiosyncratic knowledge of its workforce. Shows that the workforce has to be recognized as an increasingly non‐replicable, intangible, difficult to replicate firm‐specific source of sustainable advantage that cannot easily be imitated by competitors if retained and bound within organizational boundaries.

This study aims to investigate how organizations that invest in social innovation – such as for-profit and social enterprises – organize and shape the dynamics between social innovation and transformation.

This is a qualitative interpretative study through the theoretical lens of social innovation. The organizational phenomenon studied was the business strategy for sustainable regional development of a Brazilian financial institution. Secondary data were collected from financial institution’s documents. The data analysis followed a categorization technique.

This research presents five intersectional elements that act as agglutinating factors between the structural elements common to these organizations: the processes (inter-organizational and intra-organizational), the forms of materialization of social innovation (products, experiences and replicable forms) and the impacts (in society and organization).

The paper contributes to the debate about social innovation as to its definition, showing that it is both a phenomenon and a theory, which is still little explored. In particular, in emerging countries, such as Brazil, which publishes little about social innovation in international literature, going beyond European countries. Second, an empirical deeper understanding of the for-profit “organizations” modus operandi adopts and integrates social innovation in their strategies and operations. Third, given the multidimensional and complex nature of the social systems involved in innovation actions, it discusses a strategy that acts as an agglutinating factor. Finally, with reflections so that managers can discuss and start up a social innovation project.

Most research is based on nonempirical evidence. Among the few empirical works, the focus is on the performance of nonprofit organizations in the promotion, development and implementation of projects involving social technology. The literature does not adequately understand how for-profit organizations adopt and integrate social innovation into their strategies and operations. Furthermore, it is observed that research analyzes data from European countries, with few approaches eying countries in development.

In this paper, the authors use a new methodology, called paper affiliation index, to create finance journal ranking using expert judgment and research impact, both of which are based on secondary, objective measures, thus making it possible to produce lists every year without human manipulation at virtually no cost.

Bibliometrics. Python implementation.

A new ranking with 65 finance journals.

This procedure helps to reduce bias and to deal with known problems associated with current methodologies. The data used in the methodology comes from public sources; the procedure is therefore easily replicable. This methodology is not subject-dependent and thus can be transferred to other realms of knowledge. Once the bibliometric institutional data has been gathered, the procedure is not computationally costly: a Python implementation of the algorithm executes the whole computation in a few seconds. Results seem to correct the pernicious Matthew effect which is so evident in citation-based methods.

The institutional classification created includes all institutions that have contributed papers to the field of finance. The procedure helps to reduce bias and to deal with known problems associated with current methodologies. The data used in the methodology comes from public sources, the procedure is therefore easily replicable. The methodology is not subject-dependent and thus can be transferred to other realms of knowledge. Once the bibliometric institutional data has been gathered, the procedure is not computationally costly.

Research analyzing online travelers’ reviews has boomed over the past years, but it lacks efficient methodologies that can provide useful end-user value within time and budget. This study aims to contribute to the field by developing and testing a new methodology for sentiment analysis that surpasses the standard dictionary-based method by creating two hotel-specific word lexicons.

Big data of hotel customer reviews posted on the TripAdvisor platform were collected and appropriately prepared for conducting a binary sentiment analysis by developing a novel bag-of-words weighted approach. The latter provides a transparent and replicable procedure to prepare, create and assess lexicons for sentiment analysis. This approach resulted in two lexicons (a weighted lexicon, L1 and a manually selected lexicon, L2), which were tested and validated by applying classification accuracy metrics to the TripAdvisor big data. Two popular methodologies (a public dictionary-based method and a complex machine-learning algorithm) were used for comparing the accuracy metrics of the study’s approach for creating the two lexicons.

The results of the accuracy metrics confirmed that the study’s methodology significantly outperforms the dictionary-based method in comparison to the machine-learning algorithm method. The findings also provide evidence that the study’s methodology is generalizable for predicting users’ sentiment.

The study developed and validated a methodology for generating reliable lexicons that can be used for big data analysis aiming to understand and predict customers’ sentiment. The L2 hotel dictionary generated by the study provides a reliable method and a useful tool for analyzing guests’ feedback and enabling managers to understand, anticipate and re-actively respond to customers’ attitudes and changes. The study also proposed a simplified methodology for understanding the sentiment of each user, which, in turn, can be used for conducting comparisons aiming to detect and understand guests’ sentiment changes across time, as well as across users based on their profiles and experiences.

This study contributes to the field by proposing and testing a new methodology for conducting sentiment analysis that addresses previous methodological limitations, as well as the contextual specificities of the tourism industry. Based on the paper’s literature review, this is the first research study using a bag-of-words approach for conducting a sentiment analysis and creating a field-specific lexicon.

论可推广性的情感分析法以创建酒店字典：以TripAdvisor酒店评论为样本的大数据分析

对于在线游客评论的研究在过去的几年中与日俱增, 但是仍缺乏有效方法能在有限的时间喝预算内提供终端用户价值。本论文开发并测试了一套情感分析的新方法, 创建两套酒店相关的词库, 此方法超越了标准词典式分析法。

研究样本为TripAdvisor酒店客户评论的大数据, 通过开发崭新的有配重的词库法, 来开展两极式情感分析。这个崭新的具有配重的词库法能够呈现透明化和可复制的程序, 准备、创建、并检验情感分析的词条。这个方法用到了两种词典（有配重的词典L1和手动选择的词典L2）, 本论文通过对TripAdvisor大数据进行使用词类划分精准度, 来检测和验证这两种词典。本论文采用两种热门方法（公共词典法和复杂机器学习算法）来对比词典的准确度。

精确度对比结果证实了本论文的方法, 相较于机器学习算法, 显著地超越了以字典为基础的方法。研究结果还表明, 本论文的方法可以就预测用户情感趋势进行推广。

本论文开发并验证了一项方法, 这种方法通过创建可信的词典进行大数据分析, 以判定用户情感。本论文创建的L2酒店词库对分析客人反馈是可靠有用的工具, 这个词库还能帮助酒店经理了解、预测、以及积极相应客人的态度和改变。本论文还提出了一项可以了解每个用户情感的简易方法, 这项方法可以通过对比的方式来检测和了解客人不同时间的情感变化, 以及根据其不同背景和经历的不同用户之间的变化。

本论文提出并检测了一项新方法, 这项情感分析方法可以解决之前方法的局限并立脚于旅游行业。基于文献综述, 本论文是首篇研究, 使用词库法来进行情感分析和创建特别领域词典的方式。