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Successful implementation of a building information modeling (BIM) for building operation and maintenance (O&M) requires purposeful, early-design identification of end-user-specific model exchange requirements. This paper aims to provide a semantic data-rich classification system for model objects to convey facilities management (FM) requirements in BIM guidelines in support of efficient FM-BIM data workflows.

A modularized, repeatable and technical solution for semantic requirements of BIM exchange objects was developed through ontology-based data mapping of the industry foundation classes. The proposed solution further contextualizes syntax per the buildingSMART Data Dictionary schema and provides an implementation agreement to address the quality issues of discipline BIMs and establish consistent modeling and naming conventions to facilitate automated BIM data workflow.

The level of semantics (LOS) development framework and the results of LOS implementation focusing on a building mechanical system case project are presented and discussed to showcase the increased efficiency resulting from its implementation throughout the BIM data management workflows.

This study represents a pioneering effort to create and implement the LOS schema as a modularized solution in support of automatic BIM data creation, adjustment, verification and transition across the design, construction and O&M workflows of a large owner organization in the Midwest USA.

Effective synthesis of learning material is a multidimensional problem, which often relies on handpicking approaches and human expertise. Sources of educational content exist in a variety of forms, each offering proprietary metadata information and search facilities. This paper aims to show that it is possible to harvest scholarly resources from various repositories of open educational resources (OERs) in a federated manner. In addition, their subject can be automatically annotated using ontology inference and standard thematic terminologies.

Based on a semantic interpretation of their metadata, authors can align external collections and maintain them in a shared knowledge pool known as the Learning Object Ontology Repository (LOOR). The author leverages the LOOR and show that it is possible to search through various educational repositories’ metadata and amalgamate their semantics into a common learning object (LO) ontology. The author then proceeds with automatic subject classification of LOs using keyword expansion and referencing standard taxonomic vocabularies for thematic classification, expressed in SKOS.

The approach for automatic subject classification simply takes advantage of the implicit information in the searching and selection process and combines them with expert knowledge in the domain of reference (SKOS thesauri). This is shown to improve recall by a considerable factor, while precision remains unaffected.

To the best of the author’s knowledge, the idea of subject classification of LOs through the reuse of search query terms combined with SKOS-based matching and expansion has not been investigated before in a federated scholarly setting.

A recommendation system for an extended process of information retrieval in distributed information systems is proposed. This system is both a model of dynamic cognitive categorization processes and powerful real application useful for knowledge management. It utilizes an extension of fuzzy sets named evidence sets as the mathematical mechanisms to implement the categorization processes. It is a development of some aspects of Pask’s conversation theory. It is also an instance of the notion of linguistic‐based selected self‐organization here described, and as such it instantiates an open‐ended semiosis between distributed information systems and the communities of users they interact with. This means that the knowledge stored in distributed information resources adapts to the evolving semantic expectations of their users as these select the information they desire in conversation with the information resources. This way, this recommendation system establishes a mechanism for user‐driven knowledge self‐organization.

This study aims to examine the formal and metric properties of Gil et al.’s (2000) scale of attitudes toward organic products, which is the most popular scale to measure these attitudes.

The sample consisted of 4,992 household shoppers living in Hong Kong, Germany, Norway, Spain and the UK. The questionnaire was distributed using a third-party consumer panel, and the fieldwork was conducted using computer-assisted Web interviewing. The approach was based on confirmatory factor analysis and measurement of invariance, as well as format analysis using a wording-syntactic and semantic descriptive method.

The scale reflects an attitude-toward-object model approach. Its use has been heavily varied (in terms of wording, item semantics and the attributes to be measured). A two-factor structure that meets the metric conditions (reliability and validity) is found. However, the analysis of invariance shows that the scale behaves differently in different countries.

This scale offers a good starting point for measuring attitudes toward organic products. However, it requires refinement to adapt to consumer evolution and improve its metric validity. Verification of its applicability in cross-national studies is recommended.

To the best of the authors’ knowledge, this is the first study that assesses the format and quantitative characteristics of this scale on a cross-national level. For scholars and companies with international interests, preventing the use of scales with poor properties at the transnational level can improve the design of future studies and save money through a more informed choice of attitudinal scale.

Este estudio examina las propiedades formales y métricas de la escala de actitudes hacia los productos orgánicos de Gil et al. (2000), que es la escala más popular para medir estas actitudes.

La muestra incluye 4.992 compradores principales en hogares de Hong Kong, Alemania, Noruega, España y el Reino Unido. El cuestionario se distribuyó utilizando un panel de consumidores, y el trabajo de campo se llevó a cabo mediante entrevistas online asistidas por ordenador. El enfoque se basó en un análisis factorial confirmatorio y en la invariancia de las medidas, así como en un análisis del formato utilizando un método descriptivo de redacción-sintáctico-semántico.

La escala refleja un enfoque de actitud basada en el objeto. Su uso ha sido muy variado (en redacción, semántica de sus redacciones y los atributos que mide). Se encuentra una estructura de dos factores que cumple con las condiciones métricas (fiabilidad y validez). Sin embargo, el análisis de invariancia muestra que la escala se comporta de manera diferente en distintos países.

Esta escala ofrece un buen punto de partida para medir las actitudes hacia los productos orgánicos, pero requiere un refinamiento para adaptarse a la evolución del consumidor y para mejorar su validez métrica. Se recomienda verificar su aplicabilidad en los estudios internacionales comparados.

Este es el primer estudio que evalúa el formato y las características cuantitativas de esta escala a nivel internacional. Para los académicos y las empresas con intereses internacionales, evitar el uso de escalas con propiedades deficientes a nivel transnacional puede mejorar el diseño de futuros estudios y ahorrar dinero a través de una elección más informada de la escala actitudinal.

Actitudes, Productos orgánicos, Estudio transnacional, Análisis factorial confirmatorio, Validación de la escala

Artículo de investigación.

This paper seeks to present a modeling approach for e‐learning content, describing how to structure e‐learning content and also represent it in OWL DL.

This paper presents three different layers of information that should be considered in e‐learning and conceptual models to guide the representation of e‐learning content. This proposal is based on existing standards and experience gained in previous works. It is also shown how to structure and represent the content embedded in learning objects (LOs).

Besides providing a better structuring of the e‐learning content, content reuse and exploratory navigations over content through the semantic relationships between information (mainly information objects (IOs) and conceptual units) are promoted.

A visual tool to allow a better exploration of the e‐learning content is already being developed. However, it is essential to develop optimized storing and retrieving mechanisms that would make this approach more interesting.

When compared with other approaches such as those based on semantic models and deductive models, the decrease in complexity makes acceptance and adoption of this approach by teachers and instructional designers easier.

This paper fulfils an identified three‐level information need for e‐learning content and presents a new modeling approach. Besides structuring the e‐learning content, the model is also represented in OWL DL. It allows an easier/richer implementation of e‐learning content.

In recent years professional accountancy bodies (e.g., CPA), accreditation institutions (e.g., AACSB) and employers have steadily raised, and continue to raise expectations regarding the need for accounting graduates to demonstrate skills in data analytics. One of the obstacles accounting instructors face in seeking to implement data analytics, however, is that they need access to ample teaching materials. Unfortunately, there are few such resources available for advanced programming languages such as R. While skills in commonly used applications such as Excel are no doubt needed, employers often take these for granted and incremental value is only added if graduates can demonstrate knowledge in using more advanced data analytics tools for decision-making such as coding in programming languages. This, together with the current dearth of resources available to accounting instructors to teach advanced programming languages is what drives motivation for this chapter. Specifically, we develop an intuitive, two-dimensional framework for incorporating R (a widely used open-source analytics tool with a powerful embedded programming language) into the accounting curriculum. Our model uses complexity as an integrating theme. We incorporate complexity into this framework at the dataset level (simple and complex datasets) and at the analytics task level (simple and complex tasks). We demonstrate two-dimensional framework by drawing on authentic simple and complex datasets as well as simple and complex tasks that could readily be incorporated into the accounting curriculum and ultimately add value to businesses. R script programming code are provided for all our illustrations.

In this presentation I shall be concerned with only one aspect of information science and its relation with linguistics: namely document analysis (for a broader survey of ‘Linguistics and information science’, see the recent article published under that title by C. Montgomery (1972); also M. Kay and K. Sparck Jones (1971), and the report prepared for F.I.D. by the same authors, forthcoming; M. Coyaud (1972), in French, deals with many separate facets of the same subject).

This article aims to report on the development and validation of a bribery measurement index for the business sector, which, based on institutional theory, seeks to overcome the limitations of traditional measurements, recognizing the dynamics that originate the phenomenon and identifying process components.

To construct the index, correlational and principal component analysis techniques were used, as well as rigorous statistical tests, validating the instrument in a sample of 2,963 companies in Latin America, including Argentina, Colombia, Chile, Ecuador, Guatemala, Mexico and Peru.

The result was an instrument composed of two dimensions: (1) anti-bribery game rules, composed of regulations knowledge and anti-bribery efforts, and (2) bribery as a perceived habit, allowing an objective representation of reality due to its internal consistency, concurrent and discriminant validity.

This instrument is one of the few that focuses on measuring bribery in the business sector in terms of corrupt practices, applicable for both public and private institutions to promote game rules against bribery. Additionally, the proposed theoretical model can be used to measure other phenomena with similar characteristics.

This article empirically highlights different variables that make bribery possible. The results can be helpful in the design of strategies to prevent this type of behavior. It also highlights the importance of designing mechanisms to record information related to bribery and the different expressions of corruption in order to explain its different nuances.

Este artículo informa sobre el desarrollo y validación de un índice de medición de soborno para el sector empresarial, que, basado en la teoría institucional, busca superar las limitaciones de las mediciones tradicionales, reconociendo las dinámicas que originan el fenómeno e identificando los componentes del proceso.

Para la construcción del índice se utilizaron técnicas de análisis correlacional y de componentes principales, así como rigurosas pruebas estadísticas, validando el instrumento en una muestra de 2.963 empresas de América Latina, entre ellas Argentina, Colombia, Chile, Ecuador, Guatemala, México y Perú.

El resultado fue un instrumento compuesto por dos dimensiones: (1) reglas de juego antisoborno, compuestas por conocimiento normativo y esfuerzo antisoborno (2) soborno como hábito percibido, permitiendo una representación objetiva de la realidad debido a su consistencia interna, validez concurrente y discriminante.

Este artículo pone en evidencia empírica diferentes variables que hacen posible el soborno. Los resultados pueden ser útiles en el diseño de estrategias para prevenir este tipo comportamiento, también destaca la importancia de diseñar mecanismos para registrar la información relacionada con la lucha contra el soborno.

Este instrumento es uno de los pocos que se enfoca en medir el soborno en el sector empresarial en términos de prácticas de corrupción, útil para instituciones tanto públicas como privadas para promover mejores reglas de juego en contra del soborno. Adicionalmente el modelo teórico propuesto puede ser utilizado para medir otros fenómenos con características similares.

This study aims to propose an integrated moderated mediation model to examine the process by which hotels obtain competitive advantage from the perspective of hotel managers.

After obtaining the agreement of the participants, a total of 560 candidates, all of whom were hotel managers, completed a survey administered online over a three-month period from November 2020 to January 2021. Ultimately, 257 valid responses were obtained after data screening by research assistants, for a response rate of 45.89%.

By reference to the concepts of big data (BD) and sustainability, the results show that BD management is a foundational attribute with respect to the indirect effects of BD analytics capabilities via proactive market orientation and social media collaboration. Furthermore, sustainability commitments and marketing are found to affect the relationship between such analytics capabilities and competitive advantage. Additionally, information sharing and food services have positive moderating effects that strengthen the changes in critical attributes during the process of obtaining competitive advantage.

To date, despite the proliferation of the concepts of BD, social media and sustainability, there is a lack of adequate empirical evidence and systematic literature reviews to comprehensively synthesize the emerging body of literature in the fields of tourism and hospitality research.

本研究于2020年11月到2021年1月的三个月期间, 在取得560位饭店管理者的同意后, 让他们完成了在线问卷调查。最终, 经过研究助理的数据筛选后, 收集到257份有效问卷, 有效回收率为45.89%。

本研究提出了一个调节式中介模型, 透过酒店管理者的角度来探讨酒店获得竞争优势的过程。

研究结果显示, 大数据管理透过参考大数据和永续的概念, 探讨主动式市场导向和社交媒体协作对大数据分析能力产生间接影响的基本重要归因。此外, 永续承诺和行销会影响分析能力与竞争优势之间的关系。再者, 信息共享和食品服务的关系起着显著的调节作用, 在获得竞争优势的过程中加强了关键属性间的关系。

迄今为止, 尽管大数据、社交媒体和永续的概念逐渐受到重视, 但仍缺乏足够的实证和系统性文献综整来阐逑观光餐旅研究文献缺憾。

Tras obtener el consentimiento de los participantes, un total de 560 candidatos, todos directores de hotel, completaron una encuesta online en un período de tres meses, desde noviembre de 2020 hasta enero de 2021. Finalmente, se obtuvieron 257 respuestas válidas tras un proceso de comprobación por los técnicos de investigación, lo que supone una tasa de respuesta del 45,89%.

Este estudio propone un modelo de mediación moderado integrado para examinar el proceso por el cual los hoteles obtienen ventajas competitivas desde la perspectiva de los directores de hotel.

Haciendo referencia a los conceptos de macrodatos y sostenibilidad, los resultados muestran que la gestión de macrodatos es un atributo fundamental para los efectos indirectos de las capacidades analíticas de macrodatos a través de la orientación proactiva al mercado y la colaboración en los medios sociales. Además, se observa que los compromisos de sostenibilidad y el marketing afectan a la relación entre dichas capacidades analíticas y la ventaja competitiva. Asimismo, el intercambio de información y los servicios de alimentación tienen efectos moderadores positivos que fortalecen los cambios en los atributos críticos durante el proceso de obtención de una ventaja competitiva.

Hasta la fecha, a pesar de la proliferación de los conceptos de macrodatos, medios sociales y sostenibilidad, se carece de evidencia empírica adecuada y de revisiones bibliográficas sistemáticas que sinteticen de forma exhaustiva la literatura emergente en los campos de investigación del turismo y la industria hotelera.

This paper proposes a conceptualization of the e-waste domain, formalized through a metamodel, to express complex e-waste realities in a simple manner. This also enables the transition from a structural model to a behavioral model to implement analysis techniques.

The methodology used is design science research (DSR), a problem-solving paradigm which seeks to construct a working artifact and prove its relevance. The artifact, a metamodel for the e-waste domain, was constructed through an iterative manner and later analyzed to conclude its theoretical relevance and contributions in this domain. As part of the approach, the authors used supplementary techniques such as systematic literature review (SLR), conceptual modeling (CM) and system dynamics (SD).

The application in the e-waste domain of CM techniques such as metamodeling, model-to-model transformation and simulation is valuable for supporting decision-making, especially when combined with SD. The approach presented in this paper, the conceptual tools and different simulation techniques could also be applied in other complex domains to obtain similar results.

The modeling method to apply simulation techniques is targeted toward the e-waste domain experts to understand, design, implement, measure and improve strategies and public policies.

The use of CM techniques to model and analyze structural and behavioral e-waste scenarios.