Assuring Academic Integrity of Supervisor Appointment in Post-Graduate Program with Data-Driven Decision Making Strategy: A Proposal

Research supervision is one of the important aspect in academic quality assurance and the sustainbility of the science itself. However, there is lack of attention based on research literature and evidence of good practice on research supervision from the context of academic integrity in higher education. This study aims to develop a data-driven decision making strategy in supervisor selection for post-graduate program based using research projects data. Apart of that, the researchers reviewed the indicator of academic integrity in research supervisory from program standards in masters and doctoral degree by Malaysia Qualification Agency (MQA), international recommendation by UNESCO and Islamic principles according to the roles of the supervisor, administrator and student in the context of research supervisory. This study adopted data analytics and visualization technique using cloud-based collaborative platform as a research method for data acqusition, processing and analyzing the data. The researchers acquired the research projects profile data registered in the institutional database in Universiti Malaysia Pahang from Department of Research and Innovation as a case study. We categorized and mapped the research profile according to Malaysian Research and Development Classification System (MRDCS) code. The combined data was been analyzed and visualized to specific online dashboard to indicate the research experience in fraction of years as a metric. The researchers evaluate the characteristics of the dashboard based on the academic integrity indicators from MQA, UNESCO and Islamic principles as our measures. The result shows that there is a potential usefulness of the proposed strategy in assuring academic integrity for supervisor selection in post-graduate programmes. This novel approach has a potential impact on academic integrity in higher education which can be adopted at larger scale by higher education institution in Malaysia.

The innovation ecosystem in rural tourism and hospitality – a systematic review of innovation in rural tourism

Purpose Innovation in rural tourism and hospitality (RT) is a complex process that involves the exchange of knowledge and resources between many actors and the interrelationships between those actors in the business environment. The purpose of this paper is to provide structure to this “knowledge and resource ecosystem” through a thorough systematic review of the extant literature. Design/methodology/approach The current study uses a time-tested and reproducible systematic literature review process to identify and analyse 79 research papers that have discussed innovation in RT. Findings Through content analyses, this review identifies critical stakeholders in the innovation ecosystem, as well as the enabling and hindering roles these stakeholders play in innovation. The thematic analysis uncovers three key research foci: stakeholders and their roles, outcomes of innovation and business model innovation. The review also identifies types of innovation and critically analyses the bibliographical research profile. The authors summarise the findings in an RT innovation ecosystem model, which includes the various actors and their knowledge and resource sharing roles within the business environment. Originality/value This is one of the first systematic reviews to concentrate on RT innovation and, within that focus, on knowledge and resource networks in particular rather than on innovation in tourism in general, which was the focus of prior reviews. The authors encourage cross-pollination of ideas by introducing theories from the strategic management, innovation, knowledge management and business model innovation literature wherever appropriate. To consolidate and present the findings on the innovation process’s antecedents and outcomes, the authors present an ecosystem of innovation within the RT framework.

Machine learning mathematical model for the automatic setup of the cal and hrd flow during the process of primary aceration in electric ovens

In this work, a mathematical model is developed for the automatic predisposition of the flow of lime and HRD during the primary steeling process in HEA of the steel mill of Sidor, C.A. Model that was possible through an intelligent dynamic process control system, under a descriptive field research profile; considering a sample of 46 commercial grade steel castings (ASTM A 1018). The system consists of two simulation modules that ensure the ideal thermodynamic condition (steel temperature between 1535 to 1575 ° C, ITHD indicator less than 1,5% and a binary base index of the slag between 2 to 2,6 ) for the protection of refractory material and dephosphorization of steel. Having as a result, a reduction of the Tap To Tap of 7,08%; reduction of lime consumption by 5,28% and an increase in productivity of 7,51%. Keywords: Primary Metallurgy; Electric Arc Furnace (HEA); Mathematical Model; Machine Learning. References [1]Asociación Latinoamericana del Acero, "Alacero", [Online]. Available: https://www.alacero.org/sites/default/files/publicacion/proceso_siderurgico.pdf. [Last access: July 04, 2020]. [2]F. Morral, E. Jimeno y P. Molera, Metalúrgia general, Barcelona: Reverté, 1985. [3]B. Bucciarelli, G. Torga, F. Sabugal, F. Díaz y M. Lardizabal, "Evolución en el control del fósforo en la acería de Ternaris SIDERCA", de 18a Conferencia de acería del IAS, Rosario, Santa Fe, 2011. [4]S. Kalpakjian y S. Schmid, Manufactura, ingenieria y tecnología, 4ta ed., México: Pearson educación, 2002. [5]M. Oropeza, J. López, A. Pérez y J. Ucar, "Contribuciones para el control del fósforo cuando se utiliza mineral reducido de hierro", Revista metalurgia, vol. 35, nº 2, pp. 479-490, 2008. [6]J. Castro y F. Echeverría, Introducción a las técnicas de computación inteligente, 1era ed., Venezuela: Universidadde los andes, 2001. [7]A. Sadeghian y J. Lavers, "Application of radial basis function networks to model electric arc furnaces", IJCNN,vol. 6, pp. 3996-4001, 1999. [8]J. Brito, "Diseño de un control automatizado para la alimentación de cal mezcla en función del HRD para ajustar la basicidad binaria de la escoria del horno eléctrico #1 de la acería de planchones de Ternium SIDOR", trabajo de grado inédito, 2008. [9]A. Zambrano, V. Collazo, N. Troncone y J. Rodríguez, "A computer tool for closed-loop dynamical system identificaction through artificial neural networks", Universidad, Ciencia y Tecnología (UCT), vol. 16, nº 64, pp. 190-202, 2012. [10]E. Moreno, Tecnología de producción del ferrosilicio, 3era ed., Venezuela: Ferroatlántica de Venezuela, 2005. [11]C. García, "Optimización del proceso de formación de escoria espumosa en los hornos eléctricos de acerías de planchones de Sidor", trabajo de grado inédito, UNEFM, Punto Fijo, 2011. [12]M. Rojas, "Estudio del consumo de cal, coque, oxígeno y HRD en el proceso de formación de esocria epsumosa en el HE-5 de la acería de planchones de Sidor, C.A.", trabajo de grado inédito, UNEXPO, Puerto Ordaz, 2012. [13]R. Morales, R. Lule, F. López, J. Camacho y J. Romaero, "The slag foaming practice in EAF and its influence on the stelmaking shop productivity", ISIJ International, vol. 35, nº 9, pp. 1054-1062, 1995. [14]W. García, "Implementación de prácticas de escorias espumosa en los EAF de la acería eléctrica de planchones de Sidor, C.A.", trabajo de grado inédito, USB, Caracas, 2002. [15]S. Alameddine, B. Bowman, S. Paege y P. Stafford, "Innovation in EAF and in steelmaking processes", de AIM, Milano-Italia, 2009. [16]J. Mateos, "Análisis y optimización de costes en una planta de procesado y producción de acero", trabajo de grado inédito, UC3M, Madrid, 2010. [17]A. Conejo y J. Cárdenas , "Energy consumption in the EAF with 100% DRI", AISTECH Proceddings, vol. 1, pp. 529-535, 2006. [18]M. Rojas, O. Prado, O. Carvajal y R. Higuerey, "Impacto del consumo de cal, coque, oxígeno y HRD en la formación de escoria espumosa durante el proceso de aceración primaria en hornos de arco eléctrico", Universidad, Ciencia y Tecnología (UCT), vol. 17, nº 67, pp. 134-140, 2013.

The Architecture of Mass Customization-Social Internet of Things System: Current Research Profile

In the era of big data, mass customization (MC) systems are faced with the complexities associated with information explosion and management control. Thus, it has become necessary to integrate the mass customization system and Social Internet of Things, in order to effectively connecting customers with enterprises. We should not only allow customers to participate in MC production throughout the whole process, but also allow enterprises to control all links throughout the whole information system. To gain a better understanding, this paper first describes the architecture of the proposed system from organizational and technological perspectives. Then, based on the nature of the Social Internet of Things, the main technological application of the mass customization–Social Internet of Things (MC–SIOT) system is introduced in detail. On this basis, the key problems faced by the mass customization–Social Internet of Things system are listed. Our findings are as follows: (1) MC–SIOT can realize convenient information queries and clearly understand the user’s intentions; (2) the system can predict the changing relationships among different technical fields and help enterprise R&D personnel to find technical knowledge; and (3) it can interconnect deep learning technology and digital twin technology to better maintain the operational state of the system. However, there exist some challenges relating to data management, knowledge discovery, and human–computer interaction, such as data quality management, few data samples, a lack of dynamic learning, labor consumption, and task scheduling. Therefore, we put forward possible improvements to be assessed, as well as privacy issues and emotional interactions to be further discussed, in future research. Finally, we illustrate the behavior and evolutionary mechanism of this system, both qualitatively and quantitatively. This provides some idea of how to address the current issues pertaining to mass customization systems.

Three-Dimensional Assessment of the Knowledge Production System: Region-City-Organization

Conceptualization of the region as an integral territorial system of knowledge production has formed a widely used research strategy for innovation studies within regional boundaries. Regional level studies are supported by detailed innovation statistics, which is unavailable for smaller administrative-territorial units, such as municipalities or settlements. The development of spatial scientometrics gave impetus for a new round of research on knowledge and innovation geography with a closer approximation in the context of cities and urban agglomerations. The scope of recent research also includes individual organizations that generate new knowledge or innovation. Despite the topic prominence, the entire array of studies is fragmented, and connections between different levels are not established: region – city – organization. Whereas this is critically important for the implementation of an effective innovation policy. In this regard, in this study, we test the hypothesis that the aggregate data obscures a wide variety of knowledge nodes, which are represented by a dominant knowledge centre. In the case of the region, such centres are often the largest cities, and in the case of cities – the largest organizations. The research design is focused on assessing the knowledge production at a multiscale level – organization, city and region, using the method of spatial scientometrics. The example of the Russian Federation illustrates well the territorial and institutional diversity in the distribution of knowledge production centres of different levels due to its great length and complexity of the structure of the national innovation system. This fact determines the high degree of heterogeneity of the Russian innovation space at the interregional, intercity and inter-organizational levels. The research results show a strong correlation between the knowledge profiles of regions and their primary knowledge-generating cities (KGCs). In cases of a strong central-peripheral structure of the regional knowledge production system, the regional profile completely coincides with the profile of its primary KGC. The knowledge capacity of second-tier cities remains hidden. At the city level, the identified trend is exacerbated. The absence of a pronounced leader among knowledge-intensive organizations (KIOs) against organizational diversity leads to a strong blur of the effectiveness of the knowledge production capabilities of a city. The example of Khabarovsk shows that the research profile of a city in a given situation may not repeat the most productive KIO, but, on the contrary, a weak one. Thus, the three-dimensional region-city-organization approach captures local specifics and organizational diversity, encompassing the entire set of elements of a regional knowledge production system. The study concludes with recommendations for a knowledge management policy at a tiered level.

Is there an imbalance in the supply and demand for universal accessibility knowledge? Twenty years of UAIS papers viewed through the lens of WCAG

Purpose: Some universal accessibility practitioners have voiced that they experience a mismatch in the research focus and the need for knowledge within specialized problem domains. This study thus set out to identify the balance of research into the main areas of accessibility, the impact of this research, and how the research profile varies over time and across geographical regions. Method: All UAIS papers indexed in Scopus were analysed using bibliometric methods. The WCAG taxonomy of accessibility was used for the analysis, namely perceivable, operable, and understandable. Results: The results confirm the expectation that research into visual impairment has received more attention than papers addressing operable and understandable. Although papers focussing on understandable made up the smallest group, papers in this group attracted more citations. Funded research attracted fewer citations than research without funding. The breakdown of research efforts appears consistent over time and across different geographical regions. Researchers in Europe and North America have been active throughout the last two decades, while Southeast Asia, Latin America, and Middle East became active in during the last five years. There is also seemingly a growing trend of out-of-scope papers. Conclusions: Based on the findings, several recommendations are proposed to the UAIS editorial board.

Business to business (B2B) alliances in the healthcare industry: a review of research trends and pertinent issues

Purpose This study aims to find, analyse and synthesise the body of literature on how different health-care businesses form business-to-business (B2B) alliances. By doing so, this study seeks to identify visible research gaps to suggest future research questions and develop a conceptual framework to set a future research agenda. Design/methodology/approach The study uses the time-tested systematic literature review method to identify 57 studies that have addressed B2B relationships in the health-care industry. Thereafter, a qualitative analysis is performed to delineate the research profile and synthesise the key themes examined in the selected studies. Findings The qualitative analysis uncovers two key thematic foci: types and purposes of B2B relationships and pertinent issues in continued B2B relationships. Within these themes, the authors highlight different types of firms and their reasons for engaging in B2B relationships. The authors also summarise various issues that these firms deal with in such relationships. Finally, the authors highlight the limitations in the existing research and suggest future research questions to address them. The findings are summarised in a conceptual framework. Originality/value Although several reviews exist that evaluate the state-of-the-art research on B2B relationships, very few have examined the same in the context of health care. This review adds value to the research by providing a comprehensive overview of the existing findings in the area to encourage future research through a conceptual framework.

Determinant of Satisfaction and Repurchase Intention on E- commerce: A Case Study of Housewife in Indonesia

The development of a digital-based economy creates potential opportunity upon e-commerce platform service provider. Moreover, in pandemic situation shopping online support the large-scale social restriction. There are many well-known e- commerce brands in Indonesia both domestic and international establishment. The competition is in the red ocean which comprising many competitors who have strong leadership strikes penetration of the market. Innovation towards strategy to make consumer kept staying must be very important especially on how to lead them to do repeat order. However, many firms still neglect this factors. Switching behavior from the individual’s attitude towards the other e-commerce brands become threat for the certain e-commerce brand’s loyal customer. Therefore, this particular research focus on house-wife who fit-matched with the research profile respondent where mostly the house-wife plays significant role on decision and purchase making in a family. This research has purposes to analyze the factors that might influence the satisfaction and repurchase intention in e-commerce platform. In addition to that, analyze the correlation of brand leadership perception towards satisfaction and repurchase intention. Lastly, identify the characteristic of house-wife by looking at repeat order intention upon the brand leader. Conclusive-descriptive-multiple cross sectional research model by using statistical approach of PLS-SEM was conducted in this research. 265 housewives were recruited as respondent by using online survey across Indonesia. Study found that perceived value and popularity are directly related positively and significantly affect satisfaction and repurchase intention. Future research is encouraged to use longitudinal design in providing a holistic understanding of perceived brandleadership