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This study aims to validate the content of an instrument which identifies the organizational, sociocultural and technological characteristics that foster digital transformation (DT) in higher education institutions (HEIs) through the Delphi method.

The methodology is quantitative, non-experimental, and descriptive in scope. First, expert judges were selected; Second, Aiken's V coefficients were obtained. Nine experts were considered for the validation.

This study’s findings show that the instrument has content validity and there was strong consensus among the judges. The instrument consists of 29 questions; 13 items adjusted and 2 merged.

A novel instrument for measuring the DT at HEIs was designed and has content validity, evidenced by Aiken's V coefficients of 0.91 with a 0.05 significance, and consensus among judges evidenced by consensus coefficient of 0.81.

The purpose of this paper is to investigate the role of affective commitment and empowerment as mediators in the relationship among high-performance work systems (HPWS) and organizational performance. Different inconsistencies found in the literature review shows the need to take into account certain mediating variables, such as employees’ behaviors and attitudes, to understand how human resource management (HRM) facilitates the achievement of organizational results.

A sample of 200 medium-sized Spanish organizations was examined through partial least squares modeling methodology.

As hypothesized, a proactive strategic HRM approach in an organization can be translated in a series of human resources practices systems of high-performance, which stimulate directly employees’ affective commitment and promote empowerment among them, getting to better results in employees’ performance and in organizational performance.

This research shows that affective commitment and empowerment play a determinant role as mediators in HPWS and performance relationship, providing a deeper understanding of the alignment of strategy and HRM practices for organizational success.

Science, Technology, Engineering, and Mathematics (STEM) education, its importance, and its difficulties have been defined. This chapter seeks to present the digital tools that have been used during the pandemic period and that have been focused on promoting STEM education at different levels. The efforts made by educational organizations worldwide are mentioned. Different regions are shown presenting the best experiences of digital tools that enhance the elements of STEM and can be extended to different levels of education from elementary school to university. On the other hand, successful experiences of the use of technological tools from the teachers' point of view are shown, depicting the tools that have worked the most during the process of adapting to online classes to devise a much better educational plan that continues to take advantage of digital tools for STEM education.

New sustainability certification schemes (SCS) with different scope, governance structure and operating practice are fast emerging. This rapid growth and divergence in metrics has resulted in questions about the effectiveness of such schemes. Although this practice has been growing fast, to date, there are no reviews comprehensively synthesising the literature regarding SCS’ main flaws, challenges and improvement opportunities. This paper aims to identify what are the key components affecting effectiveness of SCS, highlighting their benefits, flaws and improvement opportunities.

An integrated literature review was conducted to identify and assess recent studies related to the benefits, flaws, effectiveness and improvement opportunities of SCS worldwide.

Key components affecting the effectiveness of SCS were identified (sustainability awareness; market access; management systems and productivity; social, environmental and economic impacts; monitoring outcomes; competition, overlapping and interoperability; stakeholder participation; and accountability and transparency). The authors argue that SCS to succeed have to be effective; provide accountability about their goals and achievements; and manage stakeholders’ expectations. Civil Society’s awareness of the scientific underpinnings of sustainability issues also contributes to the existence and improvement of such schemes.

The limitations of this study are associated with the secondary material that was publicly available for our literature review.

This paper fulfils an identified need to explore the key components affecting effectiveness of SCS, their benefits, flaws and improvement opportunities. Such a synthesis also identifies the key areas where interoperability between SCS should be pursued by corporations and governments.

Over the last few decades, some researchers have analysed the role of total quality management (TQM) as a precursor of innovation. However, the relationship between TQM and organisational innovation remains unclear and contradictory. The purpose of this paper is to provide a framework intended to clarify the complex effect that the implementation of a TQM system has on organisational innovation, where market orientation (MO) and knowledge management (KM) play a mediator role.

Data in this study come from a survey of 706 Spanish CEOs. The results were analysed employing structural equation modelling to determine how TQM, MO and KM influence innovation.

The results of the empirical study show that there is a curvilinear effect between TQM and organisational innovation. Both MO and KM perspectives play a mediator role between TQM and innovation.

Managers should be aware that management based on TQM help organisations not only to get higher quality but also to be market oriented and better manage their knowledge; what will help them to develop innovations.

This research sheds light on the question of the relationship between TQM and organisational innovation that has received mixed conclusions in the literature. There is evidence in this research that the relationship between TQM and innovation responds to a curvilinear relationship, where high levels of TQM favour a more than proportionate effect on the development of innovation. It also clarifies the mechanisms by which this effect is produced, with MO and KM as mediator variables.

While scholars recognize that digital technology is a major tool employed by contemporary learners to access knowledge, its full capacity is yet to be utilized. This paper investigates opportunities to increase individual learning engagement and knowledge retention in higher education and corporate environments through integrating educational content with innovative digital technology. Currently, within commonly adopted e-learning platforms, the most utilized online content delivery and student progress assessment tools in leadership education appear to be discussion-based instruction, along with written assignments, and research projects (Jenkins, 2016). To inform leadership educators’ choice in innovative tools for increased effectiveness of instruction, this paper shares an experience of delivering integrated global leadership education pedagogical content (i.e., cross-cultural competency instruction for graduate management class at a U.S.-based public university) within a gamified real-time multiuser learning platform—MyAltis—and discusses implications for leadership education.

Studies of Spanish literature during the late nineteenth century and the first one-third of the twentieth century are evolving from research on canonical writers to the study of “odd and forgotten” authors, themes and genres during what is now called the Other Silver Age. This paper aims to focus on the work undertaken in the field of literary translation by the women writers of this period.

Mnemosyne is an open-access digital library that allows data modeling for specific collections (women translators, science fiction, etc.) in support of research and teaching on Silver Age Spain. The first version of the library is stored on the server at the Universidad Complutense Library, and it is linked to the collections of the digital library HathiTrust and Biblioteca Nacional de España. Behind the scenes of Mnemosyne’s public presence online, the project is developing with the aid of the tool Clavy which is a rich internet application that is able to import, preserve and edit information from big data collections of digital objects so as to build bridges between institutional and digital repositories and create collections of enriched digital content. See:http://repositorios.fdi.ucm.es/mnemosine/queesmnemosine.php

The Collection Women Translators in Spain (1868-1936) inside Mnemosyne selects, categorizes and makes visible in digital format women translators and literary translations that belong to a forgotten repertoire to allow the historical review of the period. The digital collection of Spanish Women Translators pretends to be a field of international experimentation for the creation of interoperable semantic networks through which a large group of scholars could generate innovative research and theoretical reading models for literary texts. See:http://repositorios.fdi.ucm.es/mnemosine/colecciones.php

Clavy also provides a basic system of data visualization, edition and navigation. There are plans to integrate @Note, a collaborative annotation application, into Clavy. These two computational tools were developed by the software languages research group ILSA[1] at the Universidad Complutense de Madrid.

Its been followed NEWW Women Writers’ categories concerning biographical categories as successful standard for ensuring interoperability in the near future: children, marital status, social class, religion, profession and other activities, financial aspects, memberships. See:http://repositorios.fdi.ucm.es/mnemosine/ver_documento.php?documento=208369

These women also showed their interest in the writings of contemporary women by translating their works into Spanish or glossing foreign ideas about how the modern woman should be, think or behave. This digital collection shows the first steps of the intellectual women in the South of Europe.

To incorporate specially tailored metadata for the women translators’ collection into Mnemosyne, it will be necessary to use of Clavy’s extensibility to account for the particularities of the women translators’ collection. This is where prior knowledge of this literature’s historical and cultural context proves indispensable. In particular, the specific metadata model for the women translators’ collection incorporates elements that reflect the literary, historical and cultural characteristics of the collections.

Public concern for the natural environment has been one of the vital issues of discussion in recent decades across the globe. Individuals are now stressing the importance of the natural environment. In the context of developing countries, nongovernmental organisations (NGOs) are well positioned to have powerful impact on the discharge of corporate social responsibility through the usual pressures and lobbies exerted by the NGOs and their various networks than any other stakeholder. This study examines the impact of NGOs on environmental reporting of quoted manufacturing companies listed on Nigerian Stock Exchange. Using simple random sampling technique, secondary data were collected from annual reports and accounts of 10 selected manufacturing companies spanning 2010–2019. Multiple regression technique was used to analyse data collected. The findings reveal that environmental reporting and corporate social responsibility costs do not have significant impact on ROA and NPM with p-value of 0.713 and 0.612 at 5% level of significance, respectively, but both variables have positive significant effect on ROA. This means that the fund committed to environmental cost by these selected firms does not reflect on their profitability for the period reviewed. Based on this, it was recommended that as a matter of urgency for international Environmental NGOs should collaborate with local ones in achieving environmental friendly society. Similarly, United Nations should channel more funding on environment-focused NGOs because environmental issue is one of the cardinal points to be achieved by Sustainable Development Goals.

This study aims to explore the relationship between digital transformation and resilience development in the Australian food supply chain (FSC), and identify the contribution of digital technologies to it using the dynamic capabilities theory as theoretical lens.

For that, a mixed-method approach was used. It combines both quantitative and qualitative data to identify trends and details of the phenomenon, yielding more robust findings. We firstly collected and analyzing quantitative data obtained from food industry practitioners and, then, qualitative data gathered through semi-structured interviews with experts.

The study findings suggest that the relationship between digital transformation and resilience varies among tiers of the FSC and that digital technologies adoption affects resilience development differently across tiers. This highlights the potential cost savings of developing strategies that jointly address digital transformation and resilience development, improving performance outcomes and determining the extent to which digital technologies enhance or inhibit certain aspects of resilience in the FSC.

The study frames the relationship between digital technologies and resilience within the dynamic capabilities theory and suggests that digitalization can enhance resilience by enabling organizations to sense, seize, and transform strategies. We also provide insights for managers to develop strategies that simultaneously enhance digitalization and resilience, resulting in improved performance during disruptive events.

Latest Computational Fluid Dynamics (CFDs) tools allow modeling more finely the conjugate thermo-fluidic behavior of a single electronic component mounted on a Printed Wiring Board (PWB). A realistic three-dimensional representation of a large set of electric copper traces of its composite structure is henceforth achievable. The purpose of this study is to confront the predictions of the fully detailed numerical model of an electronic board to a set of experiment results to assess their relevance.

The present study focuses on the case of a Ball Grid Array (BGA) package of 208 solder balls that connect the component electronic chip to the Printed Wiring Board. Its complete geometrical definition has to be coupled with a realistic board layers layout and a fine description of their numerous copper traces to appropriately predict the way the heat is spread throughout that multi-layer composite structure. The numerical model computations were conducted on four CFD software then compare to experiment results. The component thermal metrics for single-chip packages are based on the standard promoted by the Joint Electron Device Engineering Council (JEDEC), named JESD-51. The agreement of the numerical predictions and measurements has been done for free and forced convection.

The present work shows that the numerical model error is lower than 2 per cent for various convective boundary conditions. Moreover, the establishment of realistic numerical models of electronic components permits to properly apprehend multi-physics design issues, such as joule heating effect in copper traces. Moreover, the practical modeling assumptions, such as effective thermal conductivity calculation, used since decades, for characterizing the thermal performances of an electronic component were tested and appeared to be tricky. A new approach based on an effective thermal conductivity matrix is investigated to reduce computation time. The obtained numerical results highlight a good agreement with experimental data.

The study highlights that the board three-dimensional modeling is mandatory to properly match the set of experiment results. The conventional approach based on a single homogenous layer using effective thermal conductivity calculation has to be banned.

The thermal design of complex electronic components is henceforth under increasing control. For instance, the impact of gold wire-bonds can now be investigated. The three-dimensional geometry of sophisticated packages, such as in BGA family, can be imported with all its internal details as well as those of its associated test board to build a realistic numerical model. The establishment of behavioral models such as DELPHI Compact Thermal Models can be performed on a consistent three-dimensional representation with the aim to minimize computation time.

The study highlights that multi-layer copper trace plane discretization could be used to strongly reduce computation time while conserving a high accuracy level.