Search results

Industry 4.0 or the Fourth Industrial Revolution is characterized by robotic process automation and machine-to-machine communications. Since computers, machines, and robots share information and knowledge more swiftly and effectively than humans, the question is what human beings' role could be in the era of the Internet-of-Thing. The answer would be beneficial to institutions for higher education to anticipate. The literature reveals a gap between the intended learning outcomes in higher education institutions and the needs of employers in Industry 4.0. Evidence is shown that higher education mainly focused on knowledge (know-what) and theory-based (know-why) intended learning outcomes. However, competent professionals require knowledge (know-what), understanding of the theory (know-why), professional (know-how) and interpersonal skills (know-how and know-who), and need intrapersonal traits such as creativeness, persistence, a result-driven attitude et cetera. Therefore, intended learning outcomes in higher education should also develop interpersonal skills and intrapersonal characteristics. Yet, personality development is a personal effort vital for contemporary challenges. The history of the preceding industrial revolutions showed the drawbacks of personality and character education; politicians have abused it to control societies in the 19th and 20th centuries. In the discussion section, the institutions for higher education are alerted that the societal challenges of the twenty-first century could lead to a form of personality education that is not in the student's interest and would violate Isaiah Berlin's philosophical concept of ‘positive freedom’.

In this chapter, I propose an integrative framework for theorizing and empiricizing about talent management, based on the notion of “talent philosophies.” I believe that current debates about whether talent management should be inclusive or exclusive create the risk that our field will become fragmented, thereby undermining its social-scientific legitimacy. Nonetheless, this debate is absolutely correct in identifying the tensions between inclusive and exclusive approaches to talent management as a phenomenon. This, however, creates issues for talent management as a construct for scientific inquiry, as we need clear definitions and measures to create a cumulative body of research as a community. I propose that the solution lies in an expansion of our vocabulary as talent management researchers and identify four constructs that can help us structure and categorize our collective work: giftedness, talent, potential, and strength. Each of these constructs map logically onto different talent philosophies and talent management practices. In establishing “unity in diversity,” I believe talent management could finally make the transition into a more mature field of academic inquiry – although clearly phenomenon driven – characterized in equal parts by construct clarity, rigor, and relevance.

Mobile phone-based human activity recognition (HAR) consists of inferring user’s activity type from the analysis of the inertial mobile sensor data. This paper aims to mainly introduce a new classification approach called adaptive k-nearest neighbors (AKNN) for intelligent HAR using smartphone inertial sensors with a potential real-time implementation on smartphone platform.

The proposed method puts forward several modification on AKNN baseline by using kernel discriminant analysis for feature reduction and hybridizing weighted support vector machines and KNN to tackle imbalanced class data set.

Extensive experiments on a five large scale daily activity recognition data set have been performed to demonstrate the effectiveness of the method in terms of error rate, recall, precision, F1-score and computational/memory resources, with several comparison with state-of-the art methods and other hybridization modes. The results showed that the proposed method can achieve more than 50% improvement in error rate metric and up to 5.6% in F1-score. The training phase is also shown to be reduced by a factor of six compared to baseline, which provides solid assets for smartphone implementation.

This work builds a bridge to already growing work in machine learning related to learning with small data set. Besides, the availability of systems that are able to perform on flight activity recognition on smartphone will have a significant impact in the field of pervasive health care, supporting a variety of practical applications such as elderly care, ambient assisted living and remote monitoring.

The purpose of this study is to build and test an accurate offline model by using only a compact training data that can reduce the computational and memory complexity of the system. This provides grounds for developing new innovative hybridization modes in the context of daily activity recognition and smartphone-based implementation. This study demonstrates that the new AKNN is able to classify the data without any training step because it does not use any model for fitting and only uses memory resources to store the corresponding support vectors.

Crisis services personnel are frequently deployed around the globe under highly demanding conditions. This raises the need to better understand the deployment process and more especially, sustainable reintegration after deployment. Despite recent research efforts, the study of the post-deployment stage, more specifically the reintegration process, remains fragmented and limited. To address these limitations, this review aims at (1) describing how reintegration is conceptualised and measured in the existing literature, (2) identifying what dimensions are associated with the reintegration process and (3) identifying what we know about the process of reintegration in terms of timing and phases.

Following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) protocol, the authors identified 5,859 documents across several scientific databases published between 1995 and 2021. Based on predefined eligibility criteria, 104 documents were yielded.

Research has primarily focused on descriptive studies of negative individual and interpersonal outcomes after deployment. However, this review indicates that reintegration is dynamic, multi-sector, multidimensional and dual. Each of its phases and dimensions is associated with distinct challenges.

To the authors’ knowledge, this is the first research that investigates reintegration among different crisis services and provides an integrative social-ecological framework that identifies the different dimensions and challenges of this process.

The purpose of this paper is to present a quantitatively supported explanation of the intellectual development, the schools of thought and the sub-areas of the food cold chain (FCC) research to derive meaningful avenues for future research.

This study builds on bibliometric analysis and network analysis to systematically evaluate a sample of 1,189 FCC articles published over the past 25 years. The descriptive statistics and science mapping approaches using co-citation analysis were performed with VOSviewer software.

The findings reveal a state-of-the-art overview of the top contributing and influential countries, authors, institutions and articles in the area of FCC research. A co-citation analysis, coupled with content analysis of most co-cited articles, uncovered four underlying research streams including: application of RFID technologies; production and operation planning models; postharvest waste, causes of postharvest wastage and perishable inventory ordering polices and models; and critical issues in FCC. Current research streams, clusters and their sub-themes provided meaningful discussions and insights into key areas for future research in FCC.

This study might reshape practitioners’, researchers’ and policy-makers’ views on the multifaceted areas and themes in the FCC research field, to harness FCC’s benefits at both strategic and tactical level. Finally, the research findings offer a roadmap for additional research to yield more practical and modeling insights that are much needed to enrich the field.

To deepen the understanding of the process of growth and development of career resilience, this study aims to investigate the impact of career history and openness to change as antecedents of career resilience and the effect of career resilience on career self-management and career outcomes (salary and career satisfaction) over time using the Career Construction Theory.

The authors applied structural equation modeling with cross-lagged associations between career characteristics (number of employees, job seniority and missed promotions), openness to change, career resilience, individual career management (ICM) and career success (salary and career satisfaction) using three-wave data of 872 employees.

Openness to change had cross-lagged positive relationships with career resilience. The number of (previous) employers and missed promotions had a positive effect on career resilience, whereas job seniority was related negatively to career resilience. Furthermore, career resilience had a positive effect on individual career self-management in terms of networking, practical things and drawing attention over time. No effect was found on the individual career self-management dimension of mobility-oriented behavior over time. Finally, ICM had a positive effect on salary and career satisfaction over time.

Altogether these results suggest that career resilience is not only a way to stay active as an employee and cope with career changes, but it also enhances employees’ chances to achieve objective and subjective career success.

In a current trend of a growing amount of short city trips, it becomes crucial to understand how local residents perceive the presence of tourists and tourism in their cities and how their socio-cultural context influences those perceptions. The purpose of this paper is to contribute to this understanding which will enable the city planners to take actions to create the well-balanced and resilient communities in which the needs of residents and tourists are equally met.

To understand residents’ perceptions’ about tourism in Bruges, this research applied photo-elicitation interviews with 28 residents who lived in various locations in the historical center to understand socio-cultural background of residents, their tourism-related concerns and whether they are in line with what is commonly perceived as problematic in Bruges.

Results show that as long as residents can benefit from tourism and tourism-related infrastructure, they support tourism. On the other hand, tourism decreases the liveability of the historical center due to supersession of infrastructure serving the residents by tourist-oriented amenities.

To build a sustainable and resilient city in the future, the authorities of Bruges should cease further “museumification” of the historical city by breaking the hegemony of tourism industry, providing affordable housing and rethinking the concentration model of tourism.

The photo-elicitation method proved to produce rich content and good-quality data by stimulating respondents’ memories and evoking experiences and emotions. Thus, this paper recommends that future research about residents’ attitudes is developed around visual methods as they give voice to the residents and are able to uncover issues which are difficult to capture with other methods.

This article presents the case for creating stronger connections between research on graduate and worker employability. We offer a narrative review of commonalities and differences between these research streams and offer thoughts and suggestions for further integration and mutual learning.

We outline some of the main theories and concepts in the graduate and worker employability domains. Furthermore, we analyze how these show considerable overlap, though they have barely connected with each other yet. We also formulate an agenda for future research that would spur stronger connections between the fields. Finally, we turn to our fellow authors, reviewers, and editors to encourage a more open approach to each other's work that would enable more cross-fertilization of knowledge.

We hope our narrative review, critical analysis and future research suggestions will lead to more collaborations and mutual learning among employability researchers in the educational, career and psychology areas.

In 1979, P. Wintgen obtained a basic relationship between the extrinsic normal curvature the intrinsic Gauss curvature, and squared mean curvature of any surface in a Euclidean 4-space with the equality holding if and only if the curvature ellipse is a circle. In 1999, P. J. De Smet, F. Dillen, L. Verstraelen and L. Vrancken gave a conjecture of Wintgen inequality, named as the DDVV-conjecture, for general Riemannian submanifolds in real space forms. Later on, this conjecture was proven to be true by Z. Lu and by Ge and Z. Tang independently. Since then, the study of Wintgen’s inequalities and Wintgen ideal submanifolds has attracted many researchers, and a lot of interesting results have been found during the last 15 years. The main purpose of this paper is to extend this conjecture of Wintgen inequality for bi-slant submanifold in conformal Sasakian space form endowed with a quarter symmetric metric connection.

The authors used standard technique for obtaining generalized Wintgen inequality for bi-slant submanifold in conformal Sasakian space form endowed with a quarter symmetric metric connection.

The authors establish the generalized Wintgen inequality for bi-slant submanifold in conformal Sasakian space form endowed with a quarter symmetric metric connection, and also find conditions under which the equality holds. Some particular cases are also stated.

The research may be a challenge for new developments focused on new relationships in terms of various invariants, for different types of submanifolds in that ambient space with several connections.

Students' satisfaction with e-learning outcomes is a vital component in determining the adoption of e-learning systems. Understanding the antecedent factors impacting students' satisfaction with e-learning outcomes helps decision-makers at the higher education to take the necessary actions to enhance the quality of students' performance, especially during the exceptional times, such as the COVID-19 pandemic.

This paper aims to determine and analyse the antecedent factors influencing students' satisfaction with e-learning outcomes during the pandemic. Structural equation modelling (SEM) is used to analysis a proposed research model.

The SEM results show that digital communities in e-learning, information technology (quality and accessibility) and the online course design quality directly influence students' satisfaction with e-learning outcomes. More interestingly, results show that the COVID-19-related factors (1) awareness of the COVID-19, (2) perceived challenges (negatively) and (3) the educational institutions' preparedness also influence e-learning outcomes.

The results suggest that the decision-makers at the educational institutions should consider adopting a blended learning system approach to deliver e-learning during the emergency, such as the COVID-19 outbreak situation.

This is one of the first studies in higher education context, which seek to identify the antecedent factors that influence students' satisfaction with e-learning outcomes during the COVID-19 pandemic.