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The academic–practitioner gap has been a widely discussed and well-established issue. Despite numerous studies conducted in this area, empirical evidence reveals that the gap is widening and also emphasizes the exigency to bridge this gap. Hence, the purpose of this study is to propose an acceptable solution that will fill this lacuna.

The study adopts the qualitative research methodology and was based on the system theory (ST) and the institutional theory (IT). Interviews, based on a semi-structured questionnaire, were conducted, focusing on three categories, namely individuals with solely academic experience, individuals with both academic and industrial exposure and business leaders. The unit of analysis was the individual.

The study, which unearthed some rich and challenging evidence from the respondents, reveals that gaining industrial exposure and working on continuous professional development are vital for academics to narrow or even close this gap. In addition, serving as apex members at board level or in professional bodies, serving global organizations as lead consultants and working on research collaborations are other important dimensions for academics.

This study introduces an emerging model named the “Pentagon Model” and develops a corporate index (C-index) for academics to earn, similar to the h-index. The study also explains the operationalization of the C-index based on the proposed algorithm. Hence, it is the envisaged that this study will change the landscape of the academic sphere in practical terms.

This study was carried out with the sole intention of bridging the gap between academics and practitioners. The proposed model and the index, which were developed by the author purely based on the outcome of this study, pave the way for many future research studies, not only to further improve the C-index but also to minimize disparities in transdisciplinary work between academics and practitioners.

The eigenvalues of element stiffness matrices K and the eigenvalues of the generalized problem Kx = λMx, where M is the element's mass matrix, are of fundamental importance in finite element analysis. For instance, they may indicate the presence of ‘zero energy modes’, or control the critical timestep applicable in temporal integration of dynamic problems. Recently explicit formulae for the eigenvalues of the stiffness matrix of a plane, 4‐node rectangular element have been given, and the authors have extended this approach to deal with 8‐node solid brick elements as well. In the present paper, explicit eigenvalues are given for plane triangular elements and techniques for eigenmode visualization are applied to well‐known triangular and quadrilateral elements. In the companion paper (Part II), the stiffness matrices of solid tetrahedra and bricks are similarly treated.

A simple procedure for accurate calculation of pore pressures in undrained elasto‐plastic materials is described. An 8‐node element is used, with ‘reduced’ integration during stress redistribution, and ‘full’ integration to form the global stiffness matrix for the modified Newton—Raphson procedure. An analysis of passive earth pressure in an undrained soil is used to demonstrate the algorithm and computed results are compared with a closed‐form solution.

Models of power semiconductor devices for use in circuit simulators need to take account of effects which can be neglected in low power device models; they then become very complex and difficult to parameterise. The power PIN diode model described in this paper demonstrates how the use of empirically derived look‐up tables can simplify the characterisation problem and how non quasi‐static effects can be incorporated

The governments of different nations implemented various policy measures in response to the COVID-19 outbreak. These policy measures had a negative impact towards freight transportation. Further, the shock and ripple effect on the other supply chain complicates the recovery process of freight transportation. The transformation of freight transportation in the post-COVID-19 world was reported to be unsustainable. Thus, emerged the requirement to formulate the recovery measures in the context of freight transportation. This study aims to identify and model the recovery measures for sustainable freight transportation (SFT).

In this study, 13 critical recovery measures are established from the literature and finalized with the help of an expert panel. An integrated Grey Decision-Making trial and evaluation laboratory is used to prioritize and establish the cause-effect relationships among the identified critical recovery measures. Further, sensitivity analysis is performed to ensure the robustness of the proposed model.

The present study reflects that Efficient traffic management (M13), sustainability focused policies (M2), sensitization of stakeholders (M10), financial support (M9) and adoption of 4 R practices (M12) are the top five critical recovery measures for SFT. The results highlight that the transport sector needs to retain the learning from the COVID-19 period to operate under low workforce availability. Further, the emerging economies are suggested to promote local manufacturing to reduce the lead time and risk of unavailability. The study findings reflect that attaining sustainability without considering the social dimension of sustainability is impossible. Also, the results shed light on the controllable and uncontrollable recovery measures.

The findings from the study would assist policymakers and practitioners in re-formulating the recovery measures for freight transportation considering the aspect of sustainability.

Drawing on information processing view (IPV) theory, the objective of this study is to explore big data analytics (BDA) in pharmaceutical supply chain (PSC) for better business intelligence. Supply chain operations reference (SCOR) model is used to identify and discuss the likely benefits of BDA adoption in five processes: plan, source, make, deliver and return.

Semi-structured interviews with managers in a triad comprising pharmaceutical manufacturers, wholesalers/distributors and public hospital pharmacies were undertaken. NVivo software was used for thematic data analysis.

The findings revealed that BDA capability would be more practical and helpful in planning, delivery and return processes within PSC. Sourcing and making processes are perceived to be less beneficial.

The study informs managers about the strategic role of BDA capabilities in SCOR processes for improved business intelligence.

Adoption of BDA in SCOR processes within PSC is a step towards resolving the challenges of drug shortages, counterfeiting and inventory optimisation through timely decision. Despite its innumerable benefits of BDA, Australian PSC is far behind in BDA investment. The study advances the IPV theory by illustrating and strengthening the fact that data sharing and analytics can generate real-time business intelligence helping in better health care support through BDA-enabled PSC.

Introduces the work of the UK's Manchester University Informatics Process Group on the full understanding of the control of systems. Suggests that a dialogue with workers with cybernetic interest could be promising.

The study aims to explore the current experiences of Ukrainian adolescents affected by the Russia-Ukraine war. The study focused on the changes in adolescents’ lives caused by the war, adolescents’ emotional reactions to the disruptions caused by the war, coping strategies employed by adolescents in dealing with disruptions and the role of information technology in supporting new realities and coping strategies of adolescents.

This study relied on semi-structured interviews conducted on Zoom with 27 Ukrainian adolescents ages 10-18. Participants were recruited using the snowball sample and came from various regions of Ukraine. The interview notes and partial transcripts were analyzed using thematic analysis to identify the common and unique patterns in participant responses.

The interview data revealed the signs of traumatic experiences and various stages and methods of coping with them. Participants’ resilience was supported by external factors, including families, communities, continuous schooling, ability to talk to friends, information technology, as well as internal skills, including social competence, problem-solving, critical consciousness, autonomy and a sense of purpose. Participants shared specific recommendations for improving information platforms and online content, e.g. making them more accessible and affordable for Ukrainian users, improving content curation and personalization, creating and promoting Ukrainian content and others.

Research relied on convenience sample of participants who had access to information communication technology (ICT), were aware and had an ability to participate. Field work is needed to reach out to participants without access to ICT.

This study contains broad recommendations for improving information technologies for the use of Ukrainian adolescents.

This research offers three timely account of the first-hand experiences of Ukrainian adolescents affected by the Russia-Ukraine war and can inform future work aimed at improving life conditions for teen population.

This study relied on first-hand reports of Ukrainian adolescents’ experiences, feelings and coping strategies during the first three months of Russia-Ukraine war. The study applied war trauma and resilience frameworks to interpret the findings and translate some of the findings into practical recommendations for the information science community.

A probabilistic mechanism is proposed to describe various forms of the Bradford phenomenon reported in bibliometric research. This leads to a stochastic process termed the Waring process, a special case of which seems to conform with the general features of ‘Bradford's Law’. The presence of a time parameter in the model emphasises that we are considering dynamic systems and allows the possibility of predictions being made.