• Time-dependent thixotropic behaviours of lead-free Sn-Ag-Cu (SAC) solder pastes and flux mediums used in electronic assemblies

      Mallik, S; Ekere, Nduka; Depiver, Joshua (David Publishing, 2022-12-31)
      Solder pastes are widely used as crucial joining material in microelectronic assemblies. This study investigates time-depended behaviours of paste materials (solder pastes and flux mediums) in relation to their transportation, storage, handling and applications. Two fluxes and four commercially available lead-free solder pastes prepared from those fluxes were evaluated. Two rheological test methods – ‘hysteresis loop test’ and ‘step shear test’ were adapted, taking account of actual shear profile of solder pastes and flux mediums. Within hysteresis loop tests, samples were sheared for both single and multiple cycles, with increasing and decreasing shear rates. These tests provided a quick and straightforward way of benchmarking time-depended structural breakdown and build-up of paste materials. The test results also provided an effective means of predicting how the pastes will behave during their use, such as at various stages of the stencil printing process. Step shear tests were performed by applying a sequence of stepwise increase in shear rates. The step-wise increase in shear rate has influenced the timedependent behaviours of solder paste samples and flux mediums. The result from the stepshear-test implies that the build-up of solder paste structure depends mainly on both the previous shear history and the intensity of structural break-down.
    • Evaluating the effects of indoor air quality on teacher performance using artificial neural network

      Alzahrani, Hamdan; Arif, Mohammed; Kaushik, Amit; Rana, Muhammad Qasim; Aburas, Hani (Emerald, 2022-12-31)
      Purpose - Indoor Air Quality has a direct impact on occupant health and productivity. Understanding the effect of Indoor Air Quality (IAQ) in educational buildings is essential in both the design and construction phases for decisionmakers. Hence, it is equally important to recognise and appreciate the influence of design judgements on occupants' performance, especially on teacher and students. Design - This study aims to evaluate the effect of IAQ on teachers' performance. This study would deliver air quality requirements to BIM-led school projects. the methodology of the research approach uses quasi-experiment using questionnaire surveys and physical measurements of indoor air parameters to associate correlation and deduction. A technical college building in Saudi Arabia was used for the case study. The study developed an Artificial Neural Network model to define and predict relationships between teachers' performance and indoor air quality. Findings - This paper highlights a detailed investigation into the impact of indoor air quality via direct parameters (relative humidity, ventilation rates and carbon dioxide) on teacher performance. Research findings also indicate an optimal relative humidity with 65%, ranging between 650 ppm to 750 ppm of CO2, and 0.4m/s ventilation rate. This ratio considered optimum records for both comfort and performance. Originality – This paper focused on teachers’ performance in Saudi Arabia and used Artificial Neural Networks to define and predict the relationship between performance and indoor air quality. There are few studies focusing on teachers’ performance in Saudi Arabia and very few that uses ANN in data analysis.
    • Terminology for chain polymerization (IUPAC Recommendations 2021)

      Fellows, Christopher M; Jones, Richard G; Keddie, Daniel; Luscombe, Christine K; Matson, John B; Moad, Graeme; Matyjaszewski, Krzysztof; Merna, Jan; Nakano, Tamaki; Penczek, Stanislaw; et al. (Walter de Gruyter, 2022-12-31)
      Chain polymerizations are defined as chain reactions where the propagation steps occur by reaction between monomer(s) and active site(s) on the polymer chains with regeneration of the active site(s) at each step. Many forms of chain polymerization can be distinguished according to the mechanism of the propagation step (e.g., cyclopolymerization – when rings are formed, condensative chain polymerization – when propagation is a condensation reaction, group-transfer polymerization, polyinsertion, ring-opening polymerization – when rings are opened), whether they involve a termination step or not (e.g., living polymerization – when termination is absent, reversible-deactivation polymerization), whether a transfer step is involved (e.g., degenerative transfer polymerization), and the type of chain carrier or active site (e.g., radical, ion, electrophile, nucleophile, coordination complex). The objective of this document is to provide a language for describing chain polymerizations that is both readily understandable and self-consistent, and which covers recent developments in this rapidly evolving field.
    • Business model innovation for Industry 4.0 agenda

      Jallow, Haddy; Renukappa, Suresh; Suresh, Subashini (Business Model Society, 2022-12-31)
      The manufacturing industry is currently within the fourth industrial revolution. The term “Industry 4.0” refers to the automation and digitisation of the manufacturing industry with new technologies emerging. The UK infrastructure sector currently have many projects on going, upgrading existing assets and constructing new assets. Despite being in the fourth industrial revolution, the infrastructure sector is finding it difficult to adopt and implement industry 4.0 agenda as there is no direct guide or standards available for implementation, in addition organisations within the sector do not understand the requirements and competency level. This paper aims to outline the need for business model innovation within the sector to enable the adoption and implementation of industry 4.0 agenda. This study takes a case study approach and semi-structured interviews were undertaken from experts in the infrastructure sector to analyse the need for Business model innovations within the sector.
    • Environmental and technical impacts of floating photovoltaic plants (FPVs) as an emerging clean energy technology

      M Pouran, Hamid; Padilha Campos Lopes, Mariana; Nogueira, Tainan; Castelo Branco, David; Sheng, Yong (Cell Press, 2022-12-31)
      Floating photovoltaic plants (FPVs) are emerging as a new modality of photovoltaic system application. FPVs present several benefits in comparison with ground-mounted systems and could have major and lasting positive environmental and technical impacts globally, which is the focus of this paper. Floating solar technology does not occupy habitable and productive areas and can be deployed in brownfields and degraded environments, that helps reducing land-use conflicts. Saving water through mitigating evaporation and improving water security in water-scarce regions combined with their flexibility for deployment on different water bodies including drinking water reservoirs are of other advantages of FPVs. They also have higher efficiency than ground-mounted PV solar and are compatible with the existing hydropower infrastructures, which supports diversifying the energy supply and its resilience. Despite the notable growth of floating photovoltaics on an international scale, lack of supporting policies and development roadmaps by the governments could hinder FPVs’ sustainable growth. Long-term reliability of the floating structures is also of the existing concerns that if not answered could limit the expansion of this emerging technology.
    • Towards an interpretable model for automatic classification of endoscopy images

      García-Aguirre, Rogelio; Torres Treviño, Luis; Navarro-López, Eva María; González-González, José Alberto; Pichardo Lagunas, Obdulia; Martínez Seis, Bella; Martínez-Miranda, Juan (Springer, 2022-12-31)
      Deep learning strategies have become the mainstream for computer-assisted diagnosis tools development since they outperform other machine learning techniques. However, these systems can not reach their full potential since the lack of understanding of their operation and questionable generalizability provokes mistrust from the users, limiting their application. In this paper, we generate a Convolutional Neural Network (CNN) using a genetic algorithm for hyperparameter optimization. Our CNN has state-of-the-art classification performance, delivering higher evaluation metrics than other recent papers that use AI models to classify images from the same dataset. We provide visual explanations of the classifications made by our model implementing Grad-CAM and analyze the behavior of our model on misclassifications using this technique.
    • Evaluating floating photovoltaics (FPVs) potential in providing clean energy and supporting agricultural growth in Vietnam

      M Pouran, Hamid; Padilha Campos Lopes, Mariana; Ziar, Hesan; Castelo Branco, David; Sheng, Yong (Elsevier, 2022-09-29)
      Vietnam’s promising economic growth has led to energy shortage, growing coal imports, and increasing carbon emissions. The country’s electricity demand annual growth rate has been 12% in recent years and is projected to be 8-9% by 2030. In Vietnam 40% of the land is dedicated to agriculture and thousands of inland water bodies are used for agriculture/aquaculture. Utilising even a small portion of them for Floating Photovoltaics (FPVs) would mitigate land-use conflicts and benefits agriculture and aquaculture. To demonstrate FPVs' potential, we selected a hydropower dam reservoir in the North and six irrigation reservoirs in the South. System Advisor Model (SAM) software was used to simulate the electricity generated if we cover 1%, 5%, and 10% of surfaces of these reservoirs. The results show a potential capacity close to 1 GWp and annual potential generation of 1.4 TWh if 1% of these surfaces were covered by FPVs. We also evaluated FPVs potential for four different types of water bodies in Vietnam: Lake, Lagoon, River and Without Classification. The results showed that the potential capacity, considering use of only of 1% of these water surfaces for FPVs is 3.7 GWp, and provides 5385 GWh generation, which highlights the significant contribution that FPVs can make to the renewable energy sector in this country. However, FPVs face some socio-technical barriers, including regulatory ambiguity about water rights, uncertainty about economic policies and limited information about their environmental impacts that could hamper the expansion of this technology, and need to be addressed through further research.
    • RNA-seq analysis revealed key genes associated with seed germination of Fritillaria taipaiensis P.Y.Li by cold stratification

      Yang, Qiu-Xiong; Chen, Dan; Zhao, Yan; Zhang, Xiao-Yu; Zhao, Min; Peng, Rui; Sun, Nian-Xi; Baldwin, Timothy; Yang, Sheng-Chao; Liang, Yan-Li; et al. (Frontiers Media S.A., 2022-09-28)
      Seed dormancy is an adaptive strategy for environmental evolution. However, the molecular mechanism of the breaking of seed dormancy at cold temperatures is still unclear, and the genetic regulation of germination initiated by exposure to cold temperature requires further investigation. In the initial phase of the current study, the seed coat characteristics and embryo development of Fritillaria taipaiensis P.Y.Li at different temperatures (0°C, 4°C, 10°C & 25°C) was recorded. The results obtained demonstrated that embryo elongation and the dormancy-breaking was most significantly affected at 4°C. Subsequently, transcriptome analyses of seeds in different states of dormancy, at two stratification temperatures (4°C and 25°C) was performed, combined with weighted gene coexpression network analysis (WGCNA) and metabolomics, to explore the transcriptional regulation of seed germination in F. taipaiensis at the two selected stratification temperatures. The results showed that stratification at the colder temperature (4°C) induced an up-regulation of gene expression involved in gibberellic acid (GA) and auxin biosynthesis and the down-regulation of genes related to the abscisic acid (ABA) biosynthetic pathway. Thereby promoting embryo development and the stimulation of seed germination. Collectively, these data constitute a significant advance in our understanding of the role of cold temperatures in the regulation of seed germination in F. taipaiensis and also provide valuable transcriptomic data for seed dormancy for other non-model plant species.
    • More time for aliens? Performance shifts lead to increased activity time budgets propelling invasion success

      Ginal, Philipp; Kruger, Natasha; Wagener, Carla; Araspin, Laurie; Mokhatla, Mohlamatsane; Secondi, Jean; Herrel, Anthony; Measey, John; Rödder, Dennis (Springer, 2022-09-22)
      In the Grinnellian niche concept, the realized niche and potential distribution is characterized as an interplay among the fundamental niche, biotic interactions and geographic accessibility. Climate is one of the main drivers for this concept and is essential to predict a taxon’s distribution. Mechanistic approaches can be useful tools, which use fitness-related aspects like locomotor performance and critical thermal limits to predict the potential distribution of an organism. These mechanistic approaches allow the inclusion key ecological processes like local adaptation and can account for thermal performance traits of different life-history stages. The African Clawed Frog, Xenopus laevis, is a highly invasive species occurring on five continents. The French population is of special interest due to an ongoing expansion for 40 years and a broad base of knowledge. We hypothesize that (1) the French population exhibits increased activity time in the invasive European range that could be devoted to fitness-relevant activity and (2) tadpoles may have less activity time available than adult frogs from the same range. We investigate how thermal performance traits translate into activity time budgets and how local adaptation and differences in the thermal responses of life-history stages may boost the European Xenopus invasion. We use a mechanistic approach based on generalized additive mixed models, where thermal performance curves were used to predict the hours of activity and to compare the potential activity time budgets for two life-history stages of native and invasive populations. Our results show that adult French frogs have more activity time available in Europe compared to South African frogs, which might be an advantage in searching for prey or escaping from predators. However, French tadpoles do not have more activity time in Europe compared to the native South African populations suggesting that tadpoles do not suffer the same strong selective pressure as adult frogs.
    • Renewable energy re-distribution via multiscale IoT for 6G-oriented green highway management

      Rahman, Md Arafatur; Mukta, Marufa Yasmin; Asyhari, A. Taufiq; Moustafa, Nour; Patwary, Mohammad; Yousuf, Abu; Razzak, Imran; Gupta, Brij (IEEE, 2022-09-16)
      While recent works on investigating renewable energy sources for powering the highway offer promising solutions for sustainable environments, they are often impeded by unequal distribution of sources across the region due to variations in solar exposure and road intensity that electromagnetically and mechanically generate the energy. By exploiting viable gathering of massive renewable energy data using the Internet of Things (IoT), this paper proposes a framework for improved highway-energy management based on the unmanned aerial vehicle-assisted wireless energy re-distribution of the harvested renewable energy. Combining both massive low-rate sensing with high-speed 6G-envisioned transmission for data aggregation, the IoT architecture is of multi-scale, consisting of: i) global data exchange and analytics for energy mapping, re-distribution planning and forecasting, and ii) local data sensing and processing at individual highway lampposts for micro-energy management. The feasibility of the networked energy system is analyzed via analytical cost-reliability analyses. The cost analysis demonstrates the cost-effectiveness through the lowest Requirement of Energy and Cost of Energy for the setup and maintenance. The reliability analysis reveals the energy plus (E + ) feature of the system in certain conditions with enhanced reliability in adverse weathers that impact energy generation. With multi-scale data connectivity to intelligently manage standalone renewable energy, this work puts forward a viable idea of 6G use cases with massively networked energy sensors with a vision of achieving super-connected and intelligence-equipped highways.
    • Development of a new bio-microscope for 3D geometry characterization of fruit single cells

      Zhang, Meishuan; Wang, Yiheng; Wang, Junyi; Li, Zhiguo; Tchuenbou-Magaia, Fideline Laure (Wiley, 2022-09-16)
      Fruit cells are living irregular 3D transparent objects which makes them challenging to determine their real 3D size and shape through only two-dimensional (2D) images using the existing biological microscope. This study deals with a newly self-developed biological microscope including a microscope imaging system, a light source system, a stage and a support base for the 3D size characterization of fruit single cells. The main design concept is based on two optical path systems set up at the front (x-axis) and bottom (z-axis) directions of a transparent chamber containing single cells that allow the front view and bottom view of the single cell to be observed. Performance indicators such as mass, size, observation range, objective magnification, total magnification, focal range, focal accuracy and resolution of the developed biological microscope were estimated. Finally, the 3D geometry size of single tomato cells was measured by the new biological microscope to demonstrate the relative ease at which accurate real 3D geometry information of single fruit cells could be obtained, which echoes its scientific value.
    • Modeling of CO2 absorption into 4-diethylamino-2-butanol solution in a membrane contactor under wetting or non-wetting conditions

      Yuan, Cuiting; Li, Linlin; Li, Yifu; Pan, Zhen; Zhang, Na; N.Borhani, Tohid; Zhang, Zhien (Elsevier, 2022-09-14)
      In this work, 4-diethylamino-2-butanol (DEAB) as a new type of alkanolamine solvent is used for CO2 capture in a hollow fiber membrane contactor (HFMC). A model describing the gas and liquid reactions and transport inside the membrane contactor under the wetting or non-wetting conditions was built. The countercurrent flow of natural gas and solvent was considered in the model. To investigate the influence of solvent type on decarburization efficiency, DEAB was used and compared with other common solvents such as potassium carbonate (K2CO3), triethylamine (TEA) and diethanolamine (DEA). Under the same operating conditions, the impact of parameters such as humidity, gas flow rate, liquid concentration, membrane length on the decarburization performance was examined. The results indicate that DEAB solvent has the best overall performance especially under the wetting conditions. It was noted that increasing liquid concentration, membrane length and decreasing gas flow rate enhance decarburization.
    • Becoming better: Facilitating equality, diversity and inclusion in teaching and learning through intersectionality lens

      Suresh, Subashini; Sarrakh, Redouane; Mondokova, Andrea; Renukappa, Suresh; Karodia, Nazira; Adage, Ada (British Academy of Management, 2022-09-02)
      This developmental paper introduces a case study currently being conducted at a university in the United Kingdom. Mixed-methods research seeks to glean an understanding of students’ awareness of intersectionality, explore their experiences of current intersectional practices in teaching and learning within the institution, and recognise how these differ across the institutional faculties and departments. Following the data collection and analysis phase, the project aims to improve and increase the awareness and understanding of the topic of intersectionality in the HE setting, to aid students’ exploration of sense of self-identity and increase their understanding of identities of those around them. Finally, using a holistic approach, the project intends to help create awareness of intersectionality and its practices in teaching and learning across the institution so that all staff and students benefit from inclusive HE environment.
    • Impact of sustainability strategies on the Qatar oil and gas sector

      Sarrakh, Redouane; Renukappa, Suresh; Suresh, Subashini (British Academy of Management, 2022-09-02)
      Qatar had experience an unprecedent economic growth since the discovery of its fossil fuel reserves back in the 1990s. However, this economic growth had been accompanied by an unsustainable consumption of energy resources amongst citizens and organisations alike. Therefore, the Qatar government decided to follow up the footsteps of the rest of the world by adapting sustainability policies, which was in the form of Qatar National Vision 2030 in 2008. The oil and gas sector, and much like the rest of the sectors in Qatar urged for the implementation of sustainability strategies in order adopt the country’s vision at the organisational level through the Qatar Energy and Industry Sustainability Strategy in 2011. Although the QEISS has been introduced a while back, some organisations within the sector are still doubtful of the importance of sustainability initiatives to their future and the future of Qatar. This is the raison d’être of this paper, as it looks to highlight the impact of sustainability initiatives on Qatar oil and gas organisations. The paper follows a qualitative approach, interviewing 24 professionals from eight different Qatar oil and gas organisations. Thematic analysis has been adopted as the data analysis process. The study is currently at the data analysis stage. The preliminary findings of the paper note that organisations economic, environmental and social performances improve with the implementation of sustainability initiatives.
    • Evaluation of the role of artificial intelligence in delivering smart cities

      Griffiths, Kelly; Renukappa, Suresh; Suresh, Subashini; Mora, Luca (British Academy of Management, 2022-09-02)
      Smart Cities are having to find new techniques to deal with the increasing urbanisation situation in already overpopulated areas. A potential and developing solution is the use of artificial intelligence (AI) to enable these cities to tackle and overcome problems caused as a result of urbanisation. The objective of this review is to identify the breakdown of the different components of a smart city and understand published literature to identify and compile the impact artificial intelligence has on these 6 smart city attributes: smart economy, smart people, smart governance, smart mobility, smart environment and smart living. Artificial intelligence can have a number of potential positive impacts on Smart City evolvement and growth such as, education, public services, reduced travel times, intelligence and surveillance, increase energy efficiency and healthcare to name a few. It could however lead to a number of negative effects in unemployment, liability factor, trust, limited legislations, lack of emotive state and ethics and data breaches. Ultimately, the general public’s uncertainty, concern and general lack of understanding of the potential impacts of AI are obstructing its full use and potential, most of this stems from the lack of information given to the public regarding the future uses and potential AI brings. Further research needs to be carried out to fully understand the public’s concern to allow an action plan to be produced to ensure the public are on board with the implementation of AI. Without the public’s acceptance AI will not flourish and smart cities will not be able to cope with the increase of urbanisation.
    • How the UK transportation sector can achieve net carbon zero using building information modelling

      Manifold, Joel; Renukappa, Suresh; Suresh, Subashini; Georgakis, Panagiotis (British Academy of Management, 2022-09-02)
      The United Kingdom (UK) Transportation Sector (TS) does not currently align with the governments’ wider Net Carbon Zero (NCZ) approach. The Architecture, Engineering and Consulting (AEC) industries are anticipating strong growth over the coming decades and require more modern, digital approaches to design and planning to help reduce carbon emissions as well as improving carbon across project lifecycles. Building Information Modelling (BIM) processes are still seen to be in an infancy stage with regards to implementation on TS projects across the UK. However, The UK Governments BIM mandate has encouraged and increase the utilisation of BIM within the TS with studies demonstrating the positive effects BIM has by improving workflows efficiency, early identification of carbon hotspots within a project and more accurate understand of where design efficiencies can lead to a reduction in carbon emission. The purpose of this paper is to understand the current usage of BIM within the UKs TS and how general BIM practises and workflows can help contribute towards the NCZ approach, echoed by the UK Government. A systematic Literature Review approach has been conducted with the research question formed deriving from the Population, Intervention, Comparison and Outcome (PICO) system. In addition to this, inclusion and exclusion criteria to screen irrelevant information and help streamline research documents. After screening the relevant information, 18 pieces of literature reviewed were reviewed and helped identify six key drivers within this review such as Carbon reduction and BIM, BIM in Transportation Design, BIM uptake and usage in Transportation, BIM in Transportation Construction and Digital Twins and BIM. The conclusion of this review suggests uptake in of BIM in the TS is low in relation to other sectors and further research is required to demonstrate the potential for BIM workflows to help further align the TS with the UKs NCZ policy.
    • Industry 4.0 application adoption and implementation in UK infrastructure sector: Change management strategies

      Jallow, Haddy; Renukappa, Suresh; Suresh, Subashini; Al-Meraikhi, Hamda Salem (British Academy of Management, 2022-09-02)
      There has been a major focus on the improvement of productivity within the infrastructure sector through the use of Internet of Things (IOT) and Information and Communication Technology (ICT). These concepts have been proven to reduce the time of processing data while enhancing the communication between the parties within the organisation overall improving productivity. There has been plentiful research on modern technologies and processes such as the Building Information Model (BIM) which has indicated a promising method of positively influencing the cost issues through taking advantage of the constructions design. The UK government has invested a great amount into the UK infrastructure over the next couple of years, with this investment, standards were set by the Government which led to the introduction of the Building Information Model plus more strategic automated processes within the industry. Despite automated processes being introduced, the infrastructure sector are still yet to fully adopt and implement Industry 4.0 applications. There has been a number of publications on the topic Industry 4.0, however its relation to the infrastructure sector has a major lack of research. For this research study, case study methodology approach was adopted as there is lack of academic research on the topic. Ten semi-structured interviews were undertaken and a total number of five organisations took part in this study. Clients have been increasingly asking for more automated processes in order to increase efficiencies and improve productivity which is a benefit for them. One of the main key change management strategies adopted found in this research is training and upskilling of staff within the industry. It is concluded that he industry as a whole should implement Business models for their organisations highlighting key Industry 4.0 agenda and adoption and implementation guidance.
    • Challenges for adoption of smart healthcare strategies: An Indian perspective

      Subbarao, Chandrashekar; Renukappa, Suresh; Suresh, Subashini; Menon, Shyam (British Academy of Management, 2022-09-02)
      Smart healthcare management strategies have shown great promise in delivering the best quality healthcare to all and is the best possible solution to address the challenges in meeting the goal of quality healthcare to all. The Indian Government has set out ambitiously in this regard through the Ayushman Bharath Digital Mission (ABDM) which “aims to develop the backbone necessary to support the integrated digital health infrastructure of the country”. As this flagship project is rolled out, it is important to understand the various challenges to the successful uptake of this mission. The objective of this review is to systematically examine published literature to identify and compile a list of such challenges. The knowledge of such challenges is critical to make the ABDM successful. EBSCOHost, PubMed, Scopus, Science Direct and Open Access databases were systematically searched for full text, peer reviewed, English articles that have listed such challenges in the adoption of smart healthcare. In addition to these searches, the ABDM portal and the document store have also been used for analyses since the scope for this review is India. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines were used to select eligible articles. After the full screening,12 articles that met the criteria were analysed and used to identify 11 key challenges for adopting smart healthcare management strategies. Identified challenges will enable Indian health sector policy makers and healthcare leaders to understand and accurately evaluate potential solutions of adopting ABDM strategies. It is important to emphasise that the success of ABDM is dependent on its adoption by public and private sector entities and by individuals and decision makers. It is concluded that future research is needed in identifying key smart healthcare management strategies and key drivers for adopting smart healthcare management strategies.
    • Challenges for managing knowledge in post-pandemic universities and higher education institutions

      Abdalla, Wala; Renukappa, Suresh; Suresh, Subashini; Starr, Sean; Karodia, Nazira (British Academy of Management, 2022-09-02)
      Impact of COVID-19 is evident in all aspects of life, from economy, health, transportation, to education and personal lifestyle. In reaction to the devastating impacts of this pandemic, various strategies were introduced to reduce interpersonal contact and control the virus spread including lockdown and social distancing. COVID-19 pandemic accelerated the movement decisively toward the “digital transformation” and into a more digital society. Hence, online education, including eLearning and distance learning strategies, and other technology-based education strategies have been implemented as they were the only options for the continuation and completion of the academic year even though neither teachers nor students were fully prepared for this shift. The aim of this paper is to explore the impact of COVID-19 on universities and higher education institutions, and the role of knowledge management in managing change during the pandemic and in preparing better for post-pandemic. A critical review of the literature was conducted to achieve this aim. The findings revealed the impact of COVID-19 on universities and higher education and its associated opportunities and challenges. The findings also highlighted importance of knowledge management strategies in addressing those challenges and preparing better for the future.
    • Evaluation of sustainable business model innovation impacts for organisations: an application of the value mapping tool

      Martinez Volquez, Gabriel; Renukappa, Suresh; Suresh, Subashini (British Academy of Management, 2022-09-02)
      Creating and delivering economic, social and environmental value has become a priority for businesses around the world. Organisations that pursue sustainable business model innovation aim to contribute to the three pillars of sustainability by developing processes and capabilities to identify emerging opportunities, capitalise on those opportunities, engage with stakeholders, or adapt to changing circumstances. Thus, value creation help sustainable business models to increase their competitive advantage while ensuring resilience. The aim of this paper is to explore the impact of these activities. A qualitative enquiry based on semi-structure interviews allowed to expand current discussion and could help identify emerging themes. A design thinking value mapping tool is applied to present the findings and discuss avenues of value creation. The tool if often associated with ideation of sustainable business models, however, literature recognise its potential for the evaluation of their impact.