1,724,726 research outputs found
Episode 143: Environmental Justice with Sakshi Aravind
No full textIn this episode of Knowing Animals I am joined by Sakshi Aravind. Sakshi is a PhD candidate at Cambridge University. We discuss her paper ‘India and its Adivasis: Time to Reframe Environmental Justice’ which appeared in Soci-Legal Review in 2019. You can read Sakshi’s blog here: https://defiantecologies.home.blo
I am Witness to...': A profile of Sakshi Violence Intervention Centre in New Delhi, India
No full textIn her work on violence against women, Aanchal Kapur has been inspired by Sakshi, a group working in New Delhi since the early 1990s. In writing this profile of Sakshi, she hopes that others will be inspired, in turn, to join in the struggle against violence. It should become an integral part of networking and advocacy processes- wherever we live and work!
This article is hosted by our co-publisher Taylor & Francis. For the full table of contents for this and previous issues of this journal, please visit the Gender and Development website
141: Why we should diversify study samples (with Sakshi Ghai)
No full textWe chat with Sakshi Ghai (University of Cambridge) about why we should diversify sample diversity and retire the Western, educated, rich, industrialized and democratic (WEIRD) dichotomy in the behavioral science
Developing and evaluating reformulated snack bars using ingredients available in The Gambia
Full text linkMalnutrition remains a significant public health challenge in The Gambia, exacerbated by limited access to affordable, locally available, nutrient-dense snacks. This study aims to develop and evaluate a reformulated nutrient-rich snack bar using ingredients locally available in The Gambia, such as millet, baobab, and mango, with the potential to address malnutrition in developing countries like The Gambia.
A key component of this research is an online survey analysing snacking behaviours among diverse demographic groups in The Gambia. The survey will examine consumption habits, motivations for snacking, and nutritional gaps, with descriptive statistical analysis used to identify trends and influencing factors. This will inform product development to align with consumer preferences and dietary needs.
Following the survey, experimental formulations of the snack bars will be developed, incorporating locally available ingredients in varying proportions to enhance nutritional content. Using Nutritics software, the macronutrient and micronutrient composition, including protein, fat, carbohydrates, vitamins, and minerals, will be calculated. Sensory evaluation with UK-based participants will assess taste, texture, aroma, and overall acceptability through statistical methods such as ANOVA or T-tests.
A second online survey in The Gambia and UK will explore consumer perceptions of traffic light labelling on snack bars, with responses analysed to determine the impact on purchasing decisions. Findings will guide strategies for increasing product adoption, considering factors such as affordability, availability, and cultural relevance.
By bridging the gap between academic research and commercially viable products, this study aims to support sustainable food innovation with potential to addressing malnutrition in The Gambia through accessible and locally relevant solutions
Essays on Digital Platforms and Ecosystems
No full textThe thesis contributes to the growing literature on Digital Platform Ecosystems (DPE) evolution
by integrating resource orchestration (RO), dynamic capabilities (DC), and platform classification,
offering insights into how DPE develop, adapt, and sustain competitive advantage.
Digital Platforms (DP) unlike traditional organisations, leverage digital technologies for
continuous evolution and growth (Huang et al., 2017; Rindova & Kotha, 2001). Their architecture
fosters generativity (K. J. Boudreau, 2012) and provides the foundation for innovation,
adaptation and evolution (Spagnoletti et al., 2015; Yoo et al., 2012). Additionally, they cocreate
value at the ecosystem level (G. Parker et al., 2017).
Most of the existing studies on DPE evolution have focussed on manufacturing, digital marketplace
and social media sectors and have considered various theoretical perspectives such
as Complex Adaptive System (CAS), Activity System Perspective, Data-Technology Complementarities
and IS Capabilities to understand the evolution mechanisms of DPE (Alaimo,
Kallinikos & Valderrama, 2020; Sandberg et al., 2020; Stonig et al., 2022; B. Tan et al., 2015).
As the value in DPE is co-created at an ecosystem level, understanding orchestration mechanisms
involving ecosystem resources is crucial (Nambisan et al., 2017; G. Parker et al., 2017;
Zeng et al., 2023) for explaining DPE evolution. Such RO mechanisms have not been explored
much in DPE evolution context (Zeng et al., 2023).
The first paper of this thesis examines the DPE evolution mechanism building on resource
orchestration (RO) perspective, emphasizing the role of technologies in this process. I did a
case study on MoMo which is a leading payment platform in Vietnam and has evolved into a
wide spanning DPE. RO literature has mostly focussed on the internal resources of firm and
explain structuring, bundling and leveraging resources as the processes that managers adopt for
efficient and effective utilisation of resources to gain competitive advantage and create value
(Sirmon et al., 2007, 2011). Recent research extends RO perspective to an ecosystem level
indicating that interaction of internal and external resources shape scaling mechanisms (Zeng et al., 2023).
I build on RO perspective to explain the mechanism of DPE evolution in finance sector in
a developing economy focussing on the role of technologies. I explain that ICT (Information
and Communication Technology), data (digital) and AI (Artificial Intelligence) play a crucial
role in shaping orchestration mechanisms by enabling interactions in the ecosystem and act as
key mediating resources. ICT facilitates resource building and bundling for providing solutions
and financial inclusion, data enables platform structuring for scaling and growth, and AI drives
resource leveraging for enhanced user experience. I introduce new sub-processes enabled by
technologies to the RO framework (Sirmon et al., 2011). I also shed light on the dynamics
of network effects during the DPE evolution. These were initially driven by technology, then
users and thereafter data. The study explains the shifting nature of competitive advantage at
various stages that are crucial for DPE evolution (D. P. McIntyre & Srinivasan, 2017; Sirmon
et al., 2011).
Although first paper of thesis is about management and utilisation of resources, it is extremely
important to understand the development of dynamic capabilities (DC) and explaining
the role of technologies to address the adaptations and successful evolution of a DPE. This
paved the way for second chapter of this thesis which uses the same case of MoMo to explore
the development of technology driven dynamic capabilities.
Managing complex ecosystem-level interactions require firms to adapt their resources to
address various challenges in their environment. DC play an important role in managing extending
and adapting resources (Helfat et al., 2009). Although there is a lot of research on
DC (Teece, 2012, 2017; Teece et al., 1997; Winter, 2003), only a few studies extend it to an
ecosystem level (Feng et al., 2019; Haki et al., 2024; Linde et al., 2021; Teece, 2017) and the
existing literature provides limited understanding of the routines and processes involved within
an ecosystem context (Felin & Foss, 2012).
In the second paper, I explore the development of DC in the DPE evolution context exploring
the role of technologies and shed light on how these capabilities can be utilised for
attaining sustainable competitive advantage. I explain that DC play an important role in DPE
evolution. I also provide useful insights about technology driven DC. I found that ICT driven
DPE seizing capabilities, data driven DPE sensing capabilities and AI driven DPE reconfiguring
capabilities are required for the successful evolution of the DPE. The paper explains the
sub-processes involved and extend the view to previous chapter elaborating that IT driven seizing capabilities are crucial for building and bundling resources whereas data driven sensing
capabilities are crucial for structuring platform portfolio and AI driven reconfiguring capabilities
are crucial for leveraging capabilities. These capabilities further enable the mechanisms
of DPE resource acquisition, DPE resource allocation and DPE resource deployment fostering
sustainable competitive advantage through development, adaptation and enhancement of value
proposition leading to successful evolution of the DPE.
My case setting is a payment platform that originated in Vietnam and I explained its evolution
mechanism focussing on resources and capabilities. To be able to understand the DPE
evolution and its patterns across industries it is extremely important to consider a static view
of digital platforms. Most of the current classifications on digital platforms do not consider
a static and a unifying framework of classification of digital platforms (M. Cusumano et al.,
2020; Derave et al., 2024; Gawer, 2014).
In the third chapter, I contribute to the literature on digital platforms by developing a classification
of digital platforms on the basis of their origins. This offers a static view of digital
platforms so that their true characteristics could be understood and generalised. I use the insights
from existing literature and industry examples to classify platforms as commercial, social
media and industrial. This would pave the way towards identifying patterns in the evolution of
platforms emerging from different sectors focussing on their origins.
The third chapter is aimed at building a unifying foundational classification framework of
digital platforms. This taxonomy of digital platforms is based on their origins providing a static
view instead of dynamic view of digital platforms. This could help to understand the pattern (in
similarities and differences) in the mechanism of development of digital platform ecosystems
arising from different industries.
To summarize, through a case study of MoMo, a leading payment platform in Vietnam,
this research identifies technology-driven resource orchestration and capability-building mechanisms
in DPE evolution. Additionally, it develops a classification framework for digital platforms
based on their origins, providing a static view which could be helpful to analyze evolution
patterns across industries. This work advances understanding of how DPEs evolve, adapt, and
sustain long-term growth
Quality journalism: key to adapting in the digital age
No full textPolis Intern Sakshi Dayal reports on the latest Polis Media Agenda Talk featuring Andrew Miller, CEO of the Guardian Media Group. Read the full text here When I was young, Sunday mornings meant sitting on my grandfather’s lap, watching him read the newspaper, something generations after me might never witness
A study on creativity: Detection and network structures
Full text linkIn recent years, the topic of creativity has attracted extensive focus in the form of public discussion as well as research study. This has largely been in two areas: applying technology in order to innovate, as well as studying creativity in society and analyzing its dependence on social parameters and on network characteristics. Computational creativity has been used positively for automated creation of new content like art or recipes, but it is also being applied for pernicious activities like generating vile or misleading content, morphing pornographic or unethical videos/pictures to spread misinformation, or for blackmail. Such instances of fake content generated by artificial intelligence based generative techniques with potentially harmful applications are commonly referred to as deepfakes. This thesis consists of two parts that focus on each of these aspects separately. The first part deals with the detection problem for deepfake content. It outlines a classification problem for identifying an image as legitimate or fake, and obtains bounds on the expected performance while identifying fake content generated by generative adversarial networks. It further uses an approximation from Euclidean information theory for the low error regime and gives simplified bounds for the case where accuracy of the generative process is high. The second part deals with studying the effects of network parameters on creative productivity in social networks. It includes an overview of various theories on the ways by which network structure affects creativity, along with empirical results obtained by analyzing university innovation data alongside the online friendship networks for the same universities.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01The student, Sakshi Agarwal, accepted the attached license on 2019-04-24 at 14:03.The student, Sakshi Agarwal, submitted this Thesis for approval on 2019-04-24 at 14:08.This Thesis was approved for publication on 2019-04-24 at 14:53.DSpace SAF Submission Ingestion Package generated from Vireo submission #13870 on 2019-08-22 at 15:08:01Made available in DSpace on 2019-08-23T20:36:08Z (GMT). No. of bitstreams: 3
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Previous issue date: 2019-04-24Embargo set by: Seth Robbins for item 112202
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