New research publication: Does proximity matter in cloud adoption?

I am pleased that my jointly authored paper that asks does proximity matter in cloud adoption? has now been published in the prestigious Journal of Information Technology.  

For researchers we develop an important proximity dimension to research on IT technology adoption with a focus on technologies which are assumed as remote or distant. We draw on the case of cloud computing to question existing assumptions.

For practitioners we show that those adopting cloud want a close interaction with cloud vendors, and so cloud cannot be as remote and ethereal as the metaphor implies. While it was assumed that cloud is purchased in a more impersonal and distant way and with minimal interaction between providers and purchasers, we show this not to be the case.  

Analyzing the experiences of over 50+ CIOs (or equivalent) across Europe, we explore the influence of the locational (where), relational (with whom) and temporal (when) dimensions of cloud adoption. Through our case evidence we show three types of proximity in cloud adoption: Organi-technical, Mercantile, Counsel proximity (see Table below).  

The influence of locational, relational and temporal dimensions on cloud adoption 

 Locational Relational Temporal 
Organi-technical Locationality of the servers and the data and their connection to the organisation. Relationship of the organisation with existing technology.  Retrospective and future projections of the nature of, and use of, cloud technology by the organisation. 
Mercantile Locationality of the sales team and customers.  Support in identifying and selecting the desired cloud service.  Retrospective and future projections of the collaboration with the vendor’s sales function. 
Counsel Locationality of expertise to assist with the decision making, and the availability of expertise once the cloud service is in use.  Access to trusted expertise and their ability to advise on the selection and future use of the cloud-services.  Retrospective and future projections of the technology’s capacity and vendor’s capacity to assist once the cloud service is in use. 

We show that during cloud adoption, organizations do not treat cloud as impersonal and location-independent by default. Consequentially, trust, mutual flexibility, value co-creation and risk-sharing between the organization and the vendor remain important areas for future research as the cloud ecosystem evolves and as further distributed technologies (e.g., IoT, blockchain etc.) are connected to an organization’s technological resources.  

For vendors, localized sales and support functions are beneficial within their marketing and sales efforts. The location of data is significant. Closer vendor-IT department relationships and sales support alongside a broader ecosystem of consultancies and sales agents help adoption. Vendors’ presence at local events enhances their potential to establish a relationship with a future customer. Local vendors can benefit from promoting their presence and locational relevance to future customers (e.g., alignment with local legislation), whereas international vendors may consider opening local branches or forming alliances with companies (e.g., consultancies) in locations with a large potential client base. Further, our findings on temporal proximity highlight the need for vendors to assist adopters in evaluating their product in relation to their existing technology and their projected future intentions (and the cloud technology’s future innovation).  

The research is available FREE and open access here:  https://journals.sagepub.com/doi/10.1177/02683962231186161

Full abstract from the journal: 

We show that proximity is significant during cloud computing’s adoption. This is counter to the prevailing assumptions of cloud adoption as being more impersonal and distant, with less interaction between provider and purchaser than on-premise technologies. We do this through an interpretive study of cloud computing adopters across Europe. We develop a conceptual framework of cloud proximity which draws attention to its locational, relational and temporal proximal dimensions. Our proximal analysis leads us to identify three aspects of cloud adoption where proximity plays a key role: mercantile aspect (e.g., cloud sales support), counsel aspect (e.g., access to internal and external expertise) and organi-technical aspect (e.g., the understanding of cloud technology and services alongside their organizational adoption context). By challenging assumptions of distant and remote adoption, we contribute to the cloud computing adoption research and raise questions for IT adoption in general. 

LSE is recruiting for assistant professor in Information Systems.

Come join our amazing group of information systems faculty!

https://jobs.lse.ac.uk/Vacancies/W/2843/0/401980/15539/assistant-professor-in-management-information-systems-and-innovation

LSE is committed to building a diverse, equitable and truly inclusive university

For this post, we particularly welcome applications from women and people from minority ethnic groups.

Department of Management

Assistant Professor in Management

(Information Systems and Innovation)

Salary is competitive with Departments at our peer institutions worldwide.

Salary is no less than £61,466 per annum, the salary scale can be found on the LSE website

In addition this post will attract a significant market salary supplement which reflects current market conditions.

The Department of Management plays a central role in the LSE, a global, single-faculty, social science university located in the heart of London. The Department is organised into faculty groups of information systems and innovation; employment relations and human resource management; operations management; managerial economics and strategy; organisational behaviour; and marketing. The Department’s faculty are engaged in research and scholarly activity within their faculty groups and across LSE in research centres such as the Data Science Institute and other interdisciplinary institutes. The Department’s degree portfolio includes the BSc Management, a two-year Master’s in Management, and a number of specialist one-year Master’s programmes, including the MSc Management of Information Systems and Digital Innovation (MISDI).

The Department of Management at LSE seeks to hire an outstanding Assistant Professor belonging to the Information Systems and Innovation (ISI) group. The post holder will contribute to the intellectual life of the School by conducting and publishing outstanding quality research, engaging in high quality teaching as instructed by the Head of Department, and participating in School and Department activities.

In recruiting for this position, the LSE intends to build on the ISI group’s distinctive socio-technical approach to research and education by adding depth specifically in emerging digital innovations. All members of ISI faculty are expected to contribute to our flagship degree, MSc MISDI. We will prioritise applications that show good understanding of our teaching programme and research tradition.

Successful applicants will have a PhD or be close to completing a PhD by the post start date in a social science discipline and/or an interdisciplinary field relevant to Management (Information Systems and Innovation).  A track record of internationally excellent publications, or a trajectory for achieving this, as well as a well-developed strategy for future outstanding research that has the potential to result in world-leading publications is essential. We also require a demonstrable ability to teach on undergraduate and postgraduate programmes in management.

The other criteria that will be used when shortlisting for this post can be found on the person specification attached to this vacancy on LSE’s online recruitment system.

In addition to a competitive salary the rewards that come with this job include an occupational pension scheme, research incentive scheme with personal reward options, generous research leave (sabbatical) entitlement, collegial faculty environment and excellent support, training, and development.

For further information about the post, including shortlisting criteria, please see the how to apply documentjob description and the person specification.

To apply for this post, please go to www.jobs.lse.ac.ukIf you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. For queries about the role contact: dom.facultyaffairs@lse.ac.uk

The closing date for receipt of applications is 25 September 2023 (23.59 UK time). We are unable to accept any late applications.

[Academic Call]: AI and the Artificialities of Intelligence.

I am really excited to be a co-chair of the following academic workshop at ESSEC & Université Paris Dauphine-PSL. Please join us if you can!

AI and the Artificialities of Intelligence: What matters in and for organizing?

Call for papers 14th Organizations, Artifacts & Practices (OAP) Workshop #OAP2024

When: June 6th and 7th 2024

Where: Paris (ESSEC & Université Paris Dauphine-PSL). Face-to-face event.

Co-chairs:

Ella Hafermalz (Vrije Universiteit Amsterdam)  François-Xavier de Vaujany (Université Paris Dauphine-PSL)    Aurélie Leclercq-Vandelannoitte (CNRS, LEM, IESEG, Univ. Lille)
Julien Malaurent (ESSEC)Will Venters (LSE)Youngjin Yoo (Case Western University)

This 14th OAP workshop jointly organized by Université Paris Dauphine-PSL (DRM), ESSEC and ESSEC Metalab will be an opportunity to come back to the issue of Artificial Intelligence and its relationship with the history, philosophy and politics of management and organization.

Artificial Intelligence now pervades discussions about the future of organizations and societies. AI is expected to bring deep changes in work practices and our ways of living. Utopian and dystopian narratives are abundant. However, AI is far from being a fleeting trend; rather, it constitutes a collection of techniques with a rich history dating back to the 1950s. AI serves as a broad framework deeply intertwined with ideals of rationalism and representationalism – much like the broader digital landscape it epitomizes. The aspiration in the realm of AI is that self-sufficient techniques will progressively and continuously enhance our comprehension of the world. By means of rules and the use of massive amounts of data, it is expected that learning capabilities make AI tools more and more likely to expose and elucidate the underlying realities of the processes they initially are designed to represent. Increasingly, AI transcends its role as a ‘unraveller’ of complexity in the present. It discloses our future, what will happen in the next seconds, days, month, years or centuries. It arguably encompasses the entirety of our potential futures.

As well as having a certain hold on our future(s), these powerful tools are impacting how we think. Our cognition and understanding of the world are dramatically extended, amplified, revolutionized, but also individualized, siloed, and cut off from traditional social processes of interaction and sensemaking. In this vein, the gap between our ways of acting (in an embodied way) and our ways of thinking, grows. The dualism at the heart of representationalism, although more and more visual, narrative and corporeal, become central and even foundational. Part of our cognition – and our social practice of gaining and sharing knowledge – is delegated to AI.

These artificialities of intelligence (in particular collective intelligence), will be at the heart of this 14th OAP workshop in Paris. Behind and beyond AI as a set of codes, norms, standards, and massive use of data, our intelligence is more and more artificialized. Our collective intelligence relies on a representationalist philosophy which starts from a problem (a request) submitted to Bard or Chat GPT, generative AI tools, offering then a relevant narrative likely to answer brilliantly and confidently. Co-problematization, inquiry, concerns, openness, in short, life, are not at all part of this equation. This artificial organizing process will be central in  our discussions.

In particular, we welcome abstracts likely to cover the following topics:

  • Artificialities of intelligence as organization and organizationality;
  • Historical perspectives on digitality and AI;
  • Historical perspectives on calculative techniques, cybernetics, AI and digitality in general, in relationship with management and organizationality;
  • Revisiting and problematizing traditional assumptions about knowledge sharing and communities of practice;
  • Ethnographies, collaborative ethnographies and auto-ethnographies about AI in organizations ;
  • Pragmatist inquiries about collective intelligence;
  • Critiques of cognitivism in organization studies and management, e.g., strategic management, accounting, marketing, logistics and MIS;
  • Explorations of the relationships between new managerial techniques and AI;
  • Temporal and spatial views about AI and artificialities of intelligence;
  • Phenomenological and post-phenomenological perspectives about AI in organizations;
  • Process perspectives on the artificiality of intelligence;
  • Critical views of AI and the artificialities of intelligence;
  • AI and the metamorphosis of scientific practices;
  • AI the dynamic of scientific communities and scientific paradigms;
  • AI and its political dimension in organizations.

Of course, our event will also be opened to more traditional OAP ontological discussions around the time, space, place and materiality of organizing in a digital era, e.g., papers discussing ontologies, sociomateriality, affordances, spacing, emplacement, atmosphere, events, becoming, practices, flows, moments, existentiality, verticality, instants in the context of our digital world.

Please note that OAP 2024 will include a pre-event, the Dauphine Philosophy Workshop also hosted by University Paris Dauphine-PSL on June 6th 2024 and entitled: “Beyond judgement and legitimation: reconceptualizing the ontology of institutional dynamics in MOS”.

Those interested in our pre-OAP event and our OAP workshop must submit an extended abstract of no more than 1,000 words to workshopoap@gmail.com. The abstract must outline the applicant’s proposed contribution to the workshop. The proposal must be in .doc/.docx/.rtf format and should contain the author’s/authors’ names as well as their institutional affiliations, email address(es), and postal address(es). Deadline for submissions will be February 3rd, 2024 (midnight CET).

Authors will be notified of the committee’s decision by February 28th, 2024.

Please note that OAP 2024 will take place only onsite this year.

There are no fees associated with attending this workshop.

Organizing committee: Hélène Bussy-Socrate (PSB), François-Xavier de Vaujany (Université Paris Dauphine-PSL, DRM), Albane Grandazzi (GEM), Aurélie Leclercq-Vandelannoitte (CNRS, LEM, IESEG, Univ. Lille), Sébastien Lorenzini (Université Paris Dauphine-PSL, DRM) and Julien Mallaurent (ESSEC).

REFERENCES

Aspray, W. (1994). The history of computing within the history of information technology. History and Technology, an International Journal, 11(1), 7-19.

Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021). Managing artificial intelligence. MIS quarterly, 45(3).

Chia, R. (1995). From modern to postmodern organizational analysis. Organization studies, 16(4), 579-604.

Chia, R. (2002). Essai: Time, duration and simultaneity: Rethinking process and change in organizational analysis. Organization Studies, 23(6), 863-868.

Clemson, B. (1991). Cybernetics: A new management tool (Vol. 4). CRC Press.

de Vaujany, F. X., & Mitev, N. (2017). The post-Macy paradox, information management and organising: Good intentions and a road to hell?. Culture and Organization, 23(5), 379-407.

de Vaujany, FX. (2022). Apocalypse managériale, Paris : Les Belles Lettres.

Introna, L. D., & Introna, L. D. (1997). Management: and manus. Management, Information and Power: A narrative of the involved manager, 82-117.

Nascimento, A. M., da Cunha, M. A. V. C., de Souza Meirelles, F., Scornavacca Jr, E., & De Melo, V. V. (2018). A Literature Analysis of Research on Artificial Intelligence in Management Information System (MIS). In AMCIS.

Öztürk, D. (2021). What Does Artificial Intelligence Mean for Organizations? A Systematic Review of Organization Studies Research and a Way Forward. The Impact of Artificial Intelligence on Governance, Economics and Finance, Volume I, 265-289.

Pickering, A. (2002). Cybernetics and the mangle: Ashby, Beer and Pask. Social studies of science, 32(3), 413-437.

Lorino, P. (2018). Pragmatism and organization studies. Oxford University Press.

Simpson, B., & Revsbæk, L. (Eds.). (2022). Doing Process Research in Organizations: Noticing Differently. Oxford University Press.

Thompson, N. A., & Byrne, O. (2022). Imagining futures: Theorizing the practical knowledge of future-making. Organization Studies, 43(2), 247-268.

Vesa, M., & Tienari, J. (2022). Artificial intelligence and rationalized unaccountability: Ideology of the elites?. Organization, 29(6), 1133-1145.

Wagner, G., Lukyanenko, R., & Paré, G. (2022). Artificial intelligence and the conduct of literature reviews. Journal of Information Technology, 37(2), 209-226.

Yates, J. (1993). Control through communication: The rise of system in American management (Vol. 6). JHU Press.

Understanding AI and Large Language Models: Spiders Webs and LSD.

The following light-hearted script was for an evening talk at the London Stock Exchange for Enterprise Technology Meetup in June 2023. The speech is based on research with Dr Roser Pujadas of UCL and Dr Erika Valderamma of UMEA in Sweden.

—–

Last Tuesday the news went wild as industry and AI leaders warned that AI might pose an “existential threat” and that “Mitigating the risk of extinction from A.I. should be a global priority alongside other societal-scale risks, such as pandemics and nuclear war,”[1].  I want to address this important topic but I want to paint my own picture of what I think is wrong with some of the contemporary focus on AI, why we need to expand the frame of reference in this debate to think in terms of what I will term “Algorithmic Infrastructure”[2].

But before I do that I want to talk about spiderman.  Who has seen the new spiderman animated movie? I have no idea why I went to see it since I don’t like superheroes or animated movies! We had childcare, didn’t want to eat so ended up at the movies and it beat Fast and Furious 26… Anyway I took two things from this – the first was that most of the visuals were like someone was animating on LSD, and second was that everything was connected in some spiders web of influence and connections. And that’s going what I am going to talk about – LSD and spider’s webs.

LSD Lysergic acid diethylamide – commonly known to cause hallucinations in humans.

Alongside concerns such as putting huge numbers out of work, of spoofing identity, of affecting democracy through fake news is the concern that AI will hallucinate and so provide misinformation, and just tell plain falsehoods. But the AI like LLMs haven’t taken LSD – they are just identifying and weighing erroneous data supplied. The problem is that they learn – like a child learns – from their experience of the world. LLMs and reinforcement learning AI are a kind of modern-day Pinocchio being led astray by each experience within each element of language or photo they experience.  

Pinocchio can probably pass the Turing Test  that famously asks “can a machine pass off as a human”.

The problem with the turning test is that it accepts a fake human – it does not demand humanity or human level responses. In response Philosopher John Searle’s “Chinese Room Argument” from 1980 argues something different– Imagine yourself in a room alone following a computer programme for responding to Chinese characters slipped under the door. You know nothing of Chinese and yet by following the program for manipulating the symbols and numerals you send appropriate strings of Chinese characters out under the door and this leads the outside to mistakenly assume you speak Chinese. Your only experience of Chinese are the symbols you receive – is that enough?

Our Pinocchios are just machines locked inside the room of silicon they inhabit. They can only speak Chinese by following rules from the programme they got – in our case the experience of Pinocchios neural network to data it was fed in training.

For an LLM or any ML solution … their “programme” is based on the rules embedded in the data they have ingested, compared, quantified and explored within their networks and pathways. LLM Pinocchio is built from documents gleaned from the internet. This is impressive because “Language is not just words, but “a representation of the underlying complexity” of the world, observes Percy Liang, a professor at Stanford University – except where it isn’t I would argue.

Take the word “Love” or “Pain”– what does it actually mean? No matter how much you read only a human can experience these emotions. Can anything other than a human truly understand pain? 

Or another way, as Wittgenstein argued, can a human know what it is to be a lion – and could a lion ever explain that to a human? Can our Pinocchio’s ever know what it is to be a human?

But worse – how can a non-lion ever know truly whether it has managed to simulate being a lion? How can the LLM police itself since it is has never experienced our reality, our lives, our culture, our way of being?  It will never be able to know whether it is tripping on an LSD false-world or the real-expressed and experienced world.

If you don’t believe in the partiality of written and recorded data then think of the following example (sorry about this) visiting the restroom…. We all do it but our LLM Pinocchio will never really know that …. Nobody ever does that in books, on tv, in movies, (except in comedy ), and very seldom in written documents except medical textbooks… yet we all experience it, we all know about it as an experience but no LLM will have anything to say on that – except from a medical perspective.  

This is sometimes called the frame problem. And it is easy to reveal how much context is involved in language (But less so in other forms of data which also has similar problems).

Take another example – imagine a man and a women. The man says “I am leaving you!” – The women asks “Who is she?”  You instinctively know what happened, what it means, where it fits in social convention. LLMs can answer questions within the scope of human imagining and human writing – not in their own logic or understanding. My 1 year old experiences the world and lives within it (including lots of deficating) … an LLM does not.

Pinocchios can learn from high quality quantified and clear data (e.g. playing Go or Atari Video Games) or poor quality data (e.g. most data in the real world or business and enterprise). Real world data, like real-world language, is always culturally situated. Choices are made on what to keep, sensors are designed to capture what we believe and record.  For example, in the seventeen centuries UK death record (around the time of plague) you could die of excessive drinking, fainting in the bath, Flox, being Found dead in street, Grief, HeadAche…

So now we need to think about what world the LLM or AI does live in… and so we turn back to Spiderman … or  rather back to the spiders web of connections in the crazy multi-verse universe it talks about.

LLMs and many other generative AI learn from a spiders web of data.

At the moment, most people talk about AI and LLMs as a “product” – a thing – with we interact with. We need to avoid this firm/product centric position (Pujadas et al 2023) and instead think of webs of services within an increasingly complex API-AI Economy.

In reality, LLMs, ML etc are a service – with an input (the training data and stream of questions) and an output (answers). This is perfectly amenable to integration into the digital infrastructure of cloud-based services which underpin our modern economy. This is where my team’s research is leading.

We talk about Cloud Service Integration as the modern day enterprise development approach in which these Pinocchios are weaved and configured to provide business service through ever more Application Programming Interface connected services. We have seen an explosion of this type of cloud service integration in the last decade as cloud computing has reduced the latency of API calls such that multiple requests can occur within a normal transaction (e.g. opening a webpage can involve a multitude of API calls to a multitude of different services companies who themselves call upon multiple APIs). The spiders web of connected AI-enabled services taking inputs, undertaking complex processing, and providing outputs. Each service though has training data from the past experiences of that services (which may or may not be limited or problematic data) and driving the nature of the next.   

So, to end, my worry is not that a rogue AI trips out on LSD… rather than we build an API-AI economy in which it is simply impossible to identify hallucinations, bias, unethical practices within potentially thousands of different Pinocchio’s within the spidersweb of connected interlinked services that forms such algorithmic infrastructure.

Thank you.

© Will Venters, 2023.


[1] Statement on AI Risk | CAIS (safe.ai)

[2] Pujadas, Valderrama and Venters (2023) Forthcoming presentation at the Academy of Management Conference, Boston, USA.

Spiderman image (cc): https://commons.wikimedia.org/wiki/File:Spiderman.JPG by bortescristian used with thanks.

Academic Colloquium: LSE Information Systems and Innovation Group

For the academics reading this blog it would be wonderful to see you at the following which the IRIS research project is sponsoring:

Research Colloquium on Digitalization and its Impacts

The Information Systems and Innovation Group within the Department of Management at the London School of Economics is pleased to announce a Colloquium on Digitalization and its Impacts which will be held on LSE campus in London on the 7th of June 2023. The Colloquium is an opportunity for IS researchers, at any level of experience and seniority, to discuss research related to key and emerging themes surrounding Digitalization in a constructive setting. 

The Colloquium will include research talks from noted IS scholars representing a range of different genres as well as discussions on the nature of Digitalization, and the opportunities and challenges it creates for business and society. 

Speakers include the following: 

Monideepa Tarafdar, University of Massachusetts Amherst 

Roberta Bernardi, University of Bristol 

Stefan Seidel, University of Cologne 

Philipp Hukal, Copenhagen Business School 

Emmanuelle Vaast, McGill University  

Full details of the agenda, as well as abstracts of the talks, will be provided closer to the date. 

The colloquium will be held in-person and we invite IS scholars to join us.  Attendance is free of charge (though attendees will have to cover their own travel and lodging costs). For administrative reasons, registration to the colloquium is required. Please click on the link below to complete your registration, no later than 31st May, 2023. 

 If you have any questions, do not hesitate to contact us at ISIGevent@gmail.com

We are looking forward to seeing you in June! 

Colloquium organizers:  

Chrisanthi Avgerou, Saonee Sarker, Susan Scott 

This event is sponsored by the EPSRC-funded project Interface Reasoning for Interacting Systems (IRIS) – EP/R006865/1. 

CIOs keen to drive consequential-innovation

A couple of weeks ago I chaired a Global CIO Institute conference, hosting a dinner, various talks, and round table discussions with CIOs.

What has struck me during all these interactions was the marked contrast between these CIOs at the coalface and the topics obsessed upon by LinkedIn/academic/journalistic style discussions. While CIOs are interested in topics like digital transformation, AI, robotics, data-lakes and lakehouses, the API-economy and the rise of ChatGPT (the usual LinkedIn fare) these were not what drove them. Their interest was much more on safely driving consequential innovation within their company’s line of business.

Of significant interest within this was the need to manage various forms of risk. Risk was not to be “avoided” – or as Robin Smith (CISO) at Aston Martin put it, we need to promote “positive risk taking” for innovation. All intervention generated risk. For some this manifested as needing guard-rails around IT innovation so creative and innovative staff were not constrained by the risk of a catastrophic failure. This was particularly true as low-code and citizen development expands. For CIOs, developing a culture of innovation demanded systems that allowed innovations to fail safely and elegantly.

Risk-taking behaviour within innovation was only one risk they face. Sobering conversations concerned external sources of risk and the need for business resilience in the face of pandemic, war, and cyber-security challenges. Any innovation in digital technology increases the potential surface-area that companies can be attacked through. This demands ever more sophisticated (and expensive) technical countermeasures but also cultural changes. While attention is driven towards the use of AI (like ChatGPT) for good, nefarious actors are thinking about how such tools might be used for ill. For example, attackers can use emails, telephone calls, and deep-fake video calls to sound, and even look, like a company’s CEO or top customer asking for help[1]. How can CIOs ensure their staff do not fall foul of these and various more technical scams? How can trust be established if identity is hard to prove? What happens when AI is applied to exploring possible attacks through Public APIs?

Also of significant concern was keeping-the-lights-on with their ever more demanding and heterogenous estate of products, platforms and systems. One speaker pointed out the following XKCD cartoon which captures this so well. The law of unintended consequences dominated many of their fears, particularly as organisations moved towards exploiting such new-technologies in various forms.  

 Source/: https://xkcd.com/2347/ (cc) XKCD with thanks).

What was clear, and remains clear, is that we need to have a view of the enterprise technology landscape that balances risk and reward. While commentators ignore the complexity of legacy infrastructure, burgeoning bloated cloud computing estates, and the risks involved in adding more complexity to these, those tasked with managing the enterprise IT estate cannot. 

These thoughts are obviously not scientific and are entirely anecdotal. The CIOs I met were often selected to attend, the conversations were steered by agenda etc. But they did remind me why CIOs are not as obsessed with ChatGPT as everyone might think.


[1] An executive from OKTA gave the example of this for Binance exec says scammers made a deep fake hologram of him • The Register

Header Image “Business Idea” by danielfoster437 is licensed under CC BY-NC-SA 2.0.

Recruitment: LSE Fellow in Management (Information Systems and Innovation)

Come join our group of Information Systems Researchers for a year: LSE Advert copied below.

LSE is committed to building a diverse, equitable and truly inclusive university

Department of Management

LSE Fellow in Management (Information Systems and Innovation)

Salary from £36,647 to £44,140 pa inclusive with potential to progress to £47,456 pa inclusive of London allowance

This is a fixed term appointment for one year

The Department of Management at LSE seeks to appoint an outstanding candidate in the area of Management – Information Systems and Innovation. The department’s faculty and research strength is centred in Employment Relations and Human Resource Management, Information Systems and innovation, Managerial Economics and Strategy, Marketing, Organisational Behaviour and Operations Management. The department’s faculty members are engaged in research and scholarly activity across LSE, through research centres such as the Centre for Economic Performance, the Behavioural Research Lab, and interdisciplinary institutes.  The department’s own portfolio of degrees includes the BSc Management, one-year and two-year MSc in Management, and six specialist one-year MSc programmes. 

The post holder will contribute to the Department’s teaching (postgraduate and/or undergraduate) and research activities in the discipline of Management – Information Systems and Innovation.

The successful applicants must have completed or be very close to completing by the post start date, a PhD in the area of Management including Information Systems and Innovation or a discipline relevant to the post.  A developing research record in well recognised peer reviewed outlets, and a clear and viable strategy for future research in the field of Management – Information Systems and Innovation is essential; as is relevant teaching experience and excellent communication and presentation skills.

For further information about the post, please see the how to apply documentjob description and the person specification.

We offer an occupational pension scheme, generous annual leave and excellent training and development opportunities.


If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email dom.facultyaffairs@lse.ac.uk.

The closing date for receipt of applications is 8 August 2021 (23.59 UK time). Regrettably, we are unable to accept any late applications.

An LSE Fellowship is intended to be an entry route to an academic career and is deemed by the School to be a career development position.  As such, applicants who have already been employed as a LSE Fellow for three years in total are not eligible to apply. If you have any queries about this please contact the HR Division.

I’m recruiting: Research officer in Information Systems and Innovation (IRIS Project)

We’re recruiting for the IRIS research team at the LSE!

Research Officer in Information Systems and Innovation (lse.ac.uk)

The post holder will work on the EPSRC funded project: Interface, Reasoning for Interacting Systems (IRIS). The IRIS project is a collaboration between University College London, Imperial College of Science, Technology and Medicine, Queen Mary, University of London, and the London School of Economics and Political Science.

The successful candidate will manage all stages of the research process. This will include coordination of data gathering; research production; dissemination and communication of research findings; demonstrating the impact of the research; and contributing to applications for further research funding.  The post holder will co-author outputs for the projects and will likely co-author the academic papers.

Candidates should have expertise and research interests in Information Systems and Innovation.

A completed PhD, or close to obtaining a PhD, in Information Systems or a relevant related field by the post start date. Proven ability or potential to publish in internationally excellent publications; and experience in qualitative research method skills.

For further information about the post, please see the how to apply documentjob description and the person specification.

 If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email W.Venters@lse.ac.uk  

The closing date for receipt of applications is 7 June 2021 (23.59 UK time). Regrettably, we are unable to accept any late applications.

DIIESL Seminar Series – Innovation in the interface economy – APIs, business value and ecosystems

DIIESL

Please join us for the next seminar in the DIIESL Seminar Series to be held online on Thursday 28th May 2021, details below.

DIIESL Seminar Series

Innovation in the interface economy – APIs, business values and ecosystems

Thursday 27th May 2021 

3.00 – 5.00pm (British Summer Time = GMT+1)

This is an online seminar, please click to register

Application Program Interfaces (APIs) arguably sit at the heart of innovating in this digital era. They allow the integration of cloud services, enable containerised applications (e.g. via Docker) to operate in new ways within Cloud environments, allow developers of all levels to innovate new services quickly and at low cost, and enable new business models such as product platforms and service ecosystems. For example, the explosion of AI technologies is, to a significant degree, enabled by APIs connecting cloud-based Machine Learning ‘Lego’ bricks to create ever new services at the point of need. In this way APIs are underpinning ‘combinatorial innovation’ (Yoo, Boland et al. 2012) of the modern cloud-based world.

Our third DIIESL seminar will bring together insights from academics working on Interfaces, APIs, modularity, and innovation.

Chairperson: Dr Will Venters, LSE

Speakers: 

Prof Nigel P MelvilleUniversity of Michigan, “Generating Business Value from Machine Interfaces: Models of Efficiency, Focus, & Transformation.

Dr Roser Pujadas, LSE, The role of interfaces in fostering digital ecosystems: A study of the online travel service ecosystem”.

Prof Hans Berends, KIN, Vrije Universiteit Amsterdam, Innovation ecosystems and systems of use: the role of intermediary platforms and users in creating complementary value.

For abstracts and speaker bios and for more information about DIIESL’s forthcoming and past seminars, please visit www.diiesl.org

(Image by Denny Müller on Unsplash)

LSE Sprint Week – in Covid times.

On this last day of term I thought I would take a moment to reflect on the online teaching of “Innovating Organisational Information Technology” at the LSE with Carsten Sorensen and, in particular, the hugely popular LSE Sprint Week; a week long sprint following Jake Knapp’s influential sprint book which I organise and run.

Old Sprint Weeks

Usually this involves ~100 students working together in a huge hall around tables and whiteboards (see left). But this year, with only a couple of weeks notice, I had to move this entirely online. 110+ students, 21 parallel Sprints, various technical and administrative challenges, a real-world business problem, and world-class consultants judging on Friday afternoon. All online.

The week starts with a presentation from VISA of a significant challenge our students must address: this year it was various scenarios of fraud using the fast-payment infrastructure. Having received the challenge I released the my pre-prepared MURAL.co templates for each group to follow. The templates set out exactly what each group needed to do each day and were vital to ensuring groups could self-manage the week. Mural is a whiteboarding solution allowing you to zoom right into tiny post-it notes or images (see below). The groups would then use the templates adding their work collaboratively during the week and submitting their design via the red box on Fridays template. The template contain everything the groups needed including templates, instructions and forms.

The template was thus designed to be followed without outside facilitation by faculty and with each student in each group taking the role of group-facilitator for one of the days. In addition, dice were thrown to see who would be the “Decider” in the group – the group-CEO who could be called upon to make any tricky decision. Dice work well for this – ensuring the role is not always allocated to the loudest and most confident in the group.

One useful feature of MURAL is the ability to create rooms for shared collaboration around whiteboards. I therefore created seven rooms and clustered the groups into these allowing them to each see two other groups Mural-whiteboards. Clusters allowed groups to compare, discuss and peer-review each others work, and reduced the stress on groups as they could see how two other groups were struggling or overcoming the challenges and ask them questions. It also increased drastically social interaction among students. Each day Carsten and I met with each cluster for 30minutes – providing feedback and answering questions. This was important as it allows us to review each group quickly and maximise the time we had. Zoom was used for these meetings. We also held short “All-Hands” meetings every morning to share learning with the whole 110 students.

Outside speakers are major part of the Sprint Week and we were delighted to have Jake Knapp himself join us on two days to present and answer questions. This proved important as it reinforced that, despite not having a face to face sprint week, this was just as intense, innovative and important an experience for our students. This message was reinforced by VISA’s innovation team who have used Mural.co all this year, and by Roland Berger’s Spielfeld Digital Hub GmbH team who joined later in the week. Thanks to sponsorship from Roland Berger we could provide students with a copy of the book as well! [Jake is 4 along, 2, down, myself 2,1, Carsten 4,1].

Jake proved amazing at lightening the mood and helping the students realise that online sprints are certainly possible, and can easily be useful, innovative and fun – reinforced by organising a zoom dance session.

Scheduling

With so many moving parts during the week scheduling was vital. Outlook calendar proved the best tool available for this. Sharing my calendar with my admin support, and sending meeting invitations to all the students, either on-mass or in their clusters, allowed us to schedule the whole week. This also allowed dynamic changes during the week to be shared quickly with everyone and, crucially, handled time-zone challenges for those working overseas (though many of these students had decided to shift their body-clock for the week and so worked nights). Below is the final schedule for the week. Notice that during Wednesday and Thursday we had sessions where Roland Berger consultants mentored each group. This consultant feedback, (including from some who were our Alumni), was vital as it give industry-relevant feedback and reassured groups that the skills they were gaining were relevant to industry today! Finally we bought a cheap mobile phone and through this provided a WhatsApp, WeChat, Voice and Email helpdesk (manned by Dr Boyi Li) throughout the week.

Evaluation

During a face-to-face sprint it is easy to gauge the mood of the teams and adjust the week accordingly – indeed this is one of the key skills of a facilitator. But for twenty-one online parallel groups this was impossible. As such I devised a daily “check-in” form using Microsoft Forms which each student needed to complete nightly and which I reviewed each morning. This was helpful in showing minor points for improvement, and also extremely satisfying to see the overall rating for the the week:

Marking:

The students received two forms of feedback for Sprint Week. The first was on Friday when I invited industry experts (from Visa and Roland Berger, PA Consulting, Government and Salesforce) to form a “Dragon’s Den” to watch the video pitches each group had prepared and judge the winners based on innovativeness of the pitch. This was a wonderful experience for groups and unveiled the “winners” of sprint week – who will go forward to present their ideas to VISA’s innovation labs next year.

This was not however the judgement of academic success, and after Sprint Week Carsten and I carefully marked each groups project based on the following criteria (listed on each groups MURAL) for their academic grade:

Having an academic grade for Sprint Week has been important in ensuring groups feel the stress of caring about their design. Each group then received a feedback form with a few paragraphs explaining the rational for the marks and outlining any limitations in their design – thus ensuring they learnt from the entire experience.

Teamwork support

Before the week started teams were encouraged to organise a meeting and use the Team Canvas to understand their working practices and plan the week. I also held a 1hr introduction to Mural so the students would know how to use the tool effectively prior to Sprint Week.

Video Conferencing equipment:

Finally I was also lucky enough to have very good quality equipment to run Sprint Week . I used an ATEM Mini Pro video switcher and my own good camera and microphones for meetings. These tools proved invaluable during the teaching as, within zoom calls, I could add overlays with information (e.g. lower-third messages about the day) and professionally switch between devices (e.g. my video camera, an overhead camera for drawing/whiteboarding, images, my tablet as a white-board, even my phone to show a Time Timer app). During meetings for example I could put my phone as a timer in the corner of my Zoom video images to keep students to time. This technology, while expensive and complex to use, improved the professionalism of my teaching this term and, perhaps, along with the work above, helped reassured students that they were still receiving an LSE quality sprint experience online.

My “Lecture Theatre” during Sprint Week! (the tin foil on the window was to stop the camera overheating in the sun)