The second annual “Social & Innovation Marketing lab” workshop will be held on site, at Toulouse Business School, on June 23rd. The workshop’s theme is “Marketing in turbulent times”.
We are experiencing unprecedented challenges due to several critical events. Whether environmental, geopolitical, technological, economic, or social, these critical occurrences dramatically affect our daily life, including business decisions and consumption choices. Marketing scholars and practitioners need to better understand the major changes in consumption to face such turbulent times.
We will talk about Marketing in turbulent times with two key speakers: Professor Aimee Drolet from University of California Los Angeles (UCLA) and Professor Andrea Ordanini from Bocconi University Milan.
We invite researchers, doctoral students, students, and practitioners to join this event. Do not hesitate to register by selecting one of the two options below:
- Research day with lunch: €40
- Research day with lunch and dinner: €80.
We are looking forward to welcoming you to Toulouse, la ville rose !
Before June, 20th, 2022
More informations : Linda HAMDI-KIDAR, firstname.lastname@example.org
The Finance Crowd Analysis Project is offering an unrivaled meta-scientific view in empirical Finance. 164 research teams worked on this project, an exceptional number in this field. It involved researchers from 207 institutions and 34 countries including central bank economists.
2 TBS Education associate professors involved in #fincap
Two TBS Education associate professors, Anna Calamia and Debrah Meloso, are co-authors of the research paper Non-standard-errors coming from Fincap. Anna and Debrah are professors in the department of Economics and Finance and are affiliated to the Finance, Economics, and Econometrics research laboratory at TBS Education. Their research has focused on the functioning of financial markets and they are engaged in several other projects together.
The first crowd-sourced empirical paper in Economics/Finance
Have you ever wondered whether researchers using the same data set to address a unique research question would come to the same conclusions? Fincap tried to answer this complex question.
This innovative project attracted eminent researchers, including some from the most prestigious French finance department. Fincap was run by project coordinators Anna Dreber, Felix Holzmeister, Juergen Huber, Magnus Johannesson, Michael Kirchler, Albert J. Menkveld, Sebastian Neusuess, Michael Razen, and Utz Weitzel from the Stockholm School of Economics, the University of Innsbruck, and the Vrije Universiteit Amsterdam.
In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors. Their size (i) co-varies only weakly with team merits, reproducibility, or peer rating, (ii) declines significantly after peer-feedback, and (iii) is underestimated by participants.
Gilles Lafforgue has been appointed member of the Commission on the Economy of Sustainable Development (CEDD) of the French Ministry of Ecological Transition. The title of qualified personality for his economic expertise was awarded to him in this context. Very involved in the research sphere in terms of sustainable development and recognized for his economic expertise, this professor-researcher at TBS Education had participated in the French Carbon Commission from 2017 to 2019. His involvement and the recognition of his high skills are confirmed with this new appointment.
The role of the Commission on Sustainable Development Economics
The CEDD was created on November 10, 2020 at the initiative of the French Prime Minister and the French Minister of Ecological Transition. It succeeds the Economic Council for Sustainable Development. The CEDD provides assistance to French public decision-making on sustainable development from an economic perspective.
The mission of this consultative commission is to provide insight into the fields of the environment, energy and climate, transportation and housing. To do this, it relies on the analysis of statistical data and the comparison of economic analyses, the development and evaluation of public policies in these areas.
The objective of the “Environment” group
The professor-researcher will participate more specifically in the work of the “Environment” group, whose objective is to examine and discuss the economic accounts of the environment (monetary and physical flows relating to natural environments, natural resources, the circular economy, or the reduction of emissions and consumption).
Together with a group of international colleagues from the 5C Collaborative (www.5c.careers), I studied employability, defined as an individual’s perception of being able to find alternative jobs in the external labor market. I have studied this subject with particular attention to older workers, as individuals are forced to work longer in their lives; paradoxically, however, as they age, they face great discrimination when seeking or re-employment. We conducted a survey in 30 countries and collected responses from over 9,000 people employed in managerial or professional jobs. By analyzing this data, we were able to show that older workers perceive a disadvantage in terms of external employability, but that having experienced development activities throughout their career mitigates this situation.
Discover TBS professor Louise Curran’s point of view on the effect of COVID-19 on international trade policies.
As COVID-19 has spread across the world it has had major impacts on supply chains. It is reasonable to assume that the impact on trade flows may be even greater than that for the GFC in 2009, where world trade fell by over 20%. Most of this is an entirely natural result of the closure of many production structures around the world. However, some trade impacts are the direct result of trade policy interventions by governments, which presage a more major and long-term impact from the current crisis. Discover more in the video below:
Discover TBS professor Timo Mandler’s point of view on building brands in markets that have reached the post-globalization stage.
Consumers in Western markets are increasingly critical towards globalization and re-embrace local values. Companies thus must decide whether to continue to pursue global branding strategies and/or rejuvenate local branding strategies. To explore the implications of market globalization for consumer preferences, we use signaling theory to investigate the role of perceived brand globalness and localness as signals of brand credibility, related downstream effects and boundary conditions, across two countries with differing levels of globalization. In globalized markets, brand globalness is a weaker signal of brand credibility than brand localness, whereas in globalizing markets, the two signals are of equal importance.
To establish an innovative business model, disruptive start-ups use a strategy resting on two complementary processes: building a discourse which will engage clients and partners in the new ecosystem, also known as framing, and continuous adaptation of their business model in response to the needs of clients. This will be illustrated by the case of Salesforce versus Siebel in the business software industry at the start of the 2000s.
Cases of successful disruptive innovation, where a start-up manages to radically transform the functioning of an industry, remain exceptional. Among the best-known are Amazon with the distribution and sale of books or Netflix which revolutionised the film distribution industry in the United States. They have resulted in the creation of a new business model which shifts the industrial ecosystem’s centre of gravity away from the historic leader and towards the start-up, and ends up creating a new ecosystem around the start-up. Business
model innovation is characterised by new sources of value creation, the arrival of new clients and partners and the implementation of a new kind of organisation, which rivals the business model of the historic leader and gradually replaces it.
Revealing one’s intentions from the outset
Up until now, studies of disruptive innovation have been more interested in the reaction of existing businesses, and much less in the manner in which the start-up succeeded in establishing its business model. Hence, the importance of understanding the processes set
in motion by the disruptor, which starts off with slender means with which to attract clients, partners, the media and analysts, and ends up taking the lead over an established and much more powerful competitor, and in some cases, making it disappear.
This is the process that we call the disruptor strategy, whose aim is to reduce uncertainty in order to engage consumers and partners as players in the creation of the new ecosystem: from the outset, in order to get their attention and support, the start-up reveals its
intentions and ambitions through framing, ie, the construction of an effective discourse and presentation. At the same time, it must adapt its business model and its product to achieve the best possible offer for its clients and partners. The combination of these two actions
creates a virtuous circle and puts the historic leader on the horns of a dilemma: retaliate at the risk of legitimising the new business model, or do nothing and risk being overtaken.
Salesforce and the emergence of the cloud
The study of the emergence of Salesforce between 1999 and 2006 against Siebel in the management and client relation (CRM) software sector illustrates the concept of disruptor strategy. Originally, software publishers (Siebel, SAP) sold their clients CRM software and
costly products associated with maintenance and consulting services. Salesforce’s innovation consisted of coming up with a much less expensive business model, based on cloud computing, with SaaS services available by subscription. In the first instance, this product was aimed at consumers who were not part of the Siebel ecosystem.
Before Salesforce had even launched, it was already addressing the ecosystem with a discourse emphasising its unique affinity with the “no software” revolution, and then its leadership, via press releases, interviews and dramatic stunts. This framing found an echo with start-ups and small-to-medium-sized businesses lacking the means to invest in a heavy system; with partners interested in the new ecosystem; and with the media and analysts who relayed and amplified Salesforce’s discourse and took up a more critical position in relation to Siebel. At the same time as new consumers were starting to get interested in the product, Salesforce was continually improving it to reach the standards expected by the majority of existing consumers. By combining these two framing processes and adapting the business model, the start-up had started to seduce Siebel’s clients and partners within two or three years.
In the face of Salesforce’s offensive, Siebel didn’t react at first. The firm stayed with its old model without taking account of the new needs created by a competitor which it didn’t yet perceive as such. It only launched into the cloud in 2003, three years late. A vicious circle, symmetrical with Salesforce’s virtuous circle, falls into place: poor responses, mounting criticism in the media and from analysts, mass exodus of clients and partners to the new ecosystem. Finally, in 2006, Salesforce became the leading supplier of CRM services, while Siebel was bought by Oracle.
A situation that was hard to predict
The Salesforce-Siebel case is a prime example of the establishment of a new business model. It highlights the importance of these two complementary processes of framing and adaptation in the disruptor’s strategy. This is, of course, an individual case, but it shares elements with other cases of successful disruption like Amazon and Netflix. For businesses, there are a number of lessons to be learned from these results. For the disruptors, it’s about the importance of pulling on both levers at the same time, given that the temporal window is limited. That means they have to find a way to reveal themselves clearly, but without being too precise, so as not to limit their scope for adaptation. In its framing, Salesforce presented itself as the leader by stating that it was offering a better value product and that its service was cheaper, but without going into the key points of the new business model.
For the leader, it’s hard to know how to react. Siebel had logical reasons for not responding to Salesforce in a market sector in which – at first at least – it had no interest. It’s very tricky to predict whether a start-up will be successfully disruptive or not. The problem is that Salesforce gained a competitive advantage by learning faster than Siebel. Siebel didn’t ask itself the right questions for several years, and the needs of Salesforce’s start-up clients were ahead of the needs of its own clients. When the firm did finally take action, its cloud didn’t function as well as Salesforce’s one, despite an R&D budget and far greater human resources.
To avoid this, existing businesses must therefore develop a strategic vision, an understanding of what is happening in their environment, in order to try to learn more quickly than the start-ups and be attentive to the market of tomorrow. But it’s very difficult for a firm to say that in 10 years’ time its clients will want products that are completely different from those it has on offer today.
This article is a synthesis of the publication “An Ecosystem-Level Process Model of Business Model Disruption: The Disruptor’s Gambit”, published in the Journal of Management Studies. It presents the results of a longitudinal study carried out by Yuliya Snihur (Toulouse Business School), Llewellyn D.W. Thomas (Imperial College London, Universitat Ramon Llull) and Robert A. Burgelman (Stanford School of Graduate Business), from the case study of Salesforce and Siebel, combining a theoretical approach and the analysis of a documentary base of historic data.