BCOT® is an adaptable research tool designed to close the attitude-behaviour gap in survey research which has distorted socio-political, ethical sentiment and subsequent behavioural projections.
Ph.D created product that corrects core errors of large studies which are prone to conscious and unconcious social desirability bias reporting which has yielded inaccurate results on topics that define a person's character and their image in society.
The inherent problem is commonly found in research topics on geo-political. socio-economic and ethical behaviour, rooted in the resurgence of the 'consumer citizen' identity.
BCOT is the only tangible technique in the world for integration and implementation.
Backed by scholars | empirically tested and validated in the Doctoral Research
Winner of Best ESG Brand Strategy and Communications Consultancy (Global 100 Awards, EMG Publishing, 2023 & 2024). Voted Best Brand Communications Consultancy in London (Media Innovator Awards, 2021, Corporate Vision) and Best SME Brand Strategy Consultancy (Acquisition International, 2020). Best MA/MBA thesis (UK): Green Advertising Effectiveness in the Energy Sector (Worshipful Company of Marketors, 2011). 8 agency-affiliated advertising awards for campaigns across all sectors and media channels (2012-2016).
The US 2016 political polling projections created long-lasting effects that live on to this day. This existed beforehand and persists to this day.
Explanations for inaccurate results are often anecdotal and do not address the root problem.
Scholars and researchers in the field have known the reason since 1930s (LaPiere, R. T, 1934) - the problem lies in Response Bias, primarily Social Desirability Bias. In November 2023, this mature field in academia was acknowledged and published in a short a article in Marketing Week by thought-leader, Mark Ritson.
This issue has never been successfully solved; attempts over the last 65 years have failed (Nederhof, 1985) to create a tangible technique that can be used to finally fix a problem that is so pervasive, it casts a shadow over any attitudinal quantitative respondent-based research in socio-political and ESG topics.
The root cause lies in the attitude-behaviour gap and the intent-behaviour gap.
A simple explanation for the discrepancy between predictive behaviour in research and behavioural outcomes is the attitude behaviour gap:
Current studies on people’s predictive behaviour and attitudes are antiquated and no longer considered valid – the problem is referred to as the attitude behaviour gap, and the intent behaviour gap. This is primarily driven by social desirability bias.
The scale of the attitude / intent-behaviour gap is of much debate. The Edelman survey (2017) revealed that over 57% the global population would boycott a brand that didn’t align with their social and political beliefs. In the same year, a YouGov study found that only 21% of UK consumers have boycotted a brand. This is the disparity, or ‘gap’.
A simple explanation for the discrepancy between predictive behaviour in research and behavioural outcomes is the attitude behaviour gap:
Attitudes can often be used as a form of expression of oneself and if it does not convert to behaviour, it tends to serve the ‘self’, known as conspicuous virtue signalling (Wallace et al, 2020). Consumers’ interaction with brands in social media is an apt example of this - projecting one’s ideal-self without converting to actual behaviour serves to increase well-being and self-esteem (Hollenbeck and Kaikati, 2012; Wallace et al, 2020).
Extant theory proposes that behaviour is accomplished when a consumer-citizen overcomes obstacles and barriers which in turn indicates a higher sense of ethical duty and obligation, therefore transcending self-serving needs which can be accomplished through self-proclaimed attitudes.
The existence of the attitude-behaviour gap is uncontested in academia. We know that using attitude or intent as a proxy for behaviour is a bit like eating soup with a fork and has been out of fashion since the turn of the century.
Whether it is self-reported attitudes or intent, the theory of planned behaviour (Ajzen, 1991) which was based on the premise that said attitudes are a proxy to behaviour, has been disproven and rejected by the academic world for some time. The concern we found is that in quantitative survey methods, there is no tangible replacement – creating a sense of inertia when we review cross-sectional survey results.
Put bluntly, ‘research has not found the relationship between intention and behaviour to be a consistently strong one’ (Hulland and Houston, 2021, pp 437). Academic journals no longer publish studies in people’s ‘intent’ to do something, just their actions. This is because the difference is so big. Many scholars have provided an estimated to the size of the gap. Sheeran and Webb (2016) found that intent converts to behaviour only half of the time. They described the intent-behaviour gap as a road to hell that is ‘well paved’ (pp503).
The gap ethical (ESG) and political research. This is because these issues are reflective of one’s sense of self. Research shows that even if surveys are anonymous and online, respondents are still affected by bias and governed by social norms in their social bubble. be universal. When we consider quantitative polling in these spheres, we see a major problem in the value of published quant research which governs our lives decades after…
Definition and Mitigation Activation
The tool is the result of the creator's 5 years of doctoral research in SD bias mitigation and 15 years experience conducting/commissioning marketing and government research; creating strategies off the back of their findings.
BCOT® can be integrated into any type of research - closing the gap between claimed ‘intent’ and behavioural outcome which causes inaccurate predictive reporting.
A audut of prior survey studies indicate that people's claimed attitude intent in wildly different to their actual behaviour in real life
BCOT® is activated by the researcher who adds a section of 15 carefully crafted, unique set of items to a questionnaire which is designed to avoid inducing CMB (influencing respondents' answers of the remaining survey questions which is vital.
This section and post survey data analysis technique produces an Exaggeration and Accuracy Index for each respondent is based on the Psychologist Scholar - the Indexes create a segment of 'over-claimers'.
SD bias is well documented limitation and concern to social science research (Bradburn et al; 1979; Paulhus, 1984; Podsakoff et al, 2003; Müller and Moshagen, 2019) yet very little has been done to create a valid indicator to control for response bias based on attitudes, values, norms and of course intent. While it is acknowledged as an issue, there is a lot of criticism of the existing mitigation and impact measurement methods.
The greatest minds in social research have noted the issue of SD Bias to research data and finding up until now. This is why several mitigation techniques in the field of research design have been proposed and implemented to mitigate biases (SD Bias is a part of Response Bias which is a branch of Common Method Bias). This research leverages all of them. However, they barely shift the dial and more importantly, they do not measure bias or produce the kind of results and insights that BCOC® does. Still, it should be of comfort to know that these measures are also utilised.
My doctoral research into the motivations behind ethical consumer boycotting invariably had to address this challenge to research validity. While most accept that results will be ‘off’ as a result of bias and other factors, I looked for solutions
The issue of Social Desirability Bias is known to be the driver of the attitude behaviour and thus, my goal was to find a solution that can be adaptable and used in any research.
My aim was to prove that if the methodology and questionnaire survey was fair, we would find that egoistic motivations are drivers of ethical boycotting, not inhibitors – which was the agreed assumption by the world's authorities on the topic for the last 3 decades.
The creator spent years understanding why SD bias affects research findings and months searching for some kind of academic scale or technique. In the absence of any applicable solution, I invented one which was underpinned by the most respected academic experts in the field.
The doctoral efforts by creator Joshua Jalloul led to an actionable technique underpinned by conceptual frameworks in Psychology. BCOT® developed it into a workable tool that could be integrated into the main research survey
My study asked respondents in several different ways whether they have boycotted a product/service on ethical grounds in the last 12 months
Each respondent is given a exaggeration index and are labelled ‘over-claimers’ is the index is above a certain threshold. The threshold is relative to the entire sample. For instance, is the mean index is 0.4, overclaimers would likely be 0.6-1.75. If the mean is 0.3 – the overclaimers are labelled as such if they have an exaggeration index of 0.5+.
Results: Implementation of BCOT®
The total sample of my research is 671 (valid). Of these, 43 were identified as overclaimers (>0.5 exaggeration index) based on the above methodology and proprietary formula that provides indexes. 6.4% of the total sample are overclaimers. The 43 overclaimers contain only 2 respondents who did not engage in ethical consumer boycotting. Of the overclaiming segment, over 95% claimed to have ethically boycotted a product/service in the last twelve months.
In total, 71% of the nationally representative sample claimed to have ethically boycotted a product/service in the last twelve months. When the overclaiming segment is integrated into the wider sample of 671, the 71% becomes 89%! This is the kind of statistical skewness that we want to reduce in quant research.
So, of the overclaimers, almost of them claimed to be ethical consumers who boycott brands/services, which is markedly different to the other respondents. This is empirical proof that the BCOT® WORKS
The client (or research agency) will have a core objective revolving around a particular topic/issue.
As with all quantitative survey research, accurate findings are paramount. The nuts and bolts of the BCOT® methodology are confidential and would be discussed with a client in a consultation. Below is how it is integrated and used.
A series of items are developed based on the brief to be integrated into any questionnaire without affecting results.
The nature of the research requires items that are very nuanced and requires an experienced researcher in this field. This means that item selections are carefully considered – since some may induce respondent bias or induce negative reactions. A great example is researching GOP members. Creating statements that work for them and do not include statements (true or otherwise) that elicit negative emotions which influences respondent answers. This process is bespoken to the brief and when done correctly, garner the best results.
The set of BCOT® 'OCQ' items are adaptable and integrated into the larger research survey. It requires an expert in survey design to avoid Common Method Bias, question ordering and language use as techniques to mitigate said bias.
Through rigorous pretesting, qualitative and quantitative piloting, a number of specific techniques developed by Joshua Jalloul yielded far more accurate and effective items - unique to BCOT® to avoid or reduce biases.
Upon receipt of the collected data by the client, Accuracy and Exaggeration Indexes (EI) are created. The over-claimer threshold is based on the EI, which is calculated by the overall mean.
If desired, BCOT® has the scope to remove ('data clean') or segment 'over-claimers' from the wider sample set. Clients (or their research agency) can receive detailed summaries and insights; or if confidential, it can be provided with the top-line statistics of the sample’s composition as it relates to the BCOT® method with audience segmentation.
The research and BCOT® has no bias toward a cause. To conduct research and analyse data with bias is to render it invalid and prone to dismissal.
•Whether you are a non-profit political institution or a private enterprise, do you want to know what people really think?
•The sample’s findings can be applied to older survey results for review.
•How big is the attitude-behaviour gap?
•Has your research been gravely affected by the issue of social desirability bias?
Private Enterprise and Public institutions
Political organisations
Luxury Consumer Brands
ESG/Ethical Consumer Brands or Campaigns
A-political social and environmental institutions
Some examples of public and private institutions which want to know:
Behavioural Scientist, published scholar and doctoral researcher created an innovative solution to his own research on ethical boycotting.
Winner of Best ESG Brand Strategy and Communications Consultancy (Global 100 Awards, EMG Publishing, 2023 & 2024). Voted Best Brand Communications Consultancy in London (Media Innovator Awards, 2021, Corporate Vision) and Best SME Brand Strategy Consultancy (Acquisition International, 2020). Best UK postgraduate thesis on Green Advertising Effectiveness in the Energy Sector (Worshipful Company of Marketers, 2011).
Joshua Jalloul and all research conduct or strategised by Jalloul is strictly non-bias. This at the core of Research Ethics, and would void your research.
BCOT® is a scientifically robust PhD driven technology that has been piloted and empirically proven to work.
To arrange a consultation about BCOT and it expansive research offerings, fill in the below or email hi@bcotresearch.org
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