psychological determinants of consumer acceptance of food … · 2019. 8. 21. · market...
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Psychological Determinants of Consumer Acceptance of
Food Technologies- A Review
Nidhi Gupta, Arnout Fischer and Lynn J. Frewer
Marketing & Consumer Behaviour Group
Wageningen University
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Summary
Historically research into the determinants of public acceptance of merging technologies
(in general, and those focused in the agri-food sector) has tended to occur subsequent to public
rejection of the application of technologies. Increasingly such research may be used to explore
how such products will be received before they have been developed (“consumer pull”). Most of
the peer reviewed research is directed towards building our understanding on factors that play
an important role in determining consumer acceptance of food technology. From this review it
becomes clear that research has increasingly incorporated an ever-increasing variety of
determinants used to predict public acceptance. In particular, research is focusing on how
consumers make trade- offs between perceived risks and benefits, as well as the role of other
psychologically relevant factors such as affective response and the use of heuristics in
consumer decision making regarding the products of new technologies. However, the influence
of socio political and cultural differences in the results; in combination with the lack of studies
covering many regions in the world, implies that extrapolating the findings and interpretation
from one region to another is difficult. This is particularly relevant if the results are to be used to
develop a regionally focused market strategy. In many areas of emerging food technologies,
despite societal discussion about the need to develop research focused on consumer
acceptance, the actual peer reviewed literature is scare (for example, in the area of
personalised nutrition or nanotechnology applied to food production). Cross-cultural
comparisons outside of Europe and Northern America are also infrequently researched, in
particular using the same models and potential predictors of consumer acceptance.
The issue of public acceptance has been relatively well studied in the Europe and
Northern America, but peer reviewed data from South East Asia and other emerging economies
is scarce. Therefore systematic cross-cultural analysis using state of the art methodology, which
is also published in peer reviewed literature and made available in the public domain, is
required. Analyzing public acceptance of novel food technologies in these countries could be
very interesting as they comprise of some of the largest growing economies in the world, as well
as representing very many increasingly affluent consumer populations.
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1. Introduction
1.1 Technology, Society and Consumer Acceptance of Novel Foods
Producers, processers and wholesalers of food, as well as retailers, are negotiating the
development of new markets with many stakeholders across many regional and even cross-
continental borders. Successful development of new markets is, however, ultimately dependent
on consumer acceptance and purchasing of produced foods.
New technologies are increasing being applied to ensure food security as well as
providing additional consumer benefits related to health and quality. For example, limiting the
health burden caused by Vitamin A deficiency has motivated the development of Golden Rice
9which has been genetically modified to increase beta-carotene content of the diet, which is
metabolised to vitamain A). Consumer acceptance of food technologies is an important
determinant of consumer acceptance of the products themselves.
Understanding consumer responses to emerging technologies and their applications, is
key to optimizing strategic development of science and technology in the future, as well as
developing and refining commercialisation strategies associated with specific products (Frewer,
Howard, & Shepherd, 1997). Societal responses to the application of different technologies in
the agrifood sector has been a focus of increased societal concern in comparison to, for
example, medical applications of technology (Bredahl, 2001), in part because many of these
technologies have been developed without reference to potential consumer acceptance of
different applications in the agrifood sector per se (Henson, Annou, Cranfield, & Ryks, 2008),
contextualised by an increasing internationalised market. Although many of these technologies
promise to deliver profound benefits to society, they may also be associated with substantial
risks both in terms of environmental and health impacts (Gunter & Harris, 1998), and consumer
perceptions of risk. The risk- benefit trade-off for these technologies have often sparked
controversy and led to social, political and ethical debates in the past and today. In addition, it
makes little sense to consider food technologies in isolation of other technological events and
their relation to society, as attitudes to food technologies are informed by technological
developments in other spheres.
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Some new technologies have been transformative, insomuch as they impact upon the way
society structures and organises itself. For example; improvements in ICT technologies have
resulted in increased communication availability of individuals independent of time and space,
which potentially improves work-related flexibility, but on the other hand the increasing potential
availability pressure on individual working practices. The green revolution at the beginning of the
twentieth century has severely limited famine in the developed world and created opportunity for
large scale industrialised farming, rather than the labour intensive farm practice that were
dominant before this time. This has allowed cities to expand further, and agriculture to become
a sector with reduced dependency on human labour, resulting in increased employment in other
sectors. “Transformative technology has defined as a “social practice that embodies the
capacity of societies to transform themselves by creating and manipulating not only physical
objects, but also symbols and cultural forms” (Mordini, 2007). Evident from this definition is that
sequentially evolving technologies are not isolated from the general society in which they are
embedded, but contribute significantly to the social environment in which they are embedded.
The increased dependency of society on these technologies has indicated the need to
systematically assess “society-technology” interactions. Such interactions are “two way”. On
one hand, technology brings about radical changes in society, while on the other the fate of a
technology and its applications is determined by the society in which it is embedded. Increased
complexity in terms of technological developments poses new challenges to public
understanding of their implications, whilst at the same time these same developments are
shaped by public controversies and concerns (Horst, 2005).
Various technologies have historically been the subject of negative consumer and/or citizen
attitudes. Negative public attitudes frequently resulted in negative consequences for the
commercialization of these technologies. In particular, unpredicted events and accidents
affecting the public have resulted in fear and reluctance to adopt certain technologies for use in
society, as well as resulting in consumer rejection of the products of these technologies... The
market introduction of the first generation of genetically modified food crops created highly
polarised dialogue internationally. The high levels of societal debate was detrimental for the
adoption and commercialisation of GMO, at least in some regions of the world (Aerni, 2005;
Batrinou, Dimitriou, Liatsos, & Pletsa, 2005; Groth Iii, 2001; Klintman, 2002; Scholderer &
Frewer, 2003; Trait, 2001). As a consequence, the issue of societal acceptance of technology
has acquired immense importance in terms of strategic development, application and
commercialization of emerging technologies, not least in the agri-food sector.
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1.2 Science, Society and Food Technologies
In the context of potentially controversial technologies, food technologies deserve special
mention. It has often been stated in the literature that food technology may represent a
particular source of controversy (Slovic, 1987), and to some extent this is supported in the
scientific literature. Food is vital for human survival, and concern about its production and
preparation is widespread, at least in Europe (Hohl & Gaskell, 2008). Notable is the fact that
food-related issues co-evolved with human civilization. From surviving as hunters and
gatherers, humans evolved and mastered the art of agriculture, introducing new varieties of
edible crops and ways to grow and process these into safer and longer lasting foodstuffs, thus
improving food security. Agriculture rapidly became the most important occupation for many
members of the population across the world, which further led to the development of nations
evolving agriculturally based economies. Many food technologies can be described as
“transformative” as they have the capacity to transform society by introducing completely new
social phenomena. A case in point is demonstrated by the rise of agricultural technology which
shifted the dominant societal structure from the dominant nomadic hunter-gatherer paradigm to
one focused on stationary communities, with time available to develop more complex
technologies. Food consumption is integral to community survival, as well as having culturally
symbolic associations and implications for employment and societal structure. What once
started as simple means to control the growth of natural food sources to facilitate food security
now involves application of state of the art technology, involving highly mechanized tools and
technological innovations for production and processing. In the context of the global market and
international trade, food is treated as a commodity and its import and export enables
transactions within the global “food market”. Surplus food or food scarcity determines, to a
certain extent, the overall well-being of all nations thereby placing immense importance in areas
of applications of new technologies to food as decisive element of product and process
innovation (Henson et al., 2008).
Research and development activities in the food industry is currently investing in a variety of
novel production and processing technologies that may result in economic and high quality
products. Food technologies are not only used to enhance productivity and food security, but
are also used to develop new products with additional qualities which promote health and
sustainable production. The application of genetic modification to develop new traits in crops
has resulted in the introduction of crops with such as increased pesticide resistance, or ability to
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grow in arid conditions. Public opposition to the uncontrolled release of such genetically
modified plants has been well documented (Frewer et al., 1997). The strategic development and
commercialization of genetically modified animals for food production processes has been the
subject of continued public debate and scrutiny (E.g. see www.projectpegasus.eu). The cloning
of production animals has been a particular source of controversy in the US (Horst, 2005;
Sharma, 2005). Other recent developments include examples include functional foods and
nutrigenomics, which deliver health benefits to both humans (and potentially production
animals). The use of human genetic data in the delivery of personalized nutrition strategies
remains controversial (Ronteltap, van Trijp, Renes, & Frewer, 2007). More recently innovations
in nanotechnology are delivering improvements across the food chain, including production (for
example, the introduction of smart pesticides), animal health (remote bio monitoring of animal
health), improved delivery of micronutrients and quality enhancers through, for example,
microencapsulation) and improved safety and nutritional qualities (for example, through the use
of nano-filters to remove micro-organisms and undesirable food components such as saturated
fats from fluids). (See; inter alia, www8.nationalacademies.org, www.biont.wur). Despite
potential advantages, some resistance to nanotechnology has already been identified in some
parts of the worlds, for example, Switzerland (Siegrist, Stampfli, Kastenholz, & Keller, 2008).
Food technologies have the potential for long-term effects on human values, power
structures and ideas and act as potential drivers of socioeconomic, political and institutional
change (Crow & Sarewitz, 2001; Dolata, 2009). Examples of transformative food technologies in
the last century include the “green revolution”, in particular the widespread introduction of
chemical pesticides introduced in the early 1940s. Increased food security and reduced agrarian
labour requirements enabled a shift from rural to urban communities in the 1950’s and 1960’s,
and facilitated the restructuring of the workforce in many areas. More recently, cloning
technology has reduced uncertainties associated with plant and animal breeding, but also raised
ethical concerns in some areas of the world. (Table1). These innovative food technologies have
permeated society, at times being applauded by the society for its contribution to solving world
problems such as food security (as was the case in the “Green Revolution”), while
simultaneously raising public criticism and caution in the areas of food and feed safety,
sustainable agriculture and conservation of natural ecosystems as seen in the case of plant
genetic engineering (Byrne et al., 2002).
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Today, consumers are becoming more selective about what they consume, and more
conscious of the technological processes underpinning novel food production (Kornelis, De
Jonge, Frewer, & Dagevos, 2007). This reflects their increased concerns about food quality,
safety and its nutritional status, as well as societally relevant trends in terms of fair trade and
sustainable production (Da Costa, 2000). To ensure successful commercialization of emerging
food technologies and effective national, regional and international food governance, consumer
acceptance plays a pivotal role (Cardello, Schutz, & Lesher, 2007; Henson et al., 2008). The
way in which the public conceptualises different applications of food technology is driven by
perceptions of risk and benefit associated with particular applications or production methods
(Frewer, Howard, & Aaron, 1998). More recently, the discussion has focused on the
interrelationship between risk, benefit and cost, in terms of economic and ethical factors (Koenig
et al, in press). Effective risk benefit communication is also contingent on ‘societal trust’ in
regulators, regulatory institutions, industry and other food chain actors. The occurrences of
various food safety incidents, many of which have had international and national consequences
for quality of life and economic functioning has highlighted the need to develop and maintain
public confidence in the safety of food and in the management of emerging technologies (Eiser,
Miles, & Frewer, 2002; Van Kleef et al., 2007).
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Table1. Transformative food technologies developed and applied over the last sixty years
Technology1 First commercial application
Major impacts and effects of technology
Major actors
Pesticides (Crane et al., 2006; Haylamicheal & Dalvie, 2009; Rother, Hall, & London, 2008)
1940- DDT use
-Revolutionizes pest and disease management
-Increases agricultural productivity
-Ensured food security
-Increases environment consciousness
-Development of risk assessment models
-Regulators -Industrialists -Farmers -Consumers -NGOs - Bystanders and end-users
RFID (Reid, 2007; Wright et al., 2009)
1977- transponders
-Fastens payment services
-Privacy/tracking issues
-Security concerns
-Regulators -Policy makers
-Citizens -Companies
Genomics (Costa-Font & Mossialos, 2006; Foster & Sharp, 2002; Møldrup, 2001)
1988- mapping and sequencing of human genome
-Catalyses ethical debate
-Privacy issues -improvised health and nutrition
-food security -re-emergence of religious belief with scientific developments
-Regulators -Policy makers
-Scientists -Citizens Consumers
Genetic modification (Bauer, 2002; Lynskey, 2006; Pinstrup-Andersen, 2000; Talukder & Kuzma, 2008; Uzogara, 2000; Vergragt & Brown, 2008; von Geibler, Liedtke, Wallbaum, & Schaller, 2006)
1994- first GM crop
-Social, political and economic issue
-Health and environment concern
-Creates Ethical debate
-Mobilizes Pro poor discourse
-radical developments in pharmaceutical sector
- Regulators -Policy makers
-Farmers -Industries -Citizens - Consumers -NGOs
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Cloning (Kitzinger & Williams, 2005; Nisbet & Goidel, 2007)
1996- Cloned sheep “Dolly”
- Leads to ethical debate
-Privacy concern -Raises questions about quality of life
-religion
-Regulators -Policy makers
-Scientists -NGOs -citizens -consumers
Nanotechnology (Burri, 2007; Kuzma & Besley, 2008; Throne-Holst & Stø, 2008)
Now
- Decisive influence on production processes, energy and material use and communication and information systems
- Economic growth with reduced material consumption
- Cheaper, cleaner, lighter and stronger products
- Ethical debate - Political discussion - Environmental and
health risk
-Regulators -Policy makers
-Scientists -Farmers -Consumers -NGOs
1 References to the papers used to identify the moment of introduction, societal transformation and relevant stakeholders for each transformative technology
Societal rejection of technologies has generated wide interest in academia, particularly in
the arena of social and behavioural research, and science and technology studies (Sjöberg,
2002). Considerable research has been conducted on risk (and more recently benefit)
perceptions and public attitudes as these are believed to be among the most important factors
which potential influencing societal acceptance of new technologies (Alhakami & Slovic, 1994;
Barnett, Cooper, & Senior, 2007; Costa-Font, Rudisill, & Mossialos, 2008; Gaskell et al., 2004;
Johnson & Slovic, 1995; Knight & Warland, 2005; MacGregor, Slovic, & Morgan, 1994;
Poortinga & Pidgeon, 2006; Purvis-Roberts, Werner, & Frank, 2007; Renn, 2006; Savadori et
al., 2004; Schulte, Hart, & Van der Vorst, 2004; Sjoberg & Fromm, 2001; Slovic, 1996; Slovic,
Flynn, & Layman, 1991). Different research traditions have influenced how theoretical
understandings of risk and benefit perceptions operationalise societal responses to emerging
technologies and their applications. For example, research in the psychological tradition has
attempted to analyze how individuals define risks and to understand the key factors influencing
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risk perceptions, and how these influence behaviour and human decision-making (Ricci,
Newsholme, Bellaby, & Flynn, 2006). Empirical research on food risk perception has became
preeminent following to the debates about genetic modification of food and a number of
significant food scares in the 1990s, for example associated with food additives and
preservatives, pesticide use such as Daminozide (Alar) and organophosphates, mad cow
disease (BSE) in cattle, the Belgian dioxin crises, and other contamination incidents such as
Sudan red in international food chains, and cases of deliberate fraud such as melamine added
to milk powder in china to increase profitability (Houghton et al., 2008)
Many studies focused on (food) risk perception have been informed by the psychometric
paradigm developed in the late 1970’s to investigate public perceptions of the risks of nuclear
power, natural hazards, and chemicals (Slovic, 1996). Miles and Frewer (2001) report that food
risk perception is multidimensional and includes not only health risks but also risks related to the
environment, economy, animals, and future generations (Hohl & Gaskell, 2008). The
acceptability of food technologies reflects public attitudes toward technology in general, as well
as perceptions associated with specific technologies (Frewer et al., 1998).
This report will draw upon insights from social science research into the food technologies in
past which have had major impacts on society. This will facilitate better understanding of the
issues society faces as many new developments in food sector begin to have various impacts
on society. The report brings together published evidence from various empirical studies,
dealing with the issue of social responses to transformative food technologies. In particular, this
review aims to summarize the psychological factors relevant to understanding societal
technology acceptance or rejection. The social science approaches to understanding societal
responses to risk, benefit and technology will be assessed, together with temporal changes in
these activities with time and different geographical and cultural locations.
Thus this report aims to review the available evidence to answer the following questions:
• What factors influence public perception about food technology?
• What are the trends over time with regard to public perception research associated
with food technology?
• What are the regional trends with regard to public perception research associated
with food technology?
• What gaps within the research field can be identified?
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2. Methods
2.1 The Database
A search was carried out using the Scopus1 (electronic) database to identify scientific papers
which included information on determinants of consumer acceptance of technology. As the aim
of the research was to examine how different factors influence technology acceptance, non-food
technologies of importance in this regard were included. Scopus covers over sixteen thousand
peer reviewed journals belonging to scientific, medical and social science disciplines. The
search was conducted twice, once to gain information on which technologies have led to
relevant social research. Having identified these technologies, papers related to them were
collected using a set of search keywords. The keywords are entered in the search field matches
were identified “article, title, abstract and keywords”. The search was limited to peer-reviewed
articles and review papers and the subject area was confined to social science including
psychology. There was no restriction on publication date of the articles. The title, authors,
abstract, keywords and bibliographical data of the articles founded were stored in Endnote.
Duplicate articles, opinion papers and non related articles were omitted, leaving only relevant
articles and review papers.
2.2 Selection of Technologies
In order to finalize the technologies to be included in the present study, the search profile in
Scopus included the following terms: “new technology scare”, “technology scare”, “controversy
new technology”, “controversy new technology environment”, “fear new technology society”,
“fear new technology”, “risk perception new technology”, “risk new technology” and “new
technology consumer response”. The search led to in total 15,010 papers (Table2). A review of
these papers indicated that ten technologies were found to appear prominently (although not
necessarily evenly distributed in time). These were nuclear technology, Information and
communication technology (including computers, internet and GSM), Chemicals used in
agriculture (pesticide and insecticide), Biotechnology (Genetic modification, Genomics and
cloning), hydrogen technology, Radio Frequency Identification (RFID) and nanotechnology.
1 www.Scopus.com (subscription required). Only peer reviewed papers in the English language were considered as inclusion of non-English papers and finding non-published reports requires competences and capacity beyond the scope of this project.
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Table2. Preliminary search in Scopus for identifying the technologies
KEYWORDS RESULTS
New Technology Scare 25
Technology Scare 83
Controversy New Technology 702
Controversy New Technology, Environment 47
Fear New Technology Society 121
Fear New Technology 652
Fear New Technology Agriculture 15
Risk Perception New Technology 306
Risk New Technology 12,739
New Technology Consumer Response 335 A further literature search was conducted to gather papers focused on these technologies. The
keywords used for each of the technologies were: “name of the technology” AND “scare OR
fear”; “controversy”; “risk perception”; “consumer acceptance OR consumer response OR
consumer acceptability”; “societal response OR societal acceptance OR societal concern OR
social acceptability”. In total 301 papers were found to be of relevance. Table 3 illustrates the
breakup of the papers found for each of the technologies. Out of these ten technologies, six of
them are related to food. These six technologies will be used for further analyses.
Table3. Summary of papers found for specific technologies
Technology No. of relevant papers
“Genetic Modification OR GM OR GMO OR Genetically modified” 106
Genomics 13
Cloning 12
“Nuclear energy OR nuclear technology OR nuclear power” 49
“Hydrogen energy OR hydrogen fuel” 07
“GSM OR Mobile phones” 11
RFID 06
“Pesticide OR Insecticide” 33
Nanotechnology 17
“ICT OR Information technology OR Internet OR computer science” 47
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2.3 Analytical Categorization of the Literature
Relevant and important information such as year of publication, research question, country
(where the data were collected), methodology, and the results were extracted from the research
articles. Out of these 301 papers, 94 papers were found to address the factors affecting and
shaping social acceptance of food technology. The factors identified were categorized using a
grounded approach developed from insights into perceptions relevant to technology
acceptance. The categories were Expert versus Citizen knowledge; Affect (general, negative
and positive); General impact general, positive and negative); Impact on health (positive and
negative); Impact on the environment (positive and negative); Heuristics and decision rules;
Values (general, positive and negative); Perceived risk; Perceived benefit; Perceived cost; Risk
management (positive and negative); Risk assessment (complete and incomplete); Attitudes
(general, and negative); Ethics and values; Role of societal actors; Trust and culpability; Values
(general, positive and negative); Negative concern; Citizen knowledge; Individual differences;
Technology characteristics; Communication and Costs (see appendix for the abbreviations of
these factors used in the figures).
For all the 94 research papers, the countries where data were collected were noted. In total,
twenty five different countries were identified, (including research which had compared data
from consumers in different countries or cultural contexts) and, where available, studies
containing secondary data. These countries were then categorized into eleven regions : North-
West Europe (UK, Germany, The Netherlands, Switzerland, Belgium, Sweden, Poland, Ireland,
Norway); Northern America (USA and Canada); Latin America (Trinidad, Mexico and
Argentina); Mediterranean (Turkey, Italy and Spain); South East Asia (Malaysia, Japan);
Australia; Developing countries (Nepal, Bangladesh and Philippines); Sub Saharan Africa; India;
Cross Cultural (papers where data were collected for more than one country) and Secondary
Data (position papers and review articles). There were 11 research papers including cross
cultural analysis. These included some of the countries from the categories already described,
but in addition included some unique countries not found elsewhere. These were: France,
Greece, Portugal, Norway, China, Romania, South Africa and New Zealand. It is important to
note that data published in non-peer reviewed sources, or sources not included in Scopus, were
excluded from the analysis, in order to develop and maintain boundaries for inclusion, including
that of academic rigour.
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2.4 Data Analysis
The results of the categorization were arranged in an incidence matrix of 94 rows
(representing articles) and 30 columns (representing the determinants of technology acceptance
or rejection), with 1 indicating the presence of the determinant in that article, and 0 indicating its
absence. Correspondence analysis was used to analyze this matrix using SPSS.
Correspondence analysis is an exploratory data analysis technique for the graphical display of
contingency tables and multivariate categorical data. In this analysis the rows and columns of a
rectangular data matrix is scaled in corresponding units so that each can be displayed
graphically in the same low-dimensional space (Hoffman & Franke, 1986). Correspondence
analysis offers great potential for qualitative data analysis as it not only helps to identify the
existence of relationship between variables, but also helps to show how variables are related.
To avoid determinants with very low frequencies distorting the analysis, the determinants that
occurred only once were merged into broader categories (explicitly, the role of societal actors
positive and negative were merged into role of societal actors; risk management complete and
incomplete were merged into risk management and risk assessment complete and incomplete
were merged into risk assessment).
3. Result and Discussion
3.1 Determinants influencing public perception about food technologies
3.1.1 Determinants & Technology
Thirty determinants were found to influence public perception of six of the technologies
(Fig.1). From the graph we can see that perceived risk, trust, perceived benefit, citizen
knowledge and individual differences are the most studied determinants contributing to more
than 50% of the total number of times a determinant appeared in a study. Perceived risk was
found to be the most researched issue (13%), followed by trust (12%) and perceived benefit
(11.8%). Twenty eight % of the influential factors were explained by the constructs: attitudes
(general), negative health and environment impact, the role of societal actors, negative affect,
technology characteristics, cost and general values. The majority of papers associated with
determinants of social acceptance focused on the technology of genetic modification.
Correspondence analysis showed that certain determinants tend to be associated with
specific technologies (Fig. 2). Pesticides were found to be more strongly associated with
attitudes, and to a lesser extent with health impacts (ether positive or negative), citizen
knowledge and perceived benefits. The majority of the determinants studied were found to have
strong association with GM technology, which shows this technology has been investigated
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frequently and from many societal angles. The factors related to GMO were perceived risk,
positive environment impact, negative environment impact, negative impact general, role of
societal actors, negative health impact, perceived benefit, positive health impact, citizen
knowledge, trust, perceived cost, general attitude and general positive impact. Genomics was
found to be more strongly associated with technology characteristics, attitude, perceived cost,
positive impact and trust. Risk management and general affect were associated to a lesser
extent with genomics. Heuristics, expert versus citizen knowledge, ethics and values were seen
to be much more strongly associated with studies on cloning. In addition affect negative was
also associated with cloning but to a much more minor extent. Nanotechnology was seen to be
more frequently associated with risk management, affect, and technology characteristics. In
addition to these, perceived cost, attitude general, positive impact and trust were also
associated with Nanotechnology, but to a lesser extent. Research into RFID technology
indicated high association with negative affect.
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Determinants in different technologies
Genetic Modification Pesticide Nanotechnology Cloning Genomics RFID
Figure 1: Distribution of determinants across food technologies
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Figure 2: Correspondence Analysis of Technology and Categorized Determinants
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3.2 Public perception about food technologies- Regional and temporal trends
3.2.1 Trend over time
Figure 3 illustrates the distribution of research articles covering different food technologies over
the years included in the sample. The oldest paper dates back to 1988 and focused on societal
acceptance of pesticides. The most recent paper is from 2009 focused on Genomics. Pesticide
studies first featured in the analysis 1988, disappeared as a focus of scholarly attention, and
then again started featuring in research articles a decade later in 1998. In the case of Genetic
modification, the first publications were identified in 1994 followed by a few more studies in 1988
and 2000. After 2000, there had been a considerable increase in the number of studies related
to GM technology. Research articles on cloning appeared in 2000, 2002 and 2006. Similarly,
articles related to genomics followed a non-continuous publication trend, in 2004, 2006,
2007and in 2009. RFID related studies featured in just 2005. Most recent among these
technologies is Nanotechnology, with relevant papers being published in 2006, 2007 and 2008.
This trend can be partly related to year of introduction of these respective technologies.
Oldest among the technologies is pesticides which were first introduced in 1940, but which
became controversial after 1962 with the publication in that year of ‘silent spring’ by Rachel
Carson, inspiring widespread public concerns associated with pesticide use and environmental
pollution (Kroll, 2001; Pollock, 2001). Nineteen ninety four witnessed the initial
commercialization of genetically modified foods, and, ever since its introduction, the technology
has been exposed to media attention and societal debate about its merits or otherwise.
Research focused on the application of cloning technology to food started appearing around
1997 when the first cloned higher animal “Dolly” (sheep) was developed (note that the search
has excluded biomedical applications of cloning). Employing genomics in food (nutritional
genomics and personalized nutrition) is a relatively recent concept (articles were identified in
2004, 2006, 2007 and 2009). In the case of RFID technology, just one paper was found in the
year 2005. This might indicate that its application in food industry has not yet resulted in many
public perception studies. Nanotechnology is both in terms of its development and introduction,
the most recent among the technologies, and publications related to it are exclusively recent.
The analysis was extended to assess temporal trends in studying different determinants.
The temporal analysis indicates that research directed towards understanding transformative
food technologies is becoming increasingly sophisticated, as shown by an increase in papers
which also consider more determinants. The increase in research papers is related to an
18
increased number of determinants studied over the years (Fig. 4). Empirical studies on
determinants of technology first were first found in 1994 and for the year 2000 and onwards, the
research on different determinants has increased significantly (Fig.5). Key research issues
focus on risk perception, benefit perception, trust, knowledge, individual differences, attitude
and negative impact (health and environment), and the interrelationships between these
constructs Determinants such as perceived technology characteristics, the role of heuristics in
decsion -making, consumer perceptions of the potential for positive impact, and perceived cost
(economic and in social terms) were also found increasingly studied over the sampling period.
3.2.2 Regional trends
3.2.2.1 Trends across countries and technologies
The greatest numbers of studies covering food technologies have been conducted in the
USA (24% of the total sample). Studies conducted in the UK rank second, contributing 15% of
the total. Other countries where research has been conducted include Germany (5%), The
Netherlands (4%) and Switzerland (3%). Research in the majority of the countries focused on
GM technology, other technologies were addressed in the USA, UK, Germany, The
Netherlands, Italy, France, Japan, The Philippines and Switzerland (Fig.6). Other countries were
included in cross-cultural comparative studies. This shows a bias towards Western Europe and
Northern America in terms of research, with some exceptions in Asian countries. This may be
indicative for the larger focus on consumer research in these regions, although a possible
source of bias is that only publications in the English language were considered, which may
lead to under- representation of certain countries. However, within the context of this report it is
not feasible to include non-English publications.
The association between technologies and countries was investigated through application of
correspondence analysis (Fig.7).The results of the correspondence analysis indicated that there
is strong association between North Europe and studies on Nanotechnology, and less
association with cloning and RFID, and genomics. Research in North America and content from
secondary data indicates the greatest association between research focused on GM technology
and genomics. Sub-Saharan Africa, India, Australia and Latin America were also found to be
strongly associated with studies relating to GM and genomics. Mediterranean countries were
most strongly associated with research into pesticides.
19
0
2
4
6
8
10
12
14
16
18
20
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
20
00
20
01
20
02
20
03
20
04
20
05
20
06
20
07
20
08
20
09
Fre
qu
en
cy
Year of Publication
RFID
cloning
genomics
Nanotechnology
Pesticide
GMO
Figure 3: Distribution of Articles covering different food technologies in our sample over the years: 1988-2009 (N = 94)
20
0
10
20
30
40
50
60
1988 1994 1998 2000 2001 2002 2003 2004 2005 2006 2007 2008
No of determinants studied No of research articles
Figure 4: Distribution of research articles and the number of attitudinal determinants across time
21
0
50
100
150
200
1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
Fre
qu
en
cy
of d
ete
rm
in
an
ts
Year
POSIMP EXPvsCIT AFFNEG
NEGIMP NEGHEALTH NEGENV
POSHEALTH POSENV HEURISTICS
VALUES PERRISK PERBEN
PERCOST RM RA
POSATT ETHICS ACTORS
TRUST NEGATT ATT
KNOW AFFECT INDDIFF
TECHCHAR COMM COST
VALPOS IMPACT CONCERN
Figure 5: Distribution of determinants across time
22
Key to terms used in figure 5. and in subsequent correspondence analyses POSIMP=Positive Impact EXPvsCIT=experiment versus secondary analsysis AFFNEG=Negative affect or emotion
NEGIMP=Negative impact NEGHEALTH=Negative health impact NEGENV=Perceived negative environmental impact
POSHEALTH= Positive effect on health POSENV=Perceived positive environmental impact HEURISTICS=Heuristic assessment measures
VALUES=Human values assesses PERRISK=Perceived personal risk PERBEN=Perceived personal benefit
PERCOST=Personal cost assesses RM =Perceived efficacious institutional risk management RA=Perceived efficacious risk assessment
POSATT=Positive consumer attitudes ETHICS=Ethic concerns ACTORS=Conflict between different actors
TRUST=Consumer Trust NEGGAT=Negative attitude ATT=Attitudes in general
KNOW=Knowledge AFFECT=Affective response or emotional response INDIFF=Ambivalence
TECHCHAR =Perceived technology COMM=Communication testes COST=Perceived cost in general
characteristics
VALPOS=Consumer values positive IMPACT=Perceived impact CONCERN=Consumer concern
23
0
5
10
15
20
25
30
35
US
A
UK
Se
co
nd
ary
Da
ta
Ge
rm
an
y
Th
e N
eth
erla
nd
s
Ita
ly
Gre
ec
e
Fra
nc
e
Ch
ina
Ro
ma
nia
Ja
pa
n
Au
stra
lia
Sw
ed
en
Ph
ilipp
ine
s
Sp
ain
Me
xic
o
Su
b S
ah
ara
n A
fric
a
Ca
na
da
Ind
ia
Be
lgiu
m
Trin
ida
d
Ire
lan
d
Arg
en
tin
a
Ma
lay
sia
No
rw
ay
Ne
w Z
ea
lan
d
Sw
itze
rla
nd
Tu
rk
ey
Ne
pa
l
Ba
ng
lad
esh
Po
lan
d
So
uth
Afric
a
Po
rtu
ga
l
No
. o
f s
tu
die
s
Countries covering different technologies
Genetic Modification Pesticide Genomics
Nanotechnology Cloning RFID
Figure 6: Distribution of Food Technology articles focused on attitude development in different countries.
24
3.2.2.2 Trends across countries and determinants It appeared that regional variation in the study of the different determinants of consumer
acceptance did not matter much. A few determinants were specific to only one or two countries
(Fig.6). Perceived benefit appeared most frequently across the countries, accounting for 13% of
the total times a factor appeared in the sample across different countries. Next to it were
“perceived risk” (12%) and “trust” (11%). Individual differences, citizen knowledge and attitude
were researched across all countries (9%, 7% and 6% respectively). With regard to countries,
the USA was found to have research focused on 28% of the determinants. The UK (13%) came
second in this regard followed by Germany and Italy (8% each); although this is confounded by
the facts that these countries also contributing strongly to the research in this area in general,
due to probably attributable to a higher critical mass of researchers. Some of the determinants
that occurred least frequently in the sample across different countries were perceived positive
environment impact, perceived positive risk assessment, negative attitude, positive values and
general impact (Figure 7).This is probably because these terms are less relevant to people’s
perception of the acceptability of different food technologies.
More light was shed on the relationship between countries and factors by the application
of correspondence analysis. The results of the analysis shows certain countries are more
strongly associated with certain research activities / determinants than the others (Fig.9). It was
observed that North America and South East Asia were strongly associated with research
focused on consumer knowledge about food technologies, effective risk (and benefit)
communication, perceived risk, perceived benefit, consumer values, general technology impact,
perceived efficacious risk assessment and perceived positive environmental impact. North
Western European countries were more strongly associated with assessment of perceived
technology characteristics, the role of heuristics, perceived cost, perceived efficacy of risk
management, emotional responses to food technology, , positive consumer values, , negative
emotional or effective responses to food technologies, ,consumer trust in regulators, industry,
and information about food technologies, concern, expert versus citizen knowledge, and
negative health and environment impacts. Research in Latin America, Australia, India and
developing countries exhibited a similar profile to North West Europe. Australia and developing
countries were also associated with research focused on perceived cost, the role of societal
actors, ethical concerns, consumer attitudes in general, individual differences in attitudes and
perceptions, and perceived positive impact. . The Mediterranean countries were found to be
25
strongly associated with research into attitude (positive and negative) and (less strongly)
associated with general negative impacts.
26
0
20
40
60
80
100
120
140
PE
RB
EN
PE
RR
ISK
TR
US
T
IND
DIF
F
KN
OW
AT
T
CO
ST
AC
TO
RS
NE
GH
EA
LT
H
NE
GE
NV
PO
SIM
P
AF
FN
EG
ET
HIC
S
TE
CH
CH
AR
PO
SH
EA
LT
H
CO
MM
PE
RC
OS
T
EX
Pv
sCIT
VA
LU
ES
RM
PO
SA
TT
AF
FE
CT
NE
GIM
P
HE
UR
IST
ICS
PO
SE
NV
RA
NE
GA
TT
VA
LP
OS
CO
NC
ER
N
IMP
AC
T
Fre
qu
en
cy o
f d
ete
rm
ina
nts
Determinants studied in different countries
USA UK Germany Italy Sec Data France
Switzerland The Netherlands Sweden Belgium Australia Sub Saharan Africa
Trinidad Argentina Malaysia Japan India Mexico
Romania China Nepal Bangladesh Phillipines Spain
Canada Portugal Poland Norway Greece Turkey
Ireland South Africa New Zealand
Figure 7: Distribution of determinants across Countries. Key as for figure 5.
27
Figure 8: Results of the Correspondence Analysis of the Categorized Determinants and Countries
28
3.3 Gaps in current research
The analysis indicated that gaps in research on public acceptance of food technologies can
be identified. Most of the research has focused on GM technology. This may coincide with an
expansion of research into science and technology studies at a time when this particular
technology was becoming controversial in societal terms Alternatively the growth in research
may reflect increased societal debate about the development and application of technology per
se. This in turn may reflect recent advances in scientific complexity of technology, as well as the
fundamental nature of recent technological advances (for example, in the case of GM altering
the “basic nature of life”).
Most research into societal acceptance of technology has focused on specific key factors -
perceived risk, perceived benefit, trust, individual differences in perceptions and attitudes,
citizen knowledge, attitude and cost. On one hand, this may reflect temporal trends and
incremental increases in knowledge. These determinants may be the most robust in terms of
predicting attitudes, whilst it may also imply that the most frequently studied factors are also the
best predictors. The temporal analysis indicates that research directed towards understanding
transformative technologies in general, and emerging food technologies in particular, is
becoming increasingly sophisticated. Key research issues focus on risk and benefit perceptions,
attitudes and trust as determinants of acceptance. Research interest in these determinants has
been continuous over time indicating that these are among the more robust predictors of
consumer acceptance of new technologies and their applications that are currently known.
Most research published in the refereed literature and accessible through a standardised
data base has been conducted in North America and Europe. However, an important key point
is that little research which has been both peer reviewed and which is available in the public
domain has been conducted in South Eastern Asia, Africa, Latin America, China and India, at
least in the English language peer reviewed literature. . From an industry perspective, research
may have been conducted regarding the acceptability of specific food products. However, there
is little information available which can provide guidance regarding international policy regarding
the international harmonization of regulation and commercialisation of emerging food
technologies. One consequence for industry is that there is a reluctance to launch new products
into the marketplace, given concerns about public negativity internationally. A case in point is
that of nanotechnology, where numerous products are either ready, or close, to
commercialisation, but where there is little information available regarding local or international
29
consumer acceptance. In particular, a strategic development and commercialisation strategy is
needed for emerging markets in regions such as south East Asia, India and Latin America. It is
essential to conduct rigorous investigations in these areas using state of the art consumer
research methodologies. It is also important to look at differences in attitudes across regions at
the same time in order to make appropriate comparisons in both time and space. Future
research in these parts of the world could yield interesting observations and findings, especially
as different societal philosophies may reduce or enhance the explanatory power of specific
determinants. An example might include the individualistic focus in Europe and the USA
contrasted against a collectivist focus in Eastern Asia. In addition, as increased globalization is
resulting in increased call to harmonize regulations (regarding, for example, food and ingredient
traceability and labelling practices), understanding of consumer preferences and requirements
in this regard is an international priority.
In the case of novel food technologies, it is the interplay of more than one determinant
that shapes consumer preferences. Various psychological processes potentially influence
consumer preference for nutrigenomics based personalized nutrition – for example, perceived
risk and uncertainty; subjective norms perceived cost-benefit and perceived behavioural control.
In common with other research it is the (perceived) benefit to consumers which will determine
public uptake. Almeida et al (2006) have reported that consumers across six European
countries are willing to accept nutrigenomics if the products deliver “health benefits”. Research
into consumer concerns regarding nanotechnology applications in food suggests that trust in
government agencies, perceived benefits and general attitudes toward nanotechnology are
important factors in determining perceived risk associated with both the technology and its
agrifood applications. Emotional responses and perceived control have been shown to be
important factors influencing benefit risk perception. Perceived technology characteristics may
also found to influence consumer acceptance. For example, food packaging containing nano-
materials may be perceived as less problematic than foods containing nanoparticles.
Genetically modified foods present the area with by far the most extensively researched
determinants of consumer acceptance. Perceived trust in regulators and industry, consumer
concerns about unnaturalness, perceived personal control over consumption, and the consumer
requirements for choice over both production process and consumption of genetically modified
foods and ingredients determine consumer acceptance as much as perceived risk. There is no
30
reason to believe that similar consumer perceptions will not be equally influential in the area of
emerging technology developments such as nanotechnology.
Some of the psychological determinants of consumer acceptance of emerging food
technologies may be vary (in terms of predictive capacity and relative impact) in different
cultures and contexts. However, research is needed to determine if this is the case. By-and-
large the existing literature focuses on findings in Europe and North America. The results cannot
be automatically generalized to South East Asia. Therefore, additional consumer research, and
cross validation of results from Europe and America in South East Asia is suggested as a
research priority. Finally, despite extensive societal discussion about, for example, the issue of
personalized nutrition and human genetics, or application of (bio) nanotechnology to food
production, the peer reviewed research on attitude and acceptance in specific regions, such as
south East Asia is actually very limited. Differences in individualistic versus more community
oriented societies, and resulting ethical values may therefore not be generalized globally. The
priorities of different countries also need to be considered. Food availability remains an
international issue. However, as some populations became more affluent towards the end of the
20th century, the focus of food technology has shifted to food quality, and health. This is true of
affluent and emerging economies in particular.
Many published papers focus on the need to involve consumers and stakeholders in the
debate, without providing a methodology or strategy regarding how to operationalise this. The
developments of predictive models which will facilitate identification of commercialisation
strategies are also limited.
4. Conclusion
Research into public acceptance of food technologies is increasing. Historically such
research has tended to occur after public rejection of the application of technologies has
occurred. Increasingly such research is becoming contemporary with market introduction, or
may be used to explore how such products will be received before they have been developed.
This reflects a shift in emphasis from “technology push” to “consumer pull demonstrating that
public acceptance is accepted by many product developers as an important element of the
introduction of new technologies. To this end, most of the published research is directed
towards building our understanding on factors that play an important role in determining
consumer acceptance of food technology. From this review it becomes clear that research has
31
increasingly incorporated an ever-increasing variety of determinants used to predict public
acceptance. In particular, research is focusing on how consumers make trade- offs between
perceived risks and benefits. The extent to which such models have been developed has
increased over time, leading to more elaborate and indeed effective models for the prediction of
public acceptance of food technologies. However, the influence of socio political and cultural
differences in the results; in combination with the lack of studies covering many regions in the
world, implies that extrapolating the findings and interpretation from one region to another is
difficult. This is particularly relevant if the results are to be used to develop a regionally focused
market strategy.
This review has also indicated that most of the research applied to emerging food
technologies has been applied to genetic modification technology in food, while more recently;
applications of Nanotechnology in food are beginning to increase the societal debate discussion
about novel food technologies and public acceptance. Although there is considerable discussion
on issues of personalized nutrition, we find very few papers in the peer review literature
addressing public acceptance issues, which also provide data. In part, this is because the
market introductions of the more complex forms of the technologies have been limited.
The issue of public acceptance has been relatively well studied in the Europe and
Northern America, but peer reviewed data from South East Asia and other emerging economies
is scarce. Therefore systematic cross-cultural analysis using state of the art methodology, which
is also published in peer reviewed literature and made available in the public domain, is
required. Analyzing public acceptance of novel food technologies in these countries could be
very interesting as they comprise of some of the largest growing economies in the world, as well
as representing very many increasingly affluent consumer populations. Some of these countries
are the world’s largest exporter and importer of various food commodities, and thus research
which focuses on consumers’ responses to emerging food technologies in these developing
markets in increasingly important.
32
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